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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2c2296a7af80752c885721e618ab896d2c0978d7 | 2,110 | py | Python | tests/test_heartbeat.py | maxerbubba/stepfunctions_activity_worker | 846e9a2351f96b20855588845fba8be9a1a72a7b | [
"MIT"
] | 6 | 2018-11-29T18:37:35.000Z | 2021-06-07T14:14:16.000Z | tests/test_heartbeat.py | maxerbubba/stepfunctions_activity_worker | 846e9a2351f96b20855588845fba8be9a1a72a7b | [
"MIT"
] | 6 | 2018-11-30T16:14:32.000Z | 2019-10-16T15:41:16.000Z | tests/test_heartbeat.py | maxerbubba/stepfunctions_activity_worker | 846e9a2351f96b20855588845fba8be9a1a72a7b | [
"MIT"
] | 1 | 2019-10-11T05:00:08.000Z | 2019-10-11T05:00:08.000Z | """Tests for stepfunctions_activity_worker.heartbeat.
Since Heartbeat inherits from threading.Timer we're testing against the
functionality that we override/extending to it.
"""
from unittest import mock
import pytest
from stepfunctions_activity_worker.heartbeat import Heartbeat
@pytest.fixture
def heartbeat_args(... | 27.051282 | 71 | 0.7109 | 0 | 0 | 0 | 0 | 399 | 0.1891 | 0 | 0 | 518 | 0.245498 |
2c2794286b828cae460d295bd29cdfc5c27b425e | 632 | py | Python | python/reverseString.py | l0latgithub/codediary | a0327d2ee1137a542886d0af85129692711cd68a | [
"MIT"
] | null | null | null | python/reverseString.py | l0latgithub/codediary | a0327d2ee1137a542886d0af85129692711cd68a | [
"MIT"
] | null | null | null | python/reverseString.py | l0latgithub/codediary | a0327d2ee1137a542886d0af85129692711cd68a | [
"MIT"
] | null | null | null | class Solution:
def reverseString(self, s: List[str]) -> None:
"""
Do not return anything, modify s in-place instead.
Write a function that reverses a string. The input
string is given as an array of characters char[].
Do not allocate extra space for another array,... | 33.263158 | 80 | 0.571203 | 632 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 427 | 0.675633 |
2c280a854d5dd0052e5104746e9e594265513c8d | 1,251 | py | Python | otptags.py | azukacchi/scriptsdump | c54d1dcf42ac0e5242786fa4364c7532ed7b5446 | [
"MIT"
] | 2 | 2021-09-10T03:21:33.000Z | 2021-11-14T20:02:53.000Z | otptags.py | azukacchi/scriptsdump | c54d1dcf42ac0e5242786fa4364c7532ed7b5446 | [
"MIT"
] | null | null | null | otptags.py | azukacchi/scriptsdump | c54d1dcf42ac0e5242786fa4364c7532ed7b5446 | [
"MIT"
] | null | null | null | import re
from bs4 import BeautifulSoup
import os.path
from datetime import date
import requests
import csv
import time
delay = 6
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
filename = 'ao3tags.csv'
filepath = os.path.join(BASE_DIR, filename)
def tagcount():
urls = [] # list of link to your otp tag... | 26.617021 | 72 | 0.605116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 287 | 0.229416 |
2c293d8c5436830faf8721c88cbacb4b46a95b30 | 412 | py | Python | INF1511/Chapter3/matrix1.py | GalliWare/UNISA-studies | 32bab94930b176c4dfe943439781ef102896fab5 | [
"Unlicense"
] | null | null | null | INF1511/Chapter3/matrix1.py | GalliWare/UNISA-studies | 32bab94930b176c4dfe943439781ef102896fab5 | [
"Unlicense"
] | null | null | null | INF1511/Chapter3/matrix1.py | GalliWare/UNISA-studies | 32bab94930b176c4dfe943439781ef102896fab5 | [
"Unlicense"
] | null | null | null | table = [[0 for i in range(3)] for j in range(3)]
print("Enter values for a matrix of order 3 x 3")
for d1 in range(3):
for d2 in range(3):
table[d1][d2] = int(input())
print("Elements of the matrix are %a" % table)
print("Elements of the matrix are ")
for row in table:
print(row)
s = 0
for row in table... | 27.466667 | 56 | 0.618932 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.356796 |
2c2944dad267b75f5e9b14f426638486e1db3d9f | 2,880 | py | Python | djangosige/apps/base/views_mixins.py | CTECHSUL/SG | 0d4822b3826e015ad24690815bb9c52952431ea7 | [
"MIT"
] | 330 | 2017-07-03T08:41:24.000Z | 2022-03-31T04:34:17.000Z | djangosige/apps/base/views_mixins.py | CTECHSUL/SG | 0d4822b3826e015ad24690815bb9c52952431ea7 | [
"MIT"
] | 107 | 2017-07-03T22:21:35.000Z | 2022-03-30T08:10:24.000Z | djangosige/apps/base/views_mixins.py | matfurrier/SIGEsistema | 6b0072741809c5e5077d201862ea76d839161735 | [
"MIT"
] | 258 | 2017-06-27T20:11:46.000Z | 2022-03-20T21:46:34.000Z | from __future__ import unicode_literals
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from django.shortcuts import redirect
class SuperUserRequiredMixin(object):
@method_decorator(login_required(login_url='login... | 38.918919 | 109 | 0.657292 | 2,658 | 0.918769 | 0 | 0 | 502 | 0.173522 | 0 | 0 | 407 | 0.140684 |
2c2a8fd306dc8e296f6feb602bca22708c15866f | 1,601 | py | Python | source/CheckJobStatusFunction/app.py | kwwaikar/aws-data-exchange-publisher-coordinator-1 | 8bfec78ff64432d2b2804050116994d76928cb81 | [
"MIT"
] | null | null | null | source/CheckJobStatusFunction/app.py | kwwaikar/aws-data-exchange-publisher-coordinator-1 | 8bfec78ff64432d2b2804050116994d76928cb81 | [
"MIT"
] | null | null | null | source/CheckJobStatusFunction/app.py | kwwaikar/aws-data-exchange-publisher-coordinator-1 | 8bfec78ff64432d2b2804050116994d76928cb81 | [
"MIT"
] | null | null | null | import boto3
import os
import logging
from datetime import datetime
def lambda_handler(event, context):
"""This function checks and returns the import assets job status"""
try:
global log_level
log_level = str(os.environ.get('LOG_LEVEL')).upper()
valid_log_levels = ['DEBUG... | 28.589286 | 77 | 0.562773 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 411 | 0.256715 |
2c2b3898833c53843db57d3da758950386a9aad9 | 7,592 | py | Python | languages/python/cp857_5x7.py | ercanersoy/font-library | 7d71b41bddea9d87c230afbaec1a92412ebd7ad9 | [
"CC0-1.0"
] | 1 | 2019-03-30T13:34:24.000Z | 2019-03-30T13:34:24.000Z | languages/python/cp857_5x7.py | ercanersoy/font-library | 7d71b41bddea9d87c230afbaec1a92412ebd7ad9 | [
"CC0-1.0"
] | null | null | null | languages/python/cp857_5x7.py | ercanersoy/font-library | 7d71b41bddea9d87c230afbaec1a92412ebd7ad9 | [
"CC0-1.0"
] | null | null | null | # cp857_5x7.py - CP857 5x7 font file for Python
#
# Copyright (c) 2019-2022 Ercan Ersoy
# This file is written by Ercan Ersoy.
# This file is licensed under CC0-1.0 Universal License.
cp857_5x7 = [
0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x5F, 0x00, 0x00,
0x00, 0x03, 0x00, 0x03, 0x00,
0x14, 0x7F, 0x14, 0... | 32.583691 | 56 | 0.609326 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.023577 |
2c2d0f019ed042f9d5ffe83c988029566ce8aae5 | 282 | py | Python | fjord/redirector/providers/dummy.py | lgp171188/fjord | 1cb4aa3c3e0932c586cdd2c4ee3b6b9974a6976a | [
"BSD-3-Clause"
] | 16 | 2015-02-06T14:35:57.000Z | 2021-07-10T11:14:00.000Z | fjord/redirector/providers/dummy.py | lgp171188/fjord | 1cb4aa3c3e0932c586cdd2c4ee3b6b9974a6976a | [
"BSD-3-Clause"
] | 310 | 2015-01-07T14:39:35.000Z | 2016-05-02T17:41:30.000Z | fjord/redirector/providers/dummy.py | lgp171188/fjord | 1cb4aa3c3e0932c586cdd2c4ee3b6b9974a6976a | [
"BSD-3-Clause"
] | 22 | 2015-01-15T13:46:03.000Z | 2020-07-24T10:08:51.000Z | from fjord.redirector import Redirector
class DummyRedirector(Redirector):
def handle_redirect(self, request, redirect):
if redirect.startswith('dummy:'):
redirect = redirect.split(':')
return 'http://example.com/' + redirect[1]
return
| 28.2 | 54 | 0.648936 | 239 | 0.847518 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.113475 |
2c2ec23931c6b9f6cf2d97ddfef973d0d7caa687 | 12,363 | py | Python | app/models.py | eellkk/flask_learn | 18810a09a7384af15d3767b56274c990fe1c154b | [
"MIT"
] | null | null | null | app/models.py | eellkk/flask_learn | 18810a09a7384af15d3767b56274c990fe1c154b | [
"MIT"
] | null | null | null | app/models.py | eellkk/flask_learn | 18810a09a7384af15d3767b56274c990fe1c154b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 20 11:26:41 2016
@author: Administrator
"""
#从__init__.py中导入db，db = SQLAlchemt()
from . import db,login_manager
#导入Werkzeug中的security模块支持密码散列
from werkzeug.security import generate_password_hash,check_password_hash
from flask.ext.login import UserMixin,Anonymo... | 37.01497 | 164 | 0.604708 | 11,385 | 0.912479 | 0 | 0 | 3,952 | 0.316743 | 0 | 0 | 1,539 | 0.123347 |
2c3065c1d277ab3a50d50ca18e17bde26be17ca4 | 2,657 | py | Python | main.py | firestalk/vk_delpost | 79ae0ad94e65a81da2a103370dccd7765cff3db5 | [
"MIT"
] | null | null | null | main.py | firestalk/vk_delpost | 79ae0ad94e65a81da2a103370dccd7765cff3db5 | [
"MIT"
] | null | null | null | main.py | firestalk/vk_delpost | 79ae0ad94e65a81da2a103370dccd7765cff3db5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from splinter import Browser
from time import sleep
import re
import json
import sys
class VkDelPost:
def __init__(self):
self.account = self.load_cfg()
def main(self):
email = self.account['email']
passw = self.account['passw']
w... | 34.506494 | 129 | 0.519759 | 2,456 | 0.924351 | 0 | 0 | 0 | 0 | 0 | 0 | 609 | 0.229206 |
2c324eb057bd0ddba6a6403d5a9df98e2318b393 | 948 | py | Python | pandagg/node/query/joining.py | leonardbinet/pandagg | 5a5619e2190503da841e32782a4e55b35727d656 | [
"MIT"
] | null | null | null | pandagg/node/query/joining.py | leonardbinet/pandagg | 5a5619e2190503da841e32782a4e55b35727d656 | [
"MIT"
] | null | null | null | pandagg/node/query/joining.py | leonardbinet/pandagg | 5a5619e2190503da841e32782a4e55b35727d656 | [
"MIT"
] | null | null | null | from pandagg.node.query.compound import CompoundClause
from pandagg.node.query._parameter_clause import Path, QueryP
class Nested(CompoundClause):
DEFAULT_OPERATOR = QueryP
PARAMS_WHITELIST = ["path", "query", "score_mode", "ignore_unmapped"]
KEY = "nested"
def __init__(self, *args, **kwargs):
... | 24.947368 | 76 | 0.64557 | 819 | 0.863924 | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 0.216245 |
257385445594750f579250d74f0144116e915ee8 | 19,130 | py | Python | ptest/usb_session.py | athena255/FlightSoftware | c3fd7dcc6c265fad9843f8992b60d5a773c99f23 | [
"MIT"
] | null | null | null | ptest/usb_session.py | athena255/FlightSoftware | c3fd7dcc6c265fad9843f8992b60d5a773c99f23 | [
"MIT"
] | 1 | 2020-09-20T20:11:06.000Z | 2020-09-20T20:11:06.000Z | ptest/usb_session.py | athena255/FlightSoftware | c3fd7dcc6c265fad9843f8992b60d5a773c99f23 | [
"MIT"
] | null | null | null | import time
import datetime
import serial
import threading
import json
import traceback
import queue
import os
import pty
import subprocess
from multiprocessing import Process
import glob
from elasticsearch import Elasticsearch
from .data_consumers import Datastore, Logger
from .http_cmd import create_usb_session_endp... | 38.961303 | 163 | 0.595086 | 18,803 | 0.982906 | 0 | 0 | 0 | 0 | 0 | 0 | 7,341 | 0.383743 |
25750c8794444def7be2e0ed0c2beae4eab5e2f1 | 1,233 | py | Python | Python Programs/matrix-add-top-row.py | muhammad-masood-ur-rehman/Skillrack | 71a25417c89d0efab40ee6229ccd758b26ae4312 | [
"CC0-1.0"
] | 2 | 2021-06-26T21:50:59.000Z | 2021-09-18T04:55:51.000Z | Python Programs/matrix-add-top-row.py | muhammad-masood-ur-rehman/Skillrack | 71a25417c89d0efab40ee6229ccd758b26ae4312 | [
"CC0-1.0"
] | null | null | null | Python Programs/matrix-add-top-row.py | muhammad-masood-ur-rehman/Skillrack | 71a25417c89d0efab40ee6229ccd758b26ae4312 | [
"CC0-1.0"
] | null | null | null | Matrix Add Top Row
Matrix Add Top Row: A matrix of size R*C is given as the input to the program. The program must add the elements in the first row in each column to the elements in the below rows by equally dividing them. Then the program must print the modified matrix as the output.
