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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9ee58ab0ec9cea1c9f03478499ee877c3a33ef61 | 380 | py | Python | wlanpi_commands/show_uptime.py | nigelbowden/wlanpi-chat-bot | cedab0e83d6e33d47f66c1a3be202564f95ac408 | [
"MIT"
] | null | null | null | wlanpi_commands/show_uptime.py | nigelbowden/wlanpi-chat-bot | cedab0e83d6e33d47f66c1a3be202564f95ac408 | [
"MIT"
] | null | null | null | wlanpi_commands/show_uptime.py | nigelbowden/wlanpi-chat-bot | cedab0e83d6e33d47f66c1a3be202564f95ac408 | [
"MIT"
] | null | null | null | from .command import Command
from utils.uptime import Uptime
class ShowUptime(Command):
def __init__(self, telegram_object, conf_obj):
super().__init__(telegram_object, conf_obj)
self.command_name = "show_uptime"
def run(self, args_list):
import time
uptime_obj = Upt... | 22.352941 | 52 | 0.673684 |
9ee5974a817fbc97b68776607db89ab88004f2f9 | 1,271 | py | Python | test/lmp/script/train_tknzr/test_parse_ws_args.py | ProFatXuanAll/char-RNN | 531f101b3d1ba20bafd28ca060aafe6f583d1efb | [
"Beerware"
] | null | null | null | test/lmp/script/train_tknzr/test_parse_ws_args.py | ProFatXuanAll/char-RNN | 531f101b3d1ba20bafd28ca060aafe6f583d1efb | [
"Beerware"
] | null | null | null | test/lmp/script/train_tknzr/test_parse_ws_args.py | ProFatXuanAll/char-RNN | 531f101b3d1ba20bafd28ca060aafe6f583d1efb | [
"Beerware"
] | null | null | null | """Test parsing :py:class:`lmp.tknzr.WsTknzr` arguments.
Test target:
- :py:meth:`lmp.script.train_tknzr.parse_args`.
- :py:meth:`lmp.tknzr.WsTknzr.add_CLI_args`.
"""
import lmp.dset
import lmp.script.train_tknzr
from lmp.tknzr import WsTknzr
def test_ws_tknzr_parse_results(
exp_name: str,
is_uncased: bool,
m... | 24.921569 | 77 | 0.624705 |
9ee5ad8f67c4d0218bcca84ac083a631d43b6a5a | 3,234 | py | Python | mandala/storages/call_graph.py | amakelov/mandala | a9ec051ef730ada4eed216c62a07b033126e78d5 | [
"Apache-2.0"
] | 9 | 2022-02-22T19:24:01.000Z | 2022-03-23T04:46:41.000Z | mandala/storages/call_graph.py | amakelov/mandala | a9ec051ef730ada4eed216c62a07b033126e78d5 | [
"Apache-2.0"
] | null | null | null | mandala/storages/call_graph.py | amakelov/mandala | a9ec051ef730ada4eed216c62a07b033126e78d5 | [
"Apache-2.0"
] | null | null | null | from abc import ABC, abstractmethod
from networkx.algorithms.dag import ancestors
from ..common_imports import *
class BaseCallGraphStorage(ABC):
@abstractmethod
def add_edge(self, source:str, target:str):
raise NotImplementedError()
@abstractmethod
def delete_node(self, name:str):
... | 32.019802 | 71 | 0.625232 |
9ee60069bca758ba4f75bb16e565a0e4e4417eea | 4,288 | py | Python | functional/tests/identity/v2/test_role.py | redhat-openstack/python-openstackclient | 7dc2e1dc08b0692a3accb343c62451fb3d83f4cd | [
"Apache-2.0"
] | null | null | null | functional/tests/identity/v2/test_role.py | redhat-openstack/python-openstackclient | 7dc2e1dc08b0692a3accb343c62451fb3d83f4cd | [
"Apache-2.0"
] | null | null | null | functional/tests/identity/v2/test_role.py | redhat-openstack/python-openstackclient | 7dc2e1dc08b0692a3accb343c62451fb3d83f4cd | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | 38.630631 | 78 | 0.568797 |
9ee61b002781338bd5c23dc70fc488f6a6e0aa71 | 2,372 | py | Python | user/login/resources/login.py | dsvalenciah/ROAp | 24cbff0e719c5009ec1f1e7190924d4d9297e992 | [
"MIT"
] | 4 | 2018-04-23T00:04:01.000Z | 2018-10-28T22:56:51.000Z | user/login/resources/login.py | dsvalenciah/ROAp | 24cbff0e719c5009ec1f1e7190924d4d9297e992 | [
"MIT"
] | 23 | 2017-12-22T08:27:35.000Z | 2021-12-13T19:57:35.000Z | user/login/resources/login.py | dsvalenciah/ROAp | 24cbff0e719c5009ec1f1e7190924d4d9297e992 | [
"MIT"
] | 1 | 2020-06-03T02:07:26.000Z | 2020-06-03T02:07:26.000Z |
"""
Contains necessary Resources to works with user authentication.
"""
import json
from datetime import datetime, timedelta
import os
from utils.req_to_dict import req_to_dict
import falcon
import jwt
from passlib.hash import sha512_crypt
from utils.switch_language import SwitchLanguage
@falcon.before(SwitchLangu... | 31.626667 | 92 | 0.531197 |
9ee62f43a731e7f1235ddcf66412354c43f7de79 | 6,474 | py | Python | tests/functional/api/test_profile.py | Manuelinux/kubeh | a549f0d1c09619843290f9b78bce7668ed90853a | [
"BSD-2-Clause"
] | null | null | null | tests/functional/api/test_profile.py | Manuelinux/kubeh | a549f0d1c09619843290f9b78bce7668ed90853a | [
"BSD-2-Clause"
] | 4 | 2020-03-24T17:38:24.000Z | 2022-03-02T05:45:01.000Z | tests/functional/api/test_profile.py | Manuelinux/kubeh | a549f0d1c09619843290f9b78bce7668ed90853a | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import pytest
# String type for request/response headers and metadata in WSGI.
#
# Per PEP-3333, this is intentionally `str` under both Python 2 and 3, even
# though it has different meanings.
#
# See https://www.python.org/dev/peps/pep-3333/#a-note-on-... | 32.049505 | 85 | 0.676089 |
9ee639dc90af2ff838860add57812f99efb82c72 | 376 | py | Python | Pi_Car/config/local_config.py | snowwar/Pi-Car | d30626af8e563ca124325403ee5f2d15ea583105 | [
"MIT"
] | 5 | 2020-02-29T10:00:33.000Z | 2021-01-29T22:52:50.000Z | Pi_Car/config/local_config.py | snowwar/Pi-Car | d30626af8e563ca124325403ee5f2d15ea583105 | [
"MIT"
] | null | null | null | Pi_Car/config/local_config.py | snowwar/Pi-Car | d30626af8e563ca124325403ee5f2d15ea583105 | [
"MIT"
] | 6 | 2021-06-06T03:01:39.000Z | 2021-11-25T02:17:07.000Z | # LOCAL DEVELOPMENT CONFIG FILE
# More config options: https://flask.palletsprojects.com/en/1.1.x/config/
# Flask specific values
TESTING = True
APPLICATION_ROOT = "/"
PREFERRED_URL_SCHEME = "http"
# Custom values
# Possible logging levels:
# CRITICAL - FATAL - ERROR - WARNING - INFO - DEBUG - NOTSET
LOGGER_LEVEL = "... | 25.066667 | 73 | 0.742021 |
9ee65d6d7832934ae41e8792e0bf2dd2c64b9663 | 639 | py | Python | services/traction/acapy_wrapper/models/cred_revoked_result.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 12 | 2022-01-29T20:30:03.000Z | 2022-03-29T11:46:14.000Z | services/traction/acapy_wrapper/models/cred_revoked_result.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 38 | 2021-11-22T17:52:50.000Z | 2022-03-31T17:52:00.000Z | services/traction/acapy_wrapper/models/cred_revoked_result.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 9 | 2021-11-22T18:05:48.000Z | 2022-03-29T11:25:08.000Z | # coding: utf-8
from __future__ import annotations
from datetime import date, datetime # noqa: F401
import re # noqa: F401
from typing import Any, Dict, List, Optional # noqa: F401
from pydantic import AnyUrl, BaseModel, EmailStr, validator # noqa: F401
class CredRevokedResult(BaseModel):
"""NOTE: This cla... | 24.576923 | 96 | 0.733959 |
9ee662d6a35ad25a21628a819a6e8d18fb92eafb | 910 | py | Python | setup.py | ag-bell/dcmstack | a10e03fe1fa8408ed689f5c8bbdc7c803a780b27 | [
"MIT"
] | 58 | 2015-02-17T09:56:13.000Z | 2021-11-29T14:51:09.000Z | setup.py | ag-bell/dcmstack | a10e03fe1fa8408ed689f5c8bbdc7c803a780b27 | [
"MIT"
] | 42 | 2015-02-13T12:51:06.000Z | 2021-11-13T07:54:30.000Z | setup.py | ag-bell/dcmstack | a10e03fe1fa8408ed689f5c8bbdc7c803a780b27 | [
"MIT"
] | 35 | 2015-05-19T19:06:15.000Z | 2022-01-12T21:14:12.000Z | from setuptools import setup, find_packages
import sys, os
# Most of the relevant info is stored in this file
info_file = os.path.join('src', 'dcmstack', 'info.py')
exec(open(info_file).read())
setup(name=NAME,
description=DESCRIPTION,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
maintainer=MAIN... | 29.354839 | 67 | 0.607692 |
9ee66e7a09c7a990c790992e624222a2b8716b65 | 29,931 | py | Python | Tensorflow_Pandas_Numpy/source3.6/keras_applications/nasnet.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 31 | 2018-10-19T15:28:36.000Z | 2022-02-14T03:01:25.000Z | Tensorflow_Pandas_Numpy/source3.6/keras_applications/nasnet.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 4 | 2020-03-24T16:06:51.000Z | 2021-06-10T20:48:41.000Z | Tensorflow_Pandas_Numpy/source3.6/keras_applications/nasnet.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 10 | 2019-01-10T04:02:12.000Z | 2021-11-17T01:52:15.000Z | """NASNet-A models for Keras.
NASNet refers to Neural Architecture Search Network, a family of models
that were designed automatically by learning the model architectures
directly on the dataset of interest.
Here we consider NASNet-A, the highest performance model that was found
for the CIFAR-10 dataset, and then ext... | 39.643709 | 89 | 0.556246 |
9ee67643ab07f4af26db5fc231a61777f71b308f | 17,320 | py | Python | src/ggrc_workflows/models/cycle_task_group_object_task.py | farcry4998/ggrc-core | c469039dabb55033c1b379850feb19e8dda2e2a1 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-01-04T10:55:14.000Z | 2019-01-04T10:55:14.000Z | src/ggrc_workflows/models/cycle_task_group_object_task.py | farcry4998/ggrc-core | c469039dabb55033c1b379850feb19e8dda2e2a1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/ggrc_workflows/models/cycle_task_group_object_task.py | farcry4998/ggrc-core | c469039dabb55033c1b379850feb19e8dda2e2a1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright (C) 2018 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Module containing Cycle tasks.
