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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a3c67e44f8f0cc9608424b5d8a9f9722cd23ab28 | 5,764 | py | Python | rcnn/PY_OP/rpn_fpn_ohem.py | templeblock/mxnet-SSHA | 4ef18f7ea7eca2178fffc70d6aaea4fd18a56de1 | [
"MIT"
] | 6 | 2018-12-06T09:39:31.000Z | 2019-03-08T02:50:22.000Z | rcnn/PY_OP/rpn_fpn_ohem.py | templeblock/mxnet-SSHA | 4ef18f7ea7eca2178fffc70d6aaea4fd18a56de1 | [
"MIT"
] | null | null | null | rcnn/PY_OP/rpn_fpn_ohem.py | templeblock/mxnet-SSHA | 4ef18f7ea7eca2178fffc70d6aaea4fd18a56de1 | [
"MIT"
] | null | null | null |
from __future__ import print_function
import sys
import mxnet as mx
import numpy as np
from distutils.util import strtobool
from ..config import config
CALLING_COUNT=0
COUNT_THRESH_FG=0
COUNT_THRESH_BG=0
STAT = {0:0, 8:0, 16:0, 32:0}
ACC = {0:0, 8:0, 16:0, 32:0}
class RPNFPNOHEMOperator(mx.operator.CustomOp):
de... | 39.210884 | 99 | 0.606176 |
33322ed44e3ee11606ed245cc85b15e63e1686c3 | 1,952 | py | Python | release/stubs.min/Rhino/DocObjects/__init___parts/MaterialRefCreateParams.py | htlcnn/ironpython-stubs | 780d829e2104b2789d5f4d6f32b0ec9f2930ca03 | [
"MIT"
] | 182 | 2017-06-27T02:26:15.000Z | 2022-03-30T18:53:43.000Z | release/stubs.min/Rhino/DocObjects/__init___parts/MaterialRefCreateParams.py | htlcnn/ironpython-stubs | 780d829e2104b2789d5f4d6f32b0ec9f2930ca03 | [
"MIT"
] | 28 | 2017-06-27T13:38:23.000Z | 2022-03-15T11:19:44.000Z | release/stubs.min/Rhino/DocObjects/__init___parts/MaterialRefCreateParams.py | htlcnn/ironpython-stubs | 780d829e2104b2789d5f4d6f32b0ec9f2930ca03 | [
"MIT"
] | 67 | 2017-06-28T09:43:59.000Z | 2022-03-20T21:17:10.000Z | class MaterialRefCreateParams(object):
"""
Options passed to MaterialRefs.Create
MaterialRefCreateParams()
"""
BackFaceMaterialId=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""The Id of the Material used to render the back of an object.
Get: BackFaceMaterialId(self: ... | 21.688889 | 94 | 0.732582 |
e9478b42614d60f98360014f8a5888723ff4c145 | 23,254 | py | Python | setup.py | paulboot/PythonMiniProbe | 30b43096919c726116446fd9846d7d60038ef03f | [
"BSD-3-Clause"
] | null | null | null | setup.py | paulboot/PythonMiniProbe | 30b43096919c726116446fd9846d7d60038ef03f | [
"BSD-3-Clause"
] | null | null | null | setup.py | paulboot/PythonMiniProbe | 30b43096919c726116446fd9846d7d60038ef03f | [
"BSD-3-Clause"
] | null | null | null | default_sensors = "Ping,HTTP,Port,SNMPCustom,CPULoad,Memory,Diskspace,SNMPTraffic,CPUTemp,Probehealth,ExternalIP,ADNS,APT,NMAP,MDADM"
#!/usr/bin/env python3
# Copyright (c) 2014, Paessler AG <support@paessler.com>
# All rights reserved.
# Redistribution and use in source and binary forms, with or without modification, ... | 48.045455 | 141 | 0.569321 |
fd9fac58a973c92571a71f0c49c21e2f5135f822 | 65,776 | py | Python | pandas/tseries/index.py | olgabot/pandas | 286811a2775c9b5ca1c30086b1950dd1060ecf68 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 2 | 2017-03-10T04:16:05.000Z | 2019-04-19T23:02:48.000Z | pandas/tseries/index.py | Gwillink/pandas | ceec8bf305fbd0258edb66c648b87219a435bc32 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | pandas/tseries/index.py | Gwillink/pandas | ceec8bf305fbd0258edb66c648b87219a435bc32 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | # pylint: disable=E1101
import operator
from datetime import time, datetime
from datetime import timedelta
import numpy as np
from pandas.core.common import (isnull, _NS_DTYPE, _INT64_DTYPE,
is_list_like,_values_from_object, _maybe_box,
notnull)
from pa... | 33.086519 | 98 | 0.561816 |
a07aa1a8b655bc9788c5d9e1bc3bc21141f51962 | 4,311 | py | Python | cookiecutter/config.py | PLSV/cookiecutter | 2bd62c67ec3e52b8e537d5346fd96ebd82803efe | [
"BSD-3-Clause"
] | 8 | 2020-06-15T18:49:24.000Z | 2021-04-15T10:34:24.000Z | cookiecutter/config.py | PLSV/cookiecutter | 2bd62c67ec3e52b8e537d5346fd96ebd82803efe | [
"BSD-3-Clause"
] | 19 | 2020-06-28T16:03:56.000Z | 2020-10-07T15:52:06.000Z | cookiecutter/config.py | PLSV/cookiecutter | 2bd62c67ec3e52b8e537d5346fd96ebd82803efe | [
"BSD-3-Clause"
] | 1 | 2020-12-17T13:08:23.000Z | 2020-12-17T13:08:23.000Z | """Global configuration handling."""
import collections
import copy
import logging
import os
import poyo
from cookiecutter.exceptions import ConfigDoesNotExistException, InvalidConfiguration
logger = logging.getLogger(__name__)
USER_CONFIG_PATH = os.path.expanduser('~/.cookiecutterrc')
BUILTIN_ABBREVIATIONS = {
... | 34.488 | 87 | 0.689399 |
273bafb3705a3c03dec9c86413fdbdbf9aacfa4e | 1,556 | py | Python | blog/admin.py | konerjonlar/codejam | a420c2e422366170e8217a0654d6b1254fac7442 | [
"MIT"
] | null | null | null | blog/admin.py | konerjonlar/codejam | a420c2e422366170e8217a0654d6b1254fac7442 | [
"MIT"
] | null | null | null | blog/admin.py | konerjonlar/codejam | a420c2e422366170e8217a0654d6b1254fac7442 | [
"MIT"
] | 1 | 2021-12-03T17:46:48.000Z | 2021-12-03T17:46:48.000Z | from django.contrib import admin
from blog.models import Post, Project
@admin.register(Post)
class PostAdmin(admin.ModelAdmin):
list_display = ("title", "description", "get_tags", "is_active")
search_fields = ("title", "tags")
readonly_fields = ("created_at", "updated_at")
fieldsets = (
(
... | 22.882353 | 68 | 0.359254 |
ebcb529679dc379f570fed2f25c56939b3cdcf97 | 409 | py | Python | conanfile.py | bincrafters/conan-boost_uuid | 18c7dbe5cfa9d1954179e181a5b93bef0f4e8e53 | [
"MIT"
] | null | null | null | conanfile.py | bincrafters/conan-boost_uuid | 18c7dbe5cfa9d1954179e181a5b93bef0f4e8e53 | [
"MIT"
] | 1 | 2018-02-17T18:34:44.000Z | 2018-02-20T18:31:31.000Z | conanfile.py | bincrafters/conan-boost_uuid | 18c7dbe5cfa9d1954179e181a5b93bef0f4e8e53 | [
"MIT"
] | 2 | 2018-02-15T19:18:22.000Z | 2019-10-12T16:22:57.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from conans import python_requires
base = python_requires("boost_base/2.0.0@bincrafters/testing")
class BoostUuidConan(base.BoostBaseConan):
name = "boost_uuid"
version = "1.70.0"
def package_info(self):
super(BoostUuidConan, self).package_info()
... | 22.722222 | 62 | 0.667482 |
aba8b3034601aaf3683086a85e7ae701a2275d7c | 21,517 | py | Python | trimesh/collision.py | dani2112/thesis-trimesh | 99f67a7dc2e05b78e088152a9cafedaebe74de1b | [
"MIT"
] | null | null | null | trimesh/collision.py | dani2112/thesis-trimesh | 99f67a7dc2e05b78e088152a9cafedaebe74de1b | [
"MIT"
] | null | null | null | trimesh/collision.py | dani2112/thesis-trimesh | 99f67a7dc2e05b78e088152a9cafedaebe74de1b | [
"MIT"
] | null | null | null | import numpy as np
import collections
from .constants import log
_fcl_exists = True
try:
import fcl # pip install python-fcl
except BaseException:
log.warning('No FCL -- collision checking will not work')
_fcl_exists = False
class ContactData(object):
"""
Data structure for holding information... | 30.220506 | 77 | 0.551936 |
ff0e465a023ae21485d8f8630f5a9b2bf4de0ed6 | 175 | py | Python | tests/example/reflexes/example_reflex.py | jefftriplett/django-sockpuppet | eedc7f0d4b95646991d8db569e5fca61d56149e2 | [
"MIT"
] | null | null | null | tests/example/reflexes/example_reflex.py | jefftriplett/django-sockpuppet | eedc7f0d4b95646991d8db569e5fca61d56149e2 | [
"MIT"
] | null | null | null | tests/example/reflexes/example_reflex.py | jefftriplett/django-sockpuppet | eedc7f0d4b95646991d8db569e5fca61d56149e2 | [
"MIT"
] | null | null | null | from sockpuppet.reflex import Reflex
class ExampleReflex(Reflex):
def increment(self, step=1):
self.session['count'] = int(self.element.dataset['count']) + step
| 25 | 73 | 0.702857 |
b40ecf2b9ecbf85e04341d9bc16eb50500aa55bd | 27,642 | py | Python | suncasa/pygsfit/gsutils.py | binchensolar/suncasa | 55339715e791be9fc2fc555c4f4f6adf1b350b37 | [
"BSD-2-Clause"
] | 2 | 2018-02-12T09:34:23.000Z | 2019-07-16T18:25:12.000Z | suncasa/pygsfit/gsutils.py | wulinhui1/suncasa-src | 1f94aaabaf6a3911fa532648ec6676a221553436 | [
"BSD-2-Clause"
] | 26 | 2016-11-09T17:11:45.000Z | 2021-08-20T13:41:50.000Z | suncasa/pygsfit/gsutils.py | wulinhui1/suncasa-src | 1f94aaabaf6a3911fa532648ec6676a221553436 | [
"BSD-2-Clause"
] | 17 | 2016-10-27T18:35:46.000Z | 2021-08-03T05:33:57.000Z | import numpy as np
# import sys
import math
import os, sys, platform
import astropy.units as u
from sunpy import map as smap
from astropy.coordinates import SkyCoord
from suncasa.io import ndfits
from . import gstools # initialization library - located either in the current directory or in the system path
from suncasa... | 40.769912 | 145 | 0.552529 |
66eed3078e25f4e55856ae2168ea3116d3ba6fee | 937 | py | Python | stu_mgt/urls.py | lennon624/stu_mgt | c0118f9adede46db23b6a9b5329004343023f1a3 | [
"MIT"
] | null | null | null | stu_mgt/urls.py | lennon624/stu_mgt | c0118f9adede46db23b6a9b5329004343023f1a3 | [
"MIT"
] | null | null | null | stu_mgt/urls.py | lennon624/stu_mgt | c0118f9adede46db23b6a9b5329004343023f1a3 | [
"MIT"
] | null | null | null | """stu_mgt URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/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-based... | 32.310345 | 77 | 0.700107 |
