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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70f9780dd1066df809bf256c632987a9ff361e1c | 1,893 | py | Python | lecarb/estimator/estimator.py | anshumandutt/AreCELearnedYet | e2286c3621dea8e4961057b6197c1e14e75aea5a | [
"MIT"
] | 34 | 2020-12-14T01:21:29.000Z | 2022-03-29T04:52:46.000Z | lecarb/estimator/estimator.py | anshumandutt/AreCELearnedYet | e2286c3621dea8e4961057b6197c1e14e75aea5a | [
"MIT"
] | 5 | 2020-12-28T16:06:22.000Z | 2022-01-19T18:28:53.000Z | lecarb/estimator/estimator.py | anshumandutt/AreCELearnedYet | e2286c3621dea8e4961057b6197c1e14e75aea5a | [
"MIT"
] | 12 | 2021-02-08T17:50:13.000Z | 2022-03-28T11:09:06.000Z | import time
import logging
import numpy as np
from typing import Tuple, Any
from ..workload.workload import Query, query_2_triple
from ..dataset.dataset import Table
L = logging.getLogger(__name__)
class Estimator(object):
"""Base class for a cardinality estimator."""
def __init__(self, table: Table, **kwargs... | 31.032787 | 94 | 0.605917 |
7e1c37ec37782385c3f5577272f4ed283a511c87 | 8,756 | py | Python | pypy/module/cpyext/memoryobject.py | SeraphRoy/PyPy-Functional | e825dce7f7c484fa666566974a93ed5d59fb73be | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | pypy/module/cpyext/memoryobject.py | SeraphRoy/PyPy-Functional | e825dce7f7c484fa666566974a93ed5d59fb73be | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | pypy/module/cpyext/memoryobject.py | SeraphRoy/PyPy-Functional | e825dce7f7c484fa666566974a93ed5d59fb73be | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | from rpython.rlib.objectmodel import keepalive_until_here
from pypy.interpreter.error import oefmt
from pypy.module.cpyext.api import (
cpython_api, Py_buffer, CANNOT_FAIL, Py_MAX_FMT, Py_MAX_NDIMS,
build_type_checkers, Py_ssize_tP, PyObjectFields, cpython_struct,
bootstrap_function, Py_bufferP, slot_functi... | 38.069565 | 82 | 0.668342 |
bc1bc53909301bdbb2f581959b4822dcd2eea90e | 10,170 | py | Python | library/search_indexes.py | stewardshiptools/stewardshiptools | ee5d27e7b0d5d4947f34ad02bdf63a06ad0a5c3e | [
"MIT"
] | null | null | null | library/search_indexes.py | stewardshiptools/stewardshiptools | ee5d27e7b0d5d4947f34ad02bdf63a06ad0a5c3e | [
"MIT"
] | 11 | 2020-03-24T15:29:46.000Z | 2022-03-11T23:14:48.000Z | library/search_indexes.py | stewardshiptools/stewardshiptools | ee5d27e7b0d5d4947f34ad02bdf63a06ad0a5c3e | [
"MIT"
] | null | null | null | from haystack import indexes
from library.models import Item, CaseBrief, SynthesisItem, Synthesis, CollectionTag
name_boost = 1.25
class LibraryCommonIndexPropertiesMixin(object):
belongs_to = indexes.CharField()
# class ItemIndex(indexes.SearchIndex): # this would disable indexing for this index class.
class I... | 39.571984 | 126 | 0.726549 |
3d55fba3865da043632ac5893d58b4b95007fb77 | 1,789 | py | Python | asyncio_pool/mx_asyncgen.py | alvistack/gistart-asyncio-pool | 1da1080594a51e59a4c0d9d58879513e6583fdd2 | [
"MIT"
] | 79 | 2018-07-22T18:41:29.000Z | 2022-03-31T17:48:30.000Z | asyncio_pool/mx_asyncgen.py | alvistack/gistart-asyncio-pool | 1da1080594a51e59a4c0d9d58879513e6583fdd2 | [
"MIT"
] | 5 | 2019-12-08T01:21:51.000Z | 2020-08-05T10:34:48.000Z | asyncio_pool/mx_asyncgen.py | alvistack/gistart-asyncio-pool | 1da1080594a51e59a4c0d9d58879513e6583fdd2 | [
"MIT"
] | 10 | 2019-02-05T20:32:55.000Z | 2021-11-11T12:29:50.000Z | '''Mixin for BaseAioPool with async generator features, python3.6+'''
import asyncio as aio
from .results import getres
async def iterwait(futures, *, flat=True, get_result=getres.flat,
timeout=None, yield_when=aio.ALL_COMPLETED, loop=None):
'''Wraps `asyncio.wait` into asynchronous generator, accessible... | 40.659091 | 80 | 0.65232 |
ef40072b93837edd3f0cc3036b0617daf18c9469 | 124 | py | Python | tests/test_inductivestep.py | dmgolembiowski/edbpool | 665eefd31a12e6c469e2eef9e588e169e475ec9e | [
"Apache-2.0"
] | 1 | 2020-05-08T05:57:50.000Z | 2020-05-08T05:57:50.000Z | tests/test_inductivestep.py | dmgolembiowski/edbpool-server | 665eefd31a12e6c469e2eef9e588e169e475ec9e | [
"Apache-2.0"
] | 1 | 2020-05-04T19:54:00.000Z | 2020-05-05T06:57:04.000Z | tests/test_inductivestep.py | dmgolembiowski/edbpool | 665eefd31a12e6c469e2eef9e588e169e475ec9e | [
"Apache-2.0"
] | 1 | 2020-05-08T05:58:11.000Z | 2020-05-08T05:58:11.000Z | from unittest import TestCase
class InductiveStepTestCase(TestCase):
def test(self):
self.assertEqual(0+1, 1)
| 17.714286 | 38 | 0.717742 |
cb6984d9f3004230bb8313d19f279620d603f172 | 6,624 | py | Python | justap_server_sdk_python/models/v1_channel.py | justapnet/justap-server-sdk-python | 2d3110c6447833334fa2f7e93ffa63e06913df17 | [
"Apache-2.0"
] | null | null | null | justap_server_sdk_python/models/v1_channel.py | justapnet/justap-server-sdk-python | 2d3110c6447833334fa2f7e93ffa63e06913df17 | [
"Apache-2.0"
] | null | null | null | justap_server_sdk_python/models/v1_channel.py | justapnet/justap-server-sdk-python | 2d3110c6447833334fa2f7e93ffa63e06913df17 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Justap API
欢迎阅读 Justap Api 文档 Justap 是为移动端应用和PC端应用打造的下一代聚合支付SAAS服务平台，通过一个 SDK 即可快速的支持各种形式的应用，并且一次接口完成多个不同支付渠道的接入。平台除了支持服务商子商户模式，同时还对商家自有商户（即自己前往微信、支付宝等机构开户）提供了完整的支持。 感谢您的支持，我们将不断探索，为您提供更优质的服务！如需技术支持可前往商户中心提交工单，支持工程师会尽快与您取得联系！ # 文档说明 采用 REST 风格设计。所有接口请求地址都是可预期的以及面向资源的。使用规范的 HTTP 响应代码来表示请... | 57.103448 | 3,404 | 0.683273 |
dbd24b1e3d7696b016c49aa64680a5efdfcfcef4 | 5,099 | bzl | Python | dependency_support/repo.bzl | cbalint13/xls | 7033a1482dc6f536d15d46d3954187c9845bba2a | [
"Apache-2.0"
] | null | null | null | dependency_support/repo.bzl | cbalint13/xls | 7033a1482dc6f536d15d46d3954187c9845bba2a | [
"Apache-2.0"
] | null | null | null | dependency_support/repo.bzl | cbalint13/xls | 7033a1482dc6f536d15d46d3954187c9845bba2a | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The XLS Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 34.924658 | 85 | 0.635811 |
dd025c7d6df2e07e28458d483bdf902a0623b5c7 | 2,352 | py | Python | resamble.py | Asseel-Naji/stutter_AI | 9992eae8b39e7f73f35c51069e2a55f1080f42d4 | [
"MIT"
] | null | null | null | resamble.py | Asseel-Naji/stutter_AI | 9992eae8b39e7f73f35c51069e2a55f1080f42d4 | [
"MIT"
] | null | null | null | resamble.py | Asseel-Naji/stutter_AI | 9992eae8b39e7f73f35c51069e2a55f1080f42d4 | [
"MIT"
] | null | null | null | #I officially GIVE UP ON THIS FUNCTION.
# In order to remove silence I have to split into mono, then resample and then clean
# and EVEN AFTER I managed to do all that, the script I use to remove silence doesn't like
# libosa resambling, however when I manually resamble with audacity it works just fine.
# THIS MAKES NO ... | 36.75 | 190 | 0.650935 |
917b7d755599e783c340a33573e71777747e148a | 58 | py | Python | test/unit/test_topologies/test_abc/__init__.py | MichalKononenko/FoundationsOfMechanics | d1ca2cc961a98be4761b3938f3a7f58d82daed62 | [
"MIT"
] | null | null | null | test/unit/test_topologies/test_abc/__init__.py | MichalKononenko/FoundationsOfMechanics | d1ca2cc961a98be4761b3938f3a7f58d82daed62 | [
"MIT"
] | null | null | null | test/unit/test_topologies/test_abc/__init__.py | MichalKononenko/FoundationsOfMechanics | d1ca2cc961a98be4761b3938f3a7f58d82daed62 | [
"MIT"
] | null | null | null | """
Contains unit tests for :mod:`fom.topologies.abc`
"""
| 14.5 | 49 | 0.672414 |
1d231744a682d25ba943d36e8380290c3d7f5a39 | 2,898 | py | Python | tests/test_train_classifier.py | LesterFreamon/disaster_response_pipeline | 388cdb2fe74da8dc8c4cea14298ef3fd36348dc6 | [
"MIT"
] | null | null | null | tests/test_train_classifier.py | LesterFreamon/disaster_response_pipeline | 388cdb2fe74da8dc8c4cea14298ef3fd36348dc6 | [
"MIT"
] | null | null | null | tests/test_train_classifier.py | LesterFreamon/disaster_response_pipeline | 388cdb2fe74da8dc8c4cea14298ef3fd36348dc6 | [
"MIT"
] | null | null | null | import unittest
import pandas as pd
from ..src.train_classifier import (
_split_to_feature_and_targets,
evaluate_model,
SpecialCharExtractor,
tokenize
)
from .helpers import sort_and_assert_frame_equal
class TestTrainClassifier(unittest.TestCase):
def test_split_to_feature_and_targets(self):
... | 29.876289 | 97 | 0.507246 |
fc36e7b0fb70defe5246149030c1149bd3ef034b | 5,053 | py | Python | tests/functional/test_hands.py | gkuznetsov/veles.znicz | 73147839f80e1eec3a627be8cc2a11211d74a801 | [
"Apache-2.0"
] | 28 | 2015-07-20T12:02:02.000Z | 2020-10-08T02:50:28.000Z | tests/functional/test_hands.py | gkuznetsov/veles.znicz | 73147839f80e1eec3a627be8cc2a11211d74a801 | [
"Apache-2.0"
] | 39 | 2015-08-11T06:56:51.000Z | 2016-05-11T15:02:05.000Z | tests/functional/test_hands.py | gkuznetsov/veles.znicz | 73147839f80e1eec3a627be8cc2a11211d74a801 | [
"Apache-2.0"
] | 27 | 2015-07-20T09:45:34.000Z | 2021-04-15T01:03:54.000Z | #!/usr/bin/env python3
# -*-coding: utf-8 -*-
"""
.. invisible:
_ _ _____ _ _____ _____
| | | | ___| | | ___/ ___|
| | | | |__ | | | |__ \ `--.
