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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8142469152248a85d9c74dde7399667a9998d711 | 15,301 | py | Python | zerver/openapi/markdown_extension.py | bhargavgajera10/zulip | 165decee849c5437742094776ce43ccfdcf05764 | [
"Apache-2.0"
] | 1 | 2020-10-02T07:39:04.000Z | 2020-10-02T07:39:04.000Z | zerver/openapi/markdown_extension.py | bhargavgajera10/zulip | 165decee849c5437742094776ce43ccfdcf05764 | [
"Apache-2.0"
] | null | null | null | zerver/openapi/markdown_extension.py | bhargavgajera10/zulip | 165decee849c5437742094776ce43ccfdcf05764 | [
"Apache-2.0"
] | null | null | null | import re
import json
import inspect
from django.conf import settings
from markdown.extensions import Extension
from markdown.preprocessors import Preprocessor
from typing import Any, Dict, Optional, List, Tuple, Pattern
import markdown
import zerver.openapi.python_examples
from zerver.openapi.openapi import get_ope... | 39.846354 | 109 | 0.595974 |
711806672e45024b8ec0958f9ddd554fa1193b0f | 2,451 | py | Python | vega/metrics/pytorch/r2score.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 724 | 2020-06-22T12:05:30.000Z | 2022-03-31T07:10:54.000Z | vega/metrics/pytorch/r2score.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 147 | 2020-06-30T13:34:46.000Z | 2022-03-29T11:30:17.000Z | vega/metrics/pytorch/r2score.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 160 | 2020-06-29T18:27:58.000Z | 2022-03-23T08:42:21.000Z | # -*- coding:utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the ... | 33.575342 | 101 | 0.631987 |
8ff1ea505080691bf556ef93bdd8302cde815e94 | 270 | py | Python | minecraft_learns/__init__.py | Nathan-Nesbitt/Minecraft_Learns | 089dd51c9514fa94b24630a034c257306722f64b | [
"MIT"
] | null | null | null | minecraft_learns/__init__.py | Nathan-Nesbitt/Minecraft_Learns | 089dd51c9514fa94b24630a034c257306722f64b | [
"MIT"
] | 1 | 2021-04-22T01:02:50.000Z | 2021-04-22T01:02:50.000Z | minecraft_learns/__init__.py | Nathan-Nesbitt/Minecraft_Learns | 089dd51c9514fa94b24630a034c257306722f64b | [
"MIT"
] | null | null | null | """
Init file for the PIP package config.
Written By: Nathan Nesbitt
Date: 2021-01-15
"""
from minecraft_learns.common import *
from minecraft_learns.data import Data
from minecraft_learns.errors import *
from minecraft_learns.graphing import *
| 22.5 | 42 | 0.725926 |
a3e475c559318500b7dc6651e374a8bbc09396d9 | 1,442 | py | Python | roster_own.py | nocibambi/ds-practice | 9b6c4414f4700fb0bd017101b5a61c9d824a9b98 | [
"MIT"
] | null | null | null | roster_own.py | nocibambi/ds-practice | 9b6c4414f4700fb0bd017101b5a61c9d824a9b98 | [
"MIT"
] | null | null | null | roster_own.py | nocibambi/ds-practice | 9b6c4414f4700fb0bd017101b5a61c9d824a9b98 | [
"MIT"
] | null | null | null | import json
import sqlite3
conn = sqlite3.connect('rosterdb.sqlite')
cur = conn.cursor()
cur.executescript('''
DROP TABLE IF EXISTS User;
DROP TABLE IF EXISTS Member;
DROP TABLE IF EXISTS Course;
CREATE TABLE User (
id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT UNIQUE,
name TEXT UNIQUE
);
CREATE TABLE Cours... | 25.298246 | 120 | 0.685853 |
e85d1c4a596eddac093a85c83d259b88dc47884b | 2,215 | py | Python | nets/TSP_edge_classification/gcn_net.py | SauravMaheshkar/benchmarking-gnns | 4665316322527634c23307556b63291c69dac4b0 | [
"MIT"
] | null | null | null | nets/TSP_edge_classification/gcn_net.py | SauravMaheshkar/benchmarking-gnns | 4665316322527634c23307556b63291c69dac4b0 | [
"MIT"
] | 6 | 2022-01-06T21:27:06.000Z | 2022-01-19T06:28:56.000Z | nets/TSP_edge_classification/gcn_net.py | SauravMaheshkar/benchmarking-gnns | 4665316322527634c23307556b63291c69dac4b0 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
"""
GCN: Graph Convolutional Networks
Thomas N. Kipf, Max Welling, Semi-Supervised Classification with Graph Convolutional Networks (ICLR 2017)
http://arxiv.org/abs/1609.02907
"""
from layers.gcn_layer import GCNLayer
from layers.mlp_readou... | 29.932432 | 109 | 0.565688 |
c29ed961b8e78f2e37551abe2ae2d0b836436ea7 | 1,102 | py | Python | game/game/middleware.py | ClaytonTurner/pylti1.3-django-example | 2ee32aa531f526144a523f92fcf88442396060fe | [
"MIT"
] | 10 | 2020-04-11T13:43:42.000Z | 2021-12-30T18:46:31.000Z | game/game/middleware.py | ClaytonTurner/pylti1.3-django-example | 2ee32aa531f526144a523f92fcf88442396060fe | [
"MIT"
] | 12 | 2020-05-06T01:49:32.000Z | 2022-01-31T17:20:08.000Z | game/game/middleware.py | ClaytonTurner/pylti1.3-django-example | 2ee32aa531f526144a523f92fcf88442396060fe | [
"MIT"
] | 13 | 2020-04-01T15:15:35.000Z | 2022-03-29T02:48:52.000Z | import django
from django.conf import settings
from django.utils.deprecation import MiddlewareMixin
class SameSiteMiddleware(MiddlewareMixin):
def process_response(self, request, response):
django_support_samesite_none = django.VERSION[0] > 3 \
or (django.VERSION[0]... | 47.913043 | 93 | 0.69147 |
668202189074a94e7243f7bc079586a21f4c2753 | 87 | py | Python | plugins/digitalocean/komand_digitalocean/actions/retrieve_existing_floating_ip/__init__.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 46 | 2019-06-05T20:47:58.000Z | 2022-03-29T10:18:01.000Z | plugins/digitalocean/komand_digitalocean/actions/retrieve_existing_floating_ip/__init__.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 386 | 2019-06-07T20:20:39.000Z | 2022-03-30T17:35:01.000Z | plugins/digitalocean/komand_digitalocean/actions/retrieve_existing_floating_ip/__init__.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 43 | 2019-07-09T14:13:58.000Z | 2022-03-28T12:04:46.000Z | # GENERATED BY KOMAND SDK - DO NOT EDIT
from .action import RetrieveExistingFloatingIp
| 29 | 46 | 0.816092 |
9b586a30d8d76e1420241fd5f90cdd0687ce4f9d | 2,110 | py | Python | setup.py | andrewrfreed/flask-oidc-ext | ae2715ca037ebffabc01449c8c78ce78cdf39209 | [
"BSD-2-Clause"
] | null | null | null | setup.py | andrewrfreed/flask-oidc-ext | ae2715ca037ebffabc01449c8c78ce78cdf39209 | [
"BSD-2-Clause"
] | null | null | null | setup.py | andrewrfreed/flask-oidc-ext | ae2715ca037ebffabc01449c8c78ce78cdf39209 | [
"BSD-2-Clause"
] | null | null | null | import os.path
import io
import sys
from setuptools import setup
# This check is to make sure we checkout docs/_themes before running sdist
if not os.path.exists("./docs/_themes/README"):
print("Please make sure you have docs/_themes checked out while running setup.py!")
if os.path.exists(".git"):
pri... | 35.762712 | 123 | 0.636019 |
f4e38dba3b74174aef831001c5060cda0b66c9db | 476 | py | Python | hackerearth/Algorithms/Equalize strings (1)/test.py | ATrain951/01.python-com_Qproject | c164dd093954d006538020bdf2e59e716b24d67c | [
"MIT"
] | 4 | 2020-07-24T01:59:50.000Z | 2021-07-24T15:14:08.000Z | hackerearth/Algorithms/Equalize strings (1)/test.py | ATrain951/01.python-com_Qproject | c164dd093954d006538020bdf2e59e716b24d67c | [
"MIT"
] | null | null | null | hackerearth/Algorithms/Equalize strings (1)/test.py | ATrain951/01.python-com_Qproject | c164dd093954d006538020bdf2e59e716b24d67c | [
"MIT"
] | null | null | null | import io
import unittest
from contextlib import redirect_stdout
from unittest.mock import patch
class TestQ(unittest.TestCase):
@patch('builtins.input', side_effect=[
'4',
'1101',
'0011',
])
def test_case_0(self, input_mock=None):
text_trap = io.StringIO()
with red... | 21.636364 | 53 | 0.640756 |
f35ccc749791230b2303bfb2ab807b1ea680cbeb | 1,756 | py | Python | src/plugins/dfplayer/Platform.py | andreaswatch/piTomation | 140bff77ad0b84ad17898106c7be7dc48a2d0783 | [
"MIT"
] | null | null | null | src/plugins/dfplayer/Platform.py | andreaswatch/piTomation | 140bff77ad0b84ad17898106c7be7dc48a2d0783 | [
"MIT"
] | null | null | null | src/plugins/dfplayer/Platform.py | andreaswatch/piTomation | 140bff77ad0b84ad17898106c7be7dc48a2d0783 | [
"MIT"
] | null | null | null | from modules.base.Configuration import *
from modules.base.Instances import *
@configuration
class DFPlayerPlatformConfiguration(PlatformConfiguration):
'''Configuration settings for the DFPlayer'''
@validator('platform')
def check_platform(cls, v):
if "plugins.dfplayer" not in v:
rais... | 32.518519 | 89 | 0.64123 |
62185d630b2e4affddab33d145ea543861f963d8 | 7,179 | py | Python | examples/angular_spec_doa.py | hwp/apkit | 35fea20e4cb5b175c43c9a29aade167e886c8368 | [
"MIT"
] | 3 | 2021-04-09T09:33:09.000Z | 2021-12-23T02:34:20.000Z | examples/angular_spec_doa.py | hwp/apkit | 35fea20e4cb5b175c43c9a29aade167e886c8368 | [
"MIT"
] | null | null | null | examples/angular_spec_doa.py | hwp/apkit | 35fea20e4cb5b175c43c9a29aade167e886c8368 | [
"MIT"
] | 2 | 2018-11-06T00:44:11.000Z | 2020-12-14T16:11:23.000Z | #!/usr/bin/env python
"""
angular_spec_doa.py
Written by Weipeng He <heweipeng@gmail.com>
"""
import time # debug
import sys # debug
import math
import argparse
import numpy as np
import apkit
# Microphone 3D coordinates (unit is meter)
_MICROPHONE_COORDINATES = np.array([[-0.0267, 0.0343, 0.2066],
... | 37.586387 | 79 | 0.551887 |
7103f51c3cb2aebf4df9a2e6e9acc6343f26e93f | 4,143 | py | Python | zippyshare_downloader/network.py | TheKrakenss/zippyshare-downloader | 94a03628319bbaf3815a82665614375fe9d221e8 | [
"MIT"
] | null | null | null | zippyshare_downloader/network.py | TheKrakenss/zippyshare-downloader | 94a03628319bbaf3815a82665614375fe9d221e8 | [
"MIT"
] | null | null | null | zippyshare_downloader/network.py | TheKrakenss/zippyshare-downloader | 94a03628319bbaf3815a82665614375fe9d221e8 | [
"MIT"
] | null | null | null | import requests
import aiohttp
import asyncio
__all__ = (
'Net', 'NetworkObject',
'set_proxy', 'clear_proxy'
)
# Modified requests session class with __del__ handler
# so the session will be closed properly
class requestsProxiedSession(requests.Session):
def __init__(self, trust_env=True) -> None:
... | 28.770833 | 92 | 0.632875 |
60e28139e2f3a78e288527dd757b4a6a10686f9f | 2,012 | py | Python | tutorials/data_augmentation.py | pmeier/kornia | 57f5aeb605d0c69de88a0a1aa1563cee52d4bfaf | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2021-04-15T01:20:01.000Z | 2022-01-12T14:12:54.000Z | tutorials/data_augmentation.py | pmeier/kornia | 57f5aeb605d0c69de88a0a1aa1563cee52d4bfaf | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | tutorials/data_augmentation.py | pmeier/kornia | 57f5aeb605d0c69de88a0a1aa1563cee52d4bfaf | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-10-20T06:57:07.000Z | 2020-10-20T06:57:07.000Z | """
Data augmentation on the GPU
============================
In this data you learn how to use `kornia` modules in order to perform the data augmentatio on the GPU in batch mode.