"""
from logging import getLogger
from sqlalchemy import orm
import sqlalchemy as sa
from sqlalchemy.ext import hybrid
from werkzeug.exceptions import BadRequest
from ggrc... | 36.772824 | 79 | 0.617956 |
9ee678aaea86ee1d5db812b3234c278660a47f12 | 10,152 | py | Python | App.py | Rsky-20/Gestionnaire_Automobile | 9d7af6386828dab9e21b87ef74344c4a592d4da1 | [
"MIT"
] | null | null | null | App.py | Rsky-20/Gestionnaire_Automobile | 9d7af6386828dab9e21b87ef74344c4a592d4da1 | [
"MIT"
] | null | null | null | App.py | Rsky-20/Gestionnaire_Automobile | 9d7af6386828dab9e21b87ef74344c4a592d4da1 | [
"MIT"
] | null | null | null | #!/bin/python3 -*- coding: utf-8 -*-
"""
@Author : Jessy JOSE -- Pierre VAUDRY -- Enora GUILLAUME -- Luc VIERNE
IPSA Aero2 - Prim1
Release date: 07/04/2021
[other information]
Licence: MIT
Version: GUI_v6.0 / DataTool_v1.8
[Description]
Ce projet a pour but de permettre la gestion d'un parc automonile
[Class... | 32.33121 | 92 | 0.579689 |
9ee6adc3d4f25979ee7921ff3f270cf7f5bf5ad6 | 642 | py | Python | tap_apple_search_ads/request_headers.py | SageData-OOD/tap-apple-search-ads | f38de3a6d1799ec1163c8f4c6c5c1ed5f94e4bdf | [
"MIT"
] | null | null | null | tap_apple_search_ads/request_headers.py | SageData-OOD/tap-apple-search-ads | f38de3a6d1799ec1163c8f4c6c5c1ed5f94e4bdf | [
"MIT"
] | null | null | null | tap_apple_search_ads/request_headers.py | SageData-OOD/tap-apple-search-ads | f38de3a6d1799ec1163c8f4c6c5c1ed5f94e4bdf | [
"MIT"
] | null | null | null | import singer
logger = singer.get_logger()
class RequestHeaders:
def __init__(self, org_id):
self.org_id = org_id
def value(self, access_token):
if access_token["token_type"] != "Bearer":
message = "Unexpected token_type [{}], expected Bearer"
logger.error(message, ac... | 29.181818 | 74 | 0.590343 |
9ee6bf0d9e6c044e39a3d5e2a42299e01cad1670 | 18,786 | py | Python | Python/experiments/classification/adult_demographic_shift.py | sgiguere/Fairness-Gaurantees-under-Demographic-Shift | d081307d34cde75ca74e07ddbe059e8273095aee | [
"MIT"
] | 1 | 2022-03-22T20:13:02.000Z | 2022-03-22T20:13:02.000Z | Python/experiments/classification/adult_demographic_shift.py | sgiguere/Fairness-Gaurantees-under-Demographic-Shift | d081307d34cde75ca74e07ddbe059e8273095aee | [
"MIT"
] | null | null | null | Python/experiments/classification/adult_demographic_shift.py | sgiguere/Fairness-Gaurantees-under-Demographic-Shift | d081307d34cde75ca74e07ddbe059e8273095aee | [
"MIT"
] | null | null | null | import numpy as np
import warnings
from time import time
import pandas as pd
from itertools import count, product
from copy import deepcopy
from scipy import optimize
from sklearn import linear_model as LM
from sklearn.svm import SVC, LinearSVC
from sklearn.neural_network import MLPClassifier
from sklearn.exceptions i... | 40.574514 | 238 | 0.695411 |
9ee6cf82237b4603711a3a55a12a4da67fbe1703 | 910 | py | Python | vyperlogix/mail/send.py | raychorn/chrome_gui | f1fade70b61af12ee43c55c075aa9cfd32caa962 | [
"CC0-1.0"
] | 1 | 2020-09-29T01:36:33.000Z | 2020-09-29T01:36:33.000Z | vyperlogix/mail/send.py | raychorn/chrome_gui | f1fade70b61af12ee43c55c075aa9cfd32caa962 | [
"CC0-1.0"
] | null | null | null | vyperlogix/mail/send.py | raychorn/chrome_gui | f1fade70b61af12ee43c55c075aa9cfd32caa962 | [
"CC0-1.0"
] | null | null | null | import smtplib
import os
from email.MIMEMultipart import MIMEMultipart
from email.MIMEBase import MIMEBase
from email.MIMEText import MIMEText
from email.Utils import COMMASPACE, formatdate
from email import Encoders
def send_mail(send_from, send_to, subject, text, files=[], server="localhost"):
assert type(send_to)... | 29.354839 | 93 | 0.725275 |
9ee702056727a3ab6a44662746f0608553425ae1 | 2,180 | py | Python | test/sample_app/sample_app.py | bufferx/asyncmongo | c68ba72a79507e21f28c5525e1f6954cc68db4cf | [
"Apache-2.0"
] | 209 | 2015-01-01T07:43:06.000Z | 2021-11-15T09:31:35.000Z | test/sample_app/sample_app.py | bufferx/asyncmongo | c68ba72a79507e21f28c5525e1f6954cc68db4cf | [
"Apache-2.0"
] | 3 | 2015-09-16T18:29:09.000Z | 2019-04-09T13:14:18.000Z | test/sample_app/sample_app.py | bufferx/asyncmongo | c68ba72a79507e21f28c5525e1f6954cc68db4cf | [
"Apache-2.0"
] | 51 | 2015-01-06T13:46:12.000Z | 2020-11-23T17:29:55.000Z | #!/usr/bin/env python
import os
import tornado.httpserver
import tornado.ioloop
import tornado.web
import tornado.options
import logging
import simplejson as json
import asyncmongo
import pymongo.json_util
import base64
import settings
class BaseHandler(tornado.web.RequestHandler):
@property
def db(self):
... | 32.058824 | 97 | 0.657798 |
9ee7209c766b8808dde8fbd50c0c10baf0abb3b6 | 2,821 | py | Python | src/Products/ZCTextIndex/tests/testHTMLSplitter.py | icemac/Products.ZCatalog | 697719cc0f1a016ab7b874237271d3e11693e78b | [
"ZPL-2.1"
] | null | null | null | src/Products/ZCTextIndex/tests/testHTMLSplitter.py | icemac/Products.ZCatalog | 697719cc0f1a016ab7b874237271d3e11693e78b | [
"ZPL-2.1"
] | 1 | 2021-02-10T16:05:38.000Z | 2021-02-10T16:05:38.000Z | src/Products/ZCTextIndex/tests/testHTMLSplitter.py | icemac/Products.ZCatalog | 697719cc0f1a016ab7b874237271d3e11693e78b | [
"ZPL-2.1"
] | 1 | 2021-02-10T15:34:58.000Z | 2021-02-10T15:34:58.000Z | ##############################################################################
#
# Copyright (c) 2009 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOF... | 38.643836 | 78 | 0.613967 |
9ee7350ca6e18d85c618076cd4a2446dc472c945 | 5,007 | py | Python | python/gcore/minixml_test.py | schwehr/gdal-autotest2 | e153b594162f6554280212d919e645b0f01bf7e6 | [
"Apache-2.0"
] | null | null | null | python/gcore/minixml_test.py | schwehr/gdal-autotest2 | e153b594162f6554280212d919e645b0f01bf7e6 | [
"Apache-2.0"
] | 4 | 2017-01-25T18:11:31.000Z | 2017-04-04T20:51:45.000Z | python/gcore/minixml_test.py | schwehr/gdal-autotest2 | e153b594162f6554280212d919e645b0f01bf7e6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2014 Google 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
#
# Unless required ... | 35.260563 | 78 | 0.626523 |
9ee73a5a65fd3ac3ac02d81623f3043f2ac2bc4f | 566 | py | Python | manage.py | sam-karis/questioner-api | bbffe431cc94fc2eeaae29600fb546a1f483920d | [
"MIT"
] | null | null | null | manage.py | sam-karis/questioner-api | bbffe431cc94fc2eeaae29600fb546a1f483920d | [
"MIT"
] | null | null | null | manage.py | sam-karis/questioner-api | bbffe431cc94fc2eeaae29600fb546a1f483920d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'questioner.settings.production') # noqa E501
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"C... | 35.375 | 98 | 0.690813 |
9ee73b074c55f52a0c94d3da9772c6cd318058ed | 14,781 | py | Python | niapy/algorithms/modified/saba.py | chinmay3/NiaPy | b4e5c0f98063e2a9eebd8d750f0922cfca88bc55 | [
"MIT"
] | null | null | null | niapy/algorithms/modified/saba.py | chinmay3/NiaPy | b4e5c0f98063e2a9eebd8d750f0922cfca88bc55 | [
"MIT"
] | null | null | null | niapy/algorithms/modified/saba.py | chinmay3/NiaPy | b4e5c0f98063e2a9eebd8d750f0922cfca88bc55 | [
"MIT"
] | null | null | null | # encoding=utf8
import logging
import numpy as np
from niapy.algorithms.algorithm import Algorithm
logging.basicConfig()
logger = logging.getLogger('niapy.algorithms.modified')
logger.setLevel('INFO')
__all__ = ['AdaptiveBatAlgorithm', 'SelfAdaptiveBatAlgorithm']
class AdaptiveBatAlgorithm(Algorithm):
r"""Imp... | 37.231738 | 145 | 0.619444 |
9ee7910fe4f7241fda3852e33c993560b0821819 | 864 | py | Python | tests/integration/__init__.py | abbas123456/django-right-to-left | b52945ba908a29c13f8c7e20e08f9e81e1fd3e80 | [
"BSD-3-Clause"
] | 4 | 2015-09-29T18:05:35.000Z | 2020-09-18T22:47:24.000Z | tests/integration/__init__.py | abbas123456/django-right-to-left | b52945ba908a29c13f8c7e20e08f9e81e1fd3e80 | [
"BSD-3-Clause"
] | 3 | 2020-02-11T23:20:52.000Z | 2021-06-10T18:39:15.000Z | tests/integration/__init__.py | abbas123456/django-right-to-left | b52945ba908a29c13f8c7e20e08f9e81e1fd3e80 | [
"BSD-3-Clause"
] | 2 | 2018-07-31T05:55:06.000Z | 2018-12-05T13:52:55.000Z | import imp
import pkg_resources
import sys
class MockProvider(pkg_resources.NullProvider):
def __init__(self, module):
pkg_resources.NullProvider.__init__(self, module)
self.module = module
def _has(self, path):
return path in self.module._resources
def _isdir(self, path):
... | 22.153846 | 58 | 0.681713 |
9ee7d8518d6d0fc91ac5bba12b25a436b0b8fd43 | 1,296 | py | Python | setup.py | hhuuggoo/kitchensink | 1f81050fec7eace52e0b4e1b47851b649a4e4d33 | [
"BSD-3-Clause"
] | 2 | 2015-03-17T05:02:42.000Z | 2016-04-07T15:02:28.000Z | setup.py | hhuuggoo/kitchensink | 1f81050fec7eace52e0b4e1b47851b649a4e4d33 | [
"BSD-3-Clause"
] | null | null | null | setup.py | hhuuggoo/kitchensink | 1f81050fec7eace52e0b4e1b47851b649a4e4d33 | [
"BSD-3-Clause"
] | 1 | 2015-10-07T21:50:44.000Z | 2015-10-07T21:50:44.000Z | # needs to be tested
from __future__ import print_function
import sys
if len(sys.argv)>1 and sys.argv[1] == 'develop':
# Only import setuptools if we have to
import site
from os.path import dirname, abspath, join
site_packages = site.getsitepackages()[0]
fname = join(site_packages, "kitchensink.pth"... | 30.857143 | 66 | 0.587191 |
9ee7dd15f97a738ec757c17aaf5637aade9bcf4a | 2,933 | py | Python | leo/external/rope/rope/contrib/finderrors.py | frakel/leo-editor | b574118ee3b7ffe8344fa0d00dac603096117ac7 | [
"MIT"
] | null | null | null | leo/external/rope/rope/contrib/finderrors.py | frakel/leo-editor | b574118ee3b7ffe8344fa0d00dac603096117ac7 | [
"MIT"
] | null | null | null | leo/external/rope/rope/contrib/finderrors.py | frakel/leo-editor | b574118ee3b7ffe8344fa0d00dac603096117ac7 | [
"MIT"
] | null | null | null | """Finding bad name and attribute accesses
`find_errors` function can be used to find possible bad name and
attribute accesses. As an example::
errors = find_errors(project, project.get_resource('mod.py'))
for error in errors:
print '%s: %s' % (error.lineno, error.error)
prints possible errors for ``mod.p... | 31.880435 | 68 | 0.64371 |
9ee7dea0c98f2cb091c680b750323bbcfa75e225 | 853 | py | Python | advbench/lib/reporting.py | constrainedlearning/advbench | 68f9f6d77268aad45517ca84d383b996724cc976 | [
"MIT"
] | 5 | 2021-11-09T13:21:45.000Z | 2022-03-14T21:15:31.000Z | advbench/lib/reporting.py | constrainedlearning/advbench | 68f9f6d77268aad45517ca84d383b996724cc976 | [
"MIT"
] | 1 | 2022-03-03T18:56:13.000Z | 2022-03-03T18:58:38.000Z | advbench/lib/reporting.py | constrainedlearning/advbench | 68f9f6d77268aad45517ca84d383b996724cc976 | [
"MIT"
] | 3 | 2021-11-02T21:01:44.000Z | 2022-03-23T18:50:49.000Z | import os
import tqdm
import pandas as pd
def load_records(path, results_fname='results', depth=1):
assert results_fname in ['results', 'meters']
records = []
def add_record(results_path):
try:
df = pd.read_pickle(results_path)
records.append(df)
# want to ignore ... | 26.65625 | 93 | 0.626026 |
9ee7eba3f9238577dff9b77f9e7427e077f80448 | 2,203 | py | Python | stackoverflow-solutions/submission-scripts/SO_Q63257534_code_infinitely_runs_loop.py | MarkMoretto/python-examples-main | 37b8c41d2f175029f4536ca970f037ff19b4e951 | [
"MIT"
] | 1 | 2020-07-21T23:24:25.000Z | 2020-07-21T23:24:25.000Z | stackoverflow-solutions/submission-scripts/SO_Q63257534_code_infinitely_runs_loop.py | MarkMoretto/python-examples-main | 37b8c41d2f175029f4536ca970f037ff19b4e951 | [
"MIT"
] | 4 | 2021-06-29T00:38:57.000Z | 2022-01-15T00:22:15.000Z | stackoverflow-solutions/submission-scripts/SO_Q63257534_code_infinitely_runs_loop.py | MarkMoretto/python-examples-main | 37b8c41d2f175029f4536ca970f037ff19b4e951 | [
"MIT"
] | null | null | null |
"""
Purpose: Stackoverflow post
Date created: 2020-08-04
URL: https://stackoverflow.com/questions/63257534/code-infinitely-runs-loop-and-i-dont-see-why/63257658#63257534
Contributor(s):
Mark M.
