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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
eb4b3a57c36fb29e43b2cced38581d7861670f8e | 1,639 | py | Python | utils.py | josslei/Gender-Detection | 51c122eddeb33caf9350a3d974b0842fdc329527 | [
"BSD-3-Clause"
] | null | null | null | utils.py | josslei/Gender-Detection | 51c122eddeb33caf9350a3d974b0842fdc329527 | [
"BSD-3-Clause"
] | null | null | null | utils.py | josslei/Gender-Detection | 51c122eddeb33caf9350a3d974b0842fdc329527 | [
"BSD-3-Clause"
] | null | null | null | import torch
import torchvision.datasets as datasets
import torchvision.transforms as transforms
import os
import sys
def export_sample_images(amount:int, export_dir:str, dataset, shuffle=True):
os.makedirs(export_dir, exist_ok=True)
loader = torch.utils.data.DataLoader(dataset=dataset, batch_size=amount, shuf... | 34.145833 | 99 | 0.633923 | 222 | 1,639 | 4.540541 | 0.432432 | 0.044643 | 0.035714 | 0.039683 | 0.059524 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011085 | 0.229408 | 1,639 | 47 | 100 | 34.87234 | 0.787015 | 0 | 0 | 0 | 0 | 0 | 0.115995 | 0.017094 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.116279 | 0 | 0.186047 | 0.116279 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb4eec18185b7f1ef93165dd8d50086af9250306 | 4,708 | py | Python | waveletcodec/wave.py | zenathark/jg.waveletcodec | 7994dd18ef5472e7e4d6447062cf4dc3c2f6463f | [
"MIT"
] | 1 | 2017-05-14T01:42:18.000Z | 2017-05-14T01:42:18.000Z | waveletcodec/wave.py | zenathark/jg.waveletcodec | 7994dd18ef5472e7e4d6447062cf4dc3c2f6463f | [
"MIT"
] | null | null | null | waveletcodec/wave.py | zenathark/jg.waveletcodec | 7994dd18ef5472e7e4d6447062cf4dc3c2f6463f | [
"MIT"
] | null | null | null | """Represent a Wavelet Coefficient Set.
.. module::wave
:platform: Unix, Windows
.. modelauthor:: Juan C Galan-Hernandez <jcgalanh@gmail.com>
"""
import numpy as np
import waveletcodec.tools as tools
import waveletcodec.lwt as lwt
import cv2
import math
#Constant Section
CDF97 = 1
#End
class WCSet(np.ndarray... | 26.301676 | 79 | 0.591334 | 640 | 4,708 | 4.301563 | 0.271875 | 0.020341 | 0.017436 | 0.017436 | 0.228115 | 0.151834 | 0.133672 | 0.133672 | 0.102434 | 0.102434 | 0 | 0.039082 | 0.315208 | 4,708 | 178 | 80 | 26.449438 | 0.814826 | 0.512532 | 0 | 0 | 0 | 0 | 0.034948 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.079365 | 0 | 0.349206 | 0.015873 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb5060a785cfcf182925ba2ff985ffd151afd8b7 | 1,598 | py | Python | pr2roc/pr_curve.py | ameya98/roc2pr | ab19d7552e2e9ae32ca00a1be4a17b29a3f915fa | [
"MIT"
] | 1 | 2020-09-08T14:51:48.000Z | 2020-09-08T14:51:48.000Z | pr2roc/pr_curve.py | ameya98/pr2roc | ab19d7552e2e9ae32ca00a1be4a17b29a3f915fa | [
"MIT"
] | null | null | null | pr2roc/pr_curve.py | ameya98/pr2roc | ab19d7552e2e9ae32ca00a1be4a17b29a3f915fa | [
"MIT"
] | null | null | null | from __future__ import division
from .curve import Curve
from numpy import min, max, seterr
seterr(all='raise')
class PRCurve(Curve):
def __init__(self, points, pos_neg_ratio, label=None):
Curve.__init__(self, points, label)
self.pos_neg_ratio = pos_neg_ratio
if max([self.x_vals, self.y_v... | 35.511111 | 110 | 0.615144 | 234 | 1,598 | 3.965812 | 0.25641 | 0.068966 | 0.082974 | 0.070043 | 0.359914 | 0.31681 | 0.278017 | 0.163793 | 0.114224 | 0.114224 | 0 | 0.014821 | 0.282228 | 1,598 | 45 | 111 | 35.511111 | 0.794246 | 0 | 0 | 0 | 0 | 0 | 0.121951 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.117647 | 0.029412 | 0.441176 | 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 |
eb50a4e886b2a04a462c9218f1a0436f4b1e8244 | 3,384 | py | Python | blg604ehw2/utils.py | cbekar/DRL_HW2 | 5ecb12ee1d5d545d5059afb4cf578881acb1f00e | [
"MIT"
] | null | null | null | blg604ehw2/utils.py | cbekar/DRL_HW2 | 5ecb12ee1d5d545d5059afb4cf578881acb1f00e | [
"MIT"
] | null | null | null | blg604ehw2/utils.py | cbekar/DRL_HW2 | 5ecb12ee1d5d545d5059afb4cf578881acb1f00e | [
"MIT"
] | null | null | null | """ Utilities for homework 2.
Function "log_progress" is adapted from:
https://github.com/kuk/log-progress
"""
import matplotlib.pyplot as plt
import numpy as np
import torch
from ipywidgets import IntProgress, HTML, VBox
from IPython.display import display
from blg604ehw2.atari_wrapper import LazyFrames
de... | 31.333333 | 76 | 0.589835 | 432 | 3,384 | 4.520833 | 0.31713 | 0.021505 | 0.03277 | 0.034818 | 0.138249 | 0.138249 | 0.108551 | 0.079877 | 0.079877 | 0.079877 | 0 | 0.012283 | 0.302305 | 3,384 | 107 | 77 | 31.626168 | 0.814909 | 0.204787 | 0 | 0.142857 | 0 | 0 | 0.037265 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0 | 0.085714 | 0 | 0.271429 | 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 |
eb51d6d53256cba70fc82a414f813c5e24351542 | 2,189 | py | Python | proposals/management/commands/get_statistics.py | UiL-OTS-labs/etcl | a22df7ff78620b704a500354fb218fbe9bcabf5f | [
"MIT"
] | 2 | 2017-04-22T11:07:13.000Z | 2018-03-02T12:23:24.000Z | proposals/management/commands/get_statistics.py | UiL-OTS-labs/etcl | a22df7ff78620b704a500354fb218fbe9bcabf5f | [
"MIT"
] | 6 | 2017-07-24T09:59:13.000Z | 2019-04-01T15:15:57.000Z | proposals/management/commands/get_statistics.py | UiL-OTS-labs/etcl | a22df7ff78620b704a500354fb218fbe9bcabf5f | [
"MIT"
] | null | null | null | from django.contrib.auth.models import Group
from django.core.management.base import BaseCommand
from django.conf import settings
from django.views.i18n import set_language
from proposals.utils.statistics_utils import get_average_turnaround_time, \
get_qs_for_long_route_reviews, get_qs_for_short_route_reviews, \
... | 33.166667 | 77 | 0.600731 | 240 | 2,189 | 5.1125 | 0.295833 | 0.04075 | 0.05868 | 0.0489 | 0.394458 | 0.275469 | 0.169519 | 0.169519 | 0.07824 | 0.07824 | 0 | 0.001338 | 0.31704 | 2,189 | 66 | 78 | 33.166667 | 0.819398 | 0 | 0 | 0.236364 | 0 | 0 | 0.081279 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036364 | false | 0 | 0.090909 | 0 | 0.163636 | 0.218182 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb51ff6b9107cee84e763a4b3d50eade4083e26c | 4,299 | py | Python | src/latest.py | rharish101/dilbert-viewer-py | 07492822b74e5b9242f47bdf756e147bf792e5c8 | [
"MIT"
] | 5 | 2018-12-08T12:06:29.000Z | 2022-01-23T14:25:51.000Z | src/latest.py | rharish101/dilbert-viewer-py | 07492822b74e5b9242f47bdf756e147bf792e5c8 | [
"MIT"
] | 3 | 2021-11-01T18:19:11.000Z | 2021-11-01T18:23:08.000Z | src/latest.py | rharish101/dilbert-viewer-py | 07492822b74e5b9242f47bdf756e147bf792e5c8 | [
"MIT"
] | 1 | 2020-05-16T19:16:00.000Z | 2020-05-16T19:16:00.000Z | """Scraper to get info on the latest Dilbert comic."""
from datetime import timedelta
from typing import Optional
from constants import LATEST_DATE_REFRESH, SRC_PREFIX
from scraper import Scraper, ScrapingException
from utils import curr_date, date_to_str, str_to_date
class LatestDateScraper(Scraper[str, None]):
... | 37.060345 | 79 | 0.586183 | 564 | 4,299 | 4.374113 | 0.315603 | 0.08107 | 0.042156 | 0.015809 | 0.107013 | 0.067288 | 0.036482 | 0 | 0 | 0 | 0 | 0.003481 | 0.331705 | 4,299 | 115 | 80 | 37.382609 | 0.855204 | 0.237497 | 0 | 0.116667 | 0 | 0 | 0.14966 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.166667 | 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 |
eb53bbfae8b29bdd3c9940753f30c643697fe9d2 | 742 | py | Python | tests/use_cases/test_fetch_playlists.py | eeng/montag | 8362c4bc6621e23d3b9b43990f9cf28a9e1c1c8a | [
"MIT"
] | null | null | null | tests/use_cases/test_fetch_playlists.py | eeng/montag | 8362c4bc6621e23d3b9b43990f9cf28a9e1c1c8a | [
"MIT"
] | null | null | null | tests/use_cases/test_fetch_playlists.py | eeng/montag | 8362c4bc6621e23d3b9b43990f9cf28a9e1c1c8a | [
"MIT"
] | null | null | null | from montag.domain.entities import Provider
from montag.use_cases.fetch_playlists import FetchPlaylists
from montag.use_cases.support import Failure, Success
from tests import factory
def test_fetch_playlists(repos, spotify_repo):
expected_playlists = factory.playlists(2)
spotify_repo.find_playlists.return_va... | 32.26087 | 68 | 0.801887 | 90 | 742 | 6.377778 | 0.433333 | 0.076655 | 0.045296 | 0.062718 | 0.219512 | 0.219512 | 0.219512 | 0.219512 | 0 | 0 | 0 | 0.001538 | 0.123989 | 742 | 22 | 69 | 33.727273 | 0.881538 | 0 | 0 | 0.142857 | 0 | 0 | 0.032345 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb598dc417f9c3b646b630ac18fa21625cf00654 | 443 | py | Python | forest_calculations.py | mpolinski/python-forest | 859238ab6a2e05e3479eda5d131f59b26a1f1a22 | [
"MIT"
] | null | null | null | forest_calculations.py | mpolinski/python-forest | 859238ab6a2e05e3479eda5d131f59b26a1f1a22 | [
"MIT"
] | null | null | null | forest_calculations.py | mpolinski/python-forest | 859238ab6a2e05e3479eda5d131f59b26a1f1a22 | [
"MIT"
] | null | null | null | from forest_constants import (LEAFY, CONIFEROUS)
def get_forest_dimensions(forest):
rows_num = len(forest)
cols_num = 0
if rows_num:
cols_num = len(forest[0])
return rows_num, cols_num
def get_tree_counts(forest):
leafy_count = 0
coniferous_count = 0
for row in forest:
l... | 21.095238 | 49 | 0.688488 | 61 | 443 | 4.721311 | 0.360656 | 0.072917 | 0.083333 | 0.097222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011799 | 0.234763 | 443 | 20 | 50 | 22.15 | 0.837758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb5c1e3cdc51524fbf91bb29a9b75350d7e28939 | 13,580 | py | Python | tests/test_locators.py | msabramo/distlib | 8c201484821e7cdfd52c560eac98b45439402f39 | [
"PSF-2.0"
] | null | null | null | tests/test_locators.py | msabramo/distlib | 8c201484821e7cdfd52c560eac98b45439402f39 | [
"PSF-2.0"
] | null | null | null | tests/test_locators.py | msabramo/distlib | 8c201484821e7cdfd52c560eac98b45439402f39 | [
"PSF-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2012-2013 Vinay Sajip.
# Licensed to the Python Software Foundation under a contributor agreement.
# See LICENSE.txt and CONTRIBUTORS.txt.
#
from __future__ import unicode_literals
import os
import sys
from compat import unittest
from distlib.compat import url2pathname, urlpa... | 42.704403 | 82 | 0.583726 | 1,496 | 13,580 | 5.195856 | 0.186497 | 0.07912 | 0.048887 | 0.025473 | 0.554741 | 0.489258 | 0.442429 | 0.397144 | 0.365496 | 0.365496 | 0 | 0.022758 | 0.284904 | 13,580 | 317 | 83 | 42.839117 | 0.777675 | 0.048233 | 0 | 0.490842 | 0 | 0.003663 | 0.15136 | 0.009378 | 0 | 0 | 0 | 0 | 0.278388 | 1 | 0.058608 | false | 0 | 0.029304 | 0 | 0.106227 | 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 |
eb5ccd73b62ac958c2eaef0bb0a5f829cbe6ee69 | 6,946 | py | Python | aws_s3/main.py | mayurdhamecha-crest/ta_cloud_exchange_plugins | 8d64c92909f28bcb2067587ec3361499de5d5723 | [
"BSD-3-Clause"
] | null | null | null | aws_s3/main.py | mayurdhamecha-crest/ta_cloud_exchange_plugins | 8d64c92909f28bcb2067587ec3361499de5d5723 | [
"BSD-3-Clause"
] | null | null | null | aws_s3/main.py | mayurdhamecha-crest/ta_cloud_exchange_plugins | 8d64c92909f28bcb2067587ec3361499de5d5723 | [
"BSD-3-Clause"
] | null | null | null | """AWS S3 Plugin."""
import os
from typing import List
from tempfile import NamedTemporaryFile
from netskope.integrations.cls.plugin_base import (
PluginBase,
ValidationResult,
PushResult,
)
from .utils.aws_s3_validator import (
AWSS3Validator,
)
from .utils.aws_s3_client import AWSS3Client
class AWS... | 36.366492 | 100 | 0.565073 | 692 | 6,946 | 5.562139 | 0.184971 | 0.018187 | 0.031437 | 0.049104 | 0.544817 | 0.482463 | 0.45882 | 0.420889 | 0.398545 | 0.374643 | 0 | 0.004719 | 0.359344 | 6,946 | 190 | 101 | 36.557895 | 0.860225 | 0.081342 | 0 | 0.367742 | 0 | 0 | 0.278892 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019355 | false | 0 | 0.03871 | 0 | 0.135484 | 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 |
eb6026d99e12af7beda1b40e5de9c9f9ef6b3948 | 751 | py | Python | 09 Evaluate the Performance of Machine Learning Algorithms with Resampling/shuffle_split.py | IshmaelAsabere/Machine_Learning-Various-Topics | 2c663ab73e2631522dac0fa1ec49042aa2088da4 | [
"MIT"
] | null | null | null | 09 Evaluate the Performance of Machine Learning Algorithms with Resampling/shuffle_split.py | IshmaelAsabere/Machine_Learning-Various-Topics | 2c663ab73e2631522dac0fa1ec49042aa2088da4 | [
"MIT"
] | null | null | null | 09 Evaluate the Performance of Machine Learning Algorithms with Resampling/shuffle_split.py | IshmaelAsabere/Machine_Learning-Various-Topics | 2c663ab73e2631522dac0fa1ec49042aa2088da4 | [
"MIT"
] | null | null | null | # Evaluate using Shuffle Split Cross Validation
from pandas import read_csv
from sklearn.model_selection import ShuffleSplit
from sklearn.model_selection import cross_val_score
from sklearn.linear_model import LogisticRegression
filename = 'pima-indians-diabetes.data.csv'
names = ['preg', 'plas', 'pres', 'skin', 'test'... | 41.722222 | 80 | 0.747004 | 110 | 751 | 4.954545 | 0.554545 | 0.06055 | 0.058716 | 0.091743 | 0.113761 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028232 | 0.103862 | 751 | 18 | 81 | 41.722222 | 0.781575 | 0.05992 | 0 | 0 | 0 | 0 | 0.141844 | 0.042553 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.235294 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb61d5d7e4bf28a8a1ca4a73ac750956135f0ec5 | 4,178 | py | Python | tests/test_s.py | Tygs/ww | 6a4b85141c9b74026abe8f3fa9bc7021f3c99fd4 | [
"MIT"
] | 15 | 2016-10-15T10:15:08.000Z | 2021-04-06T08:31:02.000Z | tests/test_s.py | Tygs/ww | 6a4b85141c9b74026abe8f3fa9bc7021f3c99fd4 | [
"MIT"
] | 7 | 2016-10-14T08:53:29.000Z | 2016-11-09T23:43:31.000Z | tests/test_s.py | Tygs/ww | 6a4b85141c9b74026abe8f3fa9bc7021f3c99fd4 | [
"MIT"
] | 3 | 2016-10-13T11:44:46.000Z | 2016-10-14T08:58:03.000Z | # coding: utf-8
from __future__ import (
unicode_literals, division, print_function, absolute_import
)
import re
import pytest
from ww import s, g, f
def test_lshift():
res = s >> """
This is a long text
And it's not indented
"""
assert isinstance(res, s)
s == "This is a long text\nA... | 23.60452 | 78 | 0.514361 | 634 | 4,178 | 3.337539 | 0.170347 | 0.026465 | 0.036862 | 0.034026 | 0.444707 | 0.324197 | 0.229679 | 0.190926 | 0.150284 | 0.136106 | 0 | 0.022072 | 0.219244 | 4,178 | 176 | 79 | 23.738636 | 0.626609 | 0.003112 | 0 | 0.09434 | 0 | 0 | 0.160221 | 0 | 0 | 0 | 0 | 0 | 0.396226 | 1 | 0.113208 | false | 0 | 0.04717 | 0.009434 | 0.169811 | 0.009434 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb64352202a6b429c03980e77f840c5767dfc418 | 513 | py | Python | antalla/migrations/versions/bfa53193d3bf_create_exchange_table.py | sambacha/antalla | 241f49058e4295aa9f5bc62efe517388d9256520 | [
"MIT"
] | null | null | null | antalla/migrations/versions/bfa53193d3bf_create_exchange_table.py | sambacha/antalla | 241f49058e4295aa9f5bc62efe517388d9256520 | [
"MIT"
] | null | null | null | antalla/migrations/versions/bfa53193d3bf_create_exchange_table.py | sambacha/antalla | 241f49058e4295aa9f5bc62efe517388d9256520 | [
"MIT"
] | null | null | null | """create exchange table
Revision ID: bfa53193d3bf
Revises: b97a89b20fa2
Create Date: 2019-09-22 01:17:06.735174
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'bfa53193d3bf'
down_revision = 'b97a89b20fa2'
branch_labels = None
depends_on = None
def upgrade()... | 17.689655 | 54 | 0.695906 | 66 | 513 | 5.318182 | 0.666667 | 0.079772 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.110312 | 0.187135 | 513 | 28 | 55 | 18.321429 | 0.731415 | 0.292398 | 0 | 0 | 0 | 0 | 0.135211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb6486b781e8bb7e961d09b57c4d80fc18e300da | 2,831 | py | Python | rpeak_seg_simple_v1.0.py | ziyi-bear/ECG-ML-DL-Algorithm-Python | e1cc28c09fcd9330470b30c240ab7fb331c8ea0c | [
"Apache-2.0"
] | 180 | 2018-05-18T12:18:53.000Z | 2022-03-30T11:02:48.000Z | rpeak_seg_simple_v1.0.py | Aiwiscal/ECG-ML-DL-Algorithm-Python-version | 23b24a965fdede3552d33943a26ad824a8c03325 | [
"Apache-2.0"
] | null | null | null | rpeak_seg_simple_v1.0.py | Aiwiscal/ECG-ML-DL-Algorithm-Python-version | 23b24a965fdede3552d33943a26ad824a8c03325 | [
"Apache-2.0"
] | 61 | 2018-06-08T08:19:34.000Z | 2022-03-18T10:34:02.000Z | #!/usr/bin/python
# -*- coding:utf-8 -*-
import sys
import time
import logging
import numpy as np
from biosppy.signals import ecg
from biosppy.storage import load_txt
import matplotlib.pyplot as plt
logging.basicConfig(level = logging.DEBUG,format = '%(asctime)s - %(name)s - %(levelname)s - %(message)s')
... | 36.766234 | 107 | 0.657718 | 362 | 2,831 | 4.867403 | 0.348066 | 0.093644 | 0.047673 | 0.045403 | 0.239501 | 0.208854 | 0.191827 | 0.114642 | 0.07151 | 0.07151 | 0 | 0.020542 | 0.191805 | 2,831 | 76 | 108 | 37.25 | 0.749563 | 0.106323 | 0 | 0.103448 | 0 | 0 | 0.20221 | 0.052395 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017241 | false | 0 | 0.12069 | 0 | 0.155172 | 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 |
eb68b9676e0d03d63bb33be1aab4650e1c5fefb7 | 3,126 | py | Python | mediaire_toolbox/queue/tasks.py | mediaire/mediaire_toolbox | 292a005247a25eb04eaa34fe5a8155422336d04b | [
"MIT"
] | null | null | null | mediaire_toolbox/queue/tasks.py | mediaire/mediaire_toolbox | 292a005247a25eb04eaa34fe5a8155422336d04b | [
"MIT"
] | 11 | 2019-09-27T15:19:28.000Z | 2022-01-04T13:27:19.000Z | mediaire_toolbox/queue/tasks.py | mediaire/mediaire_toolbox | 292a005247a25eb04eaa34fe5a8155422336d04b | [
"MIT"
] | 3 | 2019-05-07T09:42:56.000Z | 2022-01-27T13:14:59.000Z | import time
import json
from copy import deepcopy
class Task(object):
"""Defines task objects that can be handled by the task manager."""
