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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3b609c46e8acbabd432957bab07543eeb95588cd | 1,688 | py | Python | pyprocessing/renderer/tkinter/renderer.py | InfiniteSwerve/pyprocessing | cfc4574c5d2f65a7f95016f3b406475109c5246b | [
"MIT"
] | null | null | null | pyprocessing/renderer/tkinter/renderer.py | InfiniteSwerve/pyprocessing | cfc4574c5d2f65a7f95016f3b406475109c5246b | [
"MIT"
] | null | null | null | pyprocessing/renderer/tkinter/renderer.py | InfiniteSwerve/pyprocessing | cfc4574c5d2f65a7f95016f3b406475109c5246b | [
"MIT"
] | null | null | null | import tkinter as tk
from pyprocessing.renderer.tkinter.window import Window
| 31.849057 | 79 | 0.637441 |
3b60ef8e91e7392daee62726820909fae0e9778a | 2,345 | py | Python | erica/api/v2/endpoints/tax.py | digitalservice4germany/erica | 7e07d88f3db78ab6e4f7cccad8dfef2a4b3a71b2 | [
"MIT"
] | 3 | 2022-01-31T15:17:17.000Z | 2022-03-01T16:15:47.000Z | erica/api/v2/endpoints/tax.py | digitalservice4germany/erica | 7e07d88f3db78ab6e4f7cccad8dfef2a4b3a71b2 | [
"MIT"
] | 59 | 2022-01-31T14:04:20.000Z | 2022-03-31T20:08:47.000Z | erica/api/v2/endpoints/tax.py | digitalservice4germany/erica | 7e07d88f3db78ab6e4f7cccad8dfef2a4b3a71b2 | [
"MIT"
] | 1 | 2022-03-10T09:24:28.000Z | 2022-03-10T09:24:28.000Z | from uuid import UUID
from fastapi import status, APIRouter
from starlette.requests import Request
from starlette.responses import FileResponse, RedirectResponse
from erica.api.v2.responses.model import response_model_get_tax_number_validity_from_queue, response_model_post_to_queue
from erica.application.JobService.job... | 49.893617 | 132 | 0.816205 |
3b625b2731273ccb49023bc715fec206170cb4de | 110 | py | Python | libsvc/persistence/__init__.py | derekmerck/endpoint | 5b74f0b3303bbf419a6c9f71e9a4a156583bf51d | [
"MIT"
] | null | null | null | libsvc/persistence/__init__.py | derekmerck/endpoint | 5b74f0b3303bbf419a6c9f71e9a4a156583bf51d | [
"MIT"
] | null | null | null | libsvc/persistence/__init__.py | derekmerck/endpoint | 5b74f0b3303bbf419a6c9f71e9a4a156583bf51d | [
"MIT"
] | null | null | null | from .persistence import PersistenceBackend, ShelfMixin
from .redis_persistence import RedisPersistenceBackend | 55 | 55 | 0.9 |
3b628b55e83a5d18872091cffecbc52c87f05478 | 151 | py | Python | py/redrock/__init__.py | michaelJwilson/redrock | 477c3d231514b1926dca493f8ab121aa194917bb | [
"BSD-3-Clause"
] | 14 | 2017-09-22T23:57:33.000Z | 2022-03-15T10:36:16.000Z | py/redrock/__init__.py | michaelJwilson/redrock | 477c3d231514b1926dca493f8ab121aa194917bb | [
"BSD-3-Clause"
] | 154 | 2017-06-04T22:57:39.000Z | 2022-03-11T23:01:16.000Z | py/redrock/__init__.py | michaelJwilson/redrock | 477c3d231514b1926dca493f8ab121aa194917bb | [
"BSD-3-Clause"
] | 10 | 2017-06-09T15:24:59.000Z | 2021-05-26T13:16:42.000Z | """
redrock
=======
Redrock redshift fitter.
"""
from __future__ import absolute_import, division, print_function
from ._version import __version__
| 13.727273 | 64 | 0.754967 |
3b641a0c2766ce37091f0a6b3166ad667f6adaa2 | 2,209 | py | Python | pyrez/api/APIBase.py | pytheous/Pyrez | 85f6f27359288b5f0ad70ff543f247843ac326f9 | [
"MIT"
] | null | null | null | pyrez/api/APIBase.py | pytheous/Pyrez | 85f6f27359288b5f0ad70ff543f247843ac326f9 | [
"MIT"
] | null | null | null | pyrez/api/APIBase.py | pytheous/Pyrez | 85f6f27359288b5f0ad70ff543f247843ac326f9 | [
"MIT"
] | null | null | null |
from ..exceptions.ServiceUnavailable import ServiceUnavailable
from ..logging import create_logger
from ..utils.http import http_request
| 30.680556 | 124 | 0.593481 |
3b647027280f7ce127436a345c0165454a840a45 | 2,613 | py | Python | lambda/slack_bot.py | ebc-2in2crc/slack-echo-bot | 223aea0dc00e6097ff37c5758c64f54a8091eb7b | [
"MIT"
] | 1 | 2020-09-24T20:31:20.000Z | 2020-09-24T20:31:20.000Z | lambda/slack_bot.py | ebc-2in2crc/slack-echo-bot | 223aea0dc00e6097ff37c5758c64f54a8091eb7b | [
"MIT"
] | 1 | 2021-05-12T13:47:50.000Z | 2021-05-12T13:47:50.000Z | lambda/slack_bot.py | ebc-2in2crc/slack-echo-bot | 223aea0dc00e6097ff37c5758c64f54a8091eb7b | [
"MIT"
] | null | null | null | import hashlib
import hmac
import json
import logging
import os
import urllib.request
SLACK_BOT_USER_ACCESS_TOKEN = os.environ["SLACK_BOT_USER_ACCESS_TOKEN"]
SLACK_SIGNING_SECRET = os.environ["SLACK_SIGNING_SECRET"]
#
logger = logging.getLogger()
logger.setLevel(logging.INFO)
| 27.21875 | 108 | 0.670494 |
3b663b409c5b29c165336e7debdda67f9b5f9eb7 | 1,059 | py | Python | aims/analysis/density.py | Xiangyan93/AIMS | 1d0d6de03ef79d3cbfe2cd244f12c41d18acb61d | [
"MIT"
] | 3 | 2021-05-14T04:27:53.000Z | 2022-01-11T17:47:20.000Z | aims/analysis/density.py | Xiangyan93/AIMS | 1d0d6de03ef79d3cbfe2cd244f12c41d18acb61d | [
"MIT"
] | null | null | null | aims/analysis/density.py | Xiangyan93/AIMS | 1d0d6de03ef79d3cbfe2cd244f12c41d18acb61d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
from ..database.models import *
from aims.aimstools.utils import polyfit, is_monotonic, get_V
| 35.3 | 114 | 0.637394 |
3b67741092ee08f64764247dcb3517f76f517e1b | 113 | py | Python | elvia/types/common.py | andersem/elvia-python | cd71d13e1200845c93222dffed53baaa3a136bd4 | [
"MIT"
] | null | null | null | elvia/types/common.py | andersem/elvia-python | cd71d13e1200845c93222dffed53baaa3a136bd4 | [
"MIT"
] | null | null | null | elvia/types/common.py | andersem/elvia-python | cd71d13e1200845c93222dffed53baaa3a136bd4 | [
"MIT"
] | null | null | null | from typing_extensions import TypedDict
| 16.142857 | 39 | 0.778761 |
3b69aec95b3206db693240793ada22d1a026d313 | 1,417 | py | Python | tests/port_tests/polygon_tests/test_equals.py | skrat/martinez | 86db48324cb50ecb52be8ab2e4278a6d5cdd562b | [
"MIT"
] | 7 | 2020-05-07T08:13:44.000Z | 2021-12-17T07:33:51.000Z | tests/port_tests/polygon_tests/test_equals.py | skrat/martinez | 86db48324cb50ecb52be8ab2e4278a6d5cdd562b | [
"MIT"
] | 17 | 2019-11-29T23:17:26.000Z | 2020-12-20T15:47:17.000Z | tests/port_tests/polygon_tests/test_equals.py | skrat/martinez | 86db48324cb50ecb52be8ab2e4278a6d5cdd562b | [
"MIT"
] | 1 | 2020-12-17T22:44:21.000Z | 2020-12-17T22:44:21.000Z | from typing import Tuple
from hypothesis import given
from tests.port_tests.hints import PortedPolygon
from tests.utils import (equivalence,
implication)
from . import strategies
| 33.738095 | 78 | 0.661962 |
3b69e897b47158318024cd3e8be4dd3fe3c33a8d | 2,783 | py | Python | src/openeo_grass_gis_driver/process_graph_validation.py | marcjansen/openeo-grassgis-driver | 57b309819fdc456fba02cd1ab8fe6731ddfbb66a | [
"Apache-2.0"
] | 7 | 2018-03-16T17:26:14.000Z | 2022-03-09T08:19:10.000Z | src/openeo_grass_gis_driver/process_graph_validation.py | marcjansen/openeo-grassgis-driver | 57b309819fdc456fba02cd1ab8fe6731ddfbb66a | [
"Apache-2.0"
] | 70 | 2018-03-09T11:28:12.000Z | 2022-02-17T09:06:17.000Z | src/openeo_grass_gis_driver/process_graph_validation.py | marcjansen/openeo-grassgis-driver | 57b309819fdc456fba02cd1ab8fe6731ddfbb66a | [
"Apache-2.0"
] | 13 | 2018-03-12T09:58:24.000Z | 2022-02-23T10:40:11.000Z | # -*- coding: utf-8 -*-
from flask import make_response, request
from openeo_grass_gis_driver.actinia_processing.base import Graph
from openeo_grass_gis_driver.actinia_processing.config import \
Config as ActiniaConfig
from openeo_grass_gis_driver.actinia_processing.actinia_interface import \
ActiniaInterface... | 35.227848 | 79 | 0.603665 |
3b6b9691cd266a9a90cf6ce67aa4d692b5f9390a | 4,306 | py | Python | tests/test_views.py | jeancochrane/just-spaces | f7e8f710c3ab2db5f8a87a533547c5176a2d1e83 | [
"MIT"
] | null | null | null | tests/test_views.py | jeancochrane/just-spaces | f7e8f710c3ab2db5f8a87a533547c5176a2d1e83 | [
"MIT"
] | null | null | null | tests/test_views.py | jeancochrane/just-spaces | f7e8f710c3ab2db5f8a87a533547c5176a2d1e83 | [
"MIT"
] | null | null | null | import pytest
from django.urls import reverse
from pldp.forms import AGE_COMPLEX_CHOICES
| 34.725806 | 110 | 0.717836 |
3b6d696a3cfb32c61aa79adf234cb42b6c93acda | 38 | py | Python | blocks/__init__.py | blandfort/mirror | 70ae41fd151275d42506d07117aa2ea3ce59ad23 | [
"MIT"
] | null | null | null | blocks/__init__.py | blandfort/mirror | 70ae41fd151275d42506d07117aa2ea3ce59ad23 | [
"MIT"
] | 6 | 2020-11-06T22:40:05.000Z | 2022-03-12T00:51:06.000Z | blocks/__init__.py | blandfort/mirror | 70ae41fd151275d42506d07117aa2ea3ce59ad23 | [
"MIT"
] | null | null | null | from .countdown import CountdownBlock
| 19 | 37 | 0.868421 |
3b6eaa61670e09b9e37fdea0b9e2fa79ddf52d7c | 1,375 | py | Python | app.py | bmcculley/mailhide | f7ba582a2a8d419a723c517389d6c3288ed6a834 | [
"Apache-2.0"
] | null | null | null | app.py | bmcculley/mailhide | f7ba582a2a8d419a723c517389d6c3288ed6a834 | [