Note: If the integer cannot be e... | 25.6875 | 267 | 0.657745 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.004854 |
25760e26ccc984f053e0ae3f5160d2bb9ebef9f4 | 11,044 | py | Python | test/composed_visitor_test.py | FreeYourSoul/FreExGraph | 375ff2111c68442d35cb88a2e98f16279c705bd6 | [
"MIT"
] | 3 | 2021-04-16T20:44:13.000Z | 2022-02-11T00:57:40.000Z | test/composed_visitor_test.py | FreeYourSoul/FreExGraph | 375ff2111c68442d35cb88a2e98f16279c705bd6 | [
"MIT"
] | null | null | null | test/composed_visitor_test.py | FreeYourSoul/FreExGraph | 375ff2111c68442d35cb88a2e98f16279c705bd6 | [
"MIT"
] | 1 | 2021-03-25T19:49:27.000Z | 2021-03-25T19:49:27.000Z | # MIT License
#
# Copyright (c) 2021 Quentin Balland
# Project : https://github.com/FreeYourSoul/FreExGraph
#
# 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 wi... | 42.806202 | 87 | 0.741579 | 1,220 | 0.110467 | 0 | 0 | 0 | 0 | 0 | 0 | 1,359 | 0.123053 |
257840704f660f29957142fc99721907a1db3293 | 29,073 | py | Python | test/test_nfvbench.py | hashnfv/hashnfv-nfvbench | 8da439b932537748d379c7bd3bdf560ef739b203 | [
"Apache-2.0"
] | null | null | null | test/test_nfvbench.py | hashnfv/hashnfv-nfvbench | 8da439b932537748d379c7bd3bdf560ef739b203 | [
"Apache-2.0"
] | null | null | null | test/test_nfvbench.py | hashnfv/hashnfv-nfvbench | 8da439b932537748d379c7bd3bdf560ef739b203 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2016 Cisco Systems, 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.... | 34.98556 | 98 | 0.52836 | 136 | 0.004678 | 0 | 0 | 1,025 | 0.035256 | 0 | 0 | 20,200 | 0.694803 |
2578bd207d261948c34574e9d8df87d9062a4d4d | 264 | py | Python | {{cookiecutter.repo_name}}/{{cookiecutter.module_name}}/api/index/__init__.py | xiaopeng163/lazyflask | 98ae0c218c90739358c1ec90ae2daa3660d10e1b | [
"Apache-2.0"
] | null | null | null | {{cookiecutter.repo_name}}/{{cookiecutter.module_name}}/api/index/__init__.py | xiaopeng163/lazyflask | 98ae0c218c90739358c1ec90ae2daa3660d10e1b | [
"Apache-2.0"
] | null | null | null | {{cookiecutter.repo_name}}/{{cookiecutter.module_name}}/api/index/__init__.py | xiaopeng163/lazyflask | 98ae0c218c90739358c1ec90ae2daa3660d10e1b | [
"Apache-2.0"
] | 1 | 2018-11-05T05:56:29.000Z | 2018-11-05T05:56:29.000Z | # Copyright 2015-2018 Cisco Systems, Inc.
# All rights reserved.
from cxcom.rest.blue_print import blue_print
from {{cookiecutter.module_name}}.api.index.index import Index
BLUE_PRINT_PUBLIC = blue_print('engine_status', 'templates', [
[Index, '/', "/"]
])
| 24 | 62 | 0.731061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0.359848 |
257a8f3de4b6bc7e806d488851674359ff3825e1 | 5,141 | py | Python | tests/costnonlinear.py | rafaelrojasmiliani/gsplines | 663b10f6d53b498a1e892d9eb32a345153de36d2 | [
"MIT"
] | 3 | 2021-08-28T01:42:40.000Z | 2021-12-02T22:39:45.000Z | tests/costnonlinear.py | rafaelrojasmiliani/gsplines | 663b10f6d53b498a1e892d9eb32a345153de36d2 | [
"MIT"
] | null | null | null | tests/costnonlinear.py | rafaelrojasmiliani/gsplines | 663b10f6d53b498a1e892d9eb32a345153de36d2 | [
"MIT"
] | null | null | null | """
Test the cost function from the problem 1010
"""
import numpy as np
import sympy as sp
import quadpy
import unittest
from opttrj.costnonlinear import cCostNonLinear
from itertools import tee
class cMyCost(cCostNonLinear):
def runningCost(self, _t, _tauv, _u):
pass
def runningCostGradient(sel... | 30.60119 | 78 | 0.471309 | 4,858 | 0.944952 | 0 | 0 | 0 | 0 | 0 | 0 | 747 | 0.145302 |
257a9b3e29b5b9199eb2a23693635e96b83f0500 | 737 | py | Python | src/server/BroadcastThread.py | spectacularGavin/rasp-sec-camera | 3730b7a93e9fd30bfffe9529ed990528a32c5a5c | [
"MIT"
] | null | null | null | src/server/BroadcastThread.py | spectacularGavin/rasp-sec-camera | 3730b7a93e9fd30bfffe9529ed990528a32c5a5c | [
"MIT"
] | null | null | null | src/server/BroadcastThread.py | spectacularGavin/rasp-sec-camera | 3730b7a93e9fd30bfffe9529ed990528a32c5a5c | [
"MIT"
] | null | null | null | from threading import Thread
from subprocess import Popen, PIPE
from wsgiref.simple_server import WSGIServer
class BroadcastThread(Thread):
def __init__(self, converter: Popen, websocket_server: WSGIServer):
super(BroadcastThread, self).__init__()
self.converter = converter
self.websocket_s... | 35.095238 | 77 | 0.625509 | 627 | 0.850746 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.027137 |
257bddd8105c20a3bf215b1b22c1c4992b667b8c | 5,630 | py | Python | manga_py/providers/mangadex_org_v2.py | Abijithkrishna/manga-py | 03b142ecb944ef37a36e5095ffa580209021e3b0 | [
"MIT"
] | 337 | 2019-08-27T16:14:50.000Z | 2022-03-29T09:58:22.000Z | manga_py/providers/mangadex_org_v2.py | Abijithkrishna/manga-py | 03b142ecb944ef37a36e5095ffa580209021e3b0 | [
"MIT"
] | 225 | 2019-08-25T15:02:01.000Z | 2022-03-31T06:36:09.000Z | manga_py/providers/mangadex_org_v2.py | Abijithkrishna/manga-py | 03b142ecb944ef37a36e5095ffa580209021e3b0 | [
"MIT"
] | 41 | 2019-10-04T13:28:02.000Z | 2022-03-19T08:18:34.000Z | import re
from manga_py.provider import Provider
from .helpers.std import Std
from html import escape
class MangaDexOrg(Provider, Std):
__content = None
__chapters = None
__languages = None
__countries = {
'': 'Other',
'bd': 'Bengali',
'bg': 'Bulgarian',
'br': 'Portugue... | 30.934066 | 111 | 0.539076 | 5,504 | 0.97762 | 0 | 0 | 629 | 0.111723 | 0 | 0 | 1,329 | 0.236057 |
257bfa0c3f881287a5a522f4b4310e46894a8022 | 1,494 | py | Python | setup.py | VerseGroup/vg-em | 3c9a93aa9c3c3cba2bace9259bab8b2668b54069 | [
"MIT"
] | 2 | 2022-01-13T18:33:25.000Z | 2022-01-13T18:34:56.000Z | setup.py | VerseGroup/EM-python | 3c9a93aa9c3c3cba2bace9259bab8b2668b54069 | [
"MIT"
] | null | null | null | setup.py | VerseGroup/EM-python | 3c9a93aa9c3c3cba2bace9259bab8b2668b54069 | [
"MIT"
] | null | null | null | import pathlib
from setuptools import setup, find_packages
HERE = pathlib.Path(__file__).parent
README = (HERE / "README.md").read_text()
VERSION = "1.3.0"
DESCRIPTION="VerseGroups encryption manager class (RSA and Fernet wrapped AES sessions through RSA) for secure transmission of data. Also includes utilities such ... | 38.307692 | 203 | 0.663989 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 842 | 0.563588 |
257cd5d4b4e8ff0ea36956f5af38747aff84e4d6 | 24,314 | py | Python | passl/modeling/backbones/discrete_vae.py | lmk123568/PASSL | a4974a665b164b71831b38b5bd8b849615a17f12 | [
"Apache-2.0"
] | null | null | null | passl/modeling/backbones/discrete_vae.py | lmk123568/PASSL | a4974a665b164b71831b38b5bd8b849615a17f12 | [
"Apache-2.0"
] | null | null | null | passl/modeling/backbones/discrete_vae.py | lmk123568/PASSL | a4974a665b164b71831b38b5bd8b849615a17f12 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve.
#
# 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 applic... | 33.816412 | 135 | 0.521181 | 18,493 | 0.760591 | 0 | 0 | 6,152 | 0.253023 | 0 | 0 | 5,571 | 0.229127 |
257d2b7a3c0cb97294399826eb46725bc5e9506f | 33,921 | py | Python | Index.py | Trabalho-APC-DASH/Painel-APC | 1920c7e1a188ba350268f926c0bf69552f0ab4a2 | [
"MIT"
] | null | null | null | Index.py | Trabalho-APC-DASH/Painel-APC | 1920c7e1a188ba350268f926c0bf69552f0ab4a2 | [
"MIT"
] | null | null | null | Index.py | Trabalho-APC-DASH/Painel-APC | 1920c7e1a188ba350268f926c0bf69552f0ab4a2 | [
"MIT"
] | null | null | null | # VERSÃO FINAL - ÚNICA - V1.0
# ALTERADA EM 03/04 -- 18:30
# EXPORTAÇÕES:
import plotly.express as px
from pandas import read_excel
from dash import Dash, dcc, html, Input, Output, State
import plotly.graph_objects as go
# IMPORTAÇÃO DE BOOTSTRAP PARA FAZER SITE:
import dash_bootstrap_components as dbc
# DECLARAÇÃ... | 35.743941 | 745 | 0.538811 | 0 | 0 | 0 | 0 | 5,688 | 0.164884 | 0 | 0 | 17,825 | 0.516712 |
257e05fcff394b8322ba4dd1554e86692b4c8292 | 3,918 | py | Python | editline/tests/test_editline.py | mark-nicholson/python-editline | c23f1071c4b832a92f66e2f49142e5c5f00e500d | [
"BSD-3-Clause"
] | 4 | 2017-10-05T19:34:32.000Z | 2021-05-18T23:29:44.000Z | editline/tests/test_editline.py | mark-nicholson/python-editline | c23f1071c4b832a92f66e2f49142e5c5f00e500d | [
"BSD-3-Clause"
] | 2 | 2018-03-30T22:38:17.000Z | 2018-03-30T22:39:13.000Z | editline/tests/test_editline.py | mark-nicholson/python-editline | c23f1071c4b832a92f66e2f49142e5c5f00e500d | [
"BSD-3-Clause"
] | null | null | null | """
Unit testing for parts of the editline and _editline modules.
"""
import os
import sys
import unittest
import subprocess
from test.support import import_module
# too bad this thing moved ...
try:
if sys.version_info[0] >= 3 and sys.version_info[1] >= 5:
from test.support.script_helper import assert_pyt... | 36.962264 | 86 | 0.671006 | 3,119 | 0.796069 | 0 | 0 | 2,520 | 0.643185 | 0 | 0 | 1,059 | 0.270291 |
257e22ee1110fa746c97def96ea06dd14c1ece1b | 13,035 | py | Python | py2many/inference.py | nsauzede/py2many | 7a4c8d0bd200c287281fc397bedafd755a44fa64 | [
"MIT"
] | 2 | 2021-05-13T11:44:33.000Z | 2021-05-14T00:37:26.000Z | py2many/inference.py | nsauzede/py2many | 7a4c8d0bd200c287281fc397bedafd755a44fa64 | [
"MIT"
] | null | null | null | py2many/inference.py | nsauzede/py2many | 7a4c8d0bd200c287281fc397bedafd755a44fa64 | [
"MIT"
] | null | null | null | import ast
from ctypes import c_int8, c_int16, c_int32, c_int64
from ctypes import c_uint8, c_uint16, c_uint32, c_uint64
from dataclasses import dataclass
from typing import Optional
from py2many.analysis import get_id
from py2many.clike import CLikeTranspiler
from py2many.tracer import is_enum
@dataclass
class Inf... | 33.595361 | 88 | 0.582739 | 11,657 | 0.894285 | 0 | 0 | 755 | 0.057921 | 0 | 0 | 1,155 | 0.088608 |
257e4eb0dea44309c2b7cddb8176aa3e129b02d2 | 7,258 | py | Python | evaluate.py | LijieFan/PKU-MMD | cfa6aad468ce6675c6027de1173e366603705d63 | [
"Apache-2.0"
] | 49 | 2017-05-30T15:28:36.000Z | 2022-03-16T06:33:52.000Z | evaluate.py | LijieFan/PKU-MMD | cfa6aad468ce6675c6027de1173e366603705d63 | [
"Apache-2.0"
] | 7 | 2018-12-07T15:05:50.000Z | 2021-11-04T08:21:00.000Z | evaluate.py | ECHO960/PKU-MMD | cfa6aad468ce6675c6027de1173e366603705d63 | [
"Apache-2.0"
] | 9 | 2018-03-03T17:24:16.000Z | 2021-01-15T07:02:07.000Z | # Copyright (c) 2017 Chunhui_Liu@STRUCT_ICST_PKU, All rights reserved.