def __init__(self, t_id=None, user_id=None, product_id=None,
tag=None, data=None,
timestamp=None, update_timestamp=None, error=None):
... | 30.950495 | 78 | 0.570377 | 399 | 3,126 | 4.258145 | 0.22807 | 0.038846 | 0.01648 | 0.012949 | 0.110653 | 0.030606 | 0.030606 | 0 | 0 | 0 | 0 | 0.000953 | 0.328535 | 3,126 | 100 | 79 | 31.26 | 0.80848 | 0.21945 | 0 | 0.079365 | 0 | 0 | 0.059005 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15873 | false | 0 | 0.047619 | 0.079365 | 0.365079 | 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 |
eb69a63e704e44ba8a523693de06b874425f56d2 | 2,791 | py | Python | torch/legacy/nn/Linear.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | 51 | 2020-01-26T23:32:57.000Z | 2022-03-20T14:49:57.000Z | torch/legacy/nn/Linear.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | 2 | 2020-12-19T20:00:28.000Z | 2021-03-03T20:22:45.000Z | torch/legacy/nn/Linear.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | 33 | 2020-02-18T16:15:48.000Z | 2022-03-24T15:12:05.000Z | import math
import torch
from .Module import Module
from .utils import clear
class Linear(Module):
def __init__(self, inputSize, outputSize, bias=True):
super(Linear, self).__init__()
self.weight = torch.Tensor(outputSize, inputSize)
self.gradWeight = torch.Tensor(outputSize, inputSize)
... | 31.715909 | 118 | 0.607668 | 337 | 2,791 | 4.934718 | 0.216617 | 0.032471 | 0.050511 | 0.028864 | 0.179796 | 0.116055 | 0.074564 | 0.046903 | 0 | 0 | 0 | 0.008462 | 0.280186 | 2,791 | 87 | 119 | 32.08046 | 0.819313 | 0.037263 | 0 | 0.179104 | 0 | 0 | 0.011918 | 0 | 0 | 0 | 0 | 0 | 0.044776 | 1 | 0.134328 | false | 0 | 0.059701 | 0.014925 | 0.313433 | 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 |
eb6c5cabf7aff4e46d0f69f924e5ecdb4193cfdc | 2,349 | py | Python | tables_io/testUtils.py | LSSTDESC/tables_io | 1c2f119c928d05d237b1c8509e340d29650ceb8b | [
"MIT"
] | 1 | 2021-08-13T15:41:58.000Z | 2021-08-13T15:41:58.000Z | tables_io/testUtils.py | LSSTDESC/tables_io | 1c2f119c928d05d237b1c8509e340d29650ceb8b | [
"MIT"
] | 18 | 2021-08-12T00:09:36.000Z | 2022-02-24T21:11:18.000Z | tables_io/testUtils.py | LSSTDESC/tables_io | 1c2f119c928d05d237b1c8509e340d29650ceb8b | [
"MIT"
] | null | null | null | """
Utilities for testing
"""
import numpy as np
from astropy.table import Table as apTable
from astropy.utils.diff import report_diff_values
def compare_tables(t1, t2):
""" Compare all the tables in two `astropy.table.Table`)
Parameters
----------
t1 : `astropy.table.Table`
One table
t2 ... | 27.964286 | 93 | 0.61175 | 315 | 2,349 | 4.495238 | 0.342857 | 0.059322 | 0.072034 | 0.055085 | 0.305085 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0.020127 | 0.259685 | 2,349 | 83 | 94 | 28.301205 | 0.794135 | 0.355045 | 0 | 0.05 | 0 | 0 | 0.005785 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.075 | 0 | 0.275 | 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 |
eb6e417ff1d33694d2432e18852dc6a0bbbf5837 | 746 | py | Python | tests/inheritance/test_constructor.py | sco1/pylox | b4820828306c20cee3f8533c2547fafb92c6c1bd | [
"MIT"
] | 2 | 2021-12-18T01:52:50.000Z | 2022-01-17T19:41:52.000Z | tests/inheritance/test_constructor.py | sco1/pylox | b4820828306c20cee3f8533c2547fafb92c6c1bd | [
"MIT"
] | 18 | 2021-11-30T04:05:53.000Z | 2022-02-01T03:30:04.000Z | tests/inheritance/test_constructor.py | sco1/pylox | b4820828306c20cee3f8533c2547fafb92c6c1bd | [
"MIT"
] | null | null | null | from textwrap import dedent
import pytest
from pylox.lox import Lox
# Base cases from https://github.com/munificent/craftinginterpreters/blob/master/test/inheritance/constructor.lox
TEST_SRC = dedent(
"""\
class A {
init(param) {
this.field = param;
}
test() {
print this.fi... | 19.128205 | 113 | 0.648794 | 88 | 746 | 5.386364 | 0.545455 | 0.029536 | 0.084388 | 0.097046 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.237265 | 746 | 38 | 114 | 19.631579 | 0.83304 | 0.148794 | 0 | 0 | 0 | 0 | 0.011933 | 0 | 0 | 0 | 0 | 0 | 0.230769 | 1 | 0.076923 | false | 0 | 0.230769 | 0 | 0.307692 | 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 |
eb71982888d5f8510697907e9a0d0ca96fdd5ff9 | 1,196 | py | Python | dugaire/util.py | tadeugr/dugaire | 63e4964ed4b5016e9eb996612138c43fbcb81b53 | [
"Apache-2.0"
] | 4 | 2020-11-19T12:17:10.000Z | 2020-12-15T19:34:04.000Z | dugaire/util.py | tadeugr/dugaire | 63e4964ed4b5016e9eb996612138c43fbcb81b53 | [
"Apache-2.0"
] | 1 | 2020-11-26T01:25:28.000Z | 2020-11-26T01:25:28.000Z | dugaire/util.py | tadeugr/dugaire | 63e4964ed4b5016e9eb996612138c43fbcb81b53 | [
"Apache-2.0"
] | 1 | 2020-11-19T21:18:43.000Z | 2020-11-19T21:18:43.000Z | #!/usr/bin/env python3
""" Import comunity modules. """
import os
import sys
import jinja2
import re
HERE = os.path.dirname(os.path.realpath(__file__))
sys.path.insert(0, f"{HERE}")
def string_is_latest_or_version(check_string):
prog = re.compile("^(\d+\.)?(\d+\.)?(\*|\d+)$")
result = prog.match(check_stri... | 26 | 67 | 0.705686 | 152 | 1,196 | 5.296053 | 0.421053 | 0.163975 | 0.074534 | 0.081988 | 0.171429 | 0.171429 | 0.171429 | 0.171429 | 0.114286 | 0 | 0 | 0.005025 | 0.16806 | 1,196 | 45 | 68 | 26.577778 | 0.80402 | 0.114548 | 0 | 0 | 0 | 0 | 0.169231 | 0.105769 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.153846 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb736abfcc0d07e773852cad1abeb9d44fd78b29 | 2,770 | py | Python | ipaymu/tests.py | ekaputra07/django-ipaymu | 7ea946eaeba720a002d20ad5579575951a979347 | [
"BSD-3-Clause"
] | 2 | 2018-11-14T16:25:01.000Z | 2019-03-22T08:18:43.000Z | ipaymu/tests.py | ekaputra07/django-ipaymu | 7ea946eaeba720a002d20ad5579575951a979347 | [
"BSD-3-Clause"
] | 1 | 2018-10-31T08:44:10.000Z | 2018-11-03T08:37:35.000Z | ipaymu/tests.py | ekaputra07/django-ipaymu | 7ea946eaeba720a002d20ad5579575951a979347 | [
"BSD-3-Clause"
] | 1 | 2018-10-16T09:18:20.000Z | 2018-10-16T09:18:20.000Z | from django.test import TestCase
from django.test.client import Client
from django.core.urlresolvers import reverse
from ipaymu.forms import IpaymuForm
from ipaymu.models import IpaymuSessionID
from ipaymu.utils import save_session, verify_session, IpaymuParamsBuilder
class IpaymuTest(TestCase):
fixtures = ['ip... | 33.373494 | 157 | 0.642599 | 308 | 2,770 | 5.655844 | 0.292208 | 0.120551 | 0.10907 | 0.100459 | 0.323192 | 0.306544 | 0.299082 | 0.265786 | 0.172216 | 0.172216 | 0 | 0.055474 | 0.258123 | 2,770 | 82 | 158 | 33.780488 | 0.792214 | 0.191336 | 0 | 0.186047 | 0 | 0 | 0.145066 | 0.088222 | 0 | 0 | 0 | 0 | 0.325581 | 1 | 0.093023 | false | 0 | 0.139535 | 0 | 0.27907 | 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 |
eb772658ca94856431b34ba889686158bd95aa78 | 1,884 | py | Python | qcdb/tests/nwchem_tests/test_tce_ccsd_pr_br_t.py | loriab/qccddb | d9e156ef8b313ac0633211fc6b841f84a3ddde24 | [
"BSD-3-Clause"
] | 8 | 2019-03-28T11:54:59.000Z | 2022-03-19T03:31:37.000Z | qcdb/tests/nwchem_tests/test_tce_ccsd_pr_br_t.py | loriab/qccddb | d9e156ef8b313ac0633211fc6b841f84a3ddde24 | [
"BSD-3-Clause"
] | 39 | 2018-10-31T23:02:18.000Z | 2021-12-12T22:11:37.000Z | qcdb/tests/nwchem_tests/test_tce_ccsd_pr_br_t.py | loriab/qccddb | d9e156ef8b313ac0633211fc6b841f84a3ddde24 | [
"BSD-3-Clause"
] | 9 | 2018-03-12T20:51:50.000Z | 2022-02-28T15:18:34.000Z | # TCE CCSD(T) and CCSD[T] calculations
import os
import sys
import qcdb
from ..utils import *
def check_ccsd_t_pr_br(return_value):
ccsd_tot = -76.240077811301250
ccsd_corl = -0.213269954065481
t_br_corr = -0.003139909173705
t_br_corl = -0.216409863239186
ccsd_t_br = -76.243217720474960
t_pr... | 34.254545 | 105 | 0.638004 | 267 | 1,884 | 4.243446 | 0.269663 | 0.083848 | 0.134157 | 0.0812 | 0.435128 | 0.213592 | 0.213592 | 0.164166 | 0.164166 | 0.090026 | 0 | 0.15931 | 0.230361 | 1,884 | 54 | 106 | 34.888889 | 0.622069 | 0.019108 | 0 | 0 | 0 | 0 | 0.250905 | 0 | 0 | 0 | 0 | 0 | 0.205128 | 1 | 0.051282 | false | 0 | 0.102564 | 0 | 0.153846 | 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 |
eb7c5cbf4a4be6c62f0ee77abad0dd0ba1cedf55 | 6,246 | py | Python | autoload/squeeze.py | sangjinhan/squeeze | 0c1721724d181f146c4829afb58e78a596e38cb5 | [
"BSD-3-Clause"
] | 1 | 2018-07-08T10:39:51.000Z | 2018-07-08T10:39:51.000Z | autoload/squeeze.py | sangjinhan/squeeze | 0c1721724d181f146c4829afb58e78a596e38cb5 | [
"BSD-3-Clause"
] | null | null | null | autoload/squeeze.py | sangjinhan/squeeze | 0c1721724d181f146c4829afb58e78a596e38cb5 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import time
import multiprocessing
import os
import vim
from async_worker import AsyncWorker
import utils
# Global map for host (source code) window ID -> Squeezer instance
squeezers = {}
# set of Squeezer instances that are waiting for updates
polling_squeezers = set()
def create_window(b... | 30.468293 | 75 | 0.590618 | 749 | 6,246 | 4.727637 | 0.221629 | 0.049703 | 0.044055 | 0.026829 | 0.310929 | 0.255578 | 0.208698 | 0.158147 | 0.137249 | 0.137249 | 0 | 0.00249 | 0.292667 | 6,246 | 204 | 76 | 30.617647 | 0.799004 | 0.06244 | 0 | 0.241135 | 0 | 0 | 0.147597 | 0.014195 | 0 | 0 | 0 | 0 | 0 | 1 | 0.099291 | false | 0 | 0.042553 | 0 | 0.177305 | 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 |
eb823a3ab1cfe40fa4039cd8121d4b7741953f43 | 14,233 | py | Python | sirius-pipeline/SAI/sai_api_gen.py | mmiele/DASH | 30c65abc597b74a5794f9cc8f287f0febebc820c | [
"Apache-2.0"
] | 18 | 2021-09-22T04:50:09.000Z | 2022-03-26T03:54:26.000Z | sirius-pipeline/SAI/sai_api_gen.py | mmiele/DASH | 30c65abc597b74a5794f9cc8f287f0febebc820c | [
"Apache-2.0"
] | 62 | 2021-11-12T21:25:10.000Z | 2022-03-31T22:41:17.000Z | sirius-pipeline/SAI/sai_api_gen.py | mmiele/DASH | 30c65abc597b74a5794f9cc8f287f0febebc820c | [
"Apache-2.0"
] | 19 | 2021-09-22T22:05:59.000Z | 2022-03-29T04:37:54.000Z | #!/usr/bin/env python3
try:
import os
import json
import argparse
import shutil
from git import Repo
from jinja2 import Template, Environment, FileSystemLoader
except ImportError as ie:
print("Import failed for " + ie.name)
exit(1)
NAME_TAG = 'name'
TABLES_TAG = 'tables'
BITWIDTH_TAG =... | 38.158177 | 140 | 0.644488 | 2,047 | 14,233 | 4.16512 | 0.127504 | 0.032841 | 0.032372 | 0.019939 | 0.52076 | 0.438658 | 0.350575 | 0.317969 | 0.297443 | 0.292048 | 0 | 0.010457 | 0.227359 | 14,233 | 372 | 141 | 38.260753 | 0.764845 | 0.021078 | 0 | 0.271186 | 0 | 0 | 0.202069 | 0.036923 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037288 | false | 0 | 0.027119 | 0 | 0.155932 | 0.030508 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb87aab9a356ed1a7a06480dce0810bf77f27d97 | 1,658 | py | Python | cytoscapeMaker.py | admar505/python-tools | 743c0e41e6700efa3817fdb09c451f8fffccd1b3 | [
"Apache-2.0"
] | null | null | null | cytoscapeMaker.py | admar505/python-tools | 743c0e41e6700efa3817fdb09c451f8fffccd1b3 | [
"Apache-2.0"
] | null | null | null | cytoscapeMaker.py | admar505/python-tools | 743c0e41e6700efa3817fdb09c451f8fffccd1b3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import sys,os,re,fileinput,argparse
import csv
import random
parser = argparse.ArgumentParser(description="takes a file of CYC data, and produces pairwise info for cytoscape network viewing" )
parser.add_argument("--fi",help="the file, must be headered as \"Pathway-id Pathway-name Gene-id Gene-nam... | 23.027778 | 131 | 0.575392 | 211 | 1,658 | 4.483412 | 0.50237 | 0.044397 | 0.019027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002257 | 0.198432 | 1,658 | 71 | 132 | 23.352113 | 0.709556 | 0.199035 | 0 | 0 | 0 | 0.034483 | 0.195103 | 0.052028 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.103448 | 0 | 0.137931 | 0.068966 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb893239a685151332f8c8b4695d9a76a757792e | 1,402 | py | Python | algo/searching_and_sorting/binary_search.py | avi3tal/knowledgebase | fd30805aa94332a6c14c9d8631c7044673fb3e2c | [
"MIT"
] | null | null | null | algo/searching_and_sorting/binary_search.py | avi3tal/knowledgebase | fd30805aa94332a6c14c9d8631c7044673fb3e2c | [
"MIT"
] | null | null | null | algo/searching_and_sorting/binary_search.py | avi3tal/knowledgebase | fd30805aa94332a6c14c9d8631c7044673fb3e2c | [
"MIT"
] | 1 | 2021-11-19T13:45:59.000Z | 2021-11-19T13:45:59.000Z |
def binary_search(search_num, sorted_arr):
"""
https://runestone.academy/runestone/books/published/pythonds/SortSearch/TheBinarySearch.html
First Q at https://dev.to/javinpaul/20-basic-algorithms-problems-from-coding-interviews-4o76
"""
if sorted_arr[0] == search_num:
return True
arr_l... | 26.45283 | 96 | 0.617689 | 192 | 1,402 | 4.239583 | 0.322917 | 0.143735 | 0.092138 | 0.088452 | 0.291155 | 0.291155 | 0.154791 | 0.154791 | 0.154791 | 0.154791 | 0 | 0.030632 | 0.278174 | 1,402 | 52 | 97 | 26.961538 | 0.773715 | 0.131954 | 0 | 0.147059 | 0 | 0 | 0.0067 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0 | 0 | 0.264706 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb89523d17723f3e6a6db454cea7c75b5abcf4eb | 3,292 | py | Python | axelrod/tests/test_resultset.py | DumisaniZA/Axelrod | e59fc40ebb705afe05cea6f30e282d1e9c621259 | [
"MIT"
] | 33 | 2015-02-20T11:36:48.000Z | 2022-02-16T17:02:06.000Z | axelrod/tests/test_resultset.py | DumisaniZA/Axelrod | e59fc40ebb705afe05cea6f30e282d1e9c621259 | [
"MIT"
] | 108 | 2015-02-18T14:15:44.000Z | 2020-05-08T10:39:58.000Z | axelrod/tests/test_resultset.py | DumisaniZA/Axelrod | e59fc40ebb705afe05cea6f30e282d1e9c621259 | [
"MIT"
] | 41 | 2015-02-18T13:40:04.000Z | 2021-05-31T06:08:10.000Z | import unittest
import axelrod
class TestResultSet(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.players = ('Player1', 'Player2', 'Player3')
cls.test_results = [
[[0, 0], [10, 10], [21, 21]],
[[10, 8], [0, 0], [16, 20]],
[[16, 16], [16, 16], [0... | 36.577778 | 89 | 0.59599 | 433 | 3,292 | 4.399538 | 0.152425 | 0.022047 | 0.103937 | 0.014698 | 0.349081 | 0.286089 | 0.234646 | 0.234646 | 0.166404 | 0.146982 | 0 | 0.063715 | 0.265796 | 3,292 | 89 | 90 | 36.988764 | 0.724452 | 0 | 0 | 0.230769 | 0 | 0.012821 | 0.02825 | 0.015492 | 0 | 0 | 0 | 0 | 0.230769 | 1 | 0.102564 | false | 0 | 0.025641 | 0 | 0.141026 | 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 |
eb89728654ff6fe0b167e3b43a91c36391a5c80e | 814 | py | Python | sparse_arrays.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | sparse_arrays.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | sparse_arrays.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | #There is a collection of
#input strings and a collection of query strings. For each query string, determine how many times it occurs in the list of input strings
def f():
strings = ['aba', 'baba', 'aba', 'xzxb']
queries = ['aba', 'xzxb', 'ab']
res = []
'''
for q in queries:
tota... | 20.35 | 136 | 0.503686 | 105 | 814 | 3.904762 | 0.419048 | 0.029268 | 0.043902 | 0.095122 | 0.287805 | 0.287805 | 0.287805 | 0.287805 | 0.287805 | 0.287805 | 0 | 0.01002 | 0.386978 | 814 | 39 | 137 | 20.871795 | 0.811623 | 0.211302 | 0 | 0.333333 | 0 | 0 | 0.048729 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.222222 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb8c05f5a993f660ca7de8d026f690e8d7461195 | 4,658 | py | Python | reactapp/FlowerBackend/strategies/FedOpt.py | ImperialAI-Blockchain-Team/group-project-decentralised | 27b4242aa850c5c32d3bdbe6e4c9e3e3c226e7d3 | [
"Apache-2.0"