"""
"""
# Original code
while gameOver == False:
print('\nWhere would you like to move?\nYou can chose top-, mid-... | 23.43617 | 125 | 0.591466 |
9ee81568ded8a61e8fe1fec673943fc4075bc087 | 2,434 | py | Python | jina/types/mixin.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | 4 | 2021-06-29T04:14:31.000Z | 2021-08-01T07:01:08.000Z | jina/types/mixin.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | 1 | 2021-12-25T09:06:13.000Z | 2021-12-25T09:06:13.000Z | jina/types/mixin.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | 1 | 2021-07-30T07:07:01.000Z | 2021-07-30T07:07:01.000Z | from typing import Dict
from google.protobuf.json_format import MessageToJson, MessageToDict
from ..helper import typename
from ..proto import jina_pb2
class ProtoTypeMixin:
"""Mixin class of `ProtoType`."""
def json(self) -> str:
"""Return the object in JSON string
:return: JSON string of... | 28.302326 | 75 | 0.607231 |
9ee816df2b8e6e7818186d06183a586c0d65b5b2 | 14,986 | py | Python | lm_eval/tasks/glue.py | yuvalkirstain/lm-evaluation-harness | bac26c85c991a310c8791213d186f713387cc0fd | [
"MIT"
] | 4 | 2021-10-14T15:55:39.000Z | 2021-12-15T14:44:08.000Z | lm_eval/tasks/glue.py | yuvalkirstain/lm-evaluation-harness | bac26c85c991a310c8791213d186f713387cc0fd | [
"MIT"
] | null | null | null | lm_eval/tasks/glue.py | yuvalkirstain/lm-evaluation-harness | bac26c85c991a310c8791213d186f713387cc0fd | [
"MIT"
] | null | null | null | import numpy as np
from lm_eval.base import rf
from ..metrics import mean, matthews_corrcoef, f1_score
from . common import HFTask, yesno
from ..utils import general_detokenize
# Single-Sentence Tasks
class CoLA(HFTask):
DATASET_PATH = "glue"
DATASET_NAME = "cola"
def has_training_docs(self):
re... | 26.904847 | 114 | 0.578006 |
9ee869c7267ce5a76c896f1b93691e6be6e631db | 830 | py | Python | utils/models.py | lim0606/pytorch-ardae-vae | 52f460a90fa5822692031ab7dcca39fa9168988e | [
"MIT"
] | 11 | 2020-06-11T03:01:46.000Z | 2021-06-17T02:59:39.000Z | utils/act_funcs.py | lim0606/pytorch-ardae-rl | 6e861d8f09ee27fa8f7b42d1eb209788c93395fa | [
"MIT"
] | 1 | 2020-06-18T00:59:24.000Z | 2020-06-19T22:55:14.000Z | utils/act_funcs.py | lim0606/pytorch-ardae-rl | 6e861d8f09ee27fa8f7b42d1eb209788c93395fa | [
"MIT"
] | null | null | null | import torch
import torch.nn.functional as F
def softplus(x):
return torch.log(torch.exp(x) + 1)
def swish(x):
'''
https://arxiv.org/abs/1710.05941
'''
return x*torch.sigmoid(x)
def get_nonlinear_func(nonlinearity_type='elu'):
if nonlinearity_type == 'relu':
return F.relu
elif no... | 25.151515 | 58 | 0.640964 |
9ee86e64bed231738d4d01e535721c9fa292824f | 210 | py | Python | abc/abc130/b/main.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | 2 | 2022-01-22T07:56:58.000Z | 2022-01-24T00:29:37.000Z | abc/abc130/b/main.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | abc/abc130/b/main.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | N, X = map(int, input().split())
L = list(map(int, input().split()))
jump = [0] * (N + 1)
ans = 1
for i, x in enumerate(L):
jump[i + 1] = jump[i] + L[i]
if jump[i + 1] <= X:
ans += 1
print(ans)
| 21 | 35 | 0.480952 |
9ee874148614864901f34431e755afd26ab2d9a7 | 450 | py | Python | june-world-codesprint/data-structures/stacks/equal-stacks/solution.py | bitnot/hackerrank-solutions | cb54af3e80f9aa188a7aadf357c5d9bcc0715249 | [
"MIT"
] | null | null | null | june-world-codesprint/data-structures/stacks/equal-stacks/solution.py | bitnot/hackerrank-solutions | cb54af3e80f9aa188a7aadf357c5d9bcc0715249 | [
"MIT"
] | null | null | null | june-world-codesprint/data-structures/stacks/equal-stacks/solution.py | bitnot/hackerrank-solutions | cb54af3e80f9aa188a7aadf357c5d9bcc0715249 | [
"MIT"
] | null | null | null | #!/bin/python3
import sys
from collections import deque
ns = [int(n_temp) for n_temp in input().strip().split(' ')]
hs = [None,None,None]
for h0 in range(0,3):
hs[h0] = deque([int(h1_temp) for h1_temp in input().strip().split(' ')])
ss = [sum(h) for h in hs]
while not(ss[0]==ss[1] and ss[1]==ss[2]):
minsum =... | 26.470588 | 76 | 0.582222 |
9ee88398abee8b2edec85a6c99332d0b32e35a24 | 3,474 | py | Python | ocr.py | albedo-geo/Cyberpuzzle | 5c1b667bf997797ce3b79bf904fbda0f9711800a | [
"MIT"
] | null | null | null | ocr.py | albedo-geo/Cyberpuzzle | 5c1b667bf997797ce3b79bf904fbda0f9711800a | [
"MIT"
] | null | null | null | ocr.py | albedo-geo/Cyberpuzzle | 5c1b667bf997797ce3b79bf904fbda0f9711800a | [
"MIT"
] | 3 | 2022-02-20T03:48:50.000Z | 2022-02-25T04:54:19.000Z | from black import main
import easyocr
from PIL import Image, ImageDraw, ImageGrab
import numpy as np
import json
from utils import print_puzzle, print_path, click_coors, WORDS
from solver import find_best_path
def save_json(obj, filename):
with open(filename, 'w', encoding='utf-8') as f:
json.d... | 28.95 | 81 | 0.54692 |
9ee897ef9e94d59407537bba19d97cefb6b20f4a | 1,822 | py | Python | server/constants.py | eliasmarkc/girder_wholetale | 7e6f117309c97c24756d5663e89d2c213a4a9978 | [
"BSD-3-Clause"
] | null | null | null | server/constants.py | eliasmarkc/girder_wholetale | 7e6f117309c97c24756d5663e89d2c213a4a9978 | [
"BSD-3-Clause"
] | null | null | null | server/constants.py | eliasmarkc/girder_wholetale | 7e6f117309c97c24756d5663e89d2c213a4a9978 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from girder import events
API_VERSION = '2.1'
CATALOG_NAME = 'WholeTale Catalog'
WORKSPACE_NAME = 'WholeTale Workspaces'
DATADIRS_NAME = 'WholeTale Data Mountpoints'
SCRIPTDIRS_NAME = 'WholeTale Narrative'
class HarvesterType:
"""
All possible data harverster i... | 24.621622 | 86 | 0.678924 |
9ee8b31febdc1ba0b3a7fc730a34f4eafb84fe72 | 718 | py | Python | cli/popper/commands/cmd_info.py | qwofford/popper | af9b3d31412192c86bf88bf02e8ad8e6dc5bbfda | [
"MIT"
] | null | null | null | cli/popper/commands/cmd_info.py | qwofford/popper | af9b3d31412192c86bf88bf02e8ad8e6dc5bbfda | [
"MIT"
] | null | null | null | cli/popper/commands/cmd_info.py | qwofford/popper | af9b3d31412192c86bf88bf02e8ad8e6dc5bbfda | [
"MIT"
] | 1 | 2019-12-07T08:41:02.000Z | 2019-12-07T08:41:02.000Z | import click
from popper import utils as pu
from popper.cli import log, pass_context
@click.argument('action', required=True)
@click.option(
'--update-cache',
help='Update the action metadata cache before looking for info.',
is_flag=True
)
@click.command('info', short_help='Show details about an action.'... | 26.592593 | 69 | 0.720056 |
9ee8e479a889985a1261d2366af88a9fae237372 | 2,233 | py | Python | spead/receiver/iperf_recv.py | SKA-ScienceDataProcessor/IDOS | c112979e4541773a464175197e597f91c9250cf6 | [
"BSD-3-Clause"
] | 1 | 2018-01-18T09:27:20.000Z | 2018-01-18T09:27:20.000Z | spead/receiver/iperf_recv.py | SKA-ScienceDataProcessor/IDOS | c112979e4541773a464175197e597f91c9250cf6 | [
"BSD-3-Clause"
] | null | null | null | spead/receiver/iperf_recv.py | SKA-ScienceDataProcessor/IDOS | c112979e4541773a464175197e597f91c9250cf6 | [
"BSD-3-Clause"
] | null | null | null | #
# ICRAR - International Centre for Radio Astronomy Research
# (c) UWA - The University of Western Australia, 2018
# Copyright by UWA (in the framework of the ICRAR)
#
# (c) Copyright 2018 CSIRO
# Australia Telescope National Facility (ATNF)
# Commonwealth Scientific and Industrial Research Organisat... | 37.847458 | 73 | 0.651142 |
9ee9047cd34f4c5b101451b2895fb6f2a8e541c8 | 1,286 | py | Python | srfnef/corrections/new_scatter/scatter_fraction/kn_formula.py | twj2417/srf | 63365cfd75199d70eea2273214a4fa580a9fdf2a | [
"Apache-2.0"
] | null | null | null | srfnef/corrections/new_scatter/scatter_fraction/kn_formula.py | twj2417/srf | 63365cfd75199d70eea2273214a4fa580a9fdf2a | [
"Apache-2.0"
] | null | null | null | srfnef/corrections/new_scatter/scatter_fraction/kn_formula.py | twj2417/srf | 63365cfd75199d70eea2273214a4fa580a9fdf2a | [
"Apache-2.0"
] | null | null | null | import math
from numba import cuda
@cuda.jit(device = True)
def fkn(A, S, B, u_map, size, shape):
"""
Differential cross section:A to S, and scattering to B
"""
cos_asb = get_scatter_cos_theta(A, S, B)
grid_S0 = int((S[0] / size[0] + 0.5) * shape[0])
grid_S1 = int((S[1] / size[1] + 0.5) * sha... | 37.823529 | 88 | 0.49689 |
9ee907fa41ce67328d11f6e65cfec7419023059e | 13,320 | py | Python | sandbox/ftpsync-0.1/rsyncmatch.py | pombredanne/sschwarzer.net-ftputil | d752244ed0ff408f003d8f84c02a9d49f0c10ade | [
"AFL-2.1"
] | 1 | 2021-08-28T08:27:11.000Z | 2021-08-28T08:27:11.000Z | sandbox/ftpsync-0.1/rsyncmatch.py | pombredanne/sschwarzer.net-ftputil | d752244ed0ff408f003d8f84c02a9d49f0c10ade | [
"AFL-2.1"
] | 1 | 2021-08-28T16:54:13.000Z | 2021-08-28T16:54:13.000Z | sandbox/ftpsync-0.1/rsyncmatch.py | pombredanne/sschwarzer.net-ftputil | d752244ed0ff408f003d8f84c02a9d49f0c10ade | [
"AFL-2.1"
] | 1 | 2021-08-28T08:29:07.000Z | 2021-08-28T08:29:07.000Z | import re
import os
import sys
import loggingclass
INCLUDE = "+"
EXCLUDE = "-"
DONE = "."
class RsyncGlob(loggingclass.LoggingClass):
"""
A class that imitates rsync(1)'s way of include/exclude patterns.
Similar to glob()/fnmatch(), but "*" doesn't match "/" - "**" does.