b0540c94140ab0594e675572743463d8f1547fad | 3,672 | py | Python | video_game_geek/middlewares.py | albert-marrero/video-game-web-scraper | 144ae2a4ff70d892ca6bada7d4550ad0f7ae1210 | [
"MIT"
] | 1 | 2022-01-12T21:33:25.000Z | 2022-01-12T21:33:25.000Z | video_game_geek/middlewares.py | albert-marrero/video-game-web-scraper | 144ae2a4ff70d892ca6bada7d4550ad0f7ae1210 | [
"MIT"
] | null | null | null | video_game_geek/middlewares.py | albert-marrero/video-game-web-scraper | 144ae2a4ff70d892ca6bada7d4550ad0f7ae1210 | [
"MIT"
] | 1 | 2022-01-30T04:22:53.000Z | 2022-01-30T04:22:53.000Z | # Define here the models for your spider middleware
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
# useful for handling different item types with a single interface
from itemadapter import is_item, ItemAdapter
class VideoGameWebScraperSpiderMi... | 35.307692 | 78 | 0.676471 |
fbc45345b6d842c680f57f72f6da6d79305c1f2b | 268 | py | Python | src/api/pdi/application/connection/DeleteConnection/DeleteConnectionCommand.py | ahmetcagriakca/pythondataintegrator | 079b968d6c893008f02c88dbe34909a228ac1c7b | [
"MIT"
] | 1 | 2020-12-18T21:37:28.000Z | 2020-12-18T21:37:28.000Z | src/api/pdi/application/connection/DeleteConnection/DeleteConnectionCommand.py | ahmetcagriakca/pythondataintegrator | 079b968d6c893008f02c88dbe34909a228ac1c7b | [
"MIT"
] | null | null | null | src/api/pdi/application/connection/DeleteConnection/DeleteConnectionCommand.py | ahmetcagriakca/pythondataintegrator | 079b968d6c893008f02c88dbe34909a228ac1c7b | [
"MIT"
] | 1 | 2020-12-18T21:37:31.000Z | 2020-12-18T21:37:31.000Z | from dataclasses import dataclass
from pdip.cqrs import ICommand
from pdi.application.connection.DeleteConnection.DeleteConnectionRequest import DeleteConnectionRequest
@dataclass
class DeleteConnectionCommand(ICommand):
request: DeleteConnectionRequest = None
| 26.8 | 103 | 0.86194 |
f57d0970e3fc31a0a346740afba057b17cbf5748 | 610 | py | Python | AutotestFramework/core/tools/MemcacheTool.py | yangjourney/sosotest | 2e88099a829749910ca325253c9b1a2e368d21a0 | [
"MIT"
] | 422 | 2019-08-18T05:04:20.000Z | 2022-03-31T06:49:19.000Z | AutotestFramework/core/tools/MemcacheTool.py | LinSongJian1985/sosotest | 091863dee531b5726650bb63efd6f169267cbeb4 | [
"MIT"
] | 10 | 2019-10-24T09:55:38.000Z | 2021-09-29T17:28:43.000Z | AutotestFramework/core/tools/MemcacheTool.py | LinSongJian1985/sosotest | 091863dee531b5726650bb63efd6f169267cbeb4 | [
"MIT"
] | 202 | 2019-08-18T05:04:27.000Z | 2022-03-30T05:57:18.000Z | from pymemcache.client.base import Client
class MemcacheTool(object):
def __init__(self,host,port):
self.client = Client((host, port))
def set(self,key,value):
self.client.set(key, value)
def get(self,key):
return self.client.get(key)
if __name__ == '__main__':
rt = Memcache... | 23.461538 | 43 | 0.622951 |
bbc48cdde7037c4d9a2966c475a43331c1206ea5 | 9,988 | py | Python | mlp.py | AliMakiGmail/SFD-CNN-TL | 96890a086cb170334f761a825a5fdcdc51444696 | [
"MIT"
] | 27 | 2018-09-12T12:00:44.000Z | 2022-03-20T07:33:01.000Z | mlp.py | AliMakiGmail/SFD-CNN-TL | 96890a086cb170334f761a825a5fdcdc51444696 | [
"MIT"
] | 2 | 2020-01-13T16:35:50.000Z | 2020-09-07T07:10:12.000Z | mlp.py | AliMakiGmail/SFD-CNN-TL | 96890a086cb170334f761a825a5fdcdc51444696 | [
"MIT"
] | 16 | 2018-08-11T14:41:09.000Z | 2021-10-31T13:24:32.000Z | #!/usr/bin/env python
# Copyright 2019 Augusto Cunha and Axelle Pochet
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this code and
# associated documentation files, to deal in the code without restriction,
# including without limitation the rights to use, copy, modify, merge, pub... | 43.426087 | 181 | 0.680817 |
6a3c5c42a8619e69dc51d333098ea316d8a51da3 | 1,635 | py | Python | FlowerClassification.py | Akuma47/Iris-Classification | 659cc52bc04dc0cd7088e37d7d1e7fa057e3f603 | [
"MIT"
] | null | null | null | FlowerClassification.py | Akuma47/Iris-Classification | 659cc52bc04dc0cd7088e37d7d1e7fa057e3f603 | [
"MIT"
] | null | null | null | FlowerClassification.py | Akuma47/Iris-Classification | 659cc52bc04dc0cd7088e37d7d1e7fa057e3f603 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import math
dataset = pd.read_csv('iris.data')
irisData = []
labels = []
for i in range(100):
x1 = [dataset['x1'][i],dataset['x2'][i],dataset['x3'][i],dataset['x4'][i]]
irisData.append(x1)
if dataset['class'][i] == 'Iris-setosa':
labels.ap... | 15.721154 | 79 | 0.448318 |
7a58f8304e5be686b7b945a4784c4a2db50efdf2 | 2,809 | py | Python | test/20200920_fungar_cut_volume.py | CITA-cph/deep-sight | 9c60183a5bd1f3b6b930cdba8632c33f38769c0b | [
"Apache-2.0"
] | null | null | null | test/20200920_fungar_cut_volume.py | CITA-cph/deep-sight | 9c60183a5bd1f3b6b930cdba8632c33f38769c0b | [
"Apache-2.0"
] | null | null | null | test/20200920_fungar_cut_volume.py | CITA-cph/deep-sight | 9c60183a5bd1f3b6b930cdba8632c33f38769c0b | [
"Apache-2.0"
] | 1 | 2021-12-05T21:59:49.000Z | 2021-12-05T21:59:49.000Z | '''
Copyright 2020 CITA
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
distribute... | 24.215517 | 128 | 0.617658 |
23d69c71d80abb4b94fa9d383696e979417fa391 | 5,364 | py | Python | docker/pythonpath_dev/superset_config.py | ayuanty/superset | 132a8ef2cb55fa6692ea31d5c278f102d6c2886b | [
"Apache-2.0"
] | null | null | null | docker/pythonpath_dev/superset_config.py | ayuanty/superset | 132a8ef2cb55fa6692ea31d5c278f102d6c2886b | [
"Apache-2.0"
] | null | null | null | docker/pythonpath_dev/superset_config.py | ayuanty/superset | 132a8ef2cb55fa6692ea31d5c278f102d6c2886b | [
"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 u... | 33.735849 | 115 | 0.75783 |
cb87c98dfbf34eed261e716e602f8a3abad998f3 | 303 | py | Python | data/multilingual/Latn.AST/Sans_16/pdf_to_json_test_Latn.AST_Sans_16.py | antoinecarme/pdf_to_json_tests | d57a024fde862e698d916a1178f285883d7a3b2f | [
"BSD-3-Clause"
] | 1 | 2021-09-19T19:47:35.000Z | 2021-09-19T19:47:35.000Z | data/multilingual/Latn.AST/Sans_16/pdf_to_json_test_Latn.AST_Sans_16.py | antoinecarme/pdf_to_json_tests | d57a024fde862e698d916a1178f285883d7a3b2f | [
"BSD-3-Clause"
] | null | null | null | data/multilingual/Latn.AST/Sans_16/pdf_to_json_test_Latn.AST_Sans_16.py | antoinecarme/pdf_to_json_tests | d57a024fde862e698d916a1178f285883d7a3b2f | [
"BSD-3-Clause"
] | null | null | null | import pdf_to_json as p2j
import json
url = "file:data/multilingual/Latn.AST/Sans_16/udhr_Latn.AST_Sans_16.pdf"
lConverter = p2j.pdf_to_json.pdf_to_json_converter()
lConverter.mImageHashOnly = True
lDict = lConverter.convert(url)
print(json.dumps(lDict, indent=4, ensure_ascii=False, sort_keys=True))
| 30.3 | 73 | 0.811881 |
29a261e4cbabbcf991abfb59fc230e1daeea06ba | 13,489 | py | Python | lib/portal/docpreprocessor/DocParser.py | Jumpscale/jumpscale_portal8 | 3a4d56a1ba985b68fe9b525aed2486a54808332f | [
"Apache-2.0"
] | null | null | null | lib/portal/docpreprocessor/DocParser.py | Jumpscale/jumpscale_portal8 | 3a4d56a1ba985b68fe9b525aed2486a54808332f | [
"Apache-2.0"
] | 74 | 2015-12-28T16:17:20.000Z | 2021-09-08T12:28:59.000Z | lib/portal/docpreprocessor/DocParser.py | Jumpscale/jumpscale_portal8 | 3a4d56a1ba985b68fe9b525aed2486a54808332f | [
"Apache-2.0"
] | null | null | null | from JumpScale import j
import re
class DocParser():
def __init__(self):
self.__jslocation__ = "j.portal.tools.docpreprocessor"
def parseDoc(self, doc):
content = doc.content
# TODO: this is badly written can be done by some easy regex, is not performing like this
content, do... | 41.632716 | 115 | 0.485952 |
2a3d5097d8809d9989db0a2bf45a4663eb471b1d | 9,437 | py | Python | src/sage/quadratic_forms/special_values.py | defeo/sage | d8822036a9843bd4d75845024072515ede56bcb9 | [
"BSL-1.0"
] | 2 | 2018-06-30T01:37:35.000Z | 2018-06-30T01:37:39.000Z | src/sage/quadratic_forms/special_values.py | boothby/sage | 1b1e6f608d1ef8ee664bb19e991efbbc68cbd51f | [
"BSL-1.0"
] | null | null | null | src/sage/quadratic_forms/special_values.py | boothby/sage | 1b1e6f608d1ef8ee664bb19e991efbbc68cbd51f | [
"BSL-1.0"
] | null | null | null | """
Routines for computing special values of L-functions
- :func:`gamma__exact` -- Exact values of the `\Gamma` function at integers and half-integers
- :func:`zeta__exact` -- Exact values of the Riemann `\zeta` function at critical values
- :func:`quadratic_L_function__exact` -- Exact values of the Dirichlet L-functi... | 31.881757 | 184 | 0.592455 |
a74421df746d53832f4dad4571574a94ae973ce6 | 36,667 | py | Python | propertyestimator/protocols/groups.py | MSchauperl/propertyestimator | 9a67cb61498024c511f9bbe55536ac8e1a3c93be | [
"MIT"
] | null | null | null | propertyestimator/protocols/groups.py | MSchauperl/propertyestimator | 9a67cb61498024c511f9bbe55536ac8e1a3c93be | [
"MIT"
] | null | null | null | propertyestimator/protocols/groups.py | MSchauperl/propertyestimator | 9a67cb61498024c511f9bbe55536ac8e1a3c93be | [
"MIT"
] | null | null | null | """
A collection of specialized workflow protocols, which serve to group together
multiple individual protocol building blocks, and apply special behaviours when
executing them.
Such behaviours may include for example running the grouped together
protocols until certain conditions have been met.