] | 1 | 2022-01-03T15:15:58.000Z | 2022-01-03T15:15:58.000Z | reactapp/FlowerBackend/strategies/FedOpt.py | ImperialAI-Blockchain-Team/group-project-decentralised | 27b4242aa850c5c32d3bdbe6e4c9e3e3c226e7d3 | [
"Apache-2.0"
] | null | null | null | reactapp/FlowerBackend/strategies/FedOpt.py | ImperialAI-Blockchain-Team/group-project-decentralised | 27b4242aa850c5c32d3bdbe6e4c9e3e3c226e7d3 | [
"Apache-2.0"
] | null | null | null | '''Ref: https://arxiv.org/pdf/2003.00295.pdf'''
from typing import Callable, Dict, List, Optional, Tuple
import numpy as np
from flwr.common import (
EvaluateIns,
EvaluateRes,
FitIns,
FitRes,
Weights,
parameters_to_weights,
weights_to_parameters,
)
from flwr.server.strategy.aggregate imp... | 34 | 160 | 0.607342 | 578 | 4,658 | 4.633218 | 0.262976 | 0.072816 | 0.024645 | 0.016804 | 0.271098 | 0.230022 | 0.126214 | 0.121733 | 0.121733 | 0.121733 | 0 | 0.010375 | 0.296479 | 4,658 | 137 | 161 | 34 | 0.806836 | 0.009017 | 0 | 0.090909 | 0 | 0 | 0.036435 | 0.009976 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024793 | false | 0 | 0.066116 | 0 | 0.140496 | 0.008264 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb8d0654d1d205d5f73cc68270c3fb56a4a831b9 | 786 | py | Python | setup.py | alekordESA/package-template | c95a64bf125d41f1bcfd50494dbd0daeb0b27fca | [
"MIT"
] | null | null | null | setup.py | alekordESA/package-template | c95a64bf125d41f1bcfd50494dbd0daeb0b27fca | [
"MIT"
] | null | null | null | setup.py | alekordESA/package-template | c95a64bf125d41f1bcfd50494dbd0daeb0b27fca | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
long_description = """
Short description...
"""
setuptools.setup(
name='test_package_kthdesa',
version='1.0.0',
author='Alexandros Korkovelos',
author_email='alekor@desa.kth.se',
description='This is a test pack... | 27.103448 | 75 | 0.651399 | 90 | 786 | 5.544444 | 0.744444 | 0.150301 | 0.072144 | 0.12024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020701 | 0.201018 | 786 | 29 | 76 | 27.103448 | 0.773885 | 0 | 0 | 0.076923 | 0 | 0 | 0.45108 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038462 | 0 | 0.038462 | 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 |
eb8d74b25be29cc19bd8b5df08384b2634717dc4 | 5,801 | py | Python | gan/Generator.py | leogeier/dl-2020-prog-gan | 12f28353548188af31cc14ee18a5444ad3d95a0c | [
"MIT"
] | null | null | null | gan/Generator.py | leogeier/dl-2020-prog-gan | 12f28353548188af31cc14ee18a5444ad3d95a0c | [
"MIT"
] | null | null | null | gan/Generator.py | leogeier/dl-2020-prog-gan | 12f28353548188af31cc14ee18a5444ad3d95a0c | [
"MIT"
] | null | null | null | import torch
from torch.nn import LeakyReLU
from torch.nn.functional import interpolate
from gan.EqualizedLayers import EqualizedConv2d, EqualizedDeconv2d
class PixelwiseNormalization(torch.nn.Module):
"""
Normalize feature vectors per pixel as suggested in section 4.2 of
https://research.nvidia.com/site... | 37.185897 | 119 | 0.651957 | 758 | 5,801 | 4.808707 | 0.221636 | 0.071331 | 0.030727 | 0.016461 | 0.371468 | 0.301783 | 0.248011 | 0.173114 | 0.173114 | 0.153361 | 0 | 0.02139 | 0.258576 | 5,801 | 155 | 120 | 37.425806 | 0.826087 | 0.3608 | 0 | 0.092308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.138462 | false | 0 | 0.061538 | 0.015385 | 0.353846 | 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 |
eb9292b5b15148056f496da1f3e38d544c9ca3dc | 846 | py | Python | Active-Contour-Loss.py | xuuuuuuchen/Active-Contour-Loss | f76737b92a2bea558f5a960bb1ef00bbe09b8457 | [
"MIT"
] | 189 | 2019-06-11T02:13:53.000Z | 2022-03-30T15:41:47.000Z | Active-Contour-Loss.py | xuuuuuuchen/Active-Contour-Loss | f76737b92a2bea558f5a960bb1ef00bbe09b8457 | [
"MIT"
] | 15 | 2019-06-29T19:22:07.000Z | 2021-07-19T03:26:51.000Z | Active-Contour-Loss.py | xuuuuuuchen/Active-Contour-Loss | f76737b92a2bea558f5a960bb1ef00bbe09b8457 | [
"MIT"
] | 28 | 2019-07-15T12:52:52.000Z | 2022-03-07T16:50:02.000Z |
from keras import backend as K
import numpy as np
def Active_Contour_Loss(y_true, y_pred):
"""
lenth term
"""
x = y_pred[:,:,1:,:] - y_pred[:,:,:-1,:] # horizontal and vertical directions
y = y_pred[:,:,:,1:] - y_pred[:,:,:,:-1]
delta_x = x[:,:,1:,:-2]**2
delta_y = y[:,:,:-2,1:]**2
delta_u = K.abs(delta... | 24.171429 | 105 | 0.574468 | 149 | 846 | 3.087248 | 0.342282 | 0.076087 | 0.052174 | 0.030435 | 0.178261 | 0.178261 | 0.056522 | 0 | 0 | 0 | 0 | 0.072674 | 0.186761 | 846 | 34 | 106 | 24.882353 | 0.59593 | 0.211584 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 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 |
eb9398224cfe1d36acebb90ab93ee6b57c3b5626 | 7,584 | py | Python | edbo/objective.py | v13inc/edbo | dee72777a07594f7940bd03f0049a7d9be7c2266 | [
"MIT"
] | 70 | 2020-12-11T03:13:09.000Z | 2022-03-16T21:17:26.000Z | edbo/objective.py | v13inc/edbo | dee72777a07594f7940bd03f0049a7d9be7c2266 | [
"MIT"
] | 8 | 2021-01-15T14:24:00.000Z | 2022-01-16T14:43:52.000Z | edbo/objective.py | v13inc/edbo | dee72777a07594f7940bd03f0049a7d9be7c2266 | [
"MIT"
] | 18 | 2020-11-24T00:37:49.000Z | 2022-03-13T15:52:51.000Z | # -*- coding: utf-8 -*-
# Imports
import pandas as pd
from .pd_utils import load_csv_or_excel
from .pd_utils import load_experiment_results
from .pd_utils import to_torch
from .math_utils import standard
# Objective function class
class objective:
"""Objective funciton data container and operations.
N... | 33.706667 | 86 | 0.548655 | 793 | 7,584 | 5.147541 | 0.190416 | 0.080843 | 0.040421 | 0.036012 | 0.323126 | 0.259922 | 0.217785 | 0.212396 | 0.212396 | 0.198432 | 0 | 0.004788 | 0.366561 | 7,584 | 225 | 87 | 33.706667 | 0.844921 | 0.2827 | 0 | 0.252747 | 0 | 0 | 0.010759 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043956 | false | 0 | 0.054945 | 0 | 0.153846 | 0.010989 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb951abd2dd3908e69458a1b26cb28c1b3944745 | 664 | py | Python | p002/solution.py | jcbrockschmidt/project_euler | 49576d24f485eea1a21c8111e006a5c9ba1701d7 | [
"MIT"
] | null | null | null | p002/solution.py | jcbrockschmidt/project_euler | 49576d24f485eea1a21c8111e006a5c9ba1701d7 | [
"MIT"
] | null | null | null | p002/solution.py | jcbrockschmidt/project_euler | 49576d24f485eea1a21c8111e006a5c9ba1701d7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from time import time
def fib_sum(limit):
prev2 = 1
prev1 = 2
fib_sum = 0
while prev2 < limit:
# There is probably a more clever solution that skips the calculation
# of every 1st and 3rd element.
# For now, we will just cherry-pick the even values.
... | 25.538462 | 77 | 0.593373 | 92 | 664 | 4.119565 | 0.630435 | 0.079156 | 0.079156 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05 | 0.307229 | 664 | 25 | 78 | 26.56 | 0.773913 | 0.256024 | 0 | 0 | 0 | 0 | 0.091837 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.166667 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb9525194e5e12addc0e82651317e86bd9db3fd2 | 15,221 | py | Python | source/Gui.py | Faraphel/MKWF-Install | 8a86cae630da6702bf65b15340dc2db3e0abc182 | [
"Apache-2.0"
] | 1 | 2022-03-01T10:59:11.000Z | 2022-03-01T10:59:11.000Z | source/Gui.py | Faraphel/MKWF-Install | 8a86cae630da6702bf65b15340dc2db3e0abc182 | [
"Apache-2.0"
] | null | null | null | source/Gui.py | Faraphel/MKWF-Install | 8a86cae630da6702bf65b15340dc2db3e0abc182 | [
"Apache-2.0"
] | 3 | 2021-06-15T17:23:36.000Z | 2021-07-07T11:45:46.000Z | from tkinter import filedialog, ttk, messagebox
from tkinter import *
import traceback
import requests
import zipfile
import json
import os
from source.Game import Game, RomAlreadyPatched, InvalidGamePath, InvalidFormat, in_thread, VERSION_FILE_URL
from source.Option import Option
from source.definition import get_ver... | 52.66782 | 245 | 0.648183 | 1,856 | 15,221 | 5.132004 | 0.167026 | 0.036115 | 0.028346 | 0.024147 | 0.335118 | 0.263937 | 0.147192 | 0.110341 | 0.074961 | 0.039685 | 0 | 0.005267 | 0.239143 | 15,221 | 288 | 246 | 52.850694 | 0.817201 | 0.062545 | 0 | 0.046512 | 0 | 0 | 0.115549 | 0.020433 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.046512 | 0 | 0.106977 | 0.018605 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb974878838a569a2d9cf63b612ccad301b890eb | 1,612 | py | Python | titledb/update_db.py | EMUGamesDevTeam/TitleDB | 4d13cce0f5e9d547316aba951301f001ca3b2c2c | [
"Unlicense"
] | 1 | 2020-07-13T19:20:45.000Z | 2020-07-13T19:20:45.000Z | titledb/update_db.py | EMUGamesDevTeam/TitleDB | 4d13cce0f5e9d547316aba951301f001ca3b2c2c | [
"Unlicense"
] | null | null | null | titledb/update_db.py | EMUGamesDevTeam/TitleDB | 4d13cce0f5e9d547316aba951301f001ca3b2c2c | [
"Unlicense"
] | null | null | null | import os, sys, re, transaction, base64, zlib
from sqlalchemy import engine_from_config
from pyramid.paster import (
get_appsettings,
setup_logging,
)
from .models import (
DBSession,
CIA,
Entry,
User,
Group,
Base,
)
from .security import hash_password
def usage(argv):
cmd = os.... | 26 | 103 | 0.581266 | 199 | 1,612 | 4.592965 | 0.38191 | 0.053611 | 0.035011 | 0.054705 | 0.109409 | 0.109409 | 0.109409 | 0.109409 | 0.109409 | 0.109409 | 0 | 0.031943 | 0.300868 | 1,612 | 61 | 104 | 26.42623 | 0.779059 | 0 | 0 | 0.16 | 0 | 0 | 0.046555 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0.02 | 0.1 | 0 | 0.14 | 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 |
eb9805e46c99a38df84681449ccdcec4ab9e7a42 | 3,297 | py | Python | src/modeling/models_cv.py | sebasjp/octopus-ml | c8f650cf9487a82d6b71a5d5bada12c5c42ab954 | [
"MIT"
] | 1 | 2021-05-15T22:35:51.000Z | 2021-05-15T22:35:51.000Z | src/modeling/models_cv.py | sebasjp/octopus | c8f650cf9487a82d6b71a5d5bada12c5c42ab954 | [
"MIT"
] | null | null | null | src/modeling/models_cv.py | sebasjp/octopus | c8f650cf9487a82d6b71a5d5bada12c5c42ab954 | [
"MIT"
] | null | null | null | from sklearn.ensemble import RandomForestClassifier
import xgboost as xgb
from sklearn.model_selection import cross_val_score
from sklearn.pipeline import Pipeline
import numpy as np
# =============================================================
# Modeling tools for cross validation
# Reference: https://github.com/fm... | 33.30303 | 102 | 0.558386 | 330 | 3,297 | 5.381818 | 0.339394 | 0.056306 | 0.04223 | 0.042793 | 0.583896 | 0.544482 | 0.480856 | 0.399775 | 0.356982 | 0.356982 | 0 | 0.004038 | 0.323931 | 3,297 | 98 | 103 | 33.642857 | 0.792732 | 0.358811 | 0 | 0.542373 | 0 | 0 | 0.028978 | 0 | 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 |
eb98399d5d514cad736c35a8e1b08c45e1e0717f | 4,089 | py | Python | flask_makespc.py | OliWright/MakeSPC | ddcc5b60de3bdb244b25da0d1a459b4b071ab278 | [
"MIT"
] | null | null | null | flask_makespc.py | OliWright/MakeSPC | ddcc5b60de3bdb244b25da0d1a459b4b071ab278 | [
"MIT"
] | null | null | null | flask_makespc.py | OliWright/MakeSPC | ddcc5b60de3bdb244b25da0d1a459b4b071ab278 | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (c) 2020 Oli Wright <oli.wright.github@gmail.com>
#
# 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
# ... | 41.72449 | 108 | 0.705062 | 563 | 4,089 | 4.989343 | 0.369449 | 0.019224 | 0.02136 | 0.027768 | 0.128159 | 0.045212 | 0 | 0 | 0 | 0 | 0 | 0.004877 | 0.197603 | 4,089 | 97 | 109 | 42.154639 | 0.851265 | 0.343849 | 0 | 0.035088 | 0 | 0.017544 | 0.243019 | 0.045283 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070175 | false | 0 | 0.070175 | 0.052632 | 0.245614 | 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 |
eb999df27e58e23913b51b8bb91c7eb0ee53cf08 | 1,201 | py | Python | pytherface/yamlFileReader.py | aseiger/pytherface-configurator | 704703cee8dd31f28fd73552c2b40c4b4d5faa5b | [
"MIT"
] | null | null | null | pytherface/yamlFileReader.py | aseiger/pytherface-configurator | 704703cee8dd31f28fd73552c2b40c4b4d5faa5b | [
"MIT"
] | null | null | null | pytherface/yamlFileReader.py | aseiger/pytherface-configurator | 704703cee8dd31f28fd73552c2b40c4b4d5faa5b | [
"MIT"
] | null | null | null | #reads in the protocol requirements and stores the information in a class
import yaml
import logging
logger = logging.getLogger(__name__)
def loadYamlFile(filename):
#open up the filename
logger.debug("Opening file {}".format(filename))
try:
fObject = open(filename, 'r')
except Fi... | 31.605263 | 77 | 0.631973 | 137 | 1,201 | 5.510949 | 0.583942 | 0.007947 | 0.021192 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.273106 | 1,201 | 37 | 78 | 32.459459 | 0.864834 | 0.273106 | 0 | 0 | 0 | 0 | 0.089157 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eb9c7f642d7fd9e4d6c05d5178d9f6237379f4fa | 2,087 | py | Python | docker/src/app_server/sse.py | ShenTengTu/leak_monitoring_app | dba3bc6aebdc4fe104508262065e426844a1ce52 | [
"MIT"
] | null | null | null | docker/src/app_server/sse.py | ShenTengTu/leak_monitoring_app | dba3bc6aebdc4fe104508262065e426844a1ce52 | [
"MIT"
] | null | null | null | docker/src/app_server/sse.py | ShenTengTu/leak_monitoring_app | dba3bc6aebdc4fe104508262065e426844a1ce52 | [
"MIT"
] | null | null | null | import logging
import io
from asyncio import Queue
from sse_starlette.sse import (
EventSourceResponse as _EventSourceResponse,
AppStatus,
ServerSentEvent,
)
from .endec import Encode
logger = logging.getLogger("app_server")
class EventSourceResponse(_EventSourceResponse):
"""Override original `Event... | 30.691176 | 88 | 0.595592 | 235 | 2,087 | 5.165957 | 0.421277 | 0.026359 | 0.032125 | 0.04201 | 0.074959 | 0.054366 | 0.054366 | 0 | 0 | 0 | 0 | 0.000671 | 0.285577 | 2,087 | 67 | 89 | 31.149254 | 0.813548 | 0.051749 | 0 | 0.038462 | 0 | 0 | 0.117108 | 0.010692 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.096154 | 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 |
eba3ba5c97bda5e5f7c847bfd13a55f5e2d84a33 | 280 | py | Python | github-json_to_xml/conv.py | alvarenga/github-json_to_xml | 6ac210bea8badbed18f9e65127cb19e386e85d24 | [
"MIT"
] | null | null | null | github-json_to_xml/conv.py | alvarenga/github-json_to_xml | 6ac210bea8badbed18f9e65127cb19e386e85d24 | [
"MIT"
] | null | null | null | github-json_to_xml/conv.py | alvarenga/github-json_to_xml | 6ac210bea8badbed18f9e65127cb19e386e85d24 | [
"MIT"
] | null | null | null | def conv(user):
import requests
import json
import xmltodict
url = 'https://api.github.com/users/' + user
s = requests.get(url)
# Converter json para dict
x = {}
x['wg'] = json.loads(s.text)
y = xmltodict.unparse(x, pretty=True)
return y
| 20 | 48 | 0.6 | 39 | 280 | 4.307692 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.267857 | 280 | 13 | 49 | 21.538462 | 0.819512 | 0.085714 | 0 | 0 | 0 | 0 | 0.122047 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.3 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eba7e9b9d2ce20a664ab35ed0b3544b8abc90d3f | 4,394 | py | Python | rail/creation/creator.py | LSSTDESC/RAIL | 77707a708068a6818d5d815fb6b952ecc06d511b | [
"MIT"
] | 7 | 2020-09-21T13:02:23.000Z | 2022-03-23T19:26:41.000Z | rail/creation/creator.py | LSSTDESC/RAIL | 77707a708068a6818d5d815fb6b952ecc06d511b | [
"MIT"
] | 116 | 2019-11-21T17:20:52.000Z | 2022-03-30T11:21:54.000Z | rail/creation/creator.py | LSSTDESC/RAIL | 77707a708068a6818d5d815fb6b952ecc06d511b | [
"MIT"
] | 6 | 2020-01-24T17:14:43.000Z | 2022-03-30T11:27:20.000Z | import numpy as np
import pandas as pd
from rail.creation.engines import Engine
from typing import Callable
class Creator:
"""Object that supplies mock data for redshift estimation experiments.
