hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 11
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 251 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 251 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 251 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.05M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.04M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
472e95ac4a9261e3fcd32bd608de33687d066d95 | 5,772 | py | Python | src/enviroment.py | Menoita99/Reinforcement-Learning-Based-Encoder-Decoder-Implementation- | ed67b4ef6e23ee403ca43dc061c94301f1c685af | [
"MIT"
] | 1 | 2021-07-11T13:12:08.000Z | 2021-07-11T13:12:08.000Z | src/enviroment.py | Menoita99/Reinforcement-Learning-Based-Encoder-Decoder-Implementation- | ed67b4ef6e23ee403ca43dc061c94301f1c685af | [
"MIT"
] | 1 | 2022-03-24T02:15:30.000Z | 2022-03-24T02:15:30.000Z | src/enviroment.py | Menoita99/Reinforcement-Learning-Based-Encoder-Decoder-Implementation- | ed67b4ef6e23ee403ca43dc061c94301f1c685af | [
"MIT"
] | 1 | 2021-07-11T13:12:08.000Z | 2021-07-11T13:12:08.000Z | import enum
import random
import pandas as pd
| 31.889503 | 175 | 0.560638 |
472ec64557b8a07de29a23ddc1a024b5551b7046 | 2,225 | py | Python | setup.py | MarkusH/django-osm-field | b7b8f6bd324a3dc29924962c303a6c4166840de4 | [
"MIT"
] | 23 | 2015-10-13T05:55:37.000Z | 2021-12-09T02:43:59.000Z | setup.py | MarkusH/django-osm-field | b7b8f6bd324a3dc29924962c303a6c4166840de4 | [
"MIT"
] | 18 | 2015-04-21T16:35:21.000Z | 2021-10-10T14:39:14.000Z | setup.py | MarkusH/django-osm-field | b7b8f6bd324a3dc29924962c303a6c4166840de4 | [
"MIT"
] | 13 | 2015-04-28T22:34:55.000Z | 2022-03-28T16:03:42.000Z | import setuptools
with open("README.md", "r") as f:
long_description = f.read()
setuptools.setup(
name="django-osm-field",
author="Markus Holtermann",
author_email="info@markusholtermann.eu",
description="Django OpenStreetMap Field",
license="MIT",
long_description=long_description,
lo... | 31.785714 | 98 | 0.545169 |
4730a28366b706a90435534ccea87bb676932eaa | 24,143 | py | Python | src/tools/bin/archive_to_arkivum.py | aherbert/omero-archiving | ce52a63215ea9b75a50d35ee9690fe37ee74794a | [
"0BSD"
] | 1 | 2021-07-08T11:03:34.000Z | 2021-07-08T11:03:34.000Z | src/tools/bin/archive_to_arkivum.py | aherbert/omero-archiving | ce52a63215ea9b75a50d35ee9690fe37ee74794a | [
"0BSD"
] | 1 | 2022-01-20T12:24:43.000Z | 2022-01-20T17:48:01.000Z | src/tools/bin/archive_to_arkivum.py | aherbert/omero-archiving | ce52a63215ea9b75a50d35ee9690fe37ee74794a | [
"0BSD"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted.
# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANT... | 33.672245 | 80 | 0.588121 |
4730cdda8c75e103b2413e71694e53ee48400e4d | 3,980 | py | Python | projects/Yolov3/convert.py | shellhue/detectron2 | a027f2fe0dc21eedd201727515c4e963cd007ec0 | [
"Apache-2.0"
] | 3 | 2019-12-18T09:04:21.000Z | 2020-04-21T08:31:26.000Z | projects/Yolov3/convert.py | shellhue/detectron2 | a027f2fe0dc21eedd201727515c4e963cd007ec0 | [
"Apache-2.0"
] | 4 | 2021-06-08T20:51:59.000Z | 2022-03-12T00:12:46.000Z | projects/Yolov3/convert.py | shellhue/detectron2 | a027f2fe0dc21eedd201727515c4e963cd007ec0 | [
"Apache-2.0"
] | 1 | 2020-03-14T05:39:43.000Z | 2020-03-14T05:39:43.000Z | import torch.nn as nn
import numpy as np
import torch
import os
from detectron2.config import get_cfg
from detectron2.engine import DefaultTrainer, default_argument_parser, default_setup, launch
from detectron2.evaluation import COCOEvaluator, verify_results
from yolov3 import add_yolov3_config
def setup(args):
... | 35.221239 | 97 | 0.626131 |
4732b7772eda8e5da2f3077d9fda0eed21160738 | 6,102 | py | Python | examples/al_logistic.py | kirthevasank/mps | 2ba818c361e467841f6bbe0ef47a1e833ef315d3 | [
"MIT"
] | 3 | 2019-08-11T22:50:51.000Z | 2021-08-03T06:39:04.000Z | examples/al_logistic.py | kirthevasank/mps | 2ba818c361e467841f6bbe0ef47a1e833ef315d3 | [
"MIT"
] | null | null | null | examples/al_logistic.py | kirthevasank/mps | 2ba818c361e467841f6bbe0ef47a1e833ef315d3 | [
"MIT"
] | 3 | 2019-08-11T22:53:00.000Z | 2021-04-15T13:16:43.000Z | """
An active learning example on a 1D parametric problem.
-- kandasamy@cs.cmu.edu
To execute this example, you will need to install the Edward probabilistic
programming language (http://edwardlib.org).
See http://edwardlib.org/iclr2017 for instructions.
"""
# pylint: disable=invalid-name
# pylint: disable=... | 36.759036 | 86 | 0.687807 |
5b25cfe6974828d106200cab739a7140d4fcfc56 | 306 | py | Python | settings/settings.py | guilhermegch/telegram-twitter-bot | 463517569e60d4caab5bf4fd36deac9b7f1bc2cd | [
"MIT"
] | 2 | 2020-12-24T15:10:43.000Z | 2021-02-13T05:23:10.000Z | settings/settings.py | guilhermegch/telegram-twitter-bot | 463517569e60d4caab5bf4fd36deac9b7f1bc2cd | [
"MIT"
] | 1 | 2021-02-26T16:30:36.000Z | 2021-02-26T16:30:36.000Z | settings/settings.py | guilhermegch/telegram-twitter-bot | 463517569e60d4caab5bf4fd36deac9b7f1bc2cd | [
"MIT"
] | null | null | null | import os
from dotenv import load_dotenv
load_dotenv()
TELEGRAM_TOKEN = os.getenv("TELEGRAM_TOKEN")
CHAT_ID = os.getenv("CHAT_ID")
API_KEY = os.getenv("API_KEY")
API_SECRET_KEY = os.getenv("API_SECRET_KEY")
ACCESS_TOKEN = os.getenv("ACCESS_TOKEN")
ACCESS_TOKEN_SECRET = os.getenv("ACCESS_TOKEN_SECRET")
| 23.538462 | 54 | 0.784314 |
5b262fe1cfdd19c11d28767c67a03711bd313651 | 12,917 | py | Python | rsbeams/rsstats/kinematic.py | radiasoft/rsbeams | 1a35c9222ee727a580d626b1791b2c29c1215346 | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2017-11-03T18:06:27.000Z | 2022-03-02T22:03:14.000Z | rsbeams/rsstats/kinematic.py | radiasoft/rsbeams | 1a35c9222ee727a580d626b1791b2c29c1215346 | [
"ECL-2.0",
"Apache-2.0"
] | 29 | 2018-01-14T16:48:28.000Z | 2022-03-25T21:17:36.000Z | rsbeams/rsstats/kinematic.py | radiasoft/rsbeams | 1a35c9222ee727a580d626b1791b2c29c1215346 | [
"ECL-2.0",
"Apache-2.0"
] | 23 | 2018-01-16T19:41:20.000Z | 2020-09-18T11:17:16.000Z | #!/usr/bin/env python
import sys
import argparse as arg
import numpy as np
from scipy.constants import e, c, m_e, physical_constants
from future.utils import iteritems
# TODO: Priority #1: Need to go back to the principle that user puts in whatever units they desire
# TODO: cont. All calculations internall are cgs an... | 42.630363 | 148 | 0.565379 |
5b26ea4b942bbea2547de23d670546a45074eb42 | 292 | py | Python | Python Basics/Week 4/assess_ac4_1_1_8.py | sasathornt/Python-3-Programming-Specialization | 34a204662112f8977bdd2831687a020d775d6f39 | [
"MIT"
] | 1 | 2020-04-17T14:22:15.000Z | 2020-04-17T14:22:15.000Z | Python Basics/Week 4/assess_ac4_1_1_8.py | sasathornt/Python-3-Programming-Specialization | 34a204662112f8977bdd2831687a020d775d6f39 | [
"MIT"
] | null | null | null | Python Basics/Week 4/assess_ac4_1_1_8.py | sasathornt/Python-3-Programming-Specialization | 34a204662112f8977bdd2831687a020d775d6f39 | [
"MIT"
] | null | null | null |
##Write code to switch the order of the winners list so that it is now Z to A. Assign this list to the variable z_winners.
winners = ['Alice Munro', 'Alvin E. Roth', 'Kazuo Ishiguro', 'Malala Yousafzai', 'Rainer Weiss', 'Youyou Tu']
z_winners = winners
z_winners.reverse()
print(z_winners) | 36.5 | 122 | 0.732877 |
5b272e873c9de7f31e79382b02ad299738f19a80 | 1,254 | py | Python | shreddit/app.py | llalon/Shreddit | 4b083121b8909aca39715390c6c61b5b9f11664d | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | shreddit/app.py | llalon/Shreddit | 4b083121b8909aca39715390c6c61b5b9f11664d | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | shreddit/app.py | llalon/Shreddit | 4b083121b8909aca39715390c6c61b5b9f11664d | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | """This module contains script entrypoints for shreddit.
"""
import argparse
import yaml
import logging
import os
import pkg_resources
from shreddit import default_config
from shreddit.shredder import Shredder
CONFIG_FILE_PATH = "/app/config/shreddit.yml"
if __name__ == "__main__":
try:
main()
exce... | 28.5 | 115 | 0.69697 |
5b28828610a5ad5e04acee2728602c3a07c4c935 | 476 | py | Python | helpers/bnp.py | wim-vdw/bank-statement-converter | c79f56a756778d249b38b871e02cf68d95b2943e | [
"MIT"
] | null | null | null | helpers/bnp.py | wim-vdw/bank-statement-converter | c79f56a756778d249b38b871e02cf68d95b2943e | [
"MIT"
] | null | null | null | helpers/bnp.py | wim-vdw/bank-statement-converter | c79f56a756778d249b38b871e02cf68d95b2943e | [
"MIT"
] | null | null | null | from PyPDF3 import PdfFileReader
| 29.75 | 60 | 0.661765 |
5b2959e590709993e1842b7c13e5e7666b0d0eed | 426 | py | Python | c15/p280_test1511.py | pkingpeng/-python- | f7c3269b6c13edf31449a3f21c3314c27095c984 | [
"Apache-2.0"
] | null | null | null | c15/p280_test1511.py | pkingpeng/-python- | f7c3269b6c13edf31449a3f21c3314c27095c984 | [
"Apache-2.0"
] | null | null | null | c15/p280_test1511.py | pkingpeng/-python- | f7c3269b6c13edf31449a3f21c3314c27095c984 | [
"Apache-2.0"
] | null | null | null | import time
print(time.time())
startTime = time.time()
result = calcProd()
endTime = time.time()
print('The result is %s digits long, took %s seconds to calculate.' % (len(str(result)), (endTime - startTime)))
"""
1586680463.075951
The result is 456569 digits long, took 2.2562198638916016 seconds to calculate.