#
# evaluation protocols used for PKU-MMD dataset
# http://www.icst.pku.edu.cn/struct/Projects/PKUMMD.html
#
# In proposal folder:
# each file contains results for one video.
# several lines in one file,
# each line contain: label, start_fra... | 37.606218 | 83 | 0.666161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,621 | 0.361119 |
257ed12cd5a7b5088a1d81e7a2c06131e88f0e37 | 3,086 | py | Python | train.py | cyrusmvahid/LSTNet-Gluon | c2e8b34bcd67220bd87647fdf9d01baa0023133d | [
"Apache-2.0"
] | null | null | null | train.py | cyrusmvahid/LSTNet-Gluon | c2e8b34bcd67220bd87647fdf9d01baa0023133d | [
"Apache-2.0"
] | null | null | null | train.py | cyrusmvahid/LSTNet-Gluon | c2e8b34bcd67220bd87647fdf9d01baa0023133d | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import argparse
import mxnet as mx
from mxnet import nd, gluon, autograd
from dataset import TimeSeriesData
from model import LSTNet
import time
import multiprocessing as mp
def train(file_path, out_path):
ts_data = TimeSeriesData(file_path, window=24*7, horizon=24)
ct... | 33.912088 | 146 | 0.598509 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 540 | 0.174984 |
2582945bf9536fba450ea2b236790e0e288299e8 | 2,821 | py | Python | tests/ahv_vm/test_ahv_vm.py | nutanixdev/calm-dsl | 90e1c583d7b9ac905cdfb3e2ad27f9f930e69831 | [
"Apache-2.0"
] | null | null | null | tests/ahv_vm/test_ahv_vm.py | nutanixdev/calm-dsl | 90e1c583d7b9ac905cdfb3e2ad27f9f930e69831 | [
"Apache-2.0"
] | null | null | null | tests/ahv_vm/test_ahv_vm.py | nutanixdev/calm-dsl | 90e1c583d7b9ac905cdfb3e2ad27f9f930e69831 | [
"Apache-2.0"
] | null | null | null | from calm.dsl.builtins import AhvVmDisk, AhvVmNic, AhvVmGC, AhvVmGpu
from calm.dsl.builtins import basic_cred, ahv_vm_resources
from calm.dsl.builtins import vm_disk_package, read_local_file
from calm.dsl.config import get_context
AhvVm = ahv_vm_resources()
CENTOS_USERNAME = read_local_file(".tests/centos_username")... | 31.344444 | 88 | 0.69408 | 1,632 | 0.578518 | 0 | 0 | 0 | 0 | 0 | 0 | 687 | 0.243531 |
2584851a4d17126b2fb8d6436c754e69633733dc | 724 | py | Python | validator/rules_src/dict.py | Varun-22/Validator | 2c5caa9323aef35e2796813a357e5a7d6d4a80ba | [
"MIT"
] | 41 | 2020-05-07T15:35:12.000Z | 2021-11-01T03:57:09.000Z | validator/rules_src/dict.py | Varun-22/Validator | 2c5caa9323aef35e2796813a357e5a7d6d4a80ba | [
"MIT"
] | 83 | 2020-05-09T22:11:26.000Z | 2022-03-10T19:06:46.000Z | validator/rules_src/dict.py | Varun-22/Validator | 2c5caa9323aef35e2796813a357e5a7d6d4a80ba | [
"MIT"
] | 25 | 2020-05-27T22:46:01.000Z | 2022-03-04T01:36:11.000Z | from validator.rules_src import Rule
class Dict(Rule):
"""
The field under validation must be a dictionary (Python map)
Examples:
>>> from validator import validate
>>> reqs = {"data" : {"key1" : "val1", "key2" : "val2"} }
>>> rule = {"data" : "dict"}
>>> validate(reqs, rule)
True
... | 20.685714 | 64 | 0.540055 | 684 | 0.944751 | 0 | 0 | 0 | 0 | 0 | 0 | 435 | 0.600829 |
2585c90edb71c281306603ef92afa4de591ee6b2 | 1,944 | py | Python | data/transcoder_evaluation_gfg/python/LARGEST_SUBARRAY_WITH_EQUAL_NUMBER_OF_0S_AND_1S.py | mxl1n/CodeGen | e5101dd5c5e9c3720c70c80f78b18f13e118335a | [
"MIT"
] | 241 | 2021-07-20T08:35:20.000Z | 2022-03-31T02:39:08.000Z | data/transcoder_evaluation_gfg/python/LARGEST_SUBARRAY_WITH_EQUAL_NUMBER_OF_0S_AND_1S.py | mxl1n/CodeGen | e5101dd5c5e9c3720c70c80f78b18f13e118335a | [
"MIT"
] | 49 | 2021-07-22T23:18:42.000Z | 2022-03-24T09:15:26.000Z | data/transcoder_evaluation_gfg/python/LARGEST_SUBARRAY_WITH_EQUAL_NUMBER_OF_0S_AND_1S.py | mxl1n/CodeGen | e5101dd5c5e9c3720c70c80f78b18f13e118335a | [
"MIT"
] | 71 | 2021-07-21T05:17:52.000Z | 2022-03-29T23:49:28.000Z | # Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
def f_gold(arr, n):
sum = 0
maxsize = - 1
for i in range(0, n - 1):
sum = - 1 if (arr[i] == 0) else 1
... | 41.361702 | 112 | 0.474794 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 243 | 0.125 |
2585e87eaaff2fdd76309cfdbd38bd7f7c95efca | 935 | py | Python | setup.py | DiegoLing33/ling-simple-api | d4b3789cf6110afa3c2db822ff6593079927eca1 | [
"MIT"
] | 2 | 2020-10-28T14:00:05.000Z | 2020-10-30T11:55:27.000Z | setup.py | DiegoLing33/ling-simple-api | d4b3789cf6110afa3c2db822ff6593079927eca1 | [
"MIT"
] | null | null | null | setup.py | DiegoLing33/ling-simple-api | d4b3789cf6110afa3c2db822ff6593079927eca1 | [
"MIT"
] | null | null | null | # ██╗░░░░░██╗███╗░░██╗░██████╗░░░░██████╗░██╗░░░░░░█████╗░░█████╗░██╗░░██╗
# ██║░░░░░██║████╗░██║██╔════╝░░░░██╔══██╗██║░░░░░██╔══██╗██╔══██╗██║░██╔╝
# ██║░░░░░██║██╔██╗██║██║░░██╗░░░░██████╦╝██║░░░░░███████║██║░░╚═╝█████═╝░
# ██║░░░░░██║██║╚████║██║░░╚██╗░░░██╔══██╗██║░░░░░██╔══██║██║░░██╗██╔═██╗░
# ███████╗██║██... | 35.961538 | 75 | 0.319786 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,577 | 0.875625 |
258619b27ba7620cfaf422123a35bececd0c3a59 | 6,826 | py | Python | sdk/python/pulumi_aws/directconnect/connection.py | johnktims/pulumi-aws | c838bc79043f5376c66fc66275a1e012edd3ab7d | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/directconnect/connection.py | johnktims/pulumi-aws | c838bc79043f5376c66fc66275a1e012edd3ab7d | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/directconnect/connection.py | johnktims/pulumi-aws | c838bc79043f5376c66fc66275a1e012edd3ab7d | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class Connec... | 52.507692 | 287 | 0.693671 | 6,516 | 0.954585 | 0 | 0 | 2,310 | 0.338412 | 0 | 0 | 4,175 | 0.611632 |
2587f8ca4edd7908a4b73ab0a1763c2cc0753214 | 4,882 | py | Python | main.py | prateek-77/rcan-it | 587904556d8127bca83690deaaa26e34e051a576 | [
"MIT"
] | 57 | 2022-01-28T04:44:42.000Z | 2022-03-31T13:26:35.000Z | main.py | chisyliu/rcan-it | eb1794777ffef4eadd8a6a06f4419380a0b17435 | [
"MIT"
] | 6 | 2022-02-08T11:17:19.000Z | 2022-03-27T07:40:18.000Z | main.py | chisyliu/rcan-it | eb1794777ffef4eadd8a6a06f4419380a0b17435 | [
"MIT"
] | 10 | 2022-01-28T07:31:12.000Z | 2022-03-15T01:35:03.000Z | import os
import random
import argparse
import numpy as np
import torch
import torch.nn as nn
import torch.distributed as dist
import torch.backends.cudnn as cudnn
from ptsr import model
from ptsr.data import Data
from ptsr.config import load_cfg
from ptsr.model import get_num_params
from ptsr.utils imp... | 36.432836 | 95 | 0.630274 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,172 | 0.240066 |
2588ddff6bc7f93f79f0d46e93db16a0b7b7e0ea | 886 | py | Python | factions.py | Fuih/tqs-bot | d2b0f4b86da1cd0d3fea6fa42529fe2b7f899a76 | [
"MIT"
] | null | null | null | factions.py | Fuih/tqs-bot | d2b0f4b86da1cd0d3fea6fa42529fe2b7f899a76 | [
"MIT"
] | null | null | null | factions.py | Fuih/tqs-bot | d2b0f4b86da1cd0d3fea6fa42529fe2b7f899a76 | [
"MIT"
] | null | null | null | from discord import Color
FACTIONS = {
'Thục': 3,
'Quần': 5,
'Ngụy': 7,
'Ngô': 11
}
FACTION_COLORS = {
FACTIONS['Thục']: Color.red(),
FACTIONS['Quần']: Color.dark_grey(),
FACTIONS['Ngụy']: Color.blue(),
FACTIONS['Ngô']: Color.green(),
FACTIONS['Thục']*FACTIONS['Quần']: Color.dark_r... | 30.551724 | 69 | 0.633183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 153 | 0.166124 |
2588e42576eb79c4a1e848245e4fe3ba547f0a58 | 75 | py | Python | ppml/trusted-big-data-ml/python/docker-graphene/examples/helloworld.py | DirkFi/BigDL | 7493209165c046116470b9a1e1c8f527915d6f1e | [
"Apache-2.0"
] | 2,970 | 2017-06-08T00:24:43.000Z | 2022-03-30T12:14:55.000Z | ppml/trusted-big-data-ml/python/docker-graphene/examples/helloworld.py | DirkFi/BigDL | 7493209165c046116470b9a1e1c8f527915d6f1e | [
"Apache-2.0"
] | 3,530 | 2017-05-09T08:29:10.000Z | 2022-03-21T02:11:45.000Z | ppml/trusted-big-data-ml/python/docker-graphene/examples/helloworld.py | DirkFi/BigDL | 7493209165c046116470b9a1e1c8f527915d6f1e | [
"Apache-2.0"
] | 972 | 2017-05-09T07:03:50.000Z | 2022-03-23T07:48:48.000Z | #!/usr/bin/env python3
print("Hello World")
import sys;
print(sys.path);
| 10.714286 | 22 | 0.693333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.466667 |
2589a0d87beeb28e6dcfc7237ba25fd6df784ac8 | 1,857 | py | Python | tencentcloud/bizlive/v20190313/errorcodes.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 465 | 2018-04-27T09:54:59.000Z | 2022-03-29T02:18:01.000Z | tencentcloud/bizlive/v20190313/errorcodes.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 91 | 2018-04-27T09:48:11.000Z | 2022-03-12T08:04:04.000Z | tencentcloud/bizlive/v20190313/errorcodes.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 232 | 2018-05-02T08:02:46.000Z | 2022-03-30T08:02:48.000Z | # -*- coding: utf8 -*-
# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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... | 26.528571 | 82 | 0.803446 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,508 | 0.723956 |
2589b69bdb44179b5ee78c49ec9b5fbc3cadace8 | 4,828 | py | Python | symphony/cli/gql/gql/client.py | idoshveki/magma | 8022267bd8b8d94913fbb9a0836880361d785446 | [
"BSD-3-Clause"
] | 2 | 2020-11-05T18:58:26.000Z | 2021-02-09T06:42:49.000Z | symphony/cli/gql/gql/client.py | idoshveki/magma | 8022267bd8b8d94913fbb9a0836880361d785446 | [
"BSD-3-Clause"
] | 10 | 2021-03-31T20:19:00.000Z | 2022-02-19T07:09:57.000Z | symphony/cli/gql/gql/client.py | idoshveki/magma | 8022267bd8b8d94913fbb9a0836880361d785446 | [
"BSD-3-Clause"
] | 3 | 2020-08-20T18:45:34.000Z | 2020-08-20T20:18:42.000Z | #!/usr/bin/env python3
import warnings
from logging import Logger, getLogger
from typing import Any, Dict, Optional, cast
from graphql import (
build_ast_schema,
build_client_schema,
get_introspection_query,
parse,
)
from graphql.language.ast import DocumentNode
from graphql.type.schema import GraphQL... | 34 | 88 | 0.629453 | 4,211 | 0.872204 | 0 | 0 | 0 | 0 | 0 | 0 | 593 | 0.122825 |
258c8543e27ed658663d2ca6dbb29648a1842bd2 | 1,219 | py | Python | chem-axon-setup/lambdas/trigger_compound_reg_pipeline.py | spatel-gfb/data-lake-as-code | a5479befd55998a24d535d572a78d803c678dd32 | [
"MIT-0"
] | null | null | null | chem-axon-setup/lambdas/trigger_compound_reg_pipeline.py | spatel-gfb/data-lake-as-code | a5479befd55998a24d535d572a78d803c678dd32 | [
"MIT-0"
] | null | null | null | chem-axon-setup/lambdas/trigger_compound_reg_pipeline.py | spatel-gfb/data-lake-as-code | a5479befd55998a24d535d572a78d803c678dd32 | [
"MIT-0"
] | null | null | null | import boto3
import os
import logging
"""
Create a logging function and initiate it.
