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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6d204183e5cd741d9554eb163777278f904f7099 | 3,380 | py | Python | mowl/graph/walking_rdf_and_owl/triples.py | bio-ontology-research-group/mlwo | cbe390d37a34355fe9cb969149a5c7775c5bb46a | [
"BSD-3-Clause"
] | null | null | null | mowl/graph/walking_rdf_and_owl/triples.py | bio-ontology-research-group/mlwo | cbe390d37a34355fe9cb969149a5c7775c5bb46a | [
"BSD-3-Clause"
] | 15 | 2019-09-04T07:49:40.000Z | 2022-02-10T11:31:17.000Z | mowl/graph/walking_rdf_and_owl/triples.py | bio-ontology-research-group/mlwo | cbe390d37a34355fe9cb969149a5c7775c5bb46a | [
"BSD-3-Clause"
] | 1 | 2019-09-03T03:31:28.000Z | 2019-09-03T03:31:28.000Z | from random import random
class Triplet():
def __init__(self, entity_1, relation, entity_2, score = random()):
self.__entity_1 = entity_1
self.__relation = relation
self.__entity_2 = entity_2
self.__score = float(score) # for developing purposes
def __repr__(self):
... | 28.888889 | 195 | 0.589941 | 450 | 3,380 | 4.135556 | 0.224444 | 0.07899 | 0.035465 | 0.045137 | 0.224073 | 0.144546 | 0.112843 | 0.036539 | 0 | 0 | 0 | 0.02209 | 0.30355 | 3,380 | 117 | 196 | 28.888889 | 0.768479 | 0.157396 | 0 | 0.278481 | 0 | 0 | 0.009243 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.202532 | false | 0 | 0.012658 | 0.088608 | 0.405063 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d20ccc88bf55d948a139763f89ca798ffc5719d | 1,225 | py | Python | src/websitemailer/screenshots.py | city-of-baltimore/website-mailer | 178bb01ccea2a7887fc03c50b97ef1ad4f5ae986 | [
"MIT"
] | null | null | null | src/websitemailer/screenshots.py | city-of-baltimore/website-mailer | 178bb01ccea2a7887fc03c50b97ef1ad4f5ae986 | [
"MIT"
] | null | null | null | src/websitemailer/screenshots.py | city-of-baltimore/website-mailer | 178bb01ccea2a7887fc03c50b97ef1ad4f5ae986 | [
"MIT"
] | null | null | null | """Takes a screenshot of a webpage"""
from pathlib import Path
from tempfile import NamedTemporaryFile
from time import sleep
from loguru import logger
from selenium import webdriver # type: ignore
from selenium.webdriver.chrome.options import Options # type: ignore
def take_screenshot(url, driver_path, dest_file:... | 37.121212 | 102 | 0.723265 | 175 | 1,225 | 4.977143 | 0.422857 | 0.064294 | 0.027555 | 0.036739 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001022 | 0.201633 | 1,225 | 32 | 103 | 38.28125 | 0.889571 | 0.346939 | 0 | 0 | 0 | 0 | 0.108179 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.315789 | 0 | 0.421053 | 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 | 1 | 0 | 0 | 0 | 0 | 1 |
6d217ceadcf8a03c2628a8cb1265b1858ebe33bf | 619 | py | Python | tests/integration_tests/edges_tests/test_copy.py | lycantropos/seidel | d4514f1041fe64c7faf3fd9a3f61769449070b51 | [
"MIT"
] | 3 | 2020-07-06T04:28:19.000Z | 2021-04-20T07:50:53.000Z | tests/integration_tests/edges_tests/test_copy.py | lycantropos/seidel | d4514f1041fe64c7faf3fd9a3f61769449070b51 | [
"MIT"
] | null | null | null | tests/integration_tests/edges_tests/test_copy.py | lycantropos/seidel | d4514f1041fe64c7faf3fd9a3f61769449070b51 | [
"MIT"
] | null | null | null | import copy
from hypothesis import given
from tests.utils import (BoundPortedEdgesPair,
are_bound_ported_edges_equal)
from . import strategies
@given(strategies.edges_pairs)
def test_shallow(edges_pair: BoundPortedEdgesPair) -> None:
bound, ported = edges_pair
assert are_bound_port... | 26.913043 | 76 | 0.714055 | 73 | 619 | 5.780822 | 0.315068 | 0.130332 | 0.189573 | 0.135071 | 0.620853 | 0.563981 | 0.412322 | 0.412322 | 0.412322 | 0.412322 | 0 | 0 | 0.210016 | 619 | 22 | 77 | 28.136364 | 0.862986 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d259abd8da45ace7606cac7534ce7fe136ed21c | 1,181 | py | Python | back-end/src/db-fixer.py | gfxcc/san11-platform-back-end | 74f60d201e21396c5c8601ddc404077ebd97871f | [
"MIT"
] | 1 | 2022-03-13T04:24:00.000Z | 2022-03-13T04:24:00.000Z | back-end/src/db-fixer.py | gfxcc/san11-platform-back-end | 74f60d201e21396c5c8601ddc404077ebd97871f | [
"MIT"
] | null | null | null | back-end/src/db-fixer.py | gfxcc/san11-platform-back-end | 74f60d201e21396c5c8601ddc404077ebd97871f | [
"MIT"
] | null | null | null | import logging
import os
from typing import Optional
from handler.model.base.base_db import ListOptions
from handler.model.model_activity import ModelActivity
from handler.model.model_user import ModelUser
from handler.util.time_util import get_now
def _get_earlist_activity(user: ModelUser) -> Optional[ModelActivity... | 32.805556 | 93 | 0.740051 | 163 | 1,181 | 5.110429 | 0.392638 | 0.096038 | 0.057623 | 0.05042 | 0.067227 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00203 | 0.165961 | 1,181 | 35 | 94 | 33.742857 | 0.843655 | 0.144793 | 0 | 0 | 0 | 0 | 0.057809 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.318182 | 0 | 0.5 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
6d292b42033212ab18a570d3499c1c82bd8e4752 | 4,599 | py | Python | test/test_tracker.py | TechnicallyWilliams/sync-week-austin-2018 | 6b1b4f5ebf34253a7694cceaae8eda450c926312 | [
"MIT"
] | null | null | null | test/test_tracker.py | TechnicallyWilliams/sync-week-austin-2018 | 6b1b4f5ebf34253a7694cceaae8eda450c926312 | [
"MIT"
] | null | null | null | test/test_tracker.py | TechnicallyWilliams/sync-week-austin-2018 | 6b1b4f5ebf34253a7694cceaae8eda450c926312 | [
"MIT"
] | null | null | null | import cv2
import os
import sys
import unittest
import threading
if __name__ == '__main__':
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
import leapvision.tracker
class SingleObjectTrackerTest(unittest.TestCase):
def setUp(self):
self.video_path = os.path.join(
os.path.d... | 34.840909 | 87 | 0.554903 | 470 | 4,599 | 5.310638 | 0.259574 | 0.064103 | 0.076923 | 0.064904 | 0.379006 | 0.336138 | 0.300881 | 0.279247 | 0.279247 | 0.279247 | 0 | 0.045262 | 0.332246 | 4,599 | 131 | 88 | 35.10687 | 0.767502 | 0 | 0 | 0.428571 | 0 | 0 | 0.034005 | 0 | 0 | 0 | 0.001259 | 0 | 0.10989 | 0 | null | null | 0 | 0.065934 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d29a3925f9a06b7fb05c693887c0a51b39f8c6f | 2,228 | py | Python | Python/main/store.py | ihongs/HongsCode | ade690b187acafdb67ee861c941c4c8a3d7434c0 | [
"MIT"
] | 1 | 2018-12-20T10:05:26.000Z | 2018-12-20T10:05:26.000Z | Python/main/store.py | ihongs/HongsCode | ade690b187acafdb67ee861c941c4c8a3d7434c0 | [
"MIT"
] | null | null | null | Python/main/store.py | ihongs/HongsCode | ade690b187acafdb67ee861c941c4c8a3d7434c0 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#coding=utf-8
# 目录文件备份工具
# 用于备份特定的数据目录或文件
# 作者: kevin.hongs@gmail.com
# 修订: 2016/03/03
import os
import re
import sys
import time
import shutil
import tarfile
from getopt import getopt
if __name__ == "__main__":
def cmd_help():
print "Usage: cleat.py SRC_PATH DST_PATH"
print "A... | 22.969072 | 81 | 0.467684 | 313 | 2,228 | 3.27476 | 0.396166 | 0.034146 | 0.039024 | 0.054634 | 0.11122 | 0.052683 | 0.052683 | 0 | 0 | 0 | 0 | 0.013649 | 0.375224 | 2,228 | 96 | 82 | 23.208333 | 0.722701 | 0.048025 | 0 | 0.166667 | 0 | 0.013889 | 0.268339 | 0.016091 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.097222 | null | null | 0.194444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d2dd5987d25fe961e9ce14c281afd1822603edd | 415 | py | Python | mxonline-master/untitled1/apps/courses/migrations/0005_video_url.py | zzrose/MXonline | 3274195f748517a47dfa7e47f7fa164f9bb34c82 | [
"Apache-2.0"
] | 1 | 2019-02-25T23:17:32.000Z | 2019-02-25T23:17:32.000Z | mxonline-master/untitled1/apps/courses/migrations/0005_video_url.py | zzrose/MXonline | 3274195f748517a47dfa7e47f7fa164f9bb34c82 | [
"Apache-2.0"
] | null | null | null | mxonline-master/untitled1/apps/courses/migrations/0005_video_url.py | zzrose/MXonline | 3274195f748517a47dfa7e47f7fa164f9bb34c82 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.0.1 on 2018-02-20 05:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('courses', '0004_course_tag'),
]
operations = [
migrations.AddField(
model_name='video',
name='url',
fiel... | 21.842105 | 93 | 0.6 | 46 | 415 | 5.304348 | 0.826087 | 0.07377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07309 | 0.274699 | 415 | 18 | 94 | 23.055556 | 0.737542 | 0.108434 | 0 | 0 | 1 | 0 | 0.116848 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d37521917a96e585d2c7b2a5706f3b67f69c2e6 | 476 | py | Python | app/overpass/nodes.py | wolfhardfehre/guide-io | cf076bad0634bcaf4ad0be4822539b7c8d254e76 | [
"MIT"
] | null | null | null | app/overpass/nodes.py | wolfhardfehre/guide-io | cf076bad0634bcaf4ad0be4822539b7c8d254e76 | [
"MIT"
] | null | null | null | app/overpass/nodes.py | wolfhardfehre/guide-io | cf076bad0634bcaf4ad0be4822539b7c8d254e76 | [
"MIT"
] | null | null | null | from app.overpass.overpass import Overpass
from app.overpass.location import Location
class Nodes(Overpass):
TYPE = 'node'
if __name__ == '__main__':
import pandas as pd
pd.options.display.max_columns = None
pd.options.display.width = 800
nodes = Nodes()
nodes.location = Location(13.383333,... | 21.636364 | 51 | 0.682773 | 59 | 476 | 5.355932 | 0.610169 | 0.044304 | 0.094937 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060686 | 0.203782 | 476 | 21 | 52 | 22.666667 | 0.773087 | 0 | 0 | 0 | 0 | 0 | 0.07563 | 0.05042 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.2 | 0.2 | 0 | 0.333333 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
6d3d502a9e4fab4b8d06fc5ff16a2568aab18edb | 1,400 | py | Python | tests/unit/test_public_html.py | milescsmith/cookiecutter-wordpress | 3bc3178af15e481d3a18df4ff4fcc93f618a6fdc | [
"MIT"
] | null | null | null | tests/unit/test_public_html.py | milescsmith/cookiecutter-wordpress | 3bc3178af15e481d3a18df4ff4fcc93f618a6fdc | [
"MIT"
] | null | null | null | tests/unit/test_public_html.py | milescsmith/cookiecutter-wordpress | 3bc3178af15e481d3a18df4ff4fcc93f618a6fdc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pytest
class SetupPublicHtml:
@pytest.fixture()
def context(self):
return None
@pytest.fixture()
def template(self, cookies, context):
if context is None:
return cookies.bake()
else:
return cookies.bake(extra_context=cont... | 23.728814 | 66 | 0.627143 | 158 | 1,400 | 5.455696 | 0.291139 | 0.034803 | 0.092807 | 0.143852 | 0.522042 | 0.488399 | 0.488399 | 0.488399 | 0.488399 | 0.488399 | 0 | 0.003802 | 0.248571 | 1,400 | 58 | 67 | 24.137931 | 0.815589 | 0.015 | 0 | 0.414634 | 0 | 0 | 0.079884 | 0 | 0 | 0 | 0 | 0 | 0.097561 | 1 | 0.219512 | false | 0 | 0.02439 | 0.097561 | 0.536585 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d3dde38158663d28e76c909e8c536123b26caa7 | 4,262 | py | Python | isaactest/tests/accordion_behaviour.py | jsharkey13/isaac-selenium-testing | fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8 | [
"MIT"
] | null | null | null | isaactest/tests/accordion_behaviour.py | jsharkey13/isaac-selenium-testing | fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8 | [
"MIT"
] | 1 | 2016-01-15T11:28:06.000Z | 2016-01-25T17:09:18.000Z | isaactest/tests/accordion_behaviour.py | jsharkey13/isaac-selenium-testing | fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8 | [
"MIT"
] | 1 | 2019-05-14T16:53:49.000Z | 2019-05-14T16:53:49.000Z | import time
from ..utils.log import log, INFO, ERROR, PASS
from ..utils.i_selenium import assert_tab, image_div
from ..utils.i_selenium import wait_for_xpath_element, wait_for_invisible_xpath
from ..utils.isaac import open_accordion_section, close_accordion_section, wait_accordion_open, wait_accordion_closed
from ..tes... | 45.827957 | 169 | 0.690286 | 539 | 4,262 | 5.269017 | 0.243043 | 0.036972 | 0.03662 | 0.04507 | 0.409507 | 0.343662 | 0.276056 | 0.258451 | 0.207042 | 0.189789 | 0 | 0.00149 | 0.212576 | 4,262 | 92 | 170 | 46.326087 | 0.844756 | 0.009385 | 0 | 0.3875 | 0 | 0 | 0.330461 | 0.060061 | 0 | 0 | 0 | 0 | 0.05 | 0 | null | null | 0.025 | 0.0875 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d3eb041ca451c14bb7749af771a32d51f111d6d | 587 | py | Python | yggdrasil/communication/AsciiMapComm.py | astro-friedel/yggdrasil | 5ecbfd083240965c20c502b4795b6dc93d94b020 | [
"BSD-3-Clause"
] | 22 | 2019-02-05T15:20:07.000Z | 2022-02-25T09:00:40.000Z | yggdrasil/communication/AsciiMapComm.py | astro-friedel/yggdrasil | 5ecbfd083240965c20c502b4795b6dc93d94b020 | [
"BSD-3-Clause"
] | 48 | 2019-02-15T20:41:24.000Z | 2022-03-16T20:52:02.000Z | yggdrasil/communication/AsciiMapComm.py | astro-friedel/yggdrasil | 5ecbfd083240965c20c502b4795b6dc93d94b020 | [
"BSD-3-Clause"
] | 16 | 2019-04-27T03:36:40.000Z | 2021-12-02T09:47:06.000Z | from yggdrasil.communication import FileComm
class AsciiMapComm(FileComm.FileComm):
r"""Class for handling I/O from/to a ASCII map on disk.
Args:
name (str): The environment variable where file path is stored.