| | | | __|| | | __| `--. \
\ \_/ / |___| |___| |___/\__/ /
\___/\____/\_____|____/\____/
Created on April 2, 2014
████████████████... | 40.103175 | 79 | 0.605779 |
ebac8fbe63ea1d58d1903fca95598c17e219bab4 | 2,146 | py | Python | temperature_processing_lt4.py | mknowlton15/genesis | 80b1baa621d7dbfea84a3b128b565dd92918d55f | [
"MIT"
] | null | null | null | temperature_processing_lt4.py | mknowlton15/genesis | 80b1baa621d7dbfea84a3b128b565dd92918d55f | [
"MIT"
] | null | null | null | temperature_processing_lt4.py | mknowlton15/genesis | 80b1baa621d7dbfea84a3b128b565dd92918d55f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#Steven Guinn
#02/24/2016
#University of Maryland Center for Environmental Science
#Appalachian Laboratory http://www.al.umces.edu/
#301 689 7146
#301 Braddock Rd Frostburg MD 215325
import sys,os
# Import arcpy module
import arcpy
def cleanMakeDir(out_dir,mode=0777)... | 27.87013 | 110 | 0.678938 |
fec3b38203c93a020f2f12f565eb5add9c2c0c1f | 296 | py | Python | benchmark/python_fastapi/main.py | SABER-labs/Drogon-torch-serve | eb61472abe32f769daa870278685f0342a00b292 | [
"MIT"
] | 15 | 2022-01-15T03:07:12.000Z | 2022-02-18T15:30:06.000Z | benchmark/python_fastapi/main.py | SABER-labs/Drogon-torch-serve | eb61472abe32f769daa870278685f0342a00b292 | [
"MIT"
] | 1 | 2022-01-27T11:13:49.000Z | 2022-01-28T05:42:24.000Z | benchmark/python_fastapi/main.py | SABER-labs/Drogon-torch-serve | eb61472abe32f769daa870278685f0342a00b292 | [
"MIT"
] | 2 | 2022-01-17T02:55:34.000Z | 2022-01-19T05:46:30.000Z | import utils
from fastapi import FastAPI, File, UploadFile
from fastapi.staticfiles import StaticFiles
app = FastAPI()
@app.get("/")
def home():
return 'OK'
@app.post("/classify")
async def classify(image: UploadFile = File(...)):
return utils.get_result(image_file=image, is_api=True) | 22.769231 | 58 | 0.726351 |
72a26975b80b67478f0d9a29d9a4b42db8d81674 | 2,008 | py | Python | commands/avatar.py | brunohpaiva/fire-bot | de9d67043eef1023d5bd40f3aaa249111fcd253f | [
"MIT"
] | 1 | 2021-09-24T22:48:33.000Z | 2021-09-24T22:48:33.000Z | commands/avatar.py | brunohpaiva/fire-bot | de9d67043eef1023d5bd40f3aaa249111fcd253f | [
"MIT"
] | 1 | 2022-01-13T04:05:04.000Z | 2022-01-13T04:05:04.000Z | commands/avatar.py | brunohpaiva/fire-bot | de9d67043eef1023d5bd40f3aaa249111fcd253f | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2020 GamingGeek
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, dis... | 40.16 | 133 | 0.725598 |
52dd7932165b262aa084081afd98829e13ec6c91 | 1,245 | py | Python | tests/flows/test_mixedsource.py | mfkiwl/siliconcompiler | 49a16d9a07c526821afe1ce2f2d77394e439ca05 | [
"Apache-2.0"
] | 424 | 2021-12-04T15:45:12.000Z | 2022-03-31T20:27:55.000Z | tests/flows/test_mixedsource.py | mfkiwl/siliconcompiler | 49a16d9a07c526821afe1ce2f2d77394e439ca05 | [
"Apache-2.0"
] | 105 | 2021-12-03T21:25:29.000Z | 2022-03-31T22:36:59.000Z | tests/flows/test_mixedsource.py | mfkiwl/siliconcompiler | 49a16d9a07c526821afe1ce2f2d77394e439ca05 | [
"Apache-2.0"
] | 38 | 2021-12-04T21:26:20.000Z | 2022-03-21T02:39:29.000Z | import os
import pytest
import siliconcompiler
##################################
@pytest.mark.skip(reason="Mixed-source functionality is still a work-in-progress.")
@pytest.mark.eda
@pytest.mark.quick
def test_mixedsrc_local_py(scroot):
'''Basic Python API test: build the mixed-source example using only Python co... | 27.666667 | 84 | 0.627309 |
ecbf2633b378cf15838b4a6a069c0cce69d0b356 | 76,207 | py | Python | airflow/models/dag.py | ternarydata/airflow | 1e3cdddcd87be3c0f11b43efea11cdbddaff4470 | [
"Apache-2.0"
] | null | null | null | airflow/models/dag.py | ternarydata/airflow | 1e3cdddcd87be3c0f11b43efea11cdbddaff4470 | [
"Apache-2.0"
] | null | null | null | airflow/models/dag.py | ternarydata/airflow | 1e3cdddcd87be3c0f11b43efea11cdbddaff4470 | [
"Apache-2.0"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 39.180977 | 109 | 0.607438 |
49101d72fc546fa093f4a440de795801c4a41279 | 6,168 | py | Python | school/school_spider.py | xuludev/Work | ac7418cb907df23c9a4613928c07b4d89b63aff6 | [
"MIT"
] | null | null | null | school/school_spider.py | xuludev/Work | ac7418cb907df23c9a4613928c07b4d89b63aff6 | [
"MIT"
] | null | null | null | school/school_spider.py | xuludev/Work | ac7418cb907df23c9a4613928c07b4d89b63aff6 | [
"MIT"
] | null | null | null | """
a web spider for http://xuexiao.pinwaiyi.com/hy/
"""
import logging.handlers
import urllib.parse
import pandas as pd
import pymysql.cursors
import requests
from bs4 import BeautifulSoup
LOG_FILE = 'baikespider.log'
handler = logging.handlers.RotatingFileHandler(LOG_FILE, maxBytes=1024 * 1024, backupCount=5)
fmt ... | 37.609756 | 139 | 0.554475 |
abb08b442f09f7bf4cfb96474e67bf0b245f9f5b | 3,236 | py | Python | main.py | mkrum/das | 76559ffa3055d718590e9c457675cdf9a885f656 | [
"MIT"
] | null | null | null | main.py | mkrum/das | 76559ffa3055d718590e9c457675cdf9a885f656 | [
"MIT"
] | null | null | null | main.py | mkrum/das | 76559ffa3055d718590e9c457675cdf9a885f656 | [
"MIT"
] | null | null | null | import pickle as pkl
from dataclasses import dataclass
import torch
import numpy as np
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
import torch.optim as optim
import torch.nn.functional as F
from data import make_binary_datasets
from mllg import LogWriter, TestInfo, TrainInfo, Validat... | 28.637168 | 85 | 0.615266 |
877ecf1a02d45559b8d28c871dc33786eb727bda | 1,126 | py | Python | src/main/python/tests/test_ts.py | marregui/mygupsql | 2adca0da4bd95932fa08e2b122aa4f6f6713ad0c | [
"Apache-2.0"
] | null | null | null | src/main/python/tests/test_ts.py | marregui/mygupsql | 2adca0da4bd95932fa08e2b122aa4f6f6713ad0c | [
"Apache-2.0"
] | 1 | 2020-12-29T18:03:45.000Z | 2020-12-29T18:03:45.000Z | src/main/python/tests/test_ts.py | marregui/mygupsql | 2adca0da4bd95932fa08e2b122aa4f6f6713ad0c | [
"Apache-2.0"
] | null | null | null | # Licensed to Miguel Arregui ("marregui") under one or more contributor
# license agreements. See the LICENSE file distributed with this work
# for additional information regarding copyright ownership. You may
# obtain a copy at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 32.171429 | 87 | 0.737123 |
c25988b9e6d8bb9069ee293a3fe1a1caa7bf3fe1 | 138 | py | Python | zk/datadog_checks/zk/__about__.py | flowcommerce/integrations-core | c562b0d423ec1a5dd4073b703d6a8d3a9ab23c72 | [
"BSD-3-Clause"
] | 1 | 2021-01-28T01:45:37.000Z | 2021-01-28T01:45:37.000Z | zk/datadog_checks/zk/__about__.py | flowcommerce/integrations-core | c562b0d423ec1a5dd4073b703d6a8d3a9ab23c72 | [
"BSD-3-Clause"
] | 3 | 2021-01-27T04:56:40.000Z | 2021-02-26T06:29:22.000Z | zk/datadog_checks/zk/__about__.py | flowcommerce/integrations-core | c562b0d423ec1a5dd4073b703d6a8d3a9ab23c72 | [
"BSD-3-Clause"
] | 1 | 2021-04-07T16:58:27.000Z | 2021-04-07T16:58:27.000Z | # (C) Datadog, Inc. 2018-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
__version__ = '4.0.0'
| 23 | 59 | 0.717391 |
12f60063c35ca7aa7ad55da1ab46b66839f1fd3b | 335 | py | Python | reboot.py | klaslofstedt/alfred_home_assistent | d7f79786336f53a2867037de3b64d6fe375062a0 | [
"Apache-2.0"
] | 1 | 2016-02-14T23:53:37.000Z | 2016-02-14T23:53:37.000Z | reboot.py | klaslofstedt/alfred_home_assistent_webapp | d7f79786336f53a2867037de3b64d6fe375062a0 | [
"Apache-2.0"
] | null | null | null | reboot.py | klaslofstedt/alfred_home_assistent_webapp | d7f79786336f53a2867037de3b64d6fe375062a0 | [
"Apache-2.0"
] | null | null | null | import datetime
import time
import os
reboot_time = datetime.datetime.now().time().strftime("%H:%M:%S")
while(reboot_time != "06:00:00"):
reboot_time = datetime.datetime.now().time().strftime("%H:%M:%S")
print reboot_time
time.sleep(0.5)
print "rebooting"
os.system("/usr/bin/sudo /sbin/shutdown -r now")
#os.system(... | 25.769231 | 66 | 0.707463 |
01033ad82d44cee3b4e64f780e182ed97103db13 | 7,214 | py | Python | sa_rbac_aggregator.py | nezdali/k8s-api | f75b6ff648fccd8fb4ef8d0aa1b9c09e9c4b22cd | [
"MIT"
] | null | null | null | sa_rbac_aggregator.py | nezdali/k8s-api | f75b6ff648fccd8fb4ef8d0aa1b9c09e9c4b22cd | [
"MIT"
] | null | null | null | sa_rbac_aggregator.py | nezdali/k8s-api | f75b6ff648fccd8fb4ef8d0aa1b9c09e9c4b22cd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Scrape ClusterRole/Binding, ServiceAccount data
and aggregate it per Pod
"""
import logging
from kubernetes import client, config
from kubernetes.client.rest import ApiException
class GetMetadata:
"""Get metadata via k8s api class"""
def __init__(self):
#config.load_inclus... | 44.257669 | 156 | 0.626421 |
4a8d3bf8fbd403fd8ac1e39184a7e0aec0ec0f5a | 7,180 | py | Python | openGaussBase/testcase/SQL/DDL/gin_index/Opengauss_Function_DDL_Gin_Index_Case0037.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/SQL/DDL/gin_index/Opengauss_Function_DDL_Gin_Index_Case0037.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/SQL/DDL/gin_index/Opengauss_Function_DDL_Gin_Index_Case0037.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | """
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... | 47.236842 | 323 | 0.605292 |
308d47621e1139226234acd8c7a722408efbbe86 | 753 | py | Python | new/tidebilling/tidebilling/urls.py | ashraful88/tide-billing | cd11d273889c39bbb4768060fc61e9dfef1972f9 | [
"MIT"
] | 1 | 2020-07-27T17:47:26.000Z | 2020-07-27T17:47:26.000Z | new/tidebilling/tidebilling/urls.py | ashraful88/tide-billing | cd11d273889c39bbb4768060fc61e9dfef1972f9 | [
"MIT"
] | 4 | 2021-06-04T22:32:50.000Z | 2022-03-12T00:17:15.000Z | new/tidebilling/tidebilling/urls.py | ashraful88/tide-billing | cd11d273889c39bbb4768060fc61e9dfef1972f9 | [
"MIT"
] | 1 | 2020-03-16T22:10:06.000Z | 2020-03-16T22:10:06.000Z | """tidebilling URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-b... | 34.227273 | 77 | 0.710491 |
85e2bd96f56b68de80e799edc3797a14c41282a3 | 2,172 | py | Python | tuprolog/solve/flags/__init__.py | DavideEva/2ppy | 55609415102f8116165a42c8e33e029c4906e160 | [
"Apache-2.0"
] | 1 | 2021-08-07T06:29:28.000Z | 2021-08-07T06:29:28.000Z | tuprolog/solve/flags/__init__.py | DavideEva/2ppy | 55609415102f8116165a42c8e33e029c4906e160 | [
"Apache-2.0"
] | 14 | 2021-09-16T13:25:12.000Z | 2022-01-03T10:12:22.000Z | tuprolog/solve/flags/__init__.py | DavideEva/2ppy | 55609415102f8116165a42c8e33e029c4906e160 | [
"Apache-2.0"
] | 1 | 2021-12-22T00:25:32.000Z | 2021-12-22T00:25:32.000Z | from tuprolog import logger
# noinspection PyUnresolvedReferences
import jpype.imports
# noinspection PyUnresolvedReferences
import it.unibo.tuprolog.solve.flags as _flags
from tuprolog.core import Term
from tuprolog.jvmutils import kpair, jmap, jarray, Pair
from typing import Iterable, Union, Mapping
DoubleQuotes = ... | 28.207792 | 100 | 0.708103 |
de19f3beaa3567f4fcd26eeb01ae84659a72c7a4 | 10,676 | py | Python | NEST-14.0-FPGA/examples/neuronview/neuronview.py | OpenHEC/SNN-simulator-on-PYNQcluster | 14f86a76edf4e8763b58f84960876e95d4efc43a | [
"MIT"
] | 45 | 2019-12-09T06:45:53.000Z | 2022-01-29T12:16:41.000Z | NEST-14.0-FPGA/examples/neuronview/neuronview.py | zlchai/SNN-simulator-on-PYNQcluster | 14f86a76edf4e8763b58f84960876e95d4efc43a | [
"MIT"
] | 2 | 2020-05-23T05:34:21.000Z | 2021-09-08T02:33:46.000Z | NEST-14.0-FPGA/examples/neuronview/neuronview.py | OpenHEC/SNN-simulator-on-PYNQcluster | 14f86a76edf4e8763b58f84960876e95d4efc43a | [
"MIT"
] | 10 | 2019-12-09T06:45:59.000Z | 2021-03-25T09:32:56.000Z | # -*- coding: utf-8 -*-