"""
import copy
impor... | 34.954242 | 117 | 0.63804 |
c2c02fee1deb405b1da2699f487c8eb0b8d0ad5d | 44 | py | Python | aiofcm/exceptions.py | shop-loyalty/aiofcm | a15f7144389392be84ebeeaf9ba30b46055d554d | [
"Apache-2.0"
] | 2 | 2022-03-13T09:12:44.000Z | 2022-03-28T10:53:06.000Z | src/graia/amnesia/transport/exceptions.py | GraiaProject/Amnesia | d48d3084f776f788767939d73774146086358887 | [
"MIT"
] | null | null | null | src/graia/amnesia/transport/exceptions.py | GraiaProject/Amnesia | d48d3084f776f788767939d73774146086358887 | [
"MIT"
] | null | null | null | class ConnectionClosed(Exception):
pass
| 14.666667 | 34 | 0.772727 |
d840f95dcf5fd2ca5e579d84aab66dadc77648d8 | 227 | py | Python | 01 List/Problems/01_average.py | kmanadkat/leetcode-101 | 8a9db22d98692d634a497ba76c7e9f792bb1f1bc | [
"MIT"
] | null | null | null | 01 List/Problems/01_average.py | kmanadkat/leetcode-101 | 8a9db22d98692d634a497ba76c7e9f792bb1f1bc | [
"MIT"
] | null | null | null | 01 List/Problems/01_average.py | kmanadkat/leetcode-101 | 8a9db22d98692d634a497ba76c7e9f792bb1f1bc | [
"MIT"
] | 1 | 2021-09-15T11:17:36.000Z | 2021-09-15T11:17:36.000Z |
from typing import List
def findListAverage(inputList: List) -> int:
sizeOfList = len(inputList)
sumOfList = sum(inputList)
return sumOfList / sizeOfList
print(findListAverage(inputList=[0, 1, 2, 3, 4, 5, 6]))
| 18.916667 | 55 | 0.696035 |
a27121361b74b0fa7394d7fbab854bb11217e284 | 4,797 | py | Python | Utils/get_cvc_vulnerabilities.py | devarajug/CVC-TechStack | fa4e44711640335f09a5160b6f8bd10bdd0fc78f | [
"MIT"
] | null | null | null | Utils/get_cvc_vulnerabilities.py | devarajug/CVC-TechStack | fa4e44711640335f09a5160b6f8bd10bdd0fc78f | [
"MIT"
] | null | null | null | Utils/get_cvc_vulnerabilities.py | devarajug/CVC-TechStack | fa4e44711640335f09a5160b6f8bd10bdd0fc78f | [
"MIT"
] | null | null | null | from os.path import isfile
from re import search
from re import compile
from re import sub
from json import loads
import pandas as pd
class FetchCvcVulnerabilities:
def __init__(self, cvc_json_file_path, comments={}, escaped_path=[]):
self.json_file_path = cvc_json_file_path
self.comments = commen... | 59.222222 | 157 | 0.535752 |
c5db84742c4b627a7fdceb6c920589a6b7773d99 | 778 | py | Python | Week2/13. F1 driver Standing.py | HawkingLaugh/Data-Processing-Using-Python | 6c4d7e09317aee41684731d5611f2f0dab217b2b | [
"MIT"
] | null | null | null | Week2/13. F1 driver Standing.py | HawkingLaugh/Data-Processing-Using-Python | 6c4d7e09317aee41684731d5611f2f0dab217b2b | [
"MIT"
] | null | null | null | Week2/13. F1 driver Standing.py | HawkingLaugh/Data-Processing-Using-Python | 6c4d7e09317aee41684731d5611f2f0dab217b2b | [
"MIT"
] | null | null | null | import re
import requests
from bs4 import BeautifulSoup
r = requests.get('https://www.formula1.com/en/results.html/2020/drivers.html')
soup = BeautifulSoup(r.text, 'lxml')
"""
2. Retrieve the data of the athletes from the website of https://www.volleyball.world/en/vnl/2019/women/resultsandranking/round1(include TEAM... | 51.866667 | 177 | 0.760925 |
c183107730ad2c96dd7988f0265f0f9091842ecb | 514 | gyp | Python | test/win/lib-flags/ltcg.gyp | chlorm-forks/gyp | a8921fcaab1a18c8cf7e4ab09ceb940e336918ec | [
"BSD-3-Clause"
] | 2,151 | 2020-04-18T07:31:17.000Z | 2022-03-31T08:39:18.000Z | test/win/lib-flags/ltcg.gyp | chlorm-forks/gyp | a8921fcaab1a18c8cf7e4ab09ceb940e336918ec | [
"BSD-3-Clause"
] | 1,432 | 2017-06-21T04:08:48.000Z | 2020-08-25T16:21:15.000Z | test/win/lib-flags/ltcg.gyp | chlorm-forks/gyp | a8921fcaab1a18c8cf7e4ab09ceb940e336918ec | [
"BSD-3-Clause"
] | 338 | 2020-04-18T08:03:10.000Z | 2022-03-29T12:33:22.000Z | # Copyright (c) 2012 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'targets': [
{
'target_name': 'lib_answer',
'type': 'static_library',
'msvs_settings': {
'VCCLCompilerTool': {
'WholePro... | 23.363636 | 72 | 0.548638 |
7bba663aa4996a77180fff91cac5dfef967eec1d | 1,649 | py | Python | segment.py | JanusTan/segment_compute | 2fe5659262183435ec338cf7c09597949de6f338 | [
"Apache-2.0"
] | null | null | null | segment.py | JanusTan/segment_compute | 2fe5659262183435ec338cf7c09597949de6f338 | [
"Apache-2.0"
] | null | null | null | segment.py | JanusTan/segment_compute | 2fe5659262183435ec338cf7c09597949de6f338 | [
"Apache-2.0"
] | null | null | null | '''
programmer:Ryan Tan
requirement of homework:
1、segment
2、compute the width of the block
3、calculate the area of the block
'''
import numpy as np
import cv2
#function for verify if the points is in the left edge
def checkall(img2,x1,y1):
a=0
for p in img2[y1,x1+1:x1+122]:
if p == 255:
a=1
break... | 16.326733 | 70 | 0.649485 |
cee97b7ad500a634abb0bd7bbcadd0f558d2b7d5 | 3,075 | py | Python | data/p2DJ/New/program/qiskit/noisy/startQiskit_noisy142.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p2DJ/New/program/qiskit/noisy/startQiskit_noisy142.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p2DJ/New/program/qiskit/noisy/startQiskit_noisy142.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=2
# total number=10
import cirq
import qiskit
from qiskit.providers.aer import QasmSimulator
from qiskit.test.mock import FakeVigo
from qiskit import IBMQ
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute, transpile
from pprint import pprint
from ... | 27.954545 | 82 | 0.626667 |
e2568704269d9bd0aa4e53c7671085de29350477 | 1,054 | py | Python | app/geolocation/services.py | raszidzie/geolocation-api | c79ddda6770004624fcb5722e2c04dedfd79e449 | [
"MIT"
] | 1 | 2021-05-22T18:13:29.000Z | 2021-05-22T18:13:29.000Z | app/geolocation/services.py | raszidzie/geolocation-api | c79ddda6770004624fcb5722e2c04dedfd79e449 | [
"MIT"
] | null | null | null | app/geolocation/services.py | raszidzie/geolocation-api | c79ddda6770004624fcb5722e2c04dedfd79e449 | [
"MIT"
] | null | null | null | import os
import requests
from .exceptions import ExternalApiException
def get_location(ip):
url = f'http://api.ipstack.com/{ip}'
params = {'access_key': os.environ.get('ACCESS_KEY')}
try:
res = requests.get(url, params=params)
data = res.json()
return {
'ip':data['ip']... | 39.037037 | 115 | 0.650854 |
d3a684632cecf055075c89bab9fec5e30165edf9 | 4,076 | py | Python | rotation_scripts/decade_scripts/analysis_by_decade.py | greenelab/biovectors | cf298a1f581754851e69defedc4770069edd7750 | [
"BSD-2-Clause-Patent"
] | 3 | 2021-04-13T15:30:27.000Z | 2022-03-09T01:46:27.000Z | rotation_scripts/decade_scripts/analysis_by_decade.py | greenelab/biovectors | cf298a1f581754851e69defedc4770069edd7750 | [
"BSD-2-Clause-Patent"
] | 6 | 2020-10-30T11:35:18.000Z | 2021-11-12T18:17:25.000Z | rotation_scripts/decade_scripts/analysis_by_decade.py | greenelab/biovectors | cf298a1f581754851e69defedc4770069edd7750 | [
"BSD-2-Clause-Patent"
] | 2 | 2020-11-18T15:06:13.000Z | 2020-11-19T07:31:50.000Z | """
This module evaluates each decades's word2vec performance using AUROC and precision-recall.
Very similar to `analysis` module.
"""
from sklearn.metrics import (
roc_curve,
auc,
precision_recall_curve,
average_precision_score,
)
import pandas as pd
import numpy as np
import os
import matplotlib.pyplo... | 33.68595 | 91 | 0.610648 |
2036be9c14e5c125f29726e3c1bf1347ca7905f3 | 37,658 | py | Python | dcnn_train.py | Rohitmaan2012/Twitter_Sentiment_Analysis | 15a6497cdde0079a9bc6d852b42eb49f4960c3bf | [
"MIT"
] | null | null | null | dcnn_train.py | Rohitmaan2012/Twitter_Sentiment_Analysis | 15a6497cdde0079a9bc6d852b42eb49f4960c3bf | [
"MIT"
] | null | null | null | dcnn_train.py | Rohitmaan2012/Twitter_Sentiment_Analysis | 15a6497cdde0079a9bc6d852b42eb49f4960c3bf | [
"MIT"
] | null | null | null | """
CNN for sentence modeling described in paper:
A Convolutional Neural Network for Modeling Sentence
"""
import sys, os, time
import pdb
import math, random
import numpy as np
import theano
import theano.tensor as T
from util import (load_data, dump_params)
from logreg import LogisticRegression
... | 37.4334 | 146 | 0.48821 |
78e548379d89f168a5ba1a848314f6f14aac9264 | 15,526 | py | Python | project/03-asvspoof-mega/spec2-lcnn-attention-oc/06/model.py | Nijta/project-NN-Pytorch-scripts | 06a50ab072613fb60b8b8e1cea85c4aa8e75549d | [
"BSD-3-Clause"
] | null | null | null | project/03-asvspoof-mega/spec2-lcnn-attention-oc/06/model.py | Nijta/project-NN-Pytorch-scripts | 06a50ab072613fb60b8b8e1cea85c4aa8e75549d | [
"BSD-3-Clause"
] | null | null | null | project/03-asvspoof-mega/spec2-lcnn-attention-oc/06/model.py | Nijta/project-NN-Pytorch-scripts | 06a50ab072613fb60b8b8e1cea85c4aa8e75549d | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
import sand... | 34.502222 | 80 | 0.560415 |
806cc5d6465442ee3e8f7edfc8f6b1b903d79062 | 3,906 | py | Python | src/webargs/fields.py | nhoening/webargs | bb77162e317dc8e853f1f6c44b9a0dccbbac2cd4 | [
"MIT"
] | null | null | null | src/webargs/fields.py | nhoening/webargs | bb77162e317dc8e853f1f6c44b9a0dccbbac2cd4 | [
"MIT"
] | null | null | null | src/webargs/fields.py | nhoening/webargs | bb77162e317dc8e853f1f6c44b9a0dccbbac2cd4 | [
"MIT"
] | null | null | null | """Field classes.
Includes all fields from `marshmallow.fields` in addition to a custom
`Nested` field and `DelimitedList`.
All fields can optionally take a special `location` keyword argument, which
tells webargs where to parse the request argument from.
.. code-block:: python
args = {
"active": fields... | 33.965217 | 86 | 0.678955 |
f1bcd25a7e17e483560742cb285b58f58525d590 | 97 | py | Python | WD/Cwiczenia/zamianaZnakowImie.py | galursa/UWM | b7ab4a275662764a91af6c5bc79da0d98177d0ac | [
"MIT"
] | 1 | 2020-02-29T14:38:33.000Z | 2020-02-29T14:38:33.000Z | WD/Cwiczenia/zamianaZnakowImie.py | galursa/UWM | b7ab4a275662764a91af6c5bc79da0d98177d0ac | [
"MIT"
] | null | null | null | WD/Cwiczenia/zamianaZnakowImie.py | galursa/UWM | b7ab4a275662764a91af6c5bc79da0d98177d0ac | [
"MIT"
] | null | null | null |
imie="URSZULA"
nazwisko=u"GAŁĄZKA"
print(imie.capitalize())
print(nazwisko.capitalize())
| 13.857143 | 29 | 0.71134 |
307d68771a1b7d284b37614eef69c8c5dad1796f | 847 | py | Python | graphene/utils/tests/test_str_converters.py | nazarepiedady/graphene | 5475a7ad1ff982b973f4c8c2a4507020c8682e15 | [
"MIT"
] | 7,451 | 2015-10-07T07:17:19.000Z | 2022-03-30T21:56:42.000Z | graphene/utils/tests/test_str_converters.py | nazarepiedady/graphene | 5475a7ad1ff982b973f4c8c2a4507020c8682e15 | [
"MIT"
] | 1,218 | 2015-10-08T23:58:37.000Z | 2022-03-27T20:47:58.000Z | graphene/utils/tests/test_str_converters.py | nazarepiedady/graphene | 5475a7ad1ff982b973f4c8c2a4507020c8682e15 | [
"MIT"
] | 985 | 2015-10-13T03:15:30.000Z | 2022-03-29T08:30:54.000Z | # coding: utf-8
from ..str_converters import to_camel_case, to_snake_case
def test_snake_case():
assert to_snake_case("snakesOnAPlane") == "snakes_on_a_plane"
assert to_snake_case("SnakesOnAPlane") == "snakes_on_a_plane"
assert to_snake_case("SnakesOnA_Plane") == "snakes_on_a__plane"
assert to_snake_c... | 42.35 | 70 | 0.75915 |
73816cec707fd7bbaa014ca2c9bf3eed370d7f50 | 426 | py | Python | singer_sdk/helpers/_classproperty.py | meltano/sdk | 83dde4fe922f9f91bd3c57277849a2a2daa8f09a | [
"Apache-2.0"
] | 13 | 2021-06-21T17:30:32.000Z | 2021-12-06T18:45:34.000Z | singer_sdk/helpers/_classproperty.py | meltano/sdk | 83dde4fe922f9f91bd3c57277849a2a2daa8f09a | [
"Apache-2.0"
] | null | null | null | singer_sdk/helpers/_classproperty.py | meltano/sdk | 83dde4fe922f9f91bd3c57277849a2a2daa8f09a | [
"Apache-2.0"
] | null | null | null | # flake8: noqa
"""Defines the `classproperty` decorator."""
# noqa
class classproperty(property):
"""Class property decorator."""
def __get__(self, obj, objtype=None):
return super(classproperty, self).__get__(objtype)
def __set__(self, obj, value):
super(classproperty, self).__set__(t... | 22.421053 | 60 | 0.671362 |
36729353b534cb7fd230089d9fa2a3ccbfb36649 | 334 | py | Python | src/Python/09_Listy_wprowadzenie/Zad13.py | djeada/Nauka-programowania | b1eb6840c15b830acf552f0a0fc5cc692759152f | [
"MIT"
] | 3 | 2020-09-19T21:38:30.000Z | 2022-03-30T11:02:26.000Z | src/Python/09_Listy_wprowadzenie/Zad13.py | djeada/Nauka-programowania | b1eb6840c15b830acf552f0a0fc5cc692759152f | [
"MIT"
] | null | null | null | src/Python/09_Listy_wprowadzenie/Zad13.py | djeada/Nauka-programowania | b1eb6840c15b830acf552f0a0fc5cc692759152f | [
"MIT"
] | 1 | 2022-02-04T09:13:20.000Z | 2022-02-04T09:13:20.000Z | """
Znajdz brakujacy element w liscie.
Ciag arytmetyczny.