"""
################################
# 1. Create a dummy data loader
import torch
import torch.nn as nn
import torch.optim as optim
from ... | 27.944444 | 117 | 0.66501 |
fa084c04bf22c29c12e71a9eb5bcc3af5b78b976 | 916 | py | Python | samples/client/petstore/python/test/test_outer_composite.py | wwadge/swagger-codegen | 777619d4d106b7b387f8ee8469f4ec43f3cdfdc7 | [
"Apache-2.0"
] | 3 | 2017-05-24T11:22:36.000Z | 2021-02-09T15:26:41.000Z | samples/client/petstore/python/test/test_outer_composite.py | wwadge/swagger-codegen | 777619d4d106b7b387f8ee8469f4ec43f3cdfdc7 | [
"Apache-2.0"
] | 5 | 2019-03-06T07:41:25.000Z | 2020-01-20T12:21:53.000Z | samples/client/petstore/python/test/test_outer_composite.py | wwadge/swagger-codegen | 777619d4d106b7b387f8ee8469f4ec43f3cdfdc7 | [
"Apache-2.0"
] | 11 | 2017-07-07T18:07:15.000Z | 2021-11-10T02:12:04.000Z | # coding: utf-8
"""
Swagger Petstore
This spec is mainly for testing Petstore server and contains fake endpoints, models. Please do not use this for any other purpose. Special characters: \" \\
OpenAPI spec version: 1.0.0
Contact: apiteam@swagger.io
Generated by: https://github.com/swagger-api/sw... | 21.302326 | 160 | 0.708515 |
f978b44c67f56e47239226e06943d3d8441c95a1 | 1,091 | py | Python | lambdata/style_example.py | B-Meister/ds18_lambdata | 8b5983219513a25357d81a1c4403a6d643b7b6d5 | [
"MIT"
] | null | null | null | lambdata/style_example.py | B-Meister/ds18_lambdata | 8b5983219513a25357d81a1c4403a6d643b7b6d5 | [
"MIT"
] | null | null | null | lambdata/style_example.py | B-Meister/ds18_lambdata | 8b5983219513a25357d81a1c4403a6d643b7b6d5 | [
"MIT"
] | null | null | null | """ This file was to practice PEP8 style"""
import math
import sys
def example1():
# This is a long comment. This should be wrapped to fit within 72
# characters.
some_tuple = (1, 2, 3, 'a')
some_variable = {
'long': 'Long code lines should be wrapped within 79 characters.',
'other': [... | 28.710526 | 75 | 0.604033 |
76cf07c2e0e759dfcd4fe24ebdaeabd0936e3647 | 1,048 | py | Python | setup.py | marujore/stmetrics | 16beeb262bde7942d0c9bb49772a409e0e2e2f1f | [
"MIT"
] | 12 | 2020-04-15T14:19:59.000Z | 2022-03-01T09:25:19.000Z | setup.py | andersonreisoares/time-metrics | dd988d406fa090738a4d50461e9a46492d2f078e | [
"MIT"
] | 6 | 2020-07-04T12:57:22.000Z | 2021-06-10T02:28:51.000Z | setup.py | andersonreisoares/time-metrics | dd988d406fa090738a4d50461e9a46492d2f078e | [
"MIT"
] | 4 | 2020-03-17T14:52:00.000Z | 2021-05-14T11:29:34.000Z | import setuptools
with open("README.rst", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="stmetrics",
version="0.1.7",
author="Brazil Data Cube Team",
author_email="brazildatacube@dpi.inpe.br",
description="A package to compute features from Satellite Image Time Series (SITS).... | 23.818182 | 89 | 0.610687 |
d23c74c48bd63a487c69cc10088dfba3386fa662 | 581 | py | Python | main.py | OleHenFo/hyttemon | 8cacd61c395b330736287db0b8489dd27f72cabc | [
"MIT"
] | null | null | null | main.py | OleHenFo/hyttemon | 8cacd61c395b330736287db0b8489dd27f72cabc | [
"MIT"
] | null | null | null | main.py | OleHenFo/hyttemon | 8cacd61c395b330736287db0b8489dd27f72cabc | [
"MIT"
] | null | null | null | import time,random,os
from PIL import Image,ImageDraw,ImageFont
fontTemp = ImageFont.truetype("font/Roboto-Medium.ttf", 136)
textColor = (200,200,200,150)
tempUte = 14
tempInne = 23
while(True):
im = Image.open("img/bg.png")
draw = ImageDraw.Draw(im)
tempUte = 14 + random.randint(0,1)-1
tempInne = 23 + rand... | 27.666667 | 67 | 0.69191 |
876c9d812d6289519cca4791c9c09fed7ae12d24 | 13,419 | py | Python | gpvdm_gui/gui/scan_io.py | roderickmackenzie/gpvdm | 914fd2ee93e7202339853acaec1d61d59b789987 | [
"BSD-3-Clause"
] | 12 | 2016-09-13T08:58:13.000Z | 2022-01-17T07:04:52.000Z | gpvdm_gui/gui/scan_io.py | roderickmackenzie/gpvdm | 914fd2ee93e7202339853acaec1d61d59b789987 | [
"BSD-3-Clause"
] | 3 | 2017-11-11T12:33:02.000Z | 2019-03-08T00:48:08.000Z | gpvdm_gui/gui/scan_io.py | roderickmackenzie/gpvdm | 914fd2ee93e7202339853acaec1d61d59b789987 | [
"BSD-3-Clause"
] | 6 | 2019-01-03T06:17:12.000Z | 2022-01-01T15:59:00.000Z | #
# General-purpose Photovoltaic Device Model - a drift diffusion base/Shockley-Read-Hall
# model for 1st, 2nd and 3rd generation solar cells.
# Copyright (C) 2008-2022 Roderick C. I. MacKenzie r.c.i.mackenzie at googlemail.com
#
# https://www.gpvdm.com
#
# This program is free software; you can redist... | 27.441718 | 141 | 0.743274 |
c4260d4f1439eba4b39cd2a41b38b213237c83b7 | 19,696 | py | Python | gtm.py | hkaneko1985/structure_generator_based_on_r_group | 56fa945d9caf0f342b4457a9293d33af1a152bf8 | [
"MIT"
] | 5 | 2019-05-19T19:45:14.000Z | 2020-10-30T09:01:44.000Z | gtm.py | hkaneko1985/structure_generator_based_on_r_group | 56fa945d9caf0f342b4457a9293d33af1a152bf8 | [
"MIT"
] | null | null | null | gtm.py | hkaneko1985/structure_generator_based_on_r_group | 56fa945d9caf0f342b4457a9293d33af1a152bf8 | [
"MIT"
] | 4 | 2019-08-25T06:09:44.000Z | 2022-02-01T01:19:14.000Z | # -*- coding: utf-8 -*-
# %reset -f
"""
@author: Hiromasa Kaneko
"""
# GTM (generative topographic mapping) class
import math
import numpy as np
import numpy.matlib
from scipy.spatial.distance import cdist
from scipy.stats import norm, multivariate_normal
from sklearn.decomposition import PCA
class GTM:
def __... | 46.895238 | 117 | 0.600579 |
f13a803e440d714d719cbe16ae982eb996d79408 | 1,563 | py | Python | tools/tiny-test-fw/CIAssignExampleTest.py | Mixerito/esp-idf | 20a662936483f44ee9c8d16f3251a5a1191ca6e5 | [
"Apache-2.0"
] | 14 | 2018-04-23T20:34:38.000Z | 2022-02-03T05:06:57.000Z | tools/tiny-test-fw/CIAssignExampleTest.py | Mixerito/esp-idf | 20a662936483f44ee9c8d16f3251a5a1191ca6e5 | [
"Apache-2.0"
] | null | null | null | tools/tiny-test-fw/CIAssignExampleTest.py | Mixerito/esp-idf | 20a662936483f44ee9c8d16f3251a5a1191ca6e5 | [
"Apache-2.0"
] | 3 | 2018-11-25T06:51:59.000Z | 2019-07-14T15:47:48.000Z | # Copyright 2015-2017 Espressif Systems (Shanghai) PTE 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 ... | 31.897959 | 74 | 0.725528 |
d6ddd88faba42caf19ab392483d9cec0fa476884 | 391 | py | Python | test_mo/asgi.py | Qmanes/test_mo | f175f3d623d499473d88d2357769a3259b9b7484 | [
"MIT"
] | null | null | null | test_mo/asgi.py | Qmanes/test_mo | f175f3d623d499473d88d2357769a3259b9b7484 | [
"MIT"
] | null | null | null | test_mo/asgi.py | Qmanes/test_mo | f175f3d623d499473d88d2357769a3259b9b7484 | [
"MIT"
] | null | null | null | """
ASGI config for test_mo project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTI... | 23 | 78 | 0.785166 |
ebcaf9aa7dbc00bc9ed32c8b5cf12ff21cc8fe5e | 1,982 | py | Python | robotframework-ls/src/robotframework_ls/__init__.py | JohanMabille/robotframework-lsp | 610f0257fdcd79b8c38107a0ecf600f60160bc1f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | robotframework-ls/src/robotframework_ls/__init__.py | JohanMabille/robotframework-lsp | 610f0257fdcd79b8c38107a0ecf600f60160bc1f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | robotframework-ls/src/robotframework_ls/__init__.py | JohanMabille/robotframework-lsp | 610f0257fdcd79b8c38107a0ecf600f60160bc1f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | __version__ = "0.6.0"
version_info = [int(x) for x in __version__.split(".")]
import os.path
import sys
__file__ = os.path.abspath(__file__)
if __file__.endswith((".pyc", ".pyo")):
__file__ = __file__[:-1]
def import_robocorp_ls_core():
"""
Helper function to make sure that robocorp_ls_core is imported ... | 33.59322 | 88 | 0.534309 |
0ed6c9352b89cb95c37f903654e23611852b093a | 25,197 | py | Python | src/persistence/response_cache.py | nostalgebraist/nostalgebraist-autoresponder | 622349c4cad2a7aec1017837416c58a678151aae | [
"MIT"
] | 39 | 2020-06-19T05:38:11.000Z | 2022-03-28T04:35:31.000Z | src/persistence/response_cache.py | nostalgebraist/nostalgebraist-autoresponder | 622349c4cad2a7aec1017837416c58a678151aae | [
"MIT"
] | null | null | null | src/persistence/response_cache.py | nostalgebraist/nostalgebraist-autoresponder | 622349c4cad2a7aec1017837416c58a678151aae | [
"MIT"
] | 2 | 2021-04-13T18:12:03.000Z | 2021-12-16T23:20:12.000Z | """
Originally for caching tumblr API responses to help w/ ratelimiting.
Scope creep has caused this to be more of a general cache for lots of stuff, so it now
holds a lot of stuff needed for persistent-over-time elements of bot operation, like
the mood feature.
"""
import subprocess
from collections import namedtuple... | 39.49373 | 140 | 0.613168 |
ed3bbae33cd01724c5151b3ac4c16ed8a05d72bf | 125 | py | Python | sourcehold/maps/sections/section1021.py | J-T-de/sourcehold-maps | 330ab1b3426dbd93b5de3b0c031419e54f6a1618 | [
"MIT"
] | null | null | null | sourcehold/maps/sections/section1021.py | J-T-de/sourcehold-maps | 330ab1b3426dbd93b5de3b0c031419e54f6a1618 | [
"MIT"
] | null | null | null | sourcehold/maps/sections/section1021.py | J-T-de/sourcehold-maps | 330ab1b3426dbd93b5de3b0c031419e54f6a1618 | [
"MIT"
] | null | null | null | from .types import TileCompressedMapSection
class Section1021(TileCompressedMapSection):
_TYPE_ = "H"
_CLASS_ = int | 20.833333 | 44 | 0.768 |
eb21c84cf904c163f20c464c1db0f9d3948b53f3 | 7,464 | py | Python | sort.py | qadeer7194/-Dyanmic-Traffic-Light-Management-System | 4b34fdf74b07967b49c2d03807bb6a5ef310208e | [
"MIT"
] | null | null | null | sort.py | qadeer7194/-Dyanmic-Traffic-Light-Management-System | 4b34fdf74b07967b49c2d03807bb6a5ef310208e | [
"MIT"
] | null | null | null | sort.py | qadeer7194/-Dyanmic-Traffic-Light-Management-System | 4b34fdf74b07967b49c2d03807bb6a5ef310208e | [
"MIT"
] | null | null | null | """
SORT: A Simple, Online and Realtime Tracker
Copyright (C) 2016 Alex Bewley alex@dynamicdetection.com
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the Li... | 33.470852 | 141 | 0.649652 |
74d2597968e3350550b601757925a3fa106e4c36 | 63,112 | py | Python | geoalchemy2/_functions.py | jimfulton/geoalchemy2 | 0ed84a38cc5a224c6d3f9dc6281800bd0f158f9b | [
"MIT"
] | 388 | 2015-01-05T05:18:04.000Z | 2022-03-04T23:24:08.000Z | geoalchemy2/_functions.py | jimfulton/geoalchemy2 | 0ed84a38cc5a224c6d3f9dc6281800bd0f158f9b | [
"MIT"
] | 233 | 2015-01-01T20:16:10.000Z | 2022-03-23T14:05:46.000Z | geoalchemy2/_functions.py | jimfulton/geoalchemy2 | 0ed84a38cc5a224c6d3f9dc6281800bd0f158f9b | [
"MIT"
] | 81 | 2015-05-04T15:45:33.000Z | 2022-03-02T13:51:27.000Z | # -*- coding: utf-8 -*-
# flake8: noqa
from . import types
_FUNCTIONS = [
('AddGeometryColumn', None,
'''Adds a geometry column to an existing table.'''),
('DropGeometryColumn', None,
'''Removes a geometry column from a spatial table.'''),
('DropGeometryTable', None,
'''Drops a table and al... | 75.855769 | 742 | 0.704034 |
344208f3709486556112f73b94798978c0424768 | 3,925 | py | Python | polyjit/experiments/sequences/test_genetic2.py | PolyJIT/polyjit.experiments | 4ac51473a20f86d4b07b598ac4c9b09df0c8fcb6 | [
"MIT"
] | null | null | null | polyjit/experiments/sequences/test_genetic2.py | PolyJIT/polyjit.experiments | 4ac51473a20f86d4b07b598ac4c9b09df0c8fcb6 | [
"MIT"
] | 3 | 2017-02-02T15:54:52.000Z | 2017-06-08T03:52:45.000Z | polyjit/experiments/sequences/test_genetic2.py | PolyJIT/polyjit.experiments | 4ac51473a20f86d4b07b598ac4c9b09df0c8fcb6 | [
"MIT"
] | 1 | 2017-04-01T15:30:16.000Z | 2017-04-01T15:30:16.000Z | """This module provides unit tests for the module genetic2.py."""