"""
format_string = "%(asctime)s %(name)s [%(levelname)s] %(message)s"
logger = logging.getLogger('comp-reg-data-load-pipeline-lambda')
handler = logging.StreamHandler()
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter(for... | 36.939394 | 96 | 0.66612 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 462 | 0.378999 |
258ce0c4afc8aff3be542bf864890a33228e3553 | 1,017 | py | Python | auto_derby/terminal.py | DoctrineAlanK/auto-derby | 781e860b06b9686e56feab115d2212251cd99d10 | [
"MIT"
] | 235 | 2021-05-24T12:09:18.000Z | 2022-03-31T03:44:08.000Z | auto_derby/terminal.py | DoctrineAlanK/auto-derby | 781e860b06b9686e56feab115d2212251cd99d10 | [
"MIT"
] | 193 | 2021-05-27T16:49:14.000Z | 2022-03-31T16:38:08.000Z | auto_derby/terminal.py | DoctrineAlanK/auto-derby | 781e860b06b9686e56feab115d2212251cd99d10 | [
"MIT"
] | 89 | 2021-05-30T17:07:24.000Z | 2022-03-27T15:41:04.000Z | # -*- coding=UTF-8 -*-
# pyright: strict
from __future__ import annotations
import contextlib
from typing import Text
from . import sound, window
class PromptDisabled(PermissionError):
def __init__(self):
super().__init__("prompt disabled")
class g:
pause_sound_path = ""
prompt_sound_path = "... | 19.941176 | 64 | 0.662734 | 195 | 0.19174 | 161 | 0.158309 | 188 | 0.184857 | 0 | 0 | 123 | 0.120944 |
258cee1ed8e38aa6d11f224a86d185f53caa2d9e | 765 | py | Python | backend/db.py | vrutkovs/catcatgo | 80e7d0b0335a44488a1582ab067be59ec998c6e7 | [
"Apache-2.0"
] | 1 | 2018-05-07T20:09:05.000Z | 2018-05-07T20:09:05.000Z | backend/db.py | vrutkovs/catcatgo | 80e7d0b0335a44488a1582ab067be59ec998c6e7 | [
"Apache-2.0"
] | null | null | null | backend/db.py | vrutkovs/catcatgo | 80e7d0b0335a44488a1582ab067be59ec998c6e7 | [
"Apache-2.0"
] | null | null | null | import sys
from pymongo import MongoClient
from pymongo.errors import ServerSelectionTimeoutError
class Mongo():
def __init__(self, username, password, host, port, db):
try:
self.client = MongoClient('mongodb://{}:{}@{}:{}/{}'
.format(username, password, host, port, db))
... | 30.6 | 68 | 0.576471 | 664 | 0.867974 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.091503 |
258dcda4d3e81c18066625b31adc90681cca2a6b | 3,717 | py | Python | rkmt/options/convert_options.py | corenel/rknn-model-tools | 8af9c062ea4955a76ba9986a6cab6f771c9e678a | [
"MIT"
] | 1 | 2020-07-09T08:50:50.000Z | 2020-07-09T08:50:50.000Z | rkmt/options/convert_options.py | corenel/rknn-model-tools | 8af9c062ea4955a76ba9986a6cab6f771c9e678a | [
"MIT"
] | null | null | null | rkmt/options/convert_options.py | corenel/rknn-model-tools | 8af9c062ea4955a76ba9986a6cab6f771c9e678a | [
"MIT"
] | 1 | 2020-07-09T08:50:31.000Z | 2020-07-09T08:50:31.000Z | from rkmt.options.base_options import BaseOptions
class ConvertOptions(BaseOptions):
"""Arguments parser for model conversion."""
def initialize(self, parser):
BaseOptions.initialize(self, parser)
parser.add_argument('--platform',
type=str,
... | 38.71875 | 99 | 0.517622 | 3,664 | 0.985741 | 0 | 0 | 0 | 0 | 0 | 0 | 1,135 | 0.305354 |
258dcfd014f8ea06a5fb2f72aa227e24e3074687 | 12,657 | py | Python | facebook_downloader/__init__.py | coej/facebook_downloader | b354387f818521e431aaeb81ff70890c2905ba1e | [
"MIT"
] | 1 | 2015-08-19T03:51:16.000Z | 2015-08-19T03:51:16.000Z | facebook_downloader/__init__.py | coej/facebook_downloader | b354387f818521e431aaeb81ff70890c2905ba1e | [
"MIT"
] | null | null | null | facebook_downloader/__init__.py | coej/facebook_downloader | b354387f818521e431aaeb81ff70890c2905ba1e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Python 2/3 compatibility
from __future__ import (print_function, unicode_literals, division)
from future.standard_library import install_aliases
install_aliases()
from urllib.parse import urlparse, urlencode
from urllib.request import urlopen, Request
from urllib.error import HTTPError
__metac... | 30.572464 | 118 | 0.572569 | 6,852 | 0.541361 | 1,674 | 0.132259 | 0 | 0 | 0 | 0 | 2,343 | 0.185115 |
2590970997787e3c270df4ec7937f3094133ac02 | 5,172 | py | Python | commands/create_episodes.py | havanagrawal/wikidata-toolkit | 5f39f449ac48eb4b7d93f9b51efa47a4206953e4 | [
"MIT"
] | 5 | 2019-07-29T15:05:14.000Z | 2020-10-15T03:02:50.000Z | commands/create_episodes.py | havanagrawal/wikidata-toolkit | 5f39f449ac48eb4b7d93f9b51efa47a4206953e4 | [
"MIT"
] | 16 | 2019-07-29T05:59:14.000Z | 2021-12-13T20:06:09.000Z | commands/create_episodes.py | havanagrawal/wikidata-toolkit | 5f39f449ac48eb4b7d93f9b51efa47a4206953e4 | [
"MIT"
] | 8 | 2019-12-20T02:27:11.000Z | 2020-10-15T05:25:40.000Z | import csv
from pywikibot import ItemPage, Site
import properties.wikidata_properties as wp
from utils import RepoUtils
from .errors import SuspiciousTitlesError
def read_titles(filepath):
with open(filepath, "r") as f:
reader = csv.reader(f)
return list(reader)
def create_episode_quickstateme... | 39.480916 | 185 | 0.703016 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,961 | 0.379157 |
2591756f58979e1697229e248af9186007db7429 | 14,777 | py | Python | listener/fhir_validator.py | ideaworld/Tester | 21b0106f2affe13636688339cef129aa855e5041 | [
"Unlicense"
] | null | null | null | listener/fhir_validator.py | ideaworld/Tester | 21b0106f2affe13636688339cef129aa855e5041 | [
"Unlicense"
] | null | null | null | listener/fhir_validator.py | ideaworld/Tester | 21b0106f2affe13636688339cef129aa855e5041 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
import re
import os
import json
import requests
versions_url = {
1 : "http://hl7.org/fhir/2017Jan/%s.profile.json",
2 : "http://hl7.org/fhir/STU3/%s.profile.json"
}
DATE_RE = re.compile(r'-?([1-9][0-9]{3}|0[0-9]{3})(-(0[1-9]|1[0-2])(-(0[1-9]|[12][0-9]|3[01]))?)?')
DATETIME_RE = re.compil... | 37.889744 | 312 | 0.540908 | 6,940 | 0.469649 | 0 | 0 | 0 | 0 | 0 | 0 | 2,770 | 0.187453 |
2593b87aa1477b56a51e9ed6f2959196a21fd9b9 | 8,507 | py | Python | modelkit/assets/manager.py | tgenin/modelkit | 2c67b7e12575fa51221f713c2c094030228402ee | [
"MIT"
] | null | null | null | modelkit/assets/manager.py | tgenin/modelkit | 2c67b7e12575fa51221f713c2c094030228402ee | [
"MIT"
] | null | null | null | modelkit/assets/manager.py | tgenin/modelkit | 2c67b7e12575fa51221f713c2c094030228402ee | [
"MIT"
] | null | null | null | import os
import re
from typing import Union, cast
import filelock
from structlog import get_logger
from modelkit.assets import errors
from modelkit.assets.remote import RemoteAssetsStore
from modelkit.assets.settings import AssetsManagerSettings, AssetSpec
from modelkit.assets.versioning import (
VERSION_RE,
... | 41.296117 | 88 | 0.505231 | 8,035 | 0.944516 | 0 | 0 | 0 | 0 | 0 | 0 | 1,187 | 0.139532 |
2595bdd2cbc9598042685c93170a1adc72d0d989 | 2,303 | py | Python | Train/misc/DeepJetTrain_regr_class_dense_conv.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | 1 | 2019-11-12T01:51:30.000Z | 2019-11-12T01:51:30.000Z | Train/misc/DeepJetTrain_regr_class_dense_conv.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | null | null | null | Train/misc/DeepJetTrain_regr_class_dense_conv.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | 5 | 2017-11-03T15:51:27.000Z | 2019-05-29T14:45:23.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# some private extra plots
#from NBatchLogger import NBatchLogger
import matplotlib
#if no X11 use below
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
from keras import backend as K ... | 31.547945 | 162 | 0.776813 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 828 | 0.359531 |
25992567ed4a32a8d244b10358769547aa3cd880 | 1,783 | py | Python | node/gcn.py | TrueNobility303/Machine-Learning-Cora | 9e35ebfe8d4db20031aff8361e55af8a1404bc93 | [
"MIT"
] | 1 | 2021-07-04T04:25:15.000Z | 2021-07-04T04:25:15.000Z | node/gcn.py | TrueNobility303/Machine-Learning-Graph | 9e35ebfe8d4db20031aff8361e55af8a1404bc93 | [
"MIT"
] | null | null | null | node/gcn.py | TrueNobility303/Machine-Learning-Graph | 9e35ebfe8d4db20031aff8361e55af8a1404bc93 | [
"MIT"
] | 1 | 2021-07-30T03:18:59.000Z | 2021-07-30T03:18:59.000Z | import torch
from torch_geometric.datasets import Planetoid
import torch.nn.functional as F
from torch_geometric.nn import GCNConv
from torch_geometric.nn import GINConv,SAGEConv
from torch.nn import Linear,Sequential,BatchNorm1d,ReLU
device = torch.device('cuda:0')
class Net(torch.nn.Module):
def __init__(self,di... | 28.301587 | 74 | 0.632081 | 706 | 0.390271 | 0 | 0 | 0 | 0 | 0 | 0 | 338 | 0.186844 |
259ba1f2708bdca386f6f7be8aad800497a1495c | 6,893 | py | Python | src/data_loading.py | JuanitaSmith/ml_capstone_mailout_prediction | 30d1e1218107d05ab59afc38f51e4c7f3e1d287c | [
"CNRI-Python"
] | 1 | 2021-12-16T17:11:10.000Z | 2021-12-16T17:11:10.000Z | src/data_loading.py | JuanitaSmith/ml_capstone_mailout_prediction | 30d1e1218107d05ab59afc38f51e4c7f3e1d287c | [
"CNRI-Python"
] | null | null | null | src/data_loading.py | JuanitaSmith/ml_capstone_mailout_prediction | 30d1e1218107d05ab59afc38f51e4c7f3e1d287c | [
"CNRI-Python"
] | null | null | null | import pandas as pd
from src.config import path_raw, filename_levels, filename_attributes, filename_levels_sheet, filename_attributes_sheet, \
filename_customer_delimiter
def load_levels(filename, sheet):
"""
Load attribute information levels from excel into a dataframe
Args:
filename (st... | 38.294444 | 122 | 0.652691 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,101 | 0.449746 |
259bf22657fe2b0b15bb9d6863fe4331ffc37d73 | 5,486 | py | Python | src/tespy/components/basics/subsystem_interface.py | anmartens/tespy | 9a543d67cd8266c15cb9940ca640d6a8eda27a28 | [
"MIT"
] | 1 | 2020-02-25T08:41:03.000Z | 2020-02-25T08:41:03.000Z | src/tespy/components/basics/subsystem_interface.py | anmartens/tespy | 9a543d67cd8266c15cb9940ca640d6a8eda27a28 | [
"MIT"
] | null | null | null | src/tespy/components/basics/subsystem_interface.py | anmartens/tespy | 9a543d67cd8266c15cb9940ca640d6a8eda27a28 | [
"MIT"
] | null | null | null | # -*- coding: utf-8
"""Module for class SubsystemInterface.
This file is part of project TESPy (github.com/oemof/tespy). It's copyrighted
by the contributors recorded in the version control history of the file,
available from its original location
tespy/components/basics/subsystem_interface.py
SPDX-License-Identifi... | 33.248485 | 102 | 0.636165 | 5,028 | 0.916515 | 0 | 0 | 151 | 0.027525 | 0 | 0 | 4,025 | 0.733686 |
259d44dbda9ce86ab423e568cef5c1816855ebe3 | 6,820 | py | Python | sktime/transformations/series/outlier_detection.py | FedericoGarza/sktime | b21cdd81453abd34c72b42d4b2273b49d29eba30 | [
"BSD-3-Clause"
] | null | null | null | sktime/transformations/series/outlier_detection.py | FedericoGarza/sktime | b21cdd81453abd34c72b42d4b2273b49d29eba30 | [
"BSD-3-Clause"
] | null | null | null | sktime/transformations/series/outlier_detection.py | FedericoGarza/sktime | b21cdd81453abd34c72b42d4b2273b49d29eba30 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3 -u
# -*- coding: utf-8 -*-
# copyright: sktime developers, BSD-3-Clause License (see LICENSE file)
"""Implements transformers for detecting outliers in a time series."""