#
# neuronview.py
#
# This file is part of NEST.
#
# Copyright (C) 2004 The NEST Initiative
#
# NEST 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 2 of the License, or
... | 32.351515 | 77 | 0.610809 |
adff8ec59fd16afc2173c12cf3cb24e315854461 | 52,965 | py | Python | cogs/utility.py | drumman22/modmail | a7126674aaa23d01846849b7407a98daa64dc85a | [
"MIT"
] | 1 | 2019-05-22T23:23:19.000Z | 2019-05-22T23:23:19.000Z | cogs/utility.py | AliUltimate/modmail | dcd5a583b142dc629b414f287611c04c81beca2f | [
"MIT"
] | null | null | null | cogs/utility.py | AliUltimate/modmail | dcd5a583b142dc629b414f287611c04c81beca2f | [
"MIT"
] | null | null | null | import inspect
import logging
import os
import traceback
from contextlib import redirect_stdout
from datetime import datetime
from difflib import get_close_matches
from io import StringIO
from typing import Union
from types import SimpleNamespace as param
from json import JSONDecodeError
from textwrap import indent
fr... | 37.886266 | 109 | 0.554479 |
b32084de90e11d15b938eceb3d9bc7d32a916e60 | 4,331 | py | Python | src/robot/utils/ordereddict.py | userzimmermann/robotframework | 7aa16338ce2120cb082605cf548c0794956ec901 | [
"Apache-2.0"
] | 7 | 2015-02-25T10:55:02.000Z | 2015-11-04T03:20:05.000Z | src/robot/utils/ordereddict.py | userzimmermann/robotframework | 7aa16338ce2120cb082605cf548c0794956ec901 | [
"Apache-2.0"
] | 12 | 2015-02-24T17:00:06.000Z | 2015-07-31T08:32:07.000Z | src/robot/utils/ordereddict.py | userzimmermann/robotframework | 7aa16338ce2120cb082605cf548c0794956ec901 | [
"Apache-2.0"
] | 2 | 2015-12-15T11:00:35.000Z | 2018-02-24T18:11:24.000Z | # Copyright (c) 2009 Raymond Hettinger
#
# 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,... | 31.384058 | 79 | 0.596398 |
cef1baa7fc3017b609649a7233b32714d3eff769 | 2,246 | py | Python | src/envee/virtual_environments.py | Peilonrayz/envee | 66f5b6b1ff7f5966be794e1e3878418c560c1f65 | [
"MIT"
] | null | null | null | src/envee/virtual_environments.py | Peilonrayz/envee | 66f5b6b1ff7f5966be794e1e3878418c560c1f65 | [
"MIT"
] | null | null | null | src/envee/virtual_environments.py | Peilonrayz/envee | 66f5b6b1ff7f5966be794e1e3878418c560c1f65 | [
"MIT"
] | null | null | null | import collections
import functools
import io
import logging
import os.path
import pathlib
import shutil
import subprocess
import sys
import tempfile
import textwrap
from typing import Dict, Optional, Type, Union
import teetime
from . import core, package_managers
__all__ = [
"VirtualEnvironment",
"VirtualEn... | 24.413043 | 84 | 0.596171 |
3fb79c42b5ad107658366517b7a85c0640545cf2 | 12,126 | py | Python | attention_decoder.py | AngledLuffa/pointer-generator | 7929237250aecffbee8a02c82c0cb9b0b9508f63 | [
"Apache-2.0"
] | null | null | null | attention_decoder.py | AngledLuffa/pointer-generator | 7929237250aecffbee8a02c82c0cb9b0b9508f63 | [
"Apache-2.0"
] | null | null | null | attention_decoder.py | AngledLuffa/pointer-generator | 7929237250aecffbee8a02c82c0cb9b0b9508f63 | [
"Apache-2.0"
] | 1 | 2021-04-26T18:18:48.000Z | 2021-04-26T18:18:48.000Z | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
# Modifications Copyright 2017 Abigail See
#
# 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... | 52.951965 | 586 | 0.708065 |
e054daade03b94300ff2ac909db8dae36ef2162e | 1,912 | py | Python | pygpu/basic.py | heha180/array | 9fa8fe6e344acf98e53fcece337e2008e15d6279 | [
"0BSD"
] | null | null | null | pygpu/basic.py | heha180/array | 9fa8fe6e344acf98e53fcece337e2008e15d6279 | [
"0BSD"
] | null | null | null | pygpu/basic.py | heha180/array | 9fa8fe6e344acf98e53fcece337e2008e15d6279 | [
"0BSD"
] | 1 | 2021-05-14T00:32:33.000Z | 2021-05-14T00:32:33.000Z | from string import Template
from .gpuarray import GpuArray, GpuKernel, SIZE
def _generate_kernel(ctx, cols, upper=True):
tmpl = Template("""
#include "cluda.h"
KERNEL void extract_tri(GLOBAL_MEM ga_float *a, ga_size a_off, ga_uint N) {
a = (GLOBAL_MEM ga_float *)(((GLOBAL_MEM char *)a) + a_off);
... | 28.969697 | 79 | 0.566946 |
a1a2bf9b9c6fd0e77c83da38bba977263b9a0ae7 | 8,553 | py | Python | frappe/tests/test_twofactor.py | bahaou/frappe | 53d4ddca43b114414f1b81c58944064559a3e823 | [
"MIT"
] | null | null | null | frappe/tests/test_twofactor.py | bahaou/frappe | 53d4ddca43b114414f1b81c58944064559a3e823 | [
"MIT"
] | 1 | 2021-10-01T13:08:45.000Z | 2021-10-01T13:08:45.000Z | frappe/tests/test_twofactor.py | bahaou/frappe | 53d4ddca43b114414f1b81c58944064559a3e823 | [
"MIT"
] | null | null | null | # Copyright (c) 2017, Frappe Technologies Pvt. Ltd. and Contributors
# License: MIT. See LICENSE
import unittest, frappe, pyotp
from frappe.auth import HTTPRequest
from frappe.utils import cint
from frappe.utils import set_request
from frappe.auth import validate_ip_address, get_login_attempt_tracker
from frappe.twofac... | 36.241525 | 112 | 0.778557 |
5b04fe92b12f5a747062a312ea36540ed0d99b8c | 57,383 | py | Python | test/test_remote.py | ccacciari/bdbag | f9e9eb257c43c9cc1c6ad83519070d7bdd8bab1e | [
"Apache-2.0"
] | 39 | 2018-04-13T16:36:39.000Z | 2022-02-11T08:59:35.000Z | test/test_remote.py | ccacciari/bdbag | f9e9eb257c43c9cc1c6ad83519070d7bdd8bab1e | [
"Apache-2.0"
] | 30 | 2018-03-30T23:05:41.000Z | 2022-02-24T13:38:52.000Z | test/test_remote.py | ccacciari/bdbag | f9e9eb257c43c9cc1c6ad83519070d7bdd8bab1e | [
"Apache-2.0"
] | 18 | 2018-05-14T12:50:41.000Z | 2021-11-25T15:50:19.000Z | # encoding: utf-8
#
# Copyright 2016 University of Southern California
#
# 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 b... | 48.919864 | 148 | 0.590837 |
f2de3139114025b512d7610ed49160f1924fa4df | 2,774 | py | Python | roulette/builder/utils.py | miararoy/bliz | 0d197b6790ccfa0c71682abf551aa4df83a9b589 | [
"MIT"
] | null | null | null | roulette/builder/utils.py | miararoy/bliz | 0d197b6790ccfa0c71682abf551aa4df83a9b589 | [
"MIT"
] | null | null | null | roulette/builder/utils.py | miararoy/bliz | 0d197b6790ccfa0c71682abf551aa4df83a9b589 | [
"MIT"
] | null | null | null | import numpy as np
from collections import namedtuple
from sklearn.metrics import classification_report, confusion_matrix
Doc = namedtuple(
'Doc',
[
"version",
"type",
"algo",
"param",
"cv",
]
)
def compress_regression_results(l, true_condition=lambda x: x >= 0.6... | 25.925234 | 88 | 0.540014 |
b23eb4175ade8c5b44dd2bd2a1ace6d541e6540f | 1,494 | py | Python | ai_toolkit/models/cnn.py | TylerYep/ml-toolkit | 095bdce961133acc720f90b6d1bbb0a7becbfc9f | [
"MIT"
] | 7 | 2020-04-07T06:10:29.000Z | 2021-10-30T06:31:46.000Z | ai_toolkit/models/cnn.py | TylerYep/ml-toolkit | 095bdce961133acc720f90b6d1bbb0a7becbfc9f | [
"MIT"
] | 2 | 2021-09-08T01:48:49.000Z | 2022-01-16T19:31:35.000Z | ai_toolkit/models/cnn.py | TylerYep/ml-toolkit | 095bdce961133acc720f90b6d1bbb0a7becbfc9f | [
"MIT"
] | 2 | 2021-04-27T22:45:14.000Z | 2021-07-16T06:40:30.000Z | import torch
from torch import nn
from torch.nn import functional as F
class BasicCNN(nn.Module):
"""Neural network"""
def __init__(self, input_shape):
super().__init__()
self.input_shape = input_shape
self.conv1 = nn.Conv2d(1, 32, 3, 1)
self.conv2 = nn.Conv2d(32, 64, 3, 1)
... | 26.678571 | 64 | 0.522758 |
66b35518304691850f9b54f6bdc530c6aaddb351 | 2,413 | py | Python | tests/precalculations/test_count_vectorizer.py | hpi-bp1819-naumann/shift-detector | 5d081d05ec084021f11827aa3fd3e167854b2a2a | [
"Apache-2.0"
] | 3 | 2019-06-21T11:41:08.000Z | 2019-10-24T06:41:51.000Z | tests/precalculations/test_count_vectorizer.py | hpi-bp1819-naumann/shift-detector | 5d081d05ec084021f11827aa3fd3e167854b2a2a | [
"Apache-2.0"
] | 63 | 2019-05-16T12:09:57.000Z | 2022-02-10T00:21:01.000Z | tests/precalculations/test_count_vectorizer.py | hpi-bp1819-naumann/shift-detector | 5d081d05ec084021f11827aa3fd3e167854b2a2a | [
"Apache-2.0"
] | null | null | null | import unittest
from shift_detector.precalculations.count_vectorizer import CountVectorizer
from shift_detector.precalculations.store import Store
import pandas as pd
import numpy as np
class TestCountVectorizer(unittest.TestCase):
def setUp(self):
self.count1 = CountVectorizer(columns=['col1'], stop_wor... | 47.313725 | 108 | 0.640282 |
7fd0d86de9e981bfc074cb2f99263eaa21d92b2a | 4,911 | py | Python | App/CSJam2015/Content/PrebuiltResources/Scripts/texture_atlas_builder.py | KamiGrave/CSJam2015 | e96db2f0797e4e9f33f949b4c36955243c6bbc23 | [
"MIT"
] | null | null | null | App/CSJam2015/Content/PrebuiltResources/Scripts/texture_atlas_builder.py | KamiGrave/CSJam2015 | e96db2f0797e4e9f33f949b4c36955243c6bbc23 | [
"MIT"
] | null | null | null | App/CSJam2015/Content/PrebuiltResources/Scripts/texture_atlas_builder.py | KamiGrave/CSJam2015 | e96db2f0797e4e9f33f949b4c36955243c6bbc23 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#