import unittest
import genetic2
class ChromosomeTestCase(unittest.TestCase):
def setUp(self):
self.gene_sequences = [['a', 'a', 'a'], ['b', 'b', 'b'],
['c', 'c', 'c']]
self.seq_to_fitness = {"['a', 'a... | 42.663043 | 79 | 0.543439 |
11a16ed140dd2bf6043005f43276774013688714 | 12,411 | py | Python | scripts/credit_poisoning.py | bogdan-kulynych/pots | 908e8fe00f0bb53765eff61462f50c43f339b17f | [
"MIT"
] | 7 | 2018-12-09T15:44:49.000Z | 2020-07-10T19:15:41.000Z | scripts/credit_poisoning.py | spring-epfl/pots | 908e8fe00f0bb53765eff61462f50c43f339b17f | [
"MIT"
] | null | null | null | scripts/credit_poisoning.py | spring-epfl/pots | 908e8fe00f0bb53765eff61462f50c43f339b17f | [
"MIT"
] | null | null | null | import sys
import pickle
import argparse
import functools
import pandas as pd
import numpy as np
import xxhash
from sklearn.svm import SVC
from tqdm import tqdm, trange
import src.credit_utils as cred
from src.influence import influence_func
_cached_transformations = {}
class ExpContext:
"""Experimental con... | 35.059322 | 112 | 0.624768 |
879b9c191eb0eb80e3c9af4157515e845dde9f42 | 1,293 | py | Python | examples/data_augmentation/classifier.py | BehaviorPredictionTestingPlatform/VerifAI | db05f3573c2e7d98c03029c1b4efca93e6b08edb | [
"BSD-3-Clause"
] | 109 | 2019-04-29T03:30:42.000Z | 2022-03-31T03:06:26.000Z | examples/data_augmentation/classifier.py | BehaviorPredictionTestingPlatform/VerifAI | db05f3573c2e7d98c03029c1b4efca93e6b08edb | [
"BSD-3-Clause"
] | 25 | 2019-03-25T00:27:39.000Z | 2022-03-27T20:29:23.000Z | examples/data_augmentation/classifier.py | BehaviorPredictionTestingPlatform/VerifAI | db05f3573c2e7d98c03029c1b4efca93e6b08edb | [
"BSD-3-Clause"
] | 35 | 2019-02-12T20:50:32.000Z | 2022-01-05T11:25:06.000Z | import numpy as np
from dotmap import DotMap
from verifai.client import Client
try:
import tensorflow as tf
except ModuleNotFoundError:
import sys
sys.exit('This functionality requires tensorflow to be installed')
from renderer.kittiLib import getLib
from renderer.generator import genImage
from model.mod... | 24.396226 | 86 | 0.753287 |
1ef64256b8caf749726f1e07c7bb8ecd9f635fee | 7,335 | py | Python | main_nolsm_onlyvid.py | nviable/deepfake-blips | 93f57d5e6b8f5b3ac7bdcae4c81a4b2028f1253b | [
"Apache-2.0"
] | 5 | 2019-05-22T02:30:43.000Z | 2020-02-18T12:23:08.000Z | main_nolsm_onlyvid.py | nviable/deepfake-blips | 93f57d5e6b8f5b3ac7bdcae4c81a4b2028f1253b | [
"Apache-2.0"
] | null | null | null | main_nolsm_onlyvid.py | nviable/deepfake-blips | 93f57d5e6b8f5b3ac7bdcae4c81a4b2028f1253b | [
"Apache-2.0"
] | 1 | 2020-02-28T06:15:07.000Z | 2020-02-28T06:15:07.000Z | #%%
from datetime import datetime
import os,cv2
#from cv2 import getRotationMatrix2D, warpAffine,getAffineTransform,resize,imread,BORDER_REFLECT
import numpy as np
#KERAS IMPORTS
from keras.applications.vgg16 import VGG16
from keras.callbacks import ProgbarLogger, EarlyStopping, ModelCheckpoint, TensorBoard
from keras.... | 42.155172 | 180 | 0.734015 |
e8c56316ff5d87b0ef64cdc25db0c731179823b1 | 171 | py | Python | api/tests/ver2/test_data/office_test_data.py | pcf26536/politico-api | 1c9b8755ddad2baf0bfdeab4aa0674e4197a0d7c | [
"MIT"
] | 1 | 2019-02-22T19:34:32.000Z | 2019-02-22T19:34:32.000Z | api/tests/ver2/test_data/office_test_data.py | pcf26536/politico-api | 1c9b8755ddad2baf0bfdeab4aa0674e4197a0d7c | [
"MIT"
] | null | null | null | api/tests/ver2/test_data/office_test_data.py | pcf26536/politico-api | 1c9b8755ddad2baf0bfdeab4aa0674e4197a0d7c | [
"MIT"
] | 1 | 2019-02-07T22:12:25.000Z | 2019-02-07T22:12:25.000Z | from api.strings import name_key, type_key
from api.ver1.offices.strings import fed_type
correct_office = {
name_key: "Women Representative",
type_key: fed_type
} | 24.428571 | 45 | 0.77193 |
9eddc9b44c8e9bb9b2c1b2e233e11af6583e50b9 | 2,380 | py | Python | tests/unit/raptiformica/actions/agent/test_agent_already_running.py | vdloo/raptiformica | e2807e5e913312034161efcbd74525a4b15b37e7 | [
"MIT"
] | 21 | 2016-09-04T11:27:31.000Z | 2019-10-30T08:23:14.000Z | tests/unit/raptiformica/actions/agent/test_agent_already_running.py | vdloo/raptiformica | e2807e5e913312034161efcbd74525a4b15b37e7 | [
"MIT"
] | 5 | 2017-09-17T15:59:37.000Z | 2018-02-03T14:53:32.000Z | tests/unit/raptiformica/actions/agent/test_agent_already_running.py | vdloo/raptiformica | e2807e5e913312034161efcbd74525a4b15b37e7 | [
"MIT"
] | 2 | 2017-11-21T18:14:51.000Z | 2017-11-22T01:20:45.000Z | from raptiformica.actions.agent import agent_already_running
from tests.testcase import TestCase
class TestAgentAlreadyRunning(TestCase):
def setUp(self):
self.check_nonzero_exit = self.set_up_patch(
'raptiformica.actions.agent.check_nonzero_exit'
)
self.check_nonzero_exit.retu... | 43.272727 | 95 | 0.596218 |
040ca3941248932b69f6e566bea6389eea026ab6 | 347 | py | Python | tests/test_models.py | solocompt/plugs-status | 1177d3426e8e62801fc435df082ad3ffc2dea0b6 | [
"MIT"
] | null | null | null | tests/test_models.py | solocompt/plugs-status | 1177d3426e8e62801fc435df082ad3ffc2dea0b6 | [
"MIT"
] | null | null | null | tests/test_models.py | solocompt/plugs-status | 1177d3426e8e62801fc435df082ad3ffc2dea0b6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_plugs-status
------------
Tests for `plugs-status` models module.
"""
from django.test import TestCase
from plugs_status import models
class TestPlugs_status(TestCase):
def setUp(self):
pass
def test_something(self):
pass
def te... | 13.346154 | 39 | 0.62536 |
f5b1c89503dc67b5dfca05d692d61cdec555d3cc | 5,689 | py | Python | IMLearn/learners/gaussian_estimators.py | ereldebel/IML.HUJI | 1c3d7042071a74ed60f92c013ef6051e2341304c | [
"MIT"
] | null | null | null | IMLearn/learners/gaussian_estimators.py | ereldebel/IML.HUJI | 1c3d7042071a74ed60f92c013ef6051e2341304c | [
"MIT"
] | null | null | null | IMLearn/learners/gaussian_estimators.py | ereldebel/IML.HUJI | 1c3d7042071a74ed60f92c013ef6051e2341304c | [
"MIT"
] | null | null | null | from __future__ import annotations
import numpy as np
from numpy.linalg import inv, det, slogdet
class UnivariateGaussian:
"""
Class for univariate Gaussian Distribution Estimator
"""
def __init__(self, biased_var: bool = False) -> None:
"""
Estimator for univariate Gaussian mean and variance parameters
P... | 25.977169 | 87 | 0.679557 |
8a0188795536e668bab21c1eaba05c76a768f22d | 4,272 | py | Python | src/lossfunctions.py | Darshan-Ramesh/EmpRecognition | c85775659bcbb79f62de29a7a764cc72f1de0674 | [
"MIT"
] | null | null | null | src/lossfunctions.py | Darshan-Ramesh/EmpRecognition | c85775659bcbb79f62de29a7a764cc72f1de0674 | [
"MIT"
] | null | null | null | src/lossfunctions.py | Darshan-Ramesh/EmpRecognition | c85775659bcbb79f62de29a7a764cc72f1de0674 | [
"MIT"
] | null | null | null |
import torch
import torch.nn as nn
import torch.nn.functional as F
import config as cfg
from torch.autograd import Variable
import numpy as np
class CBFocalLoss(nn.Module):
# from https://github.com/vandit15/Class-balanced-loss-pytorch/blob/master/class_balanced_loss.py
# paper https://arxiv.org/abs/1901.0... | 34.731707 | 117 | 0.619382 |
0712bbc0f673317187af8e1ab3b26543e2e7e0de | 443 | py | Python | balanced_delimiters.py | roopsmall/hackerrank-questions | f38d710be7a46491e5dc435155d953ae821d2055 | [
"MIT"
] | null | null | null | balanced_delimiters.py | roopsmall/hackerrank-questions | f38d710be7a46491e5dc435155d953ae821d2055 | [
"MIT"
] | null | null | null | balanced_delimiters.py | roopsmall/hackerrank-questions | f38d710be7a46491e5dc435155d953ae821d2055 | [
"MIT"
] | null | null | null | brackets = raw_input()
pairs = {'{':'}', '[':']', '(':')'}
index = -1
indicator = []
for i, bracket in enumerate(brackets):
if index == -1 and bracket not in pairs.keys():
index = 1
break
elif bracket in pairs.keys() or indicator[index] not in pairs.keys() or bracket != pairs[indicator[index]]:
indicator.a... | 20.136364 | 108 | 0.625282 |
42e42c29ee2f51520678161f21d7e6feade1c79f | 5,775 | py | Python | tests/test_livechat_2.py | pedrohbtp/pytchat | 5b18536972a4cdfbe68aa0beb023c136d41fca16 | [
"MIT"
] | null | null | null | tests/test_livechat_2.py | pedrohbtp/pytchat | 5b18536972a4cdfbe68aa0beb023c136d41fca16 | [
"MIT"
] | null | null | null | tests/test_livechat_2.py | pedrohbtp/pytchat | 5b18536972a4cdfbe68aa0beb023c136d41fca16 | [
"MIT"
] | null | null | null | import asyncio
import re
from aioresponses import aioresponses
from concurrent.futures import CancelledError
from pytchat.core_multithread.livechat import LiveChat
from pytchat.core_async.livechat import LiveChatAsync
from pytchat.processors.dummy_processor import DummyProcessor
def _open_file(path):
with open(pa... | 40.957447 | 96 | 0.665974 |
94cfea49754e85af29da3a247feda3bf7dc1e1e4 | 955 | py | Python | Section_3/Exercise_15.py | Szymon-Budziak/WDI_exercises_solutions | 51ffc9ec8b3cd6809bd55e98ecb8aed759c2d460 | [
"MIT"
] | null | null | null | Section_3/Exercise_15.py | Szymon-Budziak/WDI_exercises_solutions | 51ffc9ec8b3cd6809bd55e98ecb8aed759c2d460 | [
"MIT"
] | null | null | null | Section_3/Exercise_15.py | Szymon-Budziak/WDI_exercises_solutions | 51ffc9ec8b3cd6809bd55e98ecb8aed759c2d460 | [
"MIT"
] | 1 | 2021-11-21T09:38:33.000Z | 2021-11-21T09:38:33.000Z | """
Dana jest duża tablica t. Proszę napisać funkcję, która zwraca informację czy w tablicy zachodzi
następujący warunek: „wszystkie elementy, których indeks jest elementem ciągu Fibonacciego są
liczbami złożonymi, a wśród pozostałych przynajmniej jedna jest liczbą pierwszą”.
