xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

40ceddedb6eaf8c2406ca195dc49b3ad000c971a

417

py

Python

src/blacksmith/service/_sync/base.py

mardiros/blacksmith

c86a870da04b0d916f243cb51f8861529284337d

[ "BSD-3-Clause" ]

15

2022-01-16T15:23:23.000Z

2022-01-20T21:42:53.000Z

src/blacksmith/service/_sync/base.py

mardiros/blacksmith

c86a870da04b0d916f243cb51f8861529284337d

[ "BSD-3-Clause" ]

9

2022-01-11T19:42:42.000Z

2022-01-26T20:24:23.000Z

src/blacksmith/service/_sync/base.py

mardiros/blacksmith

c86a870da04b0d916f243cb51f8861529284337d

[ "BSD-3-Clause" ]

null

from typing import Optional from blacksmith.domain.typing import SyncMiddleware from blacksmith.typing import Proxies class SyncAbstractTransport(SyncMiddleware): verify_certificate: bool proxies: Optional[Proxies] def __init__( self, verify_certificate: bool = True, proxies: Optional[Proxies] = None ): self.verify_certificate = verify_certificate self.proxies = proxies

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null

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1

0

2

40d998b95d36ea3b60c75bb2d30aae4f2366834c

5,056

py

Python

gadfly/DLispShort.py

moibenko/enstore

6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9

[ "Intel", "Unlicense" ]

4

2021-10-17T11:17:59.000Z

2022-02-28T16:58:40.000Z

gadfly/DLispShort.py

moibenko/enstore

6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9

[ "Intel", "Unlicense" ]

17

2021-10-05T21:44:06.000Z

2022-03-31T16:58:40.000Z

gadfly/DLispShort.py

moibenko/enstore

6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9

[ "Intel", "Unlicense" ]

8

2021-09-02T18:55:49.000Z

2022-03-09T21:05:28.000Z

# Grammar generation # for lisp lists with strings, ints, vars, print, and setq # set this variable to regenerate the grammar on each load REGENERATEONLOAD = 1 import string GRAMMARSTRING =""" Value :: ## indicates Value is the root nonterminal for the grammar @R SetqRule :: Value >> ( setq var Value ) @R ListRule :: Value >> ( ListTail @R TailFull :: ListTail >> Value ListTail @R TailEmpty :: ListTail >> ) @R Varrule :: Value >> var @R Intrule :: Value >> int @R Strrule :: Value >> str @R PrintRule :: Value >> ( print Value ) """ COMPILEDFILENAME = "TESTLispG.py" MARSHALLEDFILENAME = "TESTLispG.mar" LISPCOMMENTREGEX = ";.*" INTREGEX = "["+string.digits+"]+" STRREGEX = '"[^\n"]*"' VARREGEX = "["+string.letters+"]["+string.letters+string.digits+"]*" ### declare interpretation functions and regex's for terminals def intInterp( str ): return string.atoi(str) def stripQuotes( str ): return str[1:len(str)-1] def echo(string): return string def DeclareTerminals(Grammar): Grammar.Addterm("int", INTREGEX, intInterp) Grammar.Addterm("str", STRREGEX, stripQuotes) Grammar.Addterm("var", VARREGEX, echo) ### declare the rule reduction interpretation functions. def EchoValue( list, Context ): return list[0] def VarValue( list, Context ): varName = list[0] if Context.has_key(varName): return Context[varName] else: raise NameError, "no such lisp variable in context "+varName def NilTail( list, Context ): return [] def AddToList( list, Context ): return [ list[0] ] + list[1] def MakeList( list, Context ): return list[1] def DoSetq( list, Context): Context[ list[2] ] = list[3] return list[3] def DoPrint( list, Context ): print list[2] return list[2] def BindRules(Grammar): Grammar.Bind( "Intrule", EchoValue ) Grammar.Bind( "Strrule", EchoValue ) Grammar.Bind( "Varrule", VarValue ) Grammar.Bind( "TailEmpty", NilTail ) Grammar.Bind( "TailFull", AddToList ) Grammar.Bind( "ListRule", MakeList ) Grammar.Bind( "SetqRule", DoSetq ) Grammar.Bind( "PrintRule", DoPrint ) # This function generates the grammar and dumps it to a file. def GrammarBuild(): import kjParseBuild LispG = kjParseBuild.NullCGrammar() LispG.SetCaseSensitivity(0) # grammar is not case sensitive for keywords DeclareTerminals(LispG) LispG.Keywords("setq print") LispG.punct("().") LispG.Nonterms("Value ListTail") LispG.comments([LISPCOMMENTREGEX]) LispG.Declarerules(GRAMMARSTRING) LispG.Compile() print "dumping as python to "+COMPILEDFILENAME outfile = open(COMPILEDFILENAME, "w") LispG.Reconstruct("LispG",outfile,"GRAMMAR") outfile.close() print "dumping as binary to "+MARSHALLEDFILENAME outfile = open(MARSHALLEDFILENAME, "w") LispG.MarshalDump(outfile) outfile.close() BindRules(LispG) return LispG # this function initializes the compiled grammar from the generated file. def LoadLispG(): import TESTLispG # reload to make sure we get the most recent version! # (only needed when debugging the grammar). reload(TESTLispG) LispG = TESTLispG.GRAMMAR() DeclareTerminals(LispG) BindRules(LispG) return LispG def unMarshalLispG(): import kjParser infile = open(MARSHALLEDFILENAME, "r") LispG = kjParser.UnMarshalGram(infile) infile.close() DeclareTerminals(LispG) BindRules(LispG) return LispG ########## test the grammar generation if REGENERATEONLOAD: print "(re)generating the LispG grammar in file TESTLispG.py" Dummy = GrammarBuild() print "(re)generation done." print "loading grammar as python" LispG = LoadLispG() ### declare an initial context, and do some tests. Context = { 'x':3 } test1 = LispG.DoParse1( '()', Context) test2 = LispG.DoParse1( '(123)', Context) test3 = LispG.DoParse1( '(x)', Context) test4 = LispG.DoParse1( '" a string "', Context) test5 = LispG.DoParse1( '(setq y (1 2 3) )', Context ) test6 = LispG.DoParse1( '(SeTq x ("a string" "another" 0))', Context ) test7str = """ ; this is a lisp comment (setq abc (("a" x) ("b" (setq d 12)) ("c" y) ) ; another lisp comment ) """ test7 = LispG.DoParse1( test7str, Context) test8 = LispG.DoParse1( '(print (1 x d))', Context) print "unmarshalling the grammar" LispG2 = unMarshalLispG() ### declare an initial context, and do some tests. Context = { 'x':3 } test1 = LispG2.DoParse1( '()', Context) test2 = LispG2.DoParse1( '(123)', Context) test3 = LispG2.DoParse1( '(x)', Context) test4 = LispG2.DoParse1( '" a string "', Context) test5 = LispG2.DoParse1( '(setq y (1 2 3) )', Context ) test6 = LispG2.DoParse1( '(SeTq x ("a string" "another" 0))', Context ) test7str = """ ; this is a lisp comment (setq abc (("a" x) ("b" (setq d 12)) ("c" y) ) ; another lisp comment ) """ test7 = LispG2.DoParse1( test7str, Context) test8 = LispG2.DoParse1( '(print (1 x d))', Context)

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0

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40da08b92dbe7d3474b8baf7327355d57a38e211