The mock data is drawn from a probability distribution defined by the
generator, with an optional degrader appl... | 37.237288 | 107 | 0.60924 | 535 | 4,394 | 4.927103 | 0.342056 | 0.024279 | 0.014795 | 0.014416 | 0.046282 | 0.011381 | 0.011381 | 0 | 0 | 0 | 0 | 0.007692 | 0.319527 | 4,394 | 117 | 108 | 37.555556 | 0.873913 | 0.503641 | 0 | 0 | 0 | 0 | 0.011993 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.111111 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eba86bf586aecd5b8c7e0131858b6b347ef52969 | 834 | py | Python | contrib/nchain/devops/pipe-unittests.py | Trackerming/bitcoin-sv | fb50a64e3ea0334a86b2c80daf5147c5bc2693c4 | [
"MIT"
] | 8 | 2019-08-02T02:49:42.000Z | 2022-01-17T15:51:48.000Z | contrib/nchain/devops/pipe-unittests.py | Trackerming/bitcoin-sv | fb50a64e3ea0334a86b2c80daf5147c5bc2693c4 | [
"MIT"
] | null | null | null | contrib/nchain/devops/pipe-unittests.py | Trackerming/bitcoin-sv | fb50a64e3ea0334a86b2c80daf5147c5bc2693c4 | [
"MIT"
] | 4 | 2019-08-02T02:50:44.000Z | 2021-05-28T03:21:38.000Z | #!/usr/bin/python3
# Perform the unit tests on SV
import subprocess
import os
import pathlib
import traceback
import pipetestutils
def main():
r1 = -1
try:
pathlib.Path("build/reports").mkdir(parents=True, exist_ok=True)
os.chdir("src/test")
except Exception as e:
print("Problem ch... | 23.828571 | 72 | 0.581535 | 100 | 834 | 4.71 | 0.58 | 0.050955 | 0.072187 | 0.076433 | 0.318471 | 0.318471 | 0.191083 | 0.191083 | 0.191083 | 0.191083 | 0 | 0.011628 | 0.278177 | 834 | 34 | 73 | 24.529412 | 0.770764 | 0.055156 | 0 | 0.296296 | 0 | 0 | 0.223919 | 0.05598 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.185185 | 0 | 0.222222 | 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 |
ebaa426765a7f0d350ab28d87557159798371f08 | 2,439 | py | Python | tx_salaries/utils/transformers/ut_medical_branch.py | texastribune/tx_salaries | 197d8da4e1783216830b8d0a5adb23c0200fd3e8 | [
"Apache-2.0"
] | 6 | 2016-05-18T05:53:44.000Z | 2019-06-13T18:27:50.000Z | tx_salaries/utils/transformers/ut_medical_branch.py | texastribune/tx_salaries | 197d8da4e1783216830b8d0a5adb23c0200fd3e8 | [
"Apache-2.0"
] | 64 | 2015-02-13T18:29:04.000Z | 2018-06-15T19:48:56.000Z | tx_salaries/utils/transformers/ut_medical_branch.py | texastribune/tx_salaries | 197d8da4e1783216830b8d0a5adb23c0200fd3e8 | [
"Apache-2.0"
] | 2 | 2015-05-08T19:22:12.000Z | 2016-07-11T16:57:49.000Z | from . import base
from . import mixins
from datetime import date
class TransformedRecord(
mixins.GenericCompensationMixin,
mixins.GenericDepartmentMixin, mixins.GenericIdentifierMixin,
mixins.GenericJobTitleMixin, mixins.GenericPersonMixin,
mixins.MembershipMixin, mixins.OrganizationM... | 29.385542 | 77 | 0.627306 | 252 | 2,439 | 5.884921 | 0.444444 | 0.037087 | 0.035064 | 0.04855 | 0.125421 | 0.04855 | 0.04855 | 0.04855 | 0 | 0 | 0 | 0.00723 | 0.262813 | 2,439 | 82 | 78 | 29.743902 | 0.817575 | 0.04838 | 0 | 0.163934 | 0 | 0 | 0.236309 | 0.011643 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081967 | false | 0 | 0.04918 | 0.016393 | 0.393443 | 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 |
ebac6ca248c814898ee7e3737a6b5b9899d1e5a4 | 762 | py | Python | utils/custombase.py | Zashel/utils | 1c8b9e1ad7ceb1924a719bef588fcfe38dfd1f70 | [
"Apache-2.0"
] | null | null | null | utils/custombase.py | Zashel/utils | 1c8b9e1ad7ceb1924a719bef588fcfe38dfd1f70 | [
"Apache-2.0"
] | null | null | null | utils/custombase.py | Zashel/utils | 1c8b9e1ad7ceb1924a719bef588fcfe38dfd1f70 | [
"Apache-2.0"
] | null | null | null | class AttributedDict(dict):
def __dir__(self):
directory = dir(super())
directory.extend([str(key.replace(" ", "_")) for key in self])
return directory
def __getattr__(self, attr):
_dir_dict = dict()
[_dir_dict.update({key.replace(" ", "_"): key}) for key in self]
... | 31.75 | 72 | 0.560367 | 90 | 762 | 4.4 | 0.277778 | 0.141414 | 0.060606 | 0.090909 | 0.323232 | 0.323232 | 0.323232 | 0.323232 | 0.323232 | 0.323232 | 0 | 0 | 0.316273 | 762 | 23 | 73 | 33.130435 | 0.760077 | 0 | 0 | 0.47619 | 0 | 0 | 0.007874 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 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 |
ebaeccfe37530d080542e9861760ac1b8264f12f | 31,392 | py | Python | utils.py | val-iisc/ss_human_mesh | f9c7fcf577c83316eb610753e3f5678b7b5e24c5 | [
"MIT"
] | 31 | 2020-08-31T11:32:33.000Z | 2021-12-05T08:47:33.000Z | utils.py | rakeshramesha/SS_Human_Mesh | b27d53a08b60a1ac32d1845557f317c165498fd5 | [
"MIT"
] | null | null | null | utils.py | rakeshramesha/SS_Human_Mesh | b27d53a08b60a1ac32d1845557f317c165498fd5 | [
"MIT"
] | 7 | 2020-09-25T03:50:59.000Z | 2021-12-10T05:24:58.000Z |
""" General Utilities file. """
import sys
import os
############################ NON-TF UTILS ##########################
from skimage.util import img_as_float
import numpy as np
import cv2
import pickle
from PIL import Image
from io import BytesIO
import math
import tqdm
import scipy
import json
import matplo... | 33.538462 | 195 | 0.618374 | 4,930 | 31,392 | 3.718256 | 0.146856 | 0.024876 | 0.003819 | 0.008401 | 0.330206 | 0.263543 | 0.222301 | 0.206917 | 0.187715 | 0.17615 | 0 | 0.04785 | 0.239074 | 31,392 | 935 | 196 | 33.574332 | 0.719555 | 0.161602 | 0 | 0.231561 | 0 | 0 | 0.013716 | 0.004217 | 0 | 0 | 0 | 0 | 0.001715 | 1 | 0.087479 | false | 0 | 0.039451 | 0 | 0.210978 | 0.006861 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebb024cf3162a7ae7533de24c182385e63946496 | 8,389 | py | Python | netQuil/connections.py | att-innovate/qnetdes | 459d688e92139ab3219416cdb9e3b20ff082dc1d | [
"MIT"
] | 4 | 2019-11-14T21:30:35.000Z | 2021-12-13T08:34:33.000Z | netQuil/connections.py | att-innovate/qnetdes | 459d688e92139ab3219416cdb9e3b20ff082dc1d | [
"MIT"
] | null | null | null | netQuil/connections.py | att-innovate/qnetdes | 459d688e92139ab3219416cdb9e3b20ff082dc1d | [
"MIT"
] | null | null | null | import queue
import multiprocessing
import itertools
import sys
__all__ = ["QConnect", "CConnect"]
pulse_length_default = 10 * 10 ** -12 # 10 ps photon pulse length
signal_speed = 2.998 * 10 ** 5 #speed of light in km/s
fiber_length_default = 0.0
class QConnect:
def __init__(self, *args, transit_devices=[]):
... | 39.947619 | 119 | 0.619383 | 1,023 | 8,389 | 4.924731 | 0.162268 | 0.061532 | 0.032751 | 0.015879 | 0.356689 | 0.26717 | 0.250099 | 0.241366 | 0.241366 | 0.216753 | 0 | 0.004829 | 0.308857 | 8,389 | 210 | 120 | 39.947619 | 0.864091 | 0.293003 | 0 | 0.290909 | 0 | 0 | 0.022023 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054545 | false | 0 | 0.036364 | 0 | 0.145455 | 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 |
ebb199161cfe0fe5c616a4c065ef5c14803d10c1 | 2,035 | py | Python | pqcli/ui/curses/views/game_view/character_sheet_window.py | tree-s/pq-cli | f5d0ed69a99c490a63f854442fba2b443e59a134 | [
"MIT"
] | 94 | 2018-11-17T22:40:16.000Z | 2022-03-28T05:09:16.000Z | pqcli/ui/curses/views/game_view/character_sheet_window.py | tree-s/pq-cli | f5d0ed69a99c490a63f854442fba2b443e59a134 | [
"MIT"
] | 17 | 2019-04-10T18:06:46.000Z | 2022-03-03T03:25:08.000Z | pqcli/ui/curses/views/game_view/character_sheet_window.py | tree-s/pq-cli | f5d0ed69a99c490a63f854442fba2b443e59a134 | [
"MIT"
] | 14 | 2019-04-10T21:33:14.000Z | 2022-02-16T14:42:56.000Z | import typing as T
from pqcli.mechanic import Player, StatType
from pqcli.ui.curses.widgets import Focusable
from .progress_bar_window import DataTableProgressBarWindow
class CharacterSheetWindow(Focusable, DataTableProgressBarWindow):
def __init__(
self, player: Player, parent: T.Any, h: int, w: int, y... | 30.373134 | 75 | 0.615725 | 252 | 2,035 | 4.615079 | 0.31746 | 0.128977 | 0.078246 | 0.082545 | 0.239037 | 0.123818 | 0.123818 | 0.123818 | 0 | 0 | 0 | 0.002011 | 0.26683 | 2,035 | 66 | 76 | 30.833333 | 0.77748 | 0 | 0 | 0 | 0 | 0 | 0.064373 | 0.016708 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.076923 | 0 | 0.211538 | 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 |
ebb3616f90465bce3896df5538302b23c8d738c6 | 1,668 | py | Python | src/precession/planet.py | kurlytail/precession | a5dd83f4fca4629de1f5759bb467183bda1a6506 | [
"MIT"
] | null | null | null | src/precession/planet.py | kurlytail/precession | a5dd83f4fca4629de1f5759bb467183bda1a6506 | [
"MIT"
] | null | null | null | src/precession/planet.py | kurlytail/precession | a5dd83f4fca4629de1f5759bb467183bda1a6506 | [
"MIT"
] | null | null | null | import yaml
import pathlib
import json
import math
class Planet(object):
def __init__(self, config):
self.GMS = 0
# mass
self.M = 0.
self.name = "unknown"
# period
self.T = 1.
# eccentricity
self.e = 0.
# semi major axis
self.a = 1.
... | 27.8 | 97 | 0.522182 | 223 | 1,668 | 3.820628 | 0.336323 | 0.029343 | 0.028169 | 0.035211 | 0.052817 | 0.052817 | 0 | 0 | 0 | 0 | 0 | 0.013686 | 0.342926 | 1,668 | 59 | 98 | 28.271186 | 0.763686 | 0.032374 | 0 | 0 | 0 | 0.021277 | 0.082711 | 0.03296 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12766 | false | 0 | 0.085106 | 0.021277 | 0.297872 | 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 |
ebb54d34edb14bf6d75544e3fae03ac69c069a8f | 15,289 | py | Python | jade/jobs/job_submitter.py | NREL/jade | 84d73f45e206c4a35e6483e6c1ce29ab7ac7e543 | [
"BSD-3-Clause"
] | 15 | 2021-05-15T21:58:26.000Z | 2022-03-17T08:26:48.000Z | jade/jobs/job_submitter.py | NREL/jade | 84d73f45e206c4a35e6483e6c1ce29ab7ac7e543 | [
"BSD-3-Clause"
] | 22 | 2021-02-04T20:02:33.000Z | 2021-09-14T13:29:30.000Z | jade/jobs/job_submitter.py | NREL/jade | 84d73f45e206c4a35e6483e6c1ce29ab7ac7e543 | [
"BSD-3-Clause"
] | 3 | 2021-01-11T15:11:31.000Z | 2021-06-07T17:36:51.000Z | """Provides ability to run jobs locally or on HPC."""