"""
from random import randint
def fibona... | 26.527778 | 96 | 0.55288 |
75b99654dbf8921e515d99738725ab16c49c99da | 22,714 | py | Python | pandas/io/tests/parser/c_parser_only.py | onesandzeroes/pandas | 22d982a8afdef3c438c9c93dfe5299cc5ca07de2 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | null | null | null | pandas/io/tests/parser/c_parser_only.py | onesandzeroes/pandas | 22d982a8afdef3c438c9c93dfe5299cc5ca07de2 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | null | null | null | pandas/io/tests/parser/c_parser_only.py | onesandzeroes/pandas | 22d982a8afdef3c438c9c93dfe5299cc5ca07de2 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Tests that apply specifically to the CParser. Unless specifically stated
as a CParser-specific issue, the goal is to eventually move as many of
these tests out of this module as soon as the Python parser can accept
further arguments when parsing.
"""
import nose
import numpy as np
import ... | 40.27305 | 79 | 0.535881 |
713a97a6d275cb10e46211239c5979143e7c1048 | 2,275 | py | Python | tasks/functions/brook.py | Aurora-Admin-Panel/backend | 14caa79773fd505eebcd9c1d578c2994a0f56a8a | [
"MIT"
] | 15 | 2020-11-27T04:03:34.000Z | 2022-03-04T11:00:07.000Z | tasks/functions/brook.py | Aurora-Admin-Panel/backend | 14caa79773fd505eebcd9c1d578c2994a0f56a8a | [
"MIT"
] | 18 | 2021-06-03T06:03:02.000Z | 2022-02-21T08:58:09.000Z | tasks/functions/brook.py | Aurora-Admin-Panel/backend | 14caa79773fd505eebcd9c1d578c2994a0f56a8a | [
"MIT"
] | 26 | 2020-11-26T09:00:03.000Z | 2022-02-16T04:20:53.000Z | from sqlalchemy.orm import Session
from app.db.models.port import Port
from app.db.models.port_forward import MethodEnum
from app.utils.dns import dns_query
from app.utils.ip import is_ip
from tasks.functions.base import AppConfig
class BrookConfig(AppConfig):
method = MethodEnum.BROOK
def __init__(self):
... | 36.111111 | 93 | 0.584615 |
ce6e43de40a5631238c29381068669ffeeee0f80 | 9,309 | py | Python | documentation/building-with-duim/source/conf.py | promovicz/opendylan | 93a21dbf7fa2096de505bc641c24e63f4de9831f | [
"MIT"
] | null | null | null | documentation/building-with-duim/source/conf.py | promovicz/opendylan | 93a21dbf7fa2096de505bc641c24e63f4de9831f | [
"MIT"
] | null | null | null | documentation/building-with-duim/source/conf.py | promovicz/opendylan | 93a21dbf7fa2096de505bc641c24e63f4de9831f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Building Applications With DUIM documentation build configuration file, created by
# sphinx-quickstart on Sun Nov 6 22:59:06 2011.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# aut... | 32.211073 | 88 | 0.719089 |
fc5807d9de5dafda2e96ace80792136280cf2938 | 1,360 | py | Python | main.py | rVnPower/TheShell | 43016f6569369830aa36d3fd6978824ad5fcf2e9 | [
"MIT"
] | null | null | null | main.py | rVnPower/TheShell | 43016f6569369830aa36d3fd6978824ad5fcf2e9 | [
"MIT"
] | null | null | null | main.py | rVnPower/TheShell | 43016f6569369830aa36d3fd6978824ad5fcf2e9 | [
"MIT"
] | null | null | null | class Character:
def __init__(self, name, health, strength):
self.name = name
self.health = health
self.strength = strength
self.xp = 0
def attack(self, target):
if (self.health > 0):
damage = self.strength
print(
f'{self.name} attacks {target.name} and causes {damage} d... | 27.2 | 110 | 0.647059 |
efdb57da34f026ac3b5db34706bb8650acc74842 | 23,843 | py | Python | klvdata/misbEG0104.py | stharding/klvdata | e34529c4eba7c8cd00fe56834b623d8e5770f47a | [
"MIT"
] | 6 | 2016-10-21T00:49:27.000Z | 2017-08-31T04:36:38.000Z | klvdata/misbEG0104.py | stharding/klvdata | e34529c4eba7c8cd00fe56834b623d8e5770f47a | [
"MIT"
] | null | null | null | klvdata/misbEG0104.py | stharding/klvdata | e34529c4eba7c8cd00fe56834b623d8e5770f47a | [
"MIT"
] | 2 | 2017-05-26T10:44:34.000Z | 2017-06-23T22:05:55.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# The MIT License (MIT)
#
# Copyright (c) 2017 Matthew Pare (paretech@gmail.com)
#
# 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 rest... | 35.375371 | 83 | 0.671644 |
0de6fea6c576b09c0bb5be8fa6b4e4713bf0a512 | 2,843 | py | Python | labs/lab-07/plot_words4.py | LingCheng3273/OSS-Lab | e4ba3755aac3c30649180fdeb6f1da740b8eeb1c | [
"MIT"
] | null | null | null | labs/lab-07/plot_words4.py | LingCheng3273/OSS-Lab | e4ba3755aac3c30649180fdeb6f1da740b8eeb1c | [
"MIT"
] | null | null | null | labs/lab-07/plot_words4.py | LingCheng3273/OSS-Lab | e4ba3755aac3c30649180fdeb6f1da740b8eeb1c | [
"MIT"
] | null | null | null | """
=====
Words
=====
Words/Ladder Graph
------------------
Generate an undirected graph over the 5757 5-letter words in the
datafile `words_dat.txt.gz`. Two words are connected by an edge
if they differ in one letter, resulting in 14,135 edges. This example
is described in Section 1.1 in Knuth's book (see [1]_ and [... | 31.94382 | 76 | 0.57369 |
ccdb0b58ce162e194092b2f7e77453d2f2336ad0 | 13,970 | py | Python | app/extensions/api/namespace.py | IsmaelJS/test-github-actions | 97223df261e9736c46875f590c9593dbac0d417b | [
"MIT"
] | 1,420 | 2015-11-20T01:25:14.000Z | 2022-03-22T03:51:33.000Z | app/extensions/api/namespace.py | IsmaelJS/test-github-actions | 97223df261e9736c46875f590c9593dbac0d417b | [
"MIT"
] | 151 | 2016-01-07T09:11:42.000Z | 2020-11-17T08:37:07.000Z | app/extensions/api/namespace.py | IsmaelJS/test-github-actions | 97223df261e9736c46875f590c9593dbac0d417b | [
"MIT"
] | 389 | 2015-11-23T01:14:31.000Z | 2022-02-07T08:23:11.000Z | # encoding: utf-8
"""
Extended Api Namespace implementation with an application-specific helpers
--------------------------------------------------------------------------
"""
from contextlib import contextmanager
from functools import wraps
import logging
import flask_marshmallow
import sqlalchemy
from flask_restplu... | 39.6875 | 109 | 0.567788 |
a4cce7a07f3a273ec79d081e724abcf6b5e8b117 | 3,336 | py | Python | prepare_data.py | dajor/keras | 17b4df003c0445ed022401923d99495d8f1bb5fe | [
"MIT"
] | null | null | null | prepare_data.py | dajor/keras | 17b4df003c0445ed022401923d99495d8f1bb5fe | [
"MIT"
] | null | null | null | prepare_data.py | dajor/keras | 17b4df003c0445ed022401923d99495d8f1bb5fe | [
"MIT"
] | null | null | null |
import os
import glob
import argparse
import pdf2image
import simplejson
from tqdm import tqdm
from invoicenet import FIELDS, FIELD_TYPES
from invoicenet.common import util
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--data_dir", type=str, required=True,
help="path to d... | 36.659341 | 114 | 0.525779 |
98fb620b005388dc7d024319f2748b4e85ad011b | 350 | py | Python | nequip/utils/tp_utils.py | schiotz/nequip | c343ce25ecfeb64f6df92e96022e673a7714e3a6 | [
"MIT"
] | 153 | 2021-06-20T20:12:01.000Z | 2022-03-31T13:57:45.000Z | nequip/utils/tp_utils.py | schiotz/nequip | c343ce25ecfeb64f6df92e96022e673a7714e3a6 | [
"MIT"
] | 25 | 2021-06-17T16:00:16.000Z | 2022-03-29T07:04:00.000Z | nequip/utils/tp_utils.py | schiotz/nequip | c343ce25ecfeb64f6df92e96022e673a7714e3a6 | [
"MIT"
] | 25 | 2021-06-21T22:25:22.000Z | 2022-03-30T04:39:46.000Z | from e3nn import o3
def tp_path_exists(irreps_in1, irreps_in2, ir_out):
irreps_in1 = o3.Irreps(irreps_in1).simplify()
irreps_in2 = o3.Irreps(irreps_in2).simplify()
ir_out = o3.Irrep(ir_out)
for _, ir1 in irreps_in1:
for _, ir2 in irreps_in2:
if ir_out in ir1 * ir2:
... | 25 | 51 | 0.642857 |
a75f653a20f7585f1ef5fc7ccc21a3541a64f2f1 | 2,489 | py | Python | athanor_faction/models.py | volundmush/athanor_faction | 4f2e886d9587222b157ff6ede1b30900555ce7df | [
"BSD-3-Clause"
] | null | null | null | athanor_faction/models.py | volundmush/athanor_faction | 4f2e886d9587222b157ff6ede1b30900555ce7df | [
"BSD-3-Clause"
] | null | null | null | athanor_faction/models.py | volundmush/athanor_faction | 4f2e886d9587222b157ff6ede1b30900555ce7df | [
"BSD-3-Clause"
] | null | null | null | from django.db import models
from evennia.typeclasses.models import SharedMemoryModel
class AllianceBridge(SharedMemoryModel):
db_object = models.OneToOneField('objects.ObjectDB', related_name='alliance_bridge', primary_key=True,
on_delete=models.CASCADE)
db_name = models.... | 56.568182 | 113 | 0.732021 |
a117ceff7ebc0f5f7a0c5a8f796d2775125f5b67 | 650 | py | Python | init_model.py | positivedefinite/SAMMY | 46c9f6712262db95d3d0b56103f36537b99b4b9e | [
"MIT"
] | 1 | 2018-03-04T14:41:26.000Z | 2018-03-04T14:41:26.000Z | init_model.py | positivedefinite/SAMMY | 46c9f6712262db95d3d0b56103f36537b99b4b9e | [
"MIT"
] | null | null | null | init_model.py | positivedefinite/SAMMY | 46c9f6712262db95d3d0b56103f36537b99b4b9e | [
"MIT"
] | null | null | null | from keras.models import model_from_json
def init(json_path,h5_path):
json_file = open(json_path,'r')
loaded_model_json = json_file.read()
json_file.close()
loaded_model = model_from_json(loaded_model_json)
#load woeights into new model
loaded_model.load_weights(h5_path)
print("Loaded Model from disk")