"Apache-2.0"
] | null | null | null | app.py | bmcculley/mailhide | f7ba582a2a8d419a723c517389d6c3288ed6a834 | [
"Apache-2.0"
] | null | null | null | from flask import Flask, render_template, request, jsonify, \
redirect, Response, url_for, abort
import helpers
config_dic = helpers.load_config()
# flask app setup
app = Flask(__name__)
app.secret_key = config_dic["app_secret_key"]
if __name__ == "__main__":
app.run(debug=True) | 30.555556 | 84 | 0.713455 |
3b6eb9f34813352f880e0ad30041ff68e5b64e92 | 895 | py | Python | system_a/analyzer_main.py | hkayesh/depend_clean | 1d4bfdaf9a4d323582ab36e3ec0f9b4f2faae851 | [
"Apache-2.0"
] | null | null | null | system_a/analyzer_main.py | hkayesh/depend_clean | 1d4bfdaf9a4d323582ab36e3ec0f9b4f2faae851 | [
"Apache-2.0"
] | null | null | null | system_a/analyzer_main.py | hkayesh/depend_clean | 1d4bfdaf9a4d323582ab36e3ec0f9b4f2faae851 | [
"Apache-2.0"
] | null | null | null | from scripts.processing import Processor
import time
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--train", type=str, default='files/mmhsct_dataset.csv', help="--train file_path")
parser.add_argument("--data", type=str, default='files/sr_all_comments_111.csv', help="--data file_path")
parse... | 30.862069 | 105 | 0.716201 |
3b6f12acccf4f926a75b0719a710025ee03bc50f | 169 | py | Python | problem0669.py | kmarcini/Project-Euler-Python | d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3 | [
"BSD-3-Clause"
] | null | null | null | problem0669.py | kmarcini/Project-Euler-Python | d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3 | [
"BSD-3-Clause"
] | null | null | null | problem0669.py | kmarcini/Project-Euler-Python | d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3 | [
"BSD-3-Clause"
] | null | null | null | ###########################
#
# #669 The King's Banquet - Project Euler
# https://projecteuler.net/problem=669
#
# Code by Kevin Marciniak
#
###########################
| 18.777778 | 41 | 0.473373 |
3b6fe5c97472a5e38212eb7e9fc96de5efa75c68 | 281 | py | Python | env.py | camigord/WorldModels | fe54dd832e62efff7ca7898ef2dd983d908bd1fb | [
"MIT"
] | 83 | 2018-06-03T05:51:55.000Z | 2021-04-05T15:26:02.000Z | env.py | camigord/WorldModels | fe54dd832e62efff7ca7898ef2dd983d908bd1fb | [
"MIT"
] | 16 | 2020-01-28T22:26:22.000Z | 2022-02-09T23:47:02.000Z | env.py | mikebuchanan/world_models | 6bb028eaac44a75a7ed66c0c19fb2afe7c428263 | [
"MIT"
] | 29 | 2018-06-03T18:36:07.000Z | 2022-03-17T14:27:59.000Z | import numpy as np
#import gym
from custom_envs.car_racing import CarRacing
| 20.071429 | 51 | 0.676157 |
3b714aa075b300f1c0a7f41e5ad7d665e8b6b9c7 | 15,602 | py | Python | slalom/dataops/infra.py | slalom-ggp/dataops-tools | 6b8f773c0cb206e834c2d44595b45149323945e2 | [
"MIT"
] | 5 | 2020-03-14T00:13:17.000Z | 2020-05-27T21:53:42.000Z | slalom/dataops/infra.py | slalom-ggp/dataops-tools | 6b8f773c0cb206e834c2d44595b45149323945e2 | [
"MIT"
] | 21 | 2019-11-19T22:22:21.000Z | 2020-03-23T23:53:00.000Z | slalom/dataops/infra.py | slalom-ggp/dataops-tools | 6b8f773c0cb206e834c2d44595b45149323945e2 | [
"MIT"
] | 2 | 2019-10-11T17:53:50.000Z | 2020-09-05T21:47:05.000Z | #!/usr/bin/env python3
from joblib import Parallel, delayed
import os
import sys
from pathlib import Path
from typing import Dict, List
import fire
from logless import get_logger, logged, logged_block
import runnow
from tqdm import tqdm
import uio
code_file = os.path.realpath(__file__)
repo_dir = os.path.dirname(os.p... | 35.784404 | 112 | 0.578772 |
3b71a724b373390581169387e2b980a957c6564b | 1,142 | py | Python | bgSim/combatEvents.py | philhteoma/hsBattlegroundsSimulator | bd558e1687c89953191fbcbe6186dc9e58a3c7da | [
"MIT"
] | null | null | null | bgSim/combatEvents.py | philhteoma/hsBattlegroundsSimulator | bd558e1687c89953191fbcbe6186dc9e58a3c7da | [
"MIT"
] | null | null | null | bgSim/combatEvents.py | philhteoma/hsBattlegroundsSimulator | bd558e1687c89953191fbcbe6186dc9e58a3c7da | [
"MIT"
] | null | null | null | import random
classList = [
ChooseAttackTarget,
Fight,
]
combatEvents = {x.name: x for x in classList}
| 27.853659 | 116 | 0.712785 |
3b720f3bb632a743be48e6a5d8c5f3230e1ef784 | 1,842 | py | Python | delfin/drivers/hitachi/hus_110/constants.py | guankecheng/netapp | 0852bd9f14d47d8f92beceb91bbd8158994f8ab1 | [
"Apache-2.0"
] | null | null | null | delfin/drivers/hitachi/hus_110/constants.py | guankecheng/netapp | 0852bd9f14d47d8f92beceb91bbd8158994f8ab1 | [
"Apache-2.0"
] | null | null | null | delfin/drivers/hitachi/hus_110/constants.py | guankecheng/netapp | 0852bd9f14d47d8f92beceb91bbd8158994f8ab1 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The SODA 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 require... | 40.043478 | 78 | 0.729099 |
3b72cfe27fe1026ac855221b649d4738b38ec25c | 915 | py | Python | html2md/mobilizers/instapaper.py | semond/html2md | e9d697ebe1e5af438275425a26dae2473beac217 | [
"Apache-2.0"
] | null | null | null | html2md/mobilizers/instapaper.py | semond/html2md | e9d697ebe1e5af438275425a26dae2473beac217 | [
"Apache-2.0"
] | null | null | null | html2md/mobilizers/instapaper.py | semond/html2md | e9d697ebe1e5af438275425a26dae2473beac217 | [
"Apache-2.0"
] | null | null | null | """
:copyright: 2019, Serge Emond
:license: Apache License 2.0
"""
from urllib.parse import quote_plus
import requests
from pyquery import PyQuery as pq
from .mobilizer import Mobilizer
| 26.911765 | 86 | 0.652459 |
3b7429619e17d7df3d00811edac6228a84a03e82 | 12,649 | py | Python | rsvis/tools/canvas/imgcv.py | Tom-Hirschberger/DataVisualization | 1aec6a85e2af7ba62ba47e6ee93dc9a7d99c6221 | [
"MIT"
] | null | null | null | rsvis/tools/canvas/imgcv.py | Tom-Hirschberger/DataVisualization | 1aec6a85e2af7ba62ba47e6ee93dc9a7d99c6221 | [
"MIT"
] | 4 | 2020-04-28T11:53:24.000Z | 2022-03-12T00:15:30.000Z | rsvis/tools/canvas/imgcv.py | Tom-Hirschberger/DataVisualization | 1aec6a85e2af7ba62ba47e6ee93dc9a7d99c6221 | [
"MIT"
] | 2 | 2020-07-01T15:35:29.000Z | 2021-03-11T17:53:23.000Z | # ===========================================================================
# imgcv.py ----------------------------------------------------------------
# ===========================================================================
# import ------------------------------------------------------------------
# -----... | 43.920139 | 135 | 0.386908 |
3b746b4b5db548c71615d8260b4325217501e91f | 1,242 | py | Python | django_discord_connector/admin.py | DubClub-win/django-discord-connector | fe1c40ef40c9bf6d4a6e70c7bf963a4931421036 | [
"MIT"
] | 2 | 2020-08-24T06:45:40.000Z | 2020-11-15T09:58:49.000Z | django_discord_connector/admin.py | DubClub-win/django-discord-connector | fe1c40ef40c9bf6d4a6e70c7bf963a4931421036 | [
"MIT"
] | 20 | 2019-12-17T20:29:19.000Z | 2021-05-03T17:23:45.000Z | django_discord_connector/admin.py | DubClub-win/django-discord-connector | fe1c40ef40c9bf6d4a6e70c7bf963a4931421036 | [
"MIT"
] | 2 | 2021-04-16T14:07:48.000Z | 2021-12-29T15:01:28.000Z | from django.contrib import admin
from django_discord_connector.models import DiscordClient, DiscordToken, DiscordGroup, DiscordChannel, DiscordUser
from django_discord_connector.tasks import sync_discord_groups
from django.apps import apps
update_discord_groups.short_description="Update Discord groups from Discord Serv... | 44.357143 | 140 | 0.724638 |
3b7503ccee6fd0fa692daf48884183bb671c437d | 2,951 | py | Python | tests/integration/test_wallet_mqtt.py | mantaprotocol/manta-python | 78f56f040832d4674c6d37fabfc4eb69c4a4e44e | [
"BSD-2-Clause"
] | 14 | 2019-09-26T08:39:17.000Z | 2022-02-22T11:46:26.000Z | tests/integration/test_wallet_mqtt.py | mantaprotocol/manta-python | 78f56f040832d4674c6d37fabfc4eb69c4a4e44e | [
"BSD-2-Clause"
] | null | null | null | tests/integration/test_wallet_mqtt.py | mantaprotocol/manta-python | 78f56f040832d4674c6d37fabfc4eb69c4a4e44e | [
"BSD-2-Clause"
] | 1 | 2021-03-24T12:03:38.000Z | 2021-03-24T12:03:38.000Z | # Manta Python
# Manta Protocol Implementation for Python
# Copyright (C) 2018-2019 Alessandro Vigan
import asyncio
from dataclasses import dataclass
from decimal import Decimal
import logging
import pytest
from manta.messages import PaymentRequestEnvelope, Status
from manta.wallet import Wallet
# See https://git... | 29.51 | 84 | 0.63165 |
3b753f30cfeb206f88b5f9dc2a6515035a15ef8b | 7,956 | py | Python | implementations/warris2018/pyPaSWAS/Core/Formatters.py | r-barnes/sw_comparison | 1ac2c9cc10a32badd6b8fb1e96516c97f7800176 | [
"BSD-Source-Code"
] | 24 | 2015-09-03T13:36:10.000Z | 2021-11-18T15:09:53.000Z | pyPaSWAS/Core/Formatters.py | Aaron1993/pyPaSWAS | 0f1edceba2a002ef30a803cc5c5fe45587ffd2aa | [
"MIT"