1,058

py

Python

azure-devops/azext_devops/dev/team/_help.py

vijayraavi/azure-devops-cli-extension

88f1420c5815cb09bea15b050f4c553e0f326dad

[ "MIT" ]

null

azure-devops/azext_devops/dev/team/_help.py

vijayraavi/azure-devops-cli-extension

88f1420c5815cb09bea15b050f4c553e0f326dad

[ "MIT" ]

37

2020-04-27T07:45:19.000Z

2021-04-05T07:27:15.000Z

azure-devops/azext_devops/dev/team/_help.py

vijayraavi/azure-devops-cli-extension

88f1420c5815cb09bea15b050f4c553e0f326dad

[ "MIT" ]

null

# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- from knack.help_files import helps def load_team_help(): helps['devops'] = """ type: group short-summary: Manage Azure DevOps organization level operations. long-summary: | Related Groups az pipelines: Manage Azure Pipelines az boards: Manage Azure Boards az repos: Manage Azure Repos az artifacts: Manage Azure Artifacts """ helps['devops project'] = """ type: group short-summary: Manage team projects. """ helps['devops service-endpoint'] = """ type: group short-summary: Manage service endpoints/service connections """ helps['devops team'] = """ type: group short-summary: Manage teams """

30.228571

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1

0

2

40df91a2a749f70d99be12938590c75c4ce5537e

2,130

py

Python

cortaswamp/authentication/migrations/0001_initial.py

parthakonda/cortaswamp-backend

5e6875cbe994931cd747ac0d614250e3a6649500

[ "MIT" ]

null

cortaswamp/authentication/migrations/0001_initial.py

parthakonda/cortaswamp-backend

5e6875cbe994931cd747ac0d614250e3a6649500

[ "MIT" ]

null

cortaswamp/authentication/migrations/0001_initial.py

parthakonda/cortaswamp-backend

5e6875cbe994931cd747ac0d614250e3a6649500

[ "MIT" ]

null

# Generated by Django 2.2.2 on 2019-06-09 08:16 import authentication.models from django.db import migrations, models import uuid class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='User', fields=[ ('password', models.CharField(max_length=128, verbose_name='password')), ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')), ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)), ('first_name', models.CharField(help_text='First Name of user', max_length=200, null=True)), ('last_name', models.CharField(help_text='Last Name of user', max_length=200, null=True)), ('username', models.CharField(help_text='Username for the user', max_length=200, unique=True)), ('email', models.EmailField(help_text='Email of the user', max_length=200, unique=True)), ('login_attempts', models.IntegerField(default=0, help_text='To track no of invalid login attempts')), ], options={ 'db_table': 'user', }, managers=[ ('objects', authentication.models.UserAccountManager()), ], ), migrations.CreateModel( name='ForgotPassword', fields=[ ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)), ('email', models.EmailField(help_text='Email of the user', max_length=200)), ('valid_upto', models.DateTimeField(help_text='DateTime valid upto')), ('expired', models.BooleanField(default=False, help_text='If True - Link can not be used, False - Link can be used')), ('created_on', models.DateTimeField(auto_now_add=True, help_text='Reset link creation date')), ], options={ 'db_table': 'forgot_password', }, ), ]

43.469388

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2,130

5.353712

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null

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null

0

1

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2

40effc952d41cb046df3a5dd039168c9870fb391

248

py

Python

spotcrew_backend/venues/api/filters.py

dominpn/spotcrew

1c48746189b78c1b370ea93d43968781155d4708

[ "MIT" ]

1

2020-03-17T17:11:18.000Z

spotcrew_backend/venues/api/filters.py

dominpn/spotcrew

1c48746189b78c1b370ea93d43968781155d4708

[ "MIT" ]

3

2020-02-12T00:16:12.000Z

2021-06-10T21:28:43.000Z

spotcrew_backend/venues/api/filters.py

dominpn/spotcrew

1c48746189b78c1b370ea93d43968781155d4708

[ "MIT" ]

1

2020-03-17T21:30:26.000Z

from django_filters import rest_framework as filters from venues.models import Venue class VenueFilter(filters.FilterSet): name = filters.CharFilter(lookup_expr='icontains') class Meta: model = Venue fields = ['name', ]

20.666667

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false

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0

1

0

null

0

null

0

1

0

2

dc048eea5d1a0dd71e80d037a3ffccff463c2b51

334

py

Python

blog/views.py

atikabdullah/News_blog

e71dea89411fe19a4d3d31f04d45ada395c65d94

[ "MIT" ]

null

blog/views.py

atikabdullah/News_blog

e71dea89411fe19a4d3d31f04d45ada395c65d94

[ "MIT" ]

null

blog/views.py

atikabdullah/News_blog

e71dea89411fe19a4d3d31f04d45ada395c65d94

[ "MIT" ]

null

from django.views.generic import ListView, DetailView from .models import Post class BlogListView(ListView): model = Post context_object_name = 'posts' template_name = 'blog/blog_list.html' class BlogDetailView(DetailView): model = Post context_object_name = 'post' template_name = 'blog/blog_detail.html'

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null

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null

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1

0

2

dc0c35a5522bf20c19f6f4b282eb753d756345e6

156

py

Python

dbookbee/test/example.py

cloudylan/dbooklib

fe93421bf8937e141ec0aa127acddbe7600f5257

[ "Apache-2.0" ]

null

dbookbee/test/example.py

cloudylan/dbooklib

fe93421bf8937e141ec0aa127acddbe7600f5257

[ "Apache-2.0" ]

null

dbookbee/test/example.py

cloudylan/dbooklib

fe93421bf8937e141ec0aa127acddbe7600f5257

[ "Apache-2.0" ]

null

from mobi import Mobi import pprint book = Mobi("test/CharlesDarwin.mobi") book.parse() for record in book: print(record) pprint.pprint(book.config)

14.181818

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null

0

null

0

1

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2

904ec2940e1f65bb25aa3addb0151641590c11be

244

py

Python

examples/testing/test_add.py

abhiabhi94/learn-python

448211b4b9fa828f076618624b1ff00144adfd9f

[ "MIT" ]

null

examples/testing/test_add.py

abhiabhi94/learn-python

448211b4b9fa828f076618624b1ff00144adfd9f

[ "MIT" ]

1

2021-06-20T23:14:59.000Z

2021-06-23T23:23:15.000Z

examples/testing/test_add.py

abhiabhi94/learn-python

448211b4b9fa828f076618624b1ff00144adfd9f

[ "MIT" ]

null

import unittest import unittest.mock from add import add class TestAdd(unittest.TestCase): def test_nums(self): self.assertEqual(add(1, 3), 4) def test_num_and_string(self): self.assertRaises(TypeError, add, 1, 'a')

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null

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1

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1

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2

905b5381e1739a27121047a3ef30a74b256f9593

235

py

Python

airbox/__init__.py

lewisjared/airbox

56bfdeb3e81bac47c80fbf249d9ead31c94a2139

[ "MIT" ]

null

airbox/__init__.py

lewisjared/airbox

56bfdeb3e81bac47c80fbf249d9ead31c94a2139

[ "MIT" ]

null

airbox/__init__.py

lewisjared/airbox

56bfdeb3e81bac47c80fbf249d9ead31c94a2139

[ "MIT" ]

null

import matplotlib # Only use core pdf fonts to save size matplotlib.rcParams['pdf.use14corefonts'] = True matplotlib.rcParams['legend.fontsize'] = 5 __version__ = '1.0.2' from .configstore import ConfigStore config = ConfigStore()