from collections import OrderedDict
import datetime
import fileinput
import importlib
import logging
import os
import shutil
import jade
from jade.common import (
CONFIG_FILE,
JOBS_OUTPUT_DIR,
OUTPUT_DIR,
RESULTS_FILE,
HPC_CONFIG_FILE,
)
from j... | 35.473318 | 99 | 0.608738 | 1,685 | 15,289 | 5.279525 | 0.197626 | 0.017986 | 0.007869 | 0.011241 | 0.176147 | 0.110612 | 0.093413 | 0.073516 | 0.057329 | 0.036196 | 0 | 0.001595 | 0.302832 | 15,289 | 430 | 100 | 35.555814 | 0.833005 | 0.086598 | 0 | 0.123839 | 0 | 0 | 0.098097 | 0.00981 | 0 | 0 | 0 | 0 | 0.003096 | 1 | 0.049536 | false | 0.003096 | 0.092879 | 0.003096 | 0.182663 | 0.003096 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebb61e698b97baa6c67673863e148e21ab80d713 | 1,364 | py | Python | testing/MarketMaker_contract_test.py | SK1989sL/RYO | a0c89c694d9ad4aed9a9776937f2f73271b67f28 | [
"MIT"
] | null | null | null | testing/MarketMaker_contract_test.py | SK1989sL/RYO | a0c89c694d9ad4aed9a9776937f2f73271b67f28 | [
"MIT"
] | null | null | null | testing/MarketMaker_contract_test.py | SK1989sL/RYO | a0c89c694d9ad4aed9a9776937f2f73271b67f28 | [
"MIT"
] | null | null | null | import os
import pytest
from starkware.starknet.compiler.compile import (
compile_starknet_files)
from starkware.starknet.testing.starknet import Starknet
from starkware.starknet.testing.contract import StarknetContract
# The path to the contract source code.
CONTRACT_FILE = os.path.join(
os.path.dirname(__fi... | 30.311111 | 79 | 0.73827 | 181 | 1,364 | 5.287293 | 0.38674 | 0.025078 | 0.065831 | 0.058516 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009001 | 0.185484 | 1,364 | 44 | 80 | 31 | 0.852385 | 0.195748 | 0 | 0 | 0 | 0 | 0.027624 | 0.027624 | 0 | 0 | 0 | 0 | 0.074074 | 1 | 0 | false | 0 | 0.185185 | 0 | 0.185185 | 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 |
ebb6bb07248128010f898b3fb588b1cee8d3c6cc | 1,930 | py | Python | test/perform_additional_setup.py | aws/amazon-braket-containers | 44187fb4cc73e05bda3e361638d94b90f6e4c06a | [
"Apache-2.0"
] | 1 | 2022-03-22T23:49:17.000Z | 2022-03-22T23:49:17.000Z | test/perform_additional_setup.py | aws/amazon-braket-containers | 44187fb4cc73e05bda3e361638d94b90f6e4c06a | [
"Apache-2.0"
] | null | null | null | test/perform_additional_setup.py | aws/amazon-braket-containers | 44187fb4cc73e05bda3e361638d94b90f6e4c06a | [
"Apache-2.0"
] | 3 | 2021-11-29T21:19:31.000Z | 2022-01-13T16:31:06.000Z | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompan... | 33.275862 | 77 | 0.698964 | 283 | 1,930 | 4.55477 | 0.44523 | 0.031032 | 0.024825 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017857 | 0.21658 | 1,930 | 57 | 78 | 33.859649 | 0.834656 | 0.389637 | 0 | 0 | 0 | 0 | 0.114058 | 0.045977 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.25 | 0 | 0.357143 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebb7280816985728a4a272af67774f62eef9667c | 1,146 | py | Python | experiments/optim.py | fbcotter/dtcwt_gainlayer | 32ec3e21066edc2a0d5edefaf70f43d031d1b4ac | [
"MIT"
] | 6 | 2018-11-14T22:41:58.000Z | 2021-12-08T11:01:32.000Z | experiments/optim.py | fbcotter/dtcwt_gainlayer | 32ec3e21066edc2a0d5edefaf70f43d031d1b4ac | [
"MIT"
] | null | null | null | experiments/optim.py | fbcotter/dtcwt_gainlayer | 32ec3e21066edc2a0d5edefaf70f43d031d1b4ac | [
"MIT"
] | 1 | 2020-05-22T16:10:00.000Z | 2020-05-22T16:10:00.000Z | import torch.optim
from numpy import ndarray
def get_optim(optim, params, init_lr, steps=1, wd=0, gamma=1,
momentum=0.9, max_epochs=120):
if optim == 'sgd':
optimizer = torch.optim.SGD(
params, lr=init_lr, momentum=momentum, weight_decay=wd)
elif optim == 'sgd_nomem':
... | 33.705882 | 69 | 0.624782 | 144 | 1,146 | 4.881944 | 0.361111 | 0.085349 | 0.081081 | 0.059744 | 0.361309 | 0.125178 | 0.125178 | 0.125178 | 0.125178 | 0 | 0 | 0.018846 | 0.259162 | 1,146 | 33 | 70 | 34.727273 | 0.809187 | 0.035777 | 0 | 0.148148 | 0 | 0 | 0.047187 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.074074 | 0 | 0.148148 | 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 |
ebb8162cb09b68c8030371823ad7d00d0561cc03 | 1,941 | py | Python | src/microengineclamav/tasks.py | polyswarm/microengine-clamav | 9427932cd35d4f8bfc7fe7877e90f518e7a3bfbb | [
"MIT"
] | 2 | 2018-05-20T00:08:14.000Z | 2018-06-13T22:42:14.000Z | src/microengineclamav/tasks.py | polyswarm/microengine-clamav | 9427932cd35d4f8bfc7fe7877e90f518e7a3bfbb | [
"MIT"
] | 1 | 2021-06-22T15:03:01.000Z | 2021-06-22T20:26:52.000Z | src/microengineclamav/tasks.py | polyswarm/microengine-clamav | 9427932cd35d4f8bfc7fe7877e90f518e7a3bfbb | [
"MIT"
] | 1 | 2019-02-21T20:22:32.000Z | 2019-02-21T20:22:32.000Z | from celery import Celery, Task
from microengine_utils import errors
from microengine_utils.datadog import configure_metrics
from microengine_utils.constants import SCAN_FAIL, SCAN_SUCCESS, SCAN_TIME, SCAN_VERDICT
from microengineclamav.models import Bounty, ScanResult, Verdict, Assertion, Phase
from microengineclamav... | 35.944444 | 104 | 0.663575 | 218 | 1,941 | 5.678899 | 0.344037 | 0.056543 | 0.061389 | 0.067851 | 0.181745 | 0.065428 | 0 | 0 | 0 | 0 | 0 | 0.000692 | 0.255023 | 1,941 | 53 | 105 | 36.622642 | 0.855463 | 0.016486 | 0 | 0.046512 | 0 | 0 | 0.076036 | 0.073414 | 0 | 0 | 0 | 0 | 0.046512 | 1 | 0.046512 | false | 0 | 0.162791 | 0 | 0.27907 | 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 |
ebb9e939ebab9f1ac907089a906eafebd3d40188 | 18,835 | py | Python | app/main.py | rendybjunior/freddie-mercury | 1b6d1fe8c06f317e5fc8ab17afdfa0a8b90a7a75 | [
"Apache-2.0"
] | null | null | null | app/main.py | rendybjunior/freddie-mercury | 1b6d1fe8c06f317e5fc8ab17afdfa0a8b90a7a75 | [
"Apache-2.0"
] | 2 | 2019-05-11T16:25:54.000Z | 2019-05-13T01:19:16.000Z | app/main.py | rendybjunior/freddie-mercury | 1b6d1fe8c06f317e5fc8ab17afdfa0a8b90a7a75 | [
"Apache-2.0"
] | null | null | null | import datetime
import os, sys, six, base64, copy
from jinja2 import Environment, FileSystemLoader, Template
from google.auth.transport import requests
from google.cloud import datastore
from google.cloud import storage
from google.cloud import bigquery
import google.oauth2.id_token
from flask import Flask, render_t... | 40.945652 | 156 | 0.623042 | 2,287 | 18,835 | 4.880192 | 0.155225 | 0.020697 | 0.021324 | 0.018816 | 0.473255 | 0.379984 | 0.362423 | 0.328644 | 0.292089 | 0.276857 | 0 | 0.008483 | 0.261481 | 18,835 | 460 | 157 | 40.945652 | 0.793889 | 0.060473 | 0 | 0.379487 | 0 | 0 | 0.12396 | 0.013528 | 0 | 0 | 0 | 0.002174 | 0 | 1 | 0.038462 | false | 0.005128 | 0.035897 | 0 | 0.158974 | 0.005128 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebbaa88673070e1877aabf5581d29c7b6749d413 | 982 | py | Python | ej2.py | NiopTres/Ejercicio-Herramientas-Computacionales | af97b810e1ade4fb2cdfa433e1e09ddc301b7dd3 | [
"Unlicense"
] | null | null | null | ej2.py | NiopTres/Ejercicio-Herramientas-Computacionales | af97b810e1ade4fb2cdfa433e1e09ddc301b7dd3 | [
"Unlicense"
] | null | null | null | ej2.py | NiopTres/Ejercicio-Herramientas-Computacionales | af97b810e1ade4fb2cdfa433e1e09ddc301b7dd3 | [
"Unlicense"
] | null | null | null | NotaParcial1 = int(input("Nota primer Parcial: "))
NotaParcial2 = int(input("Nota segundo Parcial: "))
NotaTaller = int(input("Nota del Taller: "))
NotaProyecto = int(input("Nota del Proyecto: "))
Parcial1 = NotaParcial1*(25/100)
Parcial2 = NotaParcial2*(25/100)
Taller = NotaTaller*(20/100)
Proyecto = NotaPr... | 24.55 | 99 | 0.729124 | 126 | 982 | 5.666667 | 0.34127 | 0.063025 | 0.067227 | 0.042017 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050063 | 0.186354 | 982 | 39 | 100 | 25.179487 | 0.843554 | 0 | 0 | 0 | 0 | 0 | 0.195062 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
ebbeecd7804589e9d66d63e0bc0c0723583222d7 | 1,395 | py | Python | build/package.py | weijiekoh/malvarma | cc8b699b697a0735dd53af27ae4a23955b581f93 | [
"MIT"
] | 15 | 2018-01-15T14:22:46.000Z | 2022-03-20T19:05:27.000Z | build/package.py | stephensong/malvarma | cc8b699b697a0735dd53af27ae4a23955b581f93 | [
"MIT"
] | 1 | 2018-01-21T09:56:04.000Z | 2018-06-21T06:20:23.000Z | build/package.py | stephensong/malvarma | cc8b699b697a0735dd53af27ae4a23955b581f93 | [
"MIT"
] | 6 | 2018-01-21T10:00:48.000Z | 2021-07-26T00:03:45.000Z | #!/usr/bin/env python3
"""
This script checksums, signs, and compresses malvarma-<version>.img, and
creates malvarma-<version>.tar.bz2.
The author's GPG signature is hardcoded below.
"""
import os
import shutil
import sys
import subprocess
if __name__ == "__main__":
if len(sys.argv) == 1:
print("Usage: ... | 31.704545 | 120 | 0.665233 | 171 | 1,395 | 5.298246 | 0.432749 | 0.110375 | 0.066225 | 0.082781 | 0.247241 | 0.12362 | 0.12362 | 0.12362 | 0.12362 | 0 | 0 | 0.026738 | 0.195699 | 1,395 | 43 | 121 | 32.44186 | 0.780749 | 0.127599 | 0 | 0.185185 | 0 | 0 | 0.239868 | 0.035567 | 0 | 0 | 0.014888 | 0 | 0 | 1 | 0 | false | 0 | 0.148148 | 0 | 0.148148 | 0.185185 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebc2424c2e78916d3caf093c64b2223284f39d93 | 1,955 | py | Python | examples/recordRawFrames.py | OnionIoT/tau-lidar-camera | a70b24e18be8e4c5abfe525c6768fbc10a492fd8 | [
"MIT"
] | 31 | 2020-12-18T16:35:15.000Z | 2022-03-25T18:41:19.000Z | examples/recordRawFrames.py | OnionIoT/tau-lidar-camera | a70b24e18be8e4c5abfe525c6768fbc10a492fd8 | [
"MIT"
] | 17 | 2020-11-18T16:10:36.000Z | 2022-02-01T22:19:11.000Z | examples/recordRawFrames.py | OnionIoT/tau-lidar-camera | a70b24e18be8e4c5abfe525c6768fbc10a492fd8 | [
"MIT"
] | 4 | 2021-01-18T17:25:02.000Z | 2021-11-01T13:25:45.000Z | import os
import time
from signal import signal, SIGINT
from TauLidarCommon.frame import FrameType
from TauLidarCamera.camera import Camera
outputDir = './samples'
runLoop = True
def setup():
camera = None
ports = Camera.scan() ## Scan for available Tau Camera devices
if len(ports)... | 26.066667 | 89 | 0.586189 | 210 | 1,955 | 5.4 | 0.461905 | 0.048501 | 0.031746 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017647 | 0.304348 | 1,955 | 74 | 90 | 26.418919 | 0.816176 | 0.083887 | 0 | 0.037736 | 0 | 0 | 0.133146 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075472 | false | 0 | 0.09434 | 0 | 0.188679 | 0.207547 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebc29b44ef030ad4cf5e8ff010606f3919b7f18d | 1,038 | py | Python | HyeonJinGithub/2020-10-13/2560 회장뽑기.py | Team-Morgorithm/Morgorithm | 133f19e1e15e423589bd7b94b698d2afc76c3ef6 | [
"MIT"
] | 1 | 2021-07-29T01:33:44.000Z | 2021-07-29T01:33:44.000Z | HyeonJinGithub/2020-10-13/2560 회장뽑기.py | Team-NTO/NTO | 133f19e1e15e423589bd7b94b698d2afc76c3ef6 | [
"MIT"
] | 150 | 2020-09-28T13:11:29.000Z | 2021-08-05T23:28:36.000Z | HyeonJinGithub/2020-10-13/2560 회장뽑기.py | Team-Morgorithm/morgorithm | 133f19e1e15e423589bd7b94b698d2afc76c3ef6 | [
"MIT"
] | 3 | 2020-09-30T14:05:56.000Z | 2021-07-29T01:33:53.000Z | import sys
from collections import deque
def bfs(x):
q = deque([x])
dist = [0] * (N + 1)
check = [False] * (N + 1)
cnt = -1
check[x] = True
while q:
size = len(q)
cnt += 1
for _ in range(size):
x = q.popleft()
for y in a[x]:
if dist... | 24.714286 | 54 | 0.421002 | 141 | 1,038 | 3.028369 | 0.361702 | 0.018735 | 0.046838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032423 | 0.435453 | 1,038 | 42 | 55 | 24.714286 | 0.696246 | 0 | 0 | 0.097561 | 0 | 0 | 0.008662 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.04878 | 0 | 0.097561 | 0.04878 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebc743c4294c3b10ce8684625c881a47ded3ea8a | 5,235 | py | Python | tests/test_bokeh_wamp.py | ricorx7/rti-python | 1316323b782ddb8df357e55404f507a9573e172c | [
"BSD-3-Clause"
] | 1 | 2017-06-10T13:27:44.000Z | 2017-06-10T13:27:44.000Z | tests/test_bokeh_wamp.py | ricorx7/rti-python | 1316323b782ddb8df357e55404f507a9573e172c | [
"BSD-3-Clause"
] | 10 | 2019-12-28T18:06:18.000Z | 2022-03-25T18:48:20.000Z | tests/test_bokeh_wamp.py | ricorx7/rti_python | 1316323b782ddb8df357e55404f507a9573e172c | [
"BSD-3-Clause"
] | null | null | null | import json
from twisted.logger import Logger
from twisted.internet.defer import inlineCallbacks
from autobahn.twisted.wamp import ApplicationSession
from autobahn.twisted.wamp import ApplicationRunner
from bokeh.client import push_session
from bokeh.plotting import figure, curdoc
from bokeh.models.widgets import Pan... | 41.547619 | 110 | 0.637631 | 695 | 5,235 | 4.686331 | 0.253237 | 0.055266 | 0.073687 | 0.036844 | 0.45809 | 0.429229 | 0.338348 | 0.240098 | 0.156586 | 0.156586 | 0 | 0.033028 | 0.207641 | 5,235 | 126 | 111 | 41.547619 | 0.75217 | 0.082713 | 0 | 0 | 0 | 0 | 0.126722 | 0.019284 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.114943 | 0 | 0.16092 | 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 |
ebc7a37f046171aa884cf21a18cce4f0bbd74515 | 8,338 | py | Python | scripts/betterX_labs_attributes.py | eliasall/BetterX-Cloud | c6796f1207ced4ad3c63fd56df08ecf5ece613e1 | [
"Apache-2.0"
] | null | null | null | scripts/betterX_labs_attributes.py | eliasall/BetterX-Cloud | c6796f1207ced4ad3c63fd56df08ecf5ece613e1 | [
"Apache-2.0"
] | null | null | null | scripts/betterX_labs_attributes.py | eliasall/BetterX-Cloud | c6796f1207ced4ad3c63fd56df08ecf5ece613e1 | [
"Apache-2.0"
] | null | null | null |
## Web File
def insertWeb(filetype, json, cursor, conn, uid):
if (filetype == 'web'):
web_page_node(json,uid,cursor,conn) # [pages] / [pageNode]
web_entry_node(json, uid, cursor, conn) # [pages] / [entriesNode]
def web_entry_response(json_entries_node, uid, cursor, conn, parentid):
tblName = 'lab_web_entries... | 32.570313 | 133 | 0.71444 | 861 | 8,338 | 6.835075 | 0.188153 | 0.050977 | 0.017672 | 0.011555 | 0.435174 | 0.397451 | 0.379269 | 0.300255 | 0.268479 | 0.239932 | 0 | 0.023302 | 0.150756 | 8,338 | 256 | 134 | 32.570313 | 0.807796 | 0.039938 | 0 | 0.457286 | 0 | 0 | 0.160882 | 0.017416 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060302 | false | 0 | 0 | 0 | 0.095477 | 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 |
ebc8be7f524d02d68beecb4c56841bf72041c9e6 | 1,148 | py | Python | tutorials/W2D2_LinearSystems/solutions/W2D2_Tutorial3_Solution_b972f241.py | eduardojdiniz/CompNeuro | 20269e66540dc4e802273735c97323020ee37406 | [
"CC-BY-4.0",
"BSD-3-Clause"
] | 2,294 | 2020-05-11T12:05:35.000Z | 2022-03-28T21:23:34.000Z | tutorials/W2D2_LinearSystems/solutions/W2D2_Tutorial3_Solution_b972f241.py | pellet/course-content | bb383857992469e0e7a9c36639ac0d05e842d9bd | [
"CC-BY-4.0",
"BSD-3-Clause"
] | 629 | 2020-05-11T15:42:26.000Z | 2022-03-29T12:23:35.000Z | tutorials/W2D2_LinearSystems/solutions/W2D2_Tutorial3_Solution_b972f241.py | pellet/course-content | bb383857992469e0e7a9c36639ac0d05e842d9bd | [
"CC-BY-4.0",
"BSD-3-Clause"
] | 917 | 2020-05-11T12:47:53.000Z | 2022-03-31T12:14:41.000Z | def ddm(T, x0, xinfty, lam, sig):
t = np.arange(0, T, 1.)