""... | 18.521739 | 112 | 0.673709 |
5b2a2ee9eb529547d321f575db078e312ed392cd | 3,592 | py | Python | blog/user.py | mahdisj/flask_project | 464f892c4f67b0404c8d44517325f9a43496b22b | [
"BSD-3-Clause"
] | 1 | 2022-01-06T07:38:03.000Z | 2022-01-06T07:38:03.000Z | blog/user.py | mowbish/Blog_Project | 464f892c4f67b0404c8d44517325f9a43496b22b | [
"BSD-3-Clause"
] | 2 | 2021-08-18T18:56:35.000Z | 2021-08-19T13:42:18.000Z | blog/user.py | mowbish/Blog_Project | 464f892c4f67b0404c8d44517325f9a43496b22b | [
"BSD-3-Clause"
] | 4 | 2021-08-12T13:28:13.000Z | 2021-09-01T14:15:10.000Z | from flask import Blueprint
from flask import g
from flask import flash
from flask import redirect
from flask import render_template
from flask import request
from flask import url_for
from werkzeug.exceptions import abort
from werkzeug.utils import secure_filename
from bson import ObjectId
from blog.auth imp... | 31.234783 | 119 | 0.548719 |
5b2d3bb33aaf00064a4a81aefce63447edda3498 | 100 | py | Python | Python-Hackerrank/Eye and Identity.py | nihalkhan2810/Data-Structures-Algorithms | 3224fba18dcdbb1c6cc3d7f7a16df4ed0e0a321d | [
"MIT"
] | 10 | 2020-05-02T14:42:15.000Z | 2021-01-26T16:51:47.000Z | Python-Hackerrank/Eye and Identity.py | nihalkhan2810/Data-Structures-Algorithms | 3224fba18dcdbb1c6cc3d7f7a16df4ed0e0a321d | [
"MIT"
] | null | null | null | Python-Hackerrank/Eye and Identity.py | nihalkhan2810/Data-Structures-Algorithms | 3224fba18dcdbb1c6cc3d7f7a16df4ed0e0a321d | [
"MIT"
] | 13 | 2020-03-05T13:31:11.000Z | 2021-01-29T08:14:26.000Z | import numpy
print(str(numpy.eye(*map(int,input().split()))).replace('1',' 1').replace('0',' 0'))
| 20 | 84 | 0.61 |
5b2ea698bf453d5761c99858fd3248bda11d4d8d | 160 | py | Python | main.py | NChechulin/telegram-renderer-bot | 3b66a550022bce1604a073a2c922d6c9597f508f | [
"MIT"
] | 1 | 2020-09-20T04:36:11.000Z | 2020-09-20T04:36:11.000Z | main.py | NChechulin/telegram-renderer-bot | 3b66a550022bce1604a073a2c922d6c9597f508f | [
"MIT"
] | 2 | 2020-04-04T21:02:49.000Z | 2020-04-06T11:16:17.000Z | main.py | NChechulin/telegram-renderer-bot | 3b66a550022bce1604a073a2c922d6c9597f508f | [
"MIT"
] | null | null | null | """Main file which starts the bot and sets all of the parameters"""
from bot import Bot
if __name__ == '__main__':
bot = Bot('token.txt')
bot.start()
| 20 | 67 | 0.6625 |
5b2fe9458d92b9142657735d809e3eae76a1581c | 14,009 | py | Python | tpRigToolkit/tools/controlrig/widgets/controlviewer.py | tpRigToolkit/tpRigToolkit-tools-controlrig | 46e15377d64418bcc4bc8944c3f9537603fa0e9d | [
"MIT"
] | null | null | null | tpRigToolkit/tools/controlrig/widgets/controlviewer.py | tpRigToolkit/tpRigToolkit-tools-controlrig | 46e15377d64418bcc4bc8944c3f9537603fa0e9d | [
"MIT"
] | null | null | null | tpRigToolkit/tools/controlrig/widgets/controlviewer.py | tpRigToolkit/tpRigToolkit-tools-controlrig | 46e15377d64418bcc4bc8944c3f9537603fa0e9d | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module that contains control viewer widget for tpRigToolkit.tools.controlrig
"""
from __future__ import print_function, division, absolute_import
import math
from copy import copy
from Qt.QtCore import QPoint, QPointF, QRect, QRectF, QLineF
from Qt.QtWidgets import... | 36.481771 | 119 | 0.572346 |
5b31e7140c554c44dbfaf956752e0ce5c615d9a0 | 3,647 | py | Python | sinfo/perifericos/views.py | webdesigncuba/Sinfo | 15998b43057b0c0f13083a3017f27740c64239bf | [
"MIT"
] | null | null | null | sinfo/perifericos/views.py | webdesigncuba/Sinfo | 15998b43057b0c0f13083a3017f27740c64239bf | [
"MIT"
] | null | null | null | sinfo/perifericos/views.py | webdesigncuba/Sinfo | 15998b43057b0c0f13083a3017f27740c64239bf | [
"MIT"
] | null | null | null | #
# Created on Sat Dec 25 2021
#
# The MIT License (MIT)
# Copyright (c) 2021 David Cordero Rosales
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software
# and associated documentation files (the "Software"), to deal in the Software without restriction,
# including without li... | 33.458716 | 122 | 0.718124 |
5b332c72b302cfe177178082cf6acc6352315dcc | 2,548 | py | Python | autogluon/utils/tabular/ml/models/tab_transformer/hyperparameters/parameters.py | joshr17/autogluon | 893cf20ad761751886a827e2d10710eb6df61291 | [
"Apache-2.0"
] | null | null | null | autogluon/utils/tabular/ml/models/tab_transformer/hyperparameters/parameters.py | joshr17/autogluon | 893cf20ad761751886a827e2d10710eb6df61291 | [
"Apache-2.0"
] | null | null | null | autogluon/utils/tabular/ml/models/tab_transformer/hyperparameters/parameters.py | joshr17/autogluon | 893cf20ad761751886a827e2d10710eb6df61291 | [
"Apache-2.0"
] | null | null | null | from ....constants import BINARY, MULTICLASS, REGRESSION
def get_fixed_params():
""" Parameters that currently cannot be searched during HPO
TODO: HPO NOT CURRENTLY IMPLEMENTED FOR TABTRANSFORMER
Will need to figure out what (in future PR) is "fixed" and what is searchable. """
fixed_params = {'batch_s... | 44.701754 | 86 | 0.431319 |
5b346d8eb912e92694627beff6d3cb24dfe08b7c | 327 | py | Python | Accounts/migrations/0014_remove_timetable_class_time.py | Anand911/E-LEARNING-SCLMAXO- | a16c317ae482c91f4f91c967ddc3e498a43ac7e9 | [
"MIT"
] | 1 | 2021-02-14T10:43:21.000Z | 2021-02-14T10:43:21.000Z | Accounts/migrations/0014_remove_timetable_class_time.py | Anand911/E-LEARNING-SCLMAXO- | a16c317ae482c91f4f91c967ddc3e498a43ac7e9 | [
"MIT"
] | 1 | 2021-01-12T07:22:08.000Z | 2021-01-13T19:07:02.000Z | Accounts/migrations/0014_remove_timetable_class_time.py | Anand911/E-LEARNING-SCLMAXO- | a16c317ae482c91f4f91c967ddc3e498a43ac7e9 | [
"MIT"
] | 6 | 2020-12-13T17:46:37.000Z | 2021-02-10T13:47:25.000Z | # Generated by Django 3.1.3 on 2020-12-18 12:59
from django.db import migrations
| 18.166667 | 47 | 0.590214 |
5b375610f2df94425cc6ff0fc566d0f540dd1a07 | 93 | py | Python | app/crawlzero/apps.py | rputh055/crawlzerotest | 6dfd919b2d59b5d3eec7ea9b2f5ff149428ae83f | [
"MIT"
] | null | null | null | app/crawlzero/apps.py | rputh055/crawlzerotest | 6dfd919b2d59b5d3eec7ea9b2f5ff149428ae83f | [
"MIT"
] | null | null | null | app/crawlzero/apps.py | rputh055/crawlzerotest | 6dfd919b2d59b5d3eec7ea9b2f5ff149428ae83f | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 15.5 | 33 | 0.763441 |
5b37b2fb348d45fd02d8f2acaf70e041233fe2f7 | 1,334 | py | Python | fastflix/encoders/copy/settings_panel.py | AwesomeGitHubRepos/FastFlix | 60adf2b68a13907ac17013cb621867b2b302c101 | [
"MIT"
] | 1 | 2021-06-14T04:35:50.000Z | 2021-06-14T04:35:50.000Z | fastflix/encoders/copy/settings_panel.py | AwesomeGitHubRepos/FastFlix | 60adf2b68a13907ac17013cb621867b2b302c101 | [
"MIT"
] | 1 | 2020-12-24T13:08:56.000Z | 2020-12-24T13:08:56.000Z | fastflix/encoders/copy/settings_panel.py | leonardyan/FastFlix | 01f19c2de74945a4c60db61711aea9d3fe01b0cc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
from qtpy import QtWidgets
from fastflix.encoders.common.setting_panel import SettingPanel
from fastflix.language import t
from fastflix.models.encode import CopySettings
from fastflix.models.fastflix_app import FastFlixApp
logger = logging.getLogger("fastflix")
| 36.054054 | 109 | 0.715142 |
5b38ee5a6db9bcb14bd052bda891d575c9747173 | 1,611 | py | Python | thermo_images/teste.py | brochinejr/thermo_images | be9f6d6fa26f58301d102a7cdcc8ca32a69a5289 | [
"RSA-MD"
] | null | null | null | thermo_images/teste.py | brochinejr/thermo_images | be9f6d6fa26f58301d102a7cdcc8ca32a69a5289 | [
"RSA-MD"
] | null | null | null | thermo_images/teste.py | brochinejr/thermo_images | be9f6d6fa26f58301d102a7cdcc8ca32a69a5289 | [
"RSA-MD"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
import cv2
from skimage.data import astronaut
from skimage.color import rgb2gray
from skimage.filters import sobel
from skimage.segmentation import felzenszwalb, slic, quickshift, watershed
from skimage.segmentation import mark_boundaries
from skimage.util import img_... | 38.357143 | 90 | 0.770329 |
5b3912de771cac5c847fca87045280e13b237dd4 | 2,048 | py | Python | tests/test_params.py | matthewjohnpayne/MPCData | bf5cc4b846437928d3c7e4bfb8d809f8bf9f9dc4 | [
"MIT"
] | null | null | null | tests/test_params.py | matthewjohnpayne/MPCData | bf5cc4b846437928d3c7e4bfb8d809f8bf9f9dc4 | [
"MIT"
] | null | null | null | tests/test_params.py | matthewjohnpayne/MPCData | bf5cc4b846437928d3c7e4bfb8d809f8bf9f9dc4 | [
"MIT"
] | null | null | null | # mpcdata/tests/test_query.py
# import pytest
# Third-party imports
import os
# Import the specific package/module/function we are testing
import mpcdata.params as params
# from .context import mpcdata
def test_required_dictionaries_exist():
"""
Does params.py contain all of the required dictionaries ?
"... | 32 | 111 | 0.679199 |
5b3953f91cb7e3a0cd0d67201766483abefb5893 | 229 | py | Python | Week 3/Python Track/Permituation.py | Dawit-Getachew/A2SV_Practice | 2fe06d725e0acfe668c6dae98fe3ef6e6e26ef61 | [
"MIT"
] | null | null | null | Week 3/Python Track/Permituation.py | Dawit-Getachew/A2SV_Practice | 2fe06d725e0acfe668c6dae98fe3ef6e6e26ef61 | [
"MIT"
] | null | null | null | Week 3/Python Track/Permituation.py | Dawit-Getachew/A2SV_Practice | 2fe06d725e0acfe668c6dae98fe3ef6e6e26ef61 | [
"MIT"
] | null | null | null | # Enter your code here. Read input from STDIN. Print output to STDOUT
from itertools import permutations
s1 = input().split()
S2 = sorted(tuple(s1[0]))
out = tuple(permutations(S2,int(s1[1])))
for i in out:
print("".join(i))
| 28.625 | 69 | 0.69869 |
5b39d240262b13166339eac3bbfa745be468bf90 | 1,685 | py | Python | tests/chainer_tests/functions_tests/math_tests/test_linear_interpolate.py | zaltoprofen/chainer | 3b03f9afc80fd67f65d5e0395ef199e9506b6ee1 | [
"MIT"
] | 3,705 | 2017-06-01T07:36:12.000Z | 2022-03-30T10:46:15.000Z | tests/chainer_tests/functions_tests/math_tests/test_linear_interpolate.py | zaltoprofen/chainer | 3b03f9afc80fd67f65d5e0395ef199e9506b6ee1 | [
"MIT"
] | 5,998 | 2017-06-01T06:40:17.000Z | 2022-03-08T01:42:44.000Z | tests/chainer_tests/functions_tests/math_tests/test_linear_interpolate.py | zaltoprofen/chainer | 3b03f9afc80fd67f65d5e0395ef199e9506b6ee1 | [
"MIT"
] | 1,150 | 2017-06-02T03:39:46.000Z | 2022-03-29T02:29:32.000Z | import numpy
from chainer import functions
from chainer import testing
from chainer import utils
testing.run_module(__name__, __file__)
| 27.622951 | 70 | 0.588131 |
5b3c6f097c1609e8407e35a3ba36afcad1ca179f | 1,290 | py | Python | python/exercicios mundo 2/ex36_45.py/ex011.py | LEXW3B/PYTHON | 1ae54ea709c008bd7fab7602e034773610e7985e | [
"MIT"
] | 1 | 2022-01-05T08:51:16.000Z | 2022-01-05T08:51:16.000Z | python/exercicios mundo 2/ex36_45.py/ex011.py | LEXW3B/PYTHON | 1ae54ea709c008bd7fab7602e034773610e7985e | [
"MIT"
] | null | null | null | python/exercicios mundo 2/ex36_45.py/ex011.py | LEXW3B/PYTHON | 1ae54ea709c008bd7fab7602e034773610e7985e | [
"MIT"
] | null | null | null | #45-crie um programa que faa o computador jogar jokenpo com voce.