] | 6 | 2015-02-25T16:07:19.000Z | 2020-02-28T08:19:25.000Z | pyPaSWAS/Core/Formatters.py | Aaron1993/pyPaSWAS | 0f1edceba2a002ef30a803cc5c5fe45587ffd2aa | [
"MIT"
] | 9 | 2017-10-31T09:55:06.000Z | 2021-12-03T02:47:56.000Z | '''This module contains the output formatters for pyPaSWAS'''
| 40.8 | 125 | 0.618778 |
3b7583d6fd68f18ec44dfcd8d3d60133b50b2fcc | 1,966 | py | Python | tests/_utils.py | kura/blackhole | 5d5e6f4395a413ed99b6c0721af1a86276a6225f | [
"MIT"
] | 43 | 2015-02-16T04:18:03.000Z | 2021-11-01T22:57:24.000Z | tests/_utils.py | kura/blackhole | 5d5e6f4395a413ed99b6c0721af1a86276a6225f | [
"MIT"
] | 30 | 2015-07-08T14:17:38.000Z | 2020-03-01T00:36:55.000Z | tests/_utils.py | kura/blackhole | 5d5e6f4395a413ed99b6c0721af1a86276a6225f | [
"MIT"
] | 7 | 2015-05-21T07:01:12.000Z | 2020-10-27T16:05:18.000Z | # -*- coding: utf-8 -*-
# (The MIT License)
#
# Copyright (c) 2013-2021 Kura
#
# 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
# ... | 28.085714 | 79 | 0.709054 |
3b760115ef07c1475153b48cd74f10e8e8b417e7 | 6,096 | py | Python | observables/integer.py | North-Guard/observable_primitives | 4ab8ad6f67b79490209815051d7731393413d3dd | [
"MIT"
] | 1 | 2018-01-11T14:01:05.000Z | 2018-01-11T14:01:05.000Z | observables/integer.py | North-Guard/observable_primitives | 4ab8ad6f67b79490209815051d7731393413d3dd | [
"MIT"
] | null | null | null | observables/integer.py | North-Guard/observable_primitives | 4ab8ad6f67b79490209815051d7731393413d3dd | [
"MIT"
] | null | null | null | from typing import Callable, SupportsInt, SupportsFloat, SupportsRound, SupportsComplex, SupportsAbs, SupportsBytes
from observable_primitives.observables.numeric_base import ObservableNumeric
# Added specials
| 29.592233 | 115 | 0.621391 |
3b767da98ef4ac589e5f659573f9faebada56912 | 5,958 | py | Python | tests/python/contrib/test_ethosu/test_remove_concatenates.py | jwfromm/relax | f120282007778706199243ee88b50697c2b9550c | [
"Apache-2.0"
] | 2,084 | 2020-11-25T02:31:53.000Z | 2022-03-31T11:33:47.000Z | tests/python/contrib/test_ethosu/test_remove_concatenates.py | jwfromm/relax | f120282007778706199243ee88b50697c2b9550c | [
"Apache-2.0"
] | 3,022 | 2020-11-24T14:02:31.000Z | 2022-03-31T23:55:31.000Z | tests/python/contrib/test_ethosu/test_remove_concatenates.py | jwfromm/relax | f120282007778706199243ee88b50697c2b9550c | [
"Apache-2.0"
] | 977 | 2020-11-25T00:54:52.000Z | 2022-03-31T12:47:08.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 72.658537 | 456 | 0.663981 |
3b78f63bd45123d2bddd69150e96fc397c067291 | 2,255 | py | Python | kk_tf/kk_tf.py | hakyimlab/multixcan-paper | bafad243f42298a0973ba4d4009b2b2f783743a3 | [
"MIT"
] | null | null | null | kk_tf/kk_tf.py | hakyimlab/multixcan-paper | bafad243f42298a0973ba4d4009b2b2f783743a3 | [
"MIT"
] | null | null | null | kk_tf/kk_tf.py | hakyimlab/multixcan-paper | bafad243f42298a0973ba4d4009b2b2f783743a3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
__author__ = "alvaro barbeira"
import numpy
import pandas
import tensorflow as tf
from tensorflow import keras
from sklearn.model_selection import train_test_split
d = pandas.read_table("../results/smultixcan_wrong.txt")
d_ = d.loc[d.n>1]
d_ = d_.assign(pvalue = numpy.maximum(d_.pvalue, 1e-30), ... | 36.967213 | 133 | 0.705543 |
3b7cf7fe88491f39d41118c5372b2efff2e8da58 | 12,343 | py | Python | doclabel/core/models.py | sondh0127/doclabel | 2cadea9fc925435aea49ac0b56c29474664ade4e | [
"MIT"
] | null | null | null | doclabel/core/models.py | sondh0127/doclabel | 2cadea9fc925435aea49ac0b56c29474664ade4e | [
"MIT"
] | null | null | null | doclabel/core/models.py | sondh0127/doclabel | 2cadea9fc925435aea49ac0b56c29474664ade4e | [
"MIT"
] | null | null | null | import string
import os
from django.conf import settings
from django.dispatch import receiver
from django.db.models.signals import post_save, pre_delete, post_delete
from django.db import models
from django.urls import reverse
from django.contrib.auth import get_user_model
from django.contrib.postgres.fields import JS... | 31.894057 | 88 | 0.694969 |
3b7de04c42bc46c1bd3b08a16aa1872fc97cd4ba | 2,742 | py | Python | kafcrapy/spider.py | JoeyRead/kafcrapy | bef4aab0033b1c2d6d280abc4410f05abc34f054 | [
"Apache-2.0"
] | null | null | null | kafcrapy/spider.py | JoeyRead/kafcrapy | bef4aab0033b1c2d6d280abc4410f05abc34f054 | [
"Apache-2.0"
] | null | null | null | kafcrapy/spider.py | JoeyRead/kafcrapy | bef4aab0033b1c2d6d280abc4410f05abc34f054 | [
"Apache-2.0"
] | null | null | null | from scrapy import signals
from scrapy.exceptions import DontCloseSpider
from scrapy.spiders import Spider
from . import connection
| 33.036145 | 106 | 0.654996 |
3b83b290e1ee1ab9ac6190adb149232aad5fa196 | 2,748 | py | Python | unipipeline/utils/sig.py | aliaksandr-master/unipipeline | d8eac38534172aee59ab5777321cabe67f3779ef | [
"MIT"
] | null | null | null | unipipeline/utils/sig.py | aliaksandr-master/unipipeline | d8eac38534172aee59ab5777321cabe67f3779ef | [
"MIT"
] | 1 | 2021-09-14T13:08:13.000Z | 2021-09-14T13:08:13.000Z | unipipeline/utils/sig.py | aliaksandr-master/unipipeline | d8eac38534172aee59ab5777321cabe67f3779ef | [
"MIT"
] | null | null | null | import signal
from types import FrameType
from typing import Callable, Tuple, Any, Optional, Union
| 42.9375 | 186 | 0.640102 |
3b83dbfdc78516407288131080becdb5ade41b86 | 5,450 | py | Python | HuberyBlog/apps/blog/views.py | SomnambulistOfChina/ChineseSomnambulist | dc6efcb4ea1bc02f8999cd78bebfd648253631a6 | [
"Apache-2.0"
] | null | null | null | HuberyBlog/apps/blog/views.py | SomnambulistOfChina/ChineseSomnambulist | dc6efcb4ea1bc02f8999cd78bebfd648253631a6 | [
"Apache-2.0"
] | null | null | null | HuberyBlog/apps/blog/views.py | SomnambulistOfChina/ChineseSomnambulist | dc6efcb4ea1bc02f8999cd78bebfd648253631a6 | [
"Apache-2.0"
] | null | null | null | # from django.core.cache import cache
from django.db.models import Sum
from django.http import JsonResponse, Http404, HttpResponse
from django.shortcuts import render, redirect
from django.core.cache import cache
# from django.urls import reverse
# from django.views.decorators.csrf import csrf_exempt
from blog.models... | 25.707547 | 105 | 0.61633 |
3b848706a58c6a84476c600561514d874390dae1 | 11,173 | py | Python | ginga/examples/gw/plot_time_series.py | kyraikeda/ginga | e0ce979de4a87e12ba7a90eec0517a0be05d14bc | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 76 | 2015-01-05T14:46:14.000Z | 2022-03-23T04:10:54.000Z | ginga/examples/gw/plot_time_series.py | kyraikeda/ginga | e0ce979de4a87e12ba7a90eec0517a0be05d14bc | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 858 | 2015-01-17T01:55:12.000Z | 2022-03-08T20:20:31.000Z | ginga/examples/gw/plot_time_series.py | kyraikeda/ginga | e0ce979de4a87e12ba7a90eec0517a0be05d14bc | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 60 | 2015-01-14T21:59:07.000Z | 2022-02-13T03:38:49.000Z | #! /usr/bin/env python3
#
"""
Plot time series data in an interactive plot viewer.
Usage
=====
$ python3 plot_time_series.py --loglevel=20 --stderr
Plots add new data every second, and update on screen every 5 sec.
24 hours of data is kept. Each plot starts out in "autoaxis X PAN"
and "autoaxis Y VIS".
Things you c... | 30.444142 | 82 | 0.614786 |
3b84da4ea4fc9d56f6771900e256ad6f44422323 | 1,343 | py | Python | todo/[Keras]DeepFakes_FaceSwap/faceswap-master/scripts/extract.py | tonyhuang84/notebook_dnn | 59615cc2c6b6daadc5e96ca068552fcfaa147e5c | [
"BSD-2-Clause"
] | null | null | null | todo/[Keras]DeepFakes_FaceSwap/faceswap-master/scripts/extract.py | tonyhuang84/notebook_dnn | 59615cc2c6b6daadc5e96ca068552fcfaa147e5c | [
"BSD-2-Clause"
] | null | null | null | todo/[Keras]DeepFakes_FaceSwap/faceswap-master/scripts/extract.py | tonyhuang84/notebook_dnn | 59615cc2c6b6daadc5e96ca068552fcfaa147e5c | [
"BSD-2-Clause"
] | null | null | null | import cv2
from pathlib import Path
from lib.cli import DirectoryProcessor
from lib.faces_detect import detect_faces
from plugins.PluginLoader import PluginLoader
| 39.5 | 95 | 0.62621 |
3b8578610c1e2fc52d89aa678e89e47ae66ab205 | 3,552 | py | Python | machine-learning-gists/1a41cc3b5ef28bb7d99a43b64453bfc9c81d53cd/snippet.py | qwbjtu2015/dockerizeme | 9039beacf281ea7058d721784ed4eff054453b09 | [
"Apache-2.0"
] | null | null | null | machine-learning-gists/1a41cc3b5ef28bb7d99a43b64453bfc9c81d53cd/snippet.py | qwbjtu2015/dockerizeme | 9039beacf281ea7058d721784ed4eff054453b09 | [
"Apache-2.0"
] | null | null | null | machine-learning-gists/1a41cc3b5ef28bb7d99a43b64453bfc9c81d53cd/snippet.py | qwbjtu2015/dockerizeme | 9039beacf281ea7058d721784ed4eff054453b09 | [
"Apache-2.0"
] | null | null | null | '''
This script is based on the original work of Randal S. Olson (randalolson.com) for the Traveling Salesman Portrait project.