**kwargs: Additional keywords arguments are passed to parent class.
"""
_... | 32.611111 | 75 | 0.625213 | 69 | 587 | 5.231884 | 0.811594 | 0.044321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.30494 | 587 | 17 | 76 | 34.529412 | 0.884804 | 0.337308 | 0 | 0 | 0 | 0 | 0.29863 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
6d4b7c11dabe41f806cbc11a1847f9f742c15d13 | 1,436 | py | Python | jupyterlab/tests/test_build_api.py | orpheus92/jupyter-beta | 3ca2665cf28cefb66bd096bb0ce32ec32ba6dfe5 | [
"BSD-3-Clause"
] | null | null | null | jupyterlab/tests/test_build_api.py | orpheus92/jupyter-beta | 3ca2665cf28cefb66bd096bb0ce32ec32ba6dfe5 | [
"BSD-3-Clause"
] | null | null | null | jupyterlab/tests/test_build_api.py | orpheus92/jupyter-beta | 3ca2665cf28cefb66bd096bb0ce32ec32ba6dfe5 | [
"BSD-3-Clause"
] | null | null | null | """Test the kernels service API."""
import threading
import time
from jupyterlab.tests.utils import LabTestBase, APITester
from notebook.tests.launchnotebook import assert_http_error
class BuildAPITester(APITester):
"""Wrapper for build REST API requests"""
url = 'lab/api/build'
def getStatus(self):
... | 25.192982 | 65 | 0.614206 | 175 | 1,436 | 4.902857 | 0.382857 | 0.073427 | 0.097902 | 0.074592 | 0.146853 | 0.146853 | 0.079254 | 0.079254 | 0 | 0 | 0 | 0.014368 | 0.272981 | 1,436 | 56 | 66 | 25.642857 | 0.807471 | 0.103064 | 0 | 0.111111 | 0 | 0 | 0.041831 | 0 | 0 | 0 | 0 | 0 | 0.194444 | 1 | 0.222222 | false | 0 | 0.111111 | 0.083333 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d4ff338a5048d79569541e65f7625f4beff0e41 | 395 | py | Python | Olympiad Solutions/URI/1181.py | Ashwanigupta9125/code-DS-ALGO | 49f6cf7d0c682da669db23619aef3f80697b352b | [
"MIT"
] | 36 | 2019-12-27T08:23:08.000Z | 2022-01-24T20:35:47.000Z | Olympiad Solutions/URI/1181.py | Ashwanigupta9125/code-DS-ALGO | 49f6cf7d0c682da669db23619aef3f80697b352b | [
"MIT"
] | 10 | 2019-11-13T02:55:18.000Z | 2021-10-13T23:28:09.000Z | Olympiad Solutions/URI/1181.py | Ashwanigupta9125/code-DS-ALGO | 49f6cf7d0c682da669db23619aef3f80697b352b | [
"MIT"
] | 53 | 2020-08-15T11:08:40.000Z | 2021-10-09T15:51:38.000Z | # Ivan Carvalho
# Solution to https://www.urionlinejudge.com.br/judge/problems/view/1181
#!/usr/bin/env python2.7
linha = int(raw_input())
array = [[0 for j in xrange(12)] for k in xrange(12)]
operacao = raw_input()
for p in xrange(12):
for k in xrange(12):
array[p][k]=float(raw_input())
if operacao == "S":
print "... | 28.214286 | 72 | 0.663291 | 69 | 395 | 3.753623 | 0.565217 | 0.123552 | 0.15444 | 0.100386 | 0.339768 | 0.185328 | 0.185328 | 0.185328 | 0 | 0 | 0 | 0.05848 | 0.134177 | 395 | 13 | 73 | 30.384615 | 0.69883 | 0.270886 | 0 | 0 | 0 | 0 | 0.03169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d50afec427856861c969ad355d8c5fa162ca5ff | 276 | py | Python | packages/PIPS/validation/Benchmarks/Hyantes.sub/remove_reduction.py | DVSR1966/par4all | 86b33ca9da736e832b568c5637a2381f360f1996 | [
"MIT"
] | 51 | 2015-01-31T01:51:39.000Z | 2022-02-18T02:01:50.000Z | packages/PIPS/validation/Benchmarks/Hyantes.sub/remove_reduction.py | DVSR1966/par4all | 86b33ca9da736e832b568c5637a2381f360f1996 | [
"MIT"
] | 7 | 2017-05-29T09:29:00.000Z | 2019-03-11T16:01:39.000Z | packages/PIPS/validation/Benchmarks/Hyantes.sub/remove_reduction.py | DVSR1966/par4all | 86b33ca9da736e832b568c5637a2381f360f1996 | [
"MIT"
] | 12 | 2015-03-26T08:05:38.000Z | 2022-02-18T02:01:51.000Z | from __future__ import with_statement
from pyps import workspace
with workspace("hyantes.c", "options.c") as w:
w.props.constant_path_effects=False
f=w["hyantes!do_run_AMORTIZED_DISK"]
for l in f.all_loops:
l.reduction_variable_expansion()
f.display()
| 30.666667 | 46 | 0.73913 | 42 | 276 | 4.547619 | 0.738095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.163043 | 276 | 8 | 47 | 34.5 | 0.82684 | 0 | 0 | 0 | 0 | 0 | 0.17029 | 0.105072 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d57153945b51f7d7faf6071ea0fd9dbff460656 | 2,377 | py | Python | domain/meta/schedule.py | trcox/py-core-domain | ca490809b247aef08e7de8981432f31b4f9d31a1 | [
"Apache-2.0"
] | null | null | null | domain/meta/schedule.py | trcox/py-core-domain | ca490809b247aef08e7de8981432f31b4f9d31a1 | [
"Apache-2.0"
] | null | null | null | domain/meta/schedule.py | trcox/py-core-domain | ca490809b247aef08e7de8981432f31b4f9d31a1 | [
"Apache-2.0"
] | null | null | null | # *******************************************************************************
# Copyright 2017 Dell Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | 44.849057 | 99 | 0.634834 | 301 | 2,377 | 4.943522 | 0.488372 | 0.040323 | 0.040323 | 0.021505 | 0.129032 | 0.129032 | 0.129032 | 0.129032 | 0.129032 | 0.129032 | 0 | 0.01226 | 0.21077 | 2,377 | 52 | 100 | 45.711538 | 0.780917 | 0.600337 | 0 | 0 | 0 | 0.058824 | 0.114007 | 0 | 0 | 0 | 0 | 0.019231 | 0 | 1 | 0.117647 | false | 0 | 0.058824 | 0.058824 | 0.352941 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d5bd3fb4d8e9779c1930d9978e30ba7ba6d66cc | 1,737 | py | Python | chipy_org/apps/main/views.py | land-of-apps/chipy.org | be433d0cb3453a1550f344c02d6164b6bf4d9e63 | [
"MIT"
] | 88 | 2015-01-01T21:12:18.000Z | 2022-03-01T13:36:59.000Z | chipy_org/apps/main/views.py | land-of-apps/chipy.org | be433d0cb3453a1550f344c02d6164b6bf4d9e63 | [
"MIT"
] | 296 | 2015-01-02T15:55:19.000Z | 2022-03-20T20:11:47.000Z | chipy_org/apps/main/views.py | land-of-apps/chipy.org | be433d0cb3453a1550f344c02d6164b6bf4d9e63 | [
"MIT"
] | 83 | 2015-01-25T02:34:24.000Z | 2021-11-08T20:28:36.000Z | import datetime
import sys
import traceback
from django.contrib import messages
from django.contrib.auth.views import LogoutView
from django.http import HttpResponse, HttpResponseServerError
from django.template import loader
from django.views.generic import TemplateView
from chipy_org.apps.meetings.models import Mee... | 28.016129 | 98 | 0.672999 | 193 | 1,737 | 5.937824 | 0.450777 | 0.04363 | 0.031414 | 0.041885 | 0.041885 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013373 | 0.225101 | 1,737 | 61 | 99 | 28.47541 | 0.838039 | 0 | 0 | 0 | 0 | 0 | 0.075417 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108696 | false | 0 | 0.23913 | 0.043478 | 0.543478 | 0.021739 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
6d5c27efea898ab26417bfa0e4161873555a02b3 | 1,718 | py | Python | web_market/catalog/models.py | AK-1121/small_market_with_django | 95a3b395e272b3c84400cd3d2ef92affe76dc328 | [
"MIT"
] | null | null | null | web_market/catalog/models.py | AK-1121/small_market_with_django | 95a3b395e272b3c84400cd3d2ef92affe76dc328 | [
"MIT"
] | null | null | null | web_market/catalog/models.py | AK-1121/small_market_with_django | 95a3b395e272b3c84400cd3d2ef92affe76dc328 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class ProductType(models.Model):
name = models.CharField(max_length=50, unique=True)
raiting = models.FloatField()
description = models.TextField(default='')
class SubProductType(models.Model):
name = models.CharField(max_length=50, unique=True... | 31.236364 | 72 | 0.720023 | 202 | 1,718 | 5.990099 | 0.321782 | 0.123967 | 0.14876 | 0.198347 | 0.478512 | 0.323141 | 0.232231 | 0.2 | 0.122314 | 0.122314 | 0 | 0.025 | 0.161816 | 1,718 | 54 | 73 | 31.814815 | 0.815278 | 0.01397 | 0 | 0.368421 | 0 | 0 | 0.023077 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.026316 | 0 | 0.921053 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d5cfd7abf19372973186603f8a82d3a006b104a | 336 | py | Python | src/app/voltdb/voltdb_src/tools/tcpprobe.py | OpenMPDK/SMDK | 8f19d32d999731242cb1ab116a4cb445d9993b15 | [
"BSD-3-Clause"
] | 44 | 2022-03-16T08:32:31.000Z | 2022-03-31T16:02:35.000Z | src/app/voltdb/voltdb_src/tools/tcpprobe.py | H2O0Lee/SMDK | eff49bc17a55a83ea968112feb2e2f2ea18c4ff5 | [
"BSD-3-Clause"
] | 1 | 2022-03-29T02:30:28.000Z | 2022-03-30T03:40:46.000Z | src/app/voltdb/voltdb_src/tools/tcpprobe.py | H2O0Lee/SMDK | eff49bc17a55a83ea968112feb2e2f2ea18c4ff5 | [
"BSD-3-Clause"
] | 18 | 2022-03-19T04:41:04.000Z | 2022-03-31T03:32:12.000Z | #!/usr/bin/env python
from __future__ import with_statement
from sys import argv
from socket import socket
from contextlib import closing
def main(args):
host, port = args[1:]
with closing(socket()) as s:
try: s.connect((host,int(port)))
except: return 1
if __name__ == '__main__':
exit(main(argv))
# v... | 18.666667 | 37 | 0.699405 | 54 | 336 | 4.111111 | 0.648148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014388 | 0.172619 | 336 | 17 | 38 | 19.764706 | 0.784173 | 0.110119 | 0 | 0 | 0 | 0 | 0.026936 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.363636 | 0 | 0.454545 | 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 | 1 | 0 | 0 | 0 | 0 | 1 |
6d648804452d20f1849971ab4c6c5df716e95168 | 25,970 | py | Python | spotifython/session.py | Guptacos/spotifython | 9d42e903f29667906abd959b45b642a9645c60d1 | [
"MIT"
] | null | null | null | spotifython/session.py | Guptacos/spotifython | 9d42e903f29667906abd959b45b642a9645c60d1 | [
"MIT"
] | 61 | 2020-04-25T20:17:05.000Z | 2020-09-20T20:41:24.000Z | spotifython/session.py | Guptacos/spotifython | 9d42e903f29667906abd959b45b642a9645c60d1 | [
"MIT"
] | null | null | null | """ Session class. """
# Standard library imports
import math
# Local imports
import spotifython.constants as const
from spotifython.endpoints import Endpoints
import spotifython.utils as utils
class Session:
""" Represents an interactive Spotify session, tied to a Spotify API token.
Use methods here to dea... | 35.575342 | 86 | 0.578783 | 3,070 | 25,970 | 4.789902 | 0.134202 | 0.018973 | 0.007956 | 0.010609 | 0.472288 | 0.444951 | 0.389527 | 0.36865 | 0.352193 | 0.334444 | 0 | 0.005973 | 0.348903 | 25,970 | 729 | 87 | 35.624143 | 0.863682 | 0.40824 | 0 | 0.337931 | 0 | 0 | 0.069017 | 0.001633 | 0 | 0 | 0 | 0.010974 | 0 | 1 | 0.062069 | false | 0 | 0.031034 | 0 | 0.151724 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6d659aab0b30c16249cae3380b770eb52697e6c0 | 2,993 | py | Python | paper/plotPreliminary.py | SebastianGer/biases-in-word-embeddings | 001499003caf213acf62dffbe29a54259a60e3e4 | [
"MIT"
] | null | null | null | paper/plotPreliminary.py | SebastianGer/biases-in-word-embeddings | 001499003caf213acf62dffbe29a54259a60e3e4 | [
"MIT"
] | null | null | null | paper/plotPreliminary.py | SebastianGer/biases-in-word-embeddings | 001499003caf213acf62dffbe29a54259a60e3e4 | [
"MIT"
] | null | null | null | # Plots results of preliminary experiments to determine parameter settings for all other experiments
import pandas as pd
import matplotlib
matplotlib.use('pgf')
import matplotlib.pyplot as plt
df = pd.read_csv("data/preliminaryWord2vecComplete_clean.csv")
df3 = df.query('(skipgram == 1) & (contextwindow == 3)')
df5... | 39.381579 | 100 | 0.700969 | 416 | 2,993 | 5.026442 | 0.204327 | 0.04352 | 0.08704 | 0.13056 | 0.765662 | 0.713534 | 0.568149 | 0.568149 | 0.568149 | 0.568149 | 0 | 0.049531 | 0.109589 | 2,993 | 75 | 101 | 39.906667 | 0.735084 | 0.048112 | 0 | 0.517241 | 0 | 0 | 0.427215 | 0.09564 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.051724 | 0 | 0.051724 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
ed999549258bd692481abf7879dce3a39b46c915 | 5,996 | py | Python | src/opendr/perception/object_detection_3d/voxel_object_detection_3d/second_detector/pytorch/builder/lr_scheduler_builder.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 217 | 2020-04-10T16:39:36.000Z | 2022-03-30T15:39:04.000Z | src/opendr/perception/object_detection_3d/voxel_object_detection_3d/second_detector/pytorch/builder/lr_scheduler_builder.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 79 | 2021-06-23T10:40:10.000Z | 2021-12-16T07:59:42.000Z | src/opendr/perception/object_detection_3d/voxel_object_detection_3d/second_detector/pytorch/builder/lr_scheduler_builder.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 29 | 2021-12-16T09:26:13.000Z | 2022-03-29T15:19:18.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.690476 | 84 | 0.698299 | 695 | 5,996 | 5.683453 | 0.217266 | 0.203544 | 0.068354 | 0.048608 | 0.696709 | 0.690127 | 0.660253 | 0.612911 | 0.586076 | 0.548101 | 0 | 0.003006 | 0.223149 | 5,996 | 167 | 85 | 35.904192 | 0.844998 | 0.203469 | 0 | 0.509804 | 0 | 0 | 0.105832 | 0.044115 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0 | 0.009804 | 0 | 0.088235 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
ed9a8d66960ed413540be7e9fc0394c6fc149910 | 1,656 | py | Python | samples/wmi/wmi_request.py | R3dFruitRollUp/PythonForWindows | b253bc5873e7d97087ed22f2753b51fc6880ec18 | [
"BSD-3-Clause"
] | 1 | 2018-11-15T11:15:56.000Z | 2018-11-15T11:15:56.000Z | samples/wmi/wmi_request.py | killvxk/PythonForWindows | b253bc5873e7d97087ed22f2753b51fc6880ec18 | [
"BSD-3-Clause"
] | null | null | null | samples/wmi/wmi_request.py | killvxk/PythonForWindows | b253bc5873e7d97087ed22f2753b51fc6880ec18 | [
"BSD-3-Clause"
] | 1 | 2018-12-01T19:11:49.000Z | 2018-12-01T19:11:49.000Z | import sys
import os.path
import pprint
sys.path.append(os.path.abspath(__file__ + "\..\.."))