See man rsync(1) for the ex... | 30.410959 | 81 | 0.502628 |
9ee9163a423c3f97d71f6c2d7b60cbc0a4c6abb2 | 20,400 | py | Python | machin/frame/algorithms/trpo.py | lorenzosteccanella/machin | 9d3ce87dbed820b5019211b0690b54613084d9e4 | [
"MIT"
] | 287 | 2020-06-13T05:19:50.000Z | 2022-03-31T04:46:32.000Z | machin/frame/algorithms/trpo.py | lorenzosteccanella/machin | 9d3ce87dbed820b5019211b0690b54613084d9e4 | [
"MIT"
] | 19 | 2020-08-19T05:33:45.000Z | 2022-03-27T15:16:03.000Z | machin/frame/algorithms/trpo.py | lorenzosteccanella/machin | 9d3ce87dbed820b5019211b0690b54613084d9e4 | [
"MIT"
] | 44 | 2020-07-06T00:41:44.000Z | 2022-03-29T17:05:08.000Z | from .a2c import *
from .utils import safe_return
from machin.utils.logging import default_logger
# Implementation Reference: https://github.com/Khrylx/PyTorch-RL
# Implementation Reference: https://github.com/openai/spinningup
class TRPO(A2C):
"""
TRPO framework.
See `Trust Region Policy Optimization <h... | 39.84375 | 88 | 0.592451 |
9ee9b9623ea76e92acd5a4abfe347be2353ee404 | 31,975 | py | Python | dataloader.py | tiahflorens/ict2019 | 47d35da2d834d1b11ba33a01465da8b10ac66f0c | [
"Apache-2.0"
] | null | null | null | dataloader.py | tiahflorens/ict2019 | 47d35da2d834d1b11ba33a01465da8b10ac66f0c | [
"Apache-2.0"
] | 5 | 2021-03-19T03:28:49.000Z | 2022-03-11T23:59:03.000Z | dataloader.py | tiahflorens/ict2019 | 47d35da2d834d1b11ba33a01465da8b10ac66f0c | [
"Apache-2.0"
] | null | null | null | import os
import sys
import time
from multiprocessing import Queue as pQueue
from threading import Thread
import cv2
import numpy as np
import torch
import torch.multiprocessing as mp
import torchvision.transforms as transforms
from PIL import Image
from torch.autograd import Variable
from SPPE.src.utils.eval import ... | 39.185049 | 200 | 0.525473 |
9ee9bb2e3096bab87aa2b23a67ad773134358c0f | 5,400 | py | Python | features_generation/parcellate_features.py | GalBenZvi/BrainPrint | 8dda22f130f60bac66fe05f0f5163ee3680616f5 | [
"Apache-2.0"
] | null | null | null | features_generation/parcellate_features.py | GalBenZvi/BrainPrint | 8dda22f130f60bac66fe05f0f5163ee3680616f5 | [
"Apache-2.0"
] | 1 | 2021-08-12T07:54:37.000Z | 2021-08-12T07:54:37.000Z | features_generation/parcellate_features.py | GalBenZvi/BrainPrint | 8dda22f130f60bac66fe05f0f5163ee3680616f5 | [
"Apache-2.0"
] | 1 | 2021-08-08T11:56:19.000Z | 2021-08-08T11:56:19.000Z | from numpy import mod
import pandas as pd
import tqdm
from pathlib import Path
from utils.features import FEATURES
from utils.parcellation import parcellation_labels, parcellate_metric
def get_available_subjects(mother_dir: Path) -> list:
"""
Iterate over the main directory to find subjects that should have a... | 30.167598 | 100 | 0.609074 |
9ee9ef0acd4a45e931aacc3399362b87c18c2b1c | 1,884 | py | Python | artemis/ml/parameter_schedule.py | peteroconnor-bc/artemis | ad2871fae7d986bf10580eec27aee5b7315adad5 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | artemis/ml/parameter_schedule.py | peteroconnor-bc/artemis | ad2871fae7d986bf10580eec27aee5b7315adad5 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | artemis/ml/parameter_schedule.py | peteroconnor-bc/artemis | ad2871fae7d986bf10580eec27aee5b7315adad5 | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2019-10-16T21:21:59.000Z | 2022-03-07T22:18:44.000Z | import numpy as np
class ParameterSchedule(object):
def __init__(self, schedule, print_variable_name = None):
"""
Given a schedule for a changing parameter (e.g. learning rate) get the values for this parameter at a given time.
e.g.:
learning_rate_scheduler = ParameterSchedule... | 47.1 | 121 | 0.64862 |
9eea2d9aa88f64eb4b667b36d105cba55be4f3c3 | 5,683 | py | Python | nicos_jcns/galaxi/setups/pindiodes.py | mlz-ictrl/nicos | a6de0bc194ba42e3dc04a033713b41b5499ba8e1 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 12 | 2019-11-06T15:40:36.000Z | 2022-01-01T16:23:00.000Z | nicos_jcns/galaxi/setups/pindiodes.py | ess-dmsc/nicos | 755d61d403ff7123f804c45fc80c7ff4d762993b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 91 | 2020-08-18T09:20:26.000Z | 2022-02-01T11:07:14.000Z | nicos_jcns/galaxi/setups/pindiodes.py | mlz-ictrl/nicos | a6de0bc194ba42e3dc04a033713b41b5499ba8e1 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 6 | 2020-01-11T10:52:30.000Z | 2022-02-25T12:35:23.000Z | # -*- coding: utf-8 -*-
description = 'GALAXI PIN diodes'
group = 'optional'
display_order = 20
tango_base = 'tango://phys.galaxi.kfa-juelich.de:10000/galaxi/'
tango_analog = tango_base + 'plc_io/'
tango_digital = tango_base + 'fzjdp_digital/'
devices = dict(
pintimer = device('nicos.devices.entangle.AnalogOut... | 35.968354 | 82 | 0.606546 |
9eea308b176a7164d2842cb10781fcbebfaacc3e | 10,113 | py | Python | vault/tests/test_views.py | globocom/vault | 4909cc022476e59022a1dc55d1bbabf49873ca80 | [
"Apache-2.0"
] | 15 | 2015-03-19T13:05:06.000Z | 2021-08-13T19:17:25.000Z | vault/tests/test_views.py | globocom/vault | 4909cc022476e59022a1dc55d1bbabf49873ca80 | [
"Apache-2.0"
] | 24 | 2015-02-24T14:20:06.000Z | 2021-12-15T13:33:52.000Z | vault/tests/test_views.py | globocom/vault | 4909cc022476e59022a1dc55d1bbabf49873ca80 | [
"Apache-2.0"
] | 11 | 2016-09-12T07:54:01.000Z | 2021-10-31T20:26:43.000Z | # -*- coding: utf-8 -*-
import json
from unittest import TestCase
from unittest.mock import Mock, MagicMock, patch
from vault.tests.fakes import fake_request, UserFactory
from identity.tests.fakes import FakeToken
from vault.views import (DashboardView, SetProjectView, DeleteUserTeamView,
Ad... | 29.144092 | 96 | 0.645407 |
9eea3a7d07cff41adf50e7e9a5469ae147ba645b | 96,096 | py | Python | test_128.py | HummyMolecula/Python-Raycast | 3c6fd22c8e462b6283946594a13f38d2edb74527 | [
"MIT"
] | 31 | 2020-05-13T18:44:23.000Z | 2022-03-30T03:04:37.000Z | test_128.py | HummyMolecula/Python-Raycast | 3c6fd22c8e462b6283946594a13f38d2edb74527 | [
"MIT"
] | 4 | 2020-09-06T14:45:20.000Z | 2022-02-01T20:27:34.000Z | test_128.py | HummyMolecula/Python-Raycast | 3c6fd22c8e462b6283946594a13f38d2edb74527 | [
"MIT"
] | 15 | 2020-05-06T03:42:54.000Z | 2022-02-20T12:37:03.000Z | test_list = [
(-1.5707963267948966, (4350, 2556)),
(-1.5707963267948968, (4350, 2556)),
(-1.5707963267948968, (4350, 2556)),
(-1.5707963267948968, (4350, 2556)),
(-1.5707963267948968, (4350, 2556)),
(-1.5707963267948968, (4350, 2556)),
(-1.5707963267948968, (4350, 2556)),
(-1.5707963267948968, (4350, 2556)),
(-1.570796... | 60.437736 | 64 | 0.771978 |
9eea5d126d250e186763a4093dce09dfe69651c0 | 2,911 | py | Python | tests/models/validators/v2_1_2/jsd_3e94cb1b485b8b0e.py | nonstdout/dnacentersdk | dbbbc4baa5300aa9e5c9193f2ea71438018095f5 | [
"MIT"
] | null | null | null | tests/models/validators/v2_1_2/jsd_3e94cb1b485b8b0e.py | nonstdout/dnacentersdk | dbbbc4baa5300aa9e5c9193f2ea71438018095f5 | [
"MIT"
] | null | null | null | tests/models/validators/v2_1_2/jsd_3e94cb1b485b8b0e.py | nonstdout/dnacentersdk | dbbbc4baa5300aa9e5c9193f2ea71438018095f5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""DNA Center Create Application Set data model.
Copyright (c) 2019-2020 Cisco and/or its affiliates.
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, ... | 31.301075 | 78 | 0.558914 |
9eeaa3108f311ad7aa6c5f5c8ce2655ed42e9524 | 67,011 | py | Python | salt/modules/dockerio.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | 1 | 2020-09-16T21:31:02.000Z | 2020-09-16T21:31:02.000Z | salt/modules/dockerio.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | null | null | null | salt/modules/dockerio.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Management of Docker Containers
.. versionadded:: 2014.1.0
.. note::
The DockerIO integration is still in beta; the API is subject to change
General Notes
-------------
As we use states, we don't want to be continuously popping dockers, so we
will map each container id (or image) wi... | 29.160574 | 131 | 0.553894 |
9eeaa841dd53f6095372114a5bd6e788641715f9 | 3,235 | py | Python | test/azure/legacy/Expected/AcceptanceTests/AzureParameterGrouping/azureparametergrouping/aio/_auto_rest_parameter_grouping_test_service.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 35 | 2018-04-03T12:15:53.000Z | 2022-03-11T14:03:34.000Z | test/azure/legacy/Expected/AcceptanceTests/AzureParameterGrouping/azureparametergrouping/aio/_auto_rest_parameter_grouping_test_service.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 652 | 2017-08-28T22:44:41.000Z | 2022-03-31T21:20:31.000Z | test/azure/legacy/Expected/AcceptanceTests/AzureParameterGrouping/azureparametergrouping/aio/_auto_rest_parameter_grouping_test_service.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 29 | 2017-08-28T20:57:01.000Z | 2022-03-11T14:03:38.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 44.930556 | 99 | 0.693354 |
9eeacdcce152086e0d03f9d3dbff39ad38d743e8 | 67,882 | py | Python | google-cloud-sdk/lib/third_party/apitools/base/protorpclite/messages.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2017-11-29T18:52:27.000Z | 2017-11-29T18:52:27.000Z | google-cloud-sdk/.install/.backup/lib/third_party/apitools/base/protorpclite/messages.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | null | null | null | google-cloud-sdk/.install/.backup/lib/third_party/apitools/base/protorpclite/messages.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2020-07-25T12:09:01.000Z | 2020-07-25T12:09:01.000Z | #!/usr/bin/env python
#
# Copyright 2010 Google 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 o... | 33.688337 | 79 | 0.59817 |
9eeaeb0603c13b8f668bf31795fff1d190d59c20 | 5,937 | py | Python | tri_star/src/nodes/kinect_perception/simulated_world_perception.py | ScazLab/Frontiers_Robot_Tool_Use | ebace49e88562c18b3b967ec5360a4cec4f8fe56 | [
"MIT"
] | null | null | null | tri_star/src/nodes/kinect_perception/simulated_world_perception.py | ScazLab/Frontiers_Robot_Tool_Use | ebace49e88562c18b3b967ec5360a4cec4f8fe56 | [
"MIT"
] | null | null | null | tri_star/src/nodes/kinect_perception/simulated_world_perception.py | ScazLab/Frontiers_Robot_Tool_Use | ebace49e88562c18b3b967ec5360a4cec4f8fe56 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Software License Agreement (MIT License)
#
# Copyright (c) 2020, tri_star
# All rights reserved.
#
# 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... | 40.944828 | 111 | 0.706586 |
9eeafb0e1b9bc551657dac9a556dc242767798bd | 4,680 | py | Python | training/utils/planning_helper.py | akapne01/gym_tower_of_london | 4c4597c8dba0e23ef649713997bc5a2f99d53175 | [
"CC-BY-2.0"
] | null | null | null | training/utils/planning_helper.py | akapne01/gym_tower_of_london | 4c4597c8dba0e23ef649713997bc5a2f99d53175 | [
"CC-BY-2.0"
] | 2 | 2020-08-25T08:36:38.000Z | 2020-08-25T08:36:58.000Z | training/utils/planning_helper.py | akapne01/gym_tower_of_london | 4c4597c8dba0e23ef649713997bc5a2f99d53175 | [
"CC-BY-2.0"
] | null | null | null | from typing import List
import numpy as np
from networkx.tests.test_convert_pandas import pd
from envs.custom_tol_env_dir import ToLTaskEnv
from envs.custom_tol_env_dir.tol_2d.mapping import int_to_state, state_to_int
from envs.custom_tol_env_dir.tol_2d.state import TolState
FILL_VALUE = -100
def init_... | 31.409396 | 78 | 0.575427 |
9eeb0d2f0ed3a9387ae42f776258d5bf5a62a14b | 7,449 | py | Python | rlkit/misc/hyperparameter.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2020-10-23T14:40:09.000Z | 2020-10-23T14:40:09.000Z | rlkit/misc/hyperparameter.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | rlkit/misc/hyperparameter.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2021-05-27T20:38:45.000Z | 2021-05-27T20:38:45.000Z | """
Custom hyperparameter functions.