http://www.randalolson.com/2018/04/11/traveling-salesman-portrait-in-python/
Please check out the original project repository for information:
https://github.com/rhiever/Data-Analysis-and-Ma... | 39.466667 | 136 | 0.761543 |
3b867a71bab84e93ec2ed8b6bc8821e5088771cc | 23,656 | py | Python | anno2070/list_of_buildings.py | Aprillion/aprillion.github.io | 9327d2324954e941f50c5171cbcc5bb1b69fc039 | [
"MIT"
] | null | null | null | anno2070/list_of_buildings.py | Aprillion/aprillion.github.io | 9327d2324954e941f50c5171cbcc5bb1b69fc039 | [
"MIT"
] | null | null | null | anno2070/list_of_buildings.py | Aprillion/aprillion.github.io | 9327d2324954e941f50c5171cbcc5bb1b69fc039 | [
"MIT"
] | null | null | null | '''
Created on 13.12.2011
@author: peter.hozak@gmail.com
'''
from __future__ import division
import json, re #, sys
from xml.etree import ElementTree as ET
__version__ = "0.3"
# global settings
# txt files must be changed encoding from UCS-2 to ANSI :(( xml files are ok )
folder = "C:\\Users\\Peter\\Documents\\ANNO... | 55.661176 | 307 | 0.534283 |
3b87d0d0e1f347b21acbab96ded62520b7e2bd04 | 54 | py | Python | credentials.py | BAHETIHARSH/automate-linkedin | 99af94bf0894b2901d9f9a54ba2a440c69dcfc64 | [
"MIT"
] | null | null | null | credentials.py | BAHETIHARSH/automate-linkedin | 99af94bf0894b2901d9f9a54ba2a440c69dcfc64 | [
"MIT"
] | null | null | null | credentials.py | BAHETIHARSH/automate-linkedin | 99af94bf0894b2901d9f9a54ba2a440c69dcfc64 | [
"MIT"
] | null | null | null | loginid = "your login id"
password = "your password" | 27 | 27 | 0.703704 |
3b8d73bcbe102b75369e5e4c8b626fcf40a07c9c | 1,557 | py | Python | preprocess_data/pathway/util.py | rocke2020/AutoNER | e502371d26e8ec2de842a606e52021f4ad6f1572 | [
"Apache-2.0"
] | null | null | null | preprocess_data/pathway/util.py | rocke2020/AutoNER | e502371d26e8ec2de842a606e52021f4ad6f1572 | [
"Apache-2.0"
] | null | null | null | preprocess_data/pathway/util.py | rocke2020/AutoNER | e502371d26e8ec2de842a606e52021f4ad6f1572 | [
"Apache-2.0"
] | null | null | null | import logging, os
_nameToLevel = {
# 'CRITICAL': logging.CRITICAL,
# 'FATAL': logging.FATAL, # FATAL = CRITICAL
# 'ERROR': logging.ERROR,
# 'WARN': logging.WARNING,
'INFO': logging.INFO,
'DEBUG': logging.DEBUG,
}
def get_logger(name=__name__, log_file=None, log_level=logging.DEBUG, log_level_nam... | 28.309091 | 89 | 0.629416 |
3b8e0a858cbe8713d99629d535119594aeb08d18 | 4,975 | py | Python | examples/simultaneous_translation/utils/monotonic_attention.py | Shiguang-Guo/fairseq | c9d3df5679d0829cda8fc3c818b6cab52b78dc37 | [
"MIT"
] | 16,259 | 2018-05-02T02:31:30.000Z | 2022-03-31T21:50:23.000Z | examples/simultaneous_translation/utils/monotonic_attention.py | Shiguang-Guo/fairseq | c9d3df5679d0829cda8fc3c818b6cab52b78dc37 | [
"MIT"
] | 3,863 | 2018-05-02T13:42:39.000Z | 2022-03-31T19:03:32.000Z | examples/simultaneous_translation/utils/monotonic_attention.py | Shiguang-Guo/fairseq | c9d3df5679d0829cda8fc3c818b6cab52b78dc37 | [
"MIT"
] | 4,796 | 2018-05-02T07:55:51.000Z | 2022-03-31T14:46:45.000Z | from typing import Optional
import torch
from torch import Tensor
from examples.simultaneous_translation.utils.functions import (
exclusive_cumprod,
prob_check,
moving_sum,
)
def expected_alignment_from_p_choose(
p_choose: Tensor,
padding_mask: Optional[Tensor] = None,
eps: float = 1e-6
):
... | 27.486188 | 88 | 0.638995 |
3b8e8d06cfce2b43bdd7cdd30c37e30193ba81c6 | 540 | py | Python | memcache/test_naive.py | oldhill/halloween | 92de86a6d8e930ee5c0158be9fb47296432d2ba0 | [
"MIT"
] | null | null | null | memcache/test_naive.py | oldhill/halloween | 92de86a6d8e930ee5c0158be9fb47296432d2ba0 | [
"MIT"
] | null | null | null | memcache/test_naive.py | oldhill/halloween | 92de86a6d8e930ee5c0158be9fb47296432d2ba0 | [
"MIT"
] | null | null | null | import time
import unittest
import naive
if __name__ == '__main__':
unittest.main()
| 20.769231 | 51 | 0.62963 |
3b8ea57cf350f46a0b5175e07f66d2bedeb67fa8 | 8,795 | py | Python | environments/transfer_env/reacher_env.py | WilsonWangTHU/neural_graph_evolution | 9142b7f1c32c476aa44c83da38d3f0bacc276d73 | [
"MIT"
] | 33 | 2019-06-06T13:59:51.000Z | 2022-03-07T10:36:42.000Z | environments/transfer_env/reacher_env.py | WilsonWangTHU/neural_graph_evolution | 9142b7f1c32c476aa44c83da38d3f0bacc276d73 | [
"MIT"
] | 8 | 2019-07-09T16:58:28.000Z | 2022-02-10T00:27:39.000Z | environments/transfer_env/reacher_env.py | WilsonWangTHU/neural_graph_evolution | 9142b7f1c32c476aa44c83da38d3f0bacc276d73 | [
"MIT"
] | 12 | 2019-06-07T10:43:12.000Z | 2022-03-09T13:47:01.000Z | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# The reacher task
# @author:
# Tingwu (Wilson) Wang, July 22nd, 2017
# -----------------------------------------------------------------------------
import pdb
import numpy as np
from gym i... | 24.430556 | 79 | 0.621717 |
3b8ebfe0b1ca313f1d2207256efed0dbd4039431 | 38 | py | Python | chocopy-rs/test/original/pa2/expr_var_assign.py | wwylele/chocopy-wwylele | ef60c94cc9c2d7c8ac11cf2761b724a717ac36aa | [
"MIT"
] | 7 | 2021-08-28T18:20:45.000Z | 2022-02-01T07:35:59.000Z | chocopy-rs/test/original/pa2/expr_var_assign.py | wwylele/chocopy-wwylele | ef60c94cc9c2d7c8ac11cf2761b724a717ac36aa | [
"MIT"
] | 5 | 2020-03-04T23:49:17.000Z | 2021-12-09T21:42:55.000Z | tests/typecheck/expr_var_assign.py | yangdanny97/chocopy-python-frontend | d0fb63fc744771640fa4d06076743f42089899c1 | [
"MIT"
] | 3 | 2019-11-07T23:54:49.000Z | 2021-06-21T20:45:54.000Z | x:int = 1
o:object = None
x = o = 42
| 7.6 | 15 | 0.526316 |
3b90e01f97c9f9b164bb39ffe2d1651f169409d3 | 647 | py | Python | test/test_constraints.py | maffettone/constrained_sampler | 7674116d330ce3a56e44511797929127b4374a85 | [
"MIT"
] | null | null | null | test/test_constraints.py | maffettone/constrained_sampler | 7674116d330ce3a56e44511797929127b4374a85 | [
"MIT"
] | null | null | null | test/test_constraints.py | maffettone/constrained_sampler | 7674116d330ce3a56e44511797929127b4374a85 | [
"MIT"
] | null | null | null | import unittest
import os
from constrained_sampler.constraints import Constraint
if __name__ == '__main__':
unittest.main()
| 28.130435 | 104 | 0.704791 |
3b91a60fc28a44b7333d8840574bee24164ae81f | 318 | py | Python | doc/week1/w1d3/fasta.py | VinceSD/mebioda | 79021e7e0313ed7b2a116a4f2c1099eac9d5ed63 | [
"MIT"
] | null | null | null | doc/week1/w1d3/fasta.py | VinceSD/mebioda | 79021e7e0313ed7b2a116a4f2c1099eac9d5ed63 | [
"MIT"
] | null | null | null | doc/week1/w1d3/fasta.py | VinceSD/mebioda | 79021e7e0313ed7b2a116a4f2c1099eac9d5ed63 | [
"MIT"
] | 2 | 2019-12-09T12:05:59.000Z | 2019-12-09T12:09:57.000Z | from Bio import SeqIO # sudo pip install biopython
with open("Danaus.fas", "rU") as handle:
# Example: retain COI
for record in SeqIO.parse(handle, "fasta"):
fields = record.description.split('|')
if fields[2] == 'COI-5P':
print '>' + record.description
print record.seq
| 31.8 | 50 | 0.610063 |
3b91e4b5aa6dd4f1b05b89a6f707cb59981bdd7e | 68 | py | Python | 2 semester/PW/Coursera/Python/1 Week/11.py | kurpenok/Labs | 069c92b7964a1445d093313b38ebdc56318d2a73 | [
"MIT"
] | 1 | 2022-02-06T17:50:25.000Z | 2022-02-06T17:50:25.000Z | 2 semester/PW/Coursera/Python/1 Week/11.py | kurpenok/Labs | 069c92b7964a1445d093313b38ebdc56318d2a73 | [
"MIT"
] | null | null | null | 2 semester/PW/Coursera/Python/1 Week/11.py | kurpenok/Labs | 069c92b7964a1445d093313b38ebdc56318d2a73 | [
"MIT"
] | 1 | 2022-03-02T06:45:06.000Z | 2022-03-02T06:45:06.000Z | m = int(input())
m = m % 1440
a = m // 60
b = m % 60
print(a, b)
| 7.555556 | 16 | 0.441176 |
3b9296a58d260ab2a4323504b1f9faec2a308ddd | 1,344 | py | Python | polls_service/polls/tests/test_services.py | KirovVerst/django-polls-site | 301103c94e239d5d63e5ffb751abedcf3b927df2 | [
"MIT"
] | 1 | 2021-02-27T16:55:45.000Z | 2021-02-27T16:55:45.000Z | polls_service/polls/tests/test_services.py | KirovVerst/django-polls-site | 301103c94e239d5d63e5ffb751abedcf3b927df2 | [
"MIT"
] | 4 | 2021-03-30T13:26:50.000Z | 2021-09-22T19:03:07.000Z | polls_service/polls/tests/test_services.py | KirovVerst/polls-service | 301103c94e239d5d63e5ffb751abedcf3b927df2 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.test import TestCase
from django.utils import timezone
from polls.models import Choice
from polls.models import Question
from polls.services import VoteService
| 40.727273 | 102 | 0.723958 |
3b933563fc80b8fe68d1b6435ab7769cf6846aab | 90 | py | Python | contak/apps.py | dasfrosty/contak-service | 49808b6232e751138e0e17683045540fbe5861d1 | [
"MIT"
] | null | null | null | contak/apps.py | dasfrosty/contak-service | 49808b6232e751138e0e17683045540fbe5861d1 | [
"MIT"
] | null | null | null | contak/apps.py | dasfrosty/contak-service | 49808b6232e751138e0e17683045540fbe5861d1 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 15 | 33 | 0.755556 |
3b934e63bba3768ddeff1f2ea4c62427c1ff6de9 | 5,600 | py | Python | Script_Backup.py | Fanliaa/Projet6_OpenClassRooms | 2fd0a3540c04f972e7c35180e24cbd9a8d5687ab | [
"MIT"
] | null | null | null | Script_Backup.py | Fanliaa/Projet6_OpenClassRooms | 2fd0a3540c04f972e7c35180e24cbd9a8d5687ab | [
"MIT"
] | null | null | null | Script_Backup.py | Fanliaa/Projet6_OpenClassRooms | 2fd0a3540c04f972e7c35180e24cbd9a8d5687ab | [
"MIT"
] | null | null | null | #!/bin/bash/python
#
# Importation des librairies utiles
import json
import os
import pipes
import time
import datetime
import sys
import zipfile
from os.path import basename
import paramiko
import logging
import boto3
from botocore.exceptions import ClientError
# Declaration des variables
DATETIME = time.strftime('%... | 43.75 | 225 | 0.632321 |
3b96c1333b6dfd395da0f48f805e9962fcefe5e8 | 399 | py | Python | lab/refactoring/remove_control_flag2.py | JericHunter/SPD-2.31-Testing-and-Architecture | e76030410d08f74dd867ad32e05de38e037dacc3 | [
"MIT"
] | null | null | null | lab/refactoring/remove_control_flag2.py | JericHunter/SPD-2.31-Testing-and-Architecture | e76030410d08f74dd867ad32e05de38e037dacc3 | [
"MIT"
] | null | null | null | lab/refactoring/remove_control_flag2.py | JericHunter/SPD-2.31-Testing-and-Architecture | e76030410d08f74dd867ad32e05de38e037dacc3 | [
"MIT"
] | null | null | null | # by Kami Bigdely
# Remove control flag
# Reference: https://stackoverflow.com/a/10140333/81306
# This code snippet reads up to the end of the file
n = 16
file = 'foobar.file'
readfile(file, n) | 23.470588 | 55 | 0.611529 |
3b979b8b27ffcfe9bd6784d35e976ab788514c6d | 146 | py | Python | src/examples/minimal.py | apatrushev/aioflows | 2e8fb3d84c0b177931bb92f9693349985c83fe37 | [
"MIT"
] | 2 | 2020-11-22T13:51:34.000Z | 2020-11-24T20:18:15.000Z | src/examples/minimal.py | apatrushev/aioflows | 2e8fb3d84c0b177931bb92f9693349985c83fe37 | [
"MIT"