print('=====JOKENPO=====')
print('')
from random import randint
from time import sleep
itens = ('pedra','papel','tesoura')
computador = randint(0, 2)
print('''FAA SUA ESCOLHA
[ 0 ] pedra
[ 1 ] papel
[ 2 ] tesoura
''')
jogador = int(input('Qual a sua jog... | 20.47619 | 66 | 0.589922 |
5b3d1a1a7b9ced330a393b5b36de18c6dc02c5f8 | 5,940 | py | Python | pyvcloud/vcd/vm.py | pacogomez/pyvcloud | 731aded20b999d269472caf65df774c284dd49b6 | [
"Apache-2.0"
] | null | null | null | pyvcloud/vcd/vm.py | pacogomez/pyvcloud | 731aded20b999d269472caf65df774c284dd49b6 | [
"Apache-2.0"
] | 1 | 2017-12-28T13:50:54.000Z | 2017-12-28T17:28:15.000Z | pyvcloud/vcd/vm.py | pacogomez/pyvcloud | 731aded20b999d269472caf65df774c284dd49b6 | [
"Apache-2.0"
] | 1 | 2017-12-28T10:22:55.000Z | 2017-12-28T10:22:55.000Z | # VMware vCloud Director Python SDK
# Copyright (c) 2017 VMware, Inc. 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
#... | 37.125 | 79 | 0.639394 |
5b3d25843802a6a90ece238f7b25e27cfaa9ff9d | 8,105 | py | Python | backend/api/models.py | ezequielaranda/solservicios | 275405e628b17543a42b28a9bc25bea345669aae | [
"MIT"
] | null | null | null | backend/api/models.py | ezequielaranda/solservicios | 275405e628b17543a42b28a9bc25bea345669aae | [
"MIT"
] | 6 | 2020-05-07T19:32:26.000Z | 2021-06-10T22:56:56.000Z | backend/api/models.py | ezequielaranda/solservicios | 275405e628b17543a42b28a9bc25bea345669aae | [
"MIT"
] | null | null | null | from django.db import models
from rest_framework import serializers
from django.utils import timezone
from django.contrib.auth.models import User
# Definicin de la clase PROVEEDOR
# Definicin de la TIPOS de PRODUCTO
# Definicin de las FAMILIAS de PRODUCTO
#Definicin de la clase ACCION
# Definicin de la clase PRODU... | 41.142132 | 109 | 0.744232 |
5b3e1ecc5b38c542cefb82dcef9d99e754c07ad0 | 8,113 | py | Python | Leak #5 - Lost In Translation/windows/Resources/Dsz/PyScripts/Lib/dsz/mca/survey/cmd/passworddump/errors.py | bidhata/EquationGroupLeaks | 1ff4bc115cb2bd5bf2ed6bf769af44392926830c | [
"Unlicense"
] | 9 | 2019-11-22T04:58:40.000Z | 2022-02-26T16:47:28.000Z | Leak #5 - Lost In Translation/windows/Resources/Dsz/PyScripts/Lib/dsz/mca/survey/cmd/passworddump/errors.py | bidhata/EquationGroupLeaks | 1ff4bc115cb2bd5bf2ed6bf769af44392926830c | [
"Unlicense"
] | null | null | null | Leak #5 - Lost In Translation/windows/Resources/Dsz/PyScripts/Lib/dsz/mca/survey/cmd/passworddump/errors.py | bidhata/EquationGroupLeaks | 1ff4bc115cb2bd5bf2ed6bf769af44392926830c | [
"Unlicense"
] | 8 | 2017-09-27T10:31:18.000Z | 2022-01-08T10:30:46.000Z | # uncompyle6 version 2.9.10
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.0b2 (default, Oct 11 2016, 05:27:10)
# [GCC 6.2.0 20161005]
# Embedded file name: errors.py
import mcl.status
ERR_SUCCESS = mcl.status.MCL_SUCCESS
ERR_INVALID_PARAM = mcl.status.framework.ERR_START
ERR_NOT_IMPLEMENTED = mcl.status.... | 68.754237 | 109 | 0.824972 |
5b3efa495764e79db80a8d873dca101b98d76f42 | 682 | py | Python | meep/__init__.py | mtander/meep | 5b8085014d43f9201b2283bc7d9085f1ace20406 | [
"MIT"
] | null | null | null | meep/__init__.py | mtander/meep | 5b8085014d43f9201b2283bc7d9085f1ace20406 | [
"MIT"
] | null | null | null | meep/__init__.py | mtander/meep | 5b8085014d43f9201b2283bc7d9085f1ace20406 | [
"MIT"
] | null | null | null | from flask import Flask
from config import DefaultConfig
# factory method for creating app objects
| 27.28 | 56 | 0.752199 |
5b3f258a42659e83c84a193664cad0abb36435d6 | 22,508 | py | Python | inversehaar.py | matthewearl/inversehaar | 876cfb055e656e1c75ef25dbfbecdf3ce9f8ad3b | [
"MIT"
] | 20 | 2016-01-18T12:26:06.000Z | 2019-04-15T11:13:49.000Z | inversehaar.py | matthewearl/inversehaar | 876cfb055e656e1c75ef25dbfbecdf3ce9f8ad3b | [
"MIT"
] | null | null | null | inversehaar.py | matthewearl/inversehaar | 876cfb055e656e1c75ef25dbfbecdf3ce9f8ad3b | [
"MIT"
] | 4 | 2017-05-31T02:40:41.000Z | 2020-04-22T10:38:03.000Z | #!/usr/bin/env python
# Copyright (c) 2015 Matthew Earl
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify,... | 36.070513 | 83 | 0.571708 |
5b41dca0dc7f5a816592454fec9d09eb00293d8b | 199 | py | Python | users/urls.py | a-vek/news-aggregator | d1aafbf7f2eed365ba734912e494af5c92728379 | [
"MIT"
] | null | null | null | users/urls.py | a-vek/news-aggregator | d1aafbf7f2eed365ba734912e494af5c92728379 | [
"MIT"
] | null | null | null | users/urls.py | a-vek/news-aggregator | d1aafbf7f2eed365ba734912e494af5c92728379 | [
"MIT"
] | null | null | null | from django.urls import path
from news.views import scrape, news_list
from . import views
urlpatterns = [
# path('', views.index, name="home"),
# path('newslist', news_list, name="home"),
]
| 22.111111 | 47 | 0.678392 |
5b42b16965f1e6f2275117ba1529d214339f949e | 4,735 | py | Python | communication/socket_util.py | compix/MetadataManagerCore | 59ff0bd908d69c624834d72e64f4e0bff01f2a49 | [
"MIT"
] | null | null | null | communication/socket_util.py | compix/MetadataManagerCore | 59ff0bd908d69c624834d72e64f4e0bff01f2a49 | [
"MIT"
] | null | null | null | communication/socket_util.py | compix/MetadataManagerCore | 59ff0bd908d69c624834d72e64f4e0bff01f2a49 | [
"MIT"
] | null | null | null | import socket
import json
import struct
from concurrent.futures import ThreadPoolExecutor
import time
import logging
logger = logging.getLogger(__name__)
if __name__ == "__main__":
serverSocket = JsonSocket()
serverSocket.connectServer(5000)
g_executor = ThreadPoolExecutor(max_workers=1)
g_executor.s... | 31.993243 | 96 | 0.640127 |
5b4477c7ff32f21e1eedcba6eff6f119beced119 | 1,120 | py | Python | src/api/migrations/0003_auto_20190604_1058.py | pradipta/back-end | 05895b051afc4c8e0cb17db708063d80102e9de5 | [
"MIT"
] | 17 | 2019-05-11T22:15:34.000Z | 2022-03-26T22:45:33.000Z | src/api/migrations/0003_auto_20190604_1058.py | pradipta/back-end | 05895b051afc4c8e0cb17db708063d80102e9de5 | [
"MIT"
] | 390 | 2019-05-23T10:48:57.000Z | 2021-12-17T21:01:43.000Z | src/api/migrations/0003_auto_20190604_1058.py | pradipta/back-end | 05895b051afc4c8e0cb17db708063d80102e9de5 | [
"MIT"
] | 40 | 2019-05-21T14:41:57.000Z | 2021-01-30T13:39:38.000Z | # Generated by Django 2.2.2 on 2019-06-04 15:58
from django.db import migrations
| 37.333333 | 58 | 0.686607 |
5b45b7ebc3202d65284b774cf188919577862056 | 370 | py | Python | Stomp/Utils/util.py | phan91/STOMP_agilis | c47394e7b58809fdd3eba539b6fa610eb8b476ce | [
"MIT"
] | null | null | null | Stomp/Utils/util.py | phan91/STOMP_agilis | c47394e7b58809fdd3eba539b6fa610eb8b476ce | [
"MIT"
] | null | null | null | Stomp/Utils/util.py | phan91/STOMP_agilis | c47394e7b58809fdd3eba539b6fa610eb8b476ce | [
"MIT"
] | null | null | null | import re
def replace_all(repls, str):
"""
Applies replacements as described in the repls dictionary on input str.
:param repls: Dictionary of replacements
:param str: The string to be changed
:return: The changed string
"""
return re.sub('|'.join(re.escape(key) for key in repls.keys()),
... | 30.833333 | 75 | 0.645946 |
5b46be0de52122650ce7b53028183e21f425fa14 | 185 | py | Python | ex048.py | CarlosEduardoAS/Python-exercicios | c0063660191a86e83f25708239b62b6764a51670 | [
"MIT"
] | null | null | null | ex048.py | CarlosEduardoAS/Python-exercicios | c0063660191a86e83f25708239b62b6764a51670 | [
"MIT"
] | null | null | null | ex048.py | CarlosEduardoAS/Python-exercicios | c0063660191a86e83f25708239b62b6764a51670 | [
"MIT"
] | null | null | null | s = 0
cont = 0
for c in range(1, 501, 2):
if c % 3 == 0:
cont += 1
s += c
print('A soma ente todos os {} mpares mltiplos de 3 entre 1 e 500 {}.'.format(cont, s)) | 26.428571 | 91 | 0.524324 |
5b46cfa3134f9db13338c6b633fbe8af7e2e0a25 | 4,153 | py | Python | source/casual/make/compiler/gcc.py | casualcore/casual-make | 935392bc54d2e1fb86a20406f668774de63a7cb1 | [
"MIT"
] | null | null | null | source/casual/make/compiler/gcc.py | casualcore/casual-make | 935392bc54d2e1fb86a20406f668774de63a7cb1 | [
"MIT"
] | null | null | null | source/casual/make/compiler/gcc.py | casualcore/casual-make | 935392bc54d2e1fb86a20406f668774de63a7cb1 | [
"MIT"
] | null | null | null | import platform
import casual.make.platform.common as common
import casual.make.tools.environment as environment
CXX = common.cxx()
COMPILER = CXX
OPTIONAL_FLAGS = common.optional_flags()
VERSION_DIRECTIVE = common.casual_build_version()
GITHASH_DIRECTIVE = common.casual_build_commit_hash()
# Linkers
LIBRARY_L... | 30.762963 | 99 | 0.650614 |
5b46e230e630204c976c8ffe3cfb3b96c0f2ab66 | 3,914 | py | Python | modificar_pacientes.py | Ratius9919/TP-programacion | bbe7040333b0319ca609fa61147519ee9c6434b0 | [
"Apache-2.0"
] | null | null | null | modificar_pacientes.py | Ratius9919/TP-programacion | bbe7040333b0319ca609fa61147519ee9c6434b0 | [
"Apache-2.0"
] | null | null | null | modificar_pacientes.py | Ratius9919/TP-programacion | bbe7040333b0319ca609fa61147519ee9c6434b0 | [
"Apache-2.0"
] | null | null | null | import os
dni = input("Cual es el DNI que desea modificar?")