import windows
print("WMI requester is {0}".format(windows.system.wmi))
print("Selecting * from 'Win32_Process'")
result = windows.system.wmi.select("Win32_Process")
print("They are <{0}> processes".format(len(result)))
pri... | 36.8 | 98 | 0.660628 | 214 | 1,656 | 5.070093 | 0.359813 | 0.04977 | 0.03871 | 0.071889 | 0.04977 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022853 | 0.128019 | 1,656 | 44 | 99 | 37.636364 | 0.728532 | 0 | 0 | 0 | 0 | 0 | 0.424682 | 0.029643 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.121212 | 0 | 0.121212 | 0.666667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
ed9e27a1dfc15a74b30acc3524b9b0e30df90f89 | 4,975 | py | Python | racing_data/performance_list.py | predictive-punter/racing_data | 0d1b0ad0fe7591ce859d528af719349c0c7534d3 | [
"MIT"
] | 15 | 2017-04-08T05:22:49.000Z | 2021-04-20T17:33:22.000Z | racing_data/performance_list.py | phillc73/racing_data | 0d1b0ad0fe7591ce859d528af719349c0c7534d3 | [
"MIT"
] | 54 | 2016-07-21T10:35:45.000Z | 2016-07-30T23:06:50.000Z | racing_data/performance_list.py | phillc73/racing_data | 0d1b0ad0fe7591ce859d528af719349c0c7534d3 | [
"MIT"
] | 7 | 2016-12-15T06:02:54.000Z | 2020-04-20T15:32:55.000Z | class PerformanceList(list):
"""A performance list provides statistical analysis functionality for a list of performances"""
@property
def earnings(self):
"""Return the total prize money for the performances in this list"""
prize_monies = [performance['prize_money'] for performance in self... | 34.79021 | 156 | 0.665126 | 627 | 4,975 | 5.204147 | 0.141946 | 0.033098 | 0.052099 | 0.101134 | 0.532026 | 0.456635 | 0.317806 | 0.257125 | 0.238124 | 0.162734 | 0 | 0.00509 | 0.249648 | 4,975 | 142 | 157 | 35.035211 | 0.869006 | 0.296884 | 0 | 0.246753 | 0 | 0 | 0.032382 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.246753 | false | 0 | 0 | 0 | 0.532468 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
eda283b01e0b59cd7f31f32beaffd18135370de1 | 695 | py | Python | generatemusic/generate_waveforms.py | WiktorSa/Music-Generation-with-LSTM-and-.wav-files | 37b713b5e6193788a7710cc0fac4134efb74fa62 | [
"MIT"
] | 1 | 2022-03-09T20:13:57.000Z | 2022-03-09T20:13:57.000Z | generatemusic/generate_waveforms.py | WiktorSa/Music-Generation-with-LSTM-and-.wav-files | 37b713b5e6193788a7710cc0fac4134efb74fa62 | [
"MIT"
] | 1 | 2021-10-01T16:20:06.000Z | 2021-10-01T17:25:30.000Z | generatemusic/generate_waveforms.py | WiktorSa/Music-Generation-with-LSTM-and-.wav-files | 37b713b5e6193788a7710cc0fac4134efb74fa62 | [
"MIT"
] | null | null | null | import numpy as np
from scipy.fft import ifft
def generate_waveforms(data: np.ndarray) -> np.ndarray:
"""
Generate waveforms from frequency domains
:param data: frequency domains (where first n/2 examples consist of real values and the rest consists
of imaginary values)
:return: numpy array conta... | 26.730769 | 105 | 0.722302 | 93 | 695 | 5.258065 | 0.483871 | 0.114519 | 0.07362 | 0.09816 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010733 | 0.195683 | 695 | 25 | 106 | 27.8 | 0.864043 | 0.303597 | 0 | 0 | 1 | 0 | 0.015351 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edb1f4bb4d10e992c753da4af6fcdd517e93ba5c | 132 | py | Python | fundamentos-de-programacao/lista-15-05-19/Q1-RaizQuadrada.py | kbcvcbk/cesar-school | b857ac651175bd08551303a7e82d16c4a9f621d8 | [
"MIT"
] | 2 | 2020-05-14T00:29:38.000Z | 2022-03-08T23:28:02.000Z | fundamentos-de-programacao/lista-15-05-19/Q1-RaizQuadrada.py | kbcvcbk/cesar-school | b857ac651175bd08551303a7e82d16c4a9f621d8 | [
"MIT"
] | 1 | 2022-03-02T11:26:37.000Z | 2022-03-02T11:26:37.000Z | fundamentos-de-programacao/lista-15-05-19/Q1-RaizQuadrada.py | kbcvcbk/cesar-school | b857ac651175bd08551303a7e82d16c4a9f621d8 | [
"MIT"
] | 2 | 2020-11-03T09:36:27.000Z | 2022-03-08T23:28:14.000Z | n = float(input("Digite o número: "))
b=2
dif=3.14
while dif >= 0.0001:
p=(b+(n/b))/2
print("p é",p)
b=p
pq = p*p
dif=abs(n-pq) | 14.666667 | 37 | 0.55303 | 33 | 132 | 2.212121 | 0.575758 | 0.054795 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.092593 | 0.181818 | 132 | 9 | 38 | 14.666667 | 0.583333 | 0 | 0 | 0 | 0 | 0 | 0.150376 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edb23193c334891acc883361c3d8e788e913535e | 633 | py | Python | src/main/resources/opennlp.models/download_models.py | sully90/dp-search-service | efc6a94dad1c5b3fc898da9ced1606aa345c7ecd | [
"MIT"
] | null | null | null | src/main/resources/opennlp.models/download_models.py | sully90/dp-search-service | efc6a94dad1c5b3fc898da9ced1606aa345c7ecd | [
"MIT"
] | null | null | null | src/main/resources/opennlp.models/download_models.py | sully90/dp-search-service | efc6a94dad1c5b3fc898da9ced1606aa345c7ecd | [
"MIT"
] | null | null | null | #!/usr/bin/python
import os
def download_model(model_name):
'''
Downloads a given model binary
'''
print "Downloading ", model_name
cmd = "wget http://opennlp.sourceforge.net/models-1.5/%s" % model_name
os.system(cmd)
if __name__ == "__main__":
model_names = ["en-ner-dates.bin", "en-ner-l... | 30.142857 | 102 | 0.630332 | 92 | 633 | 4.141304 | 0.5 | 0.104987 | 0.125984 | 0.115486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003922 | 0.194313 | 633 | 20 | 103 | 31.65 | 0.743137 | 0.025276 | 0 | 0 | 0 | 0 | 0.394737 | 0.077193 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.083333 | null | null | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edb648c98f0f42744495f4d789c1cca05e6c4704 | 486 | py | Python | dhnx/helpers.py | rbv83/DHNx | e236d720c7ec3c0f400648b96141454557d35476 | [
"MIT"
] | 14 | 2020-06-25T14:03:21.000Z | 2021-11-25T12:53:08.000Z | dhnx/helpers.py | rbv83/DHNx | e236d720c7ec3c0f400648b96141454557d35476 | [
"MIT"
] | 51 | 2020-02-19T14:42:38.000Z | 2022-03-23T08:30:31.000Z | dhnx/helpers.py | oemof-heat/district_heating_simulation | edb5c9be17f74d7f200c1eb6a17000a26633bdc3 | [
"MIT"
] | 3 | 2020-10-23T15:54:11.000Z | 2022-02-28T12:53:09.000Z | import addict
class Dict(addict.Dict):
def __init__(self, *args, **kwargs):
super().__init__(self, *args, **kwargs)
def __repr__(self):
overview = ['* ' + str(key) for key, value in self.items()]
return '\n'.join(overview)
def sum_ignore_none(*items):
not_none = [value for value... | 21.130435 | 67 | 0.62963 | 67 | 486 | 4.223881 | 0.432836 | 0.09894 | 0.159011 | 0.127208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.253086 | 486 | 22 | 68 | 22.090909 | 0.779614 | 0 | 0 | 0 | 0 | 0 | 0.00823 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.071429 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edb92c5fd296cb3e07169dc79510c1f1c49d8cee | 2,286 | py | Python | sktime/utils/validation.py | TonyBagnall/sktime | 837a77026be3e53511c3d6139ddad14a39351bf5 | [
"BSD-3-Clause"
] | 2 | 2019-08-19T13:59:21.000Z | 2020-03-02T20:32:31.000Z | sktime/utils/validation.py | TonyBagnall/boss_fork | 837a77026be3e53511c3d6139ddad14a39351bf5 | [
"BSD-3-Clause"
] | null | null | null | sktime/utils/validation.py | TonyBagnall/boss_fork | 837a77026be3e53511c3d6139ddad14a39351bf5 | [
"BSD-3-Clause"
] | 2 | 2019-08-24T12:06:15.000Z | 2020-01-09T07:32:40.000Z | import numpy as np
def check_ts_X_y(X, y):
"""Placeholder function for input validation.
"""
# TODO: add proper checks (e.g. check if input stuff is pandas full of objects)
# currently it checks neither the data nor the datatype
# return check_X_y(X, y, dtype=None, ensure_2d=False)
return X, y
... | 38.1 | 112 | 0.645232 | 346 | 2,286 | 4.213873 | 0.346821 | 0.041152 | 0.022634 | 0.005487 | 0.378601 | 0.368999 | 0.341564 | 0.251029 | 0.251029 | 0.251029 | 0 | 0.009547 | 0.266842 | 2,286 | 59 | 113 | 38.745763 | 0.860382 | 0.515311 | 0 | 0 | 0 | 0 | 0.211946 | 0 | 0 | 0 | 0 | 0.050847 | 0 | 1 | 0.157895 | false | 0 | 0.052632 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edb94d210e20eefd62f4198317637767af846a19 | 324 | py | Python | mysite/migrations/0003_remove_blog_image.py | roku104/mysite | 774c55751ac6f29c1fb07c4da72a5894c5cbaf19 | [
"MIT"
] | 1 | 2018-11-21T02:14:32.000Z | 2018-11-21T02:14:32.000Z | mysite/migrations/0003_remove_blog_image.py | roku104/mysite | 774c55751ac6f29c1fb07c4da72a5894c5cbaf19 | [
"MIT"
] | null | null | null | mysite/migrations/0003_remove_blog_image.py | roku104/mysite | 774c55751ac6f29c1fb07c4da72a5894c5cbaf19 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.1 on 2018-09-26 15:25
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('mysite', '0002_auto_20180912_1246'),
]
operations = [
migrations.RemoveField(
model_name='blog',
name='image',
),
... | 18 | 47 | 0.58642 | 35 | 324 | 5.314286 | 0.828571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136564 | 0.299383 | 324 | 17 | 48 | 19.058824 | 0.682819 | 0.138889 | 0 | 0 | 1 | 0 | 0.137184 | 0.083032 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edc6534f0db68594afcf99358c2a9b3928d7a532 | 1,010 | py | Python | 81.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | 81.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | 81.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | with open('matrix.txt', 'r') as m:
n = m.read().split('\n')
matrix = [i.split(',') for i in n]
del matrix[-1]
for index1, value1 in enumerate(matrix):
for index2, value2 in enumerate(value1):
matrix[index1][index2] = int(value2)
row_pos = len(matrix)-1
ind_pos = len(matrix[row_pos])-1
while r... | 24.047619 | 71 | 0.582178 | 154 | 1,010 | 3.668831 | 0.396104 | 0.084956 | 0.106195 | 0.069027 | 0.178761 | 0.081416 | 0.081416 | 0.081416 | 0 | 0 | 0 | 0.055633 | 0.288119 | 1,010 | 42 | 72 | 24.047619 | 0.730181 | 0.005941 | 0 | 0.296296 | 0 | 0 | 0.01649 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.074074 | 0 | 0 | 0 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
edc8f195103066572e1257568eab242e02e23b02 | 1,472 | py | Python | findance/entity/migrations/0001_initial.py | mccartnm/findance | 5d8b980cbe3f0b3dbe5798a75f58b5749088331f | [
"MIT"
] | null | null | null | findance/entity/migrations/0001_initial.py | mccartnm/findance | 5d8b980cbe3f0b3dbe5798a75f58b5749088331f | [
"MIT"
] | null | null | null | findance/entity/migrations/0001_initial.py | mccartnm/findance | 5d8b980cbe3f0b3dbe5798a75f58b5749088331f | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2019-04-26 15:52
from django.db import migrations, models
import django.db.models.deletion
import findance.abstract
class Migration(migrations.Migration):
initial = True
dependencies = [
('assets', '0001_initial'),
]
operations = [
migrations.CreateMode... | 35.047619 | 158 | 0.559103 | 132 | 1,472 | 6.166667 | 0.507576 | 0.09828 | 0.152334 | 0.054054 | 0.348894 | 0.275184 | 0.275184 | 0.275184 | 0.275184 | 0.275184 | 0 | 0.018217 | 0.29144 | 1,472 | 41 | 159 | 35.902439 | 0.762224 | 0.029212 | 0 | 0.470588 | 1 | 0 | 0.13595 | 0.014716 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.088235 | 0 | 0.205882 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edd10011ec4f0f850a3332528aca6a5835c7347c | 181 | py | Python | numpy_test.py | weepingwillowben/image-learn | 2acbf1c51600256e3d9b5d7cf13f0870556bca00 | [
"MIT"
] | null | null | null | numpy_test.py | weepingwillowben/image-learn | 2acbf1c51600256e3d9b5d7cf13f0870556bca00 | [
"MIT"
] | null | null | null | numpy_test.py | weepingwillowben/image-learn | 2acbf1c51600256e3d9b5d7cf13f0870556bca00 | [
"MIT"
] | null | null | null | import numpy as np
arg = np.arange(100).reshape((10,10))
print(arg)
print(arg[[(1,2),(3,4)]])
res = np.digitize(0.4,[0.2,0.3])
print(res)
print(np.add.accumulate([0.1,0.2,0.3]))
| 16.454545 | 39 | 0.624309 | 40 | 181 | 2.825 | 0.475 | 0.141593 | 0.053097 | 0.070796 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.140244 | 0.093923 | 181 | 10 | 40 | 18.1 | 0.54878 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.571429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
edd1a2eba2e777e57dd9ae7fe78935cdfc83cf44 | 4,165 | py | Python | scripts/fsm.py | ut-osa/syncchar | eba20da163260b6ae1ef3e334ad2137873a8d625 | [
"BSD-3-Clause"
] | null | null | null | scripts/fsm.py | ut-osa/syncchar | eba20da163260b6ae1ef3e334ad2137873a8d625 | [
"BSD-3-Clause"
] | null | null | null | scripts/fsm.py | ut-osa/syncchar | eba20da163260b6ae1ef3e334ad2137873a8d625 | [
"BSD-3-Clause"
] | 1 | 2019-05-14T16:36:45.000Z | 2019-05-14T16:36:45.000Z |
"""
Finite state machine class.
The fsm class stores dictionary of state/input keys, values are
next state and action
when searching for matching state/input key, exact match
is checked first, then the input is matched against any regular
expressions associated with the state. As a last resort, state/None
can be use... | 26.870968 | 67 | 0.664586 | 586 | 4,165 | 4.686007 | 0.293515 | 0.055717 | 0.025492 | 0.029133 | 0.287327 | 0.287327 | 0.262564 | 0.262564 | 0.262564 | 0.262564 | 0 | 0.000314 | 0.236495 | 4,165 | 154 | 68 | 27.045455 | 0.863208 | 0.163505 | 0 | 0.442857 | 0 | 0 | 0.020253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.014286 | null | null | 0.014286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edd26443fbb7199143965a3072eb5ab1a9be5393 | 735 | py | Python | marvin/screen.py | Emphebion/MARVIN | 2053e8ce31b5e332e7c12271a71df3c25b0cb1a0 | [
"MIT"
] | null | null | null | marvin/screen.py | Emphebion/MARVIN | 2053e8ce31b5e332e7c12271a71df3c25b0cb1a0 | [
"MIT"
] | null | null | null | marvin/screen.py | Emphebion/MARVIN | 2053e8ce31b5e332e7c12271a71df3c25b0cb1a0 | [
"MIT"
] | null | null | null | #############################################
# Screen
# ===========================================
# Purpose is to:
# - What am I doing here?
#############################################
import pygame
class Screen:
def __init__(self, config_file, parser):
parser.read(config_file)
self.size = [x... | 26.25 | 80 | 0.487075 | 81 | 735 | 4.271605 | 0.506173 | 0.040462 | 0.063584 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010435 | 0.217687 | 735 | 28 | 81 | 26.25 | 0.591304 | 0.121088 | 0 | 0 | 0 | 0 | 0.019928 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.0625 | 0 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edd3070e919c28d260fa10a51ae510e33f6b0078 | 12,332 | py | Python | daguerre/tests/unit/test_management.py | littleweaver/django-daguerre | 9437dfc3f27386eac8aa769077e5715b81b5fe30 | [
"BSD-3-Clause"
] | 20 | 2015-01-08T07:43:42.000Z | 2018-01-28T02:25:51.000Z | daguerre/tests/unit/test_management.py | littleweaver/django-daguerre | 9437dfc3f27386eac8aa769077e5715b81b5fe30 | [
"BSD-3-Clause"
] | 28 | 2015-04-01T20:24:28.000Z | 2017-12-11T12:04:58.000Z | daguerre/tests/unit/test_management.py | littleweaver/django-daguerre | 9437dfc3f27386eac8aa769077e5715b81b5fe30 | [
"BSD-3-Clause"
] | 10 | 2015-04-09T10:56:41.000Z | 2018-01-26T07:11:05.000Z | from django.conf import settings
from django.core.files.storage import default_storage
from django.core.management.base import CommandError
from django.test.utils import override_settings
import mock
from daguerre.adjustments import Fit
from daguerre.management.commands._daguerre_clean import Command as Clean
from dag... | 40.565789 | 80 | 0.586685 | 1,183 | 12,332 | 5.896872 | 0.137785 | 0.069381 | 0.027953 | 0.065367 | 0.75129 | 0.688503 | 0.661554 | 0.630304 | 0.619983 | 0.604788 | 0 | 0.021127 | 0.309115 | 12,332 | 303 | 81 | 40.69967 | 0.797653 | 0.018894 | 0 | 0.578313 | 0 | 0 | 0.099167 | 0.013156 | 0 | 0 | 0 | 0 | 0.128514 | 1 | 0.084337 | false | 0.004016 | 0.044177 | 0 | 0.140562 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edd63cd9fb4b41ff585ff6a70fe4ee13e645a40a | 1,586 | py | Python | waitingthread.py | souzabrizolara/door-strut-simulator | 6de931f2d8b76b57a4fe457ecac6b7f13e373220 | [
"MIT"
] | null | null | null | waitingthread.py | souzabrizolara/door-strut-simulator | 6de931f2d8b76b57a4fe457ecac6b7f13e373220 | [
"MIT"
] | null | null | null | waitingthread.py | souzabrizolara/door-strut-simulator | 6de931f2d8b76b57a4fe457ecac6b7f13e373220 | [
"MIT"
] | null | null | null | import threading
import sys
import time
class WaitingThread(threading.Thread):
def __init__(self, lp, waitTime = 5):
threading.Thread.__init__(self)
self.running = True
self.waitCondition = threading.Condition(threading.RLock())
self.waitTime = waitTime
self.lastTime = No... | 25.580645 | 67 | 0.583228 | 153 | 1,586 | 5.993464 | 0.300654 | 0.203926 | 0.104689 | 0.091603 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001852 | 0.319042 | 1,586 | 61 | 68 | 26 | 0.847222 | 0 | 0 | 0.326531 | 0 | 0 | 0.009464 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.183673 | false | 0.040816 | 0.061224 | 0.020408 | 0.306122 | 0.020408 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edd64bd4827b991c5d28e9da19d3d313de93c8a0 | 7,209 | py | Python | dental/settings.py | AbhiyantrikTechnology/DentalHub-Backend | 89802b3e7671ffe8b3d287a998c3c4f375b58f03 | [
"MIT"
] | 1 | 2021-04-03T19:57:32.000Z | 2021-04-03T19:57:32.000Z | dental/settings.py | AbhiyantrikTechnology/DentalHub-Backend | 89802b3e7671ffe8b3d287a998c3c4f375b58f03 | [
"MIT"
] | null | null | null | dental/settings.py | AbhiyantrikTechnology/DentalHub-Backend | 89802b3e7671ffe8b3d287a998c3c4f375b58f03 | [
"MIT"
] | null | null | null | """
Django settings for dental project.