] | null | null | null | src/examples/minimal.py | apatrushev/aioflows | 2e8fb3d84c0b177931bb92f9693349985c83fe37 | [
"MIT"
] | null | null | null | import asyncio
from aioflows.simple import Printer, Ticker
asyncio.run(start())
| 13.272727 | 43 | 0.691781 |
3b979d74f6e8f31c561e6e8ceb34cc6c5fafe859 | 3,197 | py | Python | config/HttpdParser.py | automicus/OpenAlarm | 68bcc4aa75338e8d5a2ff423029f7c4064d2b9c8 | [
"Apache-2.0"
] | 1 | 2016-03-30T05:41:19.000Z | 2016-03-30T05:41:19.000Z | config/HttpdParser.py | automicus/OpenAlarm | 68bcc4aa75338e8d5a2ff423029f7c4064d2b9c8 | [
"Apache-2.0"
] | null | null | null | config/HttpdParser.py | automicus/OpenAlarm | 68bcc4aa75338e8d5a2ff423029f7c4064d2b9c8 | [
"Apache-2.0"
] | null | null | null | from HTMLParser import HTMLParser
def readHttpd(fname):
parser = HttpdParser()
return parser.read(fname)
if __name__ == "__main__":
print readHttpd('../httpd.conf')
| 26.865546 | 71 | 0.541758 |
3b9812e3197d01caf52753ac8dad1d630195216c | 10,175 | py | Python | cnnlstm/forecast.py | mingjiewong/Kaggle-M5-Forecasting-Accuracy-2020 | 6467a08640990f2d07e517adf7bacd566fb442c4 | [
"MIT"
] | null | null | null | cnnlstm/forecast.py | mingjiewong/Kaggle-M5-Forecasting-Accuracy-2020 | 6467a08640990f2d07e517adf7bacd566fb442c4 | [
"MIT"
] | null | null | null | cnnlstm/forecast.py | mingjiewong/Kaggle-M5-Forecasting-Accuracy-2020 | 6467a08640990f2d07e517adf7bacd566fb442c4 | [
"MIT"
] | null | null | null | import tensorflow as tf
import pandas as pd
import numpy as np
from sklearn.preprocessing import MinMaxScaler
from data_processing.helpers import Config
tf.random.set_seed(51)
np.random.seed(51)
| 41.194332 | 204 | 0.617396 |
3b9a773e3abc846607b76f0dc17a733001fd9d52 | 1,048 | py | Python | src/graia/amnesia/transport/common/websocket/shortcut.py | GraiaProject/Amnesia | d48d3084f776f788767939d73774146086358887 | [
"MIT"
] | 2 | 2022-03-13T09:12:44.000Z | 2022-03-28T10:53:06.000Z | src/graia/amnesia/transport/common/websocket/shortcut.py | GraiaProject/Amnesia | d48d3084f776f788767939d73774146086358887 | [
"MIT"
] | null | null | null | src/graia/amnesia/transport/common/websocket/shortcut.py | GraiaProject/Amnesia | d48d3084f776f788767939d73774146086358887 | [
"MIT"
] | null | null | null | from functools import wraps
from typing import TYPE_CHECKING, Any, AnyStr, Callable, Type, TypeVar
from graia.amnesia.json import TJson
from graia.amnesia.json.frontend import Json
if TYPE_CHECKING:
from graia.amnesia.transport.common.websocket.io import AbstractWebsocketIO
_S = TypeVar("_S")
_R = TypeVar("_R")... | 28.324324 | 91 | 0.667939 |
3b9d427a5ce89470aa288f0a8a1dd15c162dccb4 | 190 | py | Python | src/zeit/ldap/generation/__init__.py | ZeitOnline/zeit.ldap | 42dbf372d8108a011b3d112126e3769a130e52e7 | [
"BSD-3-Clause"
] | null | null | null | src/zeit/ldap/generation/__init__.py | ZeitOnline/zeit.ldap | 42dbf372d8108a011b3d112126e3769a130e52e7 | [
"BSD-3-Clause"
] | 1 | 2017-07-14T09:52:30.000Z | 2017-07-14T09:52:30.000Z | src/zeit/ldap/generation/__init__.py | ZeitOnline/zeit.ldap | 42dbf372d8108a011b3d112126e3769a130e52e7 | [
"BSD-3-Clause"
] | null | null | null | import zope.generations.generations
minimum_generation = 3
generation = 3
manager = zope.generations.generations.SchemaManager(
minimum_generation, generation, "zeit.ldap.generation")
| 23.75 | 59 | 0.810526 |
3b9ea716c66447211a1101f9542e4f8840955479 | 2,345 | py | Python | futaba/download.py | Hoffs/futaba | 4d07c421c4229c81ddd42da1a49594b8cf11832d | [
"MIT"
] | 23 | 2018-09-17T09:06:27.000Z | 2021-05-27T15:21:37.000Z | futaba/download.py | Hoffs/futaba | 4d07c421c4229c81ddd42da1a49594b8cf11832d | [
"MIT"
] | 257 | 2018-08-18T21:27:54.000Z | 2020-12-29T23:27:10.000Z | futaba/download.py | Hoffs/futaba | 4d07c421c4229c81ddd42da1a49594b8cf11832d | [
"MIT"
] | 22 | 2018-09-09T09:03:13.000Z | 2021-11-09T03:34:34.000Z | #
# download.py
#
# futaba - A Discord Mod bot for the Programming server
# Copyright (c) 2017-2020 Jake Richardson, Ammon Smith, jackylam5
#
# futaba is available free of charge under the terms of the MIT
# License. You are free to redistribute and/or modify it under those
# terms. It is distributed in the hopes that ... | 31.266667 | 85 | 0.639232 |
3b9ec30dc6324941e3f8a528c1f965765ba0b429 | 16,986 | py | Python | Tuchart3.0 -beta/main.py | Seedarchangel/TuChart | 46ab90d58f231dc7e3d0a623664bf5f742161d1d | [
"MIT"
] | 801 | 2017-08-30T02:56:29.000Z | 2022-03-31T07:14:56.000Z | Tuchart3.0 -beta/main.py | keybatman/HareChart | 46ab90d58f231dc7e3d0a623664bf5f742161d1d | [
"MIT"
] | 28 | 2017-08-31T21:58:50.000Z | 2020-05-11T02:09:30.000Z | Tuchart3.0 -beta/main.py | keybatman/HareChart | 46ab90d58f231dc7e3d0a623664bf5f742161d1d | [
"MIT"
] | 306 | 2017-08-30T02:59:52.000Z | 2022-03-31T07:04:49.000Z | #-*- coding:utf-8 -*-
from __future__ import print_function
import os,sys,sip,time
from datetime import datetime,timedelta
from qtpy.QtWidgets import QTreeWidgetItem,QMenu,QApplication,QAction,QMainWindow
from qtpy import QtGui,QtWidgets
from qtpy.QtCore import Qt,QUrl,QDate
from Graph import graphpage
from layout impo... | 44.936508 | 128 | 0.594784 |
3b9f841a99c7ae50e88504be5283d7a03d6ed2e4 | 2,101 | py | Python | setup.py | EncoreTechnologies/py-menandmice | 3233d884744a9df0a8b0781dd3c84845955c5200 | [
"Apache-2.0"
] | 1 | 2017-06-21T12:33:43.000Z | 2017-06-21T12:33:43.000Z | setup.py | EncoreTechnologies/py-menandmice | 3233d884744a9df0a8b0781dd3c84845955c5200 | [
"Apache-2.0"
] | null | null | null | setup.py | EncoreTechnologies/py-menandmice | 3233d884744a9df0a8b0781dd3c84845955c5200 | [
"Apache-2.0"
] | null | null | null | # Licensed to the Encore Technologies ("Encore") under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use... | 31.833333 | 86 | 0.735364 |
3b9f8d121dded93a938e61065a3bf850418949f4 | 79 | py | Python | mmpose/models/necks/__init__.py | jlgzb/mmpose | 0ecf06e3580f141f6ab44645768a0d6d8ba48383 | [
"Apache-2.0"
] | 367 | 2022-01-14T03:32:25.000Z | 2022-03-31T04:48:20.000Z | mmpose/models/necks/__init__.py | jlgzb/mmpose | 0ecf06e3580f141f6ab44645768a0d6d8ba48383 | [
"Apache-2.0"
] | 27 | 2022-01-27T07:12:49.000Z | 2022-03-31T04:31:13.000Z | mmpose/models/necks/__init__.py | jlgzb/mmpose | 0ecf06e3580f141f6ab44645768a0d6d8ba48383 | [
"Apache-2.0"
] | 53 | 2022-01-18T11:21:43.000Z | 2022-03-31T06:42:41.000Z | from .gap_neck import GlobalAveragePooling
__all__ = ['GlobalAveragePooling']
| 19.75 | 42 | 0.822785 |
3b9fb3dac066072f489c406ee52505f3cf651095 | 14,898 | py | Python | Script_Kali_Machine/DownloadTools_Old.py | manesec/tools4me | d6f0e41aabc3dc4fdc1ff8ad8bebaf578fdbe69e | [
"MIT"
] | null | null | null | Script_Kali_Machine/DownloadTools_Old.py | manesec/tools4me | d6f0e41aabc3dc4fdc1ff8ad8bebaf578fdbe69e | [
"MIT"
] | null | null | null | Script_Kali_Machine/DownloadTools_Old.py | manesec/tools4me | d6f0e41aabc3dc4fdc1ff8ad8bebaf578fdbe69e | [
"MIT"
] | 2 | 2022-02-09T07:30:12.000Z | 2022-03-06T08:00:22.000Z | # List slow update ..
Optional_Installation = {
# Update ExploitDB
"EXPLOITDB" : True,
# Install ZAP
# It have some bug in old kali linux, if you are running old kali linux please disable it.
"ZAP" : False,
# Install DBeaver
"DBEAVER" : True,
# Install Big Webshell Collection ~ 0.84 G... | 39.941019 | 142 | 0.647872 |
3ba11498a776ef72e094f9860944bc017a359568 | 7,375 | py | Python | metrics/recall/recall.py | leondz/datasets | 4110fb6034f79c5fb470cf1043ff52180e9c63b7 | [
"Apache-2.0"
] | 3,395 | 2020-05-13T21:16:50.000Z | 2020-09-10T14:36:50.000Z | metrics/recall/recall.py | leondz/datasets | 4110fb6034f79c5fb470cf1043ff52180e9c63b7 | [
"Apache-2.0"
] | 370 | 2020-05-13T21:28:57.000Z | 2020-09-10T11:03:38.000Z | metrics/recall/recall.py | leondz/datasets | 4110fb6034f79c5fb470cf1043ff52180e9c63b7 | [
"Apache-2.0"
] | 258 | 2020-05-15T01:17:09.000Z | 2020-09-10T12:41:43.000Z | # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.... | 54.62963 | 503 | 0.672949 |
3ba1c5c69fdcb44ffda811189f8175a51d2e047b | 1,354 | py | Python | KonaChan-Download/PicDownload.py | TsumugiWenders/Archives | faeb60c8592a1ca33ef36399bc00e56e822323fe | [
"MIT"
] | null | null | null | KonaChan-Download/PicDownload.py | TsumugiWenders/Archives | faeb60c8592a1ca33ef36399bc00e56e822323fe | [
"MIT"
] | null | null | null | KonaChan-Download/PicDownload.py | TsumugiWenders/Archives | faeb60c8592a1ca33ef36399bc00e56e822323fe | [
"MIT"
] | null | null | null | import traceback
import urllib
from time import sleep
import requests
from bs4 import BeautifulSoup
import os
if __name__ == '__main__':
if os.path.exists('IMG') is False:
os.makedirs('IMG')
start = 300000
#end = 600000
end = 9999999999999
for i in range(start,end+1):
... | 30.772727 | 83 | 0.581979 |
8e5362f989311d903403ad3e14e1eeefea583267 | 653 | py | Python | formal_modelling/ela_balance_sheet_effects.py | christophergandrud/ela_fiscal_costs | 4f502980a6338944f4807f2ea7b05bf374b3417c | [
"MIT"
] | 2 | 2015-01-21T02:54:12.000Z | 2015-01-21T15:31:55.000Z | formal_modelling/ela_balance_sheet_effects.py | christophergandrud/ela_fiscal_costs | 4f502980a6338944f4807f2ea7b05bf374b3417c | [
"MIT"
] | null | null | null | formal_modelling/ela_balance_sheet_effects.py | christophergandrud/ela_fiscal_costs | 4f502980a6338944f4807f2ea7b05bf374b3417c | [
"MIT"
] | null | null | null | # Find simplified formula for bank balance sheet change as a result of
# ELA collateral seizure
# Christopher Gandrud
# MIT License
################################################################################
# Import SymPy
import sympy as sp
from sympy.abc import eta, gamma
# Define symbols (eta and gamma import... | 27.208333 | 80 | 0.633997 |
8e544f3d4e7f56595f218e1ef6f80da40b3926fd | 5,411 | py | Python | beam.py | numediart/multi-rnn-wordlevel | 214e43f6c6f9de3a610389881ffbe4521c9df635 | [
"MIT"
] | null | null | null | beam.py | numediart/multi-rnn-wordlevel | 214e43f6c6f9de3a610389881ffbe4521c9df635 | [
"MIT"
] | null | null | null | beam.py | numediart/multi-rnn-wordlevel | 214e43f6c6f9de3a610389881ffbe4521c9df635 | [
"MIT"
] | null | null | null | # The MIT License (MIT)
#
# Copyright (c) 2015 Sherjil Ozair, 2018 UMONS
#
# 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 ... | 41.623077 | 105 | 0.625208 |
8e55e38bc2b4e8c638f7719b125e8f660e843387 | 4,454 | py | Python | slug/win.py | xonsh/slug | b4a229f930eb4bf7b508c0a454aceafb7e0fb8b9 | [
"BSD-3-Clause"
] | 17 | 2017-04-30T17:58:49.000Z | 2022-01-24T20:25:01.000Z | slug/win.py | xonsh/slug | b4a229f930eb4bf7b508c0a454aceafb7e0fb8b9 | [
"BSD-3-Clause"
] | 25 | 2017-02-05T23:17:16.000Z | 2017-12-12T21:46:19.000Z | slug/win.py | xonsh/slug | b4a229f930eb4bf7b508c0a454aceafb7e0fb8b9 | [
"BSD-3-Clause"
] | 1 | 2019-03-20T11:53:36.000Z | 2019-03-20T11:53:36.000Z | """
Versions of the base functionality optimized for the NT kernel.