x = np.zeros_like(t)
x[0] = x0
for k in range(len(t)-1):
x[k+1] = xinfty + lam * (x[k] - xinfty) + sig * np.random.standard_normal(size=1)
return t, x
# computes equilibrium variance of ddm
# returns variance
def ddm_eq_var(T, x0, ... | 30.210526 | 89 | 0.691638 | 190 | 1,148 | 4.094737 | 0.421053 | 0.041131 | 0.034704 | 0.046272 | 0.137532 | 0.068123 | 0 | 0 | 0 | 0 | 0 | 0.037594 | 0.189024 | 1,148 | 38 | 90 | 30.210526 | 0.798067 | 0.313589 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 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 |
ebcd560a4b989401a8f15f7d602324e8d9dfe946 | 889 | py | Python | tests/dna_builders_test.py | auxein/auxein | 5388cb572b65aecc282f915515c35dc3b987154c | [
"Apache-2.0"
] | 1 | 2019-05-08T14:53:27.000Z | 2019-05-08T14:53:27.000Z | tests/dna_builders_test.py | auxein/auxein | 5388cb572b65aecc282f915515c35dc3b987154c | [
"Apache-2.0"
] | 2 | 2020-08-26T09:16:47.000Z | 2020-10-30T16:47:03.000Z | tests/dna_builders_test.py | auxein/auxein | 5388cb572b65aecc282f915515c35dc3b987154c | [
"Apache-2.0"
] | null | null | null | from unittest.mock import patch
import numpy as np
from auxein.population.dna_builders import UniformRandomDnaBuilder, NormalRandomDnaBuilder
def test_uniform_random_dna_builder_instantiation():
builder = UniformRandomDnaBuilder(interval=(-5, 0))
assert builder.get_distribution() == 'uniform'
assert len(... | 29.633333 | 90 | 0.725534 | 118 | 889 | 5.220339 | 0.364407 | 0.081169 | 0.077922 | 0.064935 | 0.097403 | 0.097403 | 0 | 0 | 0 | 0 | 0 | 0.037736 | 0.165354 | 889 | 29 | 91 | 30.655172 | 0.792453 | 0 | 0 | 0 | 0 | 0 | 0.035996 | 0 | 0 | 0 | 0 | 0 | 0.35 | 1 | 0.15 | false | 0 | 0.15 | 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 |
ebd0835b63b438a8287b71effbf6286cc7da50d9 | 5,393 | py | Python | distributed_model.py | mknw/mask-rcnn | 0e7d14abeecb208e63dc5a9f7c05dbd0419afbe7 | [
"MIT"
] | null | null | null | distributed_model.py | mknw/mask-rcnn | 0e7d14abeecb208e63dc5a9f7c05dbd0419afbe7 | [
"MIT"
] | null | null | null | distributed_model.py | mknw/mask-rcnn | 0e7d14abeecb208e63dc5a9f7c05dbd0419afbe7 | [
"MIT"
] | null | null | null | from model import *
from config import *
from utils import *
if __name__ == "__main__":
''' GPU(s) '''
gpus = tf.config.experimental.list_physical_devices('GPU')
GPU_N = 3
if gpus:
try:
tf.config.experimental.set_visible_devices(gpus[GPU_N:], 'GPU')
logical_gpus = tf.config.experimental.list_logical_devi... | 29.631868 | 139 | 0.708511 | 809 | 5,393 | 4.488257 | 0.284302 | 0.026439 | 0.026439 | 0.018728 | 0.226659 | 0.09474 | 0.09474 | 0.058937 | 0.017075 | 0 | 0 | 0.038893 | 0.156128 | 5,393 | 181 | 140 | 29.79558 | 0.758954 | 0.167625 | 0 | 0.067416 | 0 | 0 | 0.070668 | 0.007094 | 0 | 0 | 0 | 0.005525 | 0 | 1 | 0.05618 | false | 0 | 0.11236 | 0 | 0.224719 | 0.044944 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebd7565d7fb3e2e6e97cd012dbbf6e7433713b29 | 872 | py | Python | tests/test_dedge.py | GiliardGodoi/edgesets | b59a600400972ccc82e5e17f2acbb2b45045b40b | [
"MIT"
] | null | null | null | tests/test_dedge.py | GiliardGodoi/edgesets | b59a600400972ccc82e5e17f2acbb2b45045b40b | [
"MIT"
] | 20 | 2021-11-08T13:02:33.000Z | 2021-11-29T01:03:40.000Z | tests/test_dedge.py | GiliardGodoi/edgesets | b59a600400972ccc82e5e17f2acbb2b45045b40b | [
"MIT"
] | null | null | null | from edgesets import UEdge, DEdge
def test_repr():
e1 = DEdge(7, 8)
text = repr(e1)
assert text == "DEdge(7, 8, weight=1)"
e2 = eval(text)
assert type(e1) == type(e1)
assert e1 == e2
def test_if_directions_are_differents_with_same_nodes():
d1 = DEdge(10, 15)
d2 = DEdge(15... | 24.222222 | 61 | 0.603211 | 128 | 872 | 3.921875 | 0.328125 | 0.069721 | 0.027888 | 0.043825 | 0.507968 | 0.456175 | 0.36255 | 0.36255 | 0.36255 | 0.36255 | 0 | 0.075591 | 0.271789 | 872 | 36 | 61 | 24.222222 | 0.714961 | 0.061927 | 0 | 0.37037 | 0 | 0 | 0.026889 | 0 | 0 | 0 | 0 | 0 | 0.37037 | 1 | 0.185185 | false | 0 | 0.037037 | 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 |
ebd871d4dbf6a21fb3d86e6cb1fedb9b96ed2220 | 1,889 | py | Python | pred.py | amoshyc/tthl-code | d00ba5abd2ade5b55db6a6b95d136041022e3150 | [
"Apache-2.0"
] | null | null | null | pred.py | amoshyc/tthl-code | d00ba5abd2ade5b55db6a6b95d136041022e3150 | [
"Apache-2.0"
] | null | null | null | pred.py | amoshyc/tthl-code | d00ba5abd2ade5b55db6a6b95d136041022e3150 | [
"Apache-2.0"
] | null | null | null | import argparse
from pathlib import Path
import numpy as np
import scipy
import keras
from keras.models import load_model
from moviepy.editor import VideoFileClip, concatenate_videoclips
from tqdm import tqdm
def main():
# yapf: disable
parser = argparse.ArgumentParser(description='Video Highlight')
pa... | 32.568966 | 88 | 0.644256 | 277 | 1,889 | 4.303249 | 0.397112 | 0.045302 | 0.08557 | 0.043624 | 0.062081 | 0.033557 | 0 | 0 | 0 | 0 | 0 | 0.023669 | 0.194812 | 1,889 | 57 | 89 | 33.140351 | 0.760026 | 0.019587 | 0 | 0 | 0 | 0 | 0.103896 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.195122 | 0 | 0.219512 | 0.073171 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebd878270215dfbcc338d538a43df8bec58e8bb9 | 4,389 | py | Python | blog/views.py | captainxavier/AutoBlog | 44fb23628fe0210a3dcec80b91e1217d27ee9462 | [
"MIT"
] | null | null | null | blog/views.py | captainxavier/AutoBlog | 44fb23628fe0210a3dcec80b91e1217d27ee9462 | [
"MIT"
] | null | null | null | blog/views.py | captainxavier/AutoBlog | 44fb23628fe0210a3dcec80b91e1217d27ee9462 | [
"MIT"
] | null | null | null | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect
from django.utils import timezone
from django.db.models import Count, Q
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from django.contrib.auth import login, authenticate, log... | 33.503817 | 98 | 0.642971 | 497 | 4,389 | 5.430584 | 0.253521 | 0.052983 | 0.040015 | 0.029641 | 0.240089 | 0.203038 | 0.068914 | 0.034828 | 0 | 0 | 0 | 0.005576 | 0.264525 | 4,389 | 131 | 99 | 33.503817 | 0.830545 | 0.017316 | 0 | 0.222222 | 0 | 0 | 0.081618 | 0.005505 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.12037 | 0 | 0.203704 | 0.009259 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebd938bccdfd5e3d285fcfe2b39abb7192868335 | 1,408 | py | Python | data_loader/data_set_loader.py | ys10/WaveRNN | dc4eec65bc1eec59ebc533469d40f072df3a6be6 | [
"MIT"
] | 6 | 2018-11-15T05:48:02.000Z | 2021-06-18T02:22:31.000Z | data_loader/data_set_loader.py | ys10/WaveRNN | dc4eec65bc1eec59ebc533469d40f072df3a6be6 | [
"MIT"
] | null | null | null | data_loader/data_set_loader.py | ys10/WaveRNN | dc4eec65bc1eec59ebc533469d40f072df3a6be6 | [
"MIT"
] | 1 | 2021-04-02T11:53:52.000Z | 2021-04-02T11:53:52.000Z | # coding=utf-8
import tensorflow as tf
class DataSetLoader(object):
def __init__(self, config, generators, default_set_name='train'):
self.config = config
self.generators = generators
self.data_sets = dict()
self.data_set_init_ops = dict()
with tf.variable_scope("data"):
... | 48.551724 | 120 | 0.598011 | 169 | 1,408 | 4.692308 | 0.337278 | 0.088272 | 0.075662 | 0.037831 | 0.103405 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011179 | 0.301136 | 1,408 | 28 | 121 | 50.285714 | 0.794715 | 0.008523 | 0 | 0 | 0 | 0 | 0.016499 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.041667 | 0 | 0.208333 | 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 |
ebda183d9ae687038f19ffe815f5ccbfc5935c5a | 1,323 | py | Python | ssht00ls/classes/connections/__init__.py | vandenberghinc/ssht00ls | e08081773c8da7dfac0764170bfeacb4bf421ec1 | [
"CNRI-Python"
] | 5 | 2021-02-18T17:46:39.000Z | 2021-12-29T15:48:07.000Z | ssht00ls/classes/connections/__init__.py | vandenberghinc/ssht00ls | e08081773c8da7dfac0764170bfeacb4bf421ec1 | [
"CNRI-Python"
] | null | null | null | ssht00ls/classes/connections/__init__.py | vandenberghinc/ssht00ls | e08081773c8da7dfac0764170bfeacb4bf421ec1 | [
"CNRI-Python"
] | 2 | 2021-03-19T14:06:20.000Z | 2021-09-26T14:08:34.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# imports.
from ssht00ls.classes.config import *
from ssht00ls.classes import utils
# the ssh connections object class.
class Connections(Traceback):
def __init__(self):
# docs.
DOCS = {
"module":"ssht00ls.connections",
"initialized":True,
"description"... | 28.76087 | 118 | 0.665911 | 155 | 1,323 | 5.529032 | 0.522581 | 0.060677 | 0.070012 | 0.060677 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020833 | 0.165533 | 1,323 | 45 | 119 | 29.4 | 0.755435 | 0.092971 | 0 | 0 | 0 | 0.033333 | 0.307305 | 0.079765 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.233333 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebde515b95808947b4370dd040bc2675c00b8d5a | 907 | py | Python | ycyc/tests/__init__.py | MrLYC/ycyc | 1938493294fbad3a461cc3a752c5385d30a6e51d | [
"MIT"
] | 22 | 2015-07-21T03:15:36.000Z | 2021-02-23T07:58:03.000Z | ycyc/tests/__init__.py | MrLYC/ycyc | 1938493294fbad3a461cc3a752c5385d30a6e51d | [
"MIT"
] | 3 | 2016-03-20T12:06:07.000Z | 2018-01-16T10:34:19.000Z | ycyc/tests/__init__.py | MrLYC/ycyc | 1938493294fbad3a461cc3a752c5385d30a6e51d | [
"MIT"
] | 3 | 2015-05-08T00:55:38.000Z | 2017-02-25T03:30:14.000Z | #!/usr/bin/env python
# encoding: utf-8
from contextlib import contextmanager
import mock
__author__ = 'Liu Yicong'
__email__ = 'imyikong@gmail.com'
@contextmanager
def mock_patches(*patches, **named_patches):
"""
A context manager to help create mock patches.
>>> with mock_patches("package.module.cls"... | 24.513514 | 77 | 0.62183 | 115 | 907 | 4.765217 | 0.486957 | 0.120438 | 0.058394 | 0.080292 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005764 | 0.23484 | 907 | 36 | 78 | 25.194444 | 0.783862 | 0.261301 | 0 | 0 | 0 | 0 | 0.045242 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.095238 | 0 | 0.142857 | 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 |
ebe611c4dd602efaddd3352116b777a3b429c7f6 | 16,830 | py | Python | sdkcore/SdkCoreTesting/scripts/arsdkgenobjc.py | papachuj/groundsdk-ios | f205f75b11a57f49b39ee558b2e8e39f59a15963 | [
"BSD-3-Clause"
] | 2 | 2020-03-30T00:06:43.000Z | 2021-07-18T18:07:15.000Z | sdkcore/SdkCoreTesting/scripts/arsdkgenobjc.py | papachuj/groundsdk-ios | f205f75b11a57f49b39ee558b2e8e39f59a15963 | [
"BSD-3-Clause"
] | null | null | null | sdkcore/SdkCoreTesting/scripts/arsdkgenobjc.py | papachuj/groundsdk-ios | f205f75b11a57f49b39ee558b2e8e39f59a15963 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import sys, os
import arsdkparser
#===============================================================================
class Writer(object):
def __init__(self, fileobj):
self.fileobj = fileobj
def write(self, fmt, *args):
if args:
self.fileobj.write(fmt % (args)... | 39.048724 | 128 | 0.57148 | 2,090 | 16,830 | 4.396172 | 0.091388 | 0.096648 | 0.06367 | 0.037005 | 0.732695 | 0.666086 | 0.602743 | 0.555181 | 0.512407 | 0.450044 | 0 | 0.00683 | 0.251812 | 16,830 | 430 | 129 | 39.139535 | 0.72284 | 0.043791 | 0 | 0.45045 | 0 | 0 | 0.157878 | 0.026365 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075075 | false | 0 | 0.03003 | 0.015015 | 0.168168 | 0.003003 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ebe8666cf6e33ea8f8a62d695ff363e1865d7f05 | 4,998 | py | Python | game.py | TheAmmiR/snake-game | 7a95a36c1ef7c0e9064bad3976f14b25bdb19f2a | [
"MIT"
] | null | null | null | game.py | TheAmmiR/snake-game | 7a95a36c1ef7c0e9064bad3976f14b25bdb19f2a | [
"MIT"
] | null | null | null | game.py | TheAmmiR/snake-game | 7a95a36c1ef7c0e9064bad3976f14b25bdb19f2a | [
"MIT"
] | null | null | null | import numpy
import pygame
import random
from pygame import gfxdraw
pygame.init()
config_instance = open('settings.txt', 'r', encoding = 'utf-8')
class Settings:
def __init__(self, settings: dict):
def str_to_rgb(sequence):
r, g, b = sequence.split(' ')
r, g, b = int(r), int(g), int(b)
if (any([r not in r... | 33.543624 | 146 | 0.652461 | 772 | 4,998 | 4.130829 | 0.178756 | 0.118532 | 0.047037 | 0.027595 | 0.343995 | 0.240201 | 0.207275 | 0.158984 | 0.158984 | 0.158984 | 0 | 0.02553 | 0.169268 | 4,998 | 149 | 147 | 33.543624 | 0.742534 | 0.014606 | 0 | 0.121951 | 0 | 0 | 0.08352 | 0.009754 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073171 | false | 0 | 0.03252 | 0 | 0.138211 | 0.01626 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ccd7c7cddab93c97ea1df7fdefa52d6f4a71efc0 | 484 | py | Python | static/python/demo.py | Nota-Bene/Nota-Bene.github.io | 57c0a25176627263bb9403e8f660d36cffa9882b | [
"MIT"
] | null | null | null | static/python/demo.py | Nota-Bene/Nota-Bene.github.io | 57c0a25176627263bb9403e8f660d36cffa9882b | [
"MIT"
] | null | null | null | static/python/demo.py | Nota-Bene/Nota-Bene.github.io | 57c0a25176627263bb9403e8f660d36cffa9882b | [
"MIT"
] | null | null | null | import time
import random
def parse(input):
tokens = input.split(" ")
parsedTokens = []
time.sleep(5)
for i in range(200000):
test = random.randint(1, 8) + random.randint(-4, 90)
for token in tokens:
if token == "":
continue
parsedTokens.append({
"text": token,
"lemma": token,
... | 23.047619 | 64 | 0.60124 | 59 | 484 | 4.932203 | 0.694915 | 0.089347 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036011 | 0.254132 | 484 | 20 | 65 | 24.2 | 0.770083 | 0 | 0 | 0 | 0 | 0 | 0.204545 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 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 |
ccdb25e847708f6452a1e362c123c06d0c2c27e2 | 2,961 | py | Python | pytorch/torchnet.py | sjliu68/Remote-Sensing-Image-Classification | 9bd5ec28380961c9e66288dd75c998425622043e | [
"MIT"
] | 32 | 2020-09-10T12:54:09.000Z | 2022-03-21T08:55:29.000Z | pytorch/torchnet.py | sjliu68/Remote-Sensing-Image-Classification | 9bd5ec28380961c9e66288dd75c998425622043e | [
"MIT"
] | null | null | null | pytorch/torchnet.py | sjliu68/Remote-Sensing-Image-Classification | 9bd5ec28380961c9e66288dd75c998425622043e | [
"MIT"
] | 19 | 2020-08-10T10:16:47.000Z | 2022-02-17T06:52:14.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 6 10:07:13 2020
@author: sjliu.me@gmail.com
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
class wcrn(nn.Module):
def __init__(self, num_classes=9):
super(wcrn, self).__init__()
self.conv1a = nn.Conv2d(103,64,... | 32.538462 | 83 | 0.55049 | 440 | 2,961 | 3.625 | 0.190909 | 0.075235 | 0.087774 | 0.074608 | 0.602508 | 0.576176 | 0.488401 | 0.399373 | 0.399373 | 0.355486 | 0 | 0.121622 | 0.300236 | 2,961 | 90 | 84 | 32.9 | 0.648166 | 0.07126 | 0 | 0.229508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0 | 0.04918 | 0 | 0.180328 | 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 |
ccdd4e7946bbbb66bc7ecddf26b85179c631159d | 1,012 | py | Python | rpmreq/actions.py | softwarefactory-project/rpmreq | b9b30cf6a184929db23ac86c8cc037592ee8b6be | [
"Apache-2.0"
] | null | null | null | rpmreq/actions.py | softwarefactory-project/rpmreq | b9b30cf6a184929db23ac86c8cc037592ee8b6be | [
"Apache-2.0"
] | null | null | null | rpmreq/actions.py | softwarefactory-project/rpmreq | b9b30cf6a184929db23ac86c8cc037592ee8b6be | [
"Apache-2.0"
] | 1 | 2019-03-10T10:07:04.000Z | 2019-03-10T10:07:04.000Z | import hawkey
import logging
from rpmreq import graph
from rpmreq import query
log = logging.getLogger(__name__)
def build_requires(specs, repos, base_repos=None,
out_data=None, out_image=None,
cache_ttl=3600):
dep_graph = graph.build_requires_graph(
specs=specs, r... | 27.351351 | 57 | 0.666008 | 137 | 1,012 | 4.649635 | 0.350365 | 0.087912 | 0.065934 | 0.050235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005355 | 0.261858 | 1,012 | 36 | 58 | 28.111111 | 0.84739 | 0.197628 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.190476 | 0 | 0.380952 | 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 |