# texture_atlas_builder.py
# CSJam2015
# Created by Scott Downie on 30/06/2014.
#
# The MIT License (MIT)
#
# Copyright (c) 2014 Tag Games Limited
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Softw... | 29.945122 | 211 | 0.635919 |
92cdb9e7de0436a6771577c5dc7cf2e0a0c64bbf | 1,210 | py | Python | main.py | crrapi/Rin | 41f3ae7421acd03ad214b2f3689d8043a01ae1df | [
"MIT"
] | null | null | null | main.py | crrapi/Rin | 41f3ae7421acd03ad214b2f3689d8043a01ae1df | [
"MIT"
] | null | null | null | main.py | crrapi/Rin | 41f3ae7421acd03ad214b2f3689d8043a01ae1df | [
"MIT"
] | null | null | null | import json
import discord
from discord.ext import commands
# Put your token in a file called config.json, if you want to self-host
with open('config.json') as file:
config = json.load(file)
async def get_prefix(_bot, message):
prefixes = ['rin ']
return commands.when_mentioned_or(*prefixes)(_bot, messa... | 27.5 | 99 | 0.65124 |
c950a78eed5b346d273b2e398fa8b3345fe51152 | 4,414 | py | Python | slimelearnpy/slimelearn.py | javierburgosv/slimelearn.py | 2a5f8bd43e52e199f052d51a79c4f097c6f6b547 | [
"MIT"
] | 1 | 2021-06-22T11:40:17.000Z | 2021-06-22T11:40:17.000Z | slimelearnpy/slimelearn.py | javierburgosv/slimelearn.py | 2a5f8bd43e52e199f052d51a79c4f097c6f6b547 | [
"MIT"
] | null | null | null | slimelearnpy/slimelearn.py | javierburgosv/slimelearn.py | 2a5f8bd43e52e199f052d51a79c4f097c6f6b547 | [
"MIT"
] | null | null | null | from asyncio.events import get_event_loop
from asyncio.tasks import all_tasks
from typing import final
import websockets
import asyncio
import json
import nest_asyncio
nest_asyncio.apply()
class SlimeLearn:
ws = None
req_template = {
"req": "",
"payload": {}
}
def __init__(self):
... | 30.027211 | 91 | 0.478478 |
2056de4c8fc4c155ab7bc0258f2005699183a8cb | 1,742 | py | Python | backend/match_games/models.py | flaviogf/match_games | 7d2c2f35749715f36855031911ba67690cea8cb1 | [
"MIT"
] | null | null | null | backend/match_games/models.py | flaviogf/match_games | 7d2c2f35749715f36855031911ba67690cea8cb1 | [
"MIT"
] | null | null | null | backend/match_games/models.py | flaviogf/match_games | 7d2c2f35749715f36855031911ba67690cea8cb1 | [
"MIT"
] | null | null | null | from match_games import db
from sqlalchemy.orm import relationship
class User(db.Model):
id = db.Column(db.Integer,
primary_key=True)
name = db.Column(db.String(250),
nullable=False)
email = db.Column(db.String(250),
nullable=False)
passwor... | 32.259259 | 61 | 0.537887 |
1d5ba429fc4f0cc992f0bea6256d036468c81764 | 2,888 | py | Python | core/management/commands/createOrder.py | yun-mh/uniwalk | f5307f6970b24736d13b56b4792c580398c35b3a | [
"Apache-2.0"
] | null | null | null | core/management/commands/createOrder.py | yun-mh/uniwalk | f5307f6970b24736d13b56b4792c580398c35b3a | [
"Apache-2.0"
] | 9 | 2020-01-10T14:10:02.000Z | 2022-03-12T00:08:19.000Z | core/management/commands/createOrder.py | yun-mh/uniwalk | f5307f6970b24736d13b56b4792c580398c35b3a | [
"Apache-2.0"
] | null | null | null | import random, time, datetime, math
from django.core.management.base import BaseCommand
from django_seed import Seed
from reviews.models import Review
from products.models import Product
from orders.models import Order, Step
from users.models import User
# テストデータ用コマンドの作成
def str_time_prop(start, end, format, prop):
... | 25.557522 | 86 | 0.437673 |
8080782e2fe627930333f1566a9f55a55d2727dd | 1,845 | py | Python | setup.py | cordalace/nsjwt | 424b85f9ec003e965db4da2089efc47602566c16 | [
"Apache-2.0"
] | 11 | 2018-02-01T11:29:45.000Z | 2020-05-28T17:39:41.000Z | setup.py | cordalace/nsjwt | 424b85f9ec003e965db4da2089efc47602566c16 | [
"Apache-2.0"
] | null | null | null | setup.py | cordalace/nsjwt | 424b85f9ec003e965db4da2089efc47602566c16 | [
"Apache-2.0"
] | 1 | 2018-05-10T09:25:49.000Z | 2018-05-10T09:25:49.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 34.166667 | 71 | 0.681301 |
215b1bcbb0694d0c75e1e2a7f6eeb82529e4df94 | 16,168 | py | Python | sensors/kalman/auv-kalmand.py | cuauv/software | 5ad4d52d603f81a7f254f365d9b0fe636d03a260 | [
"BSD-3-Clause"
] | 70 | 2015-11-16T18:04:01.000Z | 2022-03-05T09:04:02.000Z | sensors/kalman/auv-kalmand.py | cuauv/software | 5ad4d52d603f81a7f254f365d9b0fe636d03a260 | [
"BSD-3-Clause"
] | 1 | 2016-08-03T05:13:19.000Z | 2016-08-03T06:19:39.000Z | sensors/kalman/auv-kalmand.py | cuauv/software | 5ad4d52d603f81a7f254f365d9b0fe636d03a260 | [
"BSD-3-Clause"
] | 34 | 2015-12-15T17:29:23.000Z | 2021-11-18T14:15:12.000Z | #!/usr/bin/env python3
'''
The daemon that runs Kalman filters for orientation and position.
'''
import math
import time
from functools import reduce
import numpy as np
import shm
from auv_math.quat import Quaternion
from auv_python_helpers.angles import abs_heading_sub_degrees
from conf.vehicle import sensors, dvl_... | 38.679426 | 154 | 0.58925 |
e0385727acf47b905910e086e86fee8b1c04a482 | 23,153 | py | Python | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/common/djangoapps/third_party_auth/saml.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 3 | 2021-12-15T04:58:18.000Z | 2022-02-06T12:15:37.000Z | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/common/djangoapps/third_party_auth/saml.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | null | null | null | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/common/djangoapps/third_party_auth/saml.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 1 | 2019-01-02T14:38:50.000Z | 2019-01-02T14:38:50.000Z | """
Slightly customized python-social-auth backend for SAML 2.0 support
"""
import logging
from copy import deepcopy
import requests
from django.contrib.sites.models import Site
from django.http import Http404
from django.utils.functional import cached_property
from django_countries import countries
from onelogin.sa... | 41.492832 | 120 | 0.638319 |
2a29a06cb682f4030b8aa3e1fde4f7ee3bc42be4 | 1,465 | py | Python | Serial.py | flasonil/Deep-Neural-Network-for-CS-based-signal-reconstruction-on-STM32-MCU-board | 57cc1e57e4497bea93a12b71c18db8f472ae4295 | [
"MIT"
] | 11 | 2020-07-06T13:23:35.000Z | 2021-09-04T17:41:00.000Z | Serial.py | flasonil/Deep-Neural-Network-for-CS-based-signal-reconstruction-on-STM32-MCU-board | 57cc1e57e4497bea93a12b71c18db8f472ae4295 | [
"MIT"
] | null | null | null | Serial.py | flasonil/Deep-Neural-Network-for-CS-based-signal-reconstruction-on-STM32-MCU-board | 57cc1e57e4497bea93a12b71c18db8f472ae4295 | [
"MIT"
] | 1 | 2021-04-04T23:05:29.000Z | 2021-04-04T23:05:29.000Z | from scipy import signal
from scipy import io
from scipy import random
import os
import serial
import sys
import numpy as np
import time
import struct
from dnnCS_functions import *
# The data, split between train and test sets:
# Load y_test float32 type
data = io.loadmat('float_y.mat')
y_test = data['ans'][:32,:].T
#... | 31.170213 | 129 | 0.659386 |
e7b6ca5c579e2636abe80ec265cea7682ae93534 | 1,049 | py | Python | packages/pyright-internal/src/tests/samples/classVar1.py | lipovsek/pytea | c536515a5e5947fac8871784323ba7eddc58956d | [
"MIT"
] | null | null | null | packages/pyright-internal/src/tests/samples/classVar1.py | lipovsek/pytea | c536515a5e5947fac8871784323ba7eddc58956d | [
"MIT"
] | null | null | null | packages/pyright-internal/src/tests/samples/classVar1.py | lipovsek/pytea | c536515a5e5947fac8871784323ba7eddc58956d | [
"MIT"
] | null | null | null | # This sample tests the type checker's handling of ClassVar
# as described in PEP 526.
from typing import Any, ClassVar, Dict
class MyDescriptor:
def __get__(self, *args: Any) -> str:
return ""
def __set__(self, obj: Any, value: str):
pass
class Starship:
captain: str = ... | 24.97619 | 67 | 0.63775 |
11a960c94e7eecc7c10896bae1eaab08ab8d5447 | 5,548 | py | Python | app.py | david-fried/sqlalchemy-challenge | 3886f1f701f38344fe740d8d9e2a07178754a901 | [
"ADSL"
] | 1 | 2020-09-23T22:40:42.000Z | 2020-09-23T22:40:42.000Z | app.py | david-fried/SQL_Alchemy | 3886f1f701f38344fe740d8d9e2a07178754a901 | [
"ADSL"
] | null | null | null | app.py | david-fried/SQL_Alchemy | 3886f1f701f38344fe740d8d9e2a07178754a901 | [
"ADSL"
] | null | null | null | from matplotlib import style
style.use('fivethirtyeight')
import matplotlib.pyplot as plt
from flask import Flask, jsonify, request
import numpy as np
import pandas as pd
import datetime as dt
import sqlalchemy
import pandas as pd
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Sess... | 32.635294 | 172 | 0.616078 |
11cc0cafc28fbfb9ddc05957964d4cb83f059ad6 | 1,538 | py | Python | setup.py | csdms/standard_names | 385e8700125c9823720ca16f112ef5e1c3903b1f | [
"MIT"
] | 1 | 2017-12-19T04:01:36.000Z | 2017-12-19T04:01:36.000Z | setup.py | csdms/standard_names | 385e8700125c9823720ca16f112ef5e1c3903b1f | [
"MIT"
] | 1 | 2019-04-09T16:02:47.000Z | 2019-04-09T16:02:47.000Z | setup.py | csdms/standard_names | 385e8700125c9823720ca16f112ef5e1c3903b1f | [
"MIT"
] | 2 | 2015-04-15T23:23:46.000Z | 2017-08-28T20:35:35.000Z | #!/usr/bin/env python
from setuptools import setup
import versioneer
setup(
name="standard_names",
version=versioneer.get_version(),
description="CSDMS standard names",
author="Eric Hutton",
author_email="eric.hutton@colorado.edu",
url="https://csdms.colorado.edu",
classifiers=[
... | 28.481481 | 70 | 0.592328 |
660ec3e96506fb2783a47308fb24478f564ced8d | 3,948 | py | Python | selfdrive/controls/lib/lane_planner.py | vincentw56/openpilot | 7eca4d62078b14de62c5f2ce08e382eb31cc7076 | [
"MIT"
] | null | null | null | selfdrive/controls/lib/lane_planner.py | vincentw56/openpilot | 7eca4d62078b14de62c5f2ce08e382eb31cc7076 | [
"MIT"
] | null | null | null | selfdrive/controls/lib/lane_planner.py | vincentw56/openpilot | 7eca4d62078b14de62c5f2ce08e382eb31cc7076 | [
"MIT"
] | null | null | null | import numpy as np
from cereal import log
from common.filter_simple import FirstOrderFilter
from common.numpy_fast import interp
from common.realtime import DT_MDL
from selfdrive.hardware import EON, TICI
from selfdrive.swaglog import cloudlog
TRAJECTORY_SIZE = 33
# camera offset is meters from center car to camera
i... | 37.245283 | 109 | 0.692756 |
d878d3dcc19441f3b92683d1156ec712354d222a | 2,232 | py | Python | being/logging.py | andsteing/being | 0d0dca71edc512df47fe5ff3bea692e728f90924 | [
"MIT"
] | 2 | 2021-11-11T12:16:43.000Z | 2022-01-13T06:06:20.000Z | being/logging.py | andsteing/being | 0d0dca71edc512df47fe5ff3bea692e728f90924 | [
"MIT"
] | 5 | 2022-01-13T08:01:54.000Z | 2022-02-22T12:28:02.000Z | being/logging.py | andsteing/being | 0d0dca71edc512df47fe5ff3bea692e728f90924 | [
"MIT"
] | 3 | 2022-01-11T18:16:35.000Z | 2022-01-13T13:14:26.000Z | """Being logging.