The 9x kernel is just unsupported.
"""
import ctypes
import _winapi
import signal
from . import base
__all__ = ('Process', 'ProcessGroup')
# {{{ win32 API calls
CreateJobObject = ctypes.windll.kernel32.CreateJobObjectW
CreateJobObject.argtypes ... | 30.930556 | 103 | 0.679614 |
8e560ea211629f88d2305a2cde17e367e5845602 | 785 | py | Python | util.py | davidar/polya | b796e38f39c8d5d82db67275423127d774fde171 | [
"MIT"
] | 6 | 2015-09-10T14:35:03.000Z | 2021-01-16T09:32:00.000Z | util.py | davidar/polya | b796e38f39c8d5d82db67275423127d774fde171 | [
"MIT"
] | null | null | null | util.py | davidar/polya | b796e38f39c8d5d82db67275423127d774fde171 | [
"MIT"
] | 1 | 2017-09-13T19:10:35.000Z | 2017-09-13T19:10:35.000Z | import operator
| 24.53125 | 38 | 0.550318 |
8e57671357a3114ced6ad66f000ad514cab3904f | 3,677 | py | Python | commandable/command_loader.py | cedriclv/nci-python-commands | c6141c5ca4de155fd033c9f79a670192272a5615 | [
"Apache-2.0"
] | 1 | 2017-12-19T16:40:21.000Z | 2017-12-19T16:40:21.000Z | commandable/command_loader.py | cedriclv/nci-python-commands | c6141c5ca4de155fd033c9f79a670192272a5615 | [
"Apache-2.0"
] | 4 | 2018-01-12T14:37:27.000Z | 2018-03-12T12:35:49.000Z | commandable/command_loader.py | cedriclv/nci-python-commands | c6141c5ca4de155fd033c9f79a670192272a5615 | [
"Apache-2.0"
] | 1 | 2018-02-26T17:13:26.000Z | 2018-02-26T17:13:26.000Z | # Copyright 2017 NEWCRAFT GROUP B.V.
#
# 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 agre... | 28.068702 | 114 | 0.590427 |
8e5797cf08b188c5fd5c095d760208bf38b5f01a | 1,309 | py | Python | src/2020/binary_boarding.py | lazycoco-net/advent-of-code | 3c829650c054f7c5d6665ceb2a3544f151962bc7 | [
"MIT"
] | 1 | 2020-12-08T06:49:33.000Z | 2020-12-08T06:49:33.000Z | src/2020/binary_boarding.py | lazycoco-net/advent-of-code | 3c829650c054f7c5d6665ceb2a3544f151962bc7 | [
"MIT"
] | null | null | null | src/2020/binary_boarding.py | lazycoco-net/advent-of-code | 3c829650c054f7c5d6665ceb2a3544f151962bc7 | [
"MIT"
] | null | null | null | import math
import re
import time
from typing import Dict
if __name__ == '__main__':
with open('binary_boarding.txt', 'r') as f:
star_time = time.time()
maximum = -math.inf
seats_taken = {i: False for i in range(0, 128 * 8)}
for line in f:
match = re.match(r'([B|F]{7}... | 36.361111 | 130 | 0.620321 |
8e584128245384209ee3f11e0e410018e7765c9c | 9,938 | py | Python | toastbot/__main__.py | mdegreg/discord-toastlogger | 31fc69fa3e0b94c3885f6ed2dc77f6e70b8f78c1 | [
"MIT"
] | null | null | null | toastbot/__main__.py | mdegreg/discord-toastlogger | 31fc69fa3e0b94c3885f6ed2dc77f6e70b8f78c1 | [
"MIT"
] | 8 | 2017-08-19T03:41:21.000Z | 2017-08-19T03:44:03.000Z | toastbot/__main__.py | mdegreg/discord-toastlogger | 31fc69fa3e0b94c3885f6ed2dc77f6e70b8f78c1 | [
"MIT"
] | null | null | null | import collections
import logging
import asyncio
import importlib
import pip
import toastbot.toast as toast
try:
import discord
import discord.ext.commands as commands
except ImportError:
print('Installing discord package...')
pip.main(['install', 'discord'])
import discord
import discord.ext... | 38.223077 | 119 | 0.657577 |
8e59c21141a721d1a6e1f045be78ca7645d03839 | 1,631 | py | Python | 2019/day19/beam.py | ivobatkovic/advent-of-code | e43489bcd2307f0f3ac8b0ec4e850f0a201f9944 | [
"MIT"
] | 3 | 2019-12-14T16:24:50.000Z | 2020-12-06T16:40:13.000Z | 2019/day19/beam.py | ivobatkovic/advent-of-code | e43489bcd2307f0f3ac8b0ec4e850f0a201f9944 | [
"MIT"
] | 4 | 2019-12-03T14:18:13.000Z | 2020-12-03T08:29:32.000Z | 2019/day19/beam.py | ivobatkovic/advent-of-code | e43489bcd2307f0f3ac8b0ec4e850f0a201f9944 | [
"MIT"
] | 2 | 2019-12-06T07:25:57.000Z | 2020-12-08T12:42:37.000Z | from os.path import dirname
from os.path import realpath
from os.path import join
import sys
sys.path.append(join(dirname(realpath(__file__)), *[".."]))
from day5.intcode import Intcode
| 30.203704 | 68 | 0.532189 |
8e5a77b0b67c023d2789aba656c385ac5032dd71 | 5,104 | py | Python | backend/infs3202/settings/base.py | eivrei/INFS3202 | e5b2aa29768a75475f4be3a31d824de842c8b1e9 | [
"MIT"
] | null | null | null | backend/infs3202/settings/base.py | eivrei/INFS3202 | e5b2aa29768a75475f4be3a31d824de842c8b1e9 | [
"MIT"
] | 9 | 2020-02-12T00:03:08.000Z | 2022-02-10T07:52:04.000Z | backend/infs3202/settings/base.py | eivrei/INFS3202 | e5b2aa29768a75475f4be3a31d824de842c8b1e9 | [
"MIT"
] | null | null | null | """
Django settings for infs3202 project.
Generated by 'django-admin startproject' using Django 2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
fro... | 28.674157 | 140 | 0.702194 |
8e5ac2348781f289888c36eddf463b89f8679a94 | 5,353 | py | Python | nilmtk_converter/generate_metadata.py | klemenjak/antgen | a6e465ee2e9150cf453ac84310e9399f2bb96f52 | [
"MIT"
] | null | null | null | nilmtk_converter/generate_metadata.py | klemenjak/antgen | a6e465ee2e9150cf453ac84310e9399f2bb96f52 | [
"MIT"
] | null | null | null | nilmtk_converter/generate_metadata.py | klemenjak/antgen | a6e465ee2e9150cf453ac84310e9399f2bb96f52 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# ANTgen nilmtk_converter -- NILMTK output for the AMBAL-based NILM Trace generator
#
# Copyright (c) 2019-2020 Andreas Reinhardt <reinhardt@ieee.org>, Christoph Klemenjak
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated ... | 35.926174 | 128 | 0.639081 |
8e5ad2559eb74a2ba3295de077382652f6e538ac | 3,599 | py | Python | utils/single_scripts/get_fundamentals.py | GrovesD2/ma_crossover | ad46039fce50f8ed1bff2c262495cf6bcb9f9f8a | [
"MIT"
] | null | null | null | utils/single_scripts/get_fundamentals.py | GrovesD2/ma_crossover | ad46039fce50f8ed1bff2c262495cf6bcb9f9f8a | [
"MIT"
] | null | null | null | utils/single_scripts/get_fundamentals.py | GrovesD2/ma_crossover | ad46039fce50f8ed1bff2c262495cf6bcb9f9f8a | [
"MIT"
] | null | null | null | import time
from alpha_vantage.fundamentaldata import FundamentalData
def fundamental_download_case(case: int,
ticker: str,
fd):
'''
Due to the API limit of 5 calls per minute, this function was desinged so
that every 5th download can impose a sl... | 31.849558 | 86 | 0.580439 |
8e5dbf77c1f4b6d7c9826552285c5cd207894832 | 1,257 | py | Python | miconvolucion.py | A01377098/pruebaSemanaTEC-A01377098 | bf223c3e0bd79d8a7885f4ec9f86d62549bde208 | [
"MIT"
] | null | null | null | miconvolucion.py | A01377098/pruebaSemanaTEC-A01377098 | bf223c3e0bd79d8a7885f4ec9f86d62549bde208 | [
"MIT"
] | null | null | null | miconvolucion.py | A01377098/pruebaSemanaTEC-A01377098 | bf223c3e0bd79d8a7885f4ec9f86d62549bde208 | [
"MIT"
] | null | null | null | #Funcin que calcula la matriz resultante "C" despus de aplicar la operacin convolucin de A*B=
# EJERCICIO 28 DE OCTUBRE
# Eva Denisse Vargas Sosa A01377098
import numpy as np
Matriz = [[6, 9, 0, 3], [8, 4, 9, 1], [4, 1, 3, 12], [3, 2, 1, 100]]
Filtro = [[1, 0, 2], [5, 0, 9], [6, 2, 1]]
A = np.array(Matriz)
B = np... | 30.658537 | 97 | 0.504375 |
8e605be6a5e8d416273e08bffcd14fcff9ddc548 | 848 | py | Python | blog/home/migrations/0001_initial.py | iflyBird/blog | 33dbf6345ae4ae64f726c7ce5353b7c7864351af | [
"MIT"
] | null | null | null | blog/home/migrations/0001_initial.py | iflyBird/blog | 33dbf6345ae4ae64f726c7ce5353b7c7864351af | [
"MIT"
] | null | null | null | blog/home/migrations/0001_initial.py | iflyBird/blog | 33dbf6345ae4ae64f726c7ce5353b7c7864351af | [
"MIT"
] | null | null | null | # Generated by Django 2.1.8 on 2020-05-27 15:24
import datetime
from django.db import migrations, models
from django.utils.timezone import utc
| 28.266667 | 118 | 0.568396 |
8e66950476f3120b32bcd04589815986e5d86f82 | 1,587 | py | Python | Ulanowicz_Chris/Assignments/ninja_gold/server.py | webguru001/Python-Django-Web | 6264bc4c90ef1432ba0902c76b567cf3caaae221 | [
"MIT"
] | 5 | 2019-05-17T01:30:02.000Z | 2021-06-17T21:02:58.000Z | Ulanowicz_Chris/Assignments/ninja_gold/server.py | curest0x1021/Python-Django-Web | 6264bc4c90ef1432ba0902c76b567cf3caaae221 | [
"MIT"
] | null | null | null | Ulanowicz_Chris/Assignments/ninja_gold/server.py | curest0x1021/Python-Django-Web | 6264bc4c90ef1432ba0902c76b567cf3caaae221 | [
"MIT"
] | null | null | null | from flask import Flask, render_template, redirect, session, request
import random
import datetime
app = Flask(__name__)
app.secret_key = "12345678asdfghjk"
app.run() | 29.943396 | 84 | 0.625709 |
8e66f42aa9f3d76581d68b02d53d96cb65653cfe | 1,066 | py | Python | src/compas_ghpython/artists/polylineartist.py | Sam-Bouten/compas | 011c7779ded9b69bb602568b470bb0443e336f62 | [
"MIT"
] | null | null | null | src/compas_ghpython/artists/polylineartist.py | Sam-Bouten/compas | 011c7779ded9b69bb602568b470bb0443e336f62 | [
"MIT"
] | null | null | null | src/compas_ghpython/artists/polylineartist.py | Sam-Bouten/compas | 011c7779ded9b69bb602568b470bb0443e336f62 | [
"MIT"
] | null | null | null | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import compas_ghpython
from compas.artists import PrimitiveArtist
from .artist import GHArtist
| 26.65 | 112 | 0.680113 |
8e679278b307b465ecd252c4828b2ff98fb05271 | 14,890 | py | Python | stade/core/views.py | ImageMarkup/stade | d930e8c7487754b2babd6a3be69f2c614cd7f609 | [
"Apache-2.0"
] | 4 | 2019-09-25T22:57:32.000Z | 2021-03-03T16:49:30.000Z | stade/core/views.py | ImageMarkup/stade | d930e8c7487754b2babd6a3be69f2c614cd7f609 | [
"Apache-2.0"
] | 55 | 2019-10-30T16:58:43.000Z | 2021-10-09T23:26:03.000Z | stade/core/views.py | ImageMarkup/stade | d930e8c7487754b2babd6a3be69f2c614cd7f609 | [
"Apache-2.0"
] | 1 | 2020-02-03T17:14:32.000Z | 2020-02-03T17:14:32.000Z | from datetime import timedelta
import logging
from django.conf import settings
from django.contrib import messages
from django.contrib.auth.decorators import login_required, user_passes_test
from django.contrib.auth.models import User
from django.db.models import Count, Exists, OuterRef, Prefetch
from django.http impo... | 33.611738 | 100 | 0.651041 |
8e67cd9cfa819f5435d8aaa629ca0362047fd00b | 2,356 | py | Python | auctions/utils.py | zebadiahtaylor/cs50-Commerce | c8c56a0da861a32b1929053dd62e926e37f6b1b5 | [
"MIT"
] | null | null | null | auctions/utils.py | zebadiahtaylor/cs50-Commerce | c8c56a0da861a32b1929053dd62e926e37f6b1b5 | [
"MIT"
] | null | null | null | auctions/utils.py | zebadiahtaylor/cs50-Commerce | c8c56a0da861a32b1929053dd62e926e37f6b1b5 | [
"MIT"
] | null | null | null | from .models import Auction, Bid, Comment, User
from django.db.models import Max
def has_bids(auction):
"""
Returns True if others have bid on the item.