main(dni) | 30.818898 | 114 | 0.566684 |
5b47c020381d563cd22c6d5f79397ba250b6cf19 | 266 | py | Python | solutions/pybasic_ex1_4_1.py | mfernandes61/python-basic | fc105db0e2e3af1830d833eef368fd011b4fcf5e | [
"Unlicense"
] | 40 | 2017-02-22T05:35:16.000Z | 2022-01-10T09:28:35.000Z | solutions/pybasic_ex1_4_1.py | mfernandes61/python-basic | fc105db0e2e3af1830d833eef368fd011b4fcf5e | [
"Unlicense"
] | 10 | 2016-12-12T17:06:50.000Z | 2019-06-14T13:34:22.000Z | solutions/pybasic_ex1_4_1.py | mfernandes61/python-basic | fc105db0e2e3af1830d833eef368fd011b4fcf5e | [
"Unlicense"
] | 47 | 2017-03-24T19:48:50.000Z | 2022-02-27T15:53:09.000Z | # Protein sequence given
seq = "MPISEPTFFEIF"
# Split the sequence into its component amino acids
seq_list = list(seq)
# Use a set to establish the unique amino acids
unique_amino_acids = set(seq_list)
# Print out the unique amino acids
print(unique_amino_acids)
| 22.166667 | 51 | 0.781955 |
5b47c29aaab3cdf3c4e1671a310113a2c0e1ba3f | 486 | py | Python | campy/private/backends/backend_interactive_console.py | TristenSeth/campy | 9e726c342d682239e1c19e6f5645c0b2167d7fab | [
"MIT"
] | null | null | null | campy/private/backends/backend_interactive_console.py | TristenSeth/campy | 9e726c342d682239e1c19e6f5645c0b2167d7fab | [
"MIT"
] | null | null | null | campy/private/backends/backend_interactive_console.py | TristenSeth/campy | 9e726c342d682239e1c19e6f5645c0b2167d7fab | [
"MIT"
] | null | null | null | from campy.private.backend_base import ConsoleBackendBase
| 20.25 | 57 | 0.658436 |
5b485cb1cc265a14ca9183a9c1f8a057dc3e6b2f | 2,608 | py | Python | apps/examples/simple-example/test/integration/test_it_collect_spawn.py | pcanto-hopeit/hopeit.engine | c17b0438e56940a4d1b2f071cca90ae8b6f70629 | [
"Apache-2.0"
] | 15 | 2020-07-09T17:41:14.000Z | 2021-10-04T20:13:08.000Z | apps/examples/simple-example/test/integration/test_it_collect_spawn.py | pcanto-hopeit/hopeit.engine | c17b0438e56940a4d1b2f071cca90ae8b6f70629 | [
"Apache-2.0"
] | 48 | 2020-07-10T15:16:17.000Z | 2022-03-03T19:46:46.000Z | apps/examples/simple-example/test/integration/test_it_collect_spawn.py | pcanto-hopeit/hopeit.engine | c17b0438e56940a4d1b2f071cca90ae8b6f70629 | [
"Apache-2.0"
] | 3 | 2020-07-08T20:12:58.000Z | 2021-01-10T15:57:21.000Z | import os
import uuid
import pytest # type: ignore
from hopeit.testing.apps import execute_event
from hopeit.server.version import APPS_API_VERSION
from model import Something
from simple_example.collector.collect_spawn import ItemsInfo, ItemsCollected
APP_VERSION = APPS_API_VERSION.replace('.', "x")
| 41.396825 | 94 | 0.577071 |
5b487a8b99ccb82c0f1a7123624b4438aa8ebb71 | 1,767 | py | Python | app.py | ruturajshete1008/Heart-health-prediction | 75fe4232f19014ed2b6fb2463c815ba023ad7a0d | [
"MIT"
] | 3 | 2018-11-28T04:30:15.000Z | 2019-01-02T09:13:03.000Z | app.py | ruturajshete1008/Heart-health-prediction | 75fe4232f19014ed2b6fb2463c815ba023ad7a0d | [
"MIT"
] | null | null | null | app.py | ruturajshete1008/Heart-health-prediction | 75fe4232f19014ed2b6fb2463c815ba023ad7a0d | [
"MIT"
] | null | null | null | from flask import Flask, jsonify, render_template
import pandas as pd
import os
import pymongo
from flask import send_from_directory
from pymongo import MongoClient
# initialize flask app
app = Flask(__name__)
app.config['JSON_SORT_KEYS'] = False
# read the data and merge it
df_labels = pd.read_csv('train_labels.csv... | 26.772727 | 89 | 0.710243 |
5b48b34a9e7a2aa7d8ebb9fa3eabb138aabac88b | 15,103 | py | Python | tests/test_transform.py | braedon/kong-log-bridge | a2f7622f1ad77af93036b221243f556853c34343 | [
"MIT"
] | 2 | 2021-03-10T20:12:28.000Z | 2021-07-24T05:54:46.000Z | tests/test_transform.py | braedon/kong-log-bridge | a2f7622f1ad77af93036b221243f556853c34343 | [
"MIT"
] | null | null | null | tests/test_transform.py | braedon/kong-log-bridge | a2f7622f1ad77af93036b221243f556853c34343 | [
"MIT"
] | null | null | null | import unittest
from kong_log_bridge.transform import transform_log
| 44.683432 | 653 | 0.449315 |
5b48f5f2c39f9a6ca862b7d0c171aebace55201c | 655 | py | Python | tests/utils.py | ilyarogozin/homework_bot | 52bc4c028edb2a80082d4902fb35d09a3b98fc7c | [
"MIT"
] | null | null | null | tests/utils.py | ilyarogozin/homework_bot | 52bc4c028edb2a80082d4902fb35d09a3b98fc7c | [
"MIT"
] | null | null | null | tests/utils.py | ilyarogozin/homework_bot | 52bc4c028edb2a80082d4902fb35d09a3b98fc7c | [
"MIT"
] | null | null | null | from inspect import signature
from types import ModuleType
def check_function(scope: ModuleType, func_name: str, params_qty: int = 0):
"""Checks if scope has a function with specific name and params with qty"""
assert hasattr(scope, func_name), (
f' `{func_name}`. '
' .'
)
func ... | 28.478261 | 79 | 0.658015 |
5b4a8c62ba6b42395b0ef146b30118ae4a735b55 | 539 | py | Python | train.py | ex7763/pytorch-HED | 8695c996af48d917851bfe629ca219471d40aa5c | [
"MIT"
] | null | null | null | train.py | ex7763/pytorch-HED | 8695c996af48d917851bfe629ca219471d40aa5c | [
"MIT"
] | null | null | null | train.py | ex7763/pytorch-HED | 8695c996af48d917851bfe629ca219471d40aa5c | [
"MIT"
] | null | null | null | import torch
import yaml
import argparse
from dataset.BSD500 import BSD500Dataset
from models.HED import HED
###############
# parse cfg
###############
parser = argparse.ArgumentParser()
parser.add_argument('--cfg', dest='cfg', required=True, help='path to config file')
args = parser.parse_known_args()
args = pars... | 17.387097 | 83 | 0.625232 |
5b4aa60fac414c1e92f0c6cad337e78c14c64cbe | 3,482 | py | Python | tests/unit/hypernode_vagrant_runner/commands/test_parse_start_runner_arguments.py | vdloo/hypernode-vagrant-runner | 241b9612769b74b536a43f4e6821003c5f1ea2c3 | [
"MIT"
] | null | null | null | tests/unit/hypernode_vagrant_runner/commands/test_parse_start_runner_arguments.py | vdloo/hypernode-vagrant-runner | 241b9612769b74b536a43f4e6821003c5f1ea2c3 | [
"MIT"
] | null | null | null | tests/unit/hypernode_vagrant_runner/commands/test_parse_start_runner_arguments.py | vdloo/hypernode-vagrant-runner | 241b9612769b74b536a43f4e6821003c5f1ea2c3 | [
"MIT"
] | null | null | null | from mock import ANY, call
from hypernode_vagrant_runner.commands import parse_start_runner_arguments
from hypernode_vagrant_runner.settings import HYPERNODE_VAGRANT_PHP_VERSIONS, \
HYPERNODE_VAGRANT_DEFAULT_USER, HYPERNODE_VAGRANT_DEFAULT_PHP_VERSION, \
HYPERNODE_VAGRANT_USERS
from tests.testcase import TestC... | 31.369369 | 101 | 0.670879 |
5b4d5fdd9c41e3cd542218051f15a30c5892c606 | 161 | py | Python | Configs/UNet_Configs.py | zeeshanalipnhwr/Semantic-Segmentation-Keras | 304af52c60a16e32da9f1e3f57c653f578cc8bf5 | [
"MIT"
] | 3 | 2020-04-13T07:56:03.000Z | 2020-10-13T12:56:00.000Z | Configs/UNet_Configs.py | zeeshanalipnhwr/Semantic-Segmentation-Keras | 304af52c60a16e32da9f1e3f57c653f578cc8bf5 | [
"MIT"
] | null | null | null | Configs/UNet_Configs.py | zeeshanalipnhwr/Semantic-Segmentation-Keras | 304af52c60a16e32da9f1e3f57c653f578cc8bf5 | [
"MIT"
] | 2 | 2020-04-06T02:09:04.000Z | 2020-04-06T09:43:36.000Z | DEPTH = 16 # the number of filters of the first conv layer of the encoder of the UNet
# Training hyperparameters
BATCHSIZE = 16
EPOCHS = 100
OPTIMIZER = "adam"
| 23 | 85 | 0.751553 |
5b4efefa7c72bf1ac0d47d8be34d61c51dd67ac7 | 571 | py | Python | geinos/app/core/radius/radius.py | falhenaki/GEINOS | c0bf883c582972b08ab5ee45d2bd0463d6c48087 | [
"MIT"
] | 3 | 2018-03-19T16:51:21.000Z | 2019-01-18T22:52:19.000Z | geinos/app/core/radius/radius.py | falhenaki/GEINOS | c0bf883c582972b08ab5ee45d2bd0463d6c48087 | [
"MIT"
] | 261 | 2018-02-08T16:24:26.000Z | 2018-08-07T03:38:16.000Z | geinos/app/core/radius/radius.py | falhenaki/GEINOS | c0bf883c582972b08ab5ee45d2bd0463d6c48087 | [
"MIT"
] | null | null | null | from sqlalchemy import *
from sqlalchemy import Column, String
from sqlalchemy.ext.declarative import declarative_base
from app.core.sqlalchemy_base.augmented_base import CustomMixin
Base = declarative_base()
| 33.588235 | 76 | 0.628722 |
5b51429e70bf3b023a44e4c609ce439b41983428 | 2,747 | py | Python | FCN.py | xinming365/DL-exercise | 3ef153bc1aa791889cd37a7d3c14bef3937c459a | [
"Apache-2.0"
] | null | null | null | FCN.py | xinming365/DL-exercise | 3ef153bc1aa791889cd37a7d3c14bef3937c459a | [
"Apache-2.0"
] | 1 | 2020-07-31T13:15:06.000Z | 2020-07-31T13:17:34.000Z | FCN.py | xinming365/DL-exercise | 3ef153bc1aa791889cd37a7d3c14bef3937c459a | [
"Apache-2.0"
] | null | null | null | # Author : xinming
# Time : 2020/06/27
# Imports
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.utils.data import DataLoader
import torchvision.datasets as datasets
import torchvision.transforms as transforms
#Create fully connected network
# Base class for a... | 28.319588 | 114 | 0.680743 |
5b51b63f59cf7aeec2c467a2071c5cf2def5fcc8 | 15,485 | py | Python | skexplain/common/utils.py | monte-flora/scikit-explain | d93ca4c77d1d47e613479ae36cc055ffaafea88c | [
"MIT"
] | null | null | null | skexplain/common/utils.py | monte-flora/scikit-explain | d93ca4c77d1d47e613479ae36cc055ffaafea88c | [
"MIT"
] | 7 | 2022-03-06T01:51:33.000Z | 2022-03-28T13:06:34.000Z | skexplain/common/utils.py | monte-flora/scikit-explain | d93ca4c77d1d47e613479ae36cc055ffaafea88c | [
"MIT"
] | null | null | null | import numpy as np
import xarray as xr
import pandas as pd
from collections import ChainMap
from statsmodels.distributions.empirical_distribution import ECDF
from scipy.stats import t
def check_all_features_for_ale(ale, estimator_names, features):
""" Is there ALE values for each feature """
data_vars = ... | 31.156942 | 97 | 0.619309 |
5b539203b00b4fad7af2f3522746cdd2fcb16ed4 | 5,941 | py | Python | recipes/recipe_modules/powershell/resources/psinvoke.py | xswz8015/infra | f956b78ce4c39cc76acdda47601b86794ae0c1ba | [