Resources:
- https://stackoverflow.com/questions/7016056/python-logging-not-outputting-anything
"""
import logging
import logging.handlers
import os
from typing import Optional
from logging import Logger
from being.configuration import CONFIG
from being.constants import MB
LEVEL = CONFIG['Loggin... | 27.9 | 94 | 0.667115 |
bb74e00c63f7f77d8cef2ac22b8fecc46549e816 | 18,812 | py | Python | ppcls/arch/backbone/model_zoo/levit.py | qili93/PaddleClas | 21a89ee365613890b601001343a6bef2cbd99c2c | [
"Apache-2.0"
] | 2 | 2021-06-22T06:28:20.000Z | 2021-06-22T06:28:23.000Z | ppcls/arch/backbone/model_zoo/levit.py | sunjianfengHub/PaddleClas | dad9fa8b54da97691d2c7f2b6e0c2b4f077177b7 | [
"Apache-2.0"
] | null | null | null | ppcls/arch/backbone/model_zoo/levit.py | sunjianfengHub/PaddleClas | dad9fa8b54da97691d2c7f2b6e0c2b4f077177b7 | [
"Apache-2.0"
] | 1 | 2021-06-25T17:50:30.000Z | 2021-06-25T17:50:30.000Z | # copyright (c) 2021 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 applica... | 34.328467 | 119 | 0.536253 |
1e45fd48aa214d10ea9511ba99af204eaedc136a | 3,704 | py | Python | log_queries.py | calpoly-csai/swanson | 8f5aed72ebabf06daaf37ba6a6feefec06654802 | [
"MIT"
] | 3 | 2020-07-26T21:08:58.000Z | 2021-04-26T04:07:25.000Z | log_queries.py | calpoly-csai/swanson | 8f5aed72ebabf06daaf37ba6a6feefec06654802 | [
"MIT"
] | 34 | 2020-07-26T20:32:13.000Z | 2021-02-02T01:07:13.000Z | log_queries.py | calpoly-csai/swanson | 8f5aed72ebabf06daaf37ba6a6feefec06654802 | [
"MIT"
] | 2 | 2020-08-25T23:10:15.000Z | 2021-11-08T21:24:34.000Z | import datetime
import pickle
from flask import Flask, request
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from os import path, environ
# If modifying these scopes, delete the file token.pickle.
SCOPES = ['http... | 32.778761 | 120 | 0.674946 |
cafa01eebf61dad95766432bc5b7bbda89b102b2 | 16,983 | py | Python | Savethemblobs/PythonistaKit.framework/pylib/HTMLParser.py | iApeiron/Savethemblobs_app | 38184facf78b55ba89a727be7b1fc08d6085f20c | [
"MIT"
] | 19 | 2017-05-17T16:48:02.000Z | 2020-08-18T18:21:45.000Z | Savethemblobs/PythonistaKit.framework/pylib/HTMLParser.py | iApeiron/Savethemblobs_app | 38184facf78b55ba89a727be7b1fc08d6085f20c | [
"MIT"
] | 2 | 2017-05-17T06:41:47.000Z | 2017-05-17T17:27:13.000Z | Savethemblobs/PythonistaKit.framework/pylib/HTMLParser.py | iApeiron/Savethemblobs_app | 38184facf78b55ba89a727be7b1fc08d6085f20c | [
"MIT"
] | 4 | 2017-05-17T03:56:25.000Z | 2018-11-09T00:00:20.000Z |
"""A parser for HTML and XHTML."""
# This file is based on sgmllib.py, but the API is slightly different.
# XXX There should be a way to distinguish between PCDATA (parsed
# character data -- the normal case), RCDATA (replaceable character
# data -- only char and entity references and end tags are special)
# and CDA... | 35.829114 | 87 | 0.508626 |
07deb9b9939240c6fc5e284d4562317b41b5a3b7 | 1,669 | py | Python | examples/keras_example.py | vittot/pyCeterisParibus | efe5835574026fe6b1a6993cc08cc34e67b8e018 | [
"Apache-2.0"
] | 22 | 2019-04-06T17:33:12.000Z | 2021-12-13T21:46:47.000Z | examples/keras_example.py | vittot/pyCeterisParibus | efe5835574026fe6b1a6993cc08cc34e67b8e018 | [
"Apache-2.0"
] | 15 | 2018-11-27T17:50:16.000Z | 2019-04-23T17:07:43.000Z | examples/keras_example.py | vittot/pyCeterisParibus | efe5835574026fe6b1a6993cc08cc34e67b8e018 | [
"Apache-2.0"
] | 8 | 2018-12-12T12:24:21.000Z | 2022-02-06T21:09:55.000Z | from keras.layers import Dense, Activation
from keras.models import Sequential
from keras.wrappers.scikit_learn import KerasRegressor
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from... | 35.510638 | 104 | 0.724985 |
f7affd78d47b0ca00a5ca32636b890ef6eea5516 | 1,941 | py | Python | config/wsgi.py | stephenaiesi/customcreations.site | 6c47f033c740b180d7598ef2bfdbbe8a0f71447c | [
"MIT"
] | null | null | null | config/wsgi.py | stephenaiesi/customcreations.site | 6c47f033c740b180d7598ef2bfdbbe8a0f71447c | [
"MIT"
] | null | null | null | config/wsgi.py | stephenaiesi/customcreations.site | 6c47f033c740b180d7598ef2bfdbbe8a0f71447c | [
"MIT"
] | null | null | null | """
WSGI config for Custom Creations project.
This module contains the WSGI application used by Django's development server
and any production WSGI deployments. It should expose a module-level variable
named ``application``. Django's ``runserver`` and ``runfcgi`` commands discover
this application via the ``WSGI_APPLI... | 44.113636 | 79 | 0.796497 |
1b6dec3580eab314335f2dc2e82c74a5031177d9 | 1,309 | py | Python | Lab 3/word_count_system_architecture_client.py | lucca30/distributed-systems | e463a894f679b8ac6db6cddfc0e0302d2f08927f | [
"MIT"
] | null | null | null | Lab 3/word_count_system_architecture_client.py | lucca30/distributed-systems | e463a894f679b8ac6db6cddfc0e0302d2f08927f | [
"MIT"
] | null | null | null | Lab 3/word_count_system_architecture_client.py | lucca30/distributed-systems | e463a894f679b8ac6db6cddfc0e0302d2f08927f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from socket import *
import time
import json
host = 'localhost'
port = 7001
retry_time_secs = 10
wait_time_msecs = 1000
msg = ''
sckt = socket()
def acquire_connection():
connected = False
# Retry until is not connected
while not connected:
try:
print ("Tryin... | 25.666667 | 91 | 0.588235 |
64e6fa8a3bac37ed29fd74a76fc6c7a78b766e6d | 1,760 | py | Python | assistant/core/management/commands/consume.py | kapiak/ware_prod | ae61256890834c434d2e38cc2ccacf00b638665a | [
"MIT"
] | null | null | null | assistant/core/management/commands/consume.py | kapiak/ware_prod | ae61256890834c434d2e38cc2ccacf00b638665a | [
"MIT"
] | null | null | null | assistant/core/management/commands/consume.py | kapiak/ware_prod | ae61256890834c434d2e38cc2ccacf00b638665a | [
"MIT"
] | null | null | null | from django.utils.translation import gettext_lazy as _
from django.core.management.base import BaseCommand
from assistant.core.pub_sub import Consumer
class Command(BaseCommand):
"""A management command to run a worker to consume events from rabbitmq."""
help = _("Consumer Worker from RabbitMQ")
callba... | 35.918367 | 116 | 0.615341 |
85f0db23b028addcd806bcdcd286d89eccf8bbe8 | 4,685 | py | Python | bot/cogs/owner.py | jnpoJuwan/Just-a-bot | 31fc52d61312bcca75515b988de68676573ea401 | [
"MIT"
] | null | null | null | bot/cogs/owner.py | jnpoJuwan/Just-a-bot | 31fc52d61312bcca75515b988de68676573ea401 | [
"MIT"
] | null | null | null | bot/cogs/owner.py | jnpoJuwan/Just-a-bot | 31fc52d61312bcca75515b988de68676573ea401 | [
"MIT"
] | null | null | null | import io
import textwrap
import traceback
from contextlib import redirect_stdout
from pathlib import Path
from discord.ext import commands
from ..utils import checks
class Owner(commands.Cog, command_attrs=dict(hidden=True)):
def __init__(self, bot):
self.bot = bot
@commands.command(name='quit', a... | 34.19708 | 111 | 0.573533 |
448c5968b1c12540fa3ddba1e372f1a591079285 | 849 | py | Python | scipy_central/feeds/urls.py | wangvictor2012/liuwei | 0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1 | [
"BSD-3-Clause"
] | null | null | null | scipy_central/feeds/urls.py | wangvictor2012/liuwei | 0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1 | [
"BSD-3-Clause"
] | null | null | null | scipy_central/feeds/urls.py | wangvictor2012/liuwei | 0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1 | [
"BSD-3-Clause"
] | null | null | null | from django.conf.urls import patterns, url
from django.contrib.comments.feeds import LatestCommentFeed
import feeds
urlpatterns = patterns('scipy_central.feeds.views',
# latest comments
url(r'^comments/$', LatestCommentFeed(), name="spc-rss-latest-comments"),
# all revision comments
url(r'^comments/(?P<item_id>\d+... | 44.684211 | 107 | 0.691402 |
975fff16ecb812ee2d92144b2486c964a9da73e4 | 326 | py | Python | day02/python/murku/tests/test_solution.py | murku/aoc-2020 | bc74b78905524e185b10b2afabcd89ee9f3c2fa7 | [
"MIT"
] | null | null | null | day02/python/murku/tests/test_solution.py | murku/aoc-2020 | bc74b78905524e185b10b2afabcd89ee9f3c2fa7 | [
"MIT"
] | null | null | null | day02/python/murku/tests/test_solution.py | murku/aoc-2020 | bc74b78905524e185b10b2afabcd89ee9f3c2fa7 | [
"MIT"
] | null | null | null | import pytest
# from solution import multiply_list
multiply_list_testdata = [
([1], 1),
([2, 3], 3),
([2, 5, 6], 60)
]
@pytest.mark.parametrize("numbers,expected", multiply_list_testdata)
def test_multiply_list(numbers, expected):
actual = multiply_list(numbers)
assert actual == expected, "test fa... | 23.285714 | 68 | 0.690184 |
f5cf542b13af485c545f526728a79993112b594f | 8,230 | py | Python | server/planarserver.py | Kruptein/PlanarAlly | 6c7dd9d02474a86610f0aa0b2afb92f400438818 | [
"MIT"
] | 300 | 2018-03-22T12:09:15.000Z | 2022-03-30T05:33:39.000Z | server/planarserver.py | Kruptein/PlanarAlly | 6c7dd9d02474a86610f0aa0b2afb92f400438818 | [
"MIT"
] | 482 | 2018-03-08T23:44:56.000Z | 2022-03-30T18:06:04.000Z | server/planarserver.py | Kruptein/PlanarAlly | 6c7dd9d02474a86610f0aa0b2afb92f400438818 | [
"MIT"
] | 79 | 2018-05-12T18:42:59.000Z | 2022-03-29T17:12:22.000Z | """
PlanarAlly backend server code.
This is the code responsible for starting the backend and reacting to socket IO events.