"""
# Wersja 1
def znajdz_brakujacy_element(lista):
suma_przedzialu = (len(lista) + 1) * (min(lista) + max(lista)) // 2
return suma_przedzialu - sum(lista)
# Testy poprawnosci
lista = [6, 8, 4, 10, 14, 2]
wynik = 12
assert znajdz_brakujacy_element(li... | 19.647059 | 71 | 0.688623 |
43e5c03f720c95b52709d28512dc41fcf853e240 | 408 | wsgi | Python | kraken.wsgi | peterdemartini/KrakenMaster | 2b3ed18f6dcc720e66e1ac397a3b5ee902914e58 | [
"BSD-3-Clause"
] | 1 | 2016-12-22T22:25:05.000Z | 2016-12-22T22:25:05.000Z | kraken.wsgi | peterdemartini/KrakenMaster | 2b3ed18f6dcc720e66e1ac397a3b5ee902914e58 | [
"BSD-3-Clause"
] | null | null | null | kraken.wsgi | peterdemartini/KrakenMaster | 2b3ed18f6dcc720e66e1ac397a3b5ee902914e58 | [
"BSD-3-Clause"
] | 1 | 2022-03-28T00:28:07.000Z | 2022-03-28T00:28:07.000Z | #!/usr/bin/python
import os
import subprocess
import sys
import logging
logging.basicConfig(stream=sys.stderr)
sys.path.insert(0,"/var/www/vhosts/KrakenMaster")
from kraken.app import create_app
from kraken.settings import DevConfig, ProdConfig
from kraken.database import db
if os.environ.get("KRAKEN_ENV") == 'prod':... | 24 | 49 | 0.784314 |
1019bb8db80cbd93fe89c2548591064bc3e95f34 | 3,748 | py | Python | cli/engine/InitEngine.py | lambdastack/lambdastack | 0898cf23b490aa520b75f1bcd85be56c74cf35cf | [
"Apache-2.0"
] | 6 | 2021-11-29T13:14:14.000Z | 2022-02-02T19:27:44.000Z | cli/engine/InitEngine.py | lambdastack/lambdastack | 0898cf23b490aa520b75f1bcd85be56c74cf35cf | [
"Apache-2.0"
] | 5 | 2021-11-17T13:21:58.000Z | 2021-11-22T16:31:08.000Z | cli/engine/InitEngine.py | lambdastack/lambdastack | 0898cf23b490aa520b75f1bcd85be56c74cf35cf | [
"Apache-2.0"
] | 2 | 2021-10-21T17:31:36.000Z | 2021-12-01T08:20:25.000Z | import os
from cli.helpers.Step import Step
from cli.helpers.build_io import get_build_sshkey_path, save_manifest, get_build_path
from cli.helpers.data_loader import load_all_schema_objs, types
from cli.engine.ApplyEngine import ApplyEngine
from cli.helpers.objdict_helpers import remove_value
from cli.version import V... | 42.11236 | 143 | 0.654749 |
70bf27bdd44db7bf5b332b50ff769dde5aa58a75 | 8,384 | py | Python | button_recognition.py | Jarvis-Geun/ocr-rcnn-v2 | 2762f71c0a430979378f1a10b71e33520f337fb9 | [
"MIT"
] | null | null | null | button_recognition.py | Jarvis-Geun/ocr-rcnn-v2 | 2762f71c0a430979378f1a10b71e33520f337fb9 | [
"MIT"
] | null | null | null | button_recognition.py | Jarvis-Geun/ocr-rcnn-v2 | 2762f71c0a430979378f1a10b71e33520f337fb9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import imageio
import numpy as np
import tensorflow as tf
from PIL import Image, ImageDraw, ImageFont
from utils.ops import native_crop_and_resize
from utils import visualization_utils as vis_util
import tensorflow.contrib.tensorrt as trt
charset = {'0': 0, '1': 1, '2': 2, '3': 3, '... | 39.734597 | 109 | 0.671994 |
c79b9b80eabea714b06f9a338246920acb2ad4e0 | 3,942 | py | Python | services/dserver_service.py | lastick1/rexpert | cd5908f69cf54671ffe6bb2991c24d19e8f0036d | [
"MIT"
] | 1 | 2020-07-07T09:58:57.000Z | 2020-07-07T09:58:57.000Z | services/dserver_service.py | lastick1/rexpert | cd5908f69cf54671ffe6bb2991c24d19e8f0036d | [
"MIT"
] | 42 | 2018-11-11T08:08:46.000Z | 2020-01-10T11:15:47.000Z | services/dserver_service.py | lastick1/rexpert | cd5908f69cf54671ffe6bb2991c24d19e8f0036d | [
"MIT"
] | null | null | null | "Управление игровым сервером"
from __future__ import annotations
from typing import Dict, Any
import logging
from configs import Config
from core import EventsEmitter
from rcon import DServerRcon
from model import Command, \
CommandType, \
MessageAll, \
MessageAllies, \
MessageAxis, \
MessagePriva... | 37.542857 | 90 | 0.667935 |
1cd4f8f60609405f499e79ee04ace90bb0e0f7e8 | 5,722 | py | Python | src/genie/libs/parser/iosxe/tests/ShowIsisNeighbors/cli/equal/golden_output2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 204 | 2018-06-27T00:55:27.000Z | 2022-03-06T21:12:18.000Z | src/genie/libs/parser/iosxe/tests/ShowIsisNeighbors/cli/equal/golden_output2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 468 | 2018-06-19T00:33:18.000Z | 2022-03-31T23:23:35.000Z | src/genie/libs/parser/iosxe/tests/ShowIsisNeighbors/cli/equal/golden_output2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z | expected_output = {
"isis": {
"test_0": {
"neighbors": {
"R1_xe": {
"type": {
"L2": {
"interfaces": {
"GigabitEthernet1": {
"ip_address": "1... | 39.736111 | 64 | 0.183328 |
0f3ea7400e98f79182eb44ff4cb553e493c1a290 | 8,084 | py | Python | wsgidav/dc/base_dc.py | jaredrunyon/wsgidav | 2e375551f1961380d7afd2cbcf3bef32bb98b8d7 | [
"MIT"
] | 62 | 2015-02-05T08:16:33.000Z | 2022-02-25T20:51:32.000Z | wsgidav/dc/base_dc.py | jaredrunyon/wsgidav | 2e375551f1961380d7afd2cbcf3bef32bb98b8d7 | [
"MIT"
] | 32 | 2015-01-29T09:46:18.000Z | 2022-02-15T03:27:29.000Z | wsgidav/dc/base_dc.py | jaredrunyon/wsgidav | 2e375551f1961380d7afd2cbcf3bef32bb98b8d7 | [
"MIT"
] | 59 | 2015-02-02T02:36:16.000Z | 2022-02-14T01:55:21.000Z | # -*- coding: utf-8 -*-
# (c) 2009-2020 Martin Wendt and contributors; see WsgiDAV https://github.com/mar10/wsgidav
# Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php
"""
Abstract base class of a domain controller (used by HTTPAuthenticator).
This ABC serves as base class for DomainCo... | 33.26749 | 91 | 0.64139 |
a793f46d0ce59440889ea637691349ecb7a79b0b | 55,735 | py | Python | mahjong/hand_calculating/tests/tests_yaku_calculation.py | wardenlym/mahjong | 475da6360e24e70e6e0d1deada573c842a71f261 | [
"MIT"
] | 254 | 2017-09-20T15:02:20.000Z | 2022-03-28T11:33:28.000Z | mahjong/hand_calculating/tests/tests_yaku_calculation.py | wardenlym/mahjong | 475da6360e24e70e6e0d1deada573c842a71f261 | [
"MIT"
] | 39 | 2017-09-23T14:28:36.000Z | 2022-01-06T08:41:57.000Z | mahjong/hand_calculating/tests/tests_yaku_calculation.py | wardenlym/mahjong | 475da6360e24e70e6e0d1deada573c842a71f261 | [
"MIT"
] | 38 | 2017-10-19T09:06:53.000Z | 2022-03-15T05:08:22.000Z | import unittest
from mahjong.constants import EAST, FIVE_RED_SOU, NORTH, SOUTH, WEST
from mahjong.hand_calculating.hand import HandCalculator
from mahjong.hand_calculating.hand_config import HandConfig, OptionalRules
from mahjong.hand_calculating.yaku_config import YakuConfig
from mahjong.meld import Meld
from mahjong... | 42.972244 | 120 | 0.660411 |
cb1d9cfba15fbe3abd6f326f4b1d820540d854c5 | 1,044 | py | Python | modules/math-codes/modules/statistics-and-probability/src/nyc_average-v3.py | drigols/Studies | 9c293156935b491ded24be6b511daac67fd43538 | [
"MIT"
] | 1 | 2020-09-06T22:17:19.000Z | 2020-09-06T22:17:19.000Z | modules/math-codes/modules/statistics-and-probability/src/nyc_average-v3.py | drigols/Studies | 9c293156935b491ded24be6b511daac67fd43538 | [
"MIT"
] | null | null | null | modules/math-codes/modules/statistics-and-probability/src/nyc_average-v3.py | drigols/Studies | 9c293156935b491ded24be6b511daac67fd43538 | [
"MIT"
] | null | null | null | ########################################################
# Rodrigo Leite - drigols #
# Last update: 26/09/2021 #
########################################################
def create_plot(x, y):
import matplotlib.pyplot as plt
# Display to each "x" the tempe... | 37.285714 | 99 | 0.564176 |
dc24632cbb400bc4b5153dc9f6469ef10327de7e | 2,185 | py | Python | sympy/tensor/array/expressions/array_expressions.py | suryam35/sympy | 4aa3cd6c7c689fbe4e604082fb44e2136fa4224d | [
"BSD-3-Clause"
] | null | null | null | sympy/tensor/array/expressions/array_expressions.py | suryam35/sympy | 4aa3cd6c7c689fbe4e604082fb44e2136fa4224d | [
"BSD-3-Clause"
] | null | null | null | sympy/tensor/array/expressions/array_expressions.py | suryam35/sympy | 4aa3cd6c7c689fbe4e604082fb44e2136fa4224d | [
"BSD-3-Clause"
] | null | null | null | import itertools
from sympy import Expr, ImmutableDenseNDimArray, S, Symbol
from sympy.core.sympify import _sympify
class _ArrayExpr(Expr):
pass
class ArraySymbol(_ArrayExpr):
"""
Symbol representing an array expression
"""
def __new__(cls, symbol, *shape):
if isinstance(symbol, str):
... | 25.406977 | 84 | 0.600915 |
d7fe140392ce5481d85ab4c9813ad330feb45b70 | 1,050 | py | Python | release/stubs.min/System/Windows/Controls/Primitives_parts/IRecyclingItemContainerGenerator.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/System/Windows/Controls/Primitives_parts/IRecyclingItemContainerGenerator.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/System/Windows/Controls/Primitives_parts/IRecyclingItemContainerGenerator.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | class IRecyclingItemContainerGenerator(IItemContainerGenerator):
""" Extends the System.Windows.Controls.Primitives.IItemContainerGenerator interface to reuse the UI content it generates. Classes that are responsible for generating user interface (UI) content on behalf of a host implement this interface. """
... | 36.206897 | 249 | 0.714286 |
70ebd9a173c724563941391bc64081140eba65de | 1,092 | py | Python | tigercontrol/utils/optimizers/tests/test_adam.py | MinRegret/TigerControl | b1ca0617cbb2198f9d5cb37f725f3d7accbab08f | [
"Apache-2.0"
] | 31 | 2019-11-08T06:01:54.000Z | 2021-11-20T04:50:43.000Z | tigercontrol/utils/optimizers/tests/test_adam.py | johnhallman/ctsb | b1ca0617cbb2198f9d5cb37f725f3d7accbab08f | [
"Apache-2.0"
] | 32 | 2019-06-27T15:05:04.000Z | 2019-08-07T04:23:47.000Z | tigercontrol/utils/optimizers/tests/test_adam.py | MinRegret/tigercontrol | b1ca0617cbb2198f9d5cb37f725f3d7accbab08f | [
"Apache-2.0"
] | 3 | 2020-09-30T17:06:50.000Z | 2021-04-12T22:39:34.000Z | import tigercontrol
from tigercontrol.utils.optimizers.adam import Adam
from tigercontrol.utils.optimizers.losses import mse
import matplotlib.pyplot as plt
def test_adam(show=False):
environment = tigercontrol.environment('LDS')
x = environment.reset(p=2,q=0)
controller = tigercontrol.controllers('LSTM'... | 28.736842 | 96 | 0.677656 |
8300c0efef839deac1a813a2f856985648869a86 | 632 | py | Python | DataAnalysis_FangSpider.py | Beolus/FangSpider | 4fc130085e36f8338041fef075015c3786a9ccf4 | [
"Apache-2.0"
] | 1 | 2018-04-03T07:00:14.000Z | 2018-04-03T07:00:14.000Z | DataAnalysis_FangSpider.py | Beolus/FangSpider | 4fc130085e36f8338041fef075015c3786a9ccf4 | [
"Apache-2.0"
] | null | null | null | DataAnalysis_FangSpider.py | Beolus/FangSpider | 4fc130085e36f8338041fef075015c3786a9ccf4 | [
"Apache-2.0"
] | null | null | null | #_*_coding:utf8_*_
import pymongo
import pandas as pd
import numpy as np
import matplotlib.pylab as plt
client = pymongo.MongoClient('192.168.1.123',27017)
fangdb = client['fangdb']
newfanginfo = fangdb['20171121140104']
df = pd.DataFrame(list(newfanginfo.find()))
df1 = df.loc[:,['EstateArea','RefPrice','AvePrice','H... | 20.387097 | 63 | 0.678797 |
a393db40e46cb8ee364e3b222f7489e83760175a | 1,287 | py | Python | envoy/tests/common.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | 2 | 2019-05-28T03:48:29.000Z | 2019-07-05T07:05:58.000Z | envoy/tests/common.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | 4 | 2019-07-03T02:53:19.000Z | 2019-07-10T14:52:14.000Z | envoy/tests/common.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | 1 | 2019-12-23T13:35:17.000Z | 2019-12-23T13:35:17.000Z | import os
from datadog_checks.utils.common import get_docker_hostname
try:
from functools import lru_cache
except ImportError:
from backports.functools_lru_cache import lru_cache
HERE = os.path.dirname(os.path.abspath(__file__))
FIXTURE_DIR = os.path.join(HERE, 'fixtures')
HOST = get_docker_hostname()
PORT... | 30.642857 | 117 | 0.65035 |
e114798ab808293d0633d2c2ec8c46e2d636881f | 5,993 | py | Python | remove.py | afnanhaq/political-data-builder | a79f62b31f11652c066882170d4392f86022f94b | [
"MIT"
] | null | null | null | remove.py | afnanhaq/political-data-builder | a79f62b31f11652c066882170d4392f86022f94b | [
"MIT"
] | null | null | null | remove.py | afnanhaq/political-data-builder | a79f62b31f11652c066882170d4392f86022f94b | [
"MIT"
] | 3 | 2021-02-12T18:48:16.000Z | 2021-02-13T18:47:23.000Z | # -*- coding: utf-8 -*-
"""
The class remove is used for data anonymization and dropping of columns
with over 75% NaN values. It implements privacy protection by dropping
columns containing personally identifiable information.