Generated by 'django-admin startproject' using Django 2.0.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import os
impor... | 26.025271 | 91 | 0.657928 | 767 | 7,209 | 6.029987 | 0.367666 | 0.044973 | 0.020757 | 0.037838 | 0.162162 | 0.128649 | 0.075027 | 0.075027 | 0.043243 | 0 | 0 | 0.010457 | 0.20405 | 7,209 | 276 | 92 | 26.119565 | 0.795573 | 0.265224 | 0 | 0.047619 | 1 | 0 | 0.468851 | 0.28996 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.047619 | 0.029762 | 0 | 0.029762 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edd85d21386459fc38710dc31cb59fc4dd97a292 | 210 | py | Python | http-requests/variables.py | cmin764/robots | 447a8a44cb4231e1cb8acd271eb4f2c9bb2d3e21 | [
"MIT"
] | 1 | 2022-03-17T20:28:06.000Z | 2022-03-17T20:28:06.000Z | http-requests/variables.py | cmin764/robots | 447a8a44cb4231e1cb8acd271eb4f2c9bb2d3e21 | [
"MIT"
] | null | null | null | http-requests/variables.py | cmin764/robots | 447a8a44cb4231e1cb8acd271eb4f2c9bb2d3e21 | [
"MIT"
] | null | null | null | from pathlib import Path
api_key_name = "api_key_cosmin"
portrait_gif = Path("devdata") / "portrait.gif"
api_base = "https://sandbox.zamzar.com/v1" # SANDBOX
# api_base = "https://api.zamzar.com/v1" # LIVE
| 26.25 | 53 | 0.714286 | 32 | 210 | 4.46875 | 0.5625 | 0.083916 | 0.167832 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010929 | 0.128571 | 210 | 7 | 54 | 30 | 0.770492 | 0.252381 | 0 | 0 | 0 | 0 | 0.405229 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
eddc0f7669654fde433ed24f9dc39fbd4ba45302 | 2,102 | py | Python | tangle_connector/tests/test_tangle_connector.py | stkubr/MAML | fa621b21420c76f4df0afba56bbcb492c63a31f0 | [
"MIT"
] | 4 | 2019-01-16T22:53:57.000Z | 2019-04-11T08:20:16.000Z | tangle_connector/tests/test_tangle_connector.py | stkubr/MAML | fa621b21420c76f4df0afba56bbcb492c63a31f0 | [
"MIT"
] | 4 | 2019-01-23T07:07:06.000Z | 2019-07-22T16:33:30.000Z | tangle_connector/tests/test_tangle_connector.py | stkubr/MAML | fa621b21420c76f4df0afba56bbcb492c63a31f0 | [
"MIT"
] | 4 | 2019-01-16T22:54:04.000Z | 2020-01-29T18:31:23.000Z | from unittest import TestCase
from iota import Address, TransactionHash
from tangle_connector import TangleConnector
class TestTangleConnector(TestCase):
def setUp(self):
self.tangle_con = TangleConnector()
def test_get_node(self):
res = self.tangle_con.get_node()
self.assertEqual(r... | 40.423077 | 116 | 0.764986 | 212 | 2,102 | 7.240566 | 0.216981 | 0.065147 | 0.084691 | 0.083388 | 0.458632 | 0.376547 | 0.270358 | 0.270358 | 0.270358 | 0.186319 | 0 | 0.016978 | 0.159372 | 2,102 | 51 | 117 | 41.215686 | 0.851726 | 0 | 0 | 0.189189 | 0 | 0 | 0.271429 | 0.252857 | 0 | 0 | 0 | 0 | 0.216216 | 1 | 0.243243 | false | 0 | 0.081081 | 0 | 0.351351 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
ede54949181848e3b9662de38d4f462733cf71e6 | 603 | py | Python | ztag/annotations/americanmegatrends.py | justinbastress/ztag | 137b754dfe22b7d6e0945ae33def372ec67d092b | [
"Apache-2.0"
] | 107 | 2015-10-13T16:03:21.000Z | 2021-11-08T10:53:07.000Z | ztag/annotations/americanmegatrends.py | justinbastress/ztag | 137b754dfe22b7d6e0945ae33def372ec67d092b | [
"Apache-2.0"
] | 73 | 2015-10-14T17:27:10.000Z | 2018-10-01T14:32:44.000Z | ztag/annotations/americanmegatrends.py | justinbastress/ztag | 137b754dfe22b7d6e0945ae33def372ec67d092b | [
"Apache-2.0"
] | 36 | 2015-10-14T17:13:20.000Z | 2021-10-05T19:41:10.000Z | from ztag.annotation import *
class AmericanMegatrends(Annotation):
protocol = protocols.HTTPS
subprotocol = protocols.HTTPS.TLS
port = None
tests = {
"american_megatrends":{
"local_metadata":{
"manufacturer": Manufacturer.AMERICANMEGATRENDS
}
... | 26.217391 | 81 | 0.621891 | 50 | 603 | 7.44 | 0.66 | 0.075269 | 0.134409 | 0.198925 | 0.295699 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002304 | 0.280265 | 603 | 22 | 82 | 27.409091 | 0.854839 | 0 | 0 | 0 | 0 | 0 | 0.172757 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.470588 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
edf3aad2c02724856ffa4ce73bc25b97e1a9d7b0 | 937 | py | Python | Bot/script7.py | hjunor/Bot-python-Instagran | 448312b12c5bdf959d7dd4ddb5a1eb5e1291f5c4 | [
"MIT"
] | 1 | 2020-07-29T18:00:18.000Z | 2020-07-29T18:00:18.000Z | Bot/script7.py | hjunor/Bot-python-Instagram | 448312b12c5bdf959d7dd4ddb5a1eb5e1291f5c4 | [
"MIT"
] | null | null | null | Bot/script7.py | hjunor/Bot-python-Instagram | 448312b12c5bdf959d7dd4ddb5a1eb5e1291f5c4 | [
"MIT"
] | null | null | null | #parar de seguir seguidores ...
from instapy import InstaPy
from instapy import smart_run
session = InstaPy(username='' , password='')
with smart_run(session):
session.set_do_follow(enabled=True, percentage=100)
session.set_do_like(enabled=True, percentage=100)
session.unfollow_users(amount=100, allFol... | 37.48 | 130 | 0.716115 | 125 | 937 | 5.24 | 0.504 | 0.061069 | 0.054962 | 0.073282 | 0.319084 | 0.146565 | 0.146565 | 0.146565 | 0.146565 | 0.146565 | 0 | 0.0425 | 0.146211 | 937 | 24 | 131 | 39.041667 | 0.77625 | 0.14301 | 0 | 0 | 0 | 0 | 0.122396 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.083333 | 0.166667 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
610406ba37832372e56f799a0a8405cc81ffc202 | 2,200 | py | Python | src/GUI.py | samm82/WebexPollBuilder | 9dc52595fae22043f48981c12eeda0d90b000fc8 | [
"MIT"
] | null | null | null | src/GUI.py | samm82/WebexPollBuilder | 9dc52595fae22043f48981c12eeda0d90b000fc8 | [
"MIT"
] | 13 | 2020-09-10T01:18:43.000Z | 2020-09-21T12:56:58.000Z | src/GUI.py | samm82/WebexPollBuilder | 9dc52595fae22043f48981c12eeda0d90b000fc8 | [
"MIT"
] | null | null | null | import PySimpleGUI as sg
def webexPollBuilderGUI(t):
return sg.Window("Webex Poll Builder").Layout(
[[sg.Text("How long should the question last for?"),
sg.Combo(t)],
[sg.Text("Select the file with the question and answers.")],
[sg.In(), sg.FileBrowse()],
[sg.Text("Sel... | 28.571429 | 74 | 0.605909 | 269 | 2,200 | 4.95539 | 0.36803 | 0.047262 | 0.058515 | 0.054014 | 0.186797 | 0.181545 | 0.171043 | 0.114029 | 0.061515 | 0.061515 | 0 | 0.001812 | 0.247273 | 2,200 | 76 | 75 | 28.947368 | 0.80314 | 0 | 0 | 0 | 0 | 0 | 0.415455 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.26 | false | 0 | 0.02 | 0.02 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
610a96c124ddf123bf15adaeaa766b98e989700b | 3,022 | py | Python | tests/smoke/basic_tests.py | hsyed/rules_kotlin_old | 7abdd03cf63dcbc629033aac82de7681d27eebe0 | [
"Apache-2.0"
] | 9 | 2018-02-08T04:07:22.000Z | 2019-11-15T04:17:33.000Z | tests/smoke/basic_tests.py | hsyed/rules_kotlin_old | 7abdd03cf63dcbc629033aac82de7681d27eebe0 | [
"Apache-2.0"
] | null | null | null | tests/smoke/basic_tests.py | hsyed/rules_kotlin_old | 7abdd03cf63dcbc629033aac82de7681d27eebe0 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 42.56338 | 149 | 0.74818 | 358 | 3,022 | 6.097765 | 0.385475 | 0.038479 | 0.087952 | 0.066422 | 0.420522 | 0.225836 | 0.179111 | 0.136051 | 0.136051 | 0.136051 | 0 | 0.003137 | 0.156188 | 3,022 | 70 | 150 | 43.171429 | 0.852941 | 0.273991 | 0 | 0.083333 | 0 | 0 | 0.288143 | 0.221507 | 0 | 0 | 0 | 0 | 0.194444 | 1 | 0.333333 | false | 0 | 0.055556 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
611181e7d0195f21d069fc45894a9609fc7010a3 | 11,206 | py | Python | pynars/NARS/DataStructures/_py/Memory.py | AIxer/PyNARS | 443b6a5e1c9779a1b861df1ca51ce5a190998d2e | [
"MIT"
] | null | null | null | pynars/NARS/DataStructures/_py/Memory.py | AIxer/PyNARS | 443b6a5e1c9779a1b861df1ca51ce5a190998d2e | [
"MIT"
] | null | null | null | pynars/NARS/DataStructures/_py/Memory.py | AIxer/PyNARS | 443b6a5e1c9779a1b861df1ca51ce5a190998d2e | [
"MIT"
] | null | null | null | from pynars.Config import Enable
from pynars.NAL.Inference.LocalRules import solve_query, solution_query, solution_question
from pynars.NAL.MetaLevelInference.VariableSubstitution import unification__var_const
from pynars.NARS.DataStructures._py.Link import TaskLink
from pynars.Narsese._py.Sentence import Goal, Judgem... | 40.601449 | 165 | 0.602534 | 1,269 | 11,206 | 5.170213 | 0.173365 | 0.035208 | 0.024691 | 0.017375 | 0.385764 | 0.345831 | 0.300412 | 0.288523 | 0.262003 | 0.237769 | 0 | 0.002608 | 0.315724 | 11,206 | 276 | 166 | 40.601449 | 0.853026 | 0.199536 | 0 | 0.304965 | 0 | 0.007092 | 0.019095 | 0.015303 | 0 | 0 | 0 | 0.01087 | 0 | 1 | 0.120567 | false | 0.014184 | 0.078014 | 0.035461 | 0.312057 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6111ddacc44418041a2bb2b9f13a62afcc927800 | 1,861 | py | Python | fn/fn_engine.py | zjjott/curiosity | d6aa8ef2503e7e21e26f53e964667288337d4ed1 | [
"MIT"
] | null | null | null | fn/fn_engine.py | zjjott/curiosity | d6aa8ef2503e7e21e26f53e964667288337d4ed1 | [
"MIT"
] | null | null | null | fn/fn_engine.py | zjjott/curiosity | d6aa8ef2503e7e21e26f53e964667288337d4ed1 | [
"MIT"
] | null | null | null | # coding=utf-8
"""实现时间片算法"""
from __future__ import unicode_literals, absolute_import
from fn.fn_loop import LoopContext
from fn.fn_eval import EvalContext
from collections import deque
class TimeSliceEngine(object):
def __init__(self):
# 运行上下文保存在这里面,切换时从里面开始切换,里面都应该是可执行的函数
# 上下文应当是一个可循环、可修改(运行结束... | 23.2625 | 56 | 0.577109 | 198 | 1,861 | 5.217172 | 0.489899 | 0.085189 | 0.052275 | 0.03485 | 0.10455 | 0.056147 | 0 | 0 | 0 | 0 | 0 | 0.011182 | 0.327243 | 1,861 | 79 | 57 | 23.556962 | 0.813898 | 0.191295 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.102564 | 0.025641 | 0.487179 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
611c86f8ffe03767be73c533d68fe0d78449ed8f | 12,750 | py | Python | PythonProjects/99-CapstoneProject-202020-DavidAndVIbha/labs/lab4_read_sensors.py | much2mutch/csse120-public | 4f862a6deb7a5373fb5723fb2a23e4042e4d4157 | [
"MIT"
] | null | null | null | PythonProjects/99-CapstoneProject-202020-DavidAndVIbha/labs/lab4_read_sensors.py | much2mutch/csse120-public | 4f862a6deb7a5373fb5723fb2a23e4042e4d4157 | [
"MIT"
] | null | null | null | PythonProjects/99-CapstoneProject-202020-DavidAndVIbha/labs/lab4_read_sensors.py | much2mutch/csse120-public | 4f862a6deb7a5373fb5723fb2a23e4042e4d4157 | [
"MIT"
] | null | null | null | """
Capstone Team Project. Code to run on a ROBOT (NOT a laptop).
This module is for testing STAND-ALONE code running on the ROBOT
(WITHOUT having LAPTOP GUI code running on the LAPTOP at the same time).
In tests the various SENSORS available to you.
Authors: Your professors (for the framework).
Winter term, 2019-2... | 37.946429 | 79 | 0.590039 | 1,547 | 12,750 | 4.777634 | 0.184228 | 0.078474 | 0.077391 | 0.052767 | 0.534434 | 0.509945 | 0.49655 | 0.457989 | 0.453254 | 0.423082 | 0 | 0.011372 | 0.241333 | 12,750 | 335 | 80 | 38.059701 | 0.752714 | 0.082039 | 0 | 0.516 | 0 | 0 | 0.475169 | 0.069457 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032 | false | 0 | 0.008 | 0 | 0.04 | 0.7 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
611d13547f13c33b7652ed80fb015010531fb338 | 12,233 | py | Python | tests/unit_tests/test_tethys_apps/test_base/test_workspace.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | 79 | 2015-10-05T13:13:28.000Z | 2022-02-01T12:30:33.000Z | tests/unit_tests/test_tethys_apps/test_base/test_workspace.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | 542 | 2015-08-12T22:11:32.000Z | 2022-03-29T22:18:08.000Z | tests/unit_tests/test_tethys_apps/test_base/test_workspace.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | 71 | 2016-01-16T01:03:41.000Z | 2022-03-31T17:55:54.000Z | import unittest
import tethys_apps.base.workspace as base_workspace
import os
import shutil
from unittest import mock
from ... import UserFactory
from django.http import HttpRequest
from django.contrib.auth.models import User
from django.core.exceptions import PermissionDenied
import tethys_apps.base.app_base as tethys... | 43.689286 | 118 | 0.710619 | 1,588 | 12,233 | 5.209698 | 0.108312 | 0.033845 | 0.052581 | 0.050526 | 0.751722 | 0.721383 | 0.684879 | 0.655506 | 0.604497 | 0.595673 | 0 | 0.006234 | 0.186953 | 12,233 | 279 | 119 | 43.845878 | 0.825558 | 0.054852 | 0 | 0.450495 | 0 | 0 | 0.159587 | 0.09414 | 0 | 0 | 0 | 0 | 0.247525 | 1 | 0.089109 | false | 0.019802 | 0.064356 | 0.009901 | 0.168317 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6127b9212cd94fad711feb777e1aec83d4f79910 | 3,170 | py | Python | src/crimedb/regions/base.py | pgriess/crimedb | c29c6fb32b9270516ee6f7aaf62d3c1886589f96 | [
"Apache-2.0"
] | 2 | 2015-11-23T22:58:04.000Z | 2018-06-08T17:58:17.000Z | src/crimedb/regions/base.py | pgriess/crimedb | c29c6fb32b9270516ee6f7aaf62d3c1886589f96 | [
"Apache-2.0"
] | 6 | 2015-04-03T14:58:32.000Z | 2015-04-05T19:47:21.000Z | src/crimedb/regions/base.py | pgriess/crimedb | c29c6fb32b9270516ee6f7aaf62d3c1886589f96 | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 Peter Griess
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 29.082569 | 79 | 0.65489 | 412 | 3,170 | 4.963592 | 0.48301 | 0.02934 | 0.016137 | 0.015648 | 0.102689 | 0.05868 | 0.05868 | 0.035208 | 0.035208 | 0 | 0 | 0.003911 | 0.274132 | 3,170 | 108 | 80 | 29.351852 | 0.884833 | 0.51041 | 0 | 0.081081 | 0 | 0 | 0.046995 | 0.01849 | 0 | 0 | 0 | 0 | 0 | 1 | 0.162162 | false | 0.081081 | 0.189189 | 0 | 0.432432 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
612b78a9bead3fbce9a078b2158bf96beee36bfe | 2,429 | py | Python | demands/models.py | moileretour/joatu | 9d18cb58b4280235688e269be6fd2d34b77ccead | [
"MIT"
] | 1 | 2018-05-01T04:54:36.000Z | 2018-05-01T04:54:36.000Z | demands/models.py | moileretour/joatu | 9d18cb58b4280235688e269be6fd2d34b77ccead | [
"MIT"
] | null | null | null | demands/models.py | moileretour/joatu | 9d18cb58b4280235688e269be6fd2d34b77ccead | [
"MIT"
] | 3 | 2018-04-13T18:28:32.000Z | 2018-05-01T01:38:38.000Z | from django.db import models