__author__ = ["aiwalter"]
__all__ = ["HampelFilter"]
import warnings
import numpy as np
import pandas as pd
from sktime.for... | 31.284404 | 88 | 0.590469 | 4,624 | 0.677807 | 0 | 0 | 563 | 0.082527 | 0 | 0 | 3,739 | 0.54808 |
259e11dd3aaf45645c9f959e012d62ca41044dc3 | 7,735 | py | Python | Self Replicating Insanity.py | smcclennon/SRI | 4883f6e20c012b3d52a11f49888e2553e2960539 | [
"MIT"
] | null | null | null | Self Replicating Insanity.py | smcclennon/SRI | 4883f6e20c012b3d52a11f49888e2553e2960539 | [
"MIT"
] | null | null | null | Self Replicating Insanity.py | smcclennon/SRI | 4883f6e20c012b3d52a11f49888e2553e2960539 | [
"MIT"
] | null | null | null | # Self Replicating Insanity
# github.com/smcclennon/SRI
project_title = 'SRI'
ver = '1.0.1'
# Insane mode (Windows only)
# Each replicated file will be ran in another console window,
# and each of the files ran will replicate and run everything agian
# Quickly sucks up ram, will most likely cause the machine to freez... | 44.2 | 164 | 0.382935 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,902 | 0.753936 |
259e2c5f61cd5489f4613bd21c2dec609dd81df0 | 1,012 | py | Python | main.py | PaulMakesStuff/RaspberryPiWeatherDisplay | d9507d9cf45ecd71b6d0a322033dd998d3843632 | [
"MIT"
] | 1 | 2021-03-06T16:03:56.000Z | 2021-03-06T16:03:56.000Z | main.py | PaulMakesStuff/RaspberryPiWeatherDisplay | d9507d9cf45ecd71b6d0a322033dd998d3843632 | [
"MIT"
] | null | null | null | main.py | PaulMakesStuff/RaspberryPiWeatherDisplay | d9507d9cf45ecd71b6d0a322033dd998d3843632 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import time
import signal
import buttonshim
from weather import displayWeather
import os
def flash_led(interval, times, r, g, b):
for i in range( times ):
buttonshim.set_pixel(r, g, b)
time.sleep( interval )
buttonshim.set_pixel(0, 0, 0)
time.sle... | 24.095238 | 42 | 0.652174 | 0 | 0 | 0 | 0 | 431 | 0.425889 | 0 | 0 | 59 | 0.0583 |
259ef3d9c03a15a85a5e68fc83639850d12d9247 | 3,057 | py | Python | size_constrained_clustering/shrinkage.py | vergilijus/size_constrained_clustering | be520ee0535b3f73d779e498a9046ef77d69355d | [
"MIT"
] | 26 | 2020-07-04T11:30:09.000Z | 2022-02-04T22:12:24.000Z | size_constrained_clustering/shrinkage.py | vergilijus/size_constrained_clustering | be520ee0535b3f73d779e498a9046ef77d69355d | [
"MIT"
] | 4 | 2020-07-04T14:50:49.000Z | 2022-03-23T22:09:08.000Z | size_constrained_clustering/shrinkage.py | vergilijus/size_constrained_clustering | be520ee0535b3f73d779e498a9046ef77d69355d | [
"MIT"
] | 15 | 2020-08-19T10:37:25.000Z | 2022-03-21T05:00:26.000Z | #!usr/bin/python 3.6
#-*-coding:utf-8-*-
'''
@file: shrinkage.py, shrinkage clustering
@Author: Jing Wang (jingw2@foxmail.com)
@Date: 06/24/2020
@Paper reference: Shrinkage Clustering: A fast and \
size-constrained clustering algorithm for biomedical applications
'''
import os
import sys
path = os.path.dirname(o... | 31.193878 | 111 | 0.57213 | 2,600 | 0.850507 | 0 | 0 | 0 | 0 | 0 | 0 | 1,030 | 0.336932 |
25a092bb2e72769fd405cdd4fba33e5a42c809e8 | 792 | py | Python | test.py | blurryface92/student-portal | aec15d6177c0c37ad815b2e63e4c8fa68dc8df53 | [
"MIT"
] | 1 | 2022-01-21T16:10:18.000Z | 2022-01-21T16:10:18.000Z | test.py | blurryface92/student-portal | aec15d6177c0c37ad815b2e63e4c8fa68dc8df53 | [
"MIT"
] | null | null | null | test.py | blurryface92/student-portal | aec15d6177c0c37ad815b2e63e4c8fa68dc8df53 | [
"MIT"
] | 1 | 2022-01-21T16:10:42.000Z | 2022-01-21T16:10:42.000Z | import json
from flask import Flask, request, jsonify,render_template
app=Flask(__name__)
with open("students.json") as f:
data = json.load(f)
@app.route('/home',methods=['GET','POST'])
def index():
if request.method == 'POST':
email = request.form['email']
password ... | 36 | 109 | 0.582071 | 0 | 0 | 0 | 0 | 605 | 0.763889 | 0 | 0 | 151 | 0.190657 |
25a0e9db9daf776824e6238029ee56df46f2c287 | 1,678 | py | Python | plot/plot_bins.py | jacobdeasy/flexible-ehr | ce26ce718cf5cf18a18d38f273a84324dbd5f4b2 | [
"MIT"
] | 12 | 2020-03-11T06:04:53.000Z | 2021-12-06T04:33:24.000Z | plot/plot_bins.py | jacobdeasy/flexible-ehr | ce26ce718cf5cf18a18d38f273a84324dbd5f4b2 | [
"MIT"
] | null | null | null | plot/plot_bins.py | jacobdeasy/flexible-ehr | ce26ce718cf5cf18a18d38f273a84324dbd5f4b2 | [
"MIT"
] | 1 | 2021-02-23T07:01:18.000Z | 2021-02-23T07:01:18.000Z | import argparse, numpy as np, os
import matplotlib as mpl, matplotlib.cm as cm, matplotlib.pyplot as plt
mpl.rcParams["axes.spines.right"] = False
mpl.rcParams["axes.spines.top"] = False
mpl.rc('font', family='serif')
def plot_bins(var, n_bins, bounds=None):
# Calculate percentiles
v = np.load(os.path.join('data', ... | 34.958333 | 89 | 0.670441 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 366 | 0.218117 |
25a2b693009d526ad09a5ccd2c4cb2a7e3d5b21d | 338 | py | Python | Demos/Module4/sets_finish.py | bdheard/PythonEssentials | 89aac7177a2f8802663bbbaed876e7554ccc739d | [
"MIT"
] | null | null | null | Demos/Module4/sets_finish.py | bdheard/PythonEssentials | 89aac7177a2f8802663bbbaed876e7554ccc739d | [
"MIT"
] | null | null | null | Demos/Module4/sets_finish.py | bdheard/PythonEssentials | 89aac7177a2f8802663bbbaed876e7554ccc739d | [
"MIT"
] | null | null | null | #
# sets
#
david_courses = {"History", "Music", "Arts", "Literature", "Calculus"}
james_courses = {"Biology", "Chemistry", "Physics", "Statistics", "Calculus"}
# intersection
print(david_courses.intersection(james_courses))
# difference
print(david_courses.difference(james_courses))
# union
print(david_courses.unio... | 21.125 | 77 | 0.745562 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 136 | 0.402367 |
25a339aa4cddbd0bc3c3654b51a81e46ed37cd4b | 283 | py | Python | tasks/aws.py | elieof/ansible-role-artifacts_to_s3 | 5e6a0f68c66c4714b0a7439c0eac2325e14a0a1a | [
"MIT"
] | null | null | null | tasks/aws.py | elieof/ansible-role-artifacts_to_s3 | 5e6a0f68c66c4714b0a7439c0eac2325e14a0a1a | [
"MIT"
] | null | null | null | tasks/aws.py | elieof/ansible-role-artifacts_to_s3 | 5e6a0f68c66c4714b0a7439c0eac2325e14a0a1a | [
"MIT"
] | null | null | null | import boto3
# client = boto3.client('s3')
# response = client.list_buckets()
# print(response)
s3 = boto3.resource('s3')
object_acl = s3.ObjectAcl('elieof-eoo','/artifacts/projects/autotest_artifacts_to_s3/releases/1.0.0/git_package.zip')
object_acl.put(ACL='authenticated-read') | 28.3 | 117 | 0.759717 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.681979 |
25a38ec4aea7b8a56416a4d31b2980a2324c2705 | 1,460 | py | Python | digsby/src/util/plistutil.py | ifwe/digsby | f5fe00244744aa131e07f09348d10563f3d8fa99 | [
"Python-2.0"
] | 35 | 2015-08-15T14:32:38.000Z | 2021-12-09T16:21:26.000Z | digsby/src/util/plistutil.py | niterain/digsby | 16a62c7df1018a49eaa8151c0f8b881c7e252949 | [
"Python-2.0"
] | 4 | 2015-09-12T10:42:57.000Z | 2017-02-27T04:05:51.000Z | digsby/src/util/plistutil.py | niterain/digsby | 16a62c7df1018a49eaa8151c0f8b881c7e252949 | [
"Python-2.0"
] | 15 | 2015-07-10T23:58:07.000Z | 2022-01-23T22:16:33.000Z | '''
Some tools to convert a .plist into python objects. Incomplete.
TODO: add load(s)/dump(s) functions to match the 'data shelving' interfaces of pickle, simplejson, pyyaml, etc.
'''
#_type_map = dict(real = (float, 'cdata'),
# integer = (int, 'cdata'),
# true ... | 27.54717 | 112 | 0.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 601 | 0.411644 |
25a6be76ef468185b1e4d897e0b9f7a388376eaf | 205 | py | Python | exercise5.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | 2 | 2022-01-13T15:55:58.000Z | 2022-02-11T23:18:34.000Z | exercise5.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | null | null | null | exercise5.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | null | null | null | # -*- Coding: utf-8 -*-
print("CONVERSOR DE REAL EM DÓLAR")
print("---------------------------")
r = float(input("Digite o valor em real(R$): "))
d = r / 5.54
print(f"Esse valor em dólar(U$) é: {d}")
| 18.636364 | 48 | 0.497561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.706731 |
25a7a3ffbbb7d6682b950f2f6c5f6f4d10c6c18c | 1,735 | py | Python | al_bench/__init__.py | Leengit/ALBench | 18d0ff19f4c954f69785cca91e11c45f87268698 | [
"Apache-2.0"
] | null | null | null | al_bench/__init__.py | Leengit/ALBench | 18d0ff19f4c954f69785cca91e11c45f87268698 | [
"Apache-2.0"
] | null | null | null | al_bench/__init__.py | Leengit/ALBench | 18d0ff19f4c954f69785cca91e11c45f87268698 | [
"Apache-2.0"
] | null | null | null | # ==========================================================================
#
# Copyright NumFOCUS
#
# 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/... | 45.657895 | 88 | 0.70951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,648 | 0.949856 |
25a8985013702867d298b80f39523be51b7e0efb | 17,761 | py | Python | nauta/nauta.py | fsadannn/nauta-cli | 7ab21fddcbf9cfc8db9a005e9ec883519637b524 | [
"MIT"
] | null | null | null | nauta/nauta.py | fsadannn/nauta-cli | 7ab21fddcbf9cfc8db9a005e9ec883519637b524 | [
"MIT"
] | null | null | null | nauta/nauta.py | fsadannn/nauta-cli | 7ab21fddcbf9cfc8db9a005e9ec883519637b524 | [
"MIT"
] | null | null | null | import os
import time
import logging
import logging.handlers
from typing import Dict, List, Union, Any, Optional
from requests import Session
import requests
from parsel import Selector
from .constants import NautaState, LogLevel, CONFIG
from .user_cls import User
from .utils import get_inputs, get_info, human_secs
fr... | 39.381375 | 139 | 0.557964 | 16,968 | 0.955244 | 350 | 0.019704 | 0 | 0 | 0 | 0 | 4,458 | 0.250971 |
25a8cb527fbad1a5590666d38407b531a7390a95 | 3,995 | py | Python | src/scripts/data_processing/fill_missing_values_with_interpolation.py | arnabbiswas1/k_tab_sept_roc_auc_binary_classification_KFold | 7a5a91e52d460fd25133b76d5241462a4aedc474 | [
"Apache-2.0"
] | null | null | null | src/scripts/data_processing/fill_missing_values_with_interpolation.py | arnabbiswas1/k_tab_sept_roc_auc_binary_classification_KFold | 7a5a91e52d460fd25133b76d5241462a4aedc474 | [
"Apache-2.0"
] | null | null | null | src/scripts/data_processing/fill_missing_values_with_interpolation.py | arnabbiswas1/k_tab_sept_roc_auc_binary_classification_KFold | 7a5a91e52d460fd25133b76d5241462a4aedc474 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
from sklearn.preprocessing import MinMaxScaler
import src.config.constants as constants
import src.common as common
import src.munging as process_data
import src.ts as ts_util
def reverse_min_max_scaling(logger, source_df, target_df, features, scaler_dict):
for name in features:
mm =... | 31.456693 | 98 | 0.624781 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 941 | 0.235544 |
25a912c6b85b838095734a453a49dc1d85038a60 | 2,112 | py | Python | stixcore/products/tests/test_bsd.py | i4Ds/STIXCore | 9a765a33f2e924ead669b9b99afc1e41a4d2d8e8 | [
"BSD-3-Clause"
] | 1 | 2022-03-31T13:42:43.000Z | 2022-03-31T13:42:43.000Z | stixcore/products/tests/test_bsd.py | i4Ds/STIXCore | 9a765a33f2e924ead669b9b99afc1e41a4d2d8e8 | [
"BSD-3-Clause"
] | 192 | 2020-11-03T22:40:19.000Z | 2022-03-31T15:17:13.000Z | stixcore/products/tests/test_bsd.py | i4Ds/STIXCore | 9a765a33f2e924ead669b9b99afc1e41a4d2d8e8 | [
"BSD-3-Clause"
] | 3 | 2020-11-09T15:05:18.000Z | 2022-01-21T07:52:51.000Z | import re
from unittest.mock import patch
import numpy as np
import pytest
from stixcore.data.test import test_data
from stixcore.products.level0 import scienceL0 as sl0
from stixcore.products.level1 import scienceL1 as sl1
testpackets = [(test_data.tmtc.TM_21_6_20_complete, sl0.RawPixelData, sl1.RawPixelData,
... | 44.93617 | 100 | 0.671875 | 0 | 0 | 0 | 0 | 921 | 0.43608 | 0 | 0 | 510 | 0.241477 |