"""
import abc
import copy
import math
import random
import itertools
from typing import List
import rlkit.pythonplusplus as ppp
import collections.abc
class Hyperparameter(metaclass=abc.ABCMeta):
def __init__(self, name):
self._name = name
@property
def name(... | 31.0375 | 86 | 0.629883 |
9eeb10b91d7f815b1d3673c68338e00c18e8d491 | 5,938 | py | Python | BGWpy/QE/wfntask.py | jonahhaber/BGWpy | 03ae0df2c7ddad833f679a69908abcb7b4adf9a2 | [
"BSD-3-Clause-LBNL"
] | null | null | null | BGWpy/QE/wfntask.py | jonahhaber/BGWpy | 03ae0df2c7ddad833f679a69908abcb7b4adf9a2 | [
"BSD-3-Clause-LBNL"
] | null | null | null | BGWpy/QE/wfntask.py | jonahhaber/BGWpy | 03ae0df2c7ddad833f679a69908abcb7b4adf9a2 | [
"BSD-3-Clause-LBNL"
] | null | null | null | from __future__ import print_function
import os
from .qetask import QeTask
from .constructor import get_bands_input
# Public
__all__ = ['QeWfnTask']
class QeWfnTask(QeTask):
"""Wavefunctions calculation."""
_TASK_NAME = 'Wfn'
_input_fname = 'wfn.in'
_output_fname = 'wfn.out'
def __init__... | 34.523256 | 84 | 0.618053 |
9eeb2fae4db252c2d587f10f30d48efb13b9e9d8 | 386 | py | Python | chapter12/06 Aribitrary Arguments.py | munnep/begin_to_code_with_python | 3ef14d90785526b6b26d262a7627eee73791d7d0 | [
"MIT"
] | null | null | null | chapter12/06 Aribitrary Arguments.py | munnep/begin_to_code_with_python | 3ef14d90785526b6b26d262a7627eee73791d7d0 | [
"MIT"
] | null | null | null | chapter12/06 Aribitrary Arguments.py | munnep/begin_to_code_with_python | 3ef14d90785526b6b26d262a7627eee73791d7d0 | [
"MIT"
] | null | null | null | # EG12-06 Aribitrary Arguments
def add_function(*values):
total = 0
for value in values:
total = total + value
return total
print(add_function())
print(add_function(1))
print(add_function(1, 2))
print(add_function(1, 2, 3))
print(add_function(1, 2, 3, 4))
print(add_function(1, 2, 3, 4, 5))
n... | 21.444444 | 35 | 0.65285 |
9eeb51464f765e4bca5c42829a4e6b34bf0a2f15 | 4,128 | py | Python | python/jittor/test/test_mpi_batchnorm.py | shiminhu/jittor | 8aa5974fef8106d3ddea8209fb44b33cec120a09 | [
"Apache-2.0"
] | 5 | 2020-08-09T02:27:58.000Z | 2021-01-13T16:04:32.000Z | python/jittor/test/test_mpi_batchnorm.py | Zhengjun-Du/jittor | 8aa5974fef8106d3ddea8209fb44b33cec120a09 | [
"Apache-2.0"
] | null | null | null | python/jittor/test/test_mpi_batchnorm.py | Zhengjun-Du/jittor | 8aa5974fef8106d3ddea8209fb44b33cec120a09 | [
"Apache-2.0"
] | null | null | null | # ***************************************************************
# Copyright (c) 2020 Jittor. Authors:
# Guowei Yang <471184555@qq.com>
# Dun Liang <randonlang@gmail.com>.
# All Rights Reserved.
# This file is subject to the terms and conditions defined in
# file 'LICENSE.txt', which is part of this source c... | 37.87156 | 135 | 0.606589 |
9eeb6fcae7cd41c98d2c7f81bfc69b3021db5875 | 854 | py | Python | openstack-dashboard/openstack_dashboard/dashboards/project/pertino/panel.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | 1 | 2019-09-11T11:56:19.000Z | 2019-09-11T11:56:19.000Z | tools/dockerize/webportal/usr/share/openstack-dashboard/openstack_dashboard/dashboards/project/pertino/panel.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | tools/dockerize/webportal/usr/share/openstack-dashboard/openstack_dashboard/dashboards/project/pertino/panel.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | # Copyright 2012 Nebula, 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 agree... | 30.5 | 78 | 0.740047 |
9eeb7a3f0fd1c0130dca703e079d05cd4adfb036 | 2,404 | py | Python | levenshtein.py | HSalaberri/levenshtein-distance | 2589e5876b1f14934e011a82debbe95615ed4c71 | [
"Apache-2.0"
] | null | null | null | levenshtein.py | HSalaberri/levenshtein-distance | 2589e5876b1f14934e011a82debbe95615ed4c71 | [
"Apache-2.0"
] | null | null | null | levenshtein.py | HSalaberri/levenshtein-distance | 2589e5876b1f14934e011a82debbe95615ed4c71 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
usage: levenshtein [-h] -i INPUT_DATA -n NAME -d DISTANCE
Calculate levenshtein distance
optional arguments:
-h, --help show this help message and exit
-i INPUT_DATA, --input INPUT_DATA
Path to file containing data [.csv]
-n SEARCH_NAME, --name NAME... | 26.711111 | 79 | 0.542429 |
9eeb9c7cb5aebb42b45fe3c81034cdebddad5977 | 5,940 | py | Python | advanced.py | diacaf/image-enhance-keras | 118859a95e3c053ec0084332db841016bc513a0c | [
"MIT"
] | 9 | 2018-09-27T17:36:04.000Z | 2020-12-19T11:39:43.000Z | advanced.py | diacaf/image-enhance-keras | 118859a95e3c053ec0084332db841016bc513a0c | [
"MIT"
] | 1 | 2018-09-27T18:42:51.000Z | 2018-09-27T19:45:40.000Z | advanced.py | diacaf/image-enhance-keras | 118859a95e3c053ec0084332db841016bc513a0c | [
"MIT"
] | 6 | 2018-10-14T16:37:23.000Z | 2020-12-19T11:39:46.000Z | import itertools
import tensorflow as tf
from keras.layers import Lambda
from keras.callbacks import Callback
from keras.engine.topology import Layer
from keras import backend as K
''' Callbacks '''
class HistoryCheckpoint(Callback):
'''Callback that records events
into a `History` object.
It then... | 29.849246 | 128 | 0.587037 |
9eebd736abb9260c21a43067f22007a77bd73209 | 344 | py | Python | deeptech/model/models/__init__.py | penguinmenac3/deeptech | 0c7fb170d62f193dbbb2018f7b8d42f713178bb8 | [
"MIT"
] | 1 | 2020-10-10T10:11:54.000Z | 2020-10-10T10:11:54.000Z | deeptech/model/models/__init__.py | penguinmenac3/deeptech | 0c7fb170d62f193dbbb2018f7b8d42f713178bb8 | [
"MIT"
] | null | null | null | deeptech/model/models/__init__.py | penguinmenac3/deeptech | 0c7fb170d62f193dbbb2018f7b8d42f713178bb8 | [
"MIT"
] | null | null | null | import os
from deeptech.model.models.imagenet import ImagenetModel
from deeptech.model.module_registry import add_lib_from_json
model_lib_folder = os.sep.join(os.path.abspath(__file__).split(os.sep)[:-1])
add_lib_from_json(os.path.join(model_lib_folder, "fasterrcnn.jsonc"))
add_lib_from_json(os.path.join(model_lib_fol... | 43 | 76 | 0.825581 |
9eebe36881b48dde861aa71bde1efa532aba9d09 | 7,963 | py | Python | drizzlepac/hlautils/processing_utils.py | jhunkeler/drizzlepac | 09ca153b8e4f4e03dd155c61243d722e1c40caee | [
"BSD-3-Clause"
] | null | null | null | drizzlepac/hlautils/processing_utils.py | jhunkeler/drizzlepac | 09ca153b8e4f4e03dd155c61243d722e1c40caee | [
"BSD-3-Clause"
] | null | null | null | drizzlepac/hlautils/processing_utils.py | jhunkeler/drizzlepac | 09ca153b8e4f4e03dd155c61243d722e1c40caee | [
"BSD-3-Clause"
] | null | null | null | """Utilities to support creation of Hubble Advanced Pipeline(HAP) products.
"""
import sys
import os
import shutil
import numpy as np
from astropy.io import fits as fits
from astropy.io.fits import Column
from astropy.time import Time
from stsci.tools import logutil
from stsci.tools.fileutil import countExtn
from st... | 34.772926 | 110 | 0.643727 |
9eec2517d5312bea3fbf3dd499d876cf646d6b63 | 349 | py | Python | walk.py | holabrotato/sort-jav-osx | 3ab7cd634f444069a5cf89601c5bec8cd1636d90 | [
"MIT"
] | 1 | 2021-01-25T12:08:10.000Z | 2021-01-25T12:08:10.000Z | walk.py | holabrotato/sort-jav-osx | 3ab7cd634f444069a5cf89601c5bec8cd1636d90 | [
"MIT"
] | null | null | null | walk.py | holabrotato/sort-jav-osx | 3ab7cd634f444069a5cf89601c5bec8cd1636d90 | [
"MIT"
] | null | null | null | # app.py
import os
dirName = '/Volumes/WD/JAV'
listOfFiles = list()
for (dirpath, dirnames, filenames) in os.walk(dirName):
listOfFiles += [os.path.join(dirpath, file) for file in filenames]
for elem in listOfFiles:
f_name, f_ext = os.path.splitext(elem)
if (f_ext != "jpg" and f_ext != "srt" and f_ext !=... | 26.846154 | 70 | 0.661891 |
9eec325333b76899ac6a703f2fea900befda51dd | 611 | py | Python | LC/469.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | 2 | 2018-02-24T17:20:02.000Z | 2018-02-24T17:25:43.000Z | LC/469.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | null | null | null | LC/469.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | null | null | null | class Solution(object):
def isConvex(self, points):
"""
:type points: List[List[int]]
:rtype: bool
"""
d=0 # direction
points.append(points[0])
points.append(points[1])
for i in range(len(points)-2):
p1=points[i]
p2=points[i+1]
... | 29.095238 | 40 | 0.427169 |
9eec4637634644fd901f7961ccf4b4c30903ed35 | 1,362 | py | Python | py/cidoc_crm_types/entities/e2_temporal_entity.py | minorg/cidoc-crm-types | 9018bdbf0658e4d28a87bc94543e467be45d8aa5 | [
"Apache-2.0"
] | null | null | null | py/cidoc_crm_types/entities/e2_temporal_entity.py | minorg/cidoc-crm-types | 9018bdbf0658e4d28a87bc94543e467be45d8aa5 | [
"Apache-2.0"
] | null | null | null | py/cidoc_crm_types/entities/e2_temporal_entity.py | minorg/cidoc-crm-types | 9018bdbf0658e4d28a87bc94543e467be45d8aa5 | [
"Apache-2.0"
] | null | null | null | from .e1_crm_entity import E1CRMEntity
from dataclasses import dataclass
@dataclass
class E2TemporalEntity(E1CRMEntity):
"""
Scope note:
This class comprises all phenomena, such as the instances of E4 Periods and E5 Events, which happen over a limited extent in time. This extent in time must be contiguous, i.e., ... | 54.48 | 496 | 0.777533 |
9eec8d102839e2c1ef7432c05c74322ef66cdfb0 | 870 | py | Python | src/zeit/content/cp/browser/blocks/tests/test_doctest.py | ZeitOnline/zeit.content.cp | ee1dbc34e385e47a5c52eabbe01cdae2df09bd76 | [
"BSD-3-Clause"
] | null | null | null | src/zeit/content/cp/browser/blocks/tests/test_doctest.py | ZeitOnline/zeit.content.cp | ee1dbc34e385e47a5c52eabbe01cdae2df09bd76 | [
"BSD-3-Clause"
] | 11 | 2015-04-16T14:15:08.000Z | 2019-02-01T13:23:17.000Z | src/zeit/content/cp/browser/blocks/tests/test_doctest.py | ZeitOnline/zeit.content.cp | ee1dbc34e385e47a5c52eabbe01cdae2df09bd76 | [
"BSD-3-Clause"
] | 1 | 2015-12-03T14:58:26.000Z | 2015-12-03T14:58:26.000Z | import unittest
import zeit.cms.repository.interfaces
import zeit.cms.testcontenttype.testcontenttype
import zeit.cms.testing
import zeit.content.cp.testing
import zope.component
def create_content(root):
with zeit.cms.testing.site(root):
repository = zope.component.getUtility(
zeit.cms.reposi... | 28.064516 | 77 | 0.655172 |
9eeca35020df513c7effbd890f8bfdf81d853a1f | 1,889 | py | Python | pipeline/test_cluster_runner.py | streamsets/datacollector-tests-external | 6f255b5e7496deeef333b57a5e9df4911ba3ef00 | [
"Apache-2.0"
] | 1 | 2020-04-14T03:01:51.000Z | 2020-04-14T03:01:51.000Z | pipeline/test_cluster_runner.py | streamsets/datacollector-tests-external | 6f255b5e7496deeef333b57a5e9df4911ba3ef00 | [
"Apache-2.0"
] | null | null | null | pipeline/test_cluster_runner.py | streamsets/datacollector-tests-external | 6f255b5e7496deeef333b57a5e9df4911ba3ef00 | [
"Apache-2.0"
] | 1 | 2019-09-14T08:30:23.000Z | 2019-09-14T08:30:23.000Z | # Copyright 2018 StreamSets 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 in writi... | 34.981481 | 97 | 0.755956 |
9eece324607d1fd01df48e0346690eaf429d74b6 | 29,862 | py | Python | openstack-dashboard/openstack_dashboard/dashboards/project/instances/tables.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | 1 | 2019-09-11T11:56:19.000Z | 2019-09-11T11:56:19.000Z | openstack-dashboard/openstack_dashboard/dashboards/project/instances/tables.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | openstack-dashboard/openstack_dashboard/dashboards/project/instances/tables.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2012 Nebula, 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
#
# ... | 35.935018 | 79 | 0.622966 |
9eecf37186aeefda35188ede675f7abbbd5d5519 | 306 | py | Python | server/config/production.py | liaojiacan/dyanmic-host | 0b47d8fa5b596e3e3d82d75992a00a97a9d4f457 | [
"MIT"
] | 4 | 2018-02-11T09:53:22.000Z | 2022-03-06T06:35:41.000Z | server/config/production.py | liaojiacan/dyanmic-host | 0b47d8fa5b596e3e3d82d75992a00a97a9d4f457 | [
"MIT"
] | null | null | null | server/config/production.py | liaojiacan/dyanmic-host | 0b47d8fa5b596e3e3d82d75992a00a97a9d4f457 | [
"MIT"
] | 1 | 2020-12-11T07:03:38.000Z | 2020-12-11T07:03:38.000Z | import os
basedir = os.path.abspath(os.path.dirname(__file__))
db_path = os.path.join(basedir, '../data.sqlite')
DEBUG = False
SECRET_KEY = 'top-secret!'