"""
# remove_null(df) reads in a dataset, drops columns that have
# over 75% of their valu... | 46.457364 | 74 | 0.615051 |
cb2de45b308eed70c30fec58294a7a89fb8f91a3 | 562 | py | Python | fate/logReader.py | Huangxy-Minel/Flare | 3c091567bfaedfdf0f0d41b00f3e3d501d572515 | [
"Apache-2.0"
] | 1 | 2021-11-04T10:28:09.000Z | 2021-11-04T10:28:09.000Z | fate/logReader.py | Huangxy-Minel/flare | 3c091567bfaedfdf0f0d41b00f3e3d501d572515 | [
"Apache-2.0"
] | null | null | null | fate/logReader.py | Huangxy-Minel/flare | 3c091567bfaedfdf0f0d41b00f3e3d501d572515 | [
"Apache-2.0"
] | null | null | null | import numpy as np
filepath = "/home/xinyang/fate_cluster_1.6.1/flare/fate/confs-10000/shared_dir/fate_flow_logs/202111241042473462280/guest/10000/INFO.log"
match_str = "Encrypt half_d costs: "
num_list = []
with open(filepath, 'r') as f:
for line in f.readlines():
idx = line.find(match_str)
if id... | 31.222222 | 137 | 0.606762 |
0844ae3b861d556ae03f04453ef61ff25e9ad5e0 | 1,781 | py | Python | src/commercetools/ml/client/by_project_key_request_builder.py | lime-green/commercetools-python-sdk | 63b77f6e5abe43e2b3ebbf3cdbbe00c7cf80dca6 | [
"MIT"
] | 1 | 2021-04-07T20:01:30.000Z | 2021-04-07T20:01:30.000Z | src/commercetools/ml/client/by_project_key_request_builder.py | lime-green/commercetools-python-sdk | 63b77f6e5abe43e2b3ebbf3cdbbe00c7cf80dca6 | [
"MIT"
] | null | null | null | src/commercetools/ml/client/by_project_key_request_builder.py | lime-green/commercetools-python-sdk | 63b77f6e5abe43e2b3ebbf3cdbbe00c7cf80dca6 | [
"MIT"
] | null | null | null | # Generated file, please do not change!!!
import typing
from .image_search.by_project_key_image_search_request_builder import (
ByProjectKeyImageSearchRequestBuilder,
)
from .missing_data.by_project_key_missing_data_request_builder import (
ByProjectKeyMissingDataRequestBuilder,
)
from .recommendations.by_proj... | 30.706897 | 77 | 0.729366 |
06570cdc7d959e09c31e847eb2270df7f6845782 | 635 | py | Python | backend/wallet/api/v1/urls.py | crowdbotics-apps/ledger-wallet-29295 | d96542a71685ce6d335882c10cf840355c8252f7 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/wallet/api/v1/urls.py | crowdbotics-apps/ledger-wallet-29295 | d96542a71685ce6d335882c10cf840355c8252f7 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/wallet/api/v1/urls.py | crowdbotics-apps/ledger-wallet-29295 | d96542a71685ce6d335882c10cf840355c8252f7 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from .viewsets import (
PaymentTransactionViewSet,
TaskerPaymentAccountViewSet,
TaskerWalletViewSet,
PaymentMethodViewSet,
CustomerWalletViewSet,
)
router = DefaultRouter()
router.register("customerwallet", Custo... | 30.238095 | 68 | 0.811024 |
cb4bfdb19d3fafac29848032ad0f722b749b81df | 2,090 | py | Python | scripts/artifacts/accounts_de.py | deagler4n6/ALEAPP | c25692dac34e2382d1a8d51e5fbb2a39998dc638 | [
"MIT"
] | 187 | 2020-02-22T23:35:32.000Z | 2022-03-31T13:46:24.000Z | scripts/artifacts/accounts_de.py | deagler4n6/ALEAPP | c25692dac34e2382d1a8d51e5fbb2a39998dc638 | [
"MIT"
] | 65 | 2020-02-25T18:22:47.000Z | 2022-03-27T21:41:21.000Z | scripts/artifacts/accounts_de.py | deagler4n6/ALEAPP | c25692dac34e2382d1a8d51e5fbb2a39998dc638 | [
"MIT"
] | 47 | 2020-02-24T22:33:35.000Z | 2022-03-11T05:19:42.000Z | import glob
import json
import os
import shutil
import sqlite3
from scripts.artifact_report import ArtifactHtmlReport
from scripts.ilapfuncs import logfunc, tsv, timeline, is_platform_windows, open_sqlite_db_readonly
def get_accounts_de(files_found, report_folder, seeker, wrap_text):
slash = '\\' if is_platform_... | 33.174603 | 98 | 0.647847 |
d198456c6a97cb442b9f40e4c8995f805462d089 | 4,541 | py | Python | example/algs.py | jessicagainesbmi203/example | 94aac309e2e8f217edd1d45ffde10b586db0a6a7 | [
"Apache-2.0"
] | null | null | null | example/algs.py | jessicagainesbmi203/example | 94aac309e2e8f217edd1d45ffde10b586db0a6a7 | [
"Apache-2.0"
] | null | null | null | example/algs.py | jessicagainesbmi203/example | 94aac309e2e8f217edd1d45ffde10b586db0a6a7 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import collections
def is_sorted(x):
for i in range(0,x.size-1,1):
if x[i] > x[i+1]:
return False
return True
def pointless_sort(x):
"""
This function always returns the same values to show how testing
works, check out the `test/test_alg.py` file to see.
... | 34.664122 | 84 | 0.600749 |
930e111fb51336c0b115c993aa563cec891027b6 | 219 | py | Python | src/lesson3/samples/keyInputBasic.py | saji-ryu/pyxel-study | b10ef781a86cfea4dad28efee89f851195189560 | [
"MIT"
] | null | null | null | src/lesson3/samples/keyInputBasic.py | saji-ryu/pyxel-study | b10ef781a86cfea4dad28efee89f851195189560 | [
"MIT"
] | null | null | null | src/lesson3/samples/keyInputBasic.py | saji-ryu/pyxel-study | b10ef781a86cfea4dad28efee89f851195189560 | [
"MIT"
] | null | null | null | import pyxel
pyxel.init(200, 200)
a = 0
def update():
global a
if pyxel.btn(pyxel.KEY_SPACE):
a += 1
def draw():
global a
pyxel.cls(7)
pyxel.circ(a, a, 10, 0)
pyxel.run(update, draw)
| 10.428571 | 34 | 0.570776 |
afeb2199b2290f87e1cab148227a5318b676c4a8 | 1,199 | py | Python | test/test_html_ssrf_detection_result.py | Cloudmersive/Cloudmersive.APIClient.Python.Validate | 894a3f578c3860db41b3eed179dcc52e02f565a0 | [
"Apache-2.0"
] | 3 | 2018-06-23T21:37:21.000Z | 2020-04-20T23:07:36.000Z | test/test_html_ssrf_detection_result.py | Cloudmersive/Cloudmersive.APIClient.Python.Validate | 894a3f578c3860db41b3eed179dcc52e02f565a0 | [
"Apache-2.0"
] | 1 | 2019-02-04T17:03:35.000Z | 2019-03-02T20:16:52.000Z | test/test_html_ssrf_detection_result.py | Cloudmersive/Cloudmersive.APIClient.Python.Validate | 894a3f578c3860db41b3eed179dcc52e02f565a0 | [
"Apache-2.0"
] | 2 | 2019-03-21T15:54:15.000Z | 2020-05-27T17:30:43.000Z | # coding: utf-8
"""
validateapi
The validation APIs help you validate data. Check if an E-mail address is real. Check if a domain is real. Check up on an IP address, and even where it is located. All this and much more is available in the validation API. # noqa: E501
OpenAPI spec version: v1
Ge... | 29.243902 | 240 | 0.748957 |
e062c94bad94c0d995da1a508a5a451bccbd0c25 | 2,086 | py | Python | tests/tests/correctness/EPLAnalytics/Streaming_Calculations/FFT/fft_cor_010/run.py | rpeach-sag/apama-industry-analytics-kit | a3f6039915501d41251b6f7ec41b0cb8111baf7b | [
"Apache-2.0"
] | 3 | 2019-09-02T18:21:22.000Z | 2020-04-17T16:34:57.000Z | tests/tests/correctness/EPLAnalytics/Streaming_Calculations/FFT/fft_cor_010/run.py | rpeach-sag/apama-industry-analytics-kit | a3f6039915501d41251b6f7ec41b0cb8111baf7b | [
"Apache-2.0"
] | null | null | null | tests/tests/correctness/EPLAnalytics/Streaming_Calculations/FFT/fft_cor_010/run.py | rpeach-sag/apama-industry-analytics-kit | a3f6039915501d41251b6f7ec41b0cb8111baf7b | [
"Apache-2.0"
] | null | null | null | # $Copyright (c) 2015 Software AG, Darmstadt, Germany and/or Software AG USA Inc., Reston, VA, USA, and/or Terracotta Inc., San Francisco, CA, USA, and/or Software AG (Canada) Inc., Cambridge, Ontario, Canada, and/or, Software AG (UK) Ltd., Derby, United Kingdom, and/or Software A.G. (Israel) Ltd., Or-Yehuda, Israel an... | 48.511628 | 343 | 0.704698 |
26d1e4e17ad7b065abe2a53d7352b9aff2efd025 | 10,590 | py | Python | zero/common/train.py | Wesley-Jzy/ColossalAI-Benchmark | 0b8b737297316c898c9b3ed6d7eaebaee4e3692c | [
"Apache-2.0"
] | 21 | 2022-01-18T07:37:55.000Z | 2022-03-27T12:54:13.000Z | zero/common/train.py | Wesley-Jzy/ColossalAI-Benchmark | 0b8b737297316c898c9b3ed6d7eaebaee4e3692c | [
"Apache-2.0"
] | 12 | 2022-01-18T06:09:57.000Z | 2022-03-23T07:48:02.000Z | zero/common/train.py | Wesley-Jzy/ColossalAI-Benchmark | 0b8b737297316c898c9b3ed6d7eaebaee4e3692c | [
"Apache-2.0"
] | 21 | 2022-01-18T05:52:55.000Z | 2022-03-25T06:05:57.000Z | import math
import time
import torch
from torch.distributed import all_reduce, get_rank, get_world_size
from tqdm import tqdm
from zero.common.utils import CONFIG, AsyncMemoryMonitor, print_log, get_tflops
def _train(epoch, rank, world_size, train_dataloader, model, criterion, optimizer, lr_scheduler, sca... | 36.770833 | 119 | 0.560246 |
bbc1d6e0a55056cbe4b8ffb3c3cc4cc9eb80fe3c | 7,572 | py | Python | homemonitoring/homemonitoring/solaredge.py | BigCrunsh/home-monitoring | c82e02462cbd040e5814464b926321bdb84ed446 | [
"MIT"
] | 2 | 2020-06-25T20:13:33.000Z | 2020-08-06T09:08:26.000Z | homemonitoring/homemonitoring/solaredge.py | BigCrunsh/home-monitoring | c82e02462cbd040e5814464b926321bdb84ed446 | [
"MIT"
] | 1 | 2021-06-17T09:50:33.000Z | 2021-06-17T09:50:33.000Z | homemonitoring/homemonitoring/solaredge.py | BigCrunsh/home-monitoring | c82e02462cbd040e5814464b926321bdb84ed446 | [
"MIT"
] | null | null | null | """The module contains a wrapper of the Solaredge API with additional functionality."""
import solaredge
import datetime
import pytz
import pandas as pd
import numpy as np
class Solaredge(solaredge.Solaredge):
"""Solaredge is a wrapper around the Solaredge API with additional functionality.