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235

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null

0

1

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2

906508b96e57731420e2c190ff9aab3b89b31cec

3,594

py

Python

vkbottle/bot/events/__init__.py

croogg/vkbottle

7355c2ef89d302410c8e05be162ba71e5f040990

[ "MIT" ]

null

vkbottle/bot/events/__init__.py

croogg/vkbottle

7355c2ef89d302410c8e05be162ba71e5f040990

[ "MIT" ]

null

vkbottle/bot/events/__init__.py

croogg/vkbottle

7355c2ef89d302410c8e05be162ba71e5f040990

[ "MIT" ]

2

2020-05-10T11:48:25.000Z

2021-12-02T09:22:54.000Z

""" MIT License Copyright (c) 2019 Arseniy Timonik 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, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ """ VKBOTTLE EVENTS TYPES """ from ...utils import Logger, make_priority_path, dict_of_dicts_merge from ...notifications import add_undefined from .events import OnMessage, OnMessageChat, OnMessageBoth class Events: def __init__(self, logger: Logger = Logger(True), use_regex: bool = True): """ Make decorator processors (dictionaries with functions) :param logger: Logging object :param use_regex: More comfortable with regex, but if speed is main priority... fixme RU - не доделал это.. """ # Collections self.use_regex = use_regex # Processors self.processor_message_regex = {} self.processor_message_chat_regex = {} self.undefined_message_func = (lambda *args: logger.warn(add_undefined)) self.events = {} self.chat_action_types = {} # Decorators self.message = OnMessage(self) self.message_chat = OnMessageChat(self) self.message_both = OnMessageBoth(self) def merge_processors(self): """ Merge message decorators with message-both decorators. Using deepcopy and MutableMapping to merge dictionaries own priorities todo RU - исправить эту неприятную жижу """ self.processor_message_regex = dict_of_dicts_merge(self.message.processor, self.message_both.processor_message) self.processor_message_chat_regex = dict_of_dicts_merge(self.message_chat.processor, self.message_both.processor_chat) def chat_action(self, type_: str): """ Special express processor of chat actions (https://vk.com/dev/objects/message - action object) :param type_: action name """ def decorator(func): self.chat_action_types[type_] = {'call': func} return func return decorator def message_undefined(self): """ If private message is not in message processor this single function will be caused """ def decorator(func): self.undefined_message_func = func return func return decorator def event(self, name: str): """ Event decorator. Needed for events processing. For example: @bot.on.event('on_group_join') :param name: Event name, find this in VK API Docs """ def decorator(func): self.chat_action_types[name] = {'call': func} return func return decorator

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null

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906722fe5d4405c861e48bef2cfba2132f326c38

426

py

Python

beeline/internal.py

mariokostelac/beeline-python

32a30f22f35ea585ac167997a4732e5f20d72d7a

[ "Apache-2.0" ]

null

beeline/internal.py

mariokostelac/beeline-python

32a30f22f35ea585ac167997a4732e5f20d72d7a

[ "Apache-2.0" ]

null

beeline/internal.py

mariokostelac/beeline-python

32a30f22f35ea585ac167997a4732e5f20d72d7a

[ "Apache-2.0" ]

null

import beeline # these are mostly convenience methods for safely calling beeline methods # even if the beeline hasn't been initialized def send_event(): bl = beeline.get_beeline() if bl: return bl.send_event() def send_all(): bl = beeline.get_beeline() if bl: return bl.send_all() def log(msg, *args, **kwargs): bl = beeline.get_beeline() if bl: bl.log(msg, *args, **kwargs)

22.421053

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null

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90719615cb678876e1e7001dbd98295f053cd2d2

297

py

Python

Python_Aulas_3,6+/04_Dados_Primitivos.py

PASSINP/Python_3-Django

0257ce9aada1d63d7912ed9a60be5515c5100028

[ "MIT" ]

1

2021-01-04T12:48:47.000Z

Python_Aulas_3,6+/04_Dados_Primitivos.py

PASSINP/Python_3-Django

0257ce9aada1d63d7912ed9a60be5515c5100028

[ "MIT" ]

null

Python_Aulas_3,6+/04_Dados_Primitivos.py

PASSINP/Python_3-Django

0257ce9aada1d63d7912ed9a60be5515c5100028

[ "MIT" ]

null

""" Tipos de dados str - string - "Texto" ,'Texto' int - inteiro - 10, 20 -45 float - numero com ponto - 0.2 -3.14 8000.1 bool - booleano - True/False """ # Utilizando a função type é possivel ver o tipo(classe) de um valor print(type('Luiz')) print(type(10)) print(type(3.14)) print(type(True))

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null

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1

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90723e8c4410c192ca93198eab900fcc4790903f

2,609

py

Python

lib/aquilon/aqdb/model/model.py

ned21/aquilon

6562ea0f224cda33b72a6f7664f48d65f96bd41a

[ "Apache-2.0" ]

7

2015-07-31T05:57:30.000Z

2021-09-07T15:18:56.000Z

lib/aquilon/aqdb/model/model.py

ned21/aquilon

6562ea0f224cda33b72a6f7664f48d65f96bd41a

[ "Apache-2.0" ]

115

2015-03-03T13:11:46.000Z

2021-09-20T12:42:24.000Z

lib/aquilon/aqdb/model/model.py

ned21/aquilon

6562ea0f224cda33b72a6f7664f48d65f96bd41a

[ "Apache-2.0" ]

13

2015-03-03T11:17:59.000Z

2021-09-09T09:16:41.000Z

# -*- cpy-indent-level: 4; indent-tabs-mode: nil -*- # ex: set expandtab softtabstop=4 shiftwidth=4: # # Copyright (C) 2008,2009,2010,2011,2012,2013,2014 Contributor # # 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 License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ basic construct of model = vendor name + product name """ from datetime import datetime from sqlalchemy import (Integer, DateTime, Sequence, String, Column, ForeignKey, UniqueConstraint) from sqlalchemy.orm import relation, object_session, deferred from aquilon.exceptions_ import AquilonError from aquilon.aqdb.model import Base, Vendor from aquilon.aqdb.column_types import AqStr, StringEnumColumn from aquilon.aqdb.types import ModelType, NicType class Model(Base): """ Vendor and Model are representations of the various manufacturers and the asset inventory of the kinds of machines we use in the plant """ __tablename__ = 'model' id = Column(Integer, Sequence('model_id_seq'), primary_key=True) name = Column(AqStr(64), nullable=False) vendor_id = Column(ForeignKey(Vendor.id), nullable=False) model_type = Column(StringEnumColumn(ModelType, 20, True), nullable=False) creation_date = deferred(Column(DateTime, default=datetime.now, nullable=False)) comments = Column(String(255)) vendor = relation(Vendor, innerjoin=True) __table_args__ = (UniqueConstraint(vendor_id, name), {'info': {'unique_fields': ['name', 'vendor'], 'extra_search_fields': ['model_type']}}) @property def qualified_name(self): return self.vendor.name + "/" + self.name @classmethod def default_nic_model(cls, session): # TODO: make this configurable return cls.get_unique(session, model_type=NicType.Nic, name='generic_nic', vendor='generic', compel=AquilonError) @property def nic_model(self): if self.machine_specs: return self.machine_specs.nic_model session = object_session(self) return self.default_nic_model(session)

36.236111

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null

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90742a24ba8ef6a7531ae1a57ccb056e534daf0c

4,003

py

Python

examples/compose_prj_from_csv/compose_prj.py

OliverPe/ogs6py

41d5424e565f16d3b47be6f85258fd5b64728cd1

[ "BSD-3-Clause" ]