#comp... | 30.952381 | 93 | 0.78 |
65d1fc31a73f889613000bfd08b63c6d7cb3c272 | 10,812 | py | Python | PathPlanning/BidirectionalAStar/bidirectional_a_star.py | ll7/PythonRobotics | 86a67adde743e85974a42e47c95f083284cfd492 | [
"MIT"
] | 14 | 2021-09-26T06:37:01.000Z | 2022-03-31T12:30:58.000Z | PathPlanning/BidirectionalAStar/bidirectional_a_star.py | taka-robo/PythonRobotics | 3607d72b60cd500806e0f026ac8beb82850a01f9 | [
"MIT"
] | null | null | null | PathPlanning/BidirectionalAStar/bidirectional_a_star.py | taka-robo/PythonRobotics | 3607d72b60cd500806e0f026ac8beb82850a01f9 | [
"MIT"
] | 7 | 2020-11-18T02:15:30.000Z | 2022-03-13T06:47:00.000Z | """
Bidirectional A* grid planning
author: Erwin Lejeune (@spida_rwin)
See Wikipedia article (https://en.wikipedia.org/wiki/Bidirectional_search)
"""
import math
import matplotlib.pyplot as plt
show_animation = True
class BidirectionalAStarPlanner:
def __init__(self, ox, oy, reso, rr):
"""
... | 31.521866 | 79 | 0.503607 |
4fc7c16f71239cf74629b8028742a25ffda46386 | 1,145 | py | Python | 2017/midterm/problem4_closestPower.py | codxse/mitx-600.1 | c1cfa51d5ffe426cb1e84b9c1f2d133213b83962 | [
"MIT"
] | null | null | null | 2017/midterm/problem4_closestPower.py | codxse/mitx-600.1 | c1cfa51d5ffe426cb1e84b9c1f2d133213b83962 | [
"MIT"
] | null | null | null | 2017/midterm/problem4_closestPower.py | codxse/mitx-600.1 | c1cfa51d5ffe426cb1e84b9c1f2d133213b83962 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 12 12:26:38 2017
@author: Nadiar
"""
def closest_power(base, num):
'''
base: base of the exponential, integer > 1
num: number you want to be closest to, integer > 0
Find the integer exponent such that base**exponent is closest to nu... | 27.261905 | 75 | 0.551092 |
81a2cd2cc844c3dfe496f2e2c1b1f8df8ca7ea00 | 1,110 | py | Python | benchmarks/misc/baseline_reduction.py | liberix/taichi | bbd4ba13e021b32dbf9a52507f637aff0851fe39 | [
"MIT"
] | null | null | null | benchmarks/misc/baseline_reduction.py | liberix/taichi | bbd4ba13e021b32dbf9a52507f637aff0851fe39 | [
"MIT"
] | null | null | null | benchmarks/misc/baseline_reduction.py | liberix/taichi | bbd4ba13e021b32dbf9a52507f637aff0851fe39 | [
"MIT"
] | null | null | null | from utils import dtype_size, scale_repeat
import taichi as ti
def reduction(arch, dtype, dsize, repeat=10):
repeat = scale_repeat(arch, dsize, repeat)
n = dsize // dtype_size[dtype]
## fill x
x = ti.field(dtype, shape=n)
if dtype in [ti.f32, ti.f64]:
@ti.kernel
def fill_const... | 21.764706 | 70 | 0.564865 |
4af6e5802c67db6349d95644164290c003945905 | 1,423 | py | Python | uer/encoders/gpt_encoder.py | nju-websoft/TSQA | d0b3f0c3a5e55a46fc5d281cae09597aa7f76e2e | [
"Apache-2.0"
] | 12 | 2020-12-19T05:26:49.000Z | 2022-03-30T13:20:46.000Z | uer/encoders/gpt_encoder.py | nju-websoft/TSQA | d0b3f0c3a5e55a46fc5d281cae09597aa7f76e2e | [
"Apache-2.0"
] | null | null | null | uer/encoders/gpt_encoder.py | nju-websoft/TSQA | d0b3f0c3a5e55a46fc5d281cae09597aa7f76e2e | [
"Apache-2.0"
] | null | null | null | # -*- encoding:utf-8 -*-
import torch
import torch.nn as nn
from uer.layers.layer_norm import LayerNorm
from uer.layers.position_ffn import PositionwiseFeedForward
from uer.layers.multi_headed_attn import MultiHeadedAttention
from uer.layers.transformer import TransformerLayer
class GptEncoder(nn.Module):
... | 33.093023 | 75 | 0.618412 |
d9d3b6767e109b83b4417637015bb4185b5efc85 | 3,979 | py | Python | frontend/myapp/views.py | TanmayHiremath/Traffic-Man | 2c44780b336fd99fc6d4a4914a1c0a9716b19d3f | [
"MIT"
] | null | null | null | frontend/myapp/views.py | TanmayHiremath/Traffic-Man | 2c44780b336fd99fc6d4a4914a1c0a9716b19d3f | [
"MIT"
] | null | null | null | frontend/myapp/views.py | TanmayHiremath/Traffic-Man | 2c44780b336fd99fc6d4a4914a1c0a9716b19d3f | [
"MIT"
] | 1 | 2020-06-27T14:15:55.000Z | 2020-06-27T14:15:55.000Z | # from django.shortcuts import render
# # Create your views here.
# from myapp.models import *
# from .serializers import *
# from django.db.models import Q
# from rest_framework import viewsets
# from rest_framework.response import Response
# from rest_framework.views import APIView
# import numpy as np
# import requ... | 29.474074 | 81 | 0.614727 |
86884156f9b808b026a7183f029318de4c0a4046 | 8,037 | py | Python | cfgov/v1/tests/test_signals.py | Colin-Seifer/consumerfinance.gov | a1a943f7170b498707d642d6be97b9a97a2b52e3 | [
"CC0-1.0"
] | 156 | 2015-01-16T15:16:46.000Z | 2020-08-04T04:48:01.000Z | cfgov/v1/tests/test_signals.py | Colin-Seifer/consumerfinance.gov | a1a943f7170b498707d642d6be97b9a97a2b52e3 | [
"CC0-1.0"
] | 3,604 | 2015-01-05T22:09:12.000Z | 2020-08-14T17:09:19.000Z | cfgov/v1/tests/test_signals.py | Colin-Seifer/consumerfinance.gov | a1a943f7170b498707d642d6be97b9a97a2b52e3 | [
"CC0-1.0"
] | 102 | 2015-01-28T14:51:18.000Z | 2020-08-10T00:00:39.000Z | from unittest import TestCase, mock
from django.contrib.auth.models import User
from django.test import TestCase as DjangoTestCase
from django.utils import timezone
from wagtail.core.models import Site
from model_bakery import baker
from teachers_digital_platform.models import ActivityPage, ActivitySetUp
from v1.mo... | 37.208333 | 78 | 0.690929 |
603e57613bd9d3d31e54f9ca35e2542eb7da5236 | 662 | py | Python | bagdiscovery/models.py | RockefellerArchiveCenter/ursa_major | 44bc4a23a37ec749553ecfcc4914357ab621d4f3 | [
"MIT"
] | null | null | null | bagdiscovery/models.py | RockefellerArchiveCenter/ursa_major | 44bc4a23a37ec749553ecfcc4914357ab621d4f3 | [
"MIT"
] | 99 | 2018-09-26T17:06:36.000Z | 2022-03-28T15:53:46.000Z | bagdiscovery/models.py | RockefellerArchiveCenter/ursa_major | 44bc4a23a37ec749553ecfcc4914357ab621d4f3 | [
"MIT"
] | null | null | null | from asterism.models import BasePackage
from django.db import models
class Accession(models.Model):
data = models.JSONField(null=True, blank=True)
created = models.DateTimeField(auto_now=True)
last_modified = models.DateTimeField(auto_now_add=True)
class Bag(BasePackage):
CREATED = 1
DISCOVERED ... | 30.090909 | 93 | 0.719033 |
d7303df29c2aaa039b1532df9e3acd9c65407786 | 126,962 | py | Python | mrcnn/model.py | ejcv/Mask_RCNN | 7f2ebb55c4fb8b8b0e06ce5cb796d9958fbd8d5b | [
"MIT"
] | null | null | null | mrcnn/model.py | ejcv/Mask_RCNN | 7f2ebb55c4fb8b8b0e06ce5cb796d9958fbd8d5b | [
"MIT"
] | null | null | null | mrcnn/model.py | ejcv/Mask_RCNN | 7f2ebb55c4fb8b8b0e06ce5cb796d9958fbd8d5b | [
"MIT"
] | null | null | null | """
Mask R-CNN
The main Mask R-CNN model implementation.
Copyright (c) 2017 Matterport, Inc.
Licensed under the MIT License (see LICENSE for details)
Written by Waleed Abdulla
"""
import os
import random
import datetime
import re
import math
import logging
from collections import OrderedDict
import multiprocessing
im... | 44.26848 | 115 | 0.612089 |
2c10f60b509ebcc65d4bdf4f50fc06e734bf6d15 | 70 | py | Python | dummyfile.py | LonnonjamesD/EconomyBot | 17db1398f19b9d9dba0d47b498ddf6b63de49c64 | [
"MIT"
] | 1 | 2020-01-03T21:12:58.000Z | 2020-01-03T21:12:58.000Z | dummyfile.py | LonnonjamesD/EconomyBot | 17db1398f19b9d9dba0d47b498ddf6b63de49c64 | [
"MIT"
] | null | null | null | dummyfile.py | LonnonjamesD/EconomyBot | 17db1398f19b9d9dba0d47b498ddf6b63de49c64 | [
"MIT"
] | null | null | null | 5993818^83748378783748372873874837482302490340298393283748357940238038 | 70 | 70 | 0.985714 |
7666e95ccdc8587f4c1bb57443acf22a87065147 | 45,256 | py | Python | Lib/test/test_dict.py | philippeitis/RustPython | 4e057271ecae2c923eb671b0456f2c06a8449b60 | [
"MIT"
] | null | null | null | Lib/test/test_dict.py | philippeitis/RustPython | 4e057271ecae2c923eb671b0456f2c06a8449b60 | [
"MIT"
] | null | null | null | Lib/test/test_dict.py | philippeitis/RustPython | 4e057271ecae2c923eb671b0456f2c06a8449b60 | [
"MIT"
] | null | null | null | import collections
import collections.abc
# import gc // XXX RustPython
import pickle
import random
import string
import sys
import unittest
import weakref
from test import support
class DictTest(unittest.TestCase):
@unittest.skip("TODO: RUSTPYTHON")
def test_invalid_keyword_arguments(self):
class Cu... | 31.647552 | 82 | 0.525676 |
6838be9a56714803a88bf9125df40f7e565a157e | 1,025 | py | Python | gspread/exceptions.py | MilindGaharwar/gspread | bf4f2606f210ac03bda1946810597dd83ab5ed80 | [
"MIT"
] | 3 | 2021-06-15T15:05:33.000Z | 2022-01-31T22:56:19.000Z | gspread/exceptions.py | merbroussard/gspread | d0a69c5e9fa0cd1ae807f29c933e93b7bbb58a1b | [
"MIT"
] | 15 | 2015-01-06T13:41:52.000Z | 2022-03-30T10:37:25.000Z | gspread/exceptions.py | merbroussard/gspread | d0a69c5e9fa0cd1ae807f29c933e93b7bbb58a1b | [
"MIT"
] | 1 | 2018-01-27T20:13:16.000Z | 2018-01-27T20:13:16.000Z | # -*- coding: utf-8 -*-
"""
gspread.exceptions
~~~~~~~~~~~~~~~~~~
Exceptions used in gspread.
"""
class GSpreadException(Exception):
"""A base class for gspread's exceptions."""
class AuthenticationError(GSpreadException):
"""An error during authentication process."""