ccde37610c8f0bf0da8d0c2c4fba8732e91c7b0e | 1,033 | py | Python | app/utils/path_utils.py | Tim-ty-tang/mlflow-fastapi-deploy | c8884a0462fc9f1ce3aa47f9d000af2bffa82123 | [
"MIT"
] | null | null | null | app/utils/path_utils.py | Tim-ty-tang/mlflow-fastapi-deploy | c8884a0462fc9f1ce3aa47f9d000af2bffa82123 | [
"MIT"
] | null | null | null | app/utils/path_utils.py | Tim-ty-tang/mlflow-fastapi-deploy | c8884a0462fc9f1ce3aa47f9d000af2bffa82123 | [
"MIT"
] | null | null | null | from mlflow.tracking import MlflowClient
from urllib.parse import urlparse
def get_prod_path_mlflow_model_mlflow_query(model_name, version, new_bucket, new_path):
client = MlflowClient()
artifact_path_original = None
for mv in client.search_model_versions(f"name='{model_name}'"):
if mv.version == ... | 38.259259 | 110 | 0.693127 | 140 | 1,033 | 4.714286 | 0.3 | 0.084848 | 0.127273 | 0.072727 | 0.369697 | 0.369697 | 0.221212 | 0.124242 | 0.124242 | 0.124242 | 0 | 0.002378 | 0.185866 | 1,033 | 26 | 111 | 39.730769 | 0.782402 | 0 | 0 | 0.105263 | 0 | 0 | 0.213385 | 0.1387 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.105263 | 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 |
ccde416df2e474e2d91671ed935f8eaa2f12d8eb | 5,350 | py | Python | 25h8_service.py | openprocurement/robot_tests.broker.25h8 | 619ffd180a8f051ef46d62767d54f4796baa122c | [
"Apache-2.0"
] | null | null | null | 25h8_service.py | openprocurement/robot_tests.broker.25h8 | 619ffd180a8f051ef46d62767d54f4796baa122c | [
"Apache-2.0"
] | 1 | 2017-12-18T13:44:01.000Z | 2017-12-18T13:44:01.000Z | 25h8_service.py | openprocurement/robot_tests.broker.25h8 | 619ffd180a8f051ef46d62767d54f4796baa122c | [
"Apache-2.0"
] | 3 | 2018-06-11T10:30:05.000Z | 2019-08-07T07:55:40.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
from datetime import datetime, timedelta
from iso8601 import parse_date
from pytz import timezone
import urllib
import json
import os
def convert_time(date):
date = datetime.strptime(date, "%d/%m/%Y %H:%M:%S")
return timezone('Europe/Kiev').localize(date).strftime('%... | 37.152778 | 114 | 0.629533 | 697 | 5,350 | 4.677188 | 0.308465 | 0.067485 | 0.064417 | 0.053988 | 0.328221 | 0.240798 | 0.184356 | 0.136503 | 0.112577 | 0.112577 | 0 | 0.017294 | 0.200187 | 5,350 | 144 | 115 | 37.152778 | 0.744566 | 0.007103 | 0 | 0.13913 | 0 | 0 | 0.281868 | 0.04067 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113043 | false | 0 | 0.052174 | 0.017391 | 0.278261 | 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 |
cce181f9f38d4d3c462cfc4fd68ac4c8d8aebe76 | 6,574 | py | Python | connect_four.py | seanstappas/dynamic-connect-4 | f6106f71ac8779513cd80a2f46397bb778e21018 | [
"MIT"
] | 1 | 2020-08-21T03:05:08.000Z | 2020-08-21T03:05:08.000Z | connect_four.py | seanstappas/dynamic-connect-4 | f6106f71ac8779513cd80a2f46397bb778e21018 | [
"MIT"
] | null | null | null | connect_four.py | seanstappas/dynamic-connect-4 | f6106f71ac8779513cd80a2f46397bb778e21018 | [
"MIT"
] | null | null | null | from __future__ import print_function
NUM_ROWS = 7
NUM_COLS = 7
DIRECTIONS = ('E', 'W', 'N', 'S')
MOVEMENT_DIFFS = {
'N': (0, -1),
'S': (0, 1),
'E': (1, 0),
'W': (-1, 0)
}
X_MOVEMENT_DIFFS = {
'N': 0,
'S': 0,
'E': 1,
'W': -1
}
Y_MOVEMENT_DIFFS = {
'N': -1,
'S': 1,
'E': 0,
... | 29.479821 | 119 | 0.605872 | 979 | 6,574 | 3.95097 | 0.117467 | 0.04757 | 0.033609 | 0.027921 | 0.505946 | 0.441313 | 0.400982 | 0.33635 | 0.307135 | 0.295502 | 0 | 0.012102 | 0.283541 | 6,574 | 222 | 120 | 29.612613 | 0.80913 | 0.434134 | 0 | 0.111111 | 0 | 0 | 0.009868 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.131313 | false | 0 | 0.010101 | 0 | 0.292929 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cce3bf69f8b9a7979f41b539d693ed801301a438 | 3,781 | py | Python | pyampute/tests/test_mapping.py | RianneSchouten/pyampute | 98de0d5591546f958b0106217f60df92dc00fbb9 | [
"BSD-3-Clause"
] | 3 | 2022-02-14T02:02:23.000Z | 2022-02-20T09:52:41.000Z | pyampute/tests/test_mapping.py | flacle/pyampute | 8785f62c52a762dfc3113abe3610ba4893ef5f4b | [
"BSD-3-Clause"
] | 24 | 2022-01-26T15:42:13.000Z | 2022-03-12T15:49:56.000Z | pyampute/tests/test_mapping.py | flacle/pyampute | 8785f62c52a762dfc3113abe3610ba4893ef5f4b | [
"BSD-3-Clause"
] | 1 | 2022-02-15T19:15:42.000Z | 2022-02-15T19:15:42.000Z | import numpy as np
import pandas as pd
import unittest
from pyampute.ampute import MultivariateAmputation
from pyampute.exploration.md_patterns import mdPatterns
class TestMapping(unittest.TestCase):
'''
This class tests the example code in the blogpost "A mapping from R-function ampute to pyampute"
'''
... | 31.773109 | 100 | 0.539275 | 420 | 3,781 | 4.702381 | 0.242857 | 0.113418 | 0.060759 | 0.06481 | 0.508354 | 0.503797 | 0.444557 | 0.351392 | 0.351392 | 0.351392 | 0 | 0.051056 | 0.311029 | 3,781 | 118 | 101 | 32.042373 | 0.707102 | 0.02539 | 0 | 0.359551 | 0 | 0 | 0.126465 | 0 | 0 | 0 | 0 | 0 | 0.123596 | 1 | 0.05618 | false | 0 | 0.05618 | 0 | 0.123596 | 0.011236 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cce90a7d4c65cdb80621e7e28495129d068861f2 | 2,092 | py | Python | Synchro-Update-Vols.py | Apoorb/HCS_Synchro-Reader | d89428069584f420d584e2011a5cf21cd0a51f8b | [
"MIT"
] | null | null | null | Synchro-Update-Vols.py | Apoorb/HCS_Synchro-Reader | d89428069584f420d584e2011a5cf21cd0a51f8b | [
"MIT"
] | null | null | null | Synchro-Update-Vols.py | Apoorb/HCS_Synchro-Reader | d89428069584f420d584e2011a5cf21cd0a51f8b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 30 10:02:36 2019
@author: abibeka
Purpose: Batch update synchro volumes
"""
# 0.0 Housekeeping. Clear variable space
#******************************************************************************************
from IPython import get_ipython #run magic commands
ipython =... | 31.223881 | 110 | 0.663002 | 273 | 2,092 | 5.058608 | 0.494505 | 0.055033 | 0.066618 | 0.098479 | 0.128168 | 0.026068 | 0 | 0 | 0 | 0 | 0 | 0.049397 | 0.167782 | 2,092 | 66 | 111 | 31.69697 | 0.743825 | 0.25 | 0 | 0.051282 | 0 | 0.025641 | 0.137864 | 0.062136 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.128205 | 0 | 0.153846 | 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 |
ccea292c2e611183f7753e3277974ac6da80216f | 5,695 | py | Python | matplotlib.indigoPlugin/Contents/Server Plugin/chart_multiline.py | DaveL17/matplotlib | 857daf4222390d021defb87b57c3360fa12af5ab | [
"MIT"
] | 4 | 2017-08-27T16:53:56.000Z | 2022-03-27T10:48:02.000Z | matplotlib.indigoPlugin/Contents/Server Plugin/chart_multiline.py | DaveL17/matplotlib | 857daf4222390d021defb87b57c3360fa12af5ab | [
"MIT"
] | 3 | 2019-01-30T20:04:00.000Z | 2021-06-21T02:11:17.000Z | matplotlib.indigoPlugin/Contents/Server Plugin/chart_multiline.py | DaveL17/matplotlib | 857daf4222390d021defb87b57c3360fa12af5ab | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Creates the multiline text charts
Given the unique nature of multiline text charts, we use a separate method
to construct them.
-----
"""
# Built-in Modules
import pickle
import sys
import textwrap
import traceback
# Third-party Modules
# Note the order and structu... | 33.5 | 114 | 0.545391 | 666 | 5,695 | 4.537538 | 0.37988 | 0.028127 | 0.029782 | 0.021178 | 0.121774 | 0.121774 | 0.104567 | 0.104567 | 0.085374 | 0.085374 | 0 | 0.012881 | 0.332046 | 5,695 | 169 | 115 | 33.698225 | 0.781546 | 0.231958 | 0 | 0.126214 | 0 | 0 | 0.139442 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019417 | false | 0.009709 | 0.07767 | 0 | 0.106796 | 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 |
cceb89993da7a1b69dbd4927d78012815ff5b4de | 1,814 | py | Python | sdks/apigw-manager/tests/apigw_manager/apigw/test_command.py | IMBlues/bkpaas-python-sdk | a87bee3d26f0ddeac124c7a4679cd3eff4abb8fc | [
"MIT"
] | 17 | 2021-08-03T03:15:35.000Z | 2022-03-18T06:10:04.000Z | sdks/apigw-manager/tests/apigw_manager/apigw/test_command.py | piglei/bkpaas-python-sdk | 3dfea8be5702ccea1228691c6c1c3e87a27238d2 | [
"MIT"
] | 7 | 2021-08-03T07:10:12.000Z | 2022-03-23T04:47:22.000Z | sdks/apigw-manager/tests/apigw_manager/apigw/test_command.py | piglei/bkpaas-python-sdk | 3dfea8be5702ccea1228691c6c1c3e87a27238d2 | [
"MIT"
] | 9 | 2021-08-03T03:20:36.000Z | 2022-03-08T13:47:50.000Z | # -*- coding: utf-8 -*-
"""
* TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-蓝鲸 PaaS 平台(BlueKing-PaaS) available.
* Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
* Licensed under the MIT License (the "License"); you may not use this file except in co... | 37.791667 | 118 | 0.711136 | 242 | 1,814 | 5.243802 | 0.5 | 0.038613 | 0.023641 | 0.025217 | 0.189125 | 0.137116 | 0.096139 | 0.096139 | 0.096139 | 0.096139 | 0 | 0.010316 | 0.198456 | 1,814 | 47 | 119 | 38.595745 | 0.862448 | 0.400772 | 0 | 0.153846 | 0 | 0 | 0.028918 | 0 | 0 | 0 | 0 | 0 | 0.307692 | 1 | 0.192308 | false | 0 | 0.076923 | 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 |
ccedbc549ffc192d24b74e12a04695a4d740a2b9 | 1,409 | py | Python | sources/base.py | chenders/hours | 878e0fa57ad4810851fd2bab529e7e1525cf9fbb | [
"MIT"
] | null | null | null | sources/base.py | chenders/hours | 878e0fa57ad4810851fd2bab529e7e1525cf9fbb | [
"MIT"
] | 6 | 2015-01-28T00:48:39.000Z | 2015-01-28T00:51:48.000Z | sources/base.py | chenders/hours | 878e0fa57ad4810851fd2bab529e7e1525cf9fbb | [
"MIT"
] | null | null | null | import pytz
from datetime import timedelta
from dateutil import parser
from django.utils.text import Truncator
from django.db import IntegrityError
from core.models import Data
class HoursDataSource(object):
def __init__(self, start_date, end_date):
self.entries = []
self.start_date = start_date
... | 31.311111 | 76 | 0.648687 | 190 | 1,409 | 4.536842 | 0.3 | 0.114849 | 0.092807 | 0.097448 | 0.408353 | 0.408353 | 0.38051 | 0.38051 | 0.38051 | 0.38051 | 0 | 0.000978 | 0.274663 | 1,409 | 44 | 77 | 32.022727 | 0.842466 | 0.018453 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.171429 | false | 0.028571 | 0.171429 | 0.057143 | 0.485714 | 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 |
ccf0191c3e20264408fdd3e37fe77537c8aef935 | 7,725 | py | Python | tests/datastructures_tests/intensity_data_test.py | czbiohub/reconstruct-order | e729ae3871aea0a5ec2d42744a9448c7f0a93037 | [
"Unlicense"
] | 6 | 2019-10-30T23:00:01.000Z | 2021-03-02T19:09:07.000Z | tests/datastructures_tests/intensity_data_test.py | czbiohub/ReconstructOrder | e729ae3871aea0a5ec2d42744a9448c7f0a93037 | [
"Unlicense"
] | 14 | 2019-07-08T22:51:29.000Z | 2019-07-13T15:44:01.000Z | tests/datastructures_tests/intensity_data_test.py | mehta-lab/reconstruct-order | e729ae3871aea0a5ec2d42744a9448c7f0a93037 | [
"Unlicense"
] | 2 | 2020-05-02T23:28:36.000Z | 2020-07-16T23:46:46.000Z | import numpy as np
import pytest
from numpy.testing import assert_array_equal
from ReconstructOrder.datastructures.intensity_data import IntensityData
# ==== test basic construction =====
def test_basic_constructor_nparray():
"""
test assignment using numpy arrays
"""
int_data = IntensityData()
... | 24.759615 | 77 | 0.655016 | 1,159 | 7,725 | 4.099223 | 0.11648 | 0.129657 | 0.06567 | 0.090928 | 0.669964 | 0.615028 | 0.571248 | 0.520732 | 0.428962 | 0.412334 | 0 | 0.03838 | 0.207379 | 7,725 | 311 | 78 | 24.839228 | 0.737547 | 0.13178 | 0 | 0.52439 | 0 | 0 | 0.013616 | 0 | 0 | 0 | 0 | 0 | 0.170732 | 1 | 0.121951 | false | 0 | 0.02439 | 0 | 0.146341 | 0.012195 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ccf118cf4e661c54ae6e3a8fa5192d55fe0bbd47 | 1,722 | py | Python | configs/mario_pg_config.py | Shiien/verify_rl_torch | 45866609ac55fcf99aaaa89df94573acf35580d2 | [
"MIT"
] | 1 | 2022-03-22T14:59:01.000Z | 2022-03-22T14:59:01.000Z | configs/mario_pg_config.py | Shiien/verify_rl_torch | 45866609ac55fcf99aaaa89df94573acf35580d2 | [
"MIT"
] | null | null | null | configs/mario_pg_config.py | Shiien/verify_rl_torch | 45866609ac55fcf99aaaa89df94573acf35580d2 | [
"MIT"
] | null | null | null | import torch
class MarioConfig:
def __init__(self):
# hyper config
self.max_num_gpus = 1
self.num_workers = 32
self.discount = 0.999
self.observation_space = (84, 84, 3)
self.action_space = 256 + 20 + 8
import os
import datetime
self.results... | 43.05 | 119 | 0.624855 | 243 | 1,722 | 4.283951 | 0.539095 | 0.038425 | 0.03074 | 0.040346 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039216 | 0.289199 | 1,722 | 39 | 120 | 44.153846 | 0.811275 | 0.348432 | 0 | 0 | 0 | 0 | 0.028959 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.107143 | 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 |
ccf122ab24b6c118407351673ac8790f51122e47 | 505 | py | Python | 31-100/31-40/34.py | higee/project_euler | 2ecdefb6e4a588f50cea47321c88ee7c7ac28110 | [
"MIT"
] | null | null | null | 31-100/31-40/34.py | higee/project_euler | 2ecdefb6e4a588f50cea47321c88ee7c7ac28110 | [
"MIT"
] | null | null | null | 31-100/31-40/34.py | higee/project_euler | 2ecdefb6e4a588f50cea47321c88ee7c7ac28110 | [
"MIT"
] | null | null | null | def fac(n):
if n in [0, 1]:
return 1
else:
return n * fac(n-1)
def sum_of_the_factorial_of_their_digits(n):
fac_of_the_digits = [fac_dic[int(x)] for x in str(n)]
return sum(fac_of_the_digits)
def main():
for n in range(10, 2540161):
if n == sum_of_the_fac... | 21.041667 | 57 | 0.584158 | 85 | 505 | 3.129412 | 0.352941 | 0.075188 | 0.037594 | 0.12782 | 0.330827 | 0.233083 | 0.233083 | 0.233083 | 0 | 0 | 0 | 0.042493 | 0.30099 | 505 | 23 | 58 | 21.956522 | 0.711048 | 0 | 0 | 0 | 0 | 0 | 0.015842 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0 | 0 | 0.352941 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ccf2d7d2d0ffc342a84d86056b65cf383d097b4c | 7,638 | py | Python | audio_processing.py | poria-cat/Transformer-TTS-Pytorch | 1e9e2dccc16c17372bf86ca73001f76645f53338 | [
"MIT"
] | null | null | null | audio_processing.py | poria-cat/Transformer-TTS-Pytorch | 1e9e2dccc16c17372bf86ca73001f76645f53338 | [
"MIT"
] | null | null | null | audio_processing.py | poria-cat/Transformer-TTS-Pytorch | 1e9e2dccc16c17372bf86ca73001f76645f53338 | [
"MIT"
] | null | null | null | import torch
import torch.nn.functional as F
import torchaudio
import numpy as np
from scipy.signal import get_window
from librosa.util import pad_center, tiny
from librosa.filters import window_sumsquare
from librosa.filters import mel as librosa_mel_fn
def get_mel_basis(sampling_rate=22050, filter_length=1024, n_m... | 40.2 | 161 | 0.660775 | 995 | 7,638 | 4.776884 | 0.18593 | 0.070692 | 0.034715 | 0.019987 | 0.366716 | 0.337892 | 0.253103 | 0.253103 | 0.229118 | 0.202188 | 0 | 0.02497 | 0.234485 | 7,638 | 189 | 162 | 40.412698 | 0.787925 | 0.052893 | 0 | 0.171642 | 0 | 0 | 0.005452 | 0 | 0 | 0 | 0 | 0 | 0.022388 | 1 | 0.089552 | false | 0 | 0.059701 | 0 | 0.246269 | 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 |
ccf38eaa3eb535456d8a6a2a6262774cda8e86a7 | 13,771 | bzl | Python | toolchain/ndk_cc_toolchain_config.bzl | jbeich/skcms | 9c30a95f0f167ee1513e5a1ea6846b15a010385c | [
"BSD-3-Clause"
] | null | null | null | toolchain/ndk_cc_toolchain_config.bzl | jbeich/skcms | 9c30a95f0f167ee1513e5a1ea6846b15a010385c | [
"BSD-3-Clause"
] | null | null | null | toolchain/ndk_cc_toolchain_config.bzl | jbeich/skcms | 9c30a95f0f167ee1513e5a1ea6846b15a010385c | [
"BSD-3-Clause"
] | null | null | null | """This module defines the ndk_cc_toolchain_config rule.
This file is based on the `external/androidndk/cc_toolchain_config.bzl` file produced by the
built-in `android_ndk_repository` Bazel rule[1], which was used to build the SkCMS repository up
until this revision[2].