TODO: Throws TypeError if user not logged in
"""
# auction = Auction.objects.get(id=auction)
has_bids = False
try:
current_bid ... | 24.8 | 110 | 0.660866 |
8e67d515242da662f008461e6ce926c1409d9c17 | 123 | py | Python | demo_broadcast.py | Monster880/pytorch_py | 9c5ac5974f48edb5ea3d897a1100a63d488c61d9 | [
"MIT"
] | null | null | null | demo_broadcast.py | Monster880/pytorch_py | 9c5ac5974f48edb5ea3d897a1100a63d488c61d9 | [
"MIT"
] | null | null | null | demo_broadcast.py | Monster880/pytorch_py | 9c5ac5974f48edb5ea3d897a1100a63d488c61d9 | [
"MIT"
] | null | null | null | import torch
a = torch.rand(2,4,1,3)
b = torch.rand(4,2,3)
c = a + b
# 2*4*2*3
print(a)
print(b)
print(c)
print(c.shape)
| 10.25 | 23 | 0.601626 |
8e69a5c8081ab67d24d71533f90942eb113eab78 | 1,178 | py | Python | src/test.py | D038806/face_classification | 9be2b51871008c97f3e71e4ceb2d4d031a0ca363 | [
"MIT"
] | null | null | null | src/test.py | D038806/face_classification | 9be2b51871008c97f3e71e4ceb2d4d031a0ca363 | [
"MIT"
] | 7 | 2019-12-16T21:39:15.000Z | 2021-10-12T22:56:31.000Z | src/test.py | Huang-chi/face_classification | 9be2b51871008c97f3e71e4ceb2d4d031a0ca363 | [
"MIT"
] | null | null | null | import cv2 as cv
import matplotlib.pyplot as plt
import random as rd
import pandas as pd
from emotion_icon import load_emotion_icon
angry_man = None
all_image = load_emotion_icon()
# images = pd.DataFrame(all_image)
# print(all_image['angry_man'])
# load
# angry_man = cv.imread("./img/angry_man.jpg... | 24.040816 | 62 | 0.656197 |
8e6c720ed11080cd24768da2e5b31afb17339d1c | 1,778 | py | Python | tests/test_urls.py | kverdecia/dj-mypypi2 | 4ca5f67901a6a41029b4e1b0eccf8d74d4958b58 | [
"MIT"
] | 1 | 2021-08-12T08:59:09.000Z | 2021-08-12T08:59:09.000Z | tests/test_urls.py | kverdecia/dj-mypypi2 | 4ca5f67901a6a41029b4e1b0eccf8d74d4958b58 | [
"MIT"
] | 8 | 2021-04-24T06:08:07.000Z | 2021-07-25T07:18:03.000Z | tests/test_urls.py | kverdecia/dj-mypypi2 | 4ca5f67901a6a41029b4e1b0eccf8d74d4958b58 | [
"MIT"
] | null | null | null | import cuid
from django.urls import reverse, resolve
from django.test import TestCase
from djmypypi2 import models
from djmypypi2 import factories
| 35.56 | 98 | 0.707537 |
8e6de0dffa62535acd94ac48b411c974051bb2fa | 6,558 | py | Python | deepst/utils/evalMultiStepAhead.py | amirkhango/DeepST | 7ba669013bbafd5f413ef50d5d76094c3a68efd6 | [
"MIT"
] | 29 | 2020-05-16T01:24:03.000Z | 2022-03-28T02:17:16.000Z | deepst/utils/evalMultiStepAhead.py | wss981086665/DeepST | 7ba669013bbafd5f413ef50d5d76094c3a68efd6 | [
"MIT"
] | null | null | null | deepst/utils/evalMultiStepAhead.py | wss981086665/DeepST | 7ba669013bbafd5f413ef50d5d76094c3a68efd6 | [
"MIT"
] | 21 | 2020-04-21T02:44:27.000Z | 2022-03-13T14:18:34.000Z | from __future__ import print_function
import sys
from deepst_flow.models.gan import generator_model
from deepst_flow.datasets import load_stdata
from deepst_flow.preprocessing import MinMaxNormalization
from deepst_flow.preprocessing import remove_incomplete_days
# import h5py
import numpy as np
from keras.opti... | 33.28934 | 116 | 0.613602 |
8e6f1d30087ea8e2e9784ed81ab2535019f36f7a | 2,263 | py | Python | google-datacatalog-tableau-connector/src/google/datacatalog_connectors/tableau/scrape/rest_api_helper.py | Parkman328/datacatalog-connectors-bi | 630de336617728713779d7224eeab140d5abaec2 | [
"Apache-2.0"
] | 27 | 2020-04-27T21:55:49.000Z | 2022-02-18T22:09:13.000Z | google-datacatalog-tableau-connector/src/google/datacatalog_connectors/tableau/scrape/rest_api_helper.py | Parkman328/datacatalog-connectors-bi | 630de336617728713779d7224eeab140d5abaec2 | [
"Apache-2.0"
] | 36 | 2020-05-01T15:26:14.000Z | 2022-03-26T00:09:19.000Z | google-datacatalog-tableau-connector/src/google/datacatalog_connectors/tableau/scrape/rest_api_helper.py | Parkman328/datacatalog-connectors-bi | 630de336617728713779d7224eeab140d5abaec2 | [
"Apache-2.0"
] | 18 | 2020-04-30T22:14:09.000Z | 2022-01-13T10:28:03.000Z | #!/usr/bin/python
#
# Copyright 2020 Google LLC
#
# 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 ag... | 31 | 74 | 0.646929 |
8e6f8dcf33c75f93ce9f79ec223c5b18d53a4296 | 5,426 | py | Python | app.py | tiesjan/htmx-flask-experiment | 4a8007406c2b7c7cba1994b10bc3831777ed2bb7 | [
"BSD-3-Clause"
] | 1 | 2022-03-07T14:43:56.000Z | 2022-03-07T14:43:56.000Z | app.py | tiesjan/htmx-flask-experiment | 4a8007406c2b7c7cba1994b10bc3831777ed2bb7 | [
"BSD-3-Clause"
] | null | null | null | app.py | tiesjan/htmx-flask-experiment | 4a8007406c2b7c7cba1994b10bc3831777ed2bb7 | [
"BSD-3-Clause"
] | null | null | null | import functools
import random
import secrets
import string
import time
from flask import Flask, abort, g, render_template, redirect, request, url_for
from flask_wtf.csrf import CSRFProtect
from werkzeug.exceptions import HTTPException
from .db import (
create_contact, delete_contact, get_contact_or_404, init_db,... | 29.813187 | 80 | 0.66937 |
8e730584ca11f30284920b2922622bfc0a12117d | 729 | py | Python | use/python/pkg_project/mugglefoo/tests/test_foo.py | MuggleWei/Hakuna_Matata | 6a3a012dc2a5942599098d94e90e9381d660500d | [
"WTFPL"
] | null | null | null | use/python/pkg_project/mugglefoo/tests/test_foo.py | MuggleWei/Hakuna_Matata | 6a3a012dc2a5942599098d94e90e9381d660500d | [
"WTFPL"
] | 30 | 2020-03-04T21:59:09.000Z | 2022-01-04T16:46:52.000Z | use/python/pkg_project/mugglefoo/tests/test_foo.py | MuggleWei/Hakuna_Matata | 6a3a012dc2a5942599098d94e90e9381d660500d | [
"WTFPL"
] | null | null | null | import unittest
from src.mugglefoo.foo import Foo
if __name__ == "__main__":
unittest.main()
| 24.3 | 54 | 0.61454 |
8e737e33e74f3276d844344a4c10171eec52b639 | 9,398 | py | Python | mpl_gui/__init__.py | matplotlib/mpl-gui | 5be9b47a6afb018e79c502e5c8c9211c3e04918b | [
"BSD-3-Clause"
] | null | null | null | mpl_gui/__init__.py | matplotlib/mpl-gui | 5be9b47a6afb018e79c502e5c8c9211c3e04918b | [
"BSD-3-Clause"
] | 2 | 2022-02-11T15:35:56.000Z | 2022-02-11T15:36:01.000Z | mpl_gui/__init__.py | matplotlib/mpl-gui | 5be9b47a6afb018e79c502e5c8c9211c3e04918b | [
"BSD-3-Clause"
] | null | null | null | """
Prototype project for new Matplotlib GUI management.