9

2019-07-18T22:47:37.000Z

2022-01-20T11:57:53.000Z

examples/compose_prj_from_csv/compose_prj.py

OliverPe/ogs6py

41d5424e565f16d3b47be6f85258fd5b64728cd1

[ "BSD-3-Clause" ]

35

2021-02-18T16:46:13.000Z

2022-02-23T11:45:40.000Z

examples/compose_prj_from_csv/compose_prj.py

OliverPe/ogs6py

41d5424e565f16d3b47be6f85258fd5b64728cd1

[ "BSD-3-Clause" ]

16

2019-04-09T16:08:26.000Z

2022-01-20T11:57:10.000Z

# make sure path ogs6py is known via pip or # export PYTHONPATH=$PYTHONPATH:<PATH>/ogs6py/ogs6py # This script generates an OGS input-file (prj) for a variable number of # materials which are included as separate xml-files inside <medium> sections. # # It reads three files # - parameterTable.csv with the parameters of the layers (materials) # - OGStemplate_main.prj with empty media block, i.e. only whitespaces between <media> tags. # - OGStemplate_medium.xml with the medium parameters, to be set inside <medium> # # The output is written to (existing files get overwritten) # - OGSmain.prj containing include-directives to # - OGSmedium_0.xml # - OGSmedium_1.xml # - ... # # TODO: # use include "filename" (quotes) in latest OGS version? # make sure soil sequence in slice matches sequence in table (id_list?) import ogs6py as ogs import pandas as pd ### READ MEDIA (MATERIALS) FROM TABLE ### parameter_table = pd.read_csv('parameterTable.csv') print(parameter_table.info()) N_mat = len(parameter_table.index) # number of data rows (without header) names_list = list(parameter_table['„stratigraphy_unit“']) # TODO add as comment density_list = list(parameter_table['„solid_mass_density_[kg/m³]_max“']) viscosity_list = list(parameter_table['„viscosity“']) permeability_list = list(parameter_table['„hydraulic_permeability_[m²]_mean“']) porosity_list = list(parameter_table['„Porosity_[-]_mean“']) storage_list = list(parameter_table['„hydraulic_storage_[1/Pa]_mean“']) ### PROCESS MEDIA FILES ### # enter parameters into template (ogs6py) medium_template_filename = "OGStemplate_medium.xml" medium_filenames=[] for n in range(N_mat): medium_filename="OGSmedium_"+str(n)+".xml" medium_filenames.append(medium_filename) medium_xml= ogs.OGS(INPUT_FILE=medium_template_filename, PROJECT_FILE=medium_filename) medium_xml.replace_text(viscosity_list[n], xpath="./phases/phase/properties/property[name='viscosity']/value") medium_xml.replace_text(density_list[n], xpath="./phases/phase/properties/property[name='density']/value") medium_xml.replace_text(permeability_list[n], xpath="./properties/property[name='permeability']/value") medium_xml.replace_text(porosity_list[n], xpath="./properties/property[name='porosity']/value") medium_xml.replace_text(storage_list[n], xpath="./properties/property[name='storage']/type") medium_xml.write_input() # The <medium> tags were needed for ogs6py but are removed now, # they will be reinserted as numbered <medium id ...> in main.prj. # This approach was chosen, as OGS allows only one file inclusion per XML-tag for n in range(N_mat): medium_filedata = open(medium_filenames[n]).read() medium_filedata = medium_filedata.replace('<medium>', '' ) medium_filedata = medium_filedata.replace('</medium>','') medium_file = open(medium_filenames[n], 'w') medium_file.write(medium_filedata) medium_file.close ### PROCESS MAIN FILE ### # add medium blocks (ogs6py) main_template_filename='OGStemplate_main.prj' main_filename="OGSmain.prj" main_prj= ogs.OGS(INPUT_FILE=main_template_filename, PROJECT_FILE=main_filename) for n in range(N_mat): include_file="<include file="+medium_filenames[n]+"/>" main_prj.add_entry(parent_xpath="./media", tag="medium", text=include_file, attrib="id", attrib_value=str(n)) main_prj.write_input() # ogs6py codes "<" as "<" and ">" as ">", although XML readers should accept this, we replace it for sake of beauty main_filedata = open(main_filename).read() main_filedata = main_filedata.replace('<', '<') main_filedata = main_filedata.replace('>','>') main_file = open(main_filename, 'w') main_file.write(main_filedata) main_file.close # this is how to replace other parameters than media (ogs6py) #medium_prj.= ogs.OGS(INPUT_FILE=in, PROJECT_FILE=out) #medium_prj.replace_text(9.81, xpath="./processes/process/darcy_gravity/g")

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null

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null

0

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2

9077ce8bf4e83dd0200a5a6f799ccd9fc39487a8

1,898

py

Python

mlbriefcase/datasource.py

Bhaskers-Blu-Org2/Briefcase

f551079b05d3f8494cdff6a0b393969def5a2443

[ "MIT" ]

2

2020-05-04T12:59:05.000Z

2020-05-05T09:31:43.000Z

mlbriefcase/datasource.py

Bhaskers-Blu-Org2/Briefcase

f551079b05d3f8494cdff6a0b393969def5a2443

[ "MIT" ]

4

2020-02-05T11:34:51.000Z

2020-02-05T11:35:12.000Z

mlbriefcase/datasource.py

microsoft/Briefcase

f551079b05d3f8494cdff6a0b393969def5a2443

[ "MIT" ]

5

2020-06-30T16:02:57.000Z

2021-09-15T06:39:08.000Z

from .base import * from .datasource import * class DataSource(Resource): def download(self, target, overwrite=False): raise NotImplementedError class URLDataSource(DataSource): def download(self, filename, **kwargs): import urllib.request return urllib.request.urlretrieve(self.get_url(), filename, **kwargs) def get_url(self) -> str: # TODO: check if getattr works too, check if the default is evaluated here if hasattr(self, 'url'): return self.url else: return self.dataset.get_url() def to_dataflow(self) -> 'dprep.Dataflow': import azureml.dataprep as dprep return dprep.auto_read_file(self.get_url()) def to_pandas_dataframe(self): return self.to_dataflow().to_pandas_dataframe() def to_spark_dataframe(self) -> 'pyspark.sql.DataFrame': return self.to_dataflow().to_spark_dataframe() # TODO: can we auto-generate this type (or register for multiple yaml_tag?) # class CSVDataSource(URLDataSource): # yaml_tag = u'!csv' # def to_dataflow(self) -> 'dprep.Dataflow': # import azureml.dataprep as dprep # # dprep.read_json # # TODO: lookup method dprep.read_* # # not sure if the **self.get_params() is such a great idea as it ain't portable? # url = self.get_url() # try: # ds = url # if url.startswith('http://') or url.startswith('https://'): # ds = dprep.HttpDataSource(url) # return dprep.read_csv(ds, **self.get_params('dataset', 'url')) # except Exception as e: # self.get_logger().warning("unable to fetch data using dprep. falling back to url download: {}".format(e)) # # since dprep doesn't forward the error message # import urllib.request # return urllib.request.urlopen(url).read()