from profiles.models import Profile, ProfileHub
from hubs.models import Hub, HubGeolocation
from django.db.models.signals import post_save
from demands.extras.coordinates import coordinates_calculation
from demands.extras.distance import distance_calculation
# Create your models here.
clas... | 48.58 | 121 | 0.766159 | 315 | 2,429 | 5.726984 | 0.301587 | 0.049889 | 0.059867 | 0.079823 | 0.195122 | 0.099778 | 0.06541 | 0.06541 | 0.06541 | 0.06541 | 0 | 0.010481 | 0.135858 | 2,429 | 50 | 122 | 48.58 | 0.848976 | 0.022231 | 0 | 0 | 0 | 0 | 0.015592 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.15 | 0 | 0.7 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
612c7b5f5d8b05511afc52271ac9e21aebf3efa3 | 3,353 | py | Python | post.py | DzikuVx/PogodaWSzczecinie | cac67d69d7e57081dd325914ca4c2a3c0bdc65ab | [
"MIT"
] | null | null | null | post.py | DzikuVx/PogodaWSzczecinie | cac67d69d7e57081dd325914ca4c2a3c0bdc65ab | [
"MIT"
] | null | null | null | post.py | DzikuVx/PogodaWSzczecinie | cac67d69d7e57081dd325914ca4c2a3c0bdc65ab | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import random
import time
import tweetpony
import urllib2
import json
from config import config
def fetch(url):
req = urllib2.Request(url)
response = urllib2.urlopen(req)
return response.read()
def get_json():
return json.loads(fetch("http://weather.spychalski.info/api.php")... | 33.19802 | 119 | 0.559201 | 398 | 3,353 | 4.59799 | 0.30402 | 0.078142 | 0.096175 | 0.104918 | 0.434973 | 0.393443 | 0.35847 | 0.35847 | 0.35847 | 0.266667 | 0 | 0.015853 | 0.303907 | 3,353 | 100 | 120 | 33.53 | 0.768209 | 0.024456 | 0 | 0.3 | 0 | 0 | 0.212186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.085714 | null | null | 0.028571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b615798ba86de33143bd8b83d54e8c2cb5fd5d97 | 1,992 | py | Python | src/licma/tests/test_pyrules_m2crypto_oop.py | stg-tud/licma | b899e6e682f7716d19e79d6ce7b73c28c6efd4cf | [
"MIT"
] | 5 | 2021-09-13T11:24:13.000Z | 2022-03-18T21:56:58.000Z | src/licma/tests/test_pyrules_m2crypto_oop.py | stg-tud/licma | b899e6e682f7716d19e79d6ce7b73c28c6efd4cf | [
"MIT"
] | null | null | null | src/licma/tests/test_pyrules_m2crypto_oop.py | stg-tud/licma | b899e6e682f7716d19e79d6ce7b73c28c6efd4cf | [
"MIT"
] | 1 | 2021-09-13T06:02:20.000Z | 2021-09-13T06:02:20.000Z | import unittest
from licma.babel_fish.babel_fish import BabelFish
from licma.rules.python.pyrules_m2crypto.pyrule1_m2crypto import PyRule1M2Crypto
from licma.rules.python.pyrules_m2crypto.pyrule2_m2crypto import PyRule2M2Crypto
from licma.rules.python.pyrules_m2crypto.pyrule3_m2crypto import PyRule3M2Crypto
from licma... | 46.325581 | 98 | 0.703313 | 198 | 1,992 | 6.813131 | 0.242424 | 0.096368 | 0.133432 | 0.17791 | 0.485545 | 0.366938 | 0 | 0 | 0 | 0 | 0 | 0.041536 | 0.202309 | 1,992 | 42 | 99 | 47.428571 | 0.807426 | 0 | 0 | 0 | 0 | 0 | 0.310241 | 0.306225 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15625 | false | 0 | 0.25 | 0 | 0.46875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b6176beeb32ae6064f09171a1d1d0db9edfa1f3a | 1,160 | py | Python | leflow/easy_example.py | santacml/Malware-as-Video | 12dc3954f2237cb34857a44eadbb5ca76f8e97b5 | [
"MIT"
] | 1 | 2019-05-26T22:40:00.000Z | 2019-05-26T22:40:00.000Z | leflow/easy_example.py | santacml/Malware-as-Video | 12dc3954f2237cb34857a44eadbb5ca76f8e97b5 | [
"MIT"
] | null | null | null | leflow/easy_example.py | santacml/Malware-as-Video | 12dc3954f2237cb34857a44eadbb5ca76f8e97b5 | [
"MIT"
] | 1 | 2019-06-27T20:21:49.000Z | 2019-06-27T20:21:49.000Z | import tensorflow as tf
import numpy as np
import sys
sys.path.append('../LeFlow/src')
import processMif as mif
# This creates a random 32-bit floating point input for your variables
def rand(dim):
#return np.random.random(dim).astype(np.float32)
return np.ones(dim).astype(np.float32)
nodes = 1
X = tf.place... | 25.777778 | 97 | 0.671552 | 183 | 1,160 | 4.191257 | 0.480874 | 0.027379 | 0.028683 | 0.046936 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042328 | 0.185345 | 1,160 | 44 | 98 | 26.363636 | 0.769312 | 0.347414 | 0 | 0 | 0 | 0 | 0.064343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.181818 | null | null | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b618335f706022104fc8e982cca8ccd5f542436e | 1,894 | py | Python | 123.py | zhirihuixin/wzh_private | b090a1f68093b180b83b4f3146e56d264f63d5bd | [
"MIT"
] | 1 | 2017-03-21T09:07:30.000Z | 2017-03-21T09:07:30.000Z | 123.py | zhirihuixin/wzh_private | b090a1f68093b180b83b4f3146e56d264f63d5bd | [
"MIT"
] | null | null | null | 123.py | zhirihuixin/wzh_private | b090a1f68093b180b83b4f3146e56d264f63d5bd | [
"MIT"
] | null | null | null | import pickle
import numpy as np
pkl_file = open('D:\wangzhihui\\123\wzh\ResNext101_32_4d_faster_rcnn_merge_bn_scale_iter_60000\\detections.pkl', 'rb')
data1 = pickle.load(pkl_file)
def py_cpu_nms(dets, thresh):
"""Pure Python NMS baseline."""
x1 = dets[:, 0]
y1 = dets[:, 1]
x2 = dets[:, 2]
y2 = d... | 23.675 | 118 | 0.534319 | 332 | 1,894 | 2.990964 | 0.286145 | 0.024169 | 0.050352 | 0.048338 | 0.125881 | 0.11279 | 0.09567 | 0.062437 | 0.062437 | 0.062437 | 0 | 0.086986 | 0.229145 | 1,894 | 79 | 119 | 23.974684 | 0.593151 | 0 | 0 | 0.153846 | 0 | 0 | 0.053311 | 0.052189 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.046154 | null | null | 0.261538 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b61b86ab032b9a24da2c37b62cc30d9b56165a99 | 1,447 | py | Python | autodraft/draftHost/importers/positions.py | gnmerritt/autodraft | b4071f9cc5eaf57beb19ba1aec99377afdbfb09a | [
"MIT"
] | null | null | null | autodraft/draftHost/importers/positions.py | gnmerritt/autodraft | b4071f9cc5eaf57beb19ba1aec99377afdbfb09a | [
"MIT"
] | null | null | null | autodraft/draftHost/importers/positions.py | gnmerritt/autodraft | b4071f9cc5eaf57beb19ba1aec99377afdbfb09a | [
"MIT"
] | null | null | null | from draftHost.models import NflPosition, FantasyPosition
# path relative to manage.py
NFL_DATA_FILE = "draftHost/data/nfl_positions.txt"
FANTASY_DATA_FILE = "draftHost/data/fantasy_positions.txt"
class PositionImporter(object):
def add_positions(self):
try:
data = open(NFL_DATA_FILE, 'r')
... | 33.651163 | 73 | 0.54112 | 150 | 1,447 | 5.093333 | 0.406667 | 0.041885 | 0.028796 | 0.054974 | 0.246073 | 0.183246 | 0.183246 | 0.125654 | 0.125654 | 0.125654 | 0 | 0.004292 | 0.355909 | 1,447 | 42 | 74 | 34.452381 | 0.815451 | 0.017968 | 0 | 0.342857 | 0 | 0 | 0.10007 | 0.047921 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.057143 | null | null | 0.114286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b62a365f11a3573b0d239a3c19cd065df9a235b5 | 1,048 | py | Python | tests/middleware/test_secure_headers_middleware.py | Abeautifulsnow/masonite | f0ebb5ca05f5d88f21264e1cd0934435bd0a8791 | [
"MIT"
] | 1 | 2022-02-24T06:21:18.000Z | 2022-02-24T06:21:18.000Z | tests/middleware/test_secure_headers_middleware.py | Abeautifulsnow/masonite | f0ebb5ca05f5d88f21264e1cd0934435bd0a8791 | [
"MIT"
] | 1 | 2020-10-26T12:33:05.000Z | 2020-10-26T12:33:05.000Z | tests/middleware/test_secure_headers_middleware.py | Abeautifulsnow/masonite | f0ebb5ca05f5d88f21264e1cd0934435bd0a8791 | [
"MIT"
] | null | null | null | """ Test Secure Headers Midddleware """
from src.masonite.middleware import SecureHeadersMiddleware
from src.masonite.request import Request
from src.masonite.testing import TestCase, generate_wsgi
class TestSecureHeadersMiddleware(TestCase):
def setUp(self):
super().setUp()
self.request = Reque... | 40.307692 | 113 | 0.73187 | 118 | 1,048 | 6.389831 | 0.389831 | 0.116711 | 0.067639 | 0.095491 | 0.27321 | 0.27321 | 0.135279 | 0.135279 | 0 | 0 | 0 | 0.008979 | 0.149809 | 1,048 | 25 | 114 | 41.92 | 0.837262 | 0.02958 | 0 | 0.222222 | 1 | 0 | 0.136769 | 0.046581 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.388889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b630cb3736e98a7c40bd2693a526558233a1f22d | 745 | py | Python | meiduo_mall/meiduo_mall/utils/authenticate.py | yuluo0809/meiduo | 384935ee44bbbfa82314363ae0b886ca0a5ca70e | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/utils/authenticate.py | yuluo0809/meiduo | 384935ee44bbbfa82314363ae0b886ca0a5ca70e | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/utils/authenticate.py | yuluo0809/meiduo | 384935ee44bbbfa82314363ae0b886ca0a5ca70e | [
"MIT"
] | null | null | null | from django.contrib.auth.backends import ModelBackend
import re
from users.models import User
from django.db.models import Q
class MeiduoModelBackend(ModelBackend):
def authenticate(self, request, username=None, password=None, **kwargs):
if request is None:
try:
user = User.obj... | 32.391304 | 97 | 0.591946 | 82 | 745 | 5.341463 | 0.426829 | 0.045662 | 0.050228 | 0.082192 | 0.484018 | 0.484018 | 0.484018 | 0.484018 | 0.484018 | 0.484018 | 0 | 0 | 0.327517 | 745 | 22 | 98 | 33.863636 | 0.874252 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0.15 | 0.2 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
b6391b49ca6fcd9413c9bf008da249b350c2a41b | 568 | py | Python | am_instapound_backend/pictures/api/permissions.py | eryknn/am-instapound-backend | b7114ce323229e92b2770403cb72886726a461ef | [
"MIT"
] | null | null | null | am_instapound_backend/pictures/api/permissions.py | eryknn/am-instapound-backend | b7114ce323229e92b2770403cb72886726a461ef | [
"MIT"
] | null | null | null | am_instapound_backend/pictures/api/permissions.py | eryknn/am-instapound-backend | b7114ce323229e92b2770403cb72886726a461ef | [
"MIT"
] | null | null | null | from rest_framework import permissions
class IsPictureCreatorOrSafeOnly(permissions.BasePermission):
def has_object_permission(self, request, view, obj):
if request.method in permissions.SAFE_METHODS or view.action == 'like':
return True
return obj.uploaded_by == request.user
class... | 28.4 | 79 | 0.730634 | 63 | 568 | 6.444444 | 0.492063 | 0.123153 | 0.137931 | 0.152709 | 0.512315 | 0.512315 | 0.512315 | 0.512315 | 0.512315 | 0.512315 | 0 | 0 | 0.200704 | 568 | 19 | 80 | 29.894737 | 0.894273 | 0 | 0 | 0.363636 | 0 | 0 | 0.007042 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.090909 | 0 | 0.818182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
b63a56f5ac4eb798614b96efdd9374c1833b3b4f | 5,597 | py | Python | focus/PhaseretrievalresultsTinyTim.py | sniemi/SamPy | e048756feca67197cf5f995afd7d75d8286e017b | [
"BSD-2-Clause"
] | 5 | 2016-05-28T14:12:28.000Z | 2021-04-22T10:23:12.000Z | focus/PhaseretrievalresultsTinyTim.py | sniemi/SamPy | e048756feca67197cf5f995afd7d75d8286e017b | [
"BSD-2-Clause"
] | null | null | null | focus/PhaseretrievalresultsTinyTim.py | sniemi/SamPy | e048756feca67197cf5f995afd7d75d8286e017b | [
"BSD-2-Clause"
] | 2 | 2015-07-13T10:04:10.000Z | 2021-04-22T10:23:23.000Z | """
TinyTim model PSF phase retrieval results.
HISTORY:
Created on March 3, 2011
:author: Sami-Matias Niemi
:contact: niemi@stsci.edu
:version: 0.1
"""
import matplotlib
matplotlib.use('PDF')
import pylab as P
import glob as G
import numpy as N
import os
from matplotlib import cm
import SamPy.focus.phaseretrievalres... | 31.44382 | 98 | 0.516527 | 740 | 5,597 | 3.867568 | 0.285135 | 0.033194 | 0.033543 | 0.025157 | 0.341719 | 0.314465 | 0.279874 | 0.177149 | 0.132075 | 0.104822 | 0 | 0.058224 | 0.334108 | 5,597 | 178 | 99 | 31.44382 | 0.709686 | 0.031803 | 0 | 0.193798 | 0 | 0 | 0.167243 | 0.006144 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.054264 | null | null | 0.093023 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b63dbaf072cedc88a4143c750b428be483d16342 | 2,115 | py | Python | docdown/media.py | Mobelux/DocDown-Python | 7f6270dfe17678cc0f2e899f9665342a0784cffb | [
"BSD-3-Clause"
] | 1 | 2016-12-13T19:37:20.000Z | 2016-12-13T19:37:20.000Z | docdown/media.py | Mobelux/DocDown-Python | 7f6270dfe17678cc0f2e899f9665342a0784cffb | [
"BSD-3-Clause"
] | 2 | 2021-04-20T13:52:15.000Z | 2021-04-26T16:26:24.000Z | docdown/media.py | Mobelux/DocDown-Python | 7f6270dfe17678cc0f2e899f9665342a0784cffb | [
"BSD-3-Clause"
] | 4 | 2017-05-21T12:59:09.000Z | 2021-04-19T17:41:32.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals, print_function
from markdown.treeprocessors import Treeprocessor
from markdown.extensions import Extension
class MediaTreeprocessor(Treeprocessor):
def __init__(self, media_url=None, **kwargs):
self.media_url = media_url
... | 39.166667 | 112 | 0.597636 | 241 | 2,115 | 5.041494 | 0.369295 | 0.072428 | 0.115226 | 0.148148 | 0.148148 | 0.148148 | 0.148148 | 0.148148 | 0.148148 | 0.148148 | 0 | 0.001318 | 0.28227 | 2,115 | 53 | 113 | 39.90566 | 0.799078 | 0.242553 | 0 | 0 | 0 | 0 | 0.052963 | 0 | 0 | 0 | 0 | 0.018868 | 0 | 1 | 0.178571 | false | 0 | 0.107143 | 0.035714 | 0.392857 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b63f2d5649a160a388ae34356632cd2b5e280e3f | 2,275 | py | Python | kymatio/phaseexp1d/pyscatwave/scatwave/scattering1d/examples/synthetic.py | sixin-zh/kymatio_wph | 237c0d2009766cf83b2145420a14d3c6e90dc983 | [
"BSD-3-Clause"
] | null | null | null | kymatio/phaseexp1d/pyscatwave/scatwave/scattering1d/examples/synthetic.py | sixin-zh/kymatio_wph | 237c0d2009766cf83b2145420a14d3c6e90dc983 | [
"BSD-3-Clause"
] | null | null | null | kymatio/phaseexp1d/pyscatwave/scatwave/scattering1d/examples/synthetic.py | sixin-zh/kymatio_wph | 237c0d2009766cf83b2145420a14d3c6e90dc983 | [
"BSD-3-Clause"
] | null | null | null | import torch
from torch.autograd import Variable
from scatwave import Scattering1D
import matplotlib.pyplot as plt
import numpy as np
from sklearn.utils import check_random_state
def generate_harmonic_signal(T, num_intervals=4, gamma=0.9, random_state=42):
"""
Generates a harmonic signal, which is made of pie... | 32.971014 | 77 | 0.638681 | 340 | 2,275 | 4.152941 | 0.35 | 0.031161 | 0.038244 | 0.048867 | 0.120397 | 0.120397 | 0.120397 | 0.077904 | 0.077904 | 0.077904 | 0 | 0.037543 | 0.227253 | 2,275 | 68 | 78 | 33.455882 | 0.765643 | 0.103736 | 0 | 0 | 1 | 0 | 0.051587 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0 | 0.117647 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b648270cc7e72988968f45c3ecb5aa68300d62b6 | 397 | py | Python | Python/concatenation.py | aaavinash85/Python | cd58606f6f01c9bdccffb58e0f73825958679125 | [
"MIT"
] | null | null | null | Python/concatenation.py | aaavinash85/Python | cd58606f6f01c9bdccffb58e0f73825958679125 | [
"MIT"
] | null | null | null | Python/concatenation.py | aaavinash85/Python | cd58606f6f01c9bdccffb58e0f73825958679125 | [
"MIT"
] | null | null | null | name='avi'
print(name)
#name[0]='k' here this results in a error because strings are immutable
last_letters=name[1:]
print(last_letters)
print('k'+last_letters) #here is the string concateation
#here we replaced 'a' with 'k'
lname='koshal'
print("the concated string=",'Avinash'+ ln... | 33.083333 | 83 | 0.642317 | 60 | 397 | 4.2 | 0.566667 | 0.130952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019802 | 0.236776 | 397 | 11 | 84 | 36.090909 | 0.811881 | 0.453401 | 0 | 0 | 0 | 0 | 0.178404 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.555556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
b6513dae72381facd289c7f1890adba74d041c52 | 393 | py | Python | generate_azn.py | brunston/enigma | 3944fade43e100f3f631e308cf70fd28242a7b26 | [
"MIT"
] | null | null | null | generate_azn.py | brunston/enigma | 3944fade43e100f3f631e308cf70fd28242a7b26 | [
"MIT"
] | null | null | null | generate_azn.py | brunston/enigma | 3944fade43e100f3f631e308cf70fd28242a7b26 | [
"MIT"
] | null | null | null | # generate a*z_n = {ax : x in z_n} for any a in z_n
# brupoon
n = int(input("Z_n (integer n)? "))
a = int(input("a for a*Z_n (integer a)?"))