"""
# Check for existence of './templates/' as it is not present if client was not built before
from argparse import ArgumentParser
import getpass
import os
import sys
from urllib.parse import qu... | 26.807818 | 209 | 0.608019 |
6cb9bbb0555ba2a5c7a5a94cfaaf5f2a82d1f4f2 | 1,154 | py | Python | stack/stack_fixed_listSize.py | vsjadhav/DSA_python | 1dd71b418bb604ebfd561c3dc9b8e123486ad8ef | [
"MIT"
] | null | null | null | stack/stack_fixed_listSize.py | vsjadhav/DSA_python | 1dd71b418bb604ebfd561c3dc9b8e123486ad8ef | [
"MIT"
] | null | null | null | stack/stack_fixed_listSize.py | vsjadhav/DSA_python | 1dd71b418bb604ebfd561c3dc9b8e123486ad8ef | [
"MIT"
] | null | null | null |
class stack:
def __init__(self,maxsize):
self.maxsize = maxsize
self.list = []
def __str__(self):
l = self.list.copy()
l.reverse()
l1 = [str(i) for i in l]
return "\n".join(l1)
def isempty(self):
if self.list:
return False
... | 20.981818 | 42 | 0.517331 |
35b0eba9267b6373aa25aaecb78149840bf6dd2d | 8,647 | py | Python | python/pyspark/ml/wrapper.py | kandu009/Apache_Spark | 7092a1600a6a151a77d6bf9d64e00fcd43f979e4 | [
"BSD-3-Clause-Open-MPI",
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"MIT-0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause-Clear",
"BSD-3-Clause"
] | 1 | 2017-06-02T09:51:13.000Z | 2017-06-02T09:51:13.000Z | python/pyspark/ml/wrapper.py | kandu009/Apache_Spark | 7092a1600a6a151a77d6bf9d64e00fcd43f979e4 | [
"BSD-3-Clause-Open-MPI",
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"MIT-0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause-Clear",
"BSD-3-Clause"
] | null | null | null | python/pyspark/ml/wrapper.py | kandu009/Apache_Spark | 7092a1600a6a151a77d6bf9d64e00fcd43f979e4 | [
"BSD-3-Clause-Open-MPI",
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"MIT-0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause-Clear",
"BSD-3-Clause"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 35.293878 | 98 | 0.649474 |
83e51c71e5bdaa1e79b0f051b9929c261e25a3fd | 1,681 | py | Python | tests/st/ops/ascend/test_biasAddGrad.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | 1 | 2020-05-13T11:31:21.000Z | 2020-05-13T11:31:21.000Z | tests/st/ops/ascend/test_biasAddGrad.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | null | null | null | tests/st/ops/ascend/test_biasAddGrad.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 36.543478 | 114 | 0.710886 |
ee32ebc522ac8a42999da011ebc916a8df314599 | 1,517 | py | Python | samples/snippets/language_sentiment_analysis_predict_test.py | renovate-bot/python-automl | 5c1a9a383680bc5b89f514aa9a3aef47af9feac2 | [
"Apache-2.0"
] | 68 | 2020-01-31T18:13:23.000Z | 2022-03-28T14:57:12.000Z | samples/snippets/language_sentiment_analysis_predict_test.py | renovate-bot/python-automl | 5c1a9a383680bc5b89f514aa9a3aef47af9feac2 | [
"Apache-2.0"
] | 184 | 2020-01-31T17:34:00.000Z | 2022-03-30T22:42:11.000Z | samples/snippets/language_sentiment_analysis_predict_test.py | isabella232/python-automl | dbf1bf1bcc7575cd5ab85921311e18ecfed27dc7 | [
"Apache-2.0"
] | 29 | 2020-01-31T19:32:55.000Z | 2022-01-29T08:07:34.000Z | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 34.477273 | 75 | 0.759394 |
6d1bd0bedda48972f98a2608dc4637dd8bffd3bf | 454 | py | Python | backend/music/migrations/0004_artist_scene_name.py | kiselevvn/django-music | 3c61319fb03d52f8642b21eefc80dccb912ddcd0 | [
"MIT"
] | null | null | null | backend/music/migrations/0004_artist_scene_name.py | kiselevvn/django-music | 3c61319fb03d52f8642b21eefc80dccb912ddcd0 | [
"MIT"
] | null | null | null | backend/music/migrations/0004_artist_scene_name.py | kiselevvn/django-music | 3c61319fb03d52f8642b21eefc80dccb912ddcd0 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.9 on 2021-11-20 00:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('music', '0003_auto_20211120_0344'),
]
operations = [
migrations.AddField(
model_name='artist',
name='scene_name',
... | 23.894737 | 118 | 0.629956 |
be6683a5fbaac35658c38a5c9e751bf1dbdc4559 | 888 | py | Python | computer_network_real/6/singleProcessServer.py | mtjin/University_and_AndroidProjects | c0ac3394043fd10730e68b391866d55c3be2c23b | [
"MIT"
] | 1 | 2021-04-13T12:06:51.000Z | 2021-04-13T12:06:51.000Z | computer_network_real/6/singleProcessServer.py | mtjin/University | c0ac3394043fd10730e68b391866d55c3be2c23b | [
"MIT"
] | 2 | 2022-01-21T23:46:50.000Z | 2022-01-21T23:48:45.000Z | computer_network_real/6/singleProcessServer.py | mtjin/university | c0ac3394043fd10730e68b391866d55c3be2c23b | [
"MIT"
] | null | null | null | import time
import os
import socket
def send_recv(client_socket):
data = client_socket.recv(1024)
print("[client {}] {}".format(os.getpid(), data.decode()))
response = "HTTP/1.1 200 OK\r\n"
client_socket.send(response.encode('utf-8'))
client_socket.send(data)
client_socket.close()
def main(FLA... | 26.117647 | 68 | 0.643018 |
3230369953fec889fbe51ac623fc79d0887a48af | 12,107 | py | Python | composer/airflow_1_samples/kubernetes_pod_operator.py | BaljitSingh919/Project360 | b8ec08f6598e6b4d6d190b63c6b64f268225bd2d | [
"Apache-2.0"
] | 5,938 | 2015-05-18T05:04:37.000Z | 2022-03-31T20:16:39.000Z | composer/airflow_1_samples/kubernetes_pod_operator.py | BaljitSingh919/Project360 | b8ec08f6598e6b4d6d190b63c6b64f268225bd2d | [
"Apache-2.0"
] | 4,730 | 2015-05-07T19:00:38.000Z | 2022-03-31T21:59:41.000Z | composer/airflow_1_samples/kubernetes_pod_operator.py | BaljitSingh919/Project360 | b8ec08f6598e6b4d6d190b63c6b64f268225bd2d | [
"Apache-2.0"
] | 6,734 | 2015-05-05T17:06:20.000Z | 2022-03-31T12:02:51.000Z | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 51.084388 | 91 | 0.664905 |
3375c9df434c5eb9f95398b6e36650226bb0dc6c | 740 | py | Python | local_deploy/rx_info/migrations/0005_rxclaim.py | jojordan3/prescription-search-django | 7c36766e7bac5d22e42d6bd2bae7ca3d5865f93b | [
"MIT"
] | 1 | 2019-05-21T11:33:32.000Z | 2019-05-21T11:33:32.000Z | local_deploy/rx_info/migrations/0005_rxclaim.py | jojordan3/prescription-search-django | 7c36766e7bac5d22e42d6bd2bae7ca3d5865f93b | [
"MIT"
] | 3 | 2020-02-11T23:48:18.000Z | 2021-06-10T21:15:44.000Z | local_deploy/rx_info/migrations/0005_rxclaim.py | jojordan3/prescription-search-django | 7c36766e7bac5d22e42d6bd2bae7ca3d5865f93b | [
"MIT"
] | null | null | null | # Generated by Django 2.1.7 on 2019-03-10 11:28
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('rx_info', '0004_auto_20190310_0353'),
]
operations = [
migrations.CreateModel(
name='RxClaim',
fields=[
... | 30.833333 | 114 | 0.583784 |
2f8c75cc950bb0dcd0e35775f08911de99cc5e44 | 460 | py | Python | commands/cmd_stats.py | Serbirial/regiusBot | ac54e10f721ccbd6c1848130abecff2aa8552778 | [
"MIT"
] | 2 | 2018-01-07T06:12:23.000Z | 2018-03-29T12:52:54.000Z | commands/cmd_stats.py | zekroTJA/regiusBot | ac54e10f721ccbd6c1848130abecff2aa8552778 | [
"MIT"
] | null | null | null | commands/cmd_stats.py | zekroTJA/regiusBot | ac54e10f721ccbd6c1848130abecff2aa8552778 | [
"MIT"
] | 14 | 2017-06-28T11:46:04.000Z | 2020-09-06T17:46:42.000Z | from discord import Embed, Color
description = "Shows the link to the statistics page of the guild"
async def ex(message, client):
await client.send_message(message.channel, embed=Embed(color=Color.gold(),
title="Discord Member Stats",
... | 38.333333 | 115 | 0.563043 |
6ff96649c38d7c815726ba986224419811968f77 | 12,814 | py | Python | stingray/crosscorrelation.py | pierfra-ro/stingray | d255e3ced23e97d297be7d8d659ddf163b808064 | [
"MIT"
] | 133 | 2016-02-05T09:37:00.000Z | 2022-03-30T04:49:18.000Z | stingray/crosscorrelation.py | pierfra-ro/stingray | d255e3ced23e97d297be7d8d659ddf163b808064 | [
"MIT"
] | 578 | 2016-02-04T10:38:28.000Z | 2022-03-31T13:27:13.000Z | stingray/crosscorrelation.py | pierfra-ro/stingray | d255e3ced23e97d297be7d8d659ddf163b808064 | [
"MIT"
] | 125 | 2016-02-04T17:04:43.000Z | 2022-03-24T18:05:22.000Z | import warnings
import numpy as np
from scipy import signal
try:
from pyfftw.interfaces.scipy_fft import ifft, fftfreq
except ImportError:
warnings.warn("pyfftw not installed. Using standard scipy fft")
from scipy.fft import ifft, fftfreq
from stingray.lightcurve import Lightcurve
from stingray.crossspect... | 35.994382 | 110 | 0.604729 |
9df3fbb38695bb52cbdc2f05bc725c14e12b94f3 | 5,061 | py | Python | app/user/tests/test_user_api.py | Kshitiz-Karki/recipe-app-api | 22526e58200235197e17b25cfd06f23de12160a1 | [
"MIT"
] | null | null | null | app/user/tests/test_user_api.py | Kshitiz-Karki/recipe-app-api | 22526e58200235197e17b25cfd06f23de12160a1 | [
"MIT"
] | null | null | null | app/user/tests/test_user_api.py | Kshitiz-Karki/recipe-app-api | 22526e58200235197e17b25cfd06f23de12160a1 | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.contrib.auth import get_user_model
from django.urls import reverse
from rest_framework.test import APIClient
from rest_framework import status
CREATE_USER_URL = reverse('user:create')
TOKEN_URL = reverse('user:token')
ME_URL = reverse('user:me')
def create_user(**params... | 34.903448 | 77 | 0.647105 |
526845c85ca9e714514e62361698377e120e89b4 | 5,555 | py | Python | nova/tests/unit/fake_notifier.py | confi-surya/nova | adda77352cbe037f47c86bbd809c94fee269eaae | [
"Apache-2.0"
] | 1 | 2018-12-28T06:47:39.000Z | 2018-12-28T06:47:39.000Z | nova/tests/unit/fake_notifier.py | confi-surya/nova | adda77352cbe037f47c86bbd809c94fee269eaae | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/fake_notifier.py | confi-surya/nova | adda77352cbe037f47c86bbd809c94fee269eaae | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 38.047945 | 78 | 0.59622 |
c40b0a433fa8e3a5c20daeeb9f134993911bada7 | 5,613 | py | Python | tests/glsl.py | Konsonanz/dnload | 52668c73339f6d11b54c8b41e6fe3ba6c4ef6b77 | [
"BSD-3-Clause"
] | 63 | 2016-11-03T09:13:58.000Z | 2022-03-29T12:54:58.000Z | tests/glsl.py | Konsonanz/dnload | 52668c73339f6d11b54c8b41e6fe3ba6c4ef6b77 | [
"BSD-3-Clause"
] | 6 | 2018-07-27T18:21:25.000Z | 2021-03-19T08:04:07.000Z | tests/glsl.py | Konsonanz/dnload | 52668c73339f6d11b54c8b41e6fe3ba6c4ef6b77 | [
"BSD-3-Clause"
] | 10 | 2016-07-27T17:03:00.000Z | 2021-03-13T19:34:36.000Z | #!/usr/bin/env python
import argparse
import os
import re
import sys
(pathname, basename) = os.path.split(__file__)
if pathname and (pathname != "."):
sys.path.append(pathname + "/..")
from dnload.common import executable_check
from dnload.common import executable_search
from dnload.common import is_verbose
from... | 38.445205 | 130 | 0.605737 |
5e8b9eac9c03c795b43fc0064a660bdb33a27529 | 13,261 | py | Python | Code/CAML/zzz_ReduceDataPoints.py | NoldAndreas/FINDER | a3d947c5d59a7cd6e54400b0e9aeb9e111689976 | [
"MIT"
] | null | null | null | Code/CAML/zzz_ReduceDataPoints.py | NoldAndreas/FINDER | a3d947c5d59a7cd6e54400b0e9aeb9e111689976 | [
"MIT"
] | null | null | null | Code/CAML/zzz_ReduceDataPoints.py | NoldAndreas/FINDER | a3d947c5d59a7cd6e54400b0e9aeb9e111689976 | [
"MIT"
] | 1 | 2022-02-08T17:03:39.000Z | 2022-02-08T17:03:39.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Reduces the number of points in SMLM images to a given maximum count or fraction.
This script takes a folder of SMLM files and, for each file, saves a copy of it up
to the specified maximum number of points in the output folder.