The Solaredge ... | 36.57971 | 100 | 0.623217 |
2ab675eae82058adddc28ece463f504e9b3fd706 | 6,211 | py | Python | sugaroid/brain/convert.py | vardaan-raj/sugaroid | d0476fb9c44a73fee2e0de45162f2b1ac86452aa | [
"MIT"
] | 4 | 2020-09-28T13:52:40.000Z | 2020-10-30T15:24:50.000Z | sugaroid/brain/convert.py | sreyasaju/sugaroid | d58e06fb664daa16fda1bf23cc73068efcd5634c | [
"MIT"
] | null | null | null | sugaroid/brain/convert.py | sreyasaju/sugaroid | d58e06fb664daa16fda1bf23cc73068efcd5634c | [
"MIT"
] | null | null | null | """
MIT License
Sugaroid Artificial Intelligence
Chatbot Core
Copyright (c) 2020-2021 Srevin Saju
Copyright (c) 2021 The Sugaroid Project
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 r... | 39.310127 | 124 | 0.5545 |
749c2f169a498db20130c5e07b8f6e4474e468e0 | 12,087 | py | Python | karolos/agents/sac.py | tmdt-buw/karolos | 33039b9a318b4d7ab4b399e2a8737655eccbc80b | [
"MIT"
] | 12 | 2021-01-18T15:00:23.000Z | 2022-03-04T13:42:14.000Z | karolos/agents/sac.py | tmdt-buw/karolos | 33039b9a318b4d7ab4b399e2a8737655eccbc80b | [
"MIT"
] | 4 | 2021-03-12T15:53:34.000Z | 2021-11-18T08:38:48.000Z | karolos/agents/sac.py | tmdt-buw/karolos | 33039b9a318b4d7ab4b399e2a8737655eccbc80b | [
"MIT"
] | null | null | null | """
https://spinningup.openai.com/en/latest/algorithms/sac.html
"""
import os
import os.path as osp
import numpy as np
import torch
import torch.nn as nn
from torch.distributions import MultivariateNormal
from . import Agent
from .utils.nn import NeuralNetwork, Clamp, init_xavier_uniform
class Policy(NeuralNetwor... | 40.424749 | 109 | 0.627037 |
467fd0839130985051b26afada913ce8eff80d11 | 1,082 | py | Python | experiment/tools/test_measure.py | Shitaibin/tweets-spam-clustering | 52148c63dd1d1ad97ea7595503e3172ca9268a75 | [
"MIT"
] | null | null | null | experiment/tools/test_measure.py | Shitaibin/tweets-spam-clustering | 52148c63dd1d1ad97ea7595503e3172ca9268a75 | [
"MIT"
] | null | null | null | experiment/tools/test_measure.py | Shitaibin/tweets-spam-clustering | 52148c63dd1d1ad97ea7595503e3172ca9268a75 | [
"MIT"
] | null | null | null | from unittest import TestCase
from measure import cos_similarity
class MeasureTestCase(TestCase):
"""
Unittest for tools.py
"""
##################################################
# Unittest for Visulize fucntions
def test_cos_similarity(self):
"""
Unittest for function Co... | 31.823529 | 77 | 0.511091 |
b8d4fd9cd0b7e8d4b845e72743a3adaa7f7dc2c3 | 313 | py | Python | pkgs/nltk-3.2-py27_0/lib/python2.7/site-packages/nltk/test/gluesemantics_malt_fixt.py | wangyum/anaconda | 6e5a0dbead3327661d73a61e85414cf92aa52be6 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | pkgs/nltk-3.2-py27_0/lib/python2.7/site-packages/nltk/test/gluesemantics_malt_fixt.py | wangyum/anaconda | 6e5a0dbead3327661d73a61e85414cf92aa52be6 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | pkgs/nltk-3.2-py27_0/lib/python2.7/site-packages/nltk/test/gluesemantics_malt_fixt.py | wangyum/anaconda | 6e5a0dbead3327661d73a61e85414cf92aa52be6 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import
def setup_module(module):
from nose import SkipTest
from nltk.parse.malt import MaltParser
try:
depparser = MaltParser('maltparser-1.7.2')
except LookupError:
raise SkipTest("MaltParser is not available")
| 26.083333 | 54 | 0.670927 |
179e68939b02779715c289f7af4d34c763cefff6 | 1,012 | py | Python | django_boilerplate/user/migrations/0003_rightssupport.py | eugen1j/django-boilerplate | 952df758141acded74dc762ccfd6d0eb7de5bf43 | [
"MIT"
] | null | null | null | django_boilerplate/user/migrations/0003_rightssupport.py | eugen1j/django-boilerplate | 952df758141acded74dc762ccfd6d0eb7de5bf43 | [
"MIT"
] | null | null | null | django_boilerplate/user/migrations/0003_rightssupport.py | eugen1j/django-boilerplate | 952df758141acded74dc762ccfd6d0eb7de5bf43 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-04-08 12:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("user", "0002_auto_20210329_0713"),
]
operations = [
migrations.CreateModel(
name="RightsSupport",
fields=[
... | 26.631579 | 53 | 0.400198 |
45dd63b5923f8ab25a55d2afa3aa5014fddaad7d | 7,468 | py | Python | pennylane/templates/layers/particle_conserving_u2.py | aglitoiu/pennylane | fd99be754d55bbb919aadbbbdff70e40fbe3bcbf | [
"Apache-2.0"
] | null | null | null | pennylane/templates/layers/particle_conserving_u2.py | aglitoiu/pennylane | fd99be754d55bbb919aadbbbdff70e40fbe3bcbf | [
"Apache-2.0"
] | null | null | null | pennylane/templates/layers/particle_conserving_u2.py | aglitoiu/pennylane | fd99be754d55bbb919aadbbbdff70e40fbe3bcbf | [
"Apache-2.0"
] | null | null | null | # Copyright 2018-2021 Xanadu Quantum Technologies 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... | 36.607843 | 105 | 0.641537 |
0d2c790ad119c6f5f84e0d70ef9be1411d800cf4 | 6,232 | py | Python | lectures/nonlinear_equations/nonlinear_algorithms.py | carolinalvarez/ose-course-scientific-computing | 4b816fa81320c88fc5f35b203f0541e0a1a00939 | [
"MIT"
] | null | null | null | lectures/nonlinear_equations/nonlinear_algorithms.py | carolinalvarez/ose-course-scientific-computing | 4b816fa81320c88fc5f35b203f0541e0a1a00939 | [
"MIT"
] | null | null | null | lectures/nonlinear_equations/nonlinear_algorithms.py | carolinalvarez/ose-course-scientific-computing | 4b816fa81320c88fc5f35b203f0541e0a1a00939 | [
"MIT"
] | null | null | null | """Algorithms for lecture on nonlinear equations.
The materials follow Miranda and Fackler (2004, :cite:`miranda2004applied`) (Chapter 3).
The python code draws on Romero-Aguilar (2020, :cite:`CompEcon`).
"""
from functools import partial
import numpy as np
from scipy import optimize
def bisect(f, a, b, tolerance=1... | 26.519149 | 100 | 0.59018 |
be70cd7ccae184bc5cc83e6cd43ddc535c9219a7 | 6,096 | py | Python | src/crawler/test_crawler.py | gbarkway/hypnospace-sitemap | fce9ed296971fd409bdd4d6da5101a7f7f6afcc9 | [
"MIT"
] | 4 | 2021-04-18T16:01:54.000Z | 2022-02-02T17:23:01.000Z | src/crawler/test_crawler.py | gbarkway/hypnospace-sitemap | fce9ed296971fd409bdd4d6da5101a7f7f6afcc9 | [
"MIT"
] | null | null | null | src/crawler/test_crawler.py | gbarkway/hypnospace-sitemap | fce9ed296971fd409bdd4d6da5101a7f7f6afcc9 | [
"MIT"
] | null | null | null | import unittest
import crawler
from pathlib import Path
class TestCrawler(unittest.TestCase):
def test_readHypnospace(self):
hs = crawler.readHypnospace('./test_data')
self.assertEqual(len(hs.captures), 1,
'Hypnospace should have expected # captures')
self.assertEq... | 42.929577 | 79 | 0.64042 |
704759eedb76612148bda5a7c5d4b877cdb52443 | 2,661 | py | Python | data/p4VQE/R4/benchmark/startQiskit_QC695.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p4VQE/R4/benchmark/startQiskit_QC695.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p4VQE/R4/benchmark/startQiskit_QC695.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=3
# total number=14
import numpy as np
from qiskit import QuantumCircuit, execute, Aer, QuantumRegister, ClassicalRegister, transpile, BasicAer, IBMQ
import networkx as nx
from qiskit.visualization import plot_histogram
from typing import *
from pprint import pprint
from math import log2
from collectio... | 28.010526 | 118 | 0.637354 |
87d02725f50cb901eb3cee04d59a902f776f6909 | 3,423 | py | Python | shared/sentry/external/crashpad/util/mach/mig_gen.py | Eeems-Org/oxide | d3bfa47e60bf311feb7768234dfe95a15adeb9da | [
"MIT"
] | 18 | 2022-01-11T17:24:50.000Z | 2022-03-30T04:35:25.000Z | shared/sentry/external/crashpad/util/mach/mig_gen.py | Eeems-Org/oxide | d3bfa47e60bf311feb7768234dfe95a15adeb9da | [
"MIT"
] | 21 | 2022-01-07T19:20:04.000Z | 2022-03-24T14:32:28.000Z | shared/sentry/external/crashpad/util/mach/mig_gen.py | Eeems-Org/oxide | d3bfa47e60bf311feb7768234dfe95a15adeb9da | [
"MIT"
] | 2 | 2022-01-15T16:45:34.000Z | 2022-03-01T22:37:48.000Z | #!/usr/bin/env python3
# Copyright 2019 The Crashpad Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... | 32.6 | 81 | 0.62752 |
6b2c5bb85d0c5f15a8750916042d66240cd89dfa | 1,921 | py | Python | examples/background_tasks.py | CoderLeague/research_aiohttp | 01113d3edb09388e25fd4a0af73fb7cc01e4aa74 | [
"Apache-2.0"
] | 1 | 2019-05-09T08:59:46.000Z | 2019-05-09T08:59:46.000Z | examples/background_tasks.py | snjypl/aiohttp | 1473f2722b2a804269d4fdbff4880f9ff9da0c3f | [
"Apache-2.0"
] | null | null | null | examples/background_tasks.py | snjypl/aiohttp | 1473f2722b2a804269d4fdbff4880f9ff9da0c3f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
"""Example of aiohttp.web.Application.on_startup signal handler"""
import asyncio
import aioredis
from aiohttp.web import Application, WebSocketResponse, run_app
async def websocket_handler(request):
ws = WebSocketResponse()
await ws.prepare(request)
request.app['websockets'].appen... | 28.671642 | 77 | 0.665279 |
18fdd813f66637068fc484a9d2cf7ba0f5c590c2 | 105,442 | py | Python | lib/galaxy/tools/__init__.py | igorhollaender/sirv_dashboard | 85aec60b80ef6f561d89398e3da5963d3d0f2aa4 | [
"CC-BY-3.0"
] | 2 | 2018-10-14T16:42:39.000Z | 2018-10-14T16:42:41.000Z | lib/galaxy/tools/__init__.py | igorhollaender/OBSOLETE_sirv_dashboard | 85aec60b80ef6f561d89398e3da5963d3d0f2aa4 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/tools/__init__.py | igorhollaender/OBSOLETE_sirv_dashboard | 85aec60b80ef6f561d89398e3da5963d3d0f2aa4 | [
"CC-BY-3.0"
] | null | null | null | """
Classes encapsulating galaxy tools and tool configuration.