z_n = []
az_n = []
for i in range(n):
# standard set z_n
z_n.append(i)
for x in range(n):
value = (a*x) % n
# find ax in z_n
az_n.append(value)
#az_n = sort... | 18.714286 | 51 | 0.572519 | 88 | 393 | 2.363636 | 0.284091 | 0.115385 | 0.057692 | 0.048077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006601 | 0.229008 | 393 | 20 | 52 | 19.65 | 0.679868 | 0.274809 | 0 | 0 | 1 | 0 | 0.21147 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b653fd0336b468f5a851d3b61d250feb356b48bb | 39,571 | py | Python | _build/jupyter_execute/lectures/lecture4.py | hfboyce/tableau_course | 1480600c711bfa91d2169e999bbf194dd0332088 | [
"MIT"
] | null | null | null | _build/jupyter_execute/lectures/lecture4.py | hfboyce/tableau_course | 1480600c711bfa91d2169e999bbf194dd0332088 | [
"MIT"
] | null | null | null | _build/jupyter_execute/lectures/lecture4.py | hfboyce/tableau_course | 1480600c711bfa91d2169e999bbf194dd0332088 | [
"MIT"
] | null | null | null | # SVM with RBF Kernel and Feature Preprocessing
*Hayley Boyce, April 28th 2021*
# Importing our libraries
import pandas as pd
import altair as alt
import numpy as np
from sklearn.tree import DecisionTreeClassifier
from sklearn.dummy import DummyClassifier, DummyRegressor
from sklearn.neighbors import KNeighborsClassi... | 38.795098 | 354 | 0.753329 | 6,502 | 39,571 | 4.488465 | 0.146724 | 0.024877 | 0.00771 | 0.004523 | 0.226494 | 0.176227 | 0.152755 | 0.126028 | 0.106874 | 0.087171 | 0 | 0.012725 | 0.157969 | 39,571 | 1,019 | 355 | 38.83317 | 0.863145 | 0 | 0 | 0.150847 | 0 | 0.10339 | 0.043639 | 0.003104 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.00339 | 0.045763 | null | null | 0.025424 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b6547eff1c540120f338f2f7ef9eb6aa040c4692 | 169 | py | Python | HomeWork7.18.py | TiAmolj/Python-By-Joker | df37ddfb58c40d68298b4e862ba23671943de8cf | [
"Apache-2.0"
] | null | null | null | HomeWork7.18.py | TiAmolj/Python-By-Joker | df37ddfb58c40d68298b4e862ba23671943de8cf | [
"Apache-2.0"
] | null | null | null | HomeWork7.18.py | TiAmolj/Python-By-Joker | df37ddfb58c40d68298b4e862ba23671943de8cf | [
"Apache-2.0"
] | null | null | null | # 1
import math
r = float(input('输入五边形顶点到中心的距离:'))
s = 2*r*(math.sin(math.pi/5))
Area = 5*s*s/(4*math.tan(math.pi/5))
print('The area of the pentagon is %.2f'%Area) | 28.166667 | 46 | 0.633136 | 34 | 169 | 3.147059 | 0.617647 | 0.11215 | 0.130841 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048276 | 0.142012 | 169 | 6 | 46 | 28.166667 | 0.689655 | 0.005917 | 0 | 0 | 0 | 0 | 0.283951 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b656698542559160e5320731eda58e8762740f15 | 20,918 | py | Python | app/models.py | LianYun/xing | de0656083133ca78bdbd42c64c2fa3ce1a4fe962 | [
"MIT"
] | 2 | 2015-12-20T15:21:30.000Z | 2016-08-25T08:56:31.000Z | app/models.py | LianYun/xing | de0656083133ca78bdbd42c64c2fa3ce1a4fe962 | [
"MIT"
] | 13 | 2015-12-13T15:57:30.000Z | 2016-03-06T09:46:17.000Z | app/models.py | LianYun/xing | de0656083133ca78bdbd42c64c2fa3ce1a4fe962 | [
"MIT"
] | null | null | null | # _*_ coding: utf-8 _*_
"""
本部分定义应用的所有数据库对象。
"""
from werkzeug.security import generate_password_hash, check_password_hash
from flask.ext.login import UserMixin, AnonymousUserMixin
from itsdangerous import TimedJSONWebSignatureSerializer as Serializer
from flask import current_app, url_for
import datetime
from markdow... | 34.747508 | 126 | 0.563295 | 2,285 | 20,918 | 4.978556 | 0.153611 | 0.031646 | 0.037799 | 0.025404 | 0.459124 | 0.360759 | 0.327444 | 0.268372 | 0.212377 | 0.171062 | 0 | 0.015569 | 0.321398 | 20,918 | 601 | 127 | 34.805324 | 0.78584 | 0.019074 | 0 | 0.29718 | 1 | 0.004338 | 0.079743 | 0.00511 | 0 | 0 | 0.001376 | 0 | 0 | 1 | 0.097614 | false | 0.023861 | 0.032538 | 0.030369 | 0.373102 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b65918d8d15e00f6bff0edc5207846f79e249686 | 3,058 | py | Python | src/python_cryptography/4.signature.py | sudeep0901/python | 7a50af12e72d21ca4cad7f2afa4c6f929552043f | [
"MIT"
] | null | null | null | src/python_cryptography/4.signature.py | sudeep0901/python | 7a50af12e72d21ca4cad7f2afa4c6f929552043f | [
"MIT"
] | 3 | 2019-12-26T05:13:55.000Z | 2020-03-07T06:59:56.000Z | src/python_cryptography/4.signature.py | sudeep0901/python | 7a50af12e72d21ca4cad7f2afa4c6f929552043f | [
"MIT"
] | null | null | null | # RSA
# RSA Tool generate private public key
from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_OAEP
from Crypto import Random
from Crypto.Hash import SHA256
import base64
from Crypto.Signature import PKCS1_PSS
class CrptyoRSA:
PRIVATE_KEY_FILE = "private_key.pem"
PUBLIC_KEY_FILE = "public_key... | 31.854167 | 74 | 0.683126 | 384 | 3,058 | 5.138021 | 0.192708 | 0.082108 | 0.028383 | 0.03852 | 0.228586 | 0.130765 | 0.081095 | 0.081095 | 0 | 0 | 0 | 0.019789 | 0.223349 | 3,058 | 95 | 75 | 32.189474 | 0.810947 | 0.105625 | 0 | 0.031746 | 1 | 0 | 0.036357 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15873 | false | 0 | 0.15873 | 0.031746 | 0.47619 | 0.031746 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b65d709e70f3299340952e6028e59d6ffbba4e90 | 547 | py | Python | mundo_2/ex066.py | tseiiti/curso_em_video | 59565ce809c1f025fb41ab69de3b8c5b53c8f7b2 | [
"MIT"
] | null | null | null | mundo_2/ex066.py | tseiiti/curso_em_video | 59565ce809c1f025fb41ab69de3b8c5b53c8f7b2 | [
"MIT"
] | null | null | null | mundo_2/ex066.py | tseiiti/curso_em_video | 59565ce809c1f025fb41ab69de3b8c5b53c8f7b2 | [
"MIT"
] | null | null | null | from os import system, name
system('cls' if name == 'nt' else 'clear')
dsc = ('''DESAFIO 066:
Crie um programa que leia vários números inteiros pelo teclado. O
programa só vai parar quando o usuário digitar o valor 999, que é a
condição de parada. No final, mostre quantos números foram
digitados e qual foi a soma e... | 24.863636 | 68 | 0.670932 | 96 | 547 | 3.822917 | 0.71875 | 0.027248 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030516 | 0.221207 | 547 | 21 | 69 | 26.047619 | 0.830986 | 0 | 0 | 0 | 0 | 0 | 0.641682 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b66034e39bac2f1599e4b00ddf1f3159436715fb | 11,943 | py | Python | tools/pnfs_db_restore.py | moibenko/enstore | 6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9 | [
"Intel",
"Unlicense"
] | 4 | 2021-10-17T11:17:59.000Z | 2022-02-28T16:58:40.000Z | tools/pnfs_db_restore.py | moibenko/enstore | 6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9 | [
"Intel",
"Unlicense"
] | 17 | 2021-10-05T21:44:06.000Z | 2022-03-31T16:58:40.000Z | tools/pnfs_db_restore.py | moibenko/enstore | 6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9 | [
"Intel",
"Unlicense"
] | 8 | 2021-09-02T18:55:49.000Z | 2022-03-09T21:05:28.000Z | #!/usr/bin/env python
###############################################################################
#
# This script is to be used to restore and start pnfs from live backup
#
#
# $Id$
###############################################################################
import getopt
import os
import pwd
import re
import s... | 33.928977 | 135 | 0.554635 | 1,463 | 11,943 | 4.416951 | 0.233766 | 0.01857 | 0.012999 | 0.010059 | 0.127669 | 0.113123 | 0.091767 | 0.079851 | 0.076447 | 0.051377 | 0 | 0.007341 | 0.292808 | 11,943 | 351 | 136 | 34.025641 | 0.757755 | 0 | 0 | 0.203571 | 0 | 0.010714 | 0.202183 | 0.026123 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.003571 | 0.05 | null | null | 0.078571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b664480b84ef977aa0b729cdb4d540f18537ee31 | 185 | py | Python | Textual/ver.py | precla/plugins | 3bcfe83295264bc73e6dfe70ae15d9b3d6650f6e | [
"MIT"
] | 93 | 2015-01-05T23:19:59.000Z | 2022-02-16T00:56:50.000Z | Textual/ver.py | FichteForks/tingping-plugins | 85e07ccb3b66b78414dd5aa6f14f3a17bd384a2b | [
"MIT"
] | 7 | 2015-01-21T23:50:08.000Z | 2018-07-26T21:29:38.000Z | Textual/ver.py | FichteForks/tingping-plugins | 85e07ccb3b66b78414dd5aa6f14f3a17bd384a2b | [
"MIT"
] | 53 | 2015-01-19T12:16:58.000Z | 2021-08-30T01:18:29.000Z | #!/usr/bin/env python
import sys
if len(sys.argv) < 3 or not sys.argv[2]:
print('/echo nick required.')
sys.exit()
nick = sys.argv[2]
print('/ctcp {} VERSION'.format(nick))
| 15.416667 | 40 | 0.627027 | 31 | 185 | 3.741935 | 0.677419 | 0.181034 | 0.137931 | 0.224138 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019737 | 0.178378 | 185 | 11 | 41 | 16.818182 | 0.743421 | 0.108108 | 0 | 0 | 0 | 0 | 0.219512 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b670fa0f0102d71543d8ccaedc1d30fd90503e7f | 477 | py | Python | payroll/employee_management/migrations/0015_auto_20200302_1717.py | the-krafty-koder/pay-3 | 20426ef00b78c2a65fb4031a7692866bd22a991a | [
"MIT"
] | 1 | 2021-03-26T19:39:30.000Z | 2021-03-26T19:39:30.000Z | payroll/employee_management/migrations/0015_auto_20200302_1717.py | the-krafty-koder/pay-3 | 20426ef00b78c2a65fb4031a7692866bd22a991a | [
"MIT"
] | 12 | 2020-10-27T22:47:01.000Z | 2022-03-12T00:42:49.000Z | payroll/employee_management/migrations/0015_auto_20200302_1717.py | the-krafty-koder/pay-3 | 20426ef00b78c2a65fb4031a7692866bd22a991a | [
"MIT"
] | null | null | null | # Generated by Django 2.2.5 on 2020-03-02 17:17
from django.db import migrations, models
import employee_management.models
class Migration(migrations.Migration):
dependencies = [
('employee_management', '0014_auto_20200302_1716'),
]
operations = [
migrations.AlterField(
mode... | 23.85 | 93 | 0.66457 | 52 | 477 | 5.903846 | 0.692308 | 0.175896 | 0.156352 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085165 | 0.236897 | 477 | 19 | 94 | 25.105263 | 0.758242 | 0.09434 | 0 | 0 | 1 | 0 | 0.130233 | 0.053488 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b6743b740ca63e21a2b17bf0b3f68e580bd80f5d | 353 | py | Python | samples/sample.py | eduardo-vitral/BALRoGO | d4608aa861899fdd447613968fbd53019037bc46 | [
"MIT"
] | null | null | null | samples/sample.py | eduardo-vitral/BALRoGO | d4608aa861899fdd447613968fbd53019037bc46 | [
"MIT"
] | null | null | null | samples/sample.py | eduardo-vitral/BALRoGO | d4608aa861899fdd447613968fbd53019037bc46 | [
"MIT"
] | null | null | null | from balrogo import gaia
# Read HDU
print("Reading input...")
path = r"./samples/SCULPTOR.fits"
# Run sample code
print("Running code...")
final_data, results_sd, var_sd, results_pm, var_pm = gaia.extract_object(path)
print("results_pm:", results_pm)
print("var_pm:", var_pm)
print("results_sd:", result... | 22.0625 | 79 | 0.696884 | 54 | 353 | 4.296296 | 0.481481 | 0.116379 | 0.060345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.147309 | 353 | 15 | 80 | 23.533333 | 0.770764 | 0.067989 | 0 | 0 | 0 | 0 | 0.289389 | 0.073955 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0.666667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
b678cfb0be769b12f1acf94c09d18da017d53bfe | 757 | py | Python | ex042.py | ezequielwish/Python3 | a4489d49e6919649437cb9e682614240701e2b68 | [
"MIT"
] | 1 | 2022-01-24T02:01:32.000Z | 2022-01-24T02:01:32.000Z | ex042.py | ezequielwish/Python3 | a4489d49e6919649437cb9e682614240701e2b68 | [
"MIT"
] | null | null | null | ex042.py | ezequielwish/Python3 | a4489d49e6919649437cb9e682614240701e2b68 | [
"MIT"
] | null | null | null | # Refaça o DESAFIO 35 dos triângulos, acrescentando o recurso de mostrar que tipo de triângulo será formado:
#
# – EQUILÁTERO: todos os lados iguais
#
# – ISÓSCELES: dois lados iguais, um diferente
#
# – ESCALENO: todos os lados diferentes
side1 = int(input('Primeiro lado: '))
side2 = int(input('Segundo lado: '))
side... | 31.541667 | 108 | 0.65786 | 103 | 757 | 4.815534 | 0.495146 | 0.080645 | 0.048387 | 0.068548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 0.217966 | 757 | 23 | 109 | 32.913043 | 0.77027 | 0.297226 | 0 | 0.142857 | 0 | 0 | 0.30916 | 0 | 0 | 0 | 0 | 0.043478 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b67b288e83765b98929b985fef59c826ad896b2c | 1,532 | py | Python | usaspending_api/references/migrations/0052_toptieragencypublisheddabsview.py | ststuck/usaspending-api | b13bd5bcba0369ff8512f61a34745626c3969391 | [
"CC0-1.0"
] | 217 | 2016-11-03T17:09:53.000Z | 2022-03-10T04:17:54.000Z | usaspending_api/references/migrations/0052_toptieragencypublisheddabsview.py | Hk92a/usaspending-api | 25daa9dbc30835b8f4b4c797c592ba9ecc78ca00 | [
"CC0-1.0"
] | 622 | 2016-09-02T19:18:23.000Z | 2022-03-29T17:11:01.000Z | usaspending_api/references/migrations/0052_toptieragencypublisheddabsview.py | Hk92a/usaspending-api | 25daa9dbc30835b8f4b4c797c592ba9ecc78ca00 | [
"CC0-1.0"
] | 93 | 2016-09-07T20:28:57.000Z | 2022-02-25T00:25:27.000Z | # Generated by Django 2.2.19 on 2021-03-11 18:27
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
("references", "0051_auto_20210223_1404"),
("submissions", "0015_submissionattributes_history"),
]
operation... | 34.044444 | 109 | 0.553525 | 150 | 1,532 | 5.386667 | 0.506667 | 0.112624 | 0.055693 | 0.081683 | 0.10396 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037344 | 0.370757 | 1,532 | 44 | 110 | 34.818182 | 0.80083 | 0.030026 | 0 | 0.090909 | 1 | 0 | 0.292786 | 0.213579 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.227273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b67d5f4f80272dd118a8a67e39a34490d5c2cb23 | 392 | py | Python | user/migrations/0002_auto_20171228_1322.py | MirzaBaig715/learn-online | 1f2e5a48e383d632933b1eca98f7a2a88a92b2db | [
"MIT"
] | null | null | null | user/migrations/0002_auto_20171228_1322.py | MirzaBaig715/learn-online | 1f2e5a48e383d632933b1eca98f7a2a88a92b2db | [
"MIT"
] | null | null | null | user/migrations/0002_auto_20171228_1322.py | MirzaBaig715/learn-online | 1f2e5a48e383d632933b1eca98f7a2a88a92b2db | [
"MIT"
] | null | null | null | # Generated by Django 2.0 on 2017-12-28 13:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('user', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='tutor',
name='salary',
field=m... | 20.631579 | 73 | 0.591837 | 43 | 392 | 5.325581 | 0.837209 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0681 | 0.288265 | 392 | 18 | 74 | 21.777778 | 0.752688 | 0.109694 | 0 | 0 | 1 | 0 | 0.07781 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b680c50a7b7c89ff2e3642335168615352eb2ef1 | 1,132 | py | Python | twitter_clone/users/models/profile.py | ag94e/Twitter_clone | 037ab41b79e7c236a85bb0e9c0e892dfa3ba407a | [
"MIT"
] | null | null | null | twitter_clone/users/models/profile.py | ag94e/Twitter_clone | 037ab41b79e7c236a85bb0e9c0e892dfa3ba407a | [
"MIT"
] | null | null | null | twitter_clone/users/models/profile.py | ag94e/Twitter_clone | 037ab41b79e7c236a85bb0e9c0e892dfa3ba407a | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.db import models
from django.core.validators import RegexValidator
class Profile(models.Model):
""" Profile model.
A proxy model that extends the data
with data with extra information.