SQLALCHEMY_TRACK_MODIFICATIONS = False
SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL') or \
'sqlite:///' + db_path
| 27.818182 | 61 | 0.683007 |
9eed306eb1fcaf97f5cb2dcb6e89f3093d482632 | 1,488 | py | Python | notebook-samples/cfpb_analysis_working.py | MarkMoretto/python-examples-main | 37b8c41d2f175029f4536ca970f037ff19b4e951 | [
"MIT"
] | 1 | 2020-07-21T23:24:25.000Z | 2020-07-21T23:24:25.000Z | notebook-samples/cfpb_analysis_working.py | MarkMoretto/python-examples-main | 37b8c41d2f175029f4536ca970f037ff19b4e951 | [
"MIT"
] | 4 | 2021-06-29T00:38:57.000Z | 2022-01-15T00:22:15.000Z | notebook-samples/cfpb_analysis_working.py | MarkMoretto/python-examples-main | 37b8c41d2f175029f4536ca970f037ff19b4e951 | [
"MIT"
] | null | null | null |
"""
Purpose: CFPB Analysis
Date created: 2020-06-16
Contributor(s):
Mark M.
"""
import requests
import pandas as pd
hmda_base = "https://api.consumerfinance.gov"
complaints_base = "https://www.consumerfinance.gov/data-research/consumer-complaints/search/api/v1/1"
complaints_states_base = f"{complaints_base}/ge... | 20.957746 | 116 | 0.656586 |
9eed376c7cb3163a487127a0bc7313426d5f877b | 3,116 | py | Python | pkg/deploy/dcanvas/canvas_line.py | ToraNova/rapidflask | f42354b296659dac5be904d7bb68076b9458f79a | [
"MIT"
] | null | null | null | pkg/deploy/dcanvas/canvas_line.py | ToraNova/rapidflask | f42354b296659dac5be904d7bb68076b9458f79a | [
"MIT"
] | null | null | null | pkg/deploy/dcanvas/canvas_line.py | ToraNova/rapidflask | f42354b296659dac5be904d7bb68076b9458f79a | [
"MIT"
] | null | null | null | #--------------------------------------------------
# canvas_line.py
# This is a generic class for a canvas paint line
# A line consist of two points, start and end,
# This is for a straight line, with WIDTH and COLOR,
# triggering color change
# primarily used for html5 canvas context drawing
# introduced in u3
# Tora... | 42.108108 | 106 | 0.576701 |
9eed3a1cfcb8d5215c1fc1d9b909544d3b9ea744 | 22,304 | py | Python | pytest_cases/fixture_core1_unions.py | saroad2/python-pytest-cases | d8cb440d1f00d7d341666d0f825c6aed3d9b8ee7 | [
"BSD-3-Clause"
] | null | null | null | pytest_cases/fixture_core1_unions.py | saroad2/python-pytest-cases | d8cb440d1f00d7d341666d0f825c6aed3d9b8ee7 | [
"BSD-3-Clause"
] | null | null | null | pytest_cases/fixture_core1_unions.py | saroad2/python-pytest-cases | d8cb440d1f00d7d341666d0f825c6aed3d9b8ee7 | [
"BSD-3-Clause"
] | null | null | null | # Authors: Sylvain MARIE <sylvain.marie@se.com>
# + All contributors to <https://github.com/smarie/python-pytest-cases>
#
# License: 3-clause BSD, <https://github.com/smarie/python-pytest-cases/blob/master/LICENSE>
from __future__ import division
from inspect import isgeneratorfunction
from warnings import wa... | 43.733333 | 119 | 0.662572 |
9eed40bafe8e6b5f2bb89c019adccc71431c31f3 | 5,465 | py | Python | sacla/scripts/backups/old_scripts/sacla2_Chip_Collect1_v2.py | beamline-i24/DiamondChips | 02fb58a95ad2c1712c41b641eb5f197d688c54c3 | [
"Apache-2.0"
] | null | null | null | sacla/scripts/backups/old_scripts/sacla2_Chip_Collect1_v2.py | beamline-i24/DiamondChips | 02fb58a95ad2c1712c41b641eb5f197d688c54c3 | [
"Apache-2.0"
] | null | null | null | sacla/scripts/backups/old_scripts/sacla2_Chip_Collect1_v2.py | beamline-i24/DiamondChips | 02fb58a95ad2c1712c41b641eb5f197d688c54c3 | [
"Apache-2.0"
] | null | null | null | import pv
import os, re, sys
import time, math, string
from time import sleep
from ca import caput, caget
from sacla2_Chip_StartUp1 import get_xy
from sacla2_Chip_StartUp1 import make_path_dict
from sacla2_Chip_StartUp1 import scrape_dcparameters
###############################################
# OLD Chip_Collect from... | 35.718954 | 112 | 0.595425 |
9eed598a1c3d3a927dd4293678c9b2362c049240 | 27 | py | Python | btd6_memory_info/generated/UnityEngine/ResourceManagement/ResourceManager/resource_manager.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | btd6_memory_info/generated/UnityEngine/ResourceManagement/ResourceManager/resource_manager.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | btd6_memory_info/generated/UnityEngine/ResourceManagement/ResourceManager/resource_manager.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | class ResourceManager: pass | 27 | 27 | 0.888889 |
9eed652396a8e00e72c823d843ed0734cdae0ad9 | 865 | py | Python | test/test_connector.py | Cosmo-Tech/cosmotech-api-python-client | 49ef58784605da8dd6b290cab15b363671991d8e | [
"MIT"
] | null | null | null | test/test_connector.py | Cosmo-Tech/cosmotech-api-python-client | 49ef58784605da8dd6b290cab15b363671991d8e | [
"MIT"
] | null | null | null | test/test_connector.py | Cosmo-Tech/cosmotech-api-python-client | 49ef58784605da8dd6b290cab15b363671991d8e | [
"MIT"
] | null | null | null | """
Cosmo Tech Plaform API
Cosmo Tech Platform API # noqa: E501
The version of the OpenAPI document: 0.0.11-SNAPSHOT
Contact: platform@cosmotech.com
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import cosmotech_api
from cosmotech_api.model.connector_parameter_gro... | 22.179487 | 81 | 0.704046 |
9eed9158263bbd6b4d2553161ff1ba4f76a0d390 | 1,890 | py | Python | src/rubrix/sdk/models/text2_text_search_aggregations_status.py | sakares/rubrix | 791ffb29815b5d24f2bbbb0fa422f85f8b30098f | [
"Apache-2.0"
] | null | null | null | src/rubrix/sdk/models/text2_text_search_aggregations_status.py | sakares/rubrix | 791ffb29815b5d24f2bbbb0fa422f85f8b30098f | [
"Apache-2.0"
] | null | null | null | src/rubrix/sdk/models/text2_text_search_aggregations_status.py | sakares/rubrix | 791ffb29815b5d24f2bbbb0fa422f85f8b30098f | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021-present, the Recognai S.L. team.
#
# 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 ... | 31.5 | 77 | 0.701587 |
9eed96011bb5d80cd15dbc26c7470d02870acb56 | 3,581 | py | Python | pytrack/measmodels.py | petersvenningsson/radar-Bayesian-human-motion | 728db0f39c107faccf9d711670177aac74456e3f | [
"MIT"
] | 1 | 2022-02-01T20:42:24.000Z | 2022-02-01T20:42:24.000Z | pytrack/measmodels.py | petersvenningsson/radar-Bayesian-human-motion | 728db0f39c107faccf9d711670177aac74456e3f | [
"MIT"
] | null | null | null | pytrack/measmodels.py | petersvenningsson/radar-Bayesian-human-motion | 728db0f39c107faccf9d711670177aac74456e3f | [
"MIT"
] | null | null | null | import numpy as np
import sympy as sym
class PositionMeasurmentModel():
""" Sensor measures position state variables.
It is assumed that x[0] -> position in x
x[1] -> position in y
"""
dim = 2
def __init__(self, sensor_bias, sigma_position, state_dim):
""" Input:
... | 39.351648 | 185 | 0.579447 |
9eedd0231bddef7e51fd13fc4e651e36d5b6c2be | 7,466 | py | Python | build/lib/RiboGraphViz/RG_utils.py | nromari/OpenVaccine_COVID19 | fb17ff422247f831b9443437cd6330472f87f2be | [
"MIT"
] | null | null | null | build/lib/RiboGraphViz/RG_utils.py | nromari/OpenVaccine_COVID19 | fb17ff422247f831b9443437cd6330472f87f2be | [
"MIT"
] | null | null | null | build/lib/RiboGraphViz/RG_utils.py | nromari/OpenVaccine_COVID19 | fb17ff422247f831b9443437cd6330472f87f2be | [
"MIT"
] | null | null | null | from collections import Counter
import numpy as np
from copy import copy
#Copied from ToyFold 1D utils (Rhiju Das Matlab code originally)
def find_all(s, ch):
if isinstance(ch, list):
tmp_list=[]
for c in ch:
tmp_list.extend([i for i, ltr in enumerate(s) if ltr == c])
return tm... | 30.85124 | 105 | 0.530806 |
9eeddb23fa5cd77ee0be8b3b02c0aaa92c6cf44b | 7,356 | py | Python | tex/encoding.py | drjbarker/blib | d5726d55a58a680152aa69d5b7fd2639d9480e16 | [
"MIT"
] | 6 | 2021-02-25T15:00:59.000Z | 2022-03-09T09:19:25.000Z | tex/encoding.py | drjbarker/blib | d5726d55a58a680152aa69d5b7fd2639d9480e16 | [
"MIT"
] | 6 | 2021-03-30T14:52:55.000Z | 2022-01-20T21:36:59.000Z | tex/encoding.py | drjbarker/blib | d5726d55a58a680152aa69d5b7fd2639d9480e16 | [
"MIT"
] | 2 | 2021-02-25T18:18:14.000Z | 2021-11-09T12:13:12.000Z | import re
import unicodedata
def is_ascii(string):
"""
Returns true if the string only contains ASCII characters,
False otherwise.