37.96

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1,898

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null

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null

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1

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1

0

2

907cf2eb4f6b1913e641447bdc269c005d897923

952

py

Python

mkt/webapps/tests/test_utils_.py

muffinresearch/zamboni

045a6f07c775b99672af6d9857d295ed02fe5dd9

[ "BSD-3-Clause" ]

null

mkt/webapps/tests/test_utils_.py

muffinresearch/zamboni

045a6f07c775b99672af6d9857d295ed02fe5dd9

[ "BSD-3-Clause" ]

null

mkt/webapps/tests/test_utils_.py

muffinresearch/zamboni

045a6f07c775b99672af6d9857d295ed02fe5dd9

[ "BSD-3-Clause" ]

null

from nose.tools import eq_ import amo from mkt.webapps.utils import get_supported_locales class TestSupportedLocales(amo.tests.TestCase): def setUp(self): self.manifest = {'default_locale': 'en'} def check(self, expected): eq_(get_supported_locales(self.manifest), expected) def test_empty_locale(self): self.check([]) def test_single_locale(self): self.manifest.update({'locales': {'es': {'name': 'eso'}}}) self.check(['es']) def test_multiple_locales(self): self.manifest.update({'locales': {'es': {'name': 'si'}, 'fr': {'name': 'oui'}}}) self.check(['es', 'fr']) def test_short_locale(self): self.manifest.update({'locales': {'pt': {'name': 'sim'}}}) self.check(['pt-PT']) def test_unsupported_locale(self): self.manifest.update({'locales': {'xx': {'name': 'xx'}}}) self.check([])

28

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110

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4.854545

0.372727

0.089888

0.149813

0.164794

0.273408

0.131086

0

0.237395

952

33

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0.735537

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false

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null

0

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0

null

0

1

0

2

90999f68c5e83ae8a3ca4d99fc295d9d2d1c2576

1,649

py

Python

filter_plugins/neutron_user_password_decrypt.py

ArdanaCLM/neutron-ansible

777f0b3f9e495fa84c9d47091bc816e99f892a63

[ "Apache-2.0" ]

null

filter_plugins/neutron_user_password_decrypt.py

ArdanaCLM/neutron-ansible

777f0b3f9e495fa84c9d47091bc816e99f892a63

[ "Apache-2.0" ]

null

filter_plugins/neutron_user_password_decrypt.py

ArdanaCLM/neutron-ansible

777f0b3f9e495fa84c9d47091bc816e99f892a63

[ "Apache-2.0" ]

2

2018-03-09T19:50:30.000Z

2019-02-26T19:53:51.000Z

# # (c) Copyright 2015-2017 Hewlett Packard Enterprise Development LP # (c) Copyright 2017 SUSE 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, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. # # TODO: maintain single copy of this filter in a shared repo, like ardana-ansible # import imp import os.path path = os.path.dirname(os.path.realpath(__file__)) ardanaencrypt = imp.load_source('ardanaencrypt', path + '/../ardanaencrypt.py') encryption_class = 'openssl' ardanaencrypt_class = getattr(ardanaencrypt, encryption_class) def neutron_user_password_decrypt(value, *args, **kw): prefix = None if value.startswith(ardanaencrypt_class.prefix): prefix = ardanaencrypt_class.prefix # For upgrade cases, need to support existing encrypted values which may # have legacy prefix in-use. elif value.startswith(ardanaencrypt_class.legacy_prefix): prefix = ardanaencrypt_class.legacy_prefix if prefix is None: return value else: obj = ardanaencrypt_class() return obj.decrypt(value[len(prefix):]) class FilterModule(object): def filters(self): return {'neutron_user_password_decrypt': neutron_user_password_decrypt}

32.333333

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0.064677

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1,649

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null

0

null

0

1

0

1

0

2

90a0f364c91d17fb928deb5d4abaf9b8ba2a1772

136

py

Python

ZeroSeg/examples/text_example.py

TooFiveFive/Smart-Alarm-Clock-Plus

4dd1d7f4637dd6ccf977f6cc5562cbfd341b3c3e

[ "MIT" ]

12

2016-08-18T09:08:53.000Z

2018-09-09T17:05:27.000Z

ZeroSeg/examples/text_example.py

TooFiveFive/Smart-Alarm-Clock-Plus

4dd1d7f4637dd6ccf977f6cc5562cbfd341b3c3e

[ "MIT" ]

7

2016-10-12T21:34:53.000Z

2018-07-08T18:03:32.000Z

ZeroSeg/examples/text_example.py

TooFiveFive/Smart-Alarm-Clock-Plus

4dd1d7f4637dd6ccf977f6cc5562cbfd341b3c3e

[ "MIT" ]

5

2019-08-03T15:06:25.000Z

2021-02-09T20:45:27.000Z

import ZeroSeg.led as led import time device = led.sevensegment(cascaded=2) device.write_text(1,"YES") time.sleep(3) device.clear()

12.363636

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null

0

null

0

1

0

2

90a1721b47bb93d4c2e8a441cdbd1a8de5e45376

17,135

py

Python

machine_learning/cost_sensitive_learning_functions.py

suleymanaslan/bilkent-coursework

33b3e73d17a2b29800777e459809fc3e46f298a3

[ "MIT" ]

null

machine_learning/cost_sensitive_learning_functions.py

suleymanaslan/bilkent-coursework

33b3e73d17a2b29800777e459809fc3e46f298a3

[ "MIT" ]

null

machine_learning/cost_sensitive_learning_functions.py

suleymanaslan/bilkent-coursework

33b3e73d17a2b29800777e459809fc3e46f298a3

[ "MIT" ]