"BSD-3-Clause"
] | null | null | null | recipes/recipe_modules/powershell/resources/psinvoke.py | xswz8015/infra | f956b78ce4c39cc76acdda47601b86794ae0c1ba | [
"BSD-3-Clause"
] | 7 | 2022-02-15T01:11:37.000Z | 2022-03-02T12:46:13.000Z | recipes/recipe_modules/powershell/resources/psinvoke.py | NDevTK/chromium-infra | d38e088e158d81f7f2065a38aa1ea1894f735ec4 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2021 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import subprocess
import argparse
import sys
import os
import re
import json
import codecs
import platform
# Used to run commands through powershell on wind... | 30.782383 | 80 | 0.650059 |
5b54b2dda0833770af7c0575bf7b026b9ce83b41 | 5,628 | py | Python | Cinema 4D/Clean.py | FitchOpenSource/C4D-To-Unity | a7b976d552ff4f44df473240623409b5768ea322 | [
"MIT"
] | 2 | 2017-09-06T13:19:35.000Z | 2017-11-17T18:42:08.000Z | Cinema 4D/Clean.py | FitchOpenSource/C4D-To-Unity | a7b976d552ff4f44df473240623409b5768ea322 | [
"MIT"
] | null | null | null | Cinema 4D/Clean.py | FitchOpenSource/C4D-To-Unity | a7b976d552ff4f44df473240623409b5768ea322 | [
"MIT"
] | null | null | null | import c4d
from c4d import gui, documents
#Welcome to the world of Python
#Create a unique name for the materials and remove unorthodox characters
#def findNameObject(string, objects, cnt):
#
#cnt = cnt + 1
#tmp = string;
#string = string + "_" + str(cnt)
#if objects.count(string) == 0:
... | 28.14 | 113 | 0.598792 |
5b56109d5d5abec15a2278c520d6306048bb083e | 270 | py | Python | templates/flask/flaskRest/app/configs/config.py | david-osas/create-basic-app | 860fc579672855093ad8426fb01d010de4c7cff8 | [
"MIT"
] | 2 | 2020-12-01T11:33:36.000Z | 2020-12-01T12:25:49.000Z | templates/flask/flaskRest/app/configs/config.py | david-osas/create-basic-app | 860fc579672855093ad8426fb01d010de4c7cff8 | [
"MIT"
] | 2 | 2020-11-25T14:38:57.000Z | 2020-11-25T22:55:25.000Z | templates/flask/flaskRest/app/configs/config.py | david-osas/create-basic-app | 860fc579672855093ad8426fb01d010de4c7cff8 | [
"MIT"
] | 2 | 2020-11-26T08:59:50.000Z | 2021-03-30T20:01:06.000Z | from .development_config import DevelopmentConfig
from .production_config import ProductionConfig
from .testing_config import TestingConfig
ENVIRONMENT_MAPPING = {
"production": ProductionConfig,
"development": DevelopmentConfig,
"testing": TestingConfig
}
| 27 | 49 | 0.807407 |
5b561f3a8cc1973bf3b5ae98192b62df11c2ad7d | 743 | py | Python | LeetCode/Python/160.intersection-of-two-linked-lists.py | Alfonsxh/LeetCode-Challenge-python | e93f93fd58d1945708d6aa300dcbcd17d0708274 | [
"MIT"
] | null | null | null | LeetCode/Python/160.intersection-of-two-linked-lists.py | Alfonsxh/LeetCode-Challenge-python | e93f93fd58d1945708d6aa300dcbcd17d0708274 | [
"MIT"
] | null | null | null | LeetCode/Python/160.intersection-of-two-linked-lists.py | Alfonsxh/LeetCode-Challenge-python | e93f93fd58d1945708d6aa300dcbcd17d0708274 | [
"MIT"
] | null | null | null | #
# @lc app=leetcode id=160 lang=python
#
# [160] Intersection of Two Linked Lists
#
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
# https://leetcode-cn.com/problems/intersection-of-two-linked-lists/solution/tu-jie-xiang-j... | 27.518519 | 121 | 0.625841 |
5b593df1d532c6d0fa3c3a20d72a0f9c45807594 | 3,475 | py | Python | test/client/test_utils.py | DobromirM/swim-system-python | a5b4f05457f1eb2739a920c42dfc721c83a1226a | [
"Apache-2.0"
] | 8 | 2019-11-11T19:38:59.000Z | 2022-01-06T11:13:04.000Z | test/client/test_utils.py | swimos/swim-system-python | 727c09b6e7300b063e320364373ff724d9b8af90 | [
"Apache-2.0"
] | 40 | 2019-10-29T10:35:49.000Z | 2021-05-14T22:18:35.000Z | test/client/test_utils.py | DobromirM/swim-system-python | a5b4f05457f1eb2739a920c42dfc721c83a1226a | [
"Apache-2.0"
] | 3 | 2020-01-31T18:28:58.000Z | 2021-08-25T08:53:13.000Z | # Copyright 2015-2021 SWIM.AI inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | 28.483607 | 75 | 0.601151 |
5b5975a909c1137119120f7fc6fd7242b0e2d766 | 656 | py | Python | regtests/list/slice.py | ahakingdom/Rusthon | 5b6b78111b62281cd1381e53362c5d4b520ade30 | [
"BSD-3-Clause"
] | 622 | 2015-01-01T14:53:51.000Z | 2022-03-27T14:52:25.000Z | regtests/list/slice.py | ahakingdom/Rusthon | 5b6b78111b62281cd1381e53362c5d4b520ade30 | [
"BSD-3-Clause"
] | 74 | 2015-01-05T01:24:09.000Z | 2021-04-26T00:06:38.000Z | regtests/list/slice.py | ahakingdom/Rusthon | 5b6b78111b62281cd1381e53362c5d4b520ade30 | [
"BSD-3-Clause"
] | 67 | 2015-01-18T22:54:54.000Z | 2022-03-01T12:54:23.000Z | from runtime import *
"""list slice"""
main()
| 13.387755 | 29 | 0.501524 |
5b5a42e3e8c1b9664b17bcd555310e3c00b19953 | 4,661 | py | Python | src/test/test.py | ntalabot/base_dl_project_struct | 2a8b52081baf678fec4b74b16f41dd22a3d0eb21 | [
"MIT"
] | null | null | null | src/test/test.py | ntalabot/base_dl_project_struct | 2a8b52081baf678fec4b74b16f41dd22a3d0eb21 | [
"MIT"
] | null | null | null | src/test/test.py | ntalabot/base_dl_project_struct | 2a8b52081baf678fec4b74b16f41dd22a3d0eb21 | [
"MIT"
] | null | null | null | """
Module for testing models (evaluation, predictions).
"""
import numpy as np
import matplotlib.pyplot as plt
import torch
import torchvision
def predict_dataloader(model, dataloader, discard_target=True):
"""
Return predictions for the given dataloader and model.
Parameters
----------
mo... | 30.464052 | 79 | 0.617035 |
5b5b10607266561433613c17a985d903f65eb540 | 524 | py | Python | forums/migrations/0007_auto_20191203_0820.py | phiratio/django-forums-app | a8d50b436bc34f74ab8c58234f5f7cf5175e00c5 | [
"MIT"
] | 22 | 2019-10-14T20:57:18.000Z | 2022-01-13T11:32:16.000Z | forums/migrations/0007_auto_20191203_0820.py | phiratio/django-forums-app | a8d50b436bc34f74ab8c58234f5f7cf5175e00c5 | [
"MIT"
] | 22 | 2019-10-16T12:21:59.000Z | 2021-12-16T14:05:46.000Z | forums/migrations/0007_auto_20191203_0820.py | phiratio/django-forums-app | a8d50b436bc34f74ab8c58234f5f7cf5175e00c5 | [
"MIT"
] | 10 | 2019-10-15T19:55:30.000Z | 2022-02-27T13:53:55.000Z | # Generated by Django 2.2.5 on 2019-12-03 08:20
from django.db import migrations, models
import django.db.models.deletion
| 26.2 | 102 | 0.599237 |
5b5b2553a6c42f4fdcde3de08cf09dc44f4ebc02 | 4,078 | py | Python | hw4/generate.py | anthonywchen/uci-statnlp | 0cb98fecda11158601702f9fdb4f85a8011b5f5c | [
"Apache-2.0"
] | 16 | 2017-01-19T21:36:05.000Z | 2022-03-07T05:49:01.000Z | hw4/generate.py | anthonywchen/uci-statnlp | 0cb98fecda11158601702f9fdb4f85a8011b5f5c | [
"Apache-2.0"
] | null | null | null | hw4/generate.py | anthonywchen/uci-statnlp | 0cb98fecda11158601702f9fdb4f85a8011b5f5c | [
"Apache-2.0"
] | 82 | 2017-01-22T00:06:51.000Z | 2021-10-07T11:45:48.000Z | import argparse
import json
import random
import jsonlines
import tqdm
from transformers import BartTokenizer, BartForConditionalGeneration
import decoders
from models import TransformerModel
random.seed(0)
def generate_summary(model, tokenizer, document, decoder):
""" Generates a summary for a single document... | 33.702479 | 88 | 0.61844 |
5b5d7896ccaafcb748c653f5c939c542c31a8d1a | 1,048 | py | Python | xain/grpc/test_grpc.py | skade/xain | 4d9a84b64d98dd4229968755110c60e1c0fd51f7 | [
"Apache-2.0"
] | null | null | null | xain/grpc/test_grpc.py | skade/xain | 4d9a84b64d98dd4229968755110c60e1c0fd51f7 | [
"Apache-2.0"
] | null | null | null | xain/grpc/test_grpc.py | skade/xain | 4d9a84b64d98dd4229968755110c60e1c0fd51f7 | [
"Apache-2.0"
] | null | null | null | from concurrent import futures
import grpc
import numpy as np
import pytest
from numproto import ndarray_to_proto, proto_to_ndarray
from xain.grpc import hellonumproto_pb2, hellonumproto_pb2_grpc
from xain.grpc.numproto_server import NumProtoServer
# pylint: disable=W0613,W0621
| 27.578947 | 72 | 0.753817 |
5b5e91b7967d2987cec2827cf1d367005896b8b4 | 7,920 | py | Python | AffluenceCounter/app/tracker.py | dvalladaresv/AIVA_2021_Deteccion_de_actividad_grupo_F | 5966c83b3eaeab37b19f6f2a070cd906209df4cc | [
"MIT"
] | null | null | null | AffluenceCounter/app/tracker.py | dvalladaresv/AIVA_2021_Deteccion_de_actividad_grupo_F | 5966c83b3eaeab37b19f6f2a070cd906209df4cc | [
"MIT"
] | 4 | 2021-05-08T16:53:34.000Z | 2021-05-09T18:31:34.000Z | AffluenceCounter/app/tracker.py | dvalladaresv/AIVA_2021_Deteccion_de_actividad_grupo_F | 5966c83b3eaeab37b19f6f2a070cd906209df4cc | [
"MIT"
] | 1 | 2022-03-21T19:16:14.000Z | 2022-03-21T19:16:14.000Z | import cv2
OPENCV_OBJECT_TRACKERS = {
"csrt": cv2.TrackerCSRT_create,
"kcf": cv2.TrackerKCF_create,
"mil": cv2.TrackerMIL_create
}
| 29.886792 | 100 | 0.529419 |
5b5eb638f3c45dd8372789c8fa5a6b4ca5ba99fc | 738 | py | Python | app/middlewares/apikey_auth.py | meongbego/IOT_ADRINI | 0923b86a9d1da5d6859b70726ad1e041aecc97b2 | [
"MIT"
] | 1 | 2019-07-27T12:17:23.000Z | 2019-07-27T12:17:23.000Z | app/middlewares/apikey_auth.py | meongbego/ADRINI_IOT_PLATFORM | 0923b86a9d1da5d6859b70726ad1e041aecc97b2 | [
"MIT"
] | 4 | 2021-04-18T11:41:31.000Z | 2021-06-01T23:12:19.000Z | app/middlewares/apikey_auth.py | sofyan48/ADRINI_IOT_PLATFORM | 0923b86a9d1da5d6859b70726ad1e041aecc97b2 | [
"MIT"
] | null | null | null | from functools import wraps
from app.helpers.rest import *
from app import redis_store
from flask import request
from app.models import model as db
import hashlib
| 29.52 | 71 | 0.605691 |
5b60c8c38a51a827116df702a80c66bfa7ab4576 | 4,204 | py | Python | tests/recog_tests.py | anthonys01/snip2fumen | 43f5cda3cffd34108082b6653216df9a0480025a | [
"MIT"
] | null | null | null | tests/recog_tests.py | anthonys01/snip2fumen | 43f5cda3cffd34108082b6653216df9a0480025a | [
"MIT"
] | 2 | 2022-02-12T07:48:15.000Z | 2022-02-18T21:50:49.000Z | tests/recog_tests.py | anthonys01/snip2fumen | 43f5cda3cffd34108082b6653216df9a0480025a | [
"MIT"