The paths in this file point to locations insid... | 34.002469 | 188 | 0.559872 | 1,435 | 13,771 | 5.075261 | 0.192334 | 0.023067 | 0.032953 | 0.030757 | 0.542634 | 0.430729 | 0.397226 | 0.312097 | 0.25992 | 0.224495 | 0 | 0.020979 | 0.325031 | 13,771 | 404 | 189 | 34.086634 | 0.762561 | 0.085542 | 0 | 0.544199 | 0 | 0.002762 | 0.252941 | 0.16876 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024862 | false | 0 | 0 | 0 | 0.071823 | 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 |
ccf57840058ae1e39f456a4f292c8353027f974d | 7,149 | py | Python | VirtualJudgeSpider/OJs/HDUClass.py | mr-kkid/OnlineJudgeSpider | c83c01d8e989ae87834bdabdb3fae0984eae2eaa | [
"MIT"
] | null | null | null | VirtualJudgeSpider/OJs/HDUClass.py | mr-kkid/OnlineJudgeSpider | c83c01d8e989ae87834bdabdb3fae0984eae2eaa | [
"MIT"
] | null | null | null | VirtualJudgeSpider/OJs/HDUClass.py | mr-kkid/OnlineJudgeSpider | c83c01d8e989ae87834bdabdb3fae0984eae2eaa | [
"MIT"
] | null | null | null | import re
from http import cookiejar
from urllib import request, parse
from bs4 import BeautifulSoup
from VirtualJudgeSpider import Config
from VirtualJudgeSpider.Config import Problem, Spider, Result
from VirtualJudgeSpider.OJs.BaseClass import Base
class HDU(Base):
def __init__(self):
self.code_type =... | 41.807018 | 120 | 0.55854 | 886 | 7,149 | 4.371332 | 0.188488 | 0.011877 | 0.03718 | 0.033566 | 0.458559 | 0.389362 | 0.356829 | 0.306739 | 0.281694 | 0.253034 | 0 | 0.007331 | 0.294027 | 7,149 | 170 | 121 | 42.052941 | 0.760055 | 0 | 0 | 0.322148 | 0 | 0.013423 | 0.168135 | 0.065324 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087248 | false | 0.013423 | 0.04698 | 0.006711 | 0.295302 | 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 |
ccf57bf381b881ac46ecdef94c8bf2a01ef756ae | 705 | py | Python | onlineJudge/baekjoon/DFS/Q2667.py | dahyeong-yun/prtc_coding-test-py | f082e42cc47d7da912bd229b355a813f2d38fabb | [
"MIT"
] | null | null | null | onlineJudge/baekjoon/DFS/Q2667.py | dahyeong-yun/prtc_coding-test-py | f082e42cc47d7da912bd229b355a813f2d38fabb | [
"MIT"
] | null | null | null | onlineJudge/baekjoon/DFS/Q2667.py | dahyeong-yun/prtc_coding-test-py | f082e42cc47d7da912bd229b355a813f2d38fabb | [
"MIT"
] | null | null | null | ''' 입력 '''
n = int(input()) # 지도의 크기
square_map = []
for i in range(n):
square_map.append(list(map(int, input())))
''' 입력 '''
_house_count = 0
house = []
bundle = 0
def dfx(x, y):
global _house_count
if x <= -1 or x >= n or y <= -1 or y >= n:
return False
if square_map[x][y] == 1:
... | 16.022727 | 46 | 0.486525 | 114 | 705 | 2.885965 | 0.289474 | 0.151976 | 0.054711 | 0.066869 | 0.12462 | 0.051672 | 0.051672 | 0 | 0 | 0 | 0 | 0.028889 | 0.361702 | 705 | 44 | 47 | 16.022727 | 0.702222 | 0.015603 | 0 | 0.206897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0 | 0 | 0.137931 | 0.068966 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ccf684f8b04fadc89a621f3af0e959e3165d4fdf | 1,530 | py | Python | queue_task/views.py | emoryBlame/queue_server | 946345111359d5001244eb0cc8fd1b8acc50dd3f | [
"MIT"
] | null | null | null | queue_task/views.py | emoryBlame/queue_server | 946345111359d5001244eb0cc8fd1b8acc50dd3f | [
"MIT"
] | 7 | 2020-02-11T23:41:11.000Z | 2022-01-13T01:04:03.000Z | queue_task/views.py | emoryBlame/queue_server | 946345111359d5001244eb0cc8fd1b8acc50dd3f | [
"MIT"
] | null | null | null | from django.shortcuts import render
from .models import Task
from rest_framework import serializers
from rest_framework.response import Response
from rest_framework.decorators import api_view
# Create your views here.
class TaskSerializer(serializers.ModelSerializer):
"""
Task serializer class
"""
class Meta:
"... | 23.90625 | 110 | 0.698693 | 200 | 1,530 | 5.265 | 0.365 | 0.093067 | 0.048433 | 0.032289 | 0.160494 | 0.043685 | 0 | 0 | 0 | 0 | 0 | 0.003091 | 0.154248 | 1,530 | 63 | 111 | 24.285714 | 0.810665 | 0.060131 | 0 | 0.285714 | 0 | 0 | 0.154119 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.119048 | 0 | 0.452381 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ccf716c91df18440671ec6222d7ac8edd7636308 | 6,275 | py | Python | dispotrains.webapp/src/analysis/all_stations.py | emembrives/dispotrains | 6ef69d4a62d60a470ed6fd96d04e47d29a0ae44f | [
"Apache-2.0"
] | 1 | 2016-11-12T01:16:32.000Z | 2016-11-12T01:16:32.000Z | dispotrains.webapp/src/analysis/all_stations.py | emembrives/dispotrains | 6ef69d4a62d60a470ed6fd96d04e47d29a0ae44f | [
"Apache-2.0"
] | null | null | null | dispotrains.webapp/src/analysis/all_stations.py | emembrives/dispotrains | 6ef69d4a62d60a470ed6fd96d04e47d29a0ae44f | [
"Apache-2.0"
] | 2 | 2016-05-20T21:04:15.000Z | 2020-02-02T15:25:40.000Z | #!/bin/env python3
"""
Extracts all metro and RER stations from an OSM dump.
"""
import xml.etree.cElementTree as ET
import argparse
import csv
from math import radians, cos, sin, asin, sqrt
class Station(object):
"""A train station"""
def __init__(self, name, osm_id, lat, lon, accessible=False):
self... | 32.179487 | 94 | 0.629163 | 774 | 6,275 | 4.901809 | 0.289406 | 0.011861 | 0.017923 | 0.014233 | 0.056932 | 0.02214 | 0 | 0 | 0 | 0 | 0 | 0.064649 | 0.262948 | 6,275 | 194 | 95 | 32.345361 | 0.755676 | 0.138805 | 0 | 0.077465 | 0 | 0 | 0.046547 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147887 | false | 0 | 0.028169 | 0.021127 | 0.316901 | 0.021127 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ccf73deff0cd7b3da75f4fe279624fa28407626b | 493 | py | Python | scripts/insert_plots.py | hamzaMahdi/sphero_formation | 71dd4a8097c578f9237ed1f65e3debdcc3a8cc5b | [
"MIT"
] | null | null | null | scripts/insert_plots.py | hamzaMahdi/sphero_formation | 71dd4a8097c578f9237ed1f65e3debdcc3a8cc5b | [
"MIT"
] | null | null | null | scripts/insert_plots.py | hamzaMahdi/sphero_formation | 71dd4a8097c578f9237ed1f65e3debdcc3a8cc5b | [
"MIT"
] | 1 | 2019-11-06T21:27:51.000Z | 2019-11-06T21:27:51.000Z | # note : this does not create the link between the map and the world. It only spawns the robots.
# Please make sure to go back and manually add the path to the bitmap file
file_name = 'plots.txt'
f = open("../new_results/" + file_name, "w+")
counter = 1
for i in range(1, 10):
for j in range(1, 6):
f.write('... | 35.214286 | 102 | 0.622718 | 85 | 493 | 3.552941 | 0.694118 | 0.05298 | 0.05298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028947 | 0.229209 | 493 | 13 | 103 | 37.923077 | 0.765789 | 0.338742 | 0 | 0 | 0 | 0.1 | 0.318885 | 0.229102 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ccf80cabc3a7e5b0b42749bb4a83f5a36f41004c | 5,615 | py | Python | lib/aquilon/worker/formats/entitlement.py | ned21/aquilon | 6562ea0f224cda33b72a6f7664f48d65f96bd41a | [
"Apache-2.0"
] | 7 | 2015-07-31T05:57:30.000Z | 2021-09-07T15:18:56.000Z | lib/aquilon/worker/formats/entitlement.py | ned21/aquilon | 6562ea0f224cda33b72a6f7664f48d65f96bd41a | [
"Apache-2.0"
] | 115 | 2015-03-03T13:11:46.000Z | 2021-09-20T12:42:24.000Z | lib/aquilon/worker/formats/entitlement.py | ned21/aquilon | 6562ea0f224cda33b72a6f7664f48d65f96bd41a | [
"Apache-2.0"
] | 13 | 2015-03-03T11:17:59.000Z | 2021-09-09T09:16:41.000Z | # -*- cpy-indent-level: 4; indent-tabs-mode: nil -*-
# ex: set expandtab softtabstop=4 shiftwidth=4:
#
# Copyright (C) 2018-2019 Contributor
#
# 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
#... | 37.18543 | 79 | 0.655565 | 545 | 5,615 | 6.675229 | 0.297248 | 0.074217 | 0.052227 | 0.013469 | 0.279549 | 0.257009 | 0.182243 | 0.133865 | 0 | 0 | 0 | 0.007765 | 0.243099 | 5,615 | 150 | 80 | 37.433333 | 0.848235 | 0.120926 | 0 | 0.448598 | 0 | 0 | 0.067548 | 0.008545 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037383 | false | 0 | 0.018692 | 0 | 0.093458 | 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 |
ccf83380f75272da17e827a8354142f3491d9b15 | 1,618 | py | Python | tests/test_fixture.py | macneiln/py4web | ed50294d650fb466a9a06c26b8f311091b2d0035 | [
"BSD-3-Clause"
] | 133 | 2019-07-24T11:32:34.000Z | 2022-03-25T02:43:55.000Z | tests/test_fixture.py | macneiln/py4web | ed50294d650fb466a9a06c26b8f311091b2d0035 | [
"BSD-3-Clause"
] | 396 | 2019-07-24T06:30:19.000Z | 2022-03-24T07:59:07.000Z | tests/test_fixture.py | macneiln/py4web | ed50294d650fb466a9a06c26b8f311091b2d0035 | [
"BSD-3-Clause"
] | 159 | 2019-07-24T11:32:37.000Z | 2022-03-28T15:17:05.000Z | from types import SimpleNamespace
import pytest
import threading
from py4web.core import Fixture
result = {'seq': []}
def run_thread(func, *a):
t = threading.Thread(target=func, args=a)
return t
class Foo(Fixture):
def on_request(self):
self._safe_local = SimpleNamespace()
@property
de... | 22.164384 | 64 | 0.631644 | 231 | 1,618 | 4.229437 | 0.316017 | 0.04913 | 0.039918 | 0.028659 | 0.030706 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019465 | 0.237948 | 1,618 | 72 | 65 | 22.472222 | 0.772912 | 0.035847 | 0 | 0.037037 | 0 | 0 | 0.039153 | 0 | 0 | 0 | 0 | 0 | 0.12963 | 1 | 0.166667 | false | 0 | 0.074074 | 0.018519 | 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 |
ccf92b8e5eba6aedbf6d4f91a3902a09d0c24f3f | 13,049 | py | Python | Scripts/simulation/objects/components/object_inventory_component.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/objects/components/object_inventory_component.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/objects/components/object_inventory_component.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\objects\components\object_inventory_component.py
# Compiled at: 2020-10-06 03:00:48
# Size of source... | 58.515695 | 486 | 0.683884 | 1,554 | 13,049 | 5.490347 | 0.205277 | 0.02391 | 0.016878 | 0.022152 | 0.185068 | 0.097281 | 0.050164 | 0.024144 | 0.011955 | 0 | 0 | 0.007266 | 0.25113 | 13,049 | 223 | 487 | 58.515695 | 0.865841 | 0.025366 | 0 | 0.221053 | 0 | 0.052632 | 0.266913 | 0.008889 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121053 | false | 0 | 0.078947 | 0.036842 | 0.331579 | 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 |
ccf98db2c183a542430a289ff4949ad327d07cde | 786 | py | Python | sqs_consumer/management/commands/process_queue.py | guilhermebferreira/sqs-consumer | 30e2a636219b7784e43d851570255193e258678d | [
"MIT"
] | null | null | null | sqs_consumer/management/commands/process_queue.py | guilhermebferreira/sqs-consumer | 30e2a636219b7784e43d851570255193e258678d | [
"MIT"
] | null | null | null | sqs_consumer/management/commands/process_queue.py | guilhermebferreira/sqs-consumer | 30e2a636219b7784e43d851570255193e258678d | [
"MIT"
] | null | null | null | from __future__ import absolute_import, unicode_literals
from django.core.management import BaseCommand, CommandError
from sqs_consumer.worker.service import WorkerService
class Command(BaseCommand):
help = 'Command to process tasks from one or more SQS queues'
def add_arguments(self, parser):
pars... | 34.173913 | 95 | 0.667939 | 92 | 786 | 5.521739 | 0.565217 | 0.11811 | 0.066929 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.232824 | 786 | 22 | 96 | 35.727273 | 0.842454 | 0 | 0 | 0 | 0 | 0 | 0.226463 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.214286 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ccfb60a5f0e99b7473379c8b27f4c338be01c980 | 2,222 | py | Python | openpharmacophore/tests/test_zinc.py | dprada/OpenPharmacophore | bfcf4bdafd586b27a48fd5d1f13614707b5e55a8 | [
"MIT"
] | 2 | 2021-07-10T05:56:04.000Z | 2021-08-04T14:56:47.000Z | openpharmacophore/tests/test_zinc.py | dprada/OpenPharmacophore | bfcf4bdafd586b27a48fd5d1f13614707b5e55a8 | [
"MIT"
] | 21 | 2021-04-27T06:05:05.000Z | 2021-11-01T23:19:36.000Z | openpharmacophore/tests/test_zinc.py | dprada/OpenPharmacophore | bfcf4bdafd586b27a48fd5d1f13614707b5e55a8 | [
"MIT"
] | 3 | 2021-06-21T19:09:47.000Z | 2021-07-16T01:16:27.000Z | from openpharmacophore.databases.zinc import get_zinc_urls, discretize_values
import pytest
@pytest.mark.parametrize("subset,mol_weight,logp,format", [
("Drug-Like", None, None, "smi"),
(None, (250, 350), (-1, 1), "smi"),
(None, (365, 415), (1.5, 2.25), "smi"),
("Drug-Like", None, None, "sdf"),
(No... | 35.83871 | 83 | 0.564806 | 311 | 2,222 | 3.868167 | 0.315113 | 0.093101 | 0.108063 | 0.0665 | 0.378221 | 0.336658 | 0.25852 | 0.23857 | 0.18537 | 0.137157 | 0 | 0.084525 | 0.275878 | 2,222 | 62 | 84 | 35.83871 | 0.663145 | 0 | 0 | 0.185185 | 0 | 0 | 0.14395 | 0.05803 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.037037 | false | 0 | 0.037037 | 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 |
ccfc779a1ced7c9e46cfbe2591e7ace76abaf9a2 | 643 | py | Python | tests/test.py | y95847frank/AutomatedTicketBot | 66754758430c7a1240b69259e32fcb452639c134 | [
"MIT"
] | 1 | 2021-03-26T05:07:20.000Z | 2021-03-26T05:07:20.000Z | tests/test.py | y95847frank/AutomatedTicketBot | 66754758430c7a1240b69259e32fcb452639c134 | [
"MIT"
] | null | null | null | tests/test.py | y95847frank/AutomatedTicketBot | 66754758430c7a1240b69259e32fcb452639c134 | [
"MIT"
] | null | null | null | import AutoTicketsBot as tBot
configDestination = 'var/config.yml'
args = tBot.addArgs()
config = tBot.configRead(configDestination)
if tBot.configWrite(configDestination, args, config) is True:
print("Successfully store new config to {}".format(configDestination))
ticketsBot = tBot.AutoTicketsBot(config)
#schedul... | 29.227273 | 71 | 0.785381 | 71 | 643 | 7.112676 | 0.56338 | 0.055446 | 0.10297 | 0.134653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008562 | 0.091757 | 643 | 22 | 72 | 29.227273 | 0.856164 | 0.083981 | 0 | 0 | 0 | 0 | 0.156197 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 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 |
ccfe49b139702ec62120531b875985143b174591 | 751 | py | Python | kattis/k_ones.py | ivanlyon/exercises | 0792976ae2acb85187b26a52812f9ebdd119b5e8 | [
"MIT"
] | null | null | null | kattis/k_ones.py | ivanlyon/exercises | 0792976ae2acb85187b26a52812f9ebdd119b5e8 | [
"MIT"
] | null | null | null | kattis/k_ones.py | ivanlyon/exercises | 0792976ae2acb85187b26a52812f9ebdd119b5e8 | [
"MIT"
] | null | null | null | '''
Smallest factor to reach a number composed of digit '1'
Status: Accepted
'''
###############################################################################
def main():
"""Read input and print output"""
while True:
try:
number = int(input())
except EOFError:
break... | 22.757576 | 79 | 0.370173 | 61 | 751 | 4.42623 | 0.590164 | 0.044444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026157 | 0.338216 | 751 | 32 | 80 | 23.46875 | 0.517103 | 0.134487 | 0 | 0 | 0 | 0 | 0.018789 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.055556 | false | 0 | 0 | 0 | 0.055556 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ccfe72e943c07b30fc915317d0d3a67d9c72f9cc | 2,190 | py | Python | back/api/message.py | LyonParapente/EventOrganizer | b263c2ce61b6ad1d6c414eb388ca5ee9492a9b73 | [
"MIT"
] | 4 | 2018-07-29T10:48:53.000Z | 2018-08-23T13:02:15.000Z | back/api/message.py | LyonParapente/EventOrganizer | b263c2ce61b6ad1d6c414eb388ca5ee9492a9b73 | [
"MIT"
] | 7 | 2018-11-15T15:17:45.000Z | 2021-05-11T19:58:55.000Z | back/api/message.py | LyonParapente/EventOrganizer | b263c2ce61b6ad1d6c414eb388ca5ee9492a9b73 | [
"MIT"
] | null | null | null | from flask import request, abort
from flask_restful_swagger_3 import Resource, swagger
from flask_jwt_extended import jwt_required, get_jwt_identity, get_jwt
from models.message import Message, MessageCreate
from database.manager import db
from emails import send_new_message
class MessageAPICreate(Resource):
@jwt_re... | 27.721519 | 109 | 0.590411 | 244 | 2,190 | 5.131148 | 0.405738 | 0.044728 | 0.022364 | 0.044728 | 0.055911 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017666 | 0.276256 | 2,190 | 78 | 110 | 28.076923 | 0.77224 | 0.028767 | 0 | 0.157143 | 0 | 0 | 0.191509 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014286 | false | 0 | 0.085714 | 0 | 0.128571 | 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 |