null

import numpy as np from sklearn.ensemble import RandomForestClassifier def train_baseline(data_train_x, data_train_y, data_test_x, data_test_y): clf = RandomForestClassifier(n_estimators=100, max_depth=9, random_state=550) clf.fit(data_train_x, data_train_y) train_acc = (clf.predict(data_train_x) == data_train_y).mean() test_acc = (clf.predict(data_test_x) == data_test_y).mean() train_acc_c1 = (clf.predict(data_train_x[data_train_y == 1]) == data_train_y[data_train_y == 1]).mean() test_acc_c1 = (clf.predict(data_test_x[data_test_y == 1]) == data_test_y[data_test_y == 1]).mean() train_acc_c2 = (clf.predict(data_train_x[data_train_y == 2]) == data_train_y[data_train_y == 2]).mean() test_acc_c2 = (clf.predict(data_test_x[data_test_y == 2]) == data_test_y[data_test_y == 2]).mean() train_acc_c3 = (clf.predict(data_train_x[data_train_y == 3]) == data_train_y[data_train_y == 3]).mean() test_acc_c3 = (clf.predict(data_test_x[data_test_y == 3]) == data_test_y[data_test_y == 3]).mean() print(f"Train Acc:{train_acc:.4f}") print(f"Test Acc:{test_acc:.4f}") print(f"Class 1 Train Acc:{train_acc_c1:.4f}") print(f"Class 1 Test Acc:{test_acc_c1:.4f}") print(f"Class 2 Train Acc:{train_acc_c2:.4f}") print(f"Class 2 Test Acc:{test_acc_c2:.4f}") print(f"Class 3 Train Acc:{train_acc_c3:.4f}") print(f"Class 3 Test Acc:{test_acc_c3:.4f}") train_misclassification = (clf.predict(data_train_x) != data_train_y).sum() print(f"Train Misclassifications:{train_misclassification}") def forward_selection(data_train_x, data_train_y, data_cost): clf = RandomForestClassifier(n_estimators=100, max_depth=9, random_state=550) cur_features = [] cur_joint_cost = np.inf cur_feature_cost = 0 done = False acc_0 = (np.ones_like(data_train_y) * 3 == data_train_y).mean() all_f_cost = data_cost.sum() while not done: new_feature_index = -1 for i in range(data_train_x.shape[1]): if i in cur_features: continue used_features = [] current_cost = cur_feature_cost if i == 20: used_features.append(i-2) used_features.append(i-1) current_cost += data_cost[i-2] current_cost += data_cost[i-1] else: current_cost += data_cost[i] used_features.append(i) all_features = cur_features + used_features used_features_x = None for u_feature in all_features: if used_features_x is None: used_features_x = np.expand_dims(data_train_x[:,u_feature], axis=1) else: used_features_x = np.append(used_features_x, np.expand_dims(data_train_x[:,u_feature], axis=1), axis=1) clf.fit(used_features_x, data_train_y) used_features_acc = (clf.predict(used_features_x) == data_train_y).mean() used_features_acc_c1 = (clf.predict(used_features_x[data_train_y == 1]) == data_train_y[data_train_y == 1]).mean() used_features_acc_c2 = (clf.predict(used_features_x[data_train_y == 2]) == data_train_y[data_train_y == 2]).mean() used_features_acc_c3 = (clf.predict(used_features_x[data_train_y == 3]) == data_train_y[data_train_y == 3]).mean() joint_cost = (acc_0 + (1 - acc_0) * (current_cost / all_f_cost)) / used_features_acc if joint_cost < cur_joint_cost: cur_joint_cost = joint_cost new_feature_index = i best_feature_cost = current_cost best_features = used_features best_acc = used_features_acc best_acc_c1 = used_features_acc_c1 best_acc_c2 = used_features_acc_c2 best_acc_c3 = used_features_acc_c3 print(f"Features:{used_features},\tAcc:{used_features_acc:.2f}, Class1_Acc:{used_features_acc_c1:.4f}, " f"Class2_Acc:{used_features_acc_c2:.4f}, Class3_Acc:{used_features_acc_c3:.4f}, " f"Joint Cost:{joint_cost:.4f}, Feature Cost:{current_cost}") if new_feature_index > -1: cur_features = cur_features + best_features cur_feature_cost = best_feature_cost else: done = True print("Done") print(f"Selected Features:{cur_features}, Acc:{best_acc:.4f}, Class1_Acc:{best_acc_c1:.4f}, Class2_Acc:{best_acc_c2:.4f}, " f"Class3_Acc:{best_acc_c3:.4f}, Joint Cost:{cur_joint_cost:.4f}, Feature Cost:{cur_feature_cost}") print("") return cur_features def evaluate_forward_selection(cur_features, data_train_x, data_test_x, data_train_y, data_test_y): clf = RandomForestClassifier(n_estimators=100, max_depth=9, random_state=550) used_features_x = None for u_feature in cur_features: if used_features_x is None: used_features_x = np.expand_dims(data_train_x[:,u_feature], axis=1) else: used_features_x = np.append(used_features_x, np.expand_dims(data_train_x[:,u_feature], axis=1), axis=1) used_features_test_x = None for u_feature in cur_features: if used_features_test_x is None: used_features_test_x = np.expand_dims(data_test_x[:,u_feature], axis=1) else: used_features_test_x = np.append(used_features_test_x, np.expand_dims(data_test_x[:,u_feature], axis=1), axis=1) clf.fit(used_features_x, data_train_y) selected_features_train_acc = (clf.predict(used_features_x) == data_train_y).mean() selected_features_train_acc_c1 = (clf.predict(used_features_x[data_train_y == 1]) == data_train_y[data_train_y == 1]).mean() selected_features_train_acc_c2 = (clf.predict(used_features_x[data_train_y == 2]) == data_train_y[data_train_y == 2]).mean() selected_features_train_acc_c3 = (clf.predict(used_features_x[data_train_y == 3]) == data_train_y[data_train_y == 3]).mean() selected_features_test_acc = (clf.predict(used_features_test_x) == data_test_y).mean() selected_features_test_acc_c1 = (clf.predict(used_features_test_x[data_test_y == 1]) == data_test_y[data_test_y == 1]).mean() selected_features_test_acc_c2 = (clf.predict(used_features_test_x[data_test_y == 2]) == data_test_y[data_test_y == 2]).mean() selected_features_test_acc_c3 = (clf.predict(used_features_test_x[data_test_y == 3]) == data_test_y[data_test_y == 3]).mean() print(f"Selected Features:{cur_features}, " f"Train Acc:{selected_features_train_acc:.4f}, " f"Train Class1_Acc:{selected_features_train_acc_c1:.4f}, " f"Train Class2_Acc:{selected_features_train_acc_c2:.4f}, " f"Train Class3_Acc:{selected_features_train_acc_c3:.4f}, ") print(f"Selected Features:{cur_features}, " f"Test Acc:{selected_features_test_acc:.4f}, " f"Test Class1_Acc:{selected_features_test_acc_c1:.4f}, " f"Test Class2_Acc:{selected_features_test_acc_c2:.4f}, " f"Test Class3_Acc:{selected_features_test_acc_c3:.4f}, ") def calculate_fitness(population, data_train_x, data_train_y, data_cost): clf = RandomForestClassifier(n_estimators=100, max_depth=9, random_state=550) acc_0 = (np.ones_like(data_train_y) * 3 == data_train_y).mean() all_f_cost = data_cost.sum() fitness_values = [] for individual in population: cur_features = [] cur_feature_cost = 0 for u_feature, is_used in enumerate(individual): if is_used: cur_features.append(u_feature) cur_feature_cost += data_cost[u_feature] if 18 in cur_features and 19 in cur_features: cur_features.append(20) used_features_x = None for u_feature in cur_features: if used_features_x is None: used_features_x = np.expand_dims(data_train_x[:,u_feature], axis=1) else: used_features_x = np.append(used_features_x, np.expand_dims(data_train_x[:,u_feature], axis=1), axis=1) clf.fit(used_features_x, data_train_y) used_features_acc = (clf.predict(used_features_x) == data_train_y).mean() joint_cost = (acc_0 + (1 - acc_0) * (cur_feature_cost / all_f_cost)) / used_features_acc fitness_values.append(joint_cost) return fitness_values def selection(population, fitness_values, to_be_selected): new_population = [] temp_fitness = fitness_values.copy() for i in range(to_be_selected): best_fit = np.argmin(temp_fitness) temp_fitness[best_fit] = np.inf