"""
try:
string.encode('ascii')
except UnicodeEncodeError:
return False
return True
#TODO handle specials such as < > and degree (see https:/... | 57.023256 | 120 | 0.590266 |
9eede2e4a23d3dadd8287c8256482d657eafee80 | 1,079 | py | Python | indico/modules/rb/controllers/backend/common.py | javfg/indico | 2634756ba1e9caf6dd8fc9afc3f47291fda5816d | [
"MIT"
] | 1 | 2021-12-27T17:51:27.000Z | 2021-12-27T17:51:27.000Z | indico/modules/rb/controllers/backend/common.py | javfg/indico | 2634756ba1e9caf6dd8fc9afc3f47291fda5816d | [
"MIT"
] | null | null | null | indico/modules/rb/controllers/backend/common.py | javfg/indico | 2634756ba1e9caf6dd8fc9afc3f47291fda5816d | [
"MIT"
] | null | null | null | # This file is part of Indico.
# Copyright (C) 2002 - 2021 CERN
#
# Indico is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see the
# LICENSE file for more details.
from marshmallow_enum import EnumField
from webargs import fields
from indico.modules.rb.models.reservati... | 33.71875 | 65 | 0.671918 |
9eee066c76f89948c555c47e3b8c84cf58ce9ecd | 5,549 | py | Python | ExtentionPackages/paramiko/kex_group1.py | hongsofwing/PyQYT-master | 9a112d9adbf9885a8b7535b7ef7759b60a0f9a29 | [
"CNRI-Python"
] | 2 | 2018-12-11T16:35:20.000Z | 2019-01-23T16:42:17.000Z | paramikossh/paramiko/kex_group1.py | splunk-soar-connectors/osxcollector | 7b0d6fd619008e89b39067de4df95465626505e9 | [
"Apache-2.0"
] | 1 | 2018-12-28T21:11:50.000Z | 2018-12-28T21:11:50.000Z | paramikossh/paramiko/kex_group1.py | splunk-soar-connectors/osxcollector | 7b0d6fd619008e89b39067de4df95465626505e9 | [
"Apache-2.0"
] | 3 | 2018-01-21T17:53:17.000Z | 2021-09-08T10:22:05.000Z | # Copyright (C) 2003-2007 Robey Pointer <robeypointer@gmail.com>
#
# This file is part of paramiko.
#
# Paramiko is free software; you can redistribute it and/or modify it under the
# terms of the GNU Lesser General Public License as published by the Free
# Software Foundation; either version 2.1 of the License, or (a... | 39.35461 | 266 | 0.653271 |
9eee26ac30b76258bc35166cfb14dd24e72bac34 | 1,628 | py | Python | savu/test/travis/plugin_tests/fitter_tests/simple_fit_test.py | elainehoml/Savu | e4772704606f71d6803d832084e10faa585e7358 | [
"Apache-2.0"
] | 39 | 2015-03-30T14:03:42.000Z | 2022-03-16T16:50:33.000Z | savu/test/travis/plugin_tests/fitter_tests/simple_fit_test.py | elainehoml/Savu | e4772704606f71d6803d832084e10faa585e7358 | [
"Apache-2.0"
] | 670 | 2015-02-11T11:08:09.000Z | 2022-03-21T09:27:57.000Z | savu/test/travis/plugin_tests/fitter_tests/simple_fit_test.py | elainehoml/Savu | e4772704606f71d6803d832084e10faa585e7358 | [
"Apache-2.0"
] | 54 | 2015-02-13T14:09:52.000Z | 2022-01-24T13:57:09.000Z | # Copyright 2014 Diamond Light Source Ltd.
#
# 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 t... | 35.391304 | 84 | 0.711302 |
9eee93eb2669249777782d5f05239f2aa677c5f8 | 2,062 | py | Python | alembic/versions/1d1511b77417_try_this.py | ppold/lambtastic | 29d96f0f111a950a6ecd7af1cdc172addd64de04 | [
"Unlicense"
] | null | null | null | alembic/versions/1d1511b77417_try_this.py | ppold/lambtastic | 29d96f0f111a950a6ecd7af1cdc172addd64de04 | [
"Unlicense"
] | 1 | 2021-06-01T21:53:04.000Z | 2021-06-01T21:53:04.000Z | alembic/versions/1d1511b77417_try_this.py | ppold/lambtastic | 29d96f0f111a950a6ecd7af1cdc172addd64de04 | [
"Unlicense"
] | null | null | null | """Try this
Revision ID: 1d1511b77417
Revises: None
Create Date: 2013-09-22 05:41:17.949989
"""
# revision identifiers, used by Alembic.
revision = '1d1511b77417'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please adjust! ###
... | 33.258065 | 64 | 0.661979 |
9eeeb207797969649e59da0dd3d256ee9f20cd1b | 3,565 | py | Python | tensor2tensor/data_generators/qnli.py | shankharaj29/tensor2tensor | b89ba51a6fa9e0c20009cfb57ee8de04f7138392 | [
"Apache-2.0"
] | 2 | 2020-03-02T13:49:11.000Z | 2020-06-18T09:48:35.000Z | tensor2tensor/data_generators/qnli.py | PedroLelis/tensor2tensor | 5a867d031bd493eeb7d2776e1118d1594ff0a623 | [
"Apache-2.0"
] | 1 | 2019-01-21T10:57:47.000Z | 2019-01-21T10:57:47.000Z | tensor2tensor/data_generators/qnli.py | PedroLelis/tensor2tensor | 5a867d031bd493eeb7d2776e1118d1594ff0a623 | [
"Apache-2.0"
] | 1 | 2019-01-24T07:17:14.000Z | 2019-01-24T07:17:14.000Z | # coding=utf-8
# Copyright 2018 The Tensor2Tensor Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 30.211864 | 74 | 0.718373 |
9eeec997d5c0047fe8d711dc4a9e588554a6a508 | 856 | py | Python | examples/l3dcube/test_3d_pos.py | stewartadam/netl3d | a222b7fd65d61a3b8393409a8fe6888d55d949ce | [
"MIT"
] | 3 | 2016-12-09T07:30:26.000Z | 2021-04-18T13:50:11.000Z | examples/l3dcube/test_3d_pos.py | stewartadam/netl3d | a222b7fd65d61a3b8393409a8fe6888d55d949ce | [
"MIT"
] | null | null | null | examples/l3dcube/test_3d_pos.py | stewartadam/netl3d | a222b7fd65d61a3b8393409a8fe6888d55d949ce | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Identifies a LED position in the cube by setting a specific (x, y ,z) to white
"""
import spectra
import sys
import time
import netl3d
from netl3d.hardware import l3dcube
def usage():
print("Usage: test_3d_pos.py x y z")
print("\tWhere x, y and z are... | 21.948718 | 79 | 0.648364 |
9eeeff27ca50f82e5886896a2060e9d6be6944d1 | 778 | py | Python | workflow/ignite/decorators/evaluate.py | Aiwizo/ml-workflow | 88e104fce571dd3b76914626a52f9001342c07cc | [
"Apache-2.0"
] | 4 | 2020-09-23T15:39:24.000Z | 2021-09-12T22:11:00.000Z | workflow/ignite/decorators/evaluate.py | Aiwizo/ml-workflow | 88e104fce571dd3b76914626a52f9001342c07cc | [
"Apache-2.0"
] | 4 | 2020-09-23T15:07:39.000Z | 2020-10-30T10:26:24.000Z | workflow/ignite/decorators/evaluate.py | Aiwizo/ml-workflow | 88e104fce571dd3b76914626a52f9001342c07cc | [
"Apache-2.0"
] | null | null | null | import torch
from functools import wraps
from workflow.functional import structure_map
from workflow.torch import module_device, module_eval
from workflow.ignite.decorators.to_device import to_device
def cpu_detach(x):
if type(x) is torch.Tensor:
return x.detach().cpu()
else:
return x
def e... | 23.575758 | 58 | 0.616967 |
9eef0399e7d4c733571ae22473bde840f78c2dcb | 4,264 | py | Python | app/recipe/tests/test_ing.py | litesh1998/recipiApiDjango | 364758ef4b4ddf919c13c9147dc5b45828b75308 | [
"MIT"
] | null | null | null | app/recipe/tests/test_ing.py | litesh1998/recipiApiDjango | 364758ef4b4ddf919c13c9147dc5b45828b75308 | [
"MIT"
] | null | null | null | app/recipe/tests/test_ing.py | litesh1998/recipiApiDjango | 364758ef4b4ddf919c13c9147dc5b45828b75308 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.urls import reverse
from django.test import TestCase
from rest_framework import status
from rest_framework.test import APIClient
from core.models import Ingrediant, Recipe
from recipe.serializers import IngrediantSerializer
INGREDIANT_URL = reverse('recipe:... | 32.8 | 79 | 0.654081 |
9eef6842256bfc99e776707890229f00d8513d1f | 3,509 | py | Python | prom/decorators.py | viggyfresh/prom | a918476dab1dbadced61fc088cdc36fed1685d0a | [
"MIT"
] | null | null | null | prom/decorators.py | viggyfresh/prom | a918476dab1dbadced61fc088cdc36fed1685d0a | [
"MIT"
] | null | null | null | prom/decorators.py | viggyfresh/prom | a918476dab1dbadced61fc088cdc36fed1685d0a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, division, print_function, absolute_import
import time
from functools import wraps
import logging
from .exception import InterfaceError
logger = logging.getLogger(__name__)
def reconnecting(count=None, backoff=None):
"""this is a very specific dec... | 33.103774 | 88 | 0.565118 |
9eef7d1138dabd3af75f7d43cdc76926a762c6dc | 5,051 | py | Python | wingspipe/run_stips.py | benw1/WINGS | 32d4bfd073da0b86d2340cde25a5601d0a1ec95e | [
"RSA-MD"
] | 4 | 2022-01-04T18:24:56.000Z | 2022-01-27T08:23:37.000Z | wingspipe/run_stips.py | benw1/WINGS | 32d4bfd073da0b86d2340cde25a5601d0a1ec95e | [
"RSA-MD"
] | null | null | null | wingspipe/run_stips.py | benw1/WINGS | 32d4bfd073da0b86d2340cde25a5601d0a1ec95e | [
"RSA-MD"
] | null | null | null | #! /usr/bin/env python
import os
#import subprocess
from stips.observation_module import ObservationModule
import numpy as np
import wpipe as wp
on_hyak = False
on_pbs = False
filtdict = {'R': 'F062',
'Z': 'F087',
'Y': 'F106',
'J': 'F129',
'H': 'F158',
'F': ... | 42.445378 | 329 | 0.631162 |
9eefbb7a3ce9aa92b44bcf19a2f73a71c3eede1c | 1,447 | py | Python | test/unittests/test_AvAnimalNSum.py | mudkipmaster/gwlf-e | 9e058445537dd32d1916f76c4b73ca64261771cd | [
"Apache-2.0"
] | null | null | null | test/unittests/test_AvAnimalNSum.py | mudkipmaster/gwlf-e | 9e058445537dd32d1916f76c4b73ca64261771cd | [
"Apache-2.0"
] | 6 | 2018-07-24T22:46:28.000Z | 2018-07-29T19:13:09.000Z | test/unittests/test_AvAnimalNSum.py | mudkipmaster/gwlf-e | 9e058445537dd32d1916f76c4b73ca64261771cd | [
"Apache-2.0"
] | 1 | 2018-07-24T18:22:01.000Z | 2018-07-24T18:22:01.000Z | import numpy as np
from VariableUnittest import VariableUnitTest
from gwlfe.Output.AvAnimalNSum import AvAnimalNSum
class TestAvAnimalNSum(VariableUnitTest):
def test_AvAnimalNSum(self):
z = self.z
np.testing.assert_array_almost_equal(
AvAnimalNSum.AvAnimalNSum_f(z.NYrs, z.NGPctManAp... | 60.291667 | 111 | 0.568763 |
9eefcb1dca3310a5c584176aeaed80ac99b9570e | 2,749 | py | Python | plugins/memories.py | alexander171294/sopelPlugins | 819471b5d88347c2a22cf02d2cbe4d45420fb770 | [
"BSD-3-Clause"
] | null | null | null | plugins/memories.py | alexander171294/sopelPlugins | 819471b5d88347c2a22cf02d2cbe4d45420fb770 | [
"BSD-3-Clause"
] | null | null | null | plugins/memories.py | alexander171294/sopelPlugins | 819471b5d88347c2a22cf02d2cbe4d45420fb770 | [
"BSD-3-Clause"
] | 1 | 2021-05-23T00:32:30.000Z | 2021-05-23T00:32:30.000Z | import logging
import os
import re
import shlex
from sopel import module
FORMAT = "{ID}.- {KEY} - {VALUE}"
BLOCKLIST_WORDS = (
"seen_action",
"seen_channel",
"seen_message",
"seen_timestamp"
)
BLOCKLIST_RE = "|".join(BLOCKLIST_WORDS)
BLOCKLIST_RE = "(%s)" % (BLOCKLIST_RE)
@module.commands("memories")
@module.exam... | 25.220183 | 101 | 0.626773 |
9eefcc0daa1855b3764de5c69f66f645a41ccc2f | 3,586 | py | Python | tests/test_align_celeba_format.py | yasakova-anastasia/datumaro | 7082fc4f50291d3b3c2022f069f76628e9fd07bb | [
"MIT"
] | null | null | null | tests/test_align_celeba_format.py | yasakova-anastasia/datumaro | 7082fc4f50291d3b3c2022f069f76628e9fd07bb | [
"MIT"
] | 1 | 2021-10-05T17:41:05.000Z | 2021-10-05T17:41:05.000Z | tests/test_align_celeba_format.py | yasakova-anastasia/datumaro | 7082fc4f50291d3b3c2022f069f76628e9fd07bb | [
"MIT"
] | null | null | null | from unittest import TestCase
import os.path as osp
import numpy as np
from datumaro.components.annotation import (
AnnotationType, Label, LabelCategories, Points, PointsCategories,
)
from datumaro.components.dataset import Dataset
from datumaro.components.environment import Environment
from datumaro.components.e... | 41.697674 | 98 | 0.535694 |
9eefd04b13f8dcbc956325271895d1408f7987ec | 7,909 | py | Python | tests/test_docstrings/test_numpy.py | pawamoy/griffe | 8465796426fda40fc46f0f1682032be3f6b17aa8 | [
"0BSD"
] | 9 | 2021-09-22T09:01:01.000Z | 2022-01-19T20:43:23.000Z | tests/test_docstrings/test_numpy.py | pawamoy/griffe | 8465796426fda40fc46f0f1682032be3f6b17aa8 | [
"0BSD"
] | 4 | 2021-09-29T18:02:18.000Z | 2022-01-20T17:06:16.000Z | tests/test_docstrings/test_numpy.py | pawamoy/griffe | 8465796426fda40fc46f0f1682032be3f6b17aa8 | [
"0BSD"
] | 1 | 2022-01-21T16:37:52.000Z | 2022-01-21T16:37:52.000Z | """Tests for the [Numpy-style parser][griffe.docstrings.numpy]."""