"""
import glob
import json
import logging
import os
import re
import tarfile
import tempfile
import threading
import urllib
from datetime import datetime
from cgi import FieldStorage
from xml.etree import ElementTree
from mako.template import Template
fr... | 47.862914 | 249 | 0.602986 |
029abe629472399ca12593136eee3c058f346634 | 1,988 | py | Python | speecht/vocabulary.py | Mehdi-Habibi/MySpeechT | 00b07f4fff8b8b0cee1e01fbd07eb9032143eda9 | [
"Apache-2.0"
] | 154 | 2016-11-21T19:31:40.000Z | 2020-07-30T12:18:56.000Z | speecht/vocabulary.py | sporiyano/speechT | e68dc77e3e0c62be6822963c521750dfcc4272f1 | [
"Apache-2.0"
] | 23 | 2017-04-21T15:26:09.000Z | 2019-06-24T13:11:13.000Z | speecht/vocabulary.py | sporiyano/speechT | e68dc77e3e0c62be6822963c521750dfcc4272f1 | [
"Apache-2.0"
] | 37 | 2016-11-03T09:37:34.000Z | 2020-03-02T07:41:17.000Z | # Copyright 2016 Louis Kirsch. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 24.243902 | 96 | 0.694165 |
e42b9fc9668fde06e771f70503dc05ab143406a4 | 2,927 | py | Python | tests/test_MulticlassEvaluator.py | AlexeyVatolin/sentence-transformers | 084b80cd351b135a1d48211ec4f4aea37f01a641 | [
"Apache-2.0"
] | null | null | null | tests/test_MulticlassEvaluator.py | AlexeyVatolin/sentence-transformers | 084b80cd351b135a1d48211ec4f4aea37f01a641 | [
"Apache-2.0"
] | null | null | null | tests/test_MulticlassEvaluator.py | AlexeyVatolin/sentence-transformers | 084b80cd351b135a1d48211ec4f4aea37f01a641 | [
"Apache-2.0"
] | null | null | null | """
Tests the correct computation of evaluation scores from BinaryClassificationEvaluator
"""
from sentence_transformers import SentenceTransformer, evaluation, models, losses, InputExample
import unittest
import torch
from torch.utils.data import DataLoader
from sklearn.metrics import f1_score, accuracy_score
import n... | 50.465517 | 127 | 0.689443 |
c671a638a900f177d5c4e011b79cb992537acbb9 | 11,997 | py | Python | reefbot_msgs/src/reefbot_msgs/msg/_ImageRegion.py | MRSD2018/reefbot-1 | a595ca718d0cda277726894a3105815cef000475 | [
"MIT"
] | null | null | null | reefbot_msgs/src/reefbot_msgs/msg/_ImageRegion.py | MRSD2018/reefbot-1 | a595ca718d0cda277726894a3105815cef000475 | [
"MIT"
] | null | null | null | reefbot_msgs/src/reefbot_msgs/msg/_ImageRegion.py | MRSD2018/reefbot-1 | a595ca718d0cda277726894a3105815cef000475 | [
"MIT"
] | null | null | null | """autogenerated by genpy from reefbot_msgs/ImageRegion.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
import std_msgs.msg
import sensor_msgs.msg
class ImageRegion(genpy.Message):
_md5sum = "65cc1a85d539c02ff4e503921c8e033b"
_type = "reefbot_msg... | 37.726415 | 248 | 0.645411 |
494a05a78966b975a6f0acabab2821e49ff1ebb3 | 22,669 | py | Python | model_zoo/research/cv/centernet_det/src/utils.py | Vincent34/mindspore | a39a60878a46e7e9cb02db788c0bca478f2fa6e5 | [
"Apache-2.0"
] | 2 | 2021-07-08T13:10:42.000Z | 2021-11-08T02:48:57.000Z | model_zoo/research/cv/centernet_det/src/utils.py | peixinhou/mindspore | fcb2ec2779b753e95c762cf292b23bd81d1f561b | [
"Apache-2.0"
] | null | null | null | model_zoo/research/cv/centernet_det/src/utils.py | peixinhou/mindspore | fcb2ec2779b753e95c762cf292b23bd81d1f561b | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 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... | 35.309969 | 118 | 0.603776 |
11da27cd9925e5d76f06ff68d377bb095e8cd8b2 | 1,188 | py | Python | workflow_array_ephys/pipeline.py | dimitri-yatsenko/workflow-ephys | ea89aa92da527960a6993245e53881bffd40e123 | [
"MIT"
] | 1 | 2021-07-28T07:54:40.000Z | 2021-07-28T07:54:40.000Z | workflow_array_ephys/pipeline.py | dimitri-yatsenko/workflow-ephys | ea89aa92da527960a6993245e53881bffd40e123 | [
"MIT"
] | 28 | 2021-03-24T16:22:03.000Z | 2022-03-25T16:02:05.000Z | workflow_array_ephys/pipeline.py | dimitri-yatsenko/workflow-ephys | ea89aa92da527960a6993245e53881bffd40e123 | [
"MIT"
] | 6 | 2021-04-27T23:15:36.000Z | 2022-01-24T21:29:43.000Z | import datajoint as dj
from element_animal import subject
from element_lab import lab
from element_session import session
from element_array_ephys import probe, ephys
from element_animal.subject import Subject
from element_lab.lab import Source, Lab, Protocol, User, Project
from element_session.session import Session
... | 27.627907 | 80 | 0.66835 |
29361a6123f58daf5a9f423360f8dfb90ffa384a | 497 | py | Python | nomi/migrations/0121_auto_20170805_1213.py | TheDjangoBoys/Gymkhana-Nominations | 6ce13fb3a21fe91630e0c8fdaf597e61c87f2d06 | [
"MIT"
] | null | null | null | nomi/migrations/0121_auto_20170805_1213.py | TheDjangoBoys/Gymkhana-Nominations | 6ce13fb3a21fe91630e0c8fdaf597e61c87f2d06 | [
"MIT"
] | null | null | null | nomi/migrations/0121_auto_20170805_1213.py | TheDjangoBoys/Gymkhana-Nominations | 6ce13fb3a21fe91630e0c8fdaf597e61c87f2d06 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-08-05 12:13
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('nomi', '0120_auto_20170805_1210'),
]
operations = [
migrations.RemoveField(
... | 20.708333 | 48 | 0.581489 |
5b2a64cca7083722a08fe3a607628e9bc3e5f5e5 | 1,002 | py | Python | aqt/jax_legacy/jax/wmt_mlperf/hparams_configs/experimental/small_model_4bit_weights_and_fixed_acts.py | ychzhang/aqt | 54427ea65120af980b8f2540e94ebe2db1dd3ccd | [
"Apache-2.0"
] | 2 | 2022-01-13T06:34:00.000Z | 2022-03-30T17:08:55.000Z | aqt/jax_legacy/jax/wmt_mlperf/hparams_configs/experimental/small_model_4bit_weights_and_fixed_acts.py | ychzhang/aqt | 54427ea65120af980b8f2540e94ebe2db1dd3ccd | [
"Apache-2.0"
] | 3 | 2022-03-30T19:48:22.000Z | 2022-03-31T20:47:30.000Z | aqt/jax_legacy/jax/wmt_mlperf/hparams_configs/experimental/small_model_4bit_weights_and_fixed_acts.py | ychzhang/aqt | 54427ea65120af980b8f2540e94ebe2db1dd3ccd | [
"Apache-2.0"
] | 3 | 2022-01-13T00:10:17.000Z | 2022-03-29T17:31:16.000Z | # Copyright 2022 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, ... | 37.111111 | 91 | 0.788423 |
367626f40298ba8214c2c80e13657abbcf7d77cf | 599 | py | Python | reachme/complaint/migrations/0009_alter_complaint_subcategory_servant_role.py | akshita-k06/Socialshout | ef45c7f4a2d73f613760f59d507554465ba19264 | [
"MIT"
] | 1 | 2021-06-28T08:20:25.000Z | 2021-06-28T08:20:25.000Z | reachme/complaint/migrations/0009_alter_complaint_subcategory_servant_role.py | akshita-k06/SocialShout | ef45c7f4a2d73f613760f59d507554465ba19264 | [
"MIT"
] | null | null | null | reachme/complaint/migrations/0009_alter_complaint_subcategory_servant_role.py | akshita-k06/SocialShout | ef45c7f4a2d73f613760f59d507554465ba19264 | [
"MIT"
] | 1 | 2021-06-27T14:45:59.000Z | 2021-06-27T14:45:59.000Z | # Generated by Django 3.2 on 2021-06-14 05:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('complaint', '0008_alter_complaint_subcategory_servant_role'),
]
operations = [
migrations.AlterField(
model_name='complaint_subcat... | 31.526316 | 220 | 0.656093 |
4fa93542a574917045fd4e0f8e634b7399f863b5 | 1,907 | py | Python | service-rpc/src/pypi/setup.py | Genius-pig/incubator-iotdb | 67c0b62dbd7d1423a3ee2bf13683815a5bdb3d4a | [
"Apache-2.0"
] | 1 | 2019-12-23T14:27:56.000Z | 2019-12-23T14:27:56.000Z | service-rpc/src/pypi/setup.py | rongbo-j/incubator-iotdb | 96fd6d70e35f8bbbcea1a0fc2d48989dd61c5379 | [
"Apache-2.0"
] | null | null | null | service-rpc/src/pypi/setup.py | rongbo-j/incubator-iotdb | 96fd6d70e35f8bbbcea1a0fc2d48989dd61c5379 | [
"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... | 34.053571 | 71 | 0.698479 |
9291a3c63408da6afb0946c54331f76850050bfa | 512 | py | Python | views/charts/ClosenessCentralityChart.py | alvarofpp/ufrn-imd1155-brazil-air-traffic-network-analysis | 41b9b24a238110c17c09e2a4e2df542c6bcbce1b | [
"MIT"
] | null | null | null | views/charts/ClosenessCentralityChart.py | alvarofpp/ufrn-imd1155-brazil-air-traffic-network-analysis | 41b9b24a238110c17c09e2a4e2df542c6bcbce1b | [
"MIT"
] | null | null | null | views/charts/ClosenessCentralityChart.py | alvarofpp/ufrn-imd1155-brazil-air-traffic-network-analysis | 41b9b24a238110c17c09e2a4e2df542c6bcbce1b | [
"MIT"
] | null | null | null | import networkx as nx
from typing import Dict
from .BokehChart import BokehChart
class ClosenessCentralityChart(BokehChart):
_title = 'Closeness Centrality'
_attribute = 'closeness_centrality'
def __init__(self, **kwargs):
kwargs.update({
'tooltips': [
('closeness cent... | 25.6 | 63 | 0.630859 |
b2f448445656385de2eaf744dfdc6dff0eb9055f | 1,566 | py | Python | Assignment/Week6/LinkMySQL.py | wcsodw1/Wehelp-assignments | 1225e4d8614cb89b5ed4ea8ad58411a52cacc2f8 | [
"MIT"
] | null | null | null | Assignment/Week6/LinkMySQL.py | wcsodw1/Wehelp-assignments | 1225e4d8614cb89b5ed4ea8ad58411a52cacc2f8 | [
"MIT"
] | null | null | null | Assignment/Week6/LinkMySQL.py | wcsodw1/Wehelp-assignments | 1225e4d8614cb89b5ed4ea8ad58411a52cacc2f8 | [
"MIT"
] | null | null | null |
# python LinkMySQL.py
import pymysql
# 打开数据库连接
db = pymysql.connect(host='localhost',
user='root',
password='root',
database='website')
# 使用 cursor() 方法创建一个游标对象 cursor
cursor = db.cursor()
# 使用 execute() 方法执行 SQL，如果表存在则删除
cursor.execute("DROP TABLE IF ... | 21.452055 | 64 | 0.5894 |
e67436a1651546e9c261f400a2a86b3225fdcdad | 8,930 | py | Python | fies/fiesutils.py | nespinoza/ceres | e5426067bc5855b0f690e4a51b7d6fd2a48471c6 | [
"MIT"
] | null | null | null | fies/fiesutils.py | nespinoza/ceres | e5426067bc5855b0f690e4a51b7d6fd2a48471c6 | [
"MIT"
] | null | null | null | fies/fiesutils.py | nespinoza/ceres | e5426067bc5855b0f690e4a51b7d6fd2a48471c6 | [
"MIT"
] | null | null | null | import pyfits
import numpy as np
import scipy
import copy
import glob
import os
import matplotlib.pyplot as plt
import sys
from pylab import *
base = "../"
sys.path.append(base+"utils/GLOBALutils")
import GLOBALutils
def get_thar_offsets(lines_thar, order_dir='wavcals/', pref='order_', suf='.iwdat', delt_or=10, del_... | 28.259494 | 256 | 0.619709 |
9f0ddebbd166f9815a9445e766f834f3cc461f15 | 4,396 | py | Python | examples/getArch.py | kamnsv/impacket | 83a581e4ba0cb3b7ba5dfa3018b87f9bf1a2cb58 | [
"Apache-1.1"
] | 6,612 | 2018-10-10T22:45:11.000Z | 2022-03-31T18:13:01.000Z | examples/getArch.py | anno5750/impacket | ed7082cd0bc0d951f6eefb0a98c4c1360fe1a8a2 | [
"Apache-1.1"
] | 703 | 2018-10-11T11:38:30.000Z | 2022-03-31T14:59:22.000Z | examples/getArch.py | anno5750/impacket | ed7082cd0bc0d951f6eefb0a98c4c1360fe1a8a2 | [
"Apache-1.1"
] | 2,172 | 2018-10-11T10:51:26.000Z | 2022-03-31T04:45:49.000Z | #!/usr/bin/env python
# Impacket - Collection of Python classes for working with network protocols.
#
# SECUREAUTH LABS. Copyright (C) 2020 SecureAuth Corporation. All rights reserved.
#
# This software is provided under a slightly modified version
# of the Apache Software License. See the accompanying LICENSE file
# f... | 37.254237 | 137 | 0.648544 |
821a9f891dacf7a50c44e62891cfc79598d34d3b | 13,350 | py | Python | tchannel/tchannel.py | islavov/tchannel-python | ca3da9b4e0367d2e00078b158ab9e0bb4f328619 | [
"MIT"
] | 98 | 2015-07-10T23:42:11.000Z | 2021-11-08T11:21:02.000Z | tchannel/tchannel.py | islavov/tchannel-python | ca3da9b4e0367d2e00078b158ab9e0bb4f328619 | [
"MIT"
] | 445 | 2015-07-10T23:58:02.000Z | 2021-08-24T14:58:39.000Z | tchannel/tchannel.py | islavov/tchannel-python | ca3da9b4e0367d2e00078b158ab9e0bb4f328619 | [
"MIT"
] | 43 | 2015-07-22T19:14:57.000Z | 2021-09-14T12:12:38.000Z | # Copyright (c) 2016 Uber Technologies, Inc.