new_population.append(population[best_fit]) return new_population def cross_over(new_population, to_be_crossed_over): children = None for _ in range(to_be_crossed_over): temp = np.arange(len(new_population)) first_parent_id = np.random.choice(temp) temp = np.delete(temp, first_parent_id) second_parent_id = np.random.choice(temp) first_parent = new_population[first_parent_id] second_parent = new_population[second_parent_id] mask = np.random.randint(2, size=(20)) first_genes = np.logical_and(first_parent, mask == 0).astype(np.int32) second_genes = np.logical_and(second_parent, mask == 1).astype(np.int32) child = np.logical_or(first_genes, second_genes).astype(np.int32) children = child if children is None else np.vstack((children, child)) first_genes = np.logical_and(first_parent, mask == 1).astype(np.int32) second_genes = np.logical_and(second_parent, mask == 0).astype(np.int32) child = np.logical_or(first_genes, second_genes).astype(np.int32) children = child if children is None else np.vstack((children, child)) return children print(children) def mutate(individuals_to_mutate): mutants = None nb_of_ones = np.random.randint(2) + 1 nb_of_zeros = 20 - nb_of_ones mutation_mask = np.array([0] * nb_of_zeros + [1] * nb_of_ones) np.random.shuffle(mutation_mask) for ix, individual in enumerate(individuals_to_mutate): individual_inverse = 1-individual normal_genes = np.logical_and(individual, mutation_mask == 0).astype(np.int32) mutant_genes = np.logical_and(individual_inverse, mutation_mask == 1).astype(np.int32) mutant = np.logical_or(normal_genes, mutant_genes).astype(np.int32) mutants = mutant if mutants is None else np.vstack((mutants, mutant)) return mutants def next_generation(population, fitness_values, to_be_selected, to_be_crossed_over, to_be_mutated): new_population = selection(population, fitness_values, to_be_selected) children = cross_over(new_population, to_be_crossed_over) mutants = mutate(children[:to_be_mutated]) children[:to_be_mutated] = mutants return np.vstack((new_population, children)) def eval_individual(individual, data_train_x, data_train_y, data_cost, train=True): clf = RandomForestClassifier(n_estimators=100, max_depth=9, random_state=550) acc_0 = (np.ones_like(data_train_y) * 3 == data_train_y).mean() all_f_cost = data_cost.sum() cur_features = [] cur_feature_cost = 0 for u_feature, is_used in enumerate(individual): if is_used: cur_features.append(u_feature) cur_feature_cost += data_cost[u_feature] if 18 in cur_features and 19 in cur_features: cur_features.append(20) used_features_x = None for u_feature in cur_features: if used_features_x is None: used_features_x = np.expand_dims(data_train_x[:,u_feature], axis=1) else: used_features_x = np.append(used_features_x, np.expand_dims(data_train_x[:,u_feature], axis=1), axis=1) clf.fit(used_features_x, data_train_y) used_features_acc = (clf.predict(used_features_x) == data_train_y).mean() used_features_acc_c1 = (clf.predict(used_features_x[data_train_y == 1]) == data_train_y[data_train_y == 1]).mean() used_features_acc_c2 = (clf.predict(used_features_x[data_train_y == 2]) == data_train_y[data_train_y == 2]).mean() used_features_acc_c3 = (clf.predict(used_features_x[data_train_y == 3]) == data_train_y[data_train_y == 3]).mean() joint_cost = (acc_0 + (1 - acc_0) * (cur_feature_cost / all_f_cost)) / used_features_acc print(f"Features:{cur_features},\tAcc:{used_features_acc:.4f}, Class1_Acc:{used_features_acc_c1:.4f}, " f"Class2_Acc:{used_features_acc_c2:.4f}, Class3_Acc:{used_features_acc_c3:.4f}, " f"Joint Cost:{joint_cost:.4f}, Feature Cost:{cur_feature_cost}") def genetic_algorithm(data_train_x, data_train_y, data_cost): p = 80 r = 0.8 m = 0.6 to_be_selected = round((1 - r) * p) to_be_crossed_over = round(r * p / 2) to_be_mutated = round(m * p) initial_features = 5 final_individual = None final_joint_cost = np.inf done = False for g in range(10): if g == 0: population = None for _ in range(p): row_p = np.array([0] * (20 - initial_features) + [1] * initial_features) np.random.shuffle(row_p) population = row_p if population is None else np.vstack((population, row_p)) fitness_values = calculate_fitness(population, data_train_x, data_train_y, data_cost) else: population = next_generation(population, fitness_values, to_be_selected, to_be_crossed_over, to_be_mutated) fitness_values = calculate_fitness(population, data_train_x, data_train_y, data_cost) best_fit_ix = np.argsort(fitness_values)[0] best_fit_individual = population[best_fit_ix] best_fit_cost = fitness_values[best_fit_ix] print(f"Generation:{g}, Individual:{best_fit_individual}, Joint Cost:{best_fit_cost:.8f}") eval_individual(best_fit_individual, data_train_x, data_train_y, data_cost) if best_fit_cost < final_joint_cost: final_individual = best_fit_individual final_joint_cost = best_fit_cost else: done = True if done: break return best_fit_individual def evaulate_genetic_algorithm(best_fit_individual, data_train_x, data_train_y, data_test_x, data_test_y, data_cost): clf = RandomForestClassifier(n_estimators=100, max_depth=9, random_state=550) cur_features = [] cur_feature_cost = 0 for u_feature, is_used in enumerate(best_fit_individual): if is_used: cur_features.append(u_feature) cur_feature_cost += data_cost[u_feature] if 18 in cur_features and 19 in cur_features: cur_features.append(20) used_features_x = None for u_feature in cur_features: if used_features_x is None: used_features_x = np.expand_dims(data_train_x[:,u_feature], axis=1) else: used_features_x = np.append(used_features_x, np.expand_dims(data_train_x[:,u_feature], axis=1), axis=1) used_features_test_x = None for u_feature in cur_features: if used_features_test_x is None: used_features_test_x = np.expand_dims(data_test_x[:,u_feature], axis=1) else: used_features_test_x = np.append(used_features_test_x, np.expand_dims(data_test_x[:,u_feature], axis=1), axis=1) clf.fit(used_features_x, data_train_y) selected_features_train_acc = (clf.predict(used_features_x) == data_train_y).mean() selected_features_train_acc_c1 = (clf.predict(used_features_x[data_train_y == 1]) == data_train_y[data_train_y == 1]).mean() selected_features_train_acc_c2 = (clf.predict(used_features_x[data_train_y == 2]) == data_train_y[data_train_y == 2]).mean() selected_features_train_acc_c3 = (clf.predict(used_features_x[data_train_y == 3]) == data_train_y[data_train_y == 3]).mean() selected_features_test_acc = (clf.predict(used_features_test_x) == data_test_y).mean() selected_features_test_acc_c1 = (clf.predict(used_features_test_x[data_test_y == 1]) == data_test_y[data_test_y == 1]).mean() selected_features_test_acc_c2 = (clf.predict(used_features_test_x[data_test_y == 2]) == data_test_y[data_test_y == 2]).mean() selected_features_test_acc_c3 = (clf.predict(used_features_test_x[data_test_y == 3]) == data_test_y[data_test_y == 3]).mean() print(f"Selected Features:{cur_features}, " f"Train Acc:{selected_features_train_acc:.4f}, " f"Train Class1_Acc:{selected_features_train_acc_c1:.4f}, " f"Train Class2_Acc:{selected_features_train_acc_c2:.4f}, " f"Train Class3_Acc:{selected_features_train_acc_c3:.4f}, ") print(f"Selected Features:{cur_features}, " f"Test Acc:{selected_features_test_acc:.4f}, " f"Test Class1_Acc:{selected_features_test_acc_c1:.4f}, " f"Test Class2_Acc:{selected_features_test_acc_c2:.4f}, " f"Test Class3_Acc:{selected_features_test_acc_c3:.4f}, ")