25a9b4d8e6473092e7beb77c5938cbaa57f66a4a | 8,344 | py | Python | 3d_fitting/transfer2video_v3.py | duguqiankun/NeuralVoicePuppetry | 26b87d98a1ecfe6e4a6738641e6436ab1a9ece31 | [
"BSD-3-Clause"
] | null | null | null | 3d_fitting/transfer2video_v3.py | duguqiankun/NeuralVoicePuppetry | 26b87d98a1ecfe6e4a6738641e6436ab1a9ece31 | [
"BSD-3-Clause"
] | null | null | null | 3d_fitting/transfer2video_v3.py | duguqiankun/NeuralVoicePuppetry | 26b87d98a1ecfe6e4a6738641e6436ab1a9ece31 | [
"BSD-3-Clause"
] | 1 | 2021-12-21T08:20:34.000Z | 2021-12-21T08:20:34.000Z | import os
# os.environ['CUDA_VISIBLE_DEVICES'] = '6'
from facenet_pytorch import MTCNN
from core.options import ImageFittingOptions
import cv2
import face_alignment
import numpy as np
from core import get_recon_model
import os
import torch
import pickle
import core.utils as utils
import torch.nn as nn
imp... | 29.90681 | 186 | 0.590125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,226 | 0.146932 |
25ab2cfa339a691b746236596cac21c0e0e39942 | 200 | py | Python | examples/keys.py | notchxor/ueosio | 0169075c6814461932eb5ce30f851ef70401fb61 | [
"MIT"
] | 1 | 2020-06-19T00:08:25.000Z | 2020-06-19T00:08:25.000Z | examples/keys.py | notchxor/ueosio | 0169075c6814461932eb5ce30f851ef70401fb61 | [
"MIT"
] | null | null | null | examples/keys.py | notchxor/ueosio | 0169075c6814461932eb5ce30f851ef70401fb61 | [
"MIT"
] | null | null | null | from ueosio import gen_key_pair, get_pub_key
## Print Key Pair
print(gen_key_pair())
## Get Public Address from Private Key
print(get_pub_key('5KJfEtwkMBp8t5HtgGfFZVdiUJhDejS5sbiE5siMVe1xs6RQa6y'))
| 25 | 73 | 0.825 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.54 |
25ac8194d8ccbd9a09f074296efd798e9bbe2bfd | 132 | py | Python | PyTrinamic/ic/TMC2041/TMC2041_register_variant.py | trinamic-AA/PyTrinamic | b054f4baae8eb6d3f5d2574cf69c232f66abb4ee | [
"MIT"
] | 37 | 2019-01-13T11:08:45.000Z | 2022-03-25T07:18:15.000Z | PyTrinamic/ic/TMC2041/TMC2041_register_variant.py | AprDec/PyTrinamic | a9db10071f8fbeebafecb55c619e5893757dd0ce | [
"MIT"
] | 56 | 2019-02-25T02:48:27.000Z | 2022-03-31T08:45:34.000Z | PyTrinamic/ic/TMC2041/TMC2041_register_variant.py | AprDec/PyTrinamic | a9db10071f8fbeebafecb55c619e5893757dd0ce | [
"MIT"
] | 26 | 2019-01-14T05:20:16.000Z | 2022-03-08T13:27:35.000Z | '''
Created on 24.10.2019
@author: JM
'''
class TMC2041_register_variant:
" ===== TMC2041 register variants ===== "
"..." | 13.2 | 45 | 0.583333 | 88 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0.666667 |
25afa92abc41404c658c8f5eea275176109abd43 | 11,308 | py | Python | prune_layer_v5_weightingByKernel.py | bolifeyo/Pruned-YOLO | fc1b7203fdb8a4fb8eda8491e5ad2683eab5d159 | [
"Apache-2.0"
] | 33 | 2021-03-18T11:34:14.000Z | 2021-12-28T06:21:47.000Z | prune_layer_v5_weightingByKernel.py | bolifeyo/Pruned-YOLO | fc1b7203fdb8a4fb8eda8491e5ad2683eab5d159 | [
"Apache-2.0"
] | 10 | 2021-03-19T03:35:26.000Z | 2022-01-11T06:30:18.000Z | prune_layer_v5_weightingByKernel.py | bolifeyo/Pruned-YOLO | fc1b7203fdb8a4fb8eda8491e5ad2683eab5d159 | [
"Apache-2.0"
] | 10 | 2021-03-24T11:55:46.000Z | 2022-01-23T03:38:06.000Z | import argparse
import torch.nn.functional as F
import torch.optim.lr_scheduler as lr_scheduler
import torch.utils.data
import torch.nn as nn
import test # import test.py to get mAP after each epoch
from models.yolo import *
from models.experimental import *
from models.common import *
from utils.datasets import *
fr... | 46.921162 | 164 | 0.624337 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,767 | 0.156261 |
25afbfde05c67785ccd3dc5ab3cf731469a73398 | 23,741 | py | Python | shirp/handler.py | cedricg92/event-manager | d07fafe88dca06a4d1a07e2a368122b0fb18ccfd | [
"Apache-2.0"
] | null | null | null | shirp/handler.py | cedricg92/event-manager | d07fafe88dca06a4d1a07e2a368122b0fb18ccfd | [
"Apache-2.0"
] | null | null | null | shirp/handler.py | cedricg92/event-manager | d07fafe88dca06a4d1a07e2a368122b0fb18ccfd | [
"Apache-2.0"
] | null | null | null | import datetime
import fnmatch
import gzip
import shutil
import tarfile
import time
import croniter
import hdfs
from watchdog.events import PatternMatchingEventHandler, FileCreatedEvent, FileModifiedEvent, FileMovedEvent, os, \
FileSystemEvent
def add_log_str(log_pattern, strlog):
"""Add log in logfile
... | 39.241322 | 119 | 0.614212 | 21,930 | 0.923718 | 0 | 0 | 0 | 0 | 0 | 0 | 7,148 | 0.301083 |
25b040492768293a10b1f4bb4b453755073193ce | 7,907 | py | Python | dialogue.py | Maxzolythus/Badmoon-Working-Title-pre-alpha-I-hate-that-word- | f90068d670432a5c32a0d0938529968e1da375c8 | [
"CC0-1.0"
] | null | null | null | dialogue.py | Maxzolythus/Badmoon-Working-Title-pre-alpha-I-hate-that-word- | f90068d670432a5c32a0d0938529968e1da375c8 | [
"CC0-1.0"
] | null | null | null | dialogue.py | Maxzolythus/Badmoon-Working-Title-pre-alpha-I-hate-that-word- | f90068d670432a5c32a0d0938529968e1da375c8 | [
"CC0-1.0"
] | null | null | null | """
Full of social stuff with the other characters
Up ur social links
dialogue.py
Max Ferguson
"""
from main import *
sLink = {"Steve": 0, "Zara": 0, "Aeyden": 0, "Emil": 0, "Douche": 0, "Diana": 0, "Cheryl": 0, "Hiram": 0, "Eduardo": 0}
def steve(place, sLink, stats, name, pronouns):
"""
"Dykey" cis Werewol... | 38.950739 | 119 | 0.554825 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,021 | 0.635007 |
25b0c94c1b7162ba39eb9ea90001ad594220bda8 | 2,417 | py | Python | tests/test_status.py | tbartelmess/python-nomad | 3ddbf904af2947992722a9dcf58c23eb0078fc8f | [
"MIT"
] | null | null | null | tests/test_status.py | tbartelmess/python-nomad | 3ddbf904af2947992722a9dcf58c23eb0078fc8f | [
"MIT"
] | null | null | null | tests/test_status.py | tbartelmess/python-nomad | 3ddbf904af2947992722a9dcf58c23eb0078fc8f | [
"MIT"
] | null | null | null | import pytest
import tests.common as common
import nomad
import sys
@pytest.fixture
def nomad_setup():
n = nomad.Nomad(host=common.IP, port=common.NOMAD_PORT, verify=False, token=common.NOMAD_TOKEN)
return n
# integration tests requires nomad Vagrant VM or Binary running
def test_get_leader(nomad_setup):
... | 28.435294 | 99 | 0.733968 | 0 | 0 | 0 | 0 | 147 | 0.060819 | 0 | 0 | 184 | 0.076127 |
25b158d89271f5b65a9c02d9dbc2083e03cdfb9a | 154 | py | Python | enums/Matiere.py | ythepaut/visi301_univdefender | 13f0e564ad3265aabf77544755873b8584d296de | [
"CC-BY-3.0"
] | 7 | 2019-10-08T15:48:18.000Z | 2021-07-06T13:20:54.000Z | enums/Matiere.py | ythepaut/visi301_univdefender | 13f0e564ad3265aabf77544755873b8584d296de | [
"CC-BY-3.0"
] | null | null | null | enums/Matiere.py | ythepaut/visi301_univdefender | 13f0e564ad3265aabf77544755873b8584d296de | [
"CC-BY-3.0"
] | 3 | 2019-10-08T15:47:55.000Z | 2019-12-13T23:28:12.000Z | """Module Enum:Matiere"""
from enum import Enum
class Matiere(Enum):
"""Enum : Matiere"""
HISTOIRE = 0
MATHS = 1
INFO = 2
SPORT = 3
| 14 | 25 | 0.571429 | 103 | 0.668831 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.292208 |
25b171c31a40f6d8668db31079821a30e464b8d6 | 155 | py | Python | tests/plugins/viz/conftest.py | andrsd/otter | 3d47d4ad433b5e7bd1a1d5fed45b4950de14c25f | [
"MIT"
] | null | null | null | tests/plugins/viz/conftest.py | andrsd/otter | 3d47d4ad433b5e7bd1a1d5fed45b4950de14c25f | [
"MIT"
] | 30 | 2020-02-25T13:29:59.000Z | 2022-01-07T20:19:05.000Z | tests/plugins/viz/conftest.py | andrsd/otter | 3d47d4ad433b5e7bd1a1d5fed45b4950de14c25f | [
"MIT"
] | null | null | null | import pytest
@pytest.fixture
def viz_plugin(qtbot):
from otter.plugins.viz.VizPlugin import VizPlugin
plugin = VizPlugin(None)
yield plugin
| 17.222222 | 53 | 0.748387 | 0 | 0 | 122 | 0.787097 | 138 | 0.890323 | 0 | 0 | 0 | 0 |
25b188508f38bd8df1c9c5cddf7b6a70e5657a2c | 10,338 | py | Python | get_data_thomson.py | fusion-flap/flap_nstx_gpi | cf7d4bdecea8fd7434f8f7eb64e1a7b13fc0f759 | [
"MIT"
] | null | null | null | get_data_thomson.py | fusion-flap/flap_nstx_gpi | cf7d4bdecea8fd7434f8f7eb64e1a7b13fc0f759 | [
"MIT"
] | null | null | null | get_data_thomson.py | fusion-flap/flap_nstx_gpi | cf7d4bdecea8fd7434f8f7eb64e1a7b13fc0f759 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 5 18:24:43 2020
@author: mlampert
"""
import os
import copy
#FLAP imports and settings
import flap
import flap_mdsplus
flap_mdsplus.register('NSTX_MDSPlus')
thisdir = os.path.dirname(os.path.realpath(__file__))
fn = os.path.join(thisdir,"flap_ns... | 42.368852 | 128 | 0.523796 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,550 | 0.246663 |
25b2dee9cd1192a7a5e75e961aa831313600a105 | 1,351 | py | Python | res/007-itertools.py | leialbert/keep-learning-python | 7bbf2226e6e99e87661f15ea46e6149b61d9912f | [
"MIT"
] | null | null | null | res/007-itertools.py | leialbert/keep-learning-python | 7bbf2226e6e99e87661f15ea46e6149b61d9912f | [
"MIT"
] | null | null | null | res/007-itertools.py | leialbert/keep-learning-python | 7bbf2226e6e99e87661f15ea46e6149b61d9912f | [
"MIT"
] | null | null | null | from itertools import product
a = [1,2]
b = [3,4]
c = [4]
prd = product(a,b)
print(prd)
print(list(prd))
prd = product(a,c,repeat=2)
print(list(prd))
from itertools import permutations
a = [1,2,3]
per = permutations(a)
print(list(per))
a = [1,2,3]
per = permutations(a,2)
print(list(per))
from itertools import combi... | 18.256757 | 57 | 0.665433 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 207 | 0.15322 |
25b43442eeb848a6a93a6d999d5f0e66f89b810e | 1,234 | py | Python | searches/depth_first_search.py | exterkamps/Python-Data-Structures | 8594ed934edeaded4866999932384d12fb4519c3 | [
"Apache-2.0"
] | 3 | 2018-10-15T17:38:29.000Z | 2021-03-24T02:55:46.000Z | searches/depth_first_search.py | exterkamp/Python-Data-Structures | 8594ed934edeaded4866999932384d12fb4519c3 | [
"Apache-2.0"
] | null | null | null | searches/depth_first_search.py | exterkamp/Python-Data-Structures | 8594ed934edeaded4866999932384d12fb4519c3 | [
"Apache-2.0"
] | null | null | null | def depth_first_search(grid, start, target):
"""
Search a 2d grid for a given target starting at start.
Args:
grid: the input grid as a List[List]
start: the start grid in format (x,y) zero index
target: the target value to find in the grid
Returns:
Coordinate of the tar... | 29.380952 | 130 | 0.548622 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 344 | 0.278768 |
25b4f049fb62cc24f11e54dc8fc2ba379ccfdcb5 | 3,634 | py | Python | test_bear_todo_counter.py | attomos/bear_todo_counter | 4a42955f6a76f25cc4fdcdba3fe6dd79dcfeb217 | [
"MIT"
] | 1 | 2019-07-27T14:51:45.000Z | 2019-07-27T14:51:45.000Z | test_bear_todo_counter.py | attomos/bear_todo_counter | 4a42955f6a76f25cc4fdcdba3fe6dd79dcfeb217 | [
"MIT"
] | null | null | null | test_bear_todo_counter.py | attomos/bear_todo_counter | 4a42955f6a76f25cc4fdcdba3fe6dd79dcfeb217 | [
"MIT"
] | null | null | null | from bear_todo_counter import append_todo_count
def test_simple_todo():
txt = """\
Tasks
+ Task one
- Task two
- Task three"""
actual = append_todo_count(txt)
expected = """\
Tasks [1/3]
+ Task one
- Task two
- Task three"""
assert actual == expected
def test_todo_with_emoji():
txt = """\
Tasks ... | 21.00578 | 171 | 0.635938 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,516 | 0.676344 |
25b56d59ee51fe287acc9555362e89eb0880dd7a | 8,915 | py | Python | ibmcli/tests/unit/test_api.py | powellquiring/pycli | ecc5beec84833b978dfa41259ab3ac306617fc55 | [
"Apache-2.0"
] | null | null | null | ibmcli/tests/unit/test_api.py | powellquiring/pycli | ecc5beec84833b978dfa41259ab3ac306617fc55 | [
"Apache-2.0"
] | 2 | 2021-04-06T18:19:56.000Z | 2021-06-02T03:28:55.000Z | ibmcli/tests/unit/test_api.py | powellquiring/pycli | ecc5beec84833b978dfa41259ab3ac306617fc55 | [
"Apache-2.0"
] | null | null | null | import ibmcli
import re
def test_plugin_list():
example_output = """Listing installed plug-ins...