from __future__ import annotations
from griffe.dataclasses import Function, Parameter, Parameters
from griffe.docstrings import numpy
from griffe.docstrings.dataclasses import (
DocstringAttribute,
DocstringParameter,
DocstringRaise,
D... | 25.268371 | 118 | 0.571501 |
9eeff208e6e9c85feaa20f5998fed9046de193a9 | 803 | py | Python | onadata/apps/viewer/models/instance_modification.py | ubpd/kobocat | 45906e07e8f05c30e3e26bab5570a8ab1ee264db | [
"BSD-2-Clause"
] | null | null | null | onadata/apps/viewer/models/instance_modification.py | ubpd/kobocat | 45906e07e8f05c30e3e26bab5570a8ab1ee264db | [
"BSD-2-Clause"
] | null | null | null | onadata/apps/viewer/models/instance_modification.py | ubpd/kobocat | 45906e07e8f05c30e3e26bab5570a8ab1ee264db | [
"BSD-2-Clause"
] | null | null | null | # coding: utf-8
from __future__ import unicode_literals, print_function, division, absolute_import
from django.contrib.auth.models import User
from django.db import models
from onadata.apps.logger.models import Instance
class InstanceModification(models.Model):
user = models.ForeignKey(User, null=True)
acti... | 27.689655 | 82 | 0.699875 |
9eeffc6d093bca714d106bebb6919e5d20204c4d | 3,151 | py | Python | alipay/aop/api/domain/QuotaQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/QuotaQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/QuotaQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AccountQuotaDetail import AccountQuotaDetail
class QuotaQueryResponse(object):
def __init__(self):
self._agreement_no = None
self._error_code = None
s... | 30.009524 | 77 | 0.602983 |
9ef00ed7b098504cf1b93aa27dc6f72c97285e81 | 15 | py | Python | Tests/Bugs/jiba/r_jiba1_t.py | jwilk/Pyrex | 83dfbae1261788933472e3f9c501ad74c61a37c5 | [
"Apache-2.0"
] | 5 | 2019-05-26T20:48:36.000Z | 2021-07-09T01:38:38.000Z | Tests/Bugs/jiba/r_jiba1_t.py | jwilk/Pyrex | 83dfbae1261788933472e3f9c501ad74c61a37c5 | [
"Apache-2.0"
] | null | null | null | Tests/Bugs/jiba/r_jiba1_t.py | jwilk/Pyrex | 83dfbae1261788933472e3f9c501ad74c61a37c5 | [
"Apache-2.0"
] | 1 | 2022-02-10T07:14:58.000Z | 2022-02-10T07:14:58.000Z | import r_jiba1
| 7.5 | 14 | 0.866667 |
9ef034b669bc4e9c514472253490ca68ac28606f | 6,586 | py | Python | tests/core/tests/backends/solr_backend.py | mcroydon/django-haystack | bdb0151cb85dc3a1b2bafcf9f5f410c9653a4ac5 | [
"BSD-3-Clause"
] | 1 | 2016-05-09T12:26:20.000Z | 2016-05-09T12:26:20.000Z | tests/core/tests/backends/solr_backend.py | mcroydon/django-haystack | bdb0151cb85dc3a1b2bafcf9f5f410c9653a4ac5 | [
"BSD-3-Clause"
] | null | null | null | tests/core/tests/backends/solr_backend.py | mcroydon/django-haystack | bdb0151cb85dc3a1b2bafcf9f5f410c9653a4ac5 | [
"BSD-3-Clause"
] | null | null | null | import datetime
import pysolr
from django.conf import settings
from django.test import TestCase
from haystack import indexes
from haystack.backends.solr_backend import SearchBackend
from haystack import sites
from core.models import MockModel, AnotherMockModel
class SolrMockSearchIndex(indexes.SearchIndex):
text ... | 49.893939 | 537 | 0.619648 |
9ef057afb6b1af3ae8c738f8fe9e6a94c7969e04 | 11,643 | py | Python | sktime/transformers/series_as_features/summarize/_tsfresh.py | brettkoonce/sktime | 6336247bad0dac8692aa4b911c267f401dea4163 | [
"BSD-3-Clause"
] | 2 | 2020-10-05T12:17:41.000Z | 2020-10-19T08:57:50.000Z | sktime/transformers/series_as_features/summarize/_tsfresh.py | brettkoonce/sktime | 6336247bad0dac8692aa4b911c267f401dea4163 | [
"BSD-3-Clause"
] | 2 | 2020-04-20T12:26:42.000Z | 2020-04-22T17:09:14.000Z | sktime/transformers/series_as_features/summarize/_tsfresh.py | brettkoonce/sktime | 6336247bad0dac8692aa4b911c267f401dea4163 | [
"BSD-3-Clause"
] | 1 | 2022-02-14T18:19:01.000Z | 2022-02-14T18:19:01.000Z | #!/usr/bin/env python3 -u
# coding: utf-8
# copyright: sktime developers, BSD-3-Clause License (see LICENSE file)
__author__ = ["Ayushmaan Seth", "Markus Löning"]
__all__ = ["TSFreshFeatureExtractor", "TSFreshRelevantFeatureExtractor"]
from warnings import warn
from sktime.transformers.series_as_features.base import... | 36.498433 | 79 | 0.638839 |
9ef0888c25c22540d0397ea0bf1d610b9a133606 | 5,999 | py | Python | src/TimesTab.py | ubco-mds-2021-labs/dashboard1-group-f | 9de5ffc12974ff0f2f1b0585e3c81410578ed41d | [
"MIT"
] | 4 | 2022-02-16T22:30:24.000Z | 2022-02-17T01:24:46.000Z | src/TimesTab.py | ubco-mds-2021-labs/dashboard1-group-f | 9de5ffc12974ff0f2f1b0585e3c81410578ed41d | [
"MIT"
] | 26 | 2022-02-16T23:02:02.000Z | 2022-03-25T20:12:36.000Z | src/TimesTab.py | ubco-mds-2021-labs/dashboard1-group-f | 9de5ffc12974ff0f2f1b0585e3c81410578ed41d | [
"MIT"
] | 1 | 2022-03-11T01:54:37.000Z | 2022-03-11T01:54:37.000Z | from dash import Dash, dcc, html
import dash_bootstrap_components as dbc
import altair as alt
import pandas as pd
import numpy as np
# Wait times line plot
def line_plot_tt(df):
"""
Create an altair chart object on html that plots a single plot about percentile waiting times from a given dataframe.
Pa... | 33.892655 | 184 | 0.615103 |
9ef0b57d23cf647b6f1d820fa9f61dffde766a90 | 6,740 | py | Python | pytest_adaptavist/__init__.py | cataddict/pytest-adaptavist | c0a3270c75dea95392fdb3acf647dc121eacd4ec | [
"MIT"
] | null | null | null | pytest_adaptavist/__init__.py | cataddict/pytest-adaptavist | c0a3270c75dea95392fdb3acf647dc121eacd4ec | [
"MIT"
] | null | null | null | pytest_adaptavist/__init__.py | cataddict/pytest-adaptavist | c0a3270c75dea95392fdb3acf647dc121eacd4ec | [
"MIT"
] | null | null | null | """This module provides a set of pytest hooks for generating Adaptavist test run results from test reports."""
from __future__ import annotations
import getpass
import logging
import os
from importlib.metadata import PackageNotFoundError, version
from typing import Any, Literal, NoReturn
import pytest
from _pytest.c... | 44.342105 | 160 | 0.711721 |
9ef0f2b34193667485a0e247d7828e0daa6b4fc5 | 3,808 | py | Python | nvflare/private/fed/client/client_json_config.py | Can-Zhao/NVFlare | 52d9dee9972b32d49d9a8add52a652ce3bb878b5 | [
"Apache-2.0"
] | 155 | 2021-08-05T18:05:09.000Z | 2022-03-27T15:32:56.000Z | nvflare/private/fed/client/client_json_config.py | Can-Zhao/NVFlare | 52d9dee9972b32d49d9a8add52a652ce3bb878b5 | [
"Apache-2.0"
] | 216 | 2021-12-01T06:07:12.000Z | 2022-03-30T23:34:02.000Z | nvflare/private/fed/client/client_json_config.py | Can-Zhao/NVFlare | 52d9dee9972b32d49d9a8add52a652ce3bb878b5 | [
"Apache-2.0"
] | 44 | 2021-11-24T16:03:29.000Z | 2022-03-24T23:28:39.000Z | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 34.618182 | 106 | 0.659664 |
9ef0fee52386339cfc279235d2c401dd06bd5ebc | 930 | py | Python | config/cms_toolbars.py | allink/allink-apps | 101a9e2e0129d932970e0ae89f790d2033a7c805 | [
"BSD-3-Clause"
] | 1 | 2017-03-13T08:49:49.000Z | 2017-03-13T08:49:49.000Z | config/cms_toolbars.py | allink/allink-apps | 101a9e2e0129d932970e0ae89f790d2033a7c805 | [
"BSD-3-Clause"
] | null | null | null | config/cms_toolbars.py | allink/allink-apps | 101a9e2e0129d932970e0ae89f790d2033a7c805 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from django.utils.translation import ugettext_lazy as _
from django.core.urlresolvers import reverse
from cms.toolbar.items import Break
from cms.cms_toolbars import ADMIN_MENU_IDENTIFIER, ADMIN_SITES_BREAK
from cms.toolbar_pool import toolbar_pool
from cms.toolbar_base import CMSToolbar
from ... | 33.214286 | 111 | 0.735484 |
9ef11bd7bba0a9540d2dcf47bf0f84e3eda02be6 | 3,710 | py | Python | scripts/profile_model.py | maua-maua-maua/nvGAN | edea24c58646780c9fb8ea942e49708ce9d62421 | [
"MIT"
] | null | null | null | scripts/profile_model.py | maua-maua-maua/nvGAN | edea24c58646780c9fb8ea942e49708ce9d62421 | [
"MIT"
] | null | null | null | scripts/profile_model.py | maua-maua-maua/nvGAN | edea24c58646780c9fb8ea942e49708ce9d62421 | [
"MIT"
] | null | null | null | """
This script computes imgs/sec for a generator in the eval mode
for different batch sizes
"""
import sys; sys.path.extend(['..', '.', 'src'])
import time
import hydra
import numpy as np
import torch
import torch.autograd.profiler as profiler
import torch.nn as nn
from hydra.experimental import initialize
from omega... | 35.673077 | 153 | 0.688679 |
9ef11f8e9b470f3bae6b7cfec194774160fc2bd1 | 5,188 | py | Python | tensorflow/contrib/eager/python/examples/revnet/main.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 71 | 2017-05-25T16:02:15.000Z | 2021-06-09T16:08:08.000Z | tensorflow/contrib/eager/python/examples/revnet/main.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/contrib/eager/python/examples/revnet/main.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 26 | 2017-04-12T16:25:44.000Z | 2018-10-30T10:10:15.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.054054 | 80 | 0.698728 |
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