] | null | null | null | """
Test image to fumen conversion
"""
import unittest
from snip2fumen.recog import BoardRecognizer, FumenEncoder
if __name__ == '__main__':
unittest.main()
| 38.218182 | 96 | 0.578259 |
5b62f78362a43ef686c374acc27b359783b74d27 | 337 | py | Python | src/utility.py | wadinj/out_of_many_one | a6563a2b7bbcf66479c4cefe9bc6541d0cc5ba59 | [
"MIT"
] | null | null | null | src/utility.py | wadinj/out_of_many_one | a6563a2b7bbcf66479c4cefe9bc6541d0cc5ba59 | [
"MIT"
] | null | null | null | src/utility.py | wadinj/out_of_many_one | a6563a2b7bbcf66479c4cefe9bc6541d0cc5ba59 | [
"MIT"
] | null | null | null | """ General purpose functions """
import hashlib
LOGGING_FORMAT = '%(asctime)s %(levelname)s: %(message)s'
def hash_from_strings(items):
""" Produce a hash value from the combination of all str elements """
JOIN_KEY = '+|+'
item_text = JOIN_KEY.join(items).encode('utf-8')
return hashlib.sha256(item_t... | 28.083333 | 73 | 0.691395 |
5b64ae0e55cb234089cde25553e4f5c0de44b4d8 | 2,558 | py | Python | gqa/data/datasets/gqa.py | xiling42/VL-BERT | 4573b4e1e82b6c092d4830d0b88821e9ee1a81fb | [
"MIT"
] | null | null | null | gqa/data/datasets/gqa.py | xiling42/VL-BERT | 4573b4e1e82b6c092d4830d0b88821e9ee1a81fb | [
"MIT"
] | null | null | null | gqa/data/datasets/gqa.py | xiling42/VL-BERT | 4573b4e1e82b6c092d4830d0b88821e9ee1a81fb | [
"MIT"
] | null | null | null | import json
import os
import pickle
import numpy as np
from PIL import Image
import torch
from torch.utils.data import Dataset
from torchvision import transforms
import h5py
from .transforms import Scale
img = None
img_info = {}
transform = transforms.Compose([
Scale([224, 224]),
transforms.Pad(4),
tran... | 30.452381 | 93 | 0.598124 |
5b661dbcb573ffb3020fc029bc865c3b7a199ad0 | 2,019 | py | Python | progressivis/core/changemanager_dict.py | jdfekete/progressivis | 3bc79ce229cd628ef0aa4663136a674743697b47 | [
"BSD-2-Clause"
] | 51 | 2015-09-14T16:31:02.000Z | 2022-01-12T17:56:53.000Z | progressivis/core/changemanager_dict.py | jdfekete/progressivis | 3bc79ce229cd628ef0aa4663136a674743697b47 | [
"BSD-2-Clause"
] | 10 | 2017-11-15T15:10:05.000Z | 2022-01-19T07:36:43.000Z | progressivis/core/changemanager_dict.py | jdfekete/progressivis | 3bc79ce229cd628ef0aa4663136a674743697b47 | [
"BSD-2-Clause"
] | 5 | 2017-11-14T20:20:56.000Z | 2020-01-22T06:26:51.000Z |
from .changemanager_base import BaseChangeManager
from ..utils.psdict import PsDict
from ..table.tablechanges import TableChanges
from .slot import Slot
import copy
Slot.add_changemanager_type(PsDict, DictChangeManager)
| 33.65 | 74 | 0.594849 |
5b66e22e0d96cd42bf15f9bdcbe03461e565fd2f | 1,813 | py | Python | classifier/classes/data/loaders/Loader.py | canary-for-cognition/multimodal-dl-framework | 54ebd3c6dcdfc48ed619316321d9f0e7a5f0fc9c | [
"MIT"
] | 2 | 2021-08-31T08:58:30.000Z | 2021-09-02T14:32:30.000Z | classifier/classes/data/loaders/Loader.py | canary-for-cognition/multimodal-nn-framework | 7733376b05840e2b3dead438dd3981db9694b6ae | [
"MIT"
] | 5 | 2020-09-22T04:29:25.000Z | 2020-12-20T16:16:47.000Z | classifier/classes/data/loaders/Loader.py | canary-for-cognition/multimodal-nn-framework | 7733376b05840e2b3dead438dd3981db9694b6ae | [
"MIT"
] | 1 | 2021-02-09T18:40:55.000Z | 2021-02-09T18:40:55.000Z | import os
import torch
from classifier.classes.utils.Params import Params
| 40.288889 | 104 | 0.690017 |
5b67e852602727d6512e5eacbc68b00f61443e8e | 9,486 | py | Python | rel2/bluecat_app/bin/bluecat/entity.py | mheidir/BlueCatSG-SplunkApp-UnOfficial | bd914b8650d191e48c18acda5bdd70aeabb99207 | [
"Apache-2.0"
] | 1 | 2018-06-26T14:57:54.000Z | 2018-06-26T14:57:54.000Z | rel2/bluecat_app/bin/bluecat/entity.py | mheidir/BlueCatSG-SplunkApp-UnOfficial | bd914b8650d191e48c18acda5bdd70aeabb99207 | [
"Apache-2.0"
] | null | null | null | rel2/bluecat_app/bin/bluecat/entity.py | mheidir/BlueCatSG-SplunkApp-UnOfficial | bd914b8650d191e48c18acda5bdd70aeabb99207 | [
"Apache-2.0"
] | null | null | null | from suds import WebFault
from api_exception import api_exception
from util import *
from version import version
from wrappers.generic_setters import *
| 34.747253 | 151 | 0.613641 |
5b695471ab29b797681a7c5ba85992682e02db15 | 137 | py | Python | users/admin.py | rossm6/accounts | 74633ce4038806222048d85ef9dfe97a957a6a71 | [
"MIT"
] | 11 | 2021-01-23T01:09:54.000Z | 2021-01-25T07:16:30.000Z | users/admin.py | rossm6/accounts | 74633ce4038806222048d85ef9dfe97a957a6a71 | [
"MIT"
] | 7 | 2021-04-06T18:19:10.000Z | 2021-09-22T19:45:03.000Z | users/admin.py | rossm6/accounts | 74633ce4038806222048d85ef9dfe97a957a6a71 | [
"MIT"
] | 3 | 2021-01-23T18:55:32.000Z | 2021-02-16T17:47:59.000Z | from django.contrib import admin
from users.models import Lock, UserSession
admin.site.register(Lock)
admin.site.register(UserSession)
| 19.571429 | 42 | 0.824818 |
5b6a869041b8f7099f1366b7e23ffabaa5619e62 | 1,083 | py | Python | selenium/load-html-from-string-instead-of-url/main.py | whitmans-max/python-examples | 881a8f23f0eebc76816a0078e19951893f0daaaa | [
"MIT"
] | 140 | 2017-02-21T22:49:04.000Z | 2022-03-22T17:51:58.000Z | selenium/load-html-from-string-instead-of-url/main.py | whitmans-max/python-examples | 881a8f23f0eebc76816a0078e19951893f0daaaa | [
"MIT"
] | 5 | 2017-12-02T19:55:00.000Z | 2021-09-22T23:18:39.000Z | selenium/load-html-from-string-instead-of-url/main.py | whitmans-max/python-examples | 881a8f23f0eebc76816a0078e19951893f0daaaa | [
"MIT"
] | 79 | 2017-01-25T10:53:33.000Z | 2022-03-11T16:13:57.000Z | #!/usr/bin/env python3
# date: 2019.11.24
import selenium.webdriver
driver = selenium.webdriver.Firefox()
html_content = """
<div class=div1>
<ul>
<li>
<a href='path/to/div1stuff/1'>Generic string 1</a>
<a href='path/to/div1stuff/2'>Generic string 2</a>
... | 26.414634 | 99 | 0.54663 |
5b6ad3dccf84bb8ff4fe870c3a1a16f0ee7630a4 | 263 | py | Python | Python_codes/palindrome_string/palindrome.py | latedeveloper08/hacktober2021 | 3b2b4781668221b32dd96e2335157572b00dcf56 | [
"MIT"
] | null | null | null | Python_codes/palindrome_string/palindrome.py | latedeveloper08/hacktober2021 | 3b2b4781668221b32dd96e2335157572b00dcf56 | [
"MIT"
] | null | null | null | Python_codes/palindrome_string/palindrome.py | latedeveloper08/hacktober2021 | 3b2b4781668221b32dd96e2335157572b00dcf56 | [
"MIT"
] | null | null | null | string=input("Enter a string:")
length=len(string)
mid=length//2
rev=-1
for a in range(mid):
if string[a]==string[rev]:
a+=1
rev=-1
else:
print(string,"is a palindrome")
break
else:
print(string,"is not a palindrome")
| 17.533333 | 39 | 0.585551 |
5b6e0169ead672709cd2da73eb412706af67a106 | 3,841 | py | Python | PythonClient/Framework/ModCameraGimble.py | SweetShot/AirSim | d43269f9387fdac03298d14416ecf6af43b6fd12 | [
"MIT"
] | null | null | null | PythonClient/Framework/ModCameraGimble.py | SweetShot/AirSim | d43269f9387fdac03298d14416ecf6af43b6fd12 | [
"MIT"
] | null | null | null | PythonClient/Framework/ModCameraGimble.py | SweetShot/AirSim | d43269f9387fdac03298d14416ecf6af43b6fd12 | [
"MIT"
] | 2 | 2018-03-07T18:23:42.000Z | 2020-02-12T19:58:32.000Z | from ModBase import *
import setup_path
import airsim
import copy
| 40.431579 | 116 | 0.601146 |
5b6fbfdce0aeea51fda85018f63eb008c4350c82 | 174 | py | Python | gluoncv/data/video_custom/__init__.py | Kh4L/gluon-cv | 849411ed56632cd854850b07142087d599f97dcb | [
"Apache-2.0"
] | 5,447 | 2018-04-25T18:02:51.000Z | 2022-03-31T00:59:49.000Z | gluoncv/data/video_custom/__init__.py | Kh4L/gluon-cv | 849411ed56632cd854850b07142087d599f97dcb | [
"Apache-2.0"
] | 1,566 | 2018-04-25T21:14:04.000Z | 2022-03-31T06:42:42.000Z | gluoncv/data/video_custom/__init__.py | Kh4L/gluon-cv | 849411ed56632cd854850b07142087d599f97dcb | [
"Apache-2.0"
] | 1,345 | 2018-04-25T18:44:13.000Z | 2022-03-30T19:32:53.000Z | # pylint: disable=wildcard-import
"""
Customized data loader for video classification related tasks.
"""
from __future__ import absolute_import
from .classification import *
| 24.857143 | 62 | 0.804598 |
5b6fc9e9dc0aa155879b2501fe4a3f2cf129de50 | 809 | py | Python | CAV Test and Evaluation/Scaled-vehicle-in-the-loop/catkin_ws/src/tongjirc/script/talker.py | tongjirc/Intelligent-Vehicle-and-Road | 1c6b35612007bb0a20aafd39e5ec9ab9d67ec2e3 | [
"MIT"
] | 3 | 2019-07-22T01:19:25.000Z | 2020-11-16T02:42:07.000Z | CAV Test and Evaluation/Scaled-vehicle-in-the-loop/catkin_ws/src/tongjirc/script/talker.py | tongjirc/Intelligent-Vehicle-and-Road | 1c6b35612007bb0a20aafd39e5ec9ab9d67ec2e3 | [
"MIT"
] | null | null | null | CAV Test and Evaluation/Scaled-vehicle-in-the-loop/catkin_ws/src/tongjirc/script/talker.py | tongjirc/Intelligent-Vehicle-and-Road | 1c6b35612007bb0a20aafd39e5ec9ab9d67ec2e3 | [
"MIT"
] | 1 | 2020-11-16T02:42:08.000Z | 2020-11-16T02:42:08.000Z | #!/usr/bin/env python2
#created by Alvin zixuan tongjirc
#Oct. 1th 2018
import rospy
import time
from std_msgs.msg import String,Duration
from trajectory_msgs.msg import JointTrajectoryPoint
jp=JointTrajectoryPoint()
if __name__ == '__main__':
try:
talker()
except rospy.ROSInterruptException:
... | 26.096774 | 72 | 0.660074 |
5b728343141af718346ac4978505ec35a2d52270 | 470 | py | Python | problems/greedy/Solution870.py | akalu/cs-problems-python | 9b1bd8e3932be62135a38a77f955ded9a766b654 | [
"MIT"
] | null | null | null | problems/greedy/Solution870.py | akalu/cs-problems-python | 9b1bd8e3932be62135a38a77f955ded9a766b654 | [
"MIT"
] | null | null | null | problems/greedy/Solution870.py | akalu/cs-problems-python | 9b1bd8e3932be62135a38a77f955ded9a766b654 | [
"MIT"
] | null | null | null | """ Given two arrays A and B of equal size, the advantage of A with respect to B
is the number of indices i for which A[i] > B[i].
Return any permutation of A that maximizes its advantage with respect to B.