"""
user = models.OneToOneField(User, on_delete=models.CAS... | 33.294118 | 102 | 0.678445 | 137 | 1,132 | 5.49635 | 0.576642 | 0.039841 | 0.099602 | 0.103586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029445 | 0.219965 | 1,132 | 34 | 103 | 33.294118 | 0.82333 | 0.089223 | 0 | 0 | 0 | 0 | 0.109235 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.111111 | 0 | 0.592593 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
b6854c3fe8824d72793c01c59fac84170b474e24 | 636 | py | Python | setup.py | bmsimang/Analyse_Function_Predict_Group2 | 2f4ee80860ff781493e78cff693d18dd049fdd35 | [
"MIT"
] | null | null | null | setup.py | bmsimang/Analyse_Function_Predict_Group2 | 2f4ee80860ff781493e78cff693d18dd049fdd35 | [
"MIT"
] | null | null | null | setup.py | bmsimang/Analyse_Function_Predict_Group2 | 2f4ee80860ff781493e78cff693d18dd049fdd35 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(
name='predict_functions_package',
version='0.1',
packages=find_packages(exclude=['tests*']),
license='MIT',
description='A list of python Data Analysis Functions',
long_description=open('README.md').read(),
install_requires=['numpy', 'panda... | 45.428571 | 144 | 0.745283 | 76 | 636 | 6.118421 | 0.75 | 0.086022 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014311 | 0.121069 | 636 | 14 | 145 | 45.428571 | 0.817531 | 0 | 0 | 0 | 0 | 0.076923 | 0.565149 | 0.197802 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.076923 | 0 | 0.076923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b69653e1f2c2a35c5240a6afe449e5f0e3532b91 | 1,598 | py | Python | scripts/download_external.py | Wujingli/OpenWebGlobeDataProcessing | 932eaa00c81fc0571122bc618ade010fa255735e | [
"MIT"
] | null | null | null | scripts/download_external.py | Wujingli/OpenWebGlobeDataProcessing | 932eaa00c81fc0571122bc618ade010fa255735e | [
"MIT"
] | null | null | null | scripts/download_external.py | Wujingli/OpenWebGlobeDataProcessing | 932eaa00c81fc0571122bc618ade010fa255735e | [
"MIT"
] | 2 | 2019-06-08T15:59:26.000Z | 2021-02-06T08:13:01.000Z | #!/usr/bin/python
import urllib2
import sys
import os
import os.path
import tarfile
#-------------------------------------------------------------------------------
# OS specific setupls
if sys.platform == 'win32':
print "Windows detected..."
dest = "dataprocessing_external_win32.tar.gz"
elif sys.platform == '... | 28.035088 | 87 | 0.518773 | 149 | 1,598 | 5.516779 | 0.496644 | 0.053528 | 0.126521 | 0.124088 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006484 | 0.131414 | 1,598 | 56 | 88 | 28.535714 | 0.585735 | 0.306633 | 0 | 0.055556 | 0 | 0 | 0.394713 | 0.123974 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.138889 | null | null | 0.277778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b6a965062e5afc5623bfcef05658f50d3355f266 | 6,919 | py | Python | src/summarizeRankings.py | dentearl/assemblAnalysis | c8524456dff720d37356c55d7640687415bc1df6 | [
"MIT"
] | 1 | 2020-11-12T06:32:26.000Z | 2020-11-12T06:32:26.000Z | src/summarizeRankings.py | dentearl/assemblAnalysis | c8524456dff720d37356c55d7640687415bc1df6 | [
"MIT"
] | null | null | null | src/summarizeRankings.py | dentearl/assemblAnalysis | c8524456dff720d37356c55d7640687415bc1df6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
summarizeRankings.py
dent earl, dearl (a) soe ucsc edu
27 April 2011
Python script to take a set of rankings files and aggregate their results.
"""
##############################
# Copyright (C) 2009-2011 by
# Dent Earl (dearl@soe.ucsc.edu, dent.earl@gmail.com)
# Benedict Paten (benedict@so... | 34.944444 | 96 | 0.581298 | 899 | 6,919 | 4.448276 | 0.298109 | 0.024756 | 0.03851 | 0.018755 | 0.094524 | 0.059515 | 0.014004 | 0 | 0 | 0 | 0 | 0.008183 | 0.29354 | 6,919 | 197 | 97 | 35.121827 | 0.809943 | 0.206677 | 0 | 0.152778 | 0 | 0 | 0.145034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.027778 | null | null | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b6abc4c54da088d5c140905ed4814491c96271ee | 719 | py | Python | integrationTests/get_standup_threads_test.py | Teaminator/standup-and-prosper-sdk.py | ccdba4a24f395dc0b45d9f9da9bdf5038e1b1617 | [
"Apache-2.0"
] | 1 | 2021-09-16T08:02:35.000Z | 2021-09-16T08:02:35.000Z | integrationTests/get_standup_threads_test.py | Teaminator/standup-and-prosper-sdk.py | ccdba4a24f395dc0b45d9f9da9bdf5038e1b1617 | [
"Apache-2.0"
] | 1 | 2021-06-14T16:45:56.000Z | 2021-06-14T16:56:05.000Z | integrationTests/get_standup_threads_test.py | Teaminator/standup-and-prosper-sdk.py | ccdba4a24f395dc0b45d9f9da9bdf5038e1b1617 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
import unittest
import nose
import time
from standup_and_prosper_sdk import ApiClient, StandupsApi
class GetStandupThreadsTest(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def get_standup_threads(self):
# Enable test
# def test_get_sta... | 19.972222 | 65 | 0.720445 | 88 | 719 | 5.534091 | 0.465909 | 0.143737 | 0.104723 | 0.086242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00173 | 0.196106 | 719 | 36 | 66 | 19.972222 | 0.84083 | 0.154381 | 0 | 0.142857 | 0 | 0 | 0.03204 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.142857 | 0.238095 | 0 | 0.428571 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
b6abe6095de15d3b6a74511316430a41cae18b7f | 343 | py | Python | app.py | bameda/pharmap-api | 71f5353c19951a4350c3ace2855063093924f061 | [
"MIT"
] | null | null | null | app.py | bameda/pharmap-api | 71f5353c19951a4350c3ace2855063093924f061 | [
"MIT"
] | null | null | null | app.py | bameda/pharmap-api | 71f5353c19951a4350c3ace2855063093924f061 | [
"MIT"
] | null | null | null | from apistar import App
from apistar.commands import create_tables
from pharmap.commands import sample_data
from pharmap.storage.models import * # noqa
from pharmap.routes import routes
from pharmap.settings import settings
commands = [
create_tables,
sample_data,
]
app = App(routes=routes, settings=settin... | 20.176471 | 62 | 0.793003 | 45 | 343 | 5.955556 | 0.333333 | 0.164179 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.145773 | 343 | 16 | 63 | 21.4375 | 0.914676 | 0.011662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.545455 | 0 | 0.545455 | 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 | 1 | 0 | 0 | 0 | 0 | 1 |
b6ac8fa3607de31632714669b2afbc009736258a | 771 | py | Python | src/encoded/tests/test_upgrade_star_qc.py | KCL-ORG/encoded | 5a1904e948bfd652e8a8d52c6717d7fc0b56b681 | [
"MIT"
] | 4 | 2018-01-04T22:31:08.000Z | 2021-07-15T17:39:16.000Z | src/encoded/tests/test_upgrade_star_qc.py | KCL-ORG/encoded | 5a1904e948bfd652e8a8d52c6717d7fc0b56b681 | [
"MIT"
] | 38 | 2019-03-22T14:11:51.000Z | 2022-03-30T23:56:09.000Z | src/encoded/tests/test_upgrade_star_qc.py | KCL-ORG/encoded | 5a1904e948bfd652e8a8d52c6717d7fc0b56b681 | [
"MIT"
] | 10 | 2017-09-14T00:57:07.000Z | 2021-07-27T23:41:14.000Z | import pytest
@pytest.fixture
def star_quality_metric(pipeline, analysis_step_run, bam_file):
return {
'status': "finished",
'pipeline': pipeline['uuid'],
'step_run': analysis_step_run['uuid'],
'schema_version': '2',
'quality_metric_of': [bam_file['uuid']]
}
def test_... | 33.521739 | 72 | 0.603113 | 83 | 771 | 5.301205 | 0.433735 | 0.177273 | 0.193182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005357 | 0.273671 | 771 | 22 | 73 | 35.045455 | 0.780357 | 0 | 0 | 0 | 0 | 0 | 0.141375 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 1 | 0.111111 | false | 0 | 0.111111 | 0.055556 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b6ae3b9a42fc929cb17efa0d2f10f351f17fc531 | 1,814 | py | Python | Task/Align-columns/Python/align-columns-2.py | LaudateCorpus1/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 1 | 2018-11-09T22:08:38.000Z | 2018-11-09T22:08:38.000Z | Task/Align-columns/Python/align-columns-2.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | null | null | null | Task/Align-columns/Python/align-columns-2.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 1 | 2018-11-09T22:08:40.000Z | 2018-11-09T22:08:40.000Z | from StringIO import StringIO
textinfile = '''Given$a$text$file$of$many$lines,$where$fields$within$a$line$
are$delineated$by$a$single$'dollar'$character,$write$a$program
that$aligns$each$column$of$fields$by$ensuring$that$words$in$each$
column$are$separated$by$at$least$one$space.
Further,$allow$for$each$word$in$a$colum... | 39.434783 | 101 | 0.708379 | 254 | 1,814 | 5.059055 | 0.425197 | 0.021012 | 0.028016 | 0.029572 | 0.129183 | 0.06537 | 0.06537 | 0.06537 | 0.06537 | 0.06537 | 0 | 0.002654 | 0.169239 | 1,814 | 45 | 102 | 40.311111 | 0.850033 | 0.076075 | 0 | 0 | 0 | 0.115385 | 0.33169 | 0.25 | 0 | 0 | 0 | 0 | 0.038462 | 0 | null | null | 0 | 0.038462 | null | null | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcb1cc84b208a5f7c8a0147b44b6a2cf9aac9163 | 1,654 | py | Python | k2/python/k2/ragged/ops.py | pzelasko/k2 | 2dbb3e09b152fcf98354c946baa271e5b57c8321 | [
"Apache-2.0"
] | null | null | null | k2/python/k2/ragged/ops.py | pzelasko/k2 | 2dbb3e09b152fcf98354c946baa271e5b57c8321 | [
"Apache-2.0"
] | null | null | null | k2/python/k2/ragged/ops.py | pzelasko/k2 | 2dbb3e09b152fcf98354c946baa271e5b57c8321 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 Mobvoi Inc. (authors: Fangjun Kuang)
#
# See ../../../../LICENSE for clarification regarding multiple authors
from typing import Tuple, Optional
from typing import Union
import torch
import _k2
def index(src: Union[_k2.RaggedArc, _k2.RaggedInt],
indexes: torch.Tensor,
... | 35.956522 | 76 | 0.613059 | 212 | 1,654 | 4.683962 | 0.386792 | 0.096677 | 0.080564 | 0.036254 | 0.221551 | 0.16717 | 0.16717 | 0.16717 | 0.098691 | 0.098691 | 0 | 0.018581 | 0.28416 | 1,654 | 45 | 77 | 36.755556 | 0.820101 | 0.620919 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.307692 | 0 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
fcb287f343755fad071871dc930601e1e2bb056f | 3,849 | py | Python | padempdi.py | efurlanm/378 | d5c2ab0e80f2930867057c6c7ce9791e711c1391 | [
"MIT"
] | null | null | null | padempdi.py | efurlanm/378 | d5c2ab0e80f2930867057c6c7ce9791e711c1391 | [
"MIT"
] | null | null | null | padempdi.py | efurlanm/378 | d5c2ab0e80f2930867057c6c7ce9791e711c1391 | [
"MIT"
] | null | null | null | # CAP-378 Trabalho: PAD em PDI
# Uso: mpiexec -n <NTASKS> python3 padempdi.py
import numpy as np
from mpi4py import MPI
wt = MPI.Wtime() # "wall time" para cálculo do tempo decorrido
comm = MPI.COMM_WORLD # comunicador global (pode servir para definir grupos)
cpu = comm.Get_size() # total de ranks que o mp... | 46.939024 | 92 | 0.649519 | 587 | 3,849 | 4.23339 | 0.405451 | 0.020121 | 0.012072 | 0.01328 | 0.012072 | 0.012072 | 0 | 0 | 0 | 0 | 0 | 0.037723 | 0.25617 | 3,849 | 81 | 93 | 47.518519 | 0.829899 | 0.528709 | 0 | 0.181818 | 0 | 0 | 0.021011 | 0 | 0 | 0 | 0 | 0.012346 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.045455 | 0.022727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcb486efe8ea339f4620466cdeeeb1c8db201f10 | 452 | py | Python | redirector/main.py | dyakovri/redirector-api | cd576d9b27b4de5777dd2112e9e355e8585dc44e | [
"BSD-2-Clause"
] | 1 | 2022-03-23T17:56:15.000Z | 2022-03-23T17:56:15.000Z | redirector/main.py | dyakovri/redirector-api | cd576d9b27b4de5777dd2112e9e355e8585dc44e | [
"BSD-2-Clause"
] | null | null | null | redirector/main.py | dyakovri/redirector-api | cd576d9b27b4de5777dd2112e9e355e8585dc44e | [
"BSD-2-Clause"
] | null | null | null | from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi_sqlalchemy import DBSessionMiddleware
from .router import router
from .settings import get_settings
app = FastAPI()
app.add_middleware(DBSessionMiddleware, db_url=get_settings().DB_DSN)
app.add_middleware(
CORSMiddleware,
... | 25.111111 | 69 | 0.778761 | 53 | 452 | 6.415094 | 0.433962 | 0.097059 | 0.094118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121681 | 452 | 17 | 70 | 26.588235 | 0.856423 | 0 | 0 | 0 | 0 | 0 | 0.006637 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
fcb56437c8a13d8cdb0778f357f19d4d66ab7b36 | 9,761 | py | Python | openmdao.gui/src/openmdao/gui/omg.py | swryan/OpenMDAO-Framework | f50d60e1a8cadac7fe03d26ffad5fb660b2a15ec | [
"Apache-2.0"
] | null | null | null | openmdao.gui/src/openmdao/gui/omg.py | swryan/OpenMDAO-Framework | f50d60e1a8cadac7fe03d26ffad5fb660b2a15ec | [
"Apache-2.0"
] | null | null | null | openmdao.gui/src/openmdao/gui/omg.py | swryan/OpenMDAO-Framework | f50d60e1a8cadac7fe03d26ffad5fb660b2a15ec | [
"Apache-2.0"
] | null | null | null | """ OpenMDAO GUI
This graphical user interface for OpenMDAO is implemented as a web application.
Running this file will start a tornado web server on a local port and open a
browser on that port. An up-to-date version of Chrome or Firefox with support
for WebSockets is required.