The pyplot module current serves two critical, but unrelated functions:
1. provide a state-full implicit API that rhymes / was inspired by MATLAB
2. provide the management of interaction between Matplotlib and the GUI event
loop
This project is prototype fo... | 32.86014 | 109 | 0.653437 |
8e74e2a27e4c0d194d3b3afda09bbcba3cc4b1b2 | 1,261 | py | Python | tests/integration/test_application_variables.py | qateam123/eq | 704757952323647d659c49a71975c56406ff4047 | [
"MIT"
] | null | null | null | tests/integration/test_application_variables.py | qateam123/eq | 704757952323647d659c49a71975c56406ff4047 | [
"MIT"
] | 8 | 2020-03-24T15:24:18.000Z | 2022-03-02T04:32:56.000Z | tests/integration/test_application_variables.py | qateam123/eq | 704757952323647d659c49a71975c56406ff4047 | [
"MIT"
] | null | null | null | from app import settings
from tests.integration.create_token import create_token
from tests.integration.integration_test_case import IntegrationTestCase
| 33.184211 | 114 | 0.723236 |
8e753ccf05cb23cf58607be8adc09922fb01557d | 1,125 | py | Python | configs/selfsup/simmim/simmim_swin-base_16xb128-coslr-100e_in1k-192.py | mitming/mmselfsup | 5b5cb474776291cfcb9a1140afd11b696e11fcab | [
"Apache-2.0"
] | 355 | 2021-12-16T04:32:49.000Z | 2022-03-31T22:15:23.000Z | configs/selfsup/simmim/simmim_swin-base_16xb128-coslr-100e_in1k-192.py | mitming/mmselfsup | 5b5cb474776291cfcb9a1140afd11b696e11fcab | [
"Apache-2.0"
] | 89 | 2021-12-16T05:15:42.000Z | 2022-03-31T10:57:39.000Z | configs/selfsup/simmim/simmim_swin-base_16xb128-coslr-100e_in1k-192.py | mitming/mmselfsup | 5b5cb474776291cfcb9a1140afd11b696e11fcab | [
"Apache-2.0"
] | 74 | 2021-12-16T04:40:02.000Z | 2022-03-31T08:40:32.000Z | _base_ = [
'../_base_/models/simmim_swin-base.py',
'../_base_/datasets/imagenet_simmim.py',
'../_base_/schedules/adamw_coslr-200e_in1k.py',
'../_base_/default_runtime.py',
]
# data
data = dict(samples_per_gpu=128)
# optimizer
optimizer = dict(
lr=2e-4 * 2048 / 512,
betas=(0.9, 0.999),
eps=... | 22.959184 | 66 | 0.662222 |
8e75a055e209b834657641cfacff2b7ed0b25ae6 | 58 | py | Python | ktpdriver/__init__.py | kevinmooreiii/moldriver | 65a0a9cef8971737076f81720a61aa5b607333d2 | [
"Apache-2.0"
] | null | null | null | ktpdriver/__init__.py | kevinmooreiii/moldriver | 65a0a9cef8971737076f81720a61aa5b607333d2 | [
"Apache-2.0"
] | null | null | null | ktpdriver/__init__.py | kevinmooreiii/moldriver | 65a0a9cef8971737076f81720a61aa5b607333d2 | [
"Apache-2.0"
] | null | null | null | from ktpdriver import driver
__all__ = [
'driver',
]
| 9.666667 | 28 | 0.655172 |
8e75e5f26cb8629567f69c1cfa9a9de6e016a2ad | 649 | py | Python | rl_env/Trackers/ScalarTracker.py | Florian-BACHO/RL-ENV | fa3c244f568237d12abc4bfc3344fc4e3dbc9f2c | [
"MIT"
] | null | null | null | rl_env/Trackers/ScalarTracker.py | Florian-BACHO/RL-ENV | fa3c244f568237d12abc4bfc3344fc4e3dbc9f2c | [
"MIT"
] | 1 | 2018-10-02T07:49:42.000Z | 2018-10-02T07:49:42.000Z | rl_env/Trackers/ScalarTracker.py | Florian-BACHO/RL-ENV | fa3c244f568237d12abc4bfc3344fc4e3dbc9f2c | [
"MIT"
] | null | null | null | import tensorflow as tf
| 30.904762 | 76 | 0.587057 |
8e769912ad571ddd4491f18b4879606e05b5fda5 | 1,793 | py | Python | dnac_pnp/api_endpoint_handler.py | nttde/dnac_pnp | 248dc397fc083ff13f5a0106b1cde77a9aaead55 | [
"BSD-3-Clause"
] | 5 | 2020-10-13T01:06:39.000Z | 2021-02-21T20:21:45.000Z | dnac_pnp/api_endpoint_handler.py | nttde/dnac_pnp | 248dc397fc083ff13f5a0106b1cde77a9aaead55 | [
"BSD-3-Clause"
] | null | null | null | dnac_pnp/api_endpoint_handler.py | nttde/dnac_pnp | 248dc397fc083ff13f5a0106b1cde77a9aaead55 | [
"BSD-3-Clause"
] | 1 | 2020-11-10T01:34:33.000Z | 2020-11-10T01:34:33.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""This module handles API endpoints"""
# Import builtin python libraries
import json
import logging
import os
import sys
# Import external python libraries
import click
# Import custom (local) python packages
from . import dnac_handler as dnac
# Source code meta data... | 30.913793 | 85 | 0.661461 |
8e775a9ec46afc1926576d289cbfc029d509f902 | 91 | py | Python | Django_ResumeParser/views.py | Aarif1430/Django_Crispy_Forms | 67b8ae5220cd2f3c85189f8901af1cd3eba17af8 | [
"MIT"
] | 4 | 2019-03-01T03:00:55.000Z | 2021-01-13T21:20:32.000Z | Django_ResumeParser/views.py | Aarif1430/Django_Crispy_Forms | 67b8ae5220cd2f3c85189f8901af1cd3eba17af8 | [
"MIT"
] | null | null | null | Django_ResumeParser/views.py | Aarif1430/Django_Crispy_Forms | 67b8ae5220cd2f3c85189f8901af1cd3eba17af8 | [
"MIT"
] | null | null | null | from django.shortcuts import redirect | 22.75 | 37 | 0.802198 |
8e7a1837cbc757431ff0099103a28628dcad3aa0 | 5,754 | py | Python | SC101_Assignment4/babygraphics.py | kevinfang418/sc-projects | c5b9023b137c704de3488fe2f5fe307187d957b6 | [
"MIT"
] | null | null | null | SC101_Assignment4/babygraphics.py | kevinfang418/sc-projects | c5b9023b137c704de3488fe2f5fe307187d957b6 | [
"MIT"
] | null | null | null | SC101_Assignment4/babygraphics.py | kevinfang418/sc-projects | c5b9023b137c704de3488fe2f5fe307187d957b6 | [
"MIT"
] | null | null | null | """
SC101 Baby Names Project
Adapted from Nick Parlante's Baby Names assignment by
Jerry Liao.
YOUR DESCRIPTION HERE
"""
import tkinter
import babynames
import babygraphicsgui as gui
FILENAMES = [
'data/full/baby-1900.txt', 'data/full/baby-1910.txt',
'data/full/baby-1920.txt', 'data/full/baby-1930.txt',
... | 34.45509 | 111 | 0.631213 |
8e7a68b2753d93b65ff3b67dcdc29ddb94146add | 3,341 | py | Python | model/vgg_16_minggu_malam.py | ferdyandannes/Monocular-3D-Object-Detection | 85c424ce0ab386da9b30629819d63f7ec888c9c1 | [
"MIT"
] | 4 | 2020-08-19T19:01:42.000Z | 2021-01-15T09:00:32.000Z | model/vgg_16_minggu_malam.py | ferdyandannes/Monocular-3D-Object-Detection | 85c424ce0ab386da9b30629819d63f7ec888c9c1 | [
"MIT"
] | 2 | 2020-11-28T03:38:29.000Z | 2022-01-18T01:24:45.000Z | model/vgg_16_minggu_malam.py | ferdyandannes/Monocular-3D-Object-Detection | 85c424ce0ab386da9b30629819d63f7ec888c9c1 | [
"MIT"
] | null | null | null | '''
Refs:
Very Deep Convolutional Networks for Large-Scale Image Recognition -- https://arxiv.org/abs/1409.1556
'''
import tensorflow as tf
layers = tf.keras.layers
reg = tf.keras.regularizers
from config import config as cfg
##
from keras.models import Sequential
from keras.layers.core import Flatten, Dense, Dr... | 38.848837 | 105 | 0.671955 |
8e7b08d637cce69bc4a4d0a5a4c6c80ffe9778af | 5,864 | py | Python | Space_Dodge/Main.py | Mctowell/Space-Dodge | 5130f7fb42b6f129b0aa2b237ab0ad6a6b2028b2 | [
"Unlicense"
] | null | null | null | Space_Dodge/Main.py | Mctowell/Space-Dodge | 5130f7fb42b6f129b0aa2b237ab0ad6a6b2028b2 | [
"Unlicense"
] | null | null | null | Space_Dodge/Main.py | Mctowell/Space-Dodge | 5130f7fb42b6f129b0aa2b237ab0ad6a6b2028b2 | [
"Unlicense"
] | null | null | null | import time
import pygame, random
pygame.mixer.pre_init(44100, -16, 2, 512)
pygame.init()
win=pygame.display.set_mode((700, 700))
pygame.display.set_caption('Space Dodge')
game=True
menu=True
run=False
plyr=pygame.image.load('Assets/Spaceship.png')
plyr=pygame.transform.scale(plyr, (100, 100))
asteroid1=pygame.image... | 26.776256 | 144 | 0.598397 |
8e8200ed6d5021d08655aa8f904b78250d30b5d3 | 4,621 | py | Python | src/greenbudget/conf/__init__.py | nickmflorin/django-proper-architecture-testing | da7c4019697e85f921695144375d2f548f1e98ad | [
"MIT"
] | null | null | null | src/greenbudget/conf/__init__.py | nickmflorin/django-proper-architecture-testing | da7c4019697e85f921695144375d2f548f1e98ad | [
"MIT"
] | null | null | null | src/greenbudget/conf/__init__.py | nickmflorin/django-proper-architecture-testing | da7c4019697e85f921695144375d2f548f1e98ad | [
"MIT"
] | null | null | null | import os
import csv
from dotenv import load_dotenv
import logging
import pathlib
import sys
logger = logging.getLogger('greenbudget')
config = Config()
| 31.222973 | 79 | 0.602034 |
8e88b53f62608fe65e014978d4aa6994a1935a70 | 1,019 | py | Python | enStego.py | q1jun/EncodeBase64 | a7ca5f4703b54fe512125b517d19565fb12409e3 | [
"MIT"
] | null | null | null | enStego.py | q1jun/EncodeBase64 | a7ca5f4703b54fe512125b517d19565fb12409e3 | [
"MIT"
] | null | null | null | enStego.py | q1jun/EncodeBase64 | a7ca5f4703b54fe512125b517d19565fb12409e3 | [
"MIT"
] | null | null | null | import base64
import sys
if __name__ == "__main__":
if len(sys.argv) == 4:
print("Remaining",enStego(sys.argv[1],sys.argv[2],sys.argv[3]),"bits!")
else:
print("Remaining",enStego("source.txt","stego.txt","SimpleMessage\n"),"bits!")
| 42.458333 | 106 | 0.576055 |
8e8955df8f741d9a397d8fe6b6519e05ceb7da8b | 2,437 | py | Python | Extra/rdkit_fingerprint.py | TBomberman/DeepCOP-1 | 5a496a27c71fb93768ebd9051981a76bb3d7ecfc | [
"MIT"
] | 4 | 2019-10-04T16:04:43.000Z | 2020-09-14T01:57:36.000Z | Extra/rdkit_fingerprint.py | TBomberman/DeepCOP-1 | 5a496a27c71fb93768ebd9051981a76bb3d7ecfc | [
"MIT"
] | null | null | null | Extra/rdkit_fingerprint.py | TBomberman/DeepCOP-1 | 5a496a27c71fb93768ebd9051981a76bb3d7ecfc | [
"MIT"
] | 8 | 2019-06-25T22:41:07.000Z | 2021-12-30T11:57:09.000Z | import numpy as np
from rdkit.Chem import AllChem, DataStructs
from rdkit import Chem
import csv
i = 0
finger_dimension = 2048
molecules = []
fps = []
id = []
smiles = []
names = []
import os
path = os.path.dirname(os.path.abspath(__file__))
print(path)
drug_dict = get_feature_dict('GSE92742_Broad_LINCS_pert_info.txt'... | 32.932432 | 123 | 0.627 |
8e89db1f3b5d7c76a68b0918dad3ab56b9df8420 | 1,756 | py | Python | conjur/argument_parser/_screen_options_parser.py | mbjahnoon/conjur-api-python3 | ec1f62bb1baf2bdcd34d2fb92c97db724f761020 | [
"Apache-2.0"
] | null | null | null | conjur/argument_parser/_screen_options_parser.py | mbjahnoon/conjur-api-python3 | ec1f62bb1baf2bdcd34d2fb92c97db724f761020 | [
"Apache-2.0"
] | 2 | 2022-03-09T11:56:10.000Z | 2022-03-14T14:53:15.000Z | conjur/argument_parser/_screen_options_parser.py | cyberark/cyberark-conjur-cli | 2507e8769808643d89efa7e2496cfc14f505bd7e | [
"Apache-2.0"
] | null | null | null | """
Module For the ScreenOptionsParser
"""
from conjur.version import __version__
from conjur.argument_parser.parser_utils import conjur_copyright
# pylint: disable=too-few-public-methods
| 45.025641 | 95 | 0.559226 |
8e8a3b4799aa3a03f585bb3ef581ec16b284dad4 | 3,134 | py | Python | corpora/caito.py | ishine/neural-lexicon-reader | 66f4c464a7a442812e79458759ac913ce51d1c6e | [
"MIT"
] | 4 | 2021-10-31T08:29:21.000Z | 2021-12-29T08:12:56.000Z | corpora/caito.py | shaun95/neural-lexicon-reader | 66f4c464a7a442812e79458759ac913ce51d1c6e | [
"MIT"
] | 1 | 2021-12-12T11:22:20.000Z | 2021-12-12T11:53:47.000Z | corpora/caito.py | mutiann/neural-lexicon-reader | 66f4c464a7a442812e79458759ac913ce51d1c6e | [
"MIT"
] | null | null | null | # Available at https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/
from corpora import dataset_path, transformed_path
import os, glob, shutil
import librosa
import tqdm
from collections import defaultdict
subcorpora = ['en_US', 'en_UK', 'de_DE', 'es_ES', 'it_IT', 'uk_UK', 'ru_RU', 'pl_PL', 'fr_FR']
spk_names = {... | 40.701299 | 98 | 0.574984 |