Example 1:
Input: A = [2,7,11,15], B = [1,10,4,11] Output: [2,11,7,15]
ID... | 23.5 | 82 | 0.63617 |
5b7391d6b2a463ec5ffec394ba3d99bf008d1599 | 1,182 | py | Python | src/authentication/migrations/0003_user_additional_fiels_nullable.py | Alirezaja1384/MajazAmooz | 9200e46bed33aeb60d578a5c4c02013a8032cf08 | [
"MIT"
] | 3 | 2021-04-01T19:42:53.000Z | 2022-03-01T09:50:17.000Z | src/authentication/migrations/0003_user_additional_fiels_nullable.py | Alirezaja1384/MajazAmooz | 9200e46bed33aeb60d578a5c4c02013a8032cf08 | [
"MIT"
] | null | null | null | src/authentication/migrations/0003_user_additional_fiels_nullable.py | Alirezaja1384/MajazAmooz | 9200e46bed33aeb60d578a5c4c02013a8032cf08 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-03-27 10:53
from django.db import migrations, models
| 26.863636 | 62 | 0.51692 |
5b73e195d32533a2f980dd3d40f7b2ac22ca9c43 | 757 | py | Python | src/hyperloop/Python/mission/tests/test_lat_long.py | jcchin/Hyperloop_v2 | 73861d2207af8738425c1d484909ed0433b9653f | [
"Apache-2.0"
] | 1 | 2021-04-29T00:23:03.000Z | 2021-04-29T00:23:03.000Z | src/hyperloop/Python/mission/tests/test_lat_long.py | jcchin/Hyperloop_v2 | 73861d2207af8738425c1d484909ed0433b9653f | [
"Apache-2.0"
] | 1 | 2018-10-10T04:06:34.000Z | 2018-10-10T04:06:34.000Z | src/hyperloop/Python/mission/tests/test_lat_long.py | jcchin/Hyperloop_v2 | 73861d2207af8738425c1d484909ed0433b9653f | [
"Apache-2.0"
] | 11 | 2016-01-19T20:26:35.000Z | 2021-02-13T11:16:20.000Z | import pytest
from hyperloop.Python.mission import lat_long
import numpy as np
from openmdao.api import Group, Problem | 25.233333 | 70 | 0.623514 |
5b74a7016dc6843c0a1ceebedf0fe8627754ec1f | 451 | py | Python | answers/ex10.py | metmirr/project-euler | 2432e6fc392d5a3dfc87b331ad2246f8e84c1f12 | [
"MIT"
] | 1 | 2020-01-09T14:57:28.000Z | 2020-01-09T14:57:28.000Z | answers/ex10.py | metmirr/project-euler | 2432e6fc392d5a3dfc87b331ad2246f8e84c1f12 | [
"MIT"
] | null | null | null | answers/ex10.py | metmirr/project-euler | 2432e6fc392d5a3dfc87b331ad2246f8e84c1f12 | [
"MIT"
] | null | null | null | """
Problem 10:
The sum of the primes below 10 is 2 + 3 + 5 + 7 = 17.Find the sum of
all the primes below two million.
"""
sum = 0
size = 2000000
slots = [True for i in range(size)]
slots[0] = False
slots[1] = False
for stride in range(2, size // 2):
pos = stride
while pos < size - stride:
... | 17.346154 | 72 | 0.576497 |
5b74ca87ccbb7137e1d1ff7086010eae374775ba | 1,646 | py | Python | src/oci_cli/cli_clients.py | honzajavorek/oci-cli | 6ea058afba323c6b3b70e98212ffaebb0d31985e | [
"Apache-2.0"
] | null | null | null | src/oci_cli/cli_clients.py | honzajavorek/oci-cli | 6ea058afba323c6b3b70e98212ffaebb0d31985e | [
"Apache-2.0"
] | null | null | null | src/oci_cli/cli_clients.py | honzajavorek/oci-cli | 6ea058afba323c6b3b70e98212ffaebb0d31985e | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
# Copyright (c) 2016, 2019, Oracle and/or its affiliates. All rights reserved.
import os
import pkgutil
from os.path import abspath
from inspect import getsourcefile
CLIENT_MAP = {}
MODULE_TO_TYPE_MAPPINGS = {}
ALL_SERVICES_DIR = "services"
this_file_path = abspath(getsourcefile(lambda: 0))
if "site-p... | 51.4375 | 128 | 0.727825 |
5b74fbbc3bd037c8121ea683c08bcace2932b036 | 26,767 | py | Python | testing/unittest_analysis.py | dsg-bielefeld/mumodo | 0f220ada888f5e464344f4150be6d8cd454b72a1 | [
"MIT"
] | 1 | 2020-04-27T06:47:12.000Z | 2020-04-27T06:47:12.000Z | testing/unittest_analysis.py | clp-research/mumodo | 0f220ada888f5e464344f4150be6d8cd454b72a1 | [
"MIT"
] | 1 | 2015-04-26T22:52:27.000Z | 2017-06-07T13:06:32.000Z | testing/unittest_analysis.py | dsg-bielefeld/mumodo | 0f220ada888f5e464344f4150be6d8cd454b72a1 | [
"MIT"
] | 1 | 2015-07-14T14:51:36.000Z | 2015-07-14T14:51:36.000Z | import unittest
import pandas as pd
from mumodo.mumodoIO import open_intervalframe_from_textgrid, \
open_streamframe_from_xiofile
from mumodo.analysis import intervalframe_overlaps, intervalframe_union, \
invert_intervalframe, \
create_... | 51.179732 | 80 | 0.42403 |
5b75521d38171fc3f17cd63f930032aca3a11c04 | 799 | py | Python | main.py | neohanju/GoogleImageSearchDownload | 09344be0f356816ee16921f75b16114340e40b67 | [
"MIT"
] | null | null | null | main.py | neohanju/GoogleImageSearchDownload | 09344be0f356816ee16921f75b16114340e40b67 | [
"MIT"
] | null | null | null | main.py | neohanju/GoogleImageSearchDownload | 09344be0f356816ee16921f75b16114340e40b67 | [
"MIT"
] | null | null | null | # reference: http://icrawler.readthedocs.io/en/latest/usage.html
from icrawler.builtin import GoogleImageCrawler
import os
dataset_base_dir = 'D:/Workspace/Dataset/fake_image_detection/task_2'
keyword_lists = ['snapchat face swap', 'MSQRD']
for keyword in keyword_lists:
folder_path = dataset_base_dir + '/' + ke... | 27.551724 | 79 | 0.669587 |
5b75d17a228cb623b421648bad8d7be7041786ab | 841 | py | Python | Chapter 3/Q19_Match_output.py | inshaal/CBSE_NCERT_SOLUTIONS | 0804c2b42e80ccf42ad7dc4d91998848529e216d | [
"Unlicense"
] | null | null | null | Chapter 3/Q19_Match_output.py | inshaal/CBSE_NCERT_SOLUTIONS | 0804c2b42e80ccf42ad7dc4d91998848529e216d | [
"Unlicense"
] | null | null | null | Chapter 3/Q19_Match_output.py | inshaal/CBSE_NCERT_SOLUTIONS | 0804c2b42e80ccf42ad7dc4d91998848529e216d | [
"Unlicense"
] | null | null | null | ''' Q19 Predict the output'''
print "Test.__do__ :",Match.__doc__
print "Test.__name__ : ",Match.__name__
print "Test.__module__ : ",Match.__module__
print "Test.__bases__ : ",Match.__bases__
print "Test.__dict__ : ",Match.__dict__
'''
SOLUTIONS : This is the output -
Runs scored are : 281
Wickets taken... | 26.28125 | 149 | 0.653983 |
5b77b55412440ca872621e6080c45d3d24321ec7 | 1,632 | py | Python | src/daipeproject/silver/01_some_notebook.py | DataSentics/daipe-bad-practices-1 | a23c1b42908f646763a3a1d0821600f8d0d78db2 | [
"MIT"
] | null | null | null | src/daipeproject/silver/01_some_notebook.py | DataSentics/daipe-bad-practices-1 | a23c1b42908f646763a3a1d0821600f8d0d78db2 | [
"MIT"
] | null | null | null | src/daipeproject/silver/01_some_notebook.py | DataSentics/daipe-bad-practices-1 | a23c1b42908f646763a3a1d0821600f8d0d78db2 | [
"MIT"
] | null | null | null | # Databricks notebook source
# MAGIC %run ../app/bootstrap
# COMMAND ----------
from pyspark.sql.dataframe import DataFrame
from datalakebundle.imports import transformation
# COMMAND ----------
datasets = [
{
"id": "123",
"name": "knihydobrovsky_cz",
"custom_attrs": {
105: "... | 27.661017 | 111 | 0.628676 |
5b789ac50113811cea9f5671853ed49ad42da467 | 560 | py | Python | tests/pyspark_utils/test_convert_cerberus_schema_to_pyspark.py | ONS-SST/cis_households | e475df5929e6763a46cd05aff1f7e960ccbe8e21 | [
"MIT"
] | null | null | null | tests/pyspark_utils/test_convert_cerberus_schema_to_pyspark.py | ONS-SST/cis_households | e475df5929e6763a46cd05aff1f7e960ccbe8e21 | [
"MIT"
] | 252 | 2021-05-19T11:12:43.000Z | 2022-03-02T10:39:10.000Z | tests/pyspark_utils/test_convert_cerberus_schema_to_pyspark.py | ONS-SST/cis_households | e475df5929e6763a46cd05aff1f7e960ccbe8e21 | [
"MIT"
] | null | null | null | from pyspark.sql.types import StructField
from cishouseholds.pyspark_utils import convert_cerberus_schema_to_pyspark
| 40 | 109 | 0.783929 |
5b78eb23d489938fa4e1d56da1cf000445c3616a | 2,954 | py | Python | bus_schedule.py | 32-52/LanitBusScheduleBot | 1f50b824c2cbd07e1855eb6bce59595b8c639e40 | [
"MIT"
] | 3 | 2019-11-05T08:15:32.000Z | 2019-11-08T05:20:32.000Z | bus_schedule.py | 32-52/LanitBusScheduleBot | 1f50b824c2cbd07e1855eb6bce59595b8c639e40 | [
"MIT"
] | 25 | 2019-11-06T08:54:09.000Z | 2021-12-13T20:25:45.000Z | bus_schedule.py | 32-52/LanitBusScheduleBot | 1f50b824c2cbd07e1855eb6bce59595b8c639e40 | [
"MIT"
] | 3 | 2019-11-02T22:20:09.000Z | 2019-11-26T09:52:43.000Z | from models import Destinations, Locations
from settings import logging
from datetime import datetime
import requests
import settings
| 43.441176 | 112 | 0.602911 |
5b79805d4767cfaf22c2d662504bc4ac42b4ebc2 | 1,808 | py | Python | test/unit/controllers/logging_api_test.py | beer-garden/brew-view | e973d490fc2a25c0c264b04c9494f64df2db283f | [
"MIT"
] | 5 | 2018-02-20T13:34:55.000Z | 2020-08-09T01:45:39.000Z | test/unit/controllers/logging_api_test.py | beer-garden/brew-view | e973d490fc2a25c0c264b04c9494f64df2db283f | [
"MIT"
] | 179 | 2018-02-06T13:11:41.000Z | 2022-03-10T13:12:15.000Z | test/unit/controllers/logging_api_test.py | beer-garden/brew-view | e973d490fc2a25c0c264b04c9494f64df2db283f | [
"MIT"
] | 1 | 2019-01-03T17:35:35.000Z | 2019-01-03T17:35:35.000Z | import unittest
import json
from . import TestHandlerBase
from mock import patch
if __name__ == "__main__":
unittest.main()
| 35.45098 | 84 | 0.678097 |
5b7ae6b9736863ef24badaeecf71daf094c1c542 | 4,646 | py | Python | src/sparkcleaner/functions/string_cleaning.py | IvoWnds/sparkcleaner-git | b2acac27da1f05ed93941c59fe870b62c3539536 | [
"MIT"
] | null | null | null | src/sparkcleaner/functions/string_cleaning.py | IvoWnds/sparkcleaner-git | b2acac27da1f05ed93941c59fe870b62c3539536 | [
"MIT"
] | null | null | null | src/sparkcleaner/functions/string_cleaning.py | IvoWnds/sparkcleaner-git | b2acac27da1f05ed93941c59fe870b62c3539536 | [
"MIT"
] | null | null | null | from typing import List, Optional, Type
import pyspark.sql.functions as F
from pyspark.sql import DataFrame as SparkDataFrame
from pyspark.sql.types import DataType
import src.sparkcleaner.helpers.verify as verify
def remove_leading_zeros(df: SparkDataFrame,
col_name: str,
... | 34.932331 | 84 | 0.566939 |
5b7afef62f513c7426b0ae16d60e1e1c3c3a0c71 | 1,811 | py | Python | src/unifi_api/utils/decorators.py | r4mmer/unifi_python_client | 54c89f1c66cf219a37fd7317566defbf2ef4c9ff | [
"MIT"
] | 1 | 2021-01-25T16:19:09.000Z | 2021-01-25T16:19:09.000Z | src/unifi_api/utils/decorators.py | ioannova/unifi_python_api | cd8c6549cdd14294c9747acd8b053cb911d22305 | [
"MIT"
] | null | null | null | src/unifi_api/utils/decorators.py | ioannova/unifi_python_api | cd8c6549cdd14294c9747acd8b053cb911d22305 | [
"MIT"
] | 3 | 2020-01-09T14:30:41.000Z | 2022-01-31T23:22:35.000Z | # custom decorators
from functools import wraps
import trafaret as t
from .exceptions import UnifiLoginError
from .models import JsonResponse
| 31.224138 | 113 | 0.619547 |
5b7bc8ef2ba6b2dcd2a0766bba13e09db8e6d318 | 484 | py | Python | examples/another_simple_example.py | Inzilkin/vk.py | 969f01e666c877c1761c3629a100768f93de27eb | [
"MIT"
] | 2 | 2020-02-28T11:31:11.000Z | 2020-09-16T06:11:11.000Z | examples/another_simple_example.py | Inzilkin/vk.py | 969f01e666c877c1761c3629a100768f93de27eb | [
"MIT"
] | null | null | null | examples/another_simple_example.py | Inzilkin/vk.py | 969f01e666c877c1761c3629a100768f93de27eb | [
"MIT"
] | 1 | 2020-03-03T20:49:57.000Z | 2020-03-03T20:49:57.000Z | from vk import VK
from vk.utils import TaskManager
import asyncio
import logging
logging.basicConfig(level="DEBUG")
token = "TOKEN"
vk = VK(access_token=token)
task_manager = TaskManager(vk.loop)
api = vk.get_api()
if __name__ == "__main__":
task_manager.add_task(send_message)
task_manager.run()
task_m... | 21.043478 | 76 | 0.733471 |
5b7f91f8b133bdf24c68950699e17811ceddf1da | 5,493 | py | Python | Ambience/display/EmulatedDisplay.py | Matchstic/automated-ambience | 79fe5f7988fcfeb51c07a281e2ee6e188df4cb60 | [
"BSD-2-Clause"
] | 1 | 2018-07-13T12:03:35.000Z | 2018-07-13T12:03:35.000Z | Ambience/display/EmulatedDisplay.py | Matchstic/automated-ambience | 79fe5f7988fcfeb51c07a281e2ee6e188df4cb60 | [
"BSD-2-Clause"
] | null | null | null | Ambience/display/EmulatedDisplay.py | Matchstic/automated-ambience | 79fe5f7988fcfeb51c07a281e2ee6e188df4cb60 | [
"BSD-2-Clause"