class SpreadsheetNotFound(GSpreadExce... | 23.837209 | 66 | 0.727805 |
94c59e29177a0d9b2658393bf810adf431801b45 | 6,525 | py | Python | web/servicecalls/salesreports.py | vacoj/mbodjango | e9a6df563862c587e4cc2c2713ed7f8ea0a6e4e3 | [
"MIT"
] | 8 | 2015-10-27T12:38:54.000Z | 2018-02-23T03:03:24.000Z | web/servicecalls/salesreports.py | vacoj/mbodjango | e9a6df563862c587e4cc2c2713ed7f8ea0a6e4e3 | [
"MIT"
] | 3 | 2015-10-28T22:23:58.000Z | 2016-01-13T04:05:04.000Z | web/servicecalls/salesreports.py | vacoj/mbodjango | e9a6df563862c587e4cc2c2713ed7f8ea0a6e4e3 | [
"MIT"
] | 9 | 2015-09-28T17:32:17.000Z | 2018-02-01T00:01:04.000Z | import operator
import datetime
from ..models import ReportsCacheModel
import ast
from ..servicecalls.saleservice_gets import GetSales
class SalesReport:
def __init__(self, sales=None, current=True):
self.SudsResult = sales
self.SaleTotalsByDate = None
self.current = current
self.... | 33.80829 | 92 | 0.555096 |
daea370b5705056386b2c5c2a8bf0ced86144b8e | 4,298 | py | Python | src/sshark.py | mfs-git/sshark | 291d050d0b6fd9f863f48e9cfa86284cd35d575d | [
"MIT"
] | null | null | null | src/sshark.py | mfs-git/sshark | 291d050d0b6fd9f863f48e9cfa86284cd35d575d | [
"MIT"
] | null | null | null | src/sshark.py | mfs-git/sshark | 291d050d0b6fd9f863f48e9cfa86284cd35d575d | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""
This tool used to capture packets (pcap file) by tshark and insert them into a sqlite file
"""
import argparse
import subprocess
import shlex
import sys
import signal
import sqlite3
import xml.etree.cElementTree as ET
__main_author__ = 'M. Fatemipour'
__email__ = 'm.fatemipour@gmail.com'
__date... | 32.315789 | 117 | 0.620754 |
73c34348eabdb5d3ac95175b08536dd288346942 | 79 | py | Python | ioplin/__init__.py | DearCaat/ioplin | e4eae4a60d461d08f9aaf886bea2915282872245 | [
"Apache-2.0"
] | 4 | 2021-06-24T06:04:05.000Z | 2022-03-19T08:49:32.000Z | ioplin/__init__.py | DearCaat/ioplin | e4eae4a60d461d08f9aaf886bea2915282872245 | [
"Apache-2.0"
] | null | null | null | ioplin/__init__.py | DearCaat/ioplin | e4eae4a60d461d08f9aaf886bea2915282872245 | [
"Apache-2.0"
] | 1 | 2021-07-04T07:56:40.000Z | 2021-07-04T07:56:40.000Z | from .train import *
from .predict import *
from keras.models import load_model | 26.333333 | 35 | 0.797468 |
e88459ba2c09f7e054f60aee44fc2dc3052165fa | 9,926 | py | Python | openhgnn/trainerflow/dist_mult.py | zsy0828/OpenHGNN | 7fe0917008c9f50269bbd308e411a1d8199d667d | [
"Apache-2.0"
] | null | null | null | openhgnn/trainerflow/dist_mult.py | zsy0828/OpenHGNN | 7fe0917008c9f50269bbd308e411a1d8199d667d | [
"Apache-2.0"
] | null | null | null | openhgnn/trainerflow/dist_mult.py | zsy0828/OpenHGNN | 7fe0917008c9f50269bbd308e411a1d8199d667d | [
"Apache-2.0"
] | null | null | null | import copy
import dgl
import numpy as np
import torch as th
from tqdm import tqdm
import torch.nn as nn
import torch.nn.functional as F
from . import BaseFlow, register_flow
from ..tasks import build_task
from ..utils import extract_embed
from collections.abc import Mapping
class NegativeSampler(object):
def __i... | 43.535088 | 143 | 0.599839 |
8c547c276425fb4693184383542a946b66b821f9 | 593 | py | Python | kalaida_schvyschkov/server/sv_packages/__init__.py | maxkalayda/stud_projects | e56a9647ca23694ef8c6983cb3b813dadda40d15 | [
"MIT"
] | null | null | null | kalaida_schvyschkov/server/sv_packages/__init__.py | maxkalayda/stud_projects | e56a9647ca23694ef8c6983cb3b813dadda40d15 | [
"MIT"
] | null | null | null | kalaida_schvyschkov/server/sv_packages/__init__.py | maxkalayda/stud_projects | e56a9647ca23694ef8c6983cb3b813dadda40d15 | [
"MIT"
] | null | null | null | from flask import Flask
from flask_login import LoginManager
from flask_sqlalchemy import SQLAlchemy
from os import path
basedir = path.abspath(path.join(path.dirname(__file__), '..', 'sv_packages/templates'))
app = Flask(__name__)
app.secret_key = 'my supersecret key of all apps'
app.config['SQLALCHEMY_DATABASE_URI'... | 26.954545 | 88 | 0.767285 |
88d38be15ae470fc5fbf66e20a289b89cb4fec43 | 278 | py | Python | web/src/blueprints/__init__.py | jphacks/A_2001 | b8f0dce49dc32041d06272593a467242636539a6 | [
"MIT"
] | null | null | null | web/src/blueprints/__init__.py | jphacks/A_2001 | b8f0dce49dc32041d06272593a467242636539a6 | [
"MIT"
] | 7 | 2020-10-31T09:10:47.000Z | 2020-11-06T17:42:58.000Z | web/src/blueprints/__init__.py | jphacks/A_2001 | b8f0dce49dc32041d06272593a467242636539a6 | [
"MIT"
] | null | null | null | from .api import api
from .tasks import tasks
from .auth import auth
from .quests import quests
from .quests_shared import quests_shared
from .subtasks import subtasks
from .users import users
__all__ = ["api", "auth", "quests", "quests_shared", "tasks", "subtasks", "users"]
| 25.272727 | 82 | 0.751799 |
43d8704474f78915a3e4a1975cfea3815e6c948c | 923 | py | Python | 2020/day10.py | hrushikeshrv/aoc | 00b3315cb7119acfe5536ae2dd5a3a78a76b0502 | [
"MIT"
] | 1 | 2020-12-05T03:59:02.000Z | 2020-12-05T03:59:02.000Z | 2020/day10.py | hrushikeshrv/aoc | 00b3315cb7119acfe5536ae2dd5a3a78a76b0502 | [
"MIT"
] | null | null | null | 2020/day10.py | hrushikeshrv/aoc | 00b3315cb7119acfe5536ae2dd5a3a78a76b0502 | [
"MIT"
] | null | null | null | """
#TODO - Add solution to part 2
Problem 10 - https://adventofcode.com/2020/day/10
Part 1 -
Given a set of numbers, find the product of the number of pairs of numbers which differ by 1 and the number of pairs of numbers which differ by 3
Part 1 -
Given the same set of numbers, find the number of ways to arr... | 23.075 | 149 | 0.661972 |
396d3e47ace5edb0e735045e1705adc468f7681d | 886 | py | Python | autoresolution/src/__init__.py | Haehnchen/enigma2-plugins | 23007eb0b78665cd3a2faf98d1d6145b4f0ada3f | [
"OLDAP-2.3"
] | 1 | 2020-01-27T22:53:56.000Z | 2020-01-27T22:53:56.000Z | autoresolution/src/__init__.py | Haehnchen/enigma2-plugins | 23007eb0b78665cd3a2faf98d1d6145b4f0ada3f | [
"OLDAP-2.3"
] | null | null | null | autoresolution/src/__init__.py | Haehnchen/enigma2-plugins | 23007eb0b78665cd3a2faf98d1d6145b4f0ada3f | [
"OLDAP-2.3"
] | null | null | null | # -*- coding: utf-8 -*-
from Components.Language import language
from Tools.Directories import resolveFilename, SCOPE_PLUGINS, SCOPE_LANGUAGE
import os,gettext
PluginLanguageDomain = "AutoResolution"
PluginLanguagePath = "SystemPlugins/AutoResolution/locale"
def localeInit():
lang = language.getLanguage()[:2] # g... | 35.44 | 106 | 0.766366 |
a64d6b7148b862426e291c518b3eae98ceadb0aa | 859 | py | Python | tcpproxy.py | benjaminbrewerton/dlepard | f1279ed798c04df80b501a0a6689f047037196ff | [
"MIT"
] | null | null | null | tcpproxy.py | benjaminbrewerton/dlepard | f1279ed798c04df80b501a0a6689f047037196ff | [
"MIT"
] | null | null | null | tcpproxy.py | benjaminbrewerton/dlepard | f1279ed798c04df80b501a0a6689f047037196ff | [
"MIT"
] | null | null | null | import asyncio
class TCPProxy(asyncio.Protocol):
def __init__(self, ipv4adr, port, interface, receive_handler, loop=None):
if loop is None:
self.loop = asyncio.get_event_loop()
else:
self.loop = loop
self.running = False
self.ip_addr = ipv4adr
self.... | 28.633333 | 91 | 0.6461 |
ef3f19540130364218e18488536191df6983d0a8 | 4,016 | py | Python | torchnlp/datasets/wmt.py | XingxingZhang/PyTorch-NLP | b998dbbd943f7a00f67fd94aacbe5e865577da33 | [
"BSD-3-Clause"
] | 3 | 2018-06-27T13:43:47.000Z | 2022-03-11T05:11:13.000Z | torchnlp/datasets/wmt.py | XingxingZhang/PyTorch-NLP | b998dbbd943f7a00f67fd94aacbe5e865577da33 | [
"BSD-3-Clause"
] | null | null | null | torchnlp/datasets/wmt.py | XingxingZhang/PyTorch-NLP | b998dbbd943f7a00f67fd94aacbe5e865577da33 | [
"BSD-3-Clause"
] | null | null | null | import os
from torchnlp.utils import download_compressed_directory
from torchnlp.datasets.dataset import Dataset
def wmt_dataset(directory='data/wmt16_en_de',
train=False,
dev=False,
test=False,
train_filename='train.tok.clean.bpe.32000',
... | 45.636364 | 126 | 0.65762 |
1d964101cb10bea0a1424a5c53e294517d3b77bc | 155 | py | Python | parser/fase2/team12/src/ENTORNO/Simbolo.py | Josue-Zea/tytus | f9e4be9a8c03eb698fade7a748972e4f52d46685 | [
"MIT"
] | 35 | 2020-12-07T03:11:43.000Z | 2021-04-15T17:38:16.000Z | parser/fase2/team12/src/ENTORNO/Simbolo.py | Josue-Zea/tytus | f9e4be9a8c03eb698fade7a748972e4f52d46685 | [
"MIT"
] | 47 | 2020-12-09T01:29:09.000Z | 2021-01-13T05:37:50.000Z | parser/fase2/team12/src/ENTORNO/Simbolo.py | Josue-Zea/tytus | f9e4be9a8c03eb698fade7a748972e4f52d46685 | [
"MIT"
] | 556 | 2020-12-07T03:13:31.000Z | 2021-06-17T17:41:10.000Z | class Symbol():
def __init__(self, id, data_type, valor):
self.id = id
self.data_type = data_type
self.valor = valor
| 19.375 | 45 | 0.554839 |
6aa38d7c7506a6a74034a099a7fff6b3a11a5c15 | 14,846 | py | Python | microsoft/testsuites/performance/common.py | srveniga/lisa | 0b5bcf028ed4211d79ff90b9f915981c426baab4 | [
"MIT"
] | null | null | null | microsoft/testsuites/performance/common.py | srveniga/lisa | 0b5bcf028ed4211d79ff90b9f915981c426baab4 | [
"MIT"
] | null | null | null | microsoft/testsuites/performance/common.py | srveniga/lisa | 0b5bcf028ed4211d79ff90b9f915981c426baab4 | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import inspect
import pathlib
from typing import Any, Dict, List, Optional, Union, cast
from lisa import Node, RemoteNode, notifier, run_in_parallel
from lisa.environment import Environment
from lisa.messages import (
DiskPerformanceMessage,
... | 36.121655 | 85 | 0.611815 |
10b30fb70ea1bd12e8539b813f96c10d3195f6d6 | 3,244 | py | Python | tf-docker/django/webapp/translation_web/settings.py | xinmang/TensorFlow-test | 5eafe60c2d6a5166583c6384473fe2560f6bdeea | [
"Apache-2.0"
] | 1 | 2018-06-29T07:16:55.000Z | 2018-06-29T07:16:55.000Z | tf-docker/django/webapp/translation_web/settings.py | nciefeiniu/TensorFlow-test | e61db477899b36fdf22248db1968d016b9a9a421 | [
"Apache-2.0"
] | null | null | null | tf-docker/django/webapp/translation_web/settings.py | nciefeiniu/TensorFlow-test | e61db477899b36fdf22248db1968d016b9a9a421 | [
"Apache-2.0"
] | null | null | null | """
Django settings for translation_web project.