Plugin Name Version Status
dev 2.4.0
cloud-functions/wsk/functions/fn 1.0.35
container-service/kubernetes-service 0.4.38 ... | 51.531792 | 271 | 0.636455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,660 | 0.747056 |
25b8845e4d182b367e71bf9679fb75ef834e9cbd | 2,228 | py | Python | Chapter13/final/bookr/reviews/tests.py | PacktPublishing/Web-Development-Projects-with-Django | 531bc4d58d614888cc81b7fd6f8ec859f5a65217 | [
"MIT"
] | 97 | 2021-03-01T12:54:30.000Z | 2022-03-28T02:57:26.000Z | Chapter13/final/bookr/reviews/tests.py | PacktPublishing/Web-Development-Projects-with-Django | 531bc4d58d614888cc81b7fd6f8ec859f5a65217 | [
"MIT"
] | 81 | 2020-08-27T04:56:04.000Z | 2022-03-12T00:53:40.000Z | Chapter13/final/bookr/reviews/tests.py | PacktPublishing/Web-Development-Projects-with-Django | 531bc4d58d614888cc81b7fd6f8ec859f5a65217 | [
"MIT"
] | 163 | 2020-12-25T14:38:38.000Z | 2022-03-30T10:31:40.000Z | import os
from django.conf import settings
from django.test import TestCase, Client
from django.utils import timezone
from reviews.models import Book, Publisher
class Activity2Test(TestCase):
@classmethod
def setUpTestData(cls):
p = Publisher.objects.create(name='Test Publisher')
Book.object... | 40.509091 | 120 | 0.666517 | 2,062 | 0.925494 | 0 | 0 | 193 | 0.086625 | 0 | 0 | 768 | 0.344704 |
25bc4ad308584b1f25deefeed2a0843dc4fbf607 | 955 | py | Python | django/devbot/project/urls.py | blitzagency/django-chatterbox | 7bf17444f8308aa12b6718bd62ee1344021c21aa | [
"MIT"
] | 8 | 2015-03-10T20:03:09.000Z | 2018-06-14T23:03:58.000Z | django/devbot/project/urls.py | blitzagency/django-chatterbox | 7bf17444f8308aa12b6718bd62ee1344021c21aa | [
"MIT"
] | 3 | 2015-07-14T22:44:47.000Z | 2020-06-05T23:43:05.000Z | django/devbot/project/urls.py | blitzagency/django-chatterbox | 7bf17444f8308aa12b6718bd62ee1344021c21aa | [
"MIT"
] | null | null | null | from django.conf import settings
from django.conf.urls import include, patterns, url
from django.contrib import admin
from django.views.generic import TemplateView
admin.autodiscover()
urlpatterns = patterns(
'',
(r'^grappelli/', include('grappelli.urls')),
(r'^chatterbox/', include('chatterbox.urls', nam... | 32.931034 | 76 | 0.653403 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 0.361257 |
25bcf1ca297f8201e6f00eeb98ba8123ff5c8130 | 1,753 | py | Python | graph_embeddings/models/complex.py | navidmdn/Multi-hop-qa-rl | 81ac9c2b4a37bd9a18dea3980624e338f4b16b4a | [
"MIT"
] | null | null | null | graph_embeddings/models/complex.py | navidmdn/Multi-hop-qa-rl | 81ac9c2b4a37bd9a18dea3980624e338f4b16b4a | [
"MIT"
] | null | null | null | graph_embeddings/models/complex.py | navidmdn/Multi-hop-qa-rl | 81ac9c2b4a37bd9a18dea3980624e338f4b16b4a | [
"MIT"
] | null | null | null | from graph_embeddings.models.embedding_model import EmbeddingModel
import torch
class ComplEx(EmbeddingModel):
def __init__(self, data_loader, entity_dim, rel_dim, loss_type,
device, do_batch_norm, **kwargs):
super(ComplEx, self).__init__(
data_loader, entity_dim, rel_dim, los... | 37.297872 | 105 | 0.634912 | 1,670 | 0.952653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
25be2dc9f7c0978f0a272dbf62277c5be22a8d3f | 1,921 | py | Python | aiopika_macrobase/rpc/endpoint.py | mbcores/aiopika-macrobase | a3351b9eed3cc80995070675d99e7e68022b65d9 | [
"MIT"
] | null | null | null | aiopika_macrobase/rpc/endpoint.py | mbcores/aiopika-macrobase | a3351b9eed3cc80995070675d99e7e68022b65d9 | [
"MIT"
] | 1 | 2020-08-06T07:42:48.000Z | 2020-08-06T07:42:48.000Z | aiopika_macrobase/rpc/endpoint.py | mbcores/aiopika-macrobase | a3351b9eed3cc80995070675d99e7e68022b65d9 | [
"MIT"
] | 3 | 2020-04-07T10:02:16.000Z | 2021-07-08T05:16:11.000Z | from macrobase_driver.logging import set_request_id
from sentry_sdk import capture_exception
from .request import RPCRequest, RPCResponse, RPCMessageType
from ..endpoint import AiopikaEndpoint
from ..result import AiopikaResult
from aio_pika import IncomingMessage
from structlog import get_logger
log = get_logger('m... | 35.574074 | 101 | 0.690265 | 1,563 | 0.813639 | 0 | 0 | 0 | 0 | 1,404 | 0.730869 | 629 | 0.327434 |
25be66a44bc977c43292b8dbb8604562501b636d | 23,766 | py | Python | FWCore/Framework/test/test_module_delete_subprocess_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 5 | 2020-07-02T19:05:26.000Z | 2022-02-25T14:37:09.000Z | FWCore/Framework/test/test_module_delete_subprocess_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 524 | 2018-01-29T15:50:45.000Z | 2021-08-04T14:03:21.000Z | FWCore/Framework/test/test_module_delete_subprocess_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 8 | 2020-06-08T16:28:54.000Z | 2021-11-16T14:40:00.000Z | import FWCore.ParameterSet.Config as cms
process = cms.Process("A")
process.maxEvents.input = 8
process.source = cms.Source("EmptySource")
#process.Tracer = cms.Service("Tracer")
# Process tree
# A (Process)
# ^
# \- B
# | ^
# | \- BA
# |
# \- C
# |
# \- D
# ^
# \- DA
# Cases to test
# - event/lumi/run/pro... | 44.256983 | 162 | 0.79963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,664 | 0.238324 |
25bf347b5a170666d625bcf8fa70e4e815aea2e9 | 511 | py | Python | src/lithopscloud/modules/gen2/lithops/image.py | Cohen-J-Omer/lithopscloud | bc897ae3952e0faca42581846a8b3169a0b5b49f | [
"Apache-2.0"
] | 2 | 2021-08-22T04:36:34.000Z | 2021-11-08T16:02:57.000Z | src/lithopscloud/modules/gen2/lithops/image.py | Cohen-J-Omer/lithopscloud | bc897ae3952e0faca42581846a8b3169a0b5b49f | [
"Apache-2.0"
] | null | null | null | src/lithopscloud/modules/gen2/lithops/image.py | Cohen-J-Omer/lithopscloud | bc897ae3952e0faca42581846a8b3169a0b5b49f | [
"Apache-2.0"
] | 1 | 2021-08-22T08:45:19.000Z | 2021-08-22T08:45:19.000Z | from typing import Any, Dict
from lithopscloud.modules.gen2.image import ImageConfig
class LithopsImageConfig(ImageConfig):
def __init__(self, base_config: Dict[str, Any]) -> None:
super().__init__(base_config)
self.defaults['image_id'] = base_config['ibm_vpc'].get('image_id')
def update_c... | 34.066667 | 84 | 0.733855 | 422 | 0.825832 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0.154599 |
25c058848ef8c6856f73ea330d8c5a94d4371927 | 85 | py | Python | overtrick/pairs/apps.py | katemakescode/overtrick | d5a324e4fe28e82de9703e80c12891a5c2ec4dbe | [
"MIT"
] | null | null | null | overtrick/pairs/apps.py | katemakescode/overtrick | d5a324e4fe28e82de9703e80c12891a5c2ec4dbe | [
"MIT"
] | null | null | null | overtrick/pairs/apps.py | katemakescode/overtrick | d5a324e4fe28e82de9703e80c12891a5c2ec4dbe | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class PairsConfig(AppConfig):
name = 'pairs'
| 14.166667 | 33 | 0.741176 | 48 | 0.564706 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0.082353 |
25c10987a4ba7935613dd91db86e1f9e7f66e461 | 1,640 | py | Python | superRes_Train/test.py | abhijitramesh/Eagle-eye | a79f6a1a6d7f2c887cc98f7afb7c6dbe823c7cee | [
"Apache-2.0"
] | 2 | 2021-02-15T14:58:19.000Z | 2021-02-17T22:51:34.000Z | superRes_Train/test.py | abhijitramesh/Eagle-eye | a79f6a1a6d7f2c887cc98f7afb7c6dbe823c7cee | [
"Apache-2.0"
] | null | null | null | superRes_Train/test.py | abhijitramesh/Eagle-eye | a79f6a1a6d7f2c887cc98f7afb7c6dbe823c7cee | [
"Apache-2.0"
] | null | null | null | import torch
from utils import *
from PIL import Image, ImageDraw, ImageFont
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def super_res(img):
## SRRESNET
srresnet_checkpoint = "./checkpoint_srresnet.pth.tar"
srresnet = torch.load(srresnet_checkpoint,map_location=device)['model']
... | 34.166667 | 119 | 0.70122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 349 | 0.212805 |
25c1eb5997e281f0e9cff107c934f0f8dbe2e2eb | 13,571 | py | Python | src/jsleakcheck.py | Letractively/leak-finder-for-javascript | 3a6c872313dc94d9f5c71950d30b14c01d63078c | [
"Apache-2.0"
] | null | null | null | src/jsleakcheck.py | Letractively/leak-finder-for-javascript | 3a6c872313dc94d9f5c71950d30b14c01d63078c | [
"Apache-2.0"
] | null | null | null | src/jsleakcheck.py | Letractively/leak-finder-for-javascript | 3a6c872313dc94d9f5c71950d30b14c01d63078c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2012 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 by... | 36.877717 | 80 | 0.663179 | 7,283 | 0.536659 | 0 | 0 | 0 | 0 | 0 | 0 | 6,565 | 0.483752 |
25c22b5ef0da2b64f093b2f009b804a76def2bb9 | 1,298 | py | Python | map/header.py | WhereGroup/mapconverter | cd0aa5f533194c85cf6e098fadc079ea61b63fce | [
"MIT"
] | 9 | 2020-05-13T13:45:54.000Z | 2022-03-30T10:43:45.000Z | map/header.py | WhereGroup/mapconverter | cd0aa5f533194c85cf6e098fadc079ea61b63fce | [
"MIT"
] | 4 | 2020-09-09T10:01:08.000Z | 2022-01-15T17:59:11.000Z | map/header.py | WhereGroup/mapconverter | cd0aa5f533194c85cf6e098fadc079ea61b63fce | [
"MIT"
] | 1 | 2022-03-16T17:08:16.000Z | 2022-03-16T17:08:16.000Z | # coding=utf-8
def create_header(xml_document, arc_doc_info):
""" Creates the Header in the DOM
:param xml_document: The DOM / Document for writing the QGIS-File
:return: the header element in the DOM
"""
header_element = xml_document.createElement("qgis")
header_element.setAttribute("projectna... | 41.870968 | 89 | 0.782743 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 309 | 0.237875 |
25c357277c48f76703f9498b78790dfaeab86dcd | 488 | py | Python | easyai/tasks/utility/base_test.py | lpj0822/image_point_cloud_det | 7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f | [
"MIT"
] | 1 | 2020-09-05T09:18:56.000Z | 2020-09-05T09:18:56.000Z | easyai/tasks/utility/base_test.py | lpj0822/image_point_cloud_det | 7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f | [
"MIT"
] | 8 | 2020-04-20T02:18:55.000Z | 2022-03-12T00:24:50.000Z | easyai/tasks/utility/base_test.py | lpj0822/image_point_cloud_det | 7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:
import abc
from easyai.helper.timer_process import TimerProcess
from easyai.tasks.utility.base_task import BaseTask
class BaseTest(BaseTask):
def __init__(self, config_path):
super().__init__()
self.timer = TimerProcess()
self.config... | 20.333333 | 52 | 0.678279 | 313 | 0.641393 | 0 | 0 | 136 | 0.278689 | 0 | 0 | 52 | 0.106557 |
25c460aba52525705ae564ecd9a987d6cd1c6003 | 8,755 | py | Python | populous/media/models.py | caiges/populous | d07094f9d6b2528d282ed99af0063002480bc00b | [
"BSD-3-Clause"
] | 2 | 2016-05-09T01:17:08.000Z | 2017-07-18T23:35:01.000Z | populous/media/models.py | caiges/populous | d07094f9d6b2528d282ed99af0063002480bc00b | [
"BSD-3-Clause"
] | null | null | null | populous/media/models.py | caiges/populous | d07094f9d6b2528d282ed99af0063002480bc00b | [
"BSD-3-Clause"
] | null | null | null | from django.db import models
from django.utils.html import strip_tags
from django.utils.translation import ugettext_lazy as _
from django.contrib.sites.managers import CurrentSiteManager
from django.contrib.sites.models import Site
from populous.filebrowser.fields import FileBrowseField
from populous.staff.models impo... | 42.916667 | 282 | 0.672073 | 7,988 | 0.912393 | 0 | 0 | 0 | 0 | 0 | 0 | 2,266 | 0.258824 |
25c4d04411b12679ad3412cf2a77df2f6285b638 | 1,580 | py | Python | day9/flask_day3/sqlalchemy_demo1/demo4.py | gaohj/wh1904js | a3af38f8311f79eb9f2e08a3de16dd1e02c40714 | [
"Apache-2.0"
] | null | null | null | day9/flask_day3/sqlalchemy_demo1/demo4.py | gaohj/wh1904js | a3af38f8311f79eb9f2e08a3de16dd1e02c40714 | [
"Apache-2.0"
] | null | null | null | day9/flask_day3/sqlalchemy_demo1/demo4.py | gaohj/wh1904js | a3af38f8311f79eb9f2e08a3de16dd1e02c40714 | [
"Apache-2.0"
] | null | null | null | from sqlalchemy import (
create_engine,
Column,
Integer,
String,
Float,
Boolean,
DECIMAL,
Enum,
DateTime,
DATE,
Time,
Text
)
from sqlalchemy.dialects.mysql import LONGTEXT
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker # 这是... | 24.6875 | 103 | 0.703165 | 604 | 0.332966 | 0 | 0 | 0 | 0 | 0 | 0 | 792 | 0.436604 |
25c5027aeec82d81b35c8aa9d76e300f3294343e | 5,378 | py | Python | publications/2021-al-generator-lulc/scripts/results.py | joaopfonseca/research | 02659512218d077d9ef28d481178e62172ef18cd | [
"MIT"
] | 1 | 2021-01-25T00:09:32.000Z | 2021-01-25T00:09:32.000Z | publications/2021-al-generator-lulc/scripts/results.py | joaopfonseca/research | ac4ad6fa05b5985050c63dc9e4e18cd00965e09b | [
"MIT"
] | 20 | 2021-12-10T11:54:59.000Z | 2022-03-18T17:55:33.000Z | publications/2021-al-generator-lulc/scripts/results.py | joaopfonseca/research | ac4ad6fa05b5985050c63dc9e4e18cd00965e09b | [
"MIT"
] | null | null | null | """
Generate the main experimental results.