] | null | null | null | from tkinter import Tk, Canvas
# This is an emulated display with the same API interface as for the Unicorn HAT/pHAT hardware.
# Thus, it relies upon (in part) code from: https://github.com/pimoroni/unicorn-hat/blob/master/library/UnicornHat/unicornhat.py
# Note that only the pHAT is supported, and rotation of the di... | 28.169231 | 128 | 0.497724 |
5b805582575f471d3237916e3dc521e5bb626336 | 1,033 | py | Python | TEP/lista3/C.py | GuilhermeBraz/unb-workflow | 37d680a675a87cea2ff936badf94d757393870c3 | [
"MIT"
] | null | null | null | TEP/lista3/C.py | GuilhermeBraz/unb-workflow | 37d680a675a87cea2ff936badf94d757393870c3 | [
"MIT"
] | null | null | null | TEP/lista3/C.py | GuilhermeBraz/unb-workflow | 37d680a675a87cea2ff936badf94d757393870c3 | [
"MIT"
] | null | null | null | # Argus was charged with guarding Io, which is not an ordinary cow. Io is quite an explorer, and she wanders off rather frequently, making Argus' life stressful. So the cowherd decided to construct an enclosed pasture for Io.
# There are nnn trees growing along the river, where Argus tends Io. For this problem, the riv... | 114.777778 | 408 | 0.75605 |
5b81f231a630775497623e340d76ccd4baa322f0 | 5,463 | py | Python | pyowb/open_work_bench.py | fifoforlifo/pyowb | 33833ad564c3f2d7b72c2fa4d66f9cab10ff9a22 | [
"Apache-2.0"
] | null | null | null | pyowb/open_work_bench.py | fifoforlifo/pyowb | 33833ad564c3f2d7b72c2fa4d66f9cab10ff9a22 | [
"Apache-2.0"
] | null | null | null | pyowb/open_work_bench.py | fifoforlifo/pyowb | 33833ad564c3f2d7b72c2fa4d66f9cab10ff9a22 | [
"Apache-2.0"
] | 1 | 2021-02-14T17:12:51.000Z | 2021-02-14T17:12:51.000Z | # Python plan -> Open Workbench XML converter.
#
# Python plan defines a Work Breakdown Structure where
# tasks are dictionaries and children are defined in a list.
# Children can contain sequences, to simplify data input;
# sequenced tasks are automatically chained (dependencies).
import sys
import math
from ... | 34.14375 | 137 | 0.658796 |
5b8245e73f37dd605b04cea9066a60ec35f34aae | 3,123 | py | Python | utils/data_utils.py | junsu-kim97/self_improved_retro | 5bb2e641a57a0623f509dd7a006896e6a105373c | [
"MIT"
] | 9 | 2021-06-21T02:19:57.000Z | 2022-02-25T02:56:13.000Z | utils/data_utils.py | junsu-kim97/self_improved_retro | 5bb2e641a57a0623f509dd7a006896e6a105373c | [
"MIT"
] | null | null | null | utils/data_utils.py | junsu-kim97/self_improved_retro | 5bb2e641a57a0623f509dd7a006896e6a105373c | [
"MIT"
] | 1 | 2021-11-25T01:15:10.000Z | 2021-11-25T01:15:10.000Z | import rdkit.Chem as Chem
import pickle
def smi_tokenizer(smi):
"""
Tokenize a SMILES molecule or reaction
"""
import re
pattern = "(\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\(|\)|\.|=|#|-|\+|\\\\|\/|:|~|@|\?|>|\*|\$|\%[0-9]{2}|[0-9])"
regex = re.compile(pattern)
tokens = [token for token... | 30.028846 | 120 | 0.603907 |
5b85082b3ec4e8e4086dbcbe9c13c3b0a4b1548b | 3,237 | py | Python | src/scraping/newslists_scrapers/ukrnet.py | mstrechen/news-scraper | 7961cef22f3989ad48140c7695b32662f9fd57ab | [
"MIT"
] | null | null | null | src/scraping/newslists_scrapers/ukrnet.py | mstrechen/news-scraper | 7961cef22f3989ad48140c7695b32662f9fd57ab | [
"MIT"
] | null | null | null | src/scraping/newslists_scrapers/ukrnet.py | mstrechen/news-scraper | 7961cef22f3989ad48140c7695b32662f9fd57ab | [
"MIT"
] | null | null | null | from queue import Queue
from datetime import datetime, timedelta
from .INewslistScraper import INewslistScraper
from .. import article
from .. import driver
| 40.4625 | 85 | 0.58789 |
5b85533c3707d4c478552c5ac09e55d8b975b426 | 201 | py | Python | inference.py | andreasr27/bidding_simulator | c2e1665b5eb72d6464025ce330682fb25780cb56 | [
"Apache-2.0"
] | null | null | null | inference.py | andreasr27/bidding_simulator | c2e1665b5eb72d6464025ce330682fb25780cb56 | [
"Apache-2.0"
] | null | null | null | inference.py | andreasr27/bidding_simulator | c2e1665b5eb72d6464025ce330682fb25780cb56 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import regret as r
import sys
import os
n=int(sys.argv[1])
fout=open(sys.argv[3],'w')
print >>fout, n
for i in range(0,n):
print >>fout, i, r.mult_valuation(sys.argv[2],i)
| 15.461538 | 56 | 0.646766 |
5b858246ad28edd0c4482b11bf509db078683da1 | 12,676 | py | Python | TAR/dataset.py | jiyanggao/CTAP | 4c8ed32c72763f1b47e607b6e957695f9381930e | [
"MIT"
] | 49 | 2018-07-11T06:33:39.000Z | 2022-02-24T04:43:32.000Z | TAR/dataset.py | jiyanggao/CTAP | 4c8ed32c72763f1b47e607b6e957695f9381930e | [
"MIT"
] | 10 | 2018-07-31T07:01:53.000Z | 2021-01-23T11:16:49.000Z | TAR/dataset.py | jiyanggao/CTAP | 4c8ed32c72763f1b47e607b6e957695f9381930e | [
"MIT"
] | 12 | 2018-07-21T10:30:04.000Z | 2021-07-12T00:32:34.000Z |
import numpy as np
from math import sqrt
import os
import random
import pickle
'''
A class that handles the training set
'''
'''
A class that handles the test set
'''
| 46.602941 | 157 | 0.631982 |
5b862b0444a554f17c428be0cfd30de1d4fc4238 | 1,209 | py | Python | github_status/util.py | alfredodeza/github-status | 6790528caef688c4624a998ba14389081188eab7 | [
"MIT"
] | null | null | null | github_status/util.py | alfredodeza/github-status | 6790528caef688c4624a998ba14389081188eab7 | [
"MIT"
] | null | null | null | github_status/util.py | alfredodeza/github-status | 6790528caef688c4624a998ba14389081188eab7 | [
"MIT"
] | null | null | null | from __future__ import print_function
import os
def build_is_triggered():
"""
If a build is being triggered via Github directly (either by a comment, or
automatically) then the ``ghprb`` will probably be involded. When that is
the case, that plugin injects a wealth of environment variables, which can
... | 34.542857 | 78 | 0.699752 |
5b8868ab4678426738010cc86dd5157444746730 | 339 | py | Python | tests/__init__.py | jfardello/dyn53 | bf40f9f979273cfcb64817ae8117992ce03acbac | [
"MIT"
] | null | null | null | tests/__init__.py | jfardello/dyn53 | bf40f9f979273cfcb64817ae8117992ce03acbac | [
"MIT"
] | null | null | null | tests/__init__.py | jfardello/dyn53 | bf40f9f979273cfcb64817ae8117992ce03acbac | [
"MIT"
] | null | null | null | import unittest
from . import test_cli, test_client
if __name__ == '__main__':
unittest.TextTestRunner(verbosity=2).run(suite())
| 26.076923 | 67 | 0.761062 |
5b88fe4835697ffe0c79e926b04e81fcc84ab9fd | 111 | py | Python | OLD.dir/module2.py | romchegue/Python | 444476088e64d5da66cb00174f3d1d30ebbe38f6 | [
"bzip2-1.0.6"
] | null | null | null | OLD.dir/module2.py | romchegue/Python | 444476088e64d5da66cb00174f3d1d30ebbe38f6 | [
"bzip2-1.0.6"
] | null | null | null | OLD.dir/module2.py | romchegue/Python | 444476088e64d5da66cb00174f3d1d30ebbe38f6 | [
"bzip2-1.0.6"
] | null | null | null | print('starting to load...')
import sys
name = 42
print('done loading.')
| 11.1 | 28 | 0.675676 |
5b89fd1aed3678be46b04253e3670d3d318222c3 | 5,053 | py | Python | src/real_q_voter/visualization.py | robertjankowski/real-q-voter | 250357fe3d504a79b8515c278d052aac04a22585 | [
"MIT"
] | null | null | null | src/real_q_voter/visualization.py | robertjankowski/real-q-voter | 250357fe3d504a79b8515c278d052aac04a22585 | [
"MIT"
] | 4 | 2020-03-27T20:08:15.000Z | 2020-06-04T07:35:18.000Z | src/real_q_voter/visualization.py | robertjankowski/real-q-voter | 250357fe3d504a79b8515c278d052aac04a22585 | [
"MIT"
] | null | null | null | import os
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np
import glob
from src.real_q_voter.logger import get_logger
from itertools import accumulate
from PIL import Image
logger = get_logger('REAL-Q-VOTER-VISUALIZATION-LOGGER')
def plot_degree_distribution(g: nx.Graph, bins=50, filename=Non... | 35.836879 | 116 | 0.661191 |
5b8a08f2aa18f87d81614f59e6870e3dfaeef983 | 3,245 | py | Python | tests/entity/test_entity_validate_implementation.py | MacHu-GWU/crawlib-project | b2963b7f6a36ee7f1ef95a6bf9d8cb746d9da991 | [
"MIT"
] | 1 | 2020-06-19T09:45:20.000Z | 2020-06-19T09:45:20.000Z | tests/entity/test_entity_validate_implementation.py | MacHu-GWU/crawlib-project | b2963b7f6a36ee7f1ef95a6bf9d8cb746d9da991 | [
"MIT"
] | 1 | 2019-12-27T18:41:21.000Z | 2019-12-27T18:41:21.000Z | tests/entity/test_entity_validate_implementation.py | MacHu-GWU/crawlib-project | b2963b7f6a36ee7f1ef95a6bf9d8cb746d9da991 | [
"MIT"
] | 1 | 2018-08-22T01:27:32.000Z | 2018-08-22T01:27:32.000Z | # -*- coding: utf-8 -*-
import pytest
from pytest import raises
from crawlib.entity.base import Entity, RelationshipConfig, Relationship
if __name__ == "__main__":
import os
basename = os.path.basename(__file__)
pytest.main([basename, "-s", "--tb=native"])
| 26.169355 | 72 | 0.674884 |