Generated by 'django-admin startproject' using Django 1.11.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
imp... | 26.16129 | 91 | 0.694205 |
2577d8bfce8a3225c50699252016a2b415f9a954 | 869 | py | Python | setup.py | ngazagna/safe_grid_search | bb06740a7b3473578b474b118694de2e24150246 | [
"BSD-3-Clause"
] | null | null | null | setup.py | ngazagna/safe_grid_search | bb06740a7b3473578b474b118694de2e24150246 | [
"BSD-3-Clause"
] | null | null | null | setup.py | ngazagna/safe_grid_search | bb06740a7b3473578b474b118694de2e24150246 | [
"BSD-3-Clause"
] | null | null | null |
import numpy as np
from distutils.core import setup
from Cython.Build import cythonize
DISTNAME = 'safegridoptim'
DESCRIPTION = 'Coordinate descent solver for elastic net and l1 logistic'
LONG_DESCRIPTION = open('README.md').read()
MAINTAINER = 'Eugene Ndiaye'
MAINTAINER_EMAIL = 'ndiayeeugene@gmail.com'
LICENSE = 'BS... | 29.965517 | 73 | 0.735328 |
6d51b85a91f8ba204c604eb1ad5333fa51eb0fa8 | 235 | py | Python | pacman-arch/test/pacman/tests/sync104.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/sync104.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/sync104.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "-Suu"
sp = pmpkg("dummy", "0.9-1")
lp = pmpkg("dummy", "1.0-1")
self.addpkg2db("sync", sp)
self.addpkg2db("local", lp)
self.args = "-Suu"
self.addrule("PACMAN_RETCODE=0")
self.addrule("PKG_VERSION=dummy|0.9-1")
| 18.076923 | 39 | 0.655319 |
2832e76a75b14d65485b551b477ee8fec1daeb5c | 1,807 | py | Python | tests/test.py | ChristofDubs/DoubleBallBalancer | 6869220ed9f8c5234b00fc653bf05bb7e0bf6737 | [
"Apache-2.0"
] | 3 | 2018-04-08T13:32:26.000Z | 2018-06-29T16:15:50.000Z | tests/test.py | ChristofDubs/DoubleBallBalancer | 6869220ed9f8c5234b00fc653bf05bb7e0bf6737 | [
"Apache-2.0"
] | null | null | null | tests/test.py | ChristofDubs/DoubleBallBalancer | 6869220ed9f8c5234b00fc653bf05bb7e0bf6737 | [
"Apache-2.0"
] | 1 | 2020-07-18T03:47:41.000Z | 2020-07-18T03:47:41.000Z | import unittest
import numpy as np
import context
from model_2d.controller_2 import Controller as Controller2
from model_2d.dynamics_2 import StateIndex as StateIndex2
from model_2d.controller_3 import Controller as Controller3
from model_2d.dynamics_3 import StateIndex as StateIndex3
from model_2d.param import getD... | 30.116667 | 76 | 0.663531 |
048c97aa6e972722ee96c6f677210e8f09287695 | 35,675 | py | Python | pyqt_app/taskwidgetui.py | fffoobibi/pyqt_novel | 08141735ce7937f817f99686bfc239259604558c | [
"MIT"
] | null | null | null | pyqt_app/taskwidgetui.py | fffoobibi/pyqt_novel | 08141735ce7937f817f99686bfc239259604558c | [
"MIT"
] | null | null | null | pyqt_app/taskwidgetui.py | fffoobibi/pyqt_novel | 08141735ce7937f817f99686bfc239259604558c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '.\task_widget.ui'
#
# Created by: PyQt5 UI code generator 5.15.1
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore... | 56.269716 | 164 | 0.70918 |
19d30a0e8303dd7f558a8039eef41a64b8affc5a | 7,342 | py | Python | catkin_tools/jobs/commands/cmake.py | iwanders/catkin_tools | 76bfe96cc18cdf4b4e88a1f764f73260f77843b5 | [
"Apache-2.0"
] | null | null | null | catkin_tools/jobs/commands/cmake.py | iwanders/catkin_tools | 76bfe96cc18cdf4b4e88a1f764f73260f77843b5 | [
"Apache-2.0"
] | null | null | null | catkin_tools/jobs/commands/cmake.py | iwanders/catkin_tools | 76bfe96cc18cdf4b4e88a1f764f73260f77843b5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 Open Source Robotics Foundation, 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... | 41.480226 | 119 | 0.652411 |
a7b32b1c0e08ff923d00c75837198cf6fe90e147 | 14,074 | py | Python | datalad/support/tests/test_fileinfo.py | mslw/datalad | 5adfde7818a9582cd12c2d25fe6f008132de1b2f | [
"MIT"
] | 298 | 2015-01-25T17:36:29.000Z | 2022-03-20T03:38:47.000Z | datalad/support/tests/test_fileinfo.py | adswa/datalad | c86643fe2e974da8d7403e9799997efcfee97384 | [
"MIT"
] | 6,387 | 2015-01-02T18:15:01.000Z | 2022-03-31T20:58:58.000Z | datalad/support/tests/test_fileinfo.py | adswa/datalad | c86643fe2e974da8d7403e9799997efcfee97384 | [
"MIT"
] | 109 | 2015-01-25T17:49:40.000Z | 2022-03-06T06:54:54.000Z | # ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
"""Test file info g... | 37.631016 | 87 | 0.62619 |
694af4168970c99ad8aea7a0af5a3636e2ee04fe | 1,565 | py | Python | book/book/pipelines.py | qingtianfei/Dangdangspider | bdfc5c83fbda4ba0f5afef31265d17b9dc8f1f5c | [
"MIT"
] | null | null | null | book/book/pipelines.py | qingtianfei/Dangdangspider | bdfc5c83fbda4ba0f5afef31265d17b9dc8f1f5c | [
"MIT"
] | null | null | null | book/book/pipelines.py | qingtianfei/Dangdangspider | bdfc5c83fbda4ba0f5afef31265d17b9dc8f1f5c | [
"MIT"
] | 1 | 2019-11-16T12:11:24.000Z | 2019-11-16T12:11:24.000Z | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
import requests
import os
import pymysql
db = pymysql.connect(host = "localhost",port = 3306, user = "root",password = "", ... | 30.096154 | 151 | 0.514377 |
125b79dd286390a2c4eb5d9b9401b2b8216a6a7d | 40,843 | py | Python | residue/crud/orm.py | magfest/residue | d8621d8a9c43c19b67f0ee532655aaeaaae4ca62 | [
"BSD-3-Clause"
] | 1 | 2018-02-26T19:03:19.000Z | 2018-02-26T19:03:19.000Z | residue/crud/orm.py | magfest/residue | d8621d8a9c43c19b67f0ee532655aaeaaae4ca62 | [
"BSD-3-Clause"
] | null | null | null | residue/crud/orm.py | magfest/residue | d8621d8a9c43c19b67f0ee532655aaeaaae4ca62 | [
"BSD-3-Clause"
] | 2 | 2018-02-05T19:49:30.000Z | 2018-02-24T18:10:30.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2017 the Residue team, see AUTHORS.
# Licensed under the BSD License, see LICENSE for details.
"""CRUD support for SQLAlchemy orm objects."""
from __future__ import absolute_import
import collections
import inspect
import re
import uuid
from collections import defaultdict, Mapp... | 43.729122 | 118 | 0.594251 |
8296c4d4712c50f06a43899ea8df455a1baee006 | 821 | py | Python | src/test_workflow/perf_test/perf_test_runner.py | naveenpajjuri/opensearch-build | 855f0296b36ba32b18cf4fc40b096659b5b3f1f0 | [
"Apache-2.0"
] | null | null | null | src/test_workflow/perf_test/perf_test_runner.py | naveenpajjuri/opensearch-build | 855f0296b36ba32b18cf4fc40b096659b5b3f1f0 | [
"Apache-2.0"
] | null | null | null | src/test_workflow/perf_test/perf_test_runner.py | naveenpajjuri/opensearch-build | 855f0296b36ba32b18cf4fc40b096659b5b3f1f0 | [
"Apache-2.0"
] | null | null | null | # SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
import abc
import os
from manifests.bundle_manifest import BundleManifest
from test_workflow.perf_test.perf_args import PerfAr... | 32.84 | 133 | 0.73447 |
c7fd094ba0bfa565e25600a10ee0e3e77a78e98f | 16,830 | py | Python | c2cgeoportal/scaffolds/update/CONST_alembic/main/versions/415746eb9f6_changes_for_v2.py | craxxkid/c2cgeoportal | 60ca7d5d014d69b0a938f858271c911a30da77c3 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | c2cgeoportal/scaffolds/update/CONST_alembic/main/versions/415746eb9f6_changes_for_v2.py | craxxkid/c2cgeoportal | 60ca7d5d014d69b0a938f858271c911a30da77c3 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | c2cgeoportal/scaffolds/update/CONST_alembic/main/versions/415746eb9f6_changes_for_v2.py | craxxkid/c2cgeoportal | 60ca7d5d014d69b0a938f858271c911a30da77c3 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2014-2016, Camptocamp SA
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this
#... | 41.555556 | 100 | 0.644742 |
e486effd351757fcc0884067943b4129ba26f878 | 1,694 | py | Python | scripts/export-dos-opportunities.py | alphagov-mirror/digitalmarketplace-scripts | 8a7ef9b2b5f5fffea6e012bd676b095a27d35101 | [
"MIT"
] | 1 | 2020-06-23T01:55:31.000Z | 2020-06-23T01:55:31.000Z | scripts/export-dos-opportunities.py | alphagov-mirror/digitalmarketplace-scripts | 8a7ef9b2b5f5fffea6e012bd676b095a27d35101 | [
"MIT"
] | 267 | 2015-10-12T12:43:52.000Z | 2021-08-19T10:38:55.000Z | scripts/export-dos-opportunities.py | alphagov-mirror/digitalmarketplace-scripts | 8a7ef9b2b5f5fffea6e012bd676b095a27d35101 | [
"MIT"
] | 7 | 2015-11-11T16:47:41.000Z | 2021-04-10T18:03:04.000Z | #!/usr/bin/env python3
"""Generate DOS opportunity data export CSV
Loads data from the Brief and BriefResponse API models, filters for
closed/awarded briefs and stores the output in the CSV.
This script generates two CSVs, one with buyer user details and one without.
The CSV without buyer user details is made public... | 33.88 | 92 | 0.753837 |
3832ea4c713b1d009149a89fe5add279d5d6762a | 363 | py | Python | src/rst2text/__main__.py | 1oglop1/rst2text | 730b1bf5b9f7d9c223e0252837f37ce6e51b751e | [
"MIT"
] | null | null | null | src/rst2text/__main__.py | 1oglop1/rst2text | 730b1bf5b9f7d9c223e0252837f37ce6e51b751e | [
"MIT"
] | null | null | null | src/rst2text/__main__.py | 1oglop1/rst2text | 730b1bf5b9f7d9c223e0252837f37ce6e51b751e | [
"MIT"
] | null | null | null | """
Entrypoint module, in case you use `python -mrst2text`.
Why does this file exist, and why __main__? For more info, read:
- https://www.python.org/dev/peps/pep-0338/
- https://docs.python.org/2/using/cmdline.html#cmdoption-m
- https://docs.python.org/3/using/cmdline.html#cmdoption-m
"""
from rst2text.cli import m... | 24.2 | 64 | 0.716253 |
d2b64f99c6695fed163a22dce173932f01aed20e | 4,737 | py | Python | axelrod/tests/integration/test_filtering.py | nandhinianandj/Axelrod | 379b907d64c51816a50abfd8480240276c893953 | [
"MIT"
] | 596 | 2015-03-30T17:34:14.000Z | 2022-03-21T19:32:38.000Z | axelrod/tests/integration/test_filtering.py | nandhinianandj/Axelrod | 379b907d64c51816a50abfd8480240276c893953 | [
"MIT"
] | 1,018 | 2015-03-30T14:57:33.000Z | 2022-03-14T14:57:48.000Z | axelrod/tests/integration/test_filtering.py | nandhinianandj/Axelrod | 379b907d64c51816a50abfd8480240276c893953 | [
"MIT"
] | 263 | 2015-03-31T10:26:28.000Z | 2022-03-29T09:26:02.000Z | import unittest
import warnings
import axelrod as axl
from axelrod.tests.property import strategy_lists
from hypothesis import example, given, settings
from hypothesis.strategies import integers, lists, sampled_from
def classifiers_lists(min_size=1, max_size=5):
"""
A function to return a list of classifiers... | 31.58 | 80 | 0.610091 |
9c34799279023f2497ddaff2cf479492b85d1fce | 2,983 | py | Python | tests/unit/algorithms/TransientAdvectionDiffusionTest.py | Jimmy-INL/OpenPNM | 1546fa1ac2204443bde916f2037fac383c5069ae | [
"MIT"
] | 1 | 2020-06-08T19:48:00.000Z | 2020-06-08T19:48:00.000Z | tests/unit/algorithms/TransientAdvectionDiffusionTest.py | Jimmy-INL/OpenPNM | 1546fa1ac2204443bde916f2037fac383c5069ae | [
"MIT"
] | null | null | null | tests/unit/algorithms/TransientAdvectionDiffusionTest.py | Jimmy-INL/OpenPNM | 1546fa1ac2204443bde916f2037fac383c5069ae | [
"MIT"
] | null | null | null | import numpy as np
import scipy as sp
import openpnm as op
class TransientAdvectionDiffusionTest:
def setup_class(self):
np.random.seed(0)
self.net = op.network.Cubic(shape=[4, 3, 1], spacing=1.0)
self.geo = op.geometry.GenericGeometry(network=self.net,
... | 39.773333 | 78 | 0.573584 |
8c60aa0cc192fe4fb0f1695abf7f5f15c83739b4 | 3,144 | py | Python | CIM16/IEC61970/Informative/InfLocations/LocationGrant.py | MaximeBaudette/PyCIM | d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14 | [
"MIT"
] | null | null | null | CIM16/IEC61970/Informative/InfLocations/LocationGrant.py | MaximeBaudette/PyCIM | d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14 | [
"MIT"
] | null | null | null | CIM16/IEC61970/Informative/InfLocations/LocationGrant.py | MaximeBaudette/PyCIM | d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14 | [
"MIT"
] | 1 | 2021-04-02T18:04:49.000Z | 2021-04-02T18:04:49.000Z | # Copyright (C) 2010-2011 Richard Lincoln
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish... | 48.369231 | 397 | 0.724237 |
a1b43197d4ca5dd3de486f2766065c87fb56e7b4 | 5,487 | py | Python | tests/integration_tests/test_integration.py | JimmyBoyle/FeatureToggles | 7e6ec7619764ee93882fb9c07f7076e076023eb9 | [
"MIT"
] | null | null | null | tests/integration_tests/test_integration.py | JimmyBoyle/FeatureToggles | 7e6ec7619764ee93882fb9c07f7076e076023eb9 | [
"MIT"
] | 1 | 2018-11-02T22:00:08.000Z | 2018-11-02T22:00:08.000Z | tests/integration_tests/test_integration.py | JimmyBoyle/FeatureToggles | 7e6ec7619764ee93882fb9c07f7076e076023eb9 | [
"MIT"
] | null | null | null | import boto3
import json
import lambda_functions
import sys
lambda_client = boto3.client('lambda')
def test_basic_load():
updates = {
"operator_id": "tester",
"updates": [
{
"action": "SET",
"toggle_name": "feature1",
"dimension": "dimen... | 24.278761 | 60 | 0.446692 |
9f28a123848cd59592f4ab2a4ba4e8be20ca9391 | 1,829 | py | Python | apiV1/routes/driver.py | DerKip/Ride-My-Way | 30600349b4225272c4b6e78851c1dce96e586d31 | [
"MIT"
] | 1 | 2021-04-06T07:18:06.000Z | 2021-04-06T07:18:06.000Z | apiV1/routes/driver.py | DerKip/Ride-My-Way | 30600349b4225272c4b6e78851c1dce96e586d31 | [
"MIT"
] | 13 | 2018-06-13T05:09:35.000Z | 2019-10-21T16:15:50.000Z | apiV1/routes/driver.py | DerKip/Ride-My-Way | 30600349b4225272c4b6e78851c1dce96e586d31 | [
"MIT"
] | 1 | 2019-05-08T14:40:51.000Z | 2019-05-08T14:40:51.000Z | from flask import Blueprint, jsonify, request, Response
from ..app.controllers import registration_controller, rides_controller
from ..models.rides import all_ride_offers
from utils import JSON_MIME_TYPE, json_response
driver_route = Blueprint("route_driver",__name__)
@driver_route.route('/register', methods=['POS... | 35.862745 | 83 | 0.718972 |
b230d891805bd7cec875dae1d28fff1ec4770671 | 2,201 | py | Python | ITP2/ITP2_10_D.py | yu8ikmnbgt6y/MyAOJ | 474b21a2a0c25e1c1f3d6d66d2a2ea52aecaa39b | [
"Unlicense"
] | 1 | 2020-01-08T16:33:46.000Z | 2020-01-08T16:33:46.000Z | ITP2/ITP2_10_D.py | yu8ikmnbgt6y/MyAOJ | 474b21a2a0c25e1c1f3d6d66d2a2ea52aecaa39b | [
"Unlicense"
] | null | null | null | ITP2/ITP2_10_D.py | yu8ikmnbgt6y/MyAOJ | 474b21a2a0c25e1c1f3d6d66d2a2ea52aecaa39b | [
"Unlicense"
] | null | null | null | import sys
import io
import time
import pprint
input_txt = """
3
3 0 1 3
1 3
3 0 1 2
8
1 0
2 1
3 1
4 2
5 2
6 2
7 2
8 2
"""
sys.stdin = io.StringIO(input_txt);input()
#sys.stdin = open('in.test')
start = time.time()