"""
# Author: Joao Fonseca <jpmrfonseca@gmail.com>
# Georgios Douzas <gdouzas@icloud.com>
# License: MIT
from os.path import join
import pandas as pd
from sklearn.linear_model import LogisticRegression
from sklearn.neighbors import KNeighborsClassifier
from sklearn.... | 28.305263 | 88 | 0.598364 | 488 | 0.09074 | 0 | 0 | 0 | 0 | 0 | 0 | 1,236 | 0.229825 |
25c6233c949be37003df81cd078a37810b00f6ff | 2,411 | py | Python | recovery/TopoMADSrc/src/train.py | imperial-qore/CAROL | 57dc42c4ddeb9e75eed43a91ceb336a1ecc9c8b9 | [
"BSD-3-Clause"
] | 1 | 2022-03-19T16:37:40.000Z | 2022-03-19T16:37:40.000Z | recovery/TopoMADSrc/src/train.py | imperial-qore/CAROL | 57dc42c4ddeb9e75eed43a91ceb336a1ecc9c8b9 | [
"BSD-3-Clause"
] | null | null | null | recovery/TopoMADSrc/src/train.py | imperial-qore/CAROL | 57dc42c4ddeb9e75eed43a91ceb336a1ecc9c8b9 | [
"BSD-3-Clause"
] | null | null | null | from .constants import *
from .utils import *
import torch.nn as nn
from tqdm import tqdm
from .plotter import *
anomaly_loss = nn.MSELoss(reduction = 'none')
mse_loss = nn.MSELoss(reduction = 'mean')
def custom_loss(model, pred_state, true_state, thresholds):
aloss = mse_loss(pred_state.view(-1), torch.tensor(true_... | 41.568966 | 125 | 0.705931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.048528 |
25c8813ed4ae67c3e35bea39915c2befdf4b00ec | 1,498 | py | Python | curation_projects/sites/sarit/main.py | sanskrit-coders/doc_curation | 6da4cab5d97232b84b2a656becca9136da13a00b | [
"MIT"
] | 7 | 2020-04-25T08:55:55.000Z | 2020-12-21T05:31:00.000Z | curation_projects/sites/sarit/main.py | sanskrit-coders/doc_curation | 6da4cab5d97232b84b2a656becca9136da13a00b | [
"MIT"
] | 15 | 2020-04-25T08:31:42.000Z | 2021-07-24T12:23:42.000Z | curation_projects/sites/sarit/main.py | sanskrit-coders/doc_curation | 6da4cab5d97232b84b2a656becca9136da13a00b | [
"MIT"
] | 4 | 2020-04-25T06:28:37.000Z | 2020-12-19T21:30:10.000Z | import logging
import os
from pathlib import Path
from curation_utils.file_helper import clear_bad_chars
from doc_curation import tei
from doc_curation.md.file import MdFile
def dump_sarit_markdown(src_dir, dest_dir):
file_paths = sorted(Path(src_dir).glob("*.xml"))
for file_path in file_paths:
file_path = s... | 48.322581 | 249 | 0.755007 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 844 | 0.563418 |
25c9be0aa40c9cc11065bccf3512fe3ff60fb71c | 1,193 | py | Python | Model/Characteristics.py | ProjectBlackFalcon/DatBot | 8b2cc64af78757b832d8bc6a1373fb74b7a4316f | [
"MIT"
] | 7 | 2017-11-22T13:28:41.000Z | 2019-10-17T08:47:40.000Z | Model/Characteristics.py | ProjectBlackFalcon/DatBot | 8b2cc64af78757b832d8bc6a1373fb74b7a4316f | [
"MIT"
] | 3 | 2018-10-07T15:59:34.000Z | 2019-01-15T11:56:18.000Z | Model/Characteristics.py | ProjectBlackFalcon/DatBot | 8b2cc64af78757b832d8bc6a1373fb74b7a4316f | [
"MIT"
] | null | null | null | class Characteristics:
def __init__(self):
self.level = None
self.xp = None
self.xp_next_level_floor = None
self.weight = None
self.weight_max = None
self.health_percent = None
self.jobs = None
self.vi = None
self.int = None
self.agi ... | 29.825 | 118 | 0.52808 | 1,192 | 0.999162 | 0 | 0 | 0 | 0 | 0 | 0 | 164 | 0.137469 |
25c9dfc31337ec370a3cc01b5ad5fd8eda8cf639 | 285 | py | Python | deca/cmds/process_rtpc.py | kk49/deca | 8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae | [
"MIT"
] | 50 | 2019-06-05T04:01:04.000Z | 2022-03-05T14:56:43.000Z | deca/cmds/process_rtpc.py | kk49/deca | 8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae | [
"MIT"
] | 115 | 2019-03-27T13:34:00.000Z | 2022-03-11T23:43:12.000Z | deca/cmds/process_rtpc.py | kk49/deca | 8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae | [
"MIT"
] | 13 | 2020-01-25T01:15:49.000Z | 2022-02-08T02:20:05.000Z | import sys
from deca.ff_rtpc import Rtpc
class FakeVfs:
def hash_string_match(self, hash32=None, hash48=None, hash64=None):
return []
in_file = sys.argv[1]
with open(in_file, 'rb') as f:
rtpc = Rtpc()
rtpc.deserialize(f)
print(rtpc.dump_to_string(FakeVfs()))
| 16.764706 | 71 | 0.684211 | 104 | 0.364912 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0.014035 |
25cc917b26808f7902aee415f3383c9b04b96aba | 5,328 | py | Python | apps/v1api/views/contract.py | ekivemark/BlueButtonFHIR_API | 9b5d9ca92b1e5ff0e9de046c87596ff3d5e66eef | [
"Apache-2.0"
] | 5 | 2016-03-02T23:25:39.000Z | 2020-10-29T07:28:42.000Z | apps/v1api/views/contract.py | HowardEdidin/BlueButtonFHIR_API | b8433055507bcc334f70bc864eacd379a04f69db | [
"Apache-2.0"
] | 13 | 2020-02-11T22:50:32.000Z | 2022-03-11T23:12:48.000Z | apps/v1api/views/contract.py | HowardEdidin/BlueButtonFHIR_API | b8433055507bcc334f70bc864eacd379a04f69db | [
"Apache-2.0"
] | 4 | 2016-02-02T19:17:24.000Z | 2020-10-10T16:10:31.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: ai ts=4 sts=4 et sw=4
"""
BlueButtonFHIR_API
FILE: apps.v1api.contract
Created: 1/4/16 1:22 AM
Write consent by beneficiary to allow use of their data by third party application
Status: Experimental
Get FHIR Contract format from http://hl7.org/fhir/contract.html
... | 45.538462 | 109 | 0.671547 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,149 | 0.966404 |
25ccb0913ef4b3651479a239662414ae76f45041 | 609 | py | Python | oauthprovider/permissions.py | avryhof/sub-g | 46f403d189eb16de93a5ff8ab7fe88507bcaf2fd | [
"MIT"
] | null | null | null | oauthprovider/permissions.py | avryhof/sub-g | 46f403d189eb16de93a5ff8ab7fe88507bcaf2fd | [
"MIT"
] | null | null | null | oauthprovider/permissions.py | avryhof/sub-g | 46f403d189eb16de93a5ff8ab7fe88507bcaf2fd | [
"MIT"
] | null | null | null | from rest_framework import permissions
from .models import AuthorizedAgent
class AuthorizedAgentPermission(permissions.BasePermission):
def has_permission(self, request, view):
is_authorized = False
try:
AuthorizedAgent.objects.get(authorized=True, app_key=request.auth)
exce... | 22.555556 | 78 | 0.697865 | 527 | 0.865353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
25cd9bc3d7f75b07d01d83640a5c5130f4b01fee | 113 | py | Python | classification/datasets/const.py | ridgei/MCD_DA | d8d40774aeabd72df73190c9dc1980f9239df128 | [
"MIT"
] | null | null | null | classification/datasets/const.py | ridgei/MCD_DA | d8d40774aeabd72df73190c9dc1980f9239df128 | [
"MIT"
] | 4 | 2020-12-03T10:21:09.000Z | 2020-12-07T05:46:40.000Z | classification/datasets/const.py | ridgei/MCD_DA | d8d40774aeabd72df73190c9dc1980f9239df128 | [
"MIT"
] | null | null | null | from os import path
from os.path import join
DATA_PATH = join(path.sep, 'workspace', 'classification', 'data')
| 18.833333 | 65 | 0.734513 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0.292035 |
25cdaf7cb219ebcc1a48a35fc052d380b63d54ae | 655 | py | Python | cobl/lexicon/migrations/0137_normalize_nexus_exports.py | Bibiko/CoBL-public | 5092a0d01b7a13565c7da6bf2f6c52d648a2debe | [
"BSD-2-Clause"
] | 3 | 2017-05-30T04:40:43.000Z | 2019-04-25T14:54:54.000Z | cobl/lexicon/migrations/0137_normalize_nexus_exports.py | Bibiko/CoBL-public | 5092a0d01b7a13565c7da6bf2f6c52d648a2debe | [
"BSD-2-Clause"
] | null | null | null | cobl/lexicon/migrations/0137_normalize_nexus_exports.py | Bibiko/CoBL-public | 5092a0d01b7a13565c7da6bf2f6c52d648a2debe | [
"BSD-2-Clause"
] | 3 | 2018-07-02T13:42:12.000Z | 2019-05-17T13:11:13.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
import json
from django.db import migrations
def forwards_func(apps, schema_editor):
NexusExport = apps.get_model("lexicon", "NexusExport")
for export in NexusExport.objects.all():
settings = json.loads(export.exportSettin... | 24.259259 | 59 | 0.690076 | 184 | 0.280916 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0.120611 |
25ce92f15804d39fd750d921a11abe1b5d750803 | 1,622 | py | Python | bites/bite021.py | ChidinmaKO/Chobe-bitesofpy | 2f933e6c8877a37d1ce7ef54ea22169fc67417d3 | [
"MIT"
] | null | null | null | bites/bite021.py | ChidinmaKO/Chobe-bitesofpy | 2f933e6c8877a37d1ce7ef54ea22169fc67417d3 | [
"MIT"
] | null | null | null | bites/bite021.py | ChidinmaKO/Chobe-bitesofpy | 2f933e6c8877a37d1ce7ef54ea22169fc67417d3 | [
"MIT"
] | 1 | 2019-07-16T19:12:52.000Z | 2019-07-16T19:12:52.000Z | cars = {
'Ford': ['Falcon', 'Focus', 'Festiva', 'Fairlane'],
'Holden': ['Commodore', 'Captiva', 'Barina', 'Trailblazer'],
'Nissan': ['Maxima', 'Pulsar', '350Z', 'Navara'],
'Honda': ['Civic', 'Accord', 'Odyssey', 'Jazz'],
'Jeep': ['Grand Cherokee', 'Cherokee', 'Trailhawk', 'Trackhawk']
}
def get_al... | 34.510638 | 71 | 0.6418 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 751 | 0.463009 |
25cf4945d974bdc43f8bfbe0d747b72c20968c9e | 3,027 | py | Python | homeassistant/components/switch/mysensors.py | magas0/home-assistant | 3c9e4934946ce99f5193ca550296034e86337997 | [
"MIT"
] | null | null | null | homeassistant/components/switch/mysensors.py | magas0/home-assistant | 3c9e4934946ce99f5193ca550296034e86337997 | [
"MIT"
] | null | null | null | homeassistant/components/switch/mysensors.py | magas0/home-assistant | 3c9e4934946ce99f5193ca550296034e86337997 | [
"MIT"
] | null | null | null | """
Support for MySensors switches.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/switch.mysensors/
"""
import logging
from homeassistant.components import mysensors
from homeassistant.components.switch import SwitchDevice
from homeassistant.const impo... | 36.035714 | 75 | 0.650479 | 1,194 | 0.39445 | 0 | 0 | 344 | 0.113644 | 0 | 0 | 727 | 0.240172 |