#
# 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, publ... | 34.056122 | 79 | 0.625243 |
1ec417d31df43492b706f9cf0a742f874e8822eb | 653 | bzl | Python | rules/jvm/private/label.bzl | tjarvstrand/rules_scala | ff423d8bdd0e5383f8f2c048ffd7704bb51a91bf | [
"Apache-2.0"
] | 53 | 2019-01-07T23:15:32.000Z | 2021-09-24T00:27:40.000Z | rules/jvm/private/label.bzl | tjarvstrand/rules_scala | ff423d8bdd0e5383f8f2c048ffd7704bb51a91bf | [
"Apache-2.0"
] | 101 | 2019-01-05T04:52:40.000Z | 2021-01-29T16:48:58.000Z | rules/jvm/private/label.bzl | tjarvstrand/rules_scala | ff423d8bdd0e5383f8f2c048ffd7704bb51a91bf | [
"Apache-2.0"
] | 24 | 2019-01-23T07:54:28.000Z | 2022-02-10T19:42:07.000Z | load("@rules_scala_annex//rules:providers.bzl", "LabeledJars")
def labeled_jars_implementation(target, ctx):
if JavaInfo not in target:
return []
deps_labeled_jars = [dep[LabeledJars] for dep in getattr(ctx.rule.attr, "deps", []) if LabeledJars in dep]
java_info = target[JavaInfo]
return [
... | 36.277778 | 127 | 0.623277 |
f955058a256de3e402aec4fa22a9f344a9ac4b04 | 11,961 | py | Python | tests/v1/test_actions.py | tfuji384/atodeyomu | 8a5e61a593d099726131e060a33b8801056bc286 | [
"MIT"
] | null | null | null | tests/v1/test_actions.py | tfuji384/atodeyomu | 8a5e61a593d099726131e060a33b8801056bc286 | [
"MIT"
] | null | null | null | tests/v1/test_actions.py | tfuji384/atodeyomu | 8a5e61a593d099726131e060a33b8801056bc286 | [
"MIT"
] | null | null | null | import json
from http import HTTPStatus
from unittest import mock
from fastapi.testclient import TestClient
from moto import mock_dynamodb2
from app import app, models
from tests.factories import get_object
client = TestClient(app)
def test_redirect_to_view_submission():
payload = {
'type': 'view_submi... | 30.357868 | 112 | 0.484491 |
c1508cc2a1134d35a365925048d460eef69170ca | 4,369 | py | Python | code/cmt/python/tests/glm_test.py | lucastheis/cmt | 39cf7a341279a3700ca30909a2b254ae86d0c273 | [
"MIT"
] | 33 | 2015-06-15T16:52:23.000Z | 2019-11-26T19:49:36.000Z | code/cmt/python/tests/glm_test.py | lucastheis/cmt | 39cf7a341279a3700ca30909a2b254ae86d0c273 | [
"MIT"
] | 35 | 2015-03-17T09:27:32.000Z | 2022-01-13T00:44:05.000Z | code/cmt/python/tests/glm_test.py | lucastheis/cmt | 39cf7a341279a3700ca30909a2b254ae86d0c273 | [
"MIT"
] | 17 | 2015-01-20T10:39:59.000Z | 2020-12-16T10:24:13.000Z | import sys
import unittest
from pickle import dump, load
from tempfile import mkstemp
from numpy import *
from numpy import max
from numpy.linalg import inv
from numpy.random import randn, rand
from cmt.models import Bernoulli, GLM
from cmt.nonlinear import LogisticFunction, BlobNonlinearity
class Tests(unittest.Test... | 22.755208 | 89 | 0.651637 |
b0a045f5932d32e2af57aa53fe2d0e0efd11f087 | 935 | py | Python | tests/tools/perf/kvtable/test_dict2kvtable.py | michalbiesek/rpma | 100bed7bebc57ba1164f9b786acd4ea9ba0b688e | [
"BSD-3-Clause"
] | 83 | 2020-02-18T13:19:10.000Z | 2022-03-29T08:22:28.000Z | tests/tools/perf/kvtable/test_dict2kvtable.py | michalbiesek/rpma | 100bed7bebc57ba1164f9b786acd4ea9ba0b688e | [
"BSD-3-Clause"
] | 603 | 2020-02-13T10:45:28.000Z | 2022-03-31T11:13:17.000Z | tests/tools/perf/kvtable/test_dict2kvtable.py | michalbiesek/rpma | 100bed7bebc57ba1164f9b786acd4ea9ba0b688e | [
"BSD-3-Clause"
] | 51 | 2020-02-13T09:11:15.000Z | 2022-03-29T08:22:31.000Z | #!/usr/bin/env python3
#
# SPDX-License-Identifier: BSD-3-Clause
# Copyright 2021, Intel Corporation
#
"""test_dict2kvtable.py -- lib.kvtable.dict2kvtable() tests"""
import lib.kvtable
HEADER = '<tr><th>Item</th><th>Description</th></tr></thead><tbody>'
START = '<table><thead>'
STOP = '</tbody></table>'
EMPTY = STA... | 25.972222 | 69 | 0.612834 |
4593aa22a82f7cf0a2cdf1f486867cbe7d2f68a3 | 556 | py | Python | gryphon/data_service/pollers/orderbook/bitstamp_btc_eur_orderbook_poller.py | qiquanzhijia/gryphon | 7bb2c646e638212bd1352feb1b5d21536a5b918d | [
"Apache-2.0"
] | 1,109 | 2019-06-20T19:23:27.000Z | 2022-03-20T14:03:43.000Z | gryphon/data_service/pollers/orderbook/bitstamp_btc_eur_orderbook_poller.py | qiquanzhijia/gryphon | 7bb2c646e638212bd1352feb1b5d21536a5b918d | [
"Apache-2.0"
] | 63 | 2019-06-21T05:36:17.000Z | 2021-05-26T21:08:15.000Z | gryphon/data_service/pollers/orderbook/bitstamp_btc_eur_orderbook_poller.py | qiquanzhijia/gryphon | 7bb2c646e638212bd1352feb1b5d21536a5b918d | [
"Apache-2.0"
] | 181 | 2019-06-20T19:42:05.000Z | 2022-03-21T13:05:13.000Z | from gryphon.data_service.pollers.orderbook.orderbook_poller import OrderbookPoller
class BitstampBTCEUROrderbook(OrderbookPoller):
def __init__(self):
self.exchange_name = u'BITSTAMP_BTC_EUR'
self.url = 'https://www.bitstamp.net/api/v2/order_book/btceur/'
self.poll_time = 1
# API res... | 29.263158 | 83 | 0.638489 |
13a870a656ab218338034f8183320b874dfe75f3 | 7,358 | py | Python | nets/triplet_loss_all.py | avagait/gaitcopy | 2fee760156b289ef12f19fb366fb62cf535c305e | [
"MIT"
] | 1 | 2022-01-25T17:32:47.000Z | 2022-01-25T17:32:47.000Z | nets/triplet_loss_all.py | avagait/gaitcopy | 2fee760156b289ef12f19fb366fb62cf535c305e | [
"MIT"
] | null | null | null | nets/triplet_loss_all.py | avagait/gaitcopy | 2fee760156b289ef12f19fb366fb62cf535c305e | [
"MIT"
] | null | null | null | import tensorflow as tf
from tensorflow_addons.utils.types import FloatTensorLike, TensorLike
from typeguard import typechecked
from typing import Optional
def _pairwise_distances(embeddings, squared=False):
"""Compute the 2D matrix of distances between all the embeddings.
Args:
embeddings: tensor of s... | 38.726316 | 168 | 0.718266 |
f1eaf6337ea04e32b587e8948581b4d279792607 | 471 | py | Python | reinforceflow/__init__.py | ktk1012/reinforceflow | 88d426a5ce0480a8a0bf8f28f573582e950ebe15 | [
"MIT"
] | 12 | 2017-07-16T12:13:25.000Z | 2022-03-08T04:45:16.000Z | reinforceflow/__init__.py | ktk1012/reinforceflow | 88d426a5ce0480a8a0bf8f28f573582e950ebe15 | [
"MIT"
] | null | null | null | reinforceflow/__init__.py | ktk1012/reinforceflow | 88d426a5ce0480a8a0bf8f28f573582e950ebe15 | [
"MIT"
] | 4 | 2017-07-25T13:28:56.000Z | 2018-12-01T11:05:09.000Z | from __future__ import absolute_import
from reinforceflow.config import version as __version__
from reinforceflow.config import get_random_seed
from reinforceflow.config import set_random_seed
from reinforceflow.config import logger
from reinforceflow import config
from reinforceflow import agents
from reinforceflow i... | 27.705882 | 55 | 0.874735 |
6f219aeb01ea519373b2d340f40c1eec75858a63 | 1,242 | py | Python | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/examples/circuitplayground_temperature_neopixels.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 75 | 2017-08-17T18:00:28.000Z | 2022-03-30T00:37:20.000Z | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/examples/circuitplayground_temperature_neopixels.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 65 | 2017-08-02T02:06:54.000Z | 2022-03-21T22:45:08.000Z | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/examples/circuitplayground_temperature_neopixels.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 64 | 2017-09-15T21:05:50.000Z | 2022-02-10T06:20:45.000Z | # SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
# SPDX-License-Identifier: MIT
"""
This example use the temperature sensor on the Circuit Playground, located next to the picture of
the thermometer on the board. Try warming up the board to watch the number of NeoPixels lit up
increase, or cooling it down... | 31.846154 | 97 | 0.716586 |
5bf21623b2fd650d7ac57816200a2d165266d337 | 422 | py | Python | teraserver/python/tests/opentera/db/models/test_TeraUserGroup.py | introlab/opentera | bfc4de672c9de40b7c9a659be2138731e7ee4e94 | [
"Apache-2.0"
] | 10 | 2020-03-16T14:46:06.000Z | 2022-02-11T16:07:38.000Z | teraserver/python/tests/opentera/db/models/test_TeraUserGroup.py | introlab/opentera | bfc4de672c9de40b7c9a659be2138731e7ee4e94 | [
"Apache-2.0"
] | 114 | 2019-09-16T13:02:50.000Z | 2022-03-22T19:17:36.000Z | teraserver/python/tests/opentera/db/models/test_TeraUserGroup.py | introlab/opentera | bfc4de672c9de40b7c9a659be2138731e7ee4e94 | [
"Apache-2.0"
] | null | null | null | import unittest
import os
from modules.DatabaseModule.DBManager import DBManager
from opentera.config.ConfigManager import ConfigManager
from tests.opentera.db.models.BaseModelsTest import BaseModelsTest
class TeraUserGroupTest(BaseModelsTest):
filename = os.path.join(os.path.dirname(__file__), 'TeraUserGroupTe... | 22.210526 | 78 | 0.758294 |
febf7fbc7ecaef4776bcedcb2d3c0564a2c9b3d8 | 3,461 | py | Python | crseek/annotators.py | DamLabResources/crisprtree | 13d8870dc1d3bba6c58ef23772c1a2504e817198 | [
"MIT"
] | 5 | 2018-11-11T08:57:42.000Z | 2021-07-27T21:31:00.000Z | crseek/annotators.py | DamLabResources/crisprtree | 13d8870dc1d3bba6c58ef23772c1a2504e817198 | [
"MIT"
] | 1 | 2019-01-08T15:17:07.000Z | 2019-01-09T08:13:01.000Z | crseek/annotators.py | DamLabResources/crseek | 13d8870dc1d3bba6c58ef23772c1a2504e817198 | [
"MIT"
] | null | null | null | import pandas as pd
from Bio import Alphabet
from Bio.Seq import Seq, reverse_complement
from Bio.SeqFeature import SeqFeature, FeatureLocation
from Bio.SeqRecord import SeqRecord
from crseek import exceptions
from crseek.estimators import SequenceBase
from crseek import utils
def annotate_grna_binding(spacer, seq_r... | 32.345794 | 92 | 0.645767 |
571aa4a263581d9cdbb9d3d32ade91bccc9465eb | 173 | py | Python | iamheadless_publisher/apps.py | plain-ie/iamheadless_publisher | 8a7bcee202c3dae6909452d87936f4d9f2d2668e | [
"MIT"
] | null | null | null | iamheadless_publisher/apps.py | plain-ie/iamheadless_publisher | 8a7bcee202c3dae6909452d87936f4d9f2d2668e | [
"MIT"
] | null | null | null | iamheadless_publisher/apps.py | plain-ie/iamheadless_publisher | 8a7bcee202c3dae6909452d87936f4d9f2d2668e | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class IamheadlessPublisherConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'iamheadless_publisher'
| 24.714286 | 56 | 0.797688 |
b775e76527b76b4f14eabe487616fcd891e8a359 | 1,004 | py | Python | main.py | yadhu621/zerossl-app | a20a9820cc0afb0b57968bfa8c13033623710db7 | [
"MIT"
] | null | null | null | main.py | yadhu621/zerossl-app | a20a9820cc0afb0b57968bfa8c13033623710db7 | [
"MIT"
] | 1 | 2022-03-09T01:58:17.000Z | 2022-03-09T01:58:17.000Z | main.py | yadhu621/zerossl-app | a20a9820cc0afb0b57968bfa8c13033623710db7 | [
"MIT"
] | null | null | null | import requests
API_KEY = "96903f1cf7f7d5e8493cf56d52be4c31"
BASE_URL = "https://api.zerossl.com"
# api.zerossl.com/example_endpoint?access_key=EXAMPLE_KEY
URL = BASE_URL + '/certificates?access_key=' + API_KEY
DOMAIN = "amyra.co.uk"
# List certificates
resp = requests.get(URL)
resp_dict = resp.json()
results = resp... | 25.74359 | 60 | 0.688247 |
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