"""
import os
import signal
import s... | 36.151852 | 110 | 0.588259 | 1,092 | 9,761 | 5.130952 | 0.291209 | 0.018205 | 0.016063 | 0.009995 | 0.07139 | 0.042299 | 0.012493 | 0 | 0 | 0 | 0 | 0.003048 | 0.294232 | 9,761 | 269 | 111 | 36.286245 | 0.810277 | 0.047536 | 0 | 0.142045 | 0 | 0 | 0.193138 | 0.019156 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.113636 | null | null | 0.079545 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcc018897dfa0d7cbd2e1c6b70a4ad965a9993a5 | 4,566 | py | Python | plugins/dbnd-aws/src/dbnd_aws/sagemaker/estimator_config.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 224 | 2020-01-02T10:46:37.000Z | 2022-03-02T13:54:08.000Z | plugins/dbnd-aws/src/dbnd_aws/sagemaker/estimator_config.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 16 | 2020-03-11T09:37:58.000Z | 2022-01-26T10:22:08.000Z | plugins/dbnd-aws/src/dbnd_aws/sagemaker/estimator_config.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 24 | 2020-03-24T13:53:50.000Z | 2022-03-22T11:55:18.000Z | from typing import Dict
from dbnd import Config, parameter
class Algorithm(object):
PCA = "pca"
KMEANS = "kmeans"
LINEAR_LEARNER = "linear-learner"
FACTORIZATION_MACHINES = "factorization-machines"
NTM = "ntm"
RANDOMCUTFOREST = "randomcutforest"
KNN = "knn"
OBJECT2VEC = "object2vec"
... | 36.528 | 91 | 0.683968 | 501 | 4,566 | 6 | 0.271457 | 0.060546 | 0.082169 | 0.047904 | 0.403194 | 0.368596 | 0.368596 | 0.34664 | 0.29674 | 0.29674 | 0 | 0.004199 | 0.217696 | 4,566 | 124 | 92 | 36.822581 | 0.837346 | 0.033947 | 0 | 0.393939 | 0 | 0 | 0.183882 | 0.01521 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.050505 | 0.010101 | 0.575758 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
fcc1530ac8b10a17bd4fe4a2a933eb918ae322db | 1,050 | py | Python | tests/test_self_relation.py | 5thsymphony/sqlalchemy-to-ormar | 9b732739355c39e2d5237af7cb4c1aa15e7f356f | [
"MIT"
] | 5 | 2021-04-10T13:01:11.000Z | 2021-08-02T21:28:37.000Z | tests/test_self_relation.py | 5thsymphony/sqlalchemy-to-ormar | 9b732739355c39e2d5237af7cb4c1aa15e7f356f | [
"MIT"
] | 1 | 2021-04-29T17:22:10.000Z | 2021-05-03T16:40:40.000Z | tests/test_self_relation.py | 5thsymphony/sqlalchemy-to-ormar | 9b732739355c39e2d5237af7cb4c1aa15e7f356f | [
"MIT"
] | 1 | 2022-02-02T20:27:24.000Z | 2022-02-02T20:27:24.000Z | from databases import Database
from sqlalchemy import (
Column,
ForeignKey,
Integer,
MetaData,
String,
create_engine,
)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy_to_ormar import sqlalchemy_to_ormar
Base = declarative_base()
... | 27.631579 | 79 | 0.733333 | 128 | 1,050 | 5.789063 | 0.414063 | 0.080972 | 0.080972 | 0.051282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015837 | 0.158095 | 1,050 | 37 | 80 | 28.378378 | 0.822398 | 0.011429 | 0 | 0 | 0 | 0 | 0.046332 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 1 | 0.033333 | false | 0.033333 | 0.166667 | 0 | 0.533333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
fcc1d38991ad927da7c9cb2f94c47879d3c7c94d | 341 | py | Python | setup.py | medecau/yamly | 6d10f5e58ced6490489f8c7dff856cb1553fd7d7 | [
"MIT"
] | 1 | 2018-01-26T04:01:58.000Z | 2018-01-26T04:01:58.000Z | setup.py | medecau/yamly | 6d10f5e58ced6490489f8c7dff856cb1553fd7d7 | [
"MIT"
] | null | null | null | setup.py | medecau/yamly | 6d10f5e58ced6490489f8c7dff856cb1553fd7d7 | [
"MIT"
] | null | null | null | from distutils.core import setup
setup(name = 'yamly',
version = '0.1',
py_modules = ['yamly',],
description = "pyyaml wrapper",
author = "Pedro Rodrigues",
author_email = "medecau@gmail.com",
license = 'MIT',
url = "http://medecau.github.com/pyyaml/",
install_requires =... | 26.230769 | 48 | 0.580645 | 36 | 341 | 5.416667 | 0.805556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007937 | 0.260997 | 341 | 12 | 49 | 28.416667 | 0.765873 | 0 | 0 | 0 | 0 | 0 | 0.296188 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.090909 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcc9b8226e96c6e28f85197970bc3c0f4fa4224e | 1,219 | py | Python | Unit 5/t.py | yeshellohi/CodeHS-APCS-Java | f5dd2ecc6635b01d38d08f046bf893e36d20453e | [
"MIT"
] | 2 | 2021-04-21T21:27:25.000Z | 2021-04-21T21:27:27.000Z | Unit 5/t.py | hristojj/CodeHS-APCS-Java | 35257c9ce09b68d93b20d7c89a2b4be98e6b0698 | [
"MIT"
] | null | null | null | Unit 5/t.py | hristojj/CodeHS-APCS-Java | 35257c9ce09b68d93b20d7c89a2b4be98e6b0698 | [
"MIT"
] | null | null | null |
a="5.2.6 Our First Array"
b="5.2.7 Array Length"
c="5.2.8 Last Element in Array"
d="5.3.6 Print Array"
e="5.3.7 Print Odd Array Indices"
f="5.3.8 Find the Minimum Index"
g="5.3.12 Find the Median"
h="5.3.13 Top Student"
i="5.4.6 Get First Element"
j="5.4.9 Road Trip"
nameL = {1:a,
2:b,
3:c,
4:d,
... | 30.475 | 80 | 0.488925 | 185 | 1,219 | 2.945946 | 0.486486 | 0.110092 | 0.115596 | 0.044037 | 0.075229 | 0.051376 | 0 | 0 | 0 | 0 | 0 | 0.052247 | 0.21493 | 1,219 | 40 | 81 | 30.475 | 0.517241 | 0 | 0 | 0.057143 | 0 | 0 | 0.727966 | 0.216949 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcd051cc9d371ceb9894a4f98003dc7676180be6 | 2,405 | py | Python | src/display.py | Gravens/AirDimples | 5531b0e43afb1349b121a54bb8ab1dd29bba0a84 | [
"Apache-2.0"
] | null | null | null | src/display.py | Gravens/AirDimples | 5531b0e43afb1349b121a54bb8ab1dd29bba0a84 | [
"Apache-2.0"
] | 2 | 2021-07-14T09:32:01.000Z | 2021-07-19T16:25:15.000Z | src/display.py | Gravens/AirDimples | 5531b0e43afb1349b121a54bb8ab1dd29bba0a84 | [
"Apache-2.0"
] | 1 | 2021-07-14T15:31:02.000Z | 2021-07-14T15:31:02.000Z | import time
from threading import Thread
import cv2
import keyboard
import drawing
import utils
from config import config
from gameplay import GameWithFriendOpenVINO
from utils import log
class DisplayThread(Thread):
def __init__(self, frame_deque, joints_deque, fps=24, gui=None):
super().__init__()
... | 29.329268 | 118 | 0.600832 | 295 | 2,405 | 4.688136 | 0.325424 | 0.045553 | 0.040492 | 0.032538 | 0.093275 | 0.072307 | 0.072307 | 0.072307 | 0.072307 | 0.072307 | 0 | 0.009074 | 0.312682 | 2,405 | 81 | 119 | 29.691358 | 0.827586 | 0.012474 | 0 | 0.123077 | 0 | 0 | 0.026127 | 0 | 0 | 0 | 0 | 0.012346 | 0 | 1 | 0.092308 | false | 0 | 0.138462 | 0 | 0.261538 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcd6079c76e2339ed83df903d08fd0f21d9fd5ff | 1,524 | py | Python | lens_it.py | chemicoPy/lens_it | 36005bc82f1fec32280e91ee6841ba3a17db97aa | [
"Apache-2.0"
] | null | null | null | lens_it.py | chemicoPy/lens_it | 36005bc82f1fec32280e91ee6841ba3a17db97aa | [
"Apache-2.0"
] | 1 | 2021-06-19T13:03:08.000Z | 2021-06-24T20:36:58.000Z | lens_it.py | chemicoPy/lens_it | 36005bc82f1fec32280e91ee6841ba3a17db97aa | [
"Apache-2.0"
] | 1 | 2021-07-01T03:27:54.000Z | 2021-07-01T03:27:54.000Z | import numpy as np
from numpy import *
import pandas as pd
from pandas import DataFrame, Series
from numpy.random import randn
import tensorflow as tf
import matplotlib.pyplot as plt
from PIL import Image
import re
from skimage.io import imread, imshow
from termcolor import colored
import keras
import h5py
... | 24.983607 | 91 | 0.736877 | 232 | 1,524 | 4.737069 | 0.452586 | 0.043676 | 0.061874 | 0.057325 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020602 | 0.171916 | 1,524 | 60 | 92 | 25.4 | 0.850238 | 0 | 0 | 0 | 0 | 0 | 0.080988 | 0.024022 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.571429 | 0 | 0.571429 | 0.02381 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
fce0601a6ff2cda3356985a40d589f3821be9bbb | 1,222 | py | Python | tests/test_visitor.py | christophevg/schema-tools | 50e7650a4d13662f231234ec12b3c0a8af759c09 | [
"MIT"
] | 1 | 2020-11-15T20:57:20.000Z | 2020-11-15T20:57:20.000Z | tests/test_visitor.py | christophevg/schema-tools | 50e7650a4d13662f231234ec12b3c0a8af759c09 | [
"MIT"
] | null | null | null | tests/test_visitor.py | christophevg/schema-tools | 50e7650a4d13662f231234ec12b3c0a8af759c09 | [
"MIT"
] | null | null | null | from schema_tools import yaml
from schema_tools.schema import build
from schema_tools.schema.json import IntegerSchema, StringSchema, TupleItem
def test_allow_for_empty_properties():
# empty properties shouldn't fail building object schema from AST
ast = yaml.loads("""
something:
type: objec... | 30.55 | 75 | 0.724223 | 154 | 1,222 | 5.649351 | 0.253247 | 0.137931 | 0.16092 | 0.178161 | 0.632184 | 0.554023 | 0.468966 | 0.468966 | 0.468966 | 0.468966 | 0 | 0.005958 | 0.175941 | 1,222 | 39 | 76 | 31.333333 | 0.857994 | 0.156301 | 0 | 0.484848 | 0 | 0 | 0.164557 | 0 | 0 | 0 | 0 | 0 | 0.242424 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcf06f020add9f824d183bcba4b082d5c4bee1d3 | 2,200 | py | Python | experiments/detectability_one_net/train_model.py | cassianobecker/msbm | 6ce22f93f63071dc3ca722d499db376ea678eb23 | [
"MIT"
] | null | null | null | experiments/detectability_one_net/train_model.py | cassianobecker/msbm | 6ce22f93f63071dc3ca722d499db376ea678eb23 | [
"MIT"
] | null | null | null | experiments/detectability_one_net/train_model.py | cassianobecker/msbm | 6ce22f93f63071dc3ca722d499db376ea678eb23 | [
"MIT"
] | null | null | null | # Experiment that generates several sets of networks of varying CH-divergence types
# then trains an msbm of a single type in a "consensus" type of way. Then we report the
# average rand_index and average entropy of the z variables, which are indicators of how well
# the algorithm is learning the true model.
import o... | 34.920635 | 97 | 0.617273 | 313 | 2,200 | 4.14377 | 0.4377 | 0.037008 | 0.009252 | 0.018504 | 0.026214 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014076 | 0.257273 | 2,200 | 63 | 98 | 34.920635 | 0.779682 | 0.193636 | 0 | 0 | 1 | 0 | 0.096263 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0 | 0.136364 | 0 | 0.159091 | 0.022727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcf437071f3aca1716b10d46267ae94434da6f1c | 372 | py | Python | sparweltbitool/client_redis.py | checkout-charlie/bitool | e41ce66ab2b88992dbfc08d79372bf3965724f3e | [
"MIT"
] | null | null | null | sparweltbitool/client_redis.py | checkout-charlie/bitool | e41ce66ab2b88992dbfc08d79372bf3965724f3e | [
"MIT"
] | null | null | null | sparweltbitool/client_redis.py | checkout-charlie/bitool | e41ce66ab2b88992dbfc08d79372bf3965724f3e | [
"MIT"
] | 1 | 2015-07-22T16:53:42.000Z | 2015-07-22T16:53:42.000Z | import redis
from sparweltbitool.config import config
from sparweltbitool.singleton import Singleton
@Singleton
class ClientRedis(object):
""" Operations with Redis."""
def __init__(self):
self.r = redis.StrictRedis(
host=config.get('redis', 'host'),
port=config.get('redis',... | 21.882353 | 46 | 0.637097 | 41 | 372 | 5.682927 | 0.487805 | 0.11588 | 0.180258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.228495 | 372 | 16 | 47 | 23.25 | 0.811847 | 0.05914 | 0 | 0 | 0 | 0 | 0.072886 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.3 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcf50282811ffc8a770fa38ebbb80b3ac990778e | 6,317 | py | Python | analytics/analyser/tests/unittest_analyser.py | sadikovi/Pulsar | 3267426cf5bd676a3c4c20cbee88a80b89e65b0f | [
"Apache-2.0"
] | null | null | null | analytics/analyser/tests/unittest_analyser.py | sadikovi/Pulsar | 3267426cf5bd676a3c4c20cbee88a80b89e65b0f | [
"Apache-2.0"
] | 29 | 2015-02-23T07:59:13.000Z | 2015-04-05T09:49:53.000Z | analytics/analyser/tests/unittest_analyser.py | sadikovi/Pulsar | 3267426cf5bd676a3c4c20cbee88a80b89e65b0f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
'''
Copyright 2015 Ivan Sadikov
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to... | 39.72956 | 107 | 0.611999 | 692 | 6,317 | 5.524566 | 0.304913 | 0.020926 | 0.015694 | 0.022234 | 0.33717 | 0.324614 | 0.324614 | 0.303688 | 0.271515 | 0.271515 | 0 | 0.021555 | 0.25091 | 6,317 | 158 | 108 | 39.981013 | 0.786348 | 0.070128 | 0 | 0.317757 | 0 | 0 | 0.089002 | 0 | 0 | 0 | 0 | 0 | 0.11215 | 0 | null | null | 0 | 0.102804 | null | null | 0.028037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcf8e2c0ca1804414fbed4b83ad2f9184ee49834 | 1,246 | py | Python | 1._metis_models_and_data_2019-12-16b/METIS source code/Context actions/default/InvalidateKPIs.py | tamas-borbath/METIS | cf3dc0f0f96ccb6ad72ddf15ba7e31ddc6339036 | [
"CC-BY-4.0"
] | 1 | 2021-12-07T09:05:48.000Z | 2021-12-07T09:05:48.000Z | 1._metis_models_and_data_2019-12-16b/METIS source code/Context actions/default/InvalidateKPIs.py | tamas-borbath/METIS_data_and_scripts | cf3dc0f0f96ccb6ad72ddf15ba7e31ddc6339036 | [
"CC-BY-4.0"
] | null | null | null | 1._metis_models_and_data_2019-12-16b/METIS source code/Context actions/default/InvalidateKPIs.py | tamas-borbath/METIS_data_and_scripts | cf3dc0f0f96ccb6ad72ddf15ba7e31ddc6339036 | [
"CC-BY-4.0"
] | null | null | null | ########################################################
# Copyright (c) 2015-2017 by European Commission. #
# All Rights Reserved. #
########################################################
"""
This context action deletes all KPI values in the current context
"""
from com.artel... | 32.789474 | 149 | 0.668539 | 113 | 1,246 | 7.371681 | 0.530973 | 0.092437 | 0.120048 | 0.10084 | 0.156062 | 0.093637 | 0 | 0 | 0 | 0 | 0 | 0.007715 | 0.167737 | 1,246 | 37 | 150 | 33.675676 | 0.795564 | 0.174157 | 0 | 0.176471 | 0 | 0 | 0.119159 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0 | 0.117647 | 0 | 0.352941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcf9531b2057af5f9ea183e50dad9241ce6ec6e4 | 1,358 | py | Python | 2021/Day06/Day06-Prob2-Unlimited-fish.py | guilhermebaos/Advent-of-Code-Solutions | 232facf72a21284478134b2c56357352b4aaaf74 | [
"MIT"
] | null | null | null | 2021/Day06/Day06-Prob2-Unlimited-fish.py | guilhermebaos/Advent-of-Code-Solutions | 232facf72a21284478134b2c56357352b4aaaf74 | [
"MIT"
] | null | null | null | 2021/Day06/Day06-Prob2-Unlimited-fish.py | guilhermebaos/Advent-of-Code-Solutions | 232facf72a21284478134b2c56357352b4aaaf74 | [
"MIT"
] | null | null | null | # Puzzle Input ----------
with open('Day06-Input.txt', 'r') as file:
puzzle = list(map(int, file.read().split(',')))
with open('Day06-Test01.txt', 'r') as file:
test01 = list(map(int, file.read().split(',')))
# Main Code ----------
# Count the first few fish and organize them by age in a dictionary
def coun... | 29.521739 | 96 | 0.627393 | 223 | 1,358 | 3.547085 | 0.32287 | 0.159292 | 0.22756 | 0.115044 | 0.313527 | 0.058154 | 0 | 0 | 0 | 0 | 0 | 0.026393 | 0.246686 | 1,358 | 45 | 97 | 30.177778 | 0.746823 | 0.228277 | 0 | 0 | 0 | 0 | 0.033719 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0 | 0 | 0.173913 | 0.086957 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcfc93a2b90466a4bcdb00869bfa82e76236d6e4 | 2,980 | py | Python | cv-classify.py | linovaldivia/cv-classify | f60cb2e4de4d020ac51e6e046f5dc9c6a6c4656c | [
"MIT"
] | null | null | null | cv-classify.py | linovaldivia/cv-classify | f60cb2e4de4d020ac51e6e046f5dc9c6a6c4656c | [
"MIT"
] | null | null | null | cv-classify.py | linovaldivia/cv-classify | f60cb2e4de4d020ac51e6e046f5dc9c6a6c4656c | [
"MIT"
] | null | null | null | import sys
import getopt
import trainer
import classifier
def show_help():
print "options: "
print "-t, --training <training-data-dir> Enter training mode and use given directory for training data"
print "-c, --classify <img-dir> Enter classify mode, using the images in t... | 41.971831 | 259 | 0.590268 | 359 | 2,980 | 4.771588 | 0.292479 | 0.077058 | 0.031524 | 0.02627 | 0.088733 | 0.068885 | 0.046702 | 0 | 0 | 0 | 0 | 0.002378 | 0.294295 | 2,980 | 70 | 260 | 42.571429 | 0.812173 | 0.005705 | 0 | 0.080645 | 0 | 0.064516 | 0.386356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.064516 | null | null | 0.145161 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fcffd6e5c047818eed25631c704cc70770c625fb | 4,562 | py | Python | dream_machine/webgl/render_targets.py | Aeva/dream_machine | 6f8e913096806bf04d7db257a9033e580d5d46d4 | [
"Apache-2.0"
] | 3 | 2020-08-03T15:49:13.000Z | 2020-08-08T03:14:00.000Z | dream_machine/webgl/render_targets.py | Aeva/dream_machine | 6f8e913096806bf04d7db257a9033e580d5d46d4 | [
"Apache-2.0"
] | 28 | 2020-08-26T01:45:44.000Z | 2020-11-12T03:12:13.000Z | dream_machine/webgl/render_targets.py | Aeva/dream_machine | 6f8e913096806bf04d7db257a9033e580d5d46d4 | [
"Apache-2.0"
] | null | null | null |
# Copyright 2020 Aeva Palecek
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 32.820144 | 144 | 0.707584 | 495 | 4,562 | 6.329293 | 0.286869 | 0.045962 | 0.056176 | 0.042451 | 0.252154 | 0.252154 | 0.187041 | 0.157038 | 0.118736 | 0.082988 | 0 | 0.003754 | 0.182595 | 4,562 | 138 | 145 | 33.057971 | 0.836149 | 0.120342 | 0 | 0.277778 | 0 | 0.011111 | 0.150613 | 0.075056 | 0 | 0 | 0 | 0 | 0.022222 | 0 | null | null | 0 | 0.022222 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
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