The number of points is given either ... | 46.858657 | 207 | 0.618882 |
d9843954431b5b52ec43e3ae9e5373ec437b4722 | 106,536 | py | Python | scripts/pfg.py | sjkelly/openlane | 0fec8c8fb2382d3d487127face5109ec7d2baa51 | [
"Apache-2.0"
] | 2 | 2021-09-23T01:55:01.000Z | 2022-03-10T04:06:44.000Z | scripts/pfg.py | sjkelly/openlane | 0fec8c8fb2382d3d487127face5109ec7d2baa51 | [
"Apache-2.0"
] | null | null | null | scripts/pfg.py | sjkelly/openlane | 0fec8c8fb2382d3d487127face5109ec7d2baa51 | [
"Apache-2.0"
] | 2 | 2021-09-23T01:55:04.000Z | 2022-01-30T10:01:33.000Z | #!/usr/bin/env python3
# Copyright 2020 Efabless Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 41.101852 | 146 | 0.484315 |
117c6caed0886eec8c0aac5561ccec9deb809112 | 577 | py | Python | run.py | littlebai3618/bproxypool | 358cf5c14164dadbd0d9bdf7cc3932b46ec81812 | [
"MIT"
] | 2 | 2019-12-26T02:49:59.000Z | 2020-02-11T09:22:07.000Z | run.py | littlebai3618/bproxypool | 358cf5c14164dadbd0d9bdf7cc3932b46ec81812 | [
"MIT"
] | 3 | 2021-03-31T19:33:59.000Z | 2021-12-13T20:29:21.000Z | run.py | littlebai3618/bproxypool | 358cf5c14164dadbd0d9bdf7cc3932b46ec81812 | [
"MIT"
] | 2 | 2020-01-25T12:05:47.000Z | 2020-07-19T02:57:12.000Z | import sys
import traceback
from bproxypool.scheduler import run
from bproxypool.server import create_app
from bproxypool.utils.notify import ding
app = create_app()
if __name__ == '__main__':
# app.run(debug=True)
if len(sys.argv) == 2:
if sys.argv[1] == 'scheduler':
try:
... | 26.227273 | 73 | 0.577123 |
7967904c21083809b412cf1d907dfc6346771e2c | 833 | py | Python | short_reads_pipeline/tools/deepargClass.py | antkak/deeparg-keras | 0f3b640249d22a0c5aea7e8ad9c9af0b667d2176 | [
"MIT"
] | null | null | null | short_reads_pipeline/tools/deepargClass.py | antkak/deeparg-keras | 0f3b640249d22a0c5aea7e8ad9c9af0b667d2176 | [
"MIT"
] | null | null | null | short_reads_pipeline/tools/deepargClass.py | antkak/deeparg-keras | 0f3b640249d22a0c5aea7e8ad9c9af0b667d2176 | [
"MIT"
] | null | null | null | import os
import sys
def run(R, data, path_to_deeparg='/deeparg/'):
# print sys.path
try:
cmd = " ".join(
['python '+path_to_deeparg+'deepARG.py',
'--align',
'--type nucl',
'--reads',
'--input', R,
'--output', R+'.deeparg',
... | 28.724138 | 126 | 0.510204 |
ced0a153679ae5cae7f1dfab12edba497d745736 | 851 | py | Python | Data Science and Machine Learning/Machine-Learning-In-Python-THOROUGH/EXAMPLES/EDABIT/EXPERT/148_sum_of_digits.py | okara83/Becoming-a-Data-Scientist | f09a15f7f239b96b77a2f080c403b2f3e95c9650 | [
"MIT"
] | null | null | null | Data Science and Machine Learning/Machine-Learning-In-Python-THOROUGH/EXAMPLES/EDABIT/EXPERT/148_sum_of_digits.py | okara83/Becoming-a-Data-Scientist | f09a15f7f239b96b77a2f080c403b2f3e95c9650 | [
"MIT"
] | null | null | null | Data Science and Machine Learning/Machine-Learning-In-Python-THOROUGH/EXAMPLES/EDABIT/EXPERT/148_sum_of_digits.py | okara83/Becoming-a-Data-Scientist | f09a15f7f239b96b77a2f080c403b2f3e95c9650 | [
"MIT"
] | 2 | 2022-02-09T15:41:33.000Z | 2022-02-11T07:47:40.000Z | """
https://edabit.com/challenge/K7NbqZBYD5xzZLro9 EXPERT----
Sum of Digits
Create a function that takes a range of numbers and returns the sum of each digit from start to stop.
Examples
digits_sum(1, 10) ➞ 46
# total numbers in the range are = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
# sum of each digits is = 1 + 2 + ... | 23 | 101 | 0.620447 |
66d97823e69fccc90f89137feb031bf67263da85 | 6,453 | py | Python | lib/data/datasets/aicity20_ReOri.py | Johere/AICity2020-VOC-ReID | 21268535595c8c90b87cd1ee89ddbcb341a86d76 | [
"MIT"
] | 100 | 2020-04-25T03:58:01.000Z | 2022-03-30T18:24:17.000Z | lib/data/datasets/aicity20_ReOri.py | hanleiyu/prcv | df5ad9469b38b8176121357fe5de2b1cf30aae1c | [
"MIT"
] | 30 | 2020-04-27T07:15:00.000Z | 2022-01-03T19:49:49.000Z | lib/data/datasets/aicity20_ReOri.py | hanleiyu/prcv | df5ad9469b38b8176121357fe5de2b1cf30aae1c | [
"MIT"
] | 25 | 2020-04-25T22:53:30.000Z | 2022-03-28T00:46:51.000Z | # encoding: utf-8
import glob
import re
import os
import os.path as osp
import xml.etree.ElementTree as ET
import json
from .bases import BaseImageDataset
from .aicity20 import AICity20
class AICity20ReOri(AICity20):
"""
Simulation data: include attribute information
- orientation
- color
- cls t... | 38.640719 | 117 | 0.619867 |
0d2dca954c15b19a9192f409d0a9ae287a44d785 | 2,325 | py | Python | algorithms/patterns/01. Sliding window/07. Longest Substring with Same Letters after Replacement.py | csanry/dsa | 3ba72e0a76a24f261b9c0974cdad862ed97cf3bc | [
"MIT"
] | 1 | 2022-01-06T11:35:28.000Z | 2022-01-06T11:35:28.000Z | algorithms/patterns/01. Sliding window/07. Longest Substring with Same Letters after Replacement.py | csanry/dsa | 3ba72e0a76a24f261b9c0974cdad862ed97cf3bc | [
"MIT"
] | null | null | null | algorithms/patterns/01. Sliding window/07. Longest Substring with Same Letters after Replacement.py | csanry/dsa | 3ba72e0a76a24f261b9c0974cdad862ed97cf3bc | [
"MIT"
] | null | null | null | '''
Problem Statement
Given a string with lowercase letters only, if you are allowed to replace no more than ‘k’ letters with any letter, find the length of the longest substring having the same letters after replacement.
Example 1: Input: String="aabccbb", k=2
Output: 5
Explanation: Replace the two 'c' with 'b' to ha... | 40.086207 | 213 | 0.715269 |
0c1c0ff68126806825202c312a1983297c28a3a3 | 1,030 | py | Python | server.py | BladeSides/ApertER-API | 538c3f2e8b602ad7c0296cf5b6621bd32e26ea55 | [
"MIT"
] | null | null | null | server.py | BladeSides/ApertER-API | 538c3f2e8b602ad7c0296cf5b6621bd32e26ea55 | [
"MIT"
] | null | null | null | server.py | BladeSides/ApertER-API | 538c3f2e8b602ad7c0296cf5b6621bd32e26ea55 | [
"MIT"
] | null | null | null | from bottle import get, route, post, run, request # or route
from aperter import er_, json_
@route('/')
def root():
return '''
<h1>Wrong Route</h1>
'''
@route('/api')
def api():
url = request.query.url
try:
em = -1
em = er_(url=url)
except:
print("ur... | 23.953488 | 61 | 0.505825 |
fc2242b17a2df5b65645ac7bb1b898fee82e5a39 | 35,868 | py | Python | venv/Lib/site-packages/fontTools/merge.py | arnoyu-hub/COMP0016miemie | 59af664dcf190eab4f93cefb8471908717415fea | [
"MIT"
] | 7 | 2016-03-22T12:14:47.000Z | 2021-05-07T20:21:11.000Z | activate/Lib/site-packages/fontTools/merge.py | Tanushree28/Cyberbullying-Detection | 3a69ade5cf068b640a0d6d1f176ff0d0e2040501 | [
"MIT"
] | 3 | 2019-03-28T18:17:45.000Z | 2021-06-30T23:37:13.000Z | activate/Lib/site-packages/fontTools/merge.py | Tanushree28/Cyberbullying-Detection | 3a69ade5cf068b640a0d6d1f176ff0d0e2040501 | [
"MIT"
] | 3 | 2020-08-04T02:48:32.000Z | 2020-08-17T01:20:09.000Z | # Copyright 2013 Google, Inc. All Rights Reserved.
#
# Google Author(s): Behdad Esfahbod, Roozbeh Pournader
from fontTools.misc.timeTools import timestampNow
from fontTools import ttLib, cffLib
from fontTools.ttLib.tables import otTables, _h_e_a_d
from fontTools.ttLib.tables.DefaultTable import DefaultTable
from fontT... | 27.956352 | 134 | 0.704974 |
c26534002f66ede36e3690eb0558960e0bfc378e | 2,906 | py | Python | manage.py | MahmoudYounes/BeOS | e832950a9103f154903eb600b0496d95c9826efb | [
"MIT"
] | null | null | null | manage.py | MahmoudYounes/BeOS | e832950a9103f154903eb600b0496d95c9826efb | [
"MIT"
] | null | null | null | manage.py | MahmoudYounes/BeOS | e832950a9103f154903eb600b0496d95c9826efb | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""
script that manages BeOS development operations
TODO: move to make (done)
this build script is obsolete please use make instead (this build script won't be supported)
"""
import os, sys, subprocess, shutil
CURRENT_DIR = os.getcwd()
BOOTLOADER_DIR = "{}/bootLoader/".format(CURRENT_DIR)
BUILD_... | 25.051724 | 98 | 0.698899 |
d3786434e8d88119ce25a92b0d44565708206b7c | 1,717 | py | Python | custom_components/dwains_dashboard/load_plugins.py | pavolholes/dwains-lovelace-dashboard | bab816a165832ac0c36e4faf5ae3a7fd67c31004 | [
"MIT"
] | null | null | null | custom_components/dwains_dashboard/load_plugins.py | pavolholes/dwains-lovelace-dashboard | bab816a165832ac0c36e4faf5ae3a7fd67c31004 | [
"MIT"
] | null | null | null | custom_components/dwains_dashboard/load_plugins.py | pavolholes/dwains-lovelace-dashboard | bab816a165832ac0c36e4faf5ae3a7fd67c31004 | [
"MIT"
] | null | null | null | import logging
DATA_EXTRA_MODULE_URL = 'frontend_extra_module_url'
_LOGGER = logging.getLogger(__name__)
def load_plugins(hass, name):
if DATA_EXTRA_MODULE_URL not in hass.data:
hass.data[DATA_EXTRA_MODULE_URL] = set()
url_set = set()
url_set.add("/dwains_dashboard/js/dwains-dashboard... | 53.65625 | 120 | 0.75364 |
9028f820032f80750b0d5881028659e2c6f86ba6 | 3,427 | py | Python | kubernetes/client/models/v1_load_balancer_status.py | dix000p/kubernetes-client-python | 22e473e02883aca1058606092c86311f02f42be2 | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1_load_balancer_status.py | dix000p/kubernetes-client-python | 22e473e02883aca1058606092c86311f02f42be2 | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1_load_balancer_status.py | dix000p/kubernetes-client-python | 22e473e02883aca1058606092c86311f02f42be2 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.8.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
... | 26.984252 | 147 | 0.570178 |
ed95a22194a487caea28d40f2ae6c4e04bb31ea0 | 938 | py | Python | SparkState/src/SparkState/urls.py | lumanjiao/XLS_BigData | 2c4c37872b8636df1c8b0e005bc12a635a753c7a | [
"Apache-2.0"
] | 11 | 2019-03-20T07:38:35.000Z | 2021-06-18T09:42:46.000Z | SparkState/src/SparkState/urls.py | lumanjiao/XLS_BigData | 2c4c37872b8636df1c8b0e005bc12a635a753c7a | [
"Apache-2.0"
] | null | null | null | SparkState/src/SparkState/urls.py | lumanjiao/XLS_BigData | 2c4c37872b8636df1c8b0e005bc12a635a753c7a | [
"Apache-2.0"
] | 5 | 2019-06-29T03:13:02.000Z | 2020-04-23T04:47:11.000Z | #!/usr/bin/env python
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you ma... | 40.782609 | 74 | 0.763326 |