# copy the below part and paste to the submission form.
# ---------function---... | 21.163462 | 72 | 0.524307 |
862fc353c28cda53807147358ed0f087f58f4ca4 | 1,197 | py | Python | profiles_api/serializers.py | khangnguyen211195/profiles-rest-api | b74577159874e100b06e682814b465ef175d7d2f | [
"MIT"
] | null | null | null | profiles_api/serializers.py | khangnguyen211195/profiles-rest-api | b74577159874e100b06e682814b465ef175d7d2f | [
"MIT"
] | null | null | null | profiles_api/serializers.py | khangnguyen211195/profiles-rest-api | b74577159874e100b06e682814b465ef175d7d2f | [
"MIT"
] | null | null | null | from rest_framework import serializers
from profiles_api import models
class HelloSerializer(serializers.Serializer):
"""Serializes a name field for testing our APIView"""
name = serializers.CharField(max_length = 10)
class UserProfileSerializer(serializers.ModelSerializer):
"""Serializes a user profil... | 29.925 | 68 | 0.621554 |
5f5bad289bafe45d52b9a87b7dd7279ef0ae305c | 5,948 | py | Python | jello/cli.py | roehling/jello | 1073355e2bbfcd4f92af2584c9e539ce34859fc0 | [
"MIT"
] | null | null | null | jello/cli.py | roehling/jello | 1073355e2bbfcd4f92af2584c9e539ce34859fc0 | [
"MIT"
] | null | null | null | jello/cli.py | roehling/jello | 1073355e2bbfcd4f92af2584c9e539ce34859fc0 | [
"MIT"
] | null | null | null | """jello - query JSON at the command line with python syntax"""
import os
import sys
import textwrap
import signal
import jello
from jello.lib import opts, load_json, pyquery, Schema, Json
def ctrlc(signum, frame):
"""exit with error on SIGINT"""
sys.exit(1)
def get_stdin():
"""return STDIN data"""
... | 29.156863 | 98 | 0.561533 |
a9b08e21bf2138a7f53246cef7d893882f651385 | 7,818 | py | Python | tests/test_patches_chains.py | IzeBerg/python-wgus | c457af6ea57c40c7a2552fb69db1dd74bc6c9740 | [
"MIT"
] | null | null | null | tests/test_patches_chains.py | IzeBerg/python-wgus | c457af6ea57c40c7a2552fb69db1dd74bc6c9740 | [
"MIT"
] | null | null | null | tests/test_patches_chains.py | IzeBerg/python-wgus | c457af6ea57c40c7a2552fb69db1dd74bc6c9740 | [
"MIT"
] | null | null | null | import pytest
from wgus import PatchesChains, get_patches_chains
def test_parse():
data = """
<protocol name="patches_chain" version="1.9" wgc_publisher_id="wargaming,steam">
<patches_chain type="install">
<patch>
<files>
<file>
<name>wot_1.14.1.3252_ru_vtlj1d/wot_1.14.1.1663850_locale_ru... | 32.040984 | 110 | 0.680353 |
1d8e9b0c45344da5cc18e06555c10b334404499b | 3,970 | py | Python | tests/test_builder.py | georgeyk/simple-model | 95eaacb0da70364c1ee3aaf5e0d205f8e3255dfe | [
"MIT"
] | null | null | null | tests/test_builder.py | georgeyk/simple-model | 95eaacb0da70364c1ee3aaf5e0d205f8e3255dfe | [
"MIT"
] | null | null | null | tests/test_builder.py | georgeyk/simple-model | 95eaacb0da70364c1ee3aaf5e0d205f8e3255dfe | [
"MIT"
] | null | null | null | import typing
import pytest
from simple_model.builder import model_builder, model_class_builder, model_many_builder
from simple_model import Model, to_dict
def test_model_class_builder():
Birl = model_class_builder('Birl', {'f': 'foo', 'b': 'bar'})
birl = Birl()
assert isinstance(birl, Model)
keys ... | 24.658385 | 87 | 0.615113 |
272f65947e07bdacc5832ed3acdce26b0e3b04d2 | 3,533 | py | Python | vprof/profiler.py | ltetrel/vprof | 4cab77f345be71b8f2841e0af7f32979e17b9b44 | [
"BSD-2-Clause"
] | 4,222 | 2015-07-19T06:16:39.000Z | 2022-03-31T13:04:35.000Z | vprof/profiler.py | ltetrel/vprof | 4cab77f345be71b8f2841e0af7f32979e17b9b44 | [
"BSD-2-Clause"
] | 105 | 2015-12-18T10:33:08.000Z | 2022-01-03T21:15:51.000Z | vprof/profiler.py | ltetrel/vprof | 4cab77f345be71b8f2841e0af7f32979e17b9b44 | [
"BSD-2-Clause"
] | 224 | 2015-12-22T20:54:53.000Z | 2022-01-05T20:27:25.000Z | """Profiler wrapper module."""
import cProfile
import operator
import pstats
import runpy
import time
from vprof import base_profiler
class Profiler(base_profiler.BaseProfiler):
"""Python profiler wrapper.
Runs cProfile on specified program and returns collected stats.
"""
@staticmethod
def _tr... | 34.980198 | 77 | 0.600906 |
23d7b7136e43be77be11baa7da44e767ad821cb9 | 2,935 | py | Python | src/tests/crazy_mesh_test.py | Idate96/Mimetic-Fem | 75ad3b982ef7ed7c6198f526d19dc460dec28f4d | [
"MIT"
] | null | null | null | src/tests/crazy_mesh_test.py | Idate96/Mimetic-Fem | 75ad3b982ef7ed7c6198f526d19dc460dec28f4d | [
"MIT"
] | null | null | null | src/tests/crazy_mesh_test.py | Idate96/Mimetic-Fem | 75ad3b982ef7ed7c6198f526d19dc460dec28f4d | [
"MIT"
] | null | null | null | """Module to test mapping of compuational domain into an arbitrary one."""
import path_magic
import unittest
import os
import mesh
import numpy as np
import matplotlib.pyplot as plt
import numpy.testing as npt
# os.chdir(os.getcwd() + '/tests')
class TestMappingMesh22(unittest.TestCase):
def setUp(self):
... | 41.928571 | 101 | 0.587394 |
ec6ba2fdddb957f8f47695187781177ac2dbd234 | 66 | py | Python | npbench/benchmarks/polybench/bicg/bicg_cupy.py | frahlg/npbench | 1bc4d9e2e22f3ca67fa2bc7f40e2e751a9c8dd26 | [
"BSD-3-Clause"
] | 27 | 2021-05-10T11:49:13.000Z | 2022-03-22T18:07:19.000Z | npbench/benchmarks/polybench/bicg/bicg_cupy.py | frahlg/npbench | 1bc4d9e2e22f3ca67fa2bc7f40e2e751a9c8dd26 | [
"BSD-3-Clause"
] | 3 | 2021-12-01T13:03:17.000Z | 2022-03-17T10:53:00.000Z | npbench/benchmarks/polybench/bicg/bicg_cupy.py | frahlg/npbench | 1bc4d9e2e22f3ca67fa2bc7f40e2e751a9c8dd26 | [
"BSD-3-Clause"
] | 7 | 2021-06-24T03:40:25.000Z | 2022-01-26T09:04:33.000Z | import cupy as np
def kernel(A, p, r):
return r @ A, A @ p
| 9.428571 | 23 | 0.545455 |
a212c64c25f9aba5d25f36332b608ab569738d40 | 4,045 | py | Python | soln_obamacon.py | GirlswhocodeKS2017/obamacon-photo | 3508f20163dc4a4ec1dfd5b3ddb8ae223944f4c9 | [
"MIT"
] | null | null | null | soln_obamacon.py | GirlswhocodeKS2017/obamacon-photo | 3508f20163dc4a4ec1dfd5b3ddb8ae223944f4c9 | [
"MIT"
] | null | null | null | soln_obamacon.py | GirlswhocodeKS2017/obamacon-photo | 3508f20163dc4a4ec1dfd5b3ddb8ae223944f4c9 | [
"MIT"
] | null | null | null | from PIL import Image
def change_pixel_colors(my_image,obamacon_colors):
"""
Your image is coverted to pixels with a certain color (rgb value).
pixel_data_list is a list of tuples. It is a list of pixels, but every pixel
has 3 rgb values.
(1) Print the pixel_data_list. What do you see? Does it m... | 36.772727 | 83 | 0.663782 |
456430e72bf8eec0aaab4f8256291c238aef71aa | 526 | py | Python | Egzersiz/ali/NoSQLEgzersiz.py.py | ibrahimediz/ornekproje | c5ebeafc43a9c6d2aa639d0d95eedbce65991576 | [
"Apache-2.0"
] | null | null | null | Egzersiz/ali/NoSQLEgzersiz.py.py | ibrahimediz/ornekproje | c5ebeafc43a9c6d2aa639d0d95eedbce65991576 | [
"Apache-2.0"
] | null | null | null | Egzersiz/ali/NoSQLEgzersiz.py.py | ibrahimediz/ornekproje | c5ebeafc43a9c6d2aa639d0d95eedbce65991576 | [
"Apache-2.0"
] | null | null | null | import pymongo
cli = pymongo.MongoClient("mongodb+srv://dbuser:dbUser123@cluster0.6iawp.mongodb.net/myFirstDatabase?retryWrites=true&w=majority")
# print(*cli.list_database_names(),sep="\n")
db = cli["patika"]
print(*db.list_collection_names(),sep="\n")
col = db["153_yemeksepeti"]
# yukarıdaki kod bloğunu kullanarak ... | 47.818182 | 149 | 0.754753 |
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