96d8e8fa18f8aeed4c6c83986c6ad970a29dda05 | 251 | py | Python | calender/calender/doctype/wisests/wisests.py | bahaaabed/AumAlqura | 9d12d7917225d9e82b4a480c3bc8f7acf8edab77 | [
"MIT"
] | null | null | null | calender/calender/doctype/wisests/wisests.py | bahaaabed/AumAlqura | 9d12d7917225d9e82b4a480c3bc8f7acf8edab77 | [
"MIT"
] | null | null | null | calender/calender/doctype/wisests/wisests.py | bahaaabed/AumAlqura | 9d12d7917225d9e82b4a480c3bc8f7acf8edab77 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2022, bahaa and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
# import frappe
from frappe.model.document import Document
class Wisests(Document):
pass
| 22.818182 | 49 | 0.768924 |
3838da9ae3173fb4e8eab12556058dc965d4dcab | 97 | py | Python | domain/example.py | kirberich/django-heroku-template | 425443f6b7d12f0db99a218f6809d9bba5a57443 | [
"MIT"
] | null | null | null | domain/example.py | kirberich/django-heroku-template | 425443f6b7d12f0db99a218f6809d9bba5a57443 | [
"MIT"
] | null | null | null | domain/example.py | kirberich/django-heroku-template | 425443f6b7d12f0db99a218f6809d9bba5a57443 | [
"MIT"
] | null | null | null | from data.models import TestModel
def get(obj_id):
return TestModel.objects.get(id=obj_id)
| 16.166667 | 43 | 0.762887 |
536e69b7f446e2d85d7b4c89a09698724694f79e | 965 | py | Python | logger.py | andyts93/plex-coming-soon | f7d83f2bf6d41675af4e772dcb2cecf545d9e3ba | [
"MIT"
] | 1 | 2020-03-17T22:54:43.000Z | 2020-03-17T22:54:43.000Z | logger.py | andyts93/plex-coming-soon | f7d83f2bf6d41675af4e772dcb2cecf545d9e3ba | [
"MIT"
] | 1 | 2020-05-05T21:38:38.000Z | 2020-05-18T10:43:27.000Z | logger.py | andyts93/plex-coming-soon | f7d83f2bf6d41675af4e772dcb2cecf545d9e3ba | [
"MIT"
] | null | null | null | import logging
import sys
import os
from logging.handlers import TimedRotatingFileHandler
LOG_FILE_NAME = os.path.dirname(__file__)+'/logs/log.log'
# set up formatting
formatter = logging.Formatter('[%(asctime)s] %(levelname)s (%(process)d) %(module)s:%(lineno)d %(message)s')
# set up logging to STDOUT for... | 29.242424 | 109 | 0.75544 |
8116be124837867eb1f298247bc96380e91be18f | 35 | py | Python | python/testData/codeInsight/controlflow/MatchStatementSingleClauseBindingSequencePattern.py | 06needhamt/intellij-community | 63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b | [
"Apache-2.0"
] | null | null | null | python/testData/codeInsight/controlflow/MatchStatementSingleClauseBindingSequencePattern.py | 06needhamt/intellij-community | 63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b | [
"Apache-2.0"
] | null | null | null | python/testData/codeInsight/controlflow/MatchStatementSingleClauseBindingSequencePattern.py | 06needhamt/intellij-community | 63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b | [
"Apache-2.0"
] | null | null | null | match 42:
case [x]:
y
z | 8.75 | 13 | 0.4 |
9cad242776a41b0bec1bc250b4b244b12b4279ba | 1,275 | py | Python | testsuites/test_douban.py | BranRoyal/automation_framework | acb9434b58e18a61605935f7e66c9c68224e8de1 | [
"MIT"
] | null | null | null | testsuites/test_douban.py | BranRoyal/automation_framework | acb9434b58e18a61605935f7e66c9c68224e8de1 | [
"MIT"
] | null | null | null | testsuites/test_douban.py | BranRoyal/automation_framework | acb9434b58e18a61605935f7e66c9c68224e8de1 | [
"MIT"
] | null | null | null | # _*_ coding=utf-8 _*_
import time
import unittest
from framework.browser_engine import BrowserEngine
from pageobjects.home_page import HomePage
class TestDouBan(unittest.TestCase):
@classmethod
def setUp(cls):
"""
测试固件的setUp()的代码，主要是测试的前提准备工作
:return:
"""
browser = B... | 26.5625 | 86 | 0.600784 |
edae3254d91c148a979e5f2b3f83b9f3a776950f | 8,825 | py | Python | doc/source/conf.py | zjzh/nova | 7bb21723171c59b93e28f5d508c2b6df39220f13 | [
"Apache-2.0"
] | 1,874 | 2015-01-04T05:18:34.000Z | 2022-03-31T03:30:28.000Z | doc/source/conf.py | zjzh/nova | 7bb21723171c59b93e28f5d508c2b6df39220f13 | [
"Apache-2.0"
] | 40 | 2015-04-13T02:32:42.000Z | 2022-02-16T02:28:06.000Z | doc/source/conf.py | zjzh/nova | 7bb21723171c59b93e28f5d508c2b6df39220f13 | [
"Apache-2.0"
] | 1,996 | 2015-01-04T15:11:51.000Z | 2022-03-31T11:03:13.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the ... | 32.208029 | 99 | 0.66051 |
046ec54238ecec204769f55470dbe32cf28c7219 | 518 | py | Python | api/migrations/0004_auto_20200906_1752.py | sh2MAN/yamdb_final | 17f84bacd832237d88d3389605cf2acdf2a590f5 | [
"BSD-3-Clause"
] | null | null | null | api/migrations/0004_auto_20200906_1752.py | sh2MAN/yamdb_final | 17f84bacd832237d88d3389605cf2acdf2a590f5 | [
"BSD-3-Clause"
] | null | null | null | api/migrations/0004_auto_20200906_1752.py | sh2MAN/yamdb_final | 17f84bacd832237d88d3389605cf2acdf2a590f5 | [
"BSD-3-Clause"
] | 12 | 2021-02-11T16:39:00.000Z | 2022-03-30T19:18:24.000Z | # Generated by Django 3.0.5 on 2020-09-06 14:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0003_auto_20200906_1745'),
]
operations = [
migrations.RemoveConstraint(
model_name='review',
name='unique_re... | 23.545455 | 95 | 0.600386 |
80237a621c7ba7b199d8f1c02c8f009484e6a9fd | 596 | py | Python | model/deeplabv3/backbone/__init__.py | steermomo/pytorch-template | bddd62ee292c9f356b4b0a305fb0832176912c80 | [
"MIT"
] | 1 | 2021-08-21T09:37:07.000Z | 2021-08-21T09:37:07.000Z | model/deeplabv3/backbone/__init__.py | steermomo/pytorch-template | bddd62ee292c9f356b4b0a305fb0832176912c80 | [
"MIT"
] | null | null | null | model/deeplabv3/backbone/__init__.py | steermomo/pytorch-template | bddd62ee292c9f356b4b0a305fb0832176912c80 | [
"MIT"
] | null | null | null | from model.deeplabv3.backbone import resnet, mobilenet # xception, drn,
def build_backbone(backbone, output_stride, BatchNorm):
if backbone == 'resnet':
return resnet.ResNet101(output_stride, BatchNorm)
elif backbone == 'xception':
# return xception.AlignedXception(output_stride, BatchNorm)
... | 37.25 | 72 | 0.706376 |
fe34ea49356ebcb17761ed5f70cf15a890065b3a | 2,187 | py | Python | helper.py | zhiji95/cDCGAN-face-completion-classification | 1eaad325eea5e0e8e233b805f4dbec23e1052fb3 | [
"MIT"
] | 11 | 2019-01-11T15:00:27.000Z | 2020-11-11T10:05:39.000Z | helper.py | zhiji95/cDCGAN-face-completion-classification | 1eaad325eea5e0e8e233b805f4dbec23e1052fb3 | [
"MIT"
] | 12 | 2020-01-28T22:06:44.000Z | 2022-03-11T23:39:26.000Z | helper.py | zhiji95/cDCGAN-face-completion-classification | 1eaad325eea5e0e8e233b805f4dbec23e1052fb3 | [
"MIT"
] | 3 | 2019-05-07T13:41:14.000Z | 2019-07-21T18:42:18.000Z | import os
import hashlib
from urllib.request import urlretrieve
import shutil
from tqdm import tqdm
def download_extract(data_path):
"""
Download and extract database
:param database_name: Database name
"""
database_name = 'CelebA'
url = 'https://s3-us-west-1.amazonaws.com/udacity-dlnfd/data... | 31.695652 | 116 | 0.657979 |
858876c47b7ccdcc172524c1522bf318be23ab48 | 320 | py | Python | lib/models/linear.py | qipengwang/TransPose | 2ca260768f3b0afdb92c7a0425c3c28e9cdd379d | [
"MIT"
] | null | null | null | lib/models/linear.py | qipengwang/TransPose | 2ca260768f3b0afdb92c7a0425c3c28e9cdd379d | [
"MIT"
] | null | null | null | lib/models/linear.py | qipengwang/TransPose | 2ca260768f3b0afdb92c7a0425c3c28e9cdd379d | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
class LinearProjection(nn.Module):
def __init__(self) -> None:
super().__init__()
self.features = [nn.Conv2d(3, 3, 8, 8)]
self.model = nn.Sequential(*self.features)
self.features_out = [3]
def forward(self, x):
return self.model(x) | 26.666667 | 50 | 0.60625 |
bb4877ba9e24d38f6654520d945348a3b6ac7c01 | 3,723 | py | Python | tests/test_electrochem.py | donnyyy777/pyteomics | dc0cafb16823767457fa52342574e3fa1c61b970 | [
"Apache-2.0"
] | 47 | 2020-02-29T21:47:01.000Z | 2022-03-17T13:27:30.000Z | tests/test_electrochem.py | donnyyy777/pyteomics | dc0cafb16823767457fa52342574e3fa1c61b970 | [
"Apache-2.0"
] | 53 | 2020-04-07T01:40:31.000Z | 2022-03-17T12:15:44.000Z | tests/test_electrochem.py | donnyyy777/pyteomics | dc0cafb16823767457fa52342574e3fa1c61b970 | [
"Apache-2.0"
] | 23 | 2020-02-29T21:47:13.000Z | 2021-11-26T04:32:07.000Z | from os import path
import pyteomics
pyteomics.__path__ = [path.abspath(path.join(path.dirname(__file__), path.pardir, 'pyteomics'))]
import unittest
from pyteomics.electrochem import charge, pI
from pyteomics.auxiliary import PyteomicsError
class ElectrochemTest(unittest.TestCase):
def setUp(self):
pass
... | 41.831461 | 96 | 0.425195 |
296b1521278318f8e12397bdc41f811ab8c7df58 | 8,019 | py | Python | src/lib/detectors/car_pose.py | ngoductuanlhp/GAC3D | 5eb8dbb025546f7d800559c685bb96969991fa87 | [
"MIT"
] | 5 | 2021-07-31T13:20:38.000Z | 2022-02-22T16:50:19.000Z | src/lib/detectors/car_pose.py | ngoductuanlhp/GAC3D | 5eb8dbb025546f7d800559c685bb96969991fa87 | [
"MIT"
] | null | null | null | src/lib/detectors/car_pose.py | ngoductuanlhp/GAC3D | 5eb8dbb025546f7d800559c685bb96969991fa87 | [
"MIT"
] | 2 | 2021-08-07T10:13:13.000Z | 2021-10-12T02:05:51.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import cv2
import numpy as np
from progress.bar import Bar
import time
import torch
try:
from external.nms import soft_nms_39
except:
print('NMS not imported! If you need it,'
' do \n cd $Cen... | 42.882353 | 133 | 0.59995 |
3fc85871f2011bfda3cc238aad277770e381962b | 4,364 | py | Python | src/logs/__init__.py | michelle-holmusk/biobank | 8d170373b4e7bc81188cda56b13816be16085ba6 | [
"MIT"
] | null | null | null | src/logs/__init__.py | michelle-holmusk/biobank | 8d170373b4e7bc81188cda56b13816be16085ba6 | [
"MIT"
] | 1 | 2021-08-23T20:43:55.000Z | 2021-08-23T20:43:55.000Z | src/logs/__init__.py | michelle-holmusk/biobank | 8d170373b4e7bc81188cda56b13816be16085ba6 | [
"MIT"
] | null | null | null | '''Module containing helper classes for logging
This module contains two classes. The first one will be used for
generating a new logger object, and another one for uisng that logging
object for new tasks. Each class is modeled as a decorator, that will
inject a ``logging.getLogger`` instance as a first parameter o... | 34.912 | 118 | 0.624427 |
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