47.597222

131

0.679428

2,575

17,135

4.099806

0.062136

0.086104

0.070096

0.039595

0.757602

0.708629

0.688358

0.677465

0.635503

0.631524

0

0.024567

0.211322

17,135

359

132

47.729805

0.756623

0

0.50519

0

0.00346

0.117946

0.09396

0

1

0.038062

false

0

0.00692

0

0.069204

0

null

0

1

0

1

0

null

0

2

90af80382960fcf99a987461ba8a08469e02e26d

1,182

py

Python

flexget/plugins/input/generate.py

tvcsantos/Flexget

e08ce2957dd4f0668911d1e56347369939e4d0a5

[ "MIT" ]

null

flexget/plugins/input/generate.py

tvcsantos/Flexget

e08ce2957dd4f0668911d1e56347369939e4d0a5

[ "MIT" ]

1

2018-06-09T18:03:35.000Z

flexget/plugins/input/generate.py

tvcsantos/Flexget

e08ce2957dd4f0668911d1e56347369939e4d0a5

[ "MIT" ]

null

from __future__ import unicode_literals, division, absolute_import import logging from flexget import plugin from flexget.event import event from flexget.entry import Entry from flexget import validator log = logging.getLogger(__name__.rsplit('.')[-1]) class Generate(object): """Generates n number of random entries. Used for debugging purposes.""" schema = {'type': 'integer'} def on_task_input(self, task, config): amount = config or 0 # hackily makes sure it's an int value entries = [] for i in range(amount): entry = Entry() import string import random entry['url'] = 'http://localhost/generate/%s/%s' % (i, ''.join([random.choice(string.letters + string.digits) for x in range(1, 30)])) entry['title'] = ''.join([random.choice(string.letters + string.digits) for x in range(1, 30)]) entry['description'] = ''.join([random.choice(string.letters + string.digits) for x in range(1, 1000)]) entries.append(entry) return entries @event('plugin.register') def register_plugin(): plugin.register(Generate, 'generate', api_ver=2, debug=True)

34.764706

146

0.65313

152

1,182

4.986842

0.493421

0.058047

0.063325

0.087071

0.228232

0

0.015152

0.218274

1,182

33

147

35.818182

0.805195

0.087986

0

0.079291

0

1

0.083333

false

0

0.333333

0

0.541667

0

null

0

null

0

1

0

1

0

2

90d1072260263bedc9d86a9800070ef0ba79bdce

8,002

py

Python

src/old_2/theatre_stats.py

bryanabsmith/theatre

4daf56d545b256aa9d609524dedaa591a2fb9b4b

[ "MIT" ]

1

2015-12-19T16:48:32.000Z

src/old_2/theatre_stats.py

bryanabsmith/ssp

4daf56d545b256aa9d609524dedaa591a2fb9b4b

[ "MIT" ]

null

src/old_2/theatre_stats.py

bryanabsmith/ssp

4daf56d545b256aa9d609524dedaa591a2fb9b4b

[ "MIT" ]

null

#!/usr/bin/python """ theatre statistics reporter. """ import anydbm import ConfigParser import sys import time """ This is the stats module which helps to generate and report back stats about the server. """ class THEATREStats(object): """ THEATREStats module - the "workhorse" module. """ config = ConfigParser.RawConfigParser(allow_no_value=True) """ Statistics class for THEATRE - init. """ def __init__(self): self.config.read("theatre.config") #stats_db_location = self.config.get("stats", "location") try: stats_db = anydbm.open("%s/theatre_stats.db" % self.config.get("stats", "location"), "c") except IOError: print(" :: It would appear as though the [stats] -> " + \ "location configuration option is set to a location " + \ "that isn't a valid directory. Please set it to a " + "valid directory and re-execute theatre_stats.") sys.exit(0) #show_daily = self.config.get("stats", "show_daily_requests") #visualize_bars = "" date_time = { "notformatted": time.strftime("%H-%M-%S_%d-%m-%Y"), "formatted": time.strftime("%d/%m/%Y, %H:%M:%S") } try: #option = sys.argv[1] if sys.argv[1] == "export_csv": output = "key, value\n" for keys in sorted(stats_db.keys()): output += "%s, %s\n" % (keys, stats_db[keys]) output_csv = open("%s/theatre_csv_%s.csv" % (self.config.get("stats", "output_csv"), date_time["notformatted"]), "w").write(output) #output_csv.write(output) output_csv.close() print(" :: Statistics exported to %s/theatre_csv_%s.csv" % (self.config.get("stats", "output_csv"), date_time["notformatted"])) elif sys.argv[1] == "export_html": totals = { "browsers": 0, "oses": 0, "requests": 0 } counts = { "browsers": [], "browsers_value": [], "oses": [], "oses_value": [], "requests": [], "requests_value": [] } for keys in stats_db.keys(): if keys[:7] == "browser": totals["browsers"] += int(stats_db[keys]) elif keys[:2] == "os": totals["oses"] += int(stats_db[keys]) elif keys == "requests": totals["requests"] = stats_db["requests"] for keys in sorted(stats_db.keys()): if keys[:7] == "browser": counts["browsers"].append(keys[8:].replace("_", " ") + " (%s, %s%%)" % (stats_db[keys], str(round((float( stats_db[keys])/totals["browsers"]) *100, 2)))) counts["browsers_value"].append(int(stats_db[keys])) elif keys[:2] == "os": counts["oses"].append(keys[3:].replace("_", " ") + " (%s, %s%%)" % (stats_db[keys], str(round((float(stats_db[keys])/totals["oses"]) *100, 2)))) counts["oses_value"].append(int(stats_db[keys])) elif keys[:9] == "requests_": counts["requests"].append(keys[9:].replace("_", "/")) counts["requests_value"].append(int(stats_db[keys])) #requests_max = max(requests_value) + 2 stats_html = """ <html> <head> <link rel='stylesheet' href='http://cdn.jsdelivr.net/chartist.js/latest/chartist.min.css'> <link href='https://fonts.googleapis.com/css?family=Raleway' rel='stylesheet' type='text/css'> <script src='http://cdn.jsdelivr.net/chartist.js/latest/chartist.min.js'></script> <style>body {background-color: #F2F2F0; font-family: 'Raleway', sans-serif; margin: 5%%;}</style> </head> <body> <h1>theatre Statistics (%s)</h1> <h3>Browser</h3><div id='chartBrowser' class='ct-chart ct-perfect-fourth'></div><p></p> <h3>Operating Systems</h3><div id='chartOS' class='ct-chart ct-perfect-fourth'></div><p></p> <h3>Requests (%s total)</h3><div id='chartRequests' class='ct-chart ct-perfect-fourth'></div> <script> new Chartist.Pie('#chartBrowser', {labels: %s, series: %s}, {donut: true, donutWidth: 50, startAngle: 0, total: 0, showLabel: true, chartPadding: 100, labelOffset: 50, labelDirection: 'explode'}); new Chartist.Pie('#chartOS', {labels: %s, series: %s}, {donut: true, donutWidth: 50, startAngle: 0, total: 0, showLabel: true, chartPadding: 100, labelOffset: 50, labelDirection: 'explode'}); new Chartist.Line('#chartRequests', {labels: %s, series: [%s]}, {high: %i, low: 0, showArea: true}); </script> </body> </html> """ % (date_time["formatted"], totals["requests"], counts["browsers"], counts["browsers_value"], counts["oses"], counts["oses_value"], counts["requests"], counts["requests_value"], int(max(counts["requests_value"]) + 2)) f_output = open("%s/theatre_html_%s.html" % (self.config.get("stats", "output_html"), date_time["notformatted"]), "w") f_output.writelines(stats_html) f_output.close() print(" :: Statistics exported to %s/theatre_html_%s.html" % (self.config.get("stats", "output_html"), date_time["notformatted"])) else: print(" :: Invalid option. Possible options:\n " ":: export_csv - Export the keys and values to a csv file.\n " ":: export_html - Export the keys and values to a html file.") except IndexError: try: for keys in sorted(stats_db.keys()): if self.config.get("stats", "show_daily_requests") == "False": if keys[:8] == "requests": pass else: print " :: %s=%s" % (keys, stats_db[keys]) else: print " :: %s=%s" % (keys, stats_db[keys]) except KeyError: print ":: No data." @staticmethod def get_server_version(): """ Return server version. """ import theatre return theatre.__theatre_version__ @staticmethod def get_server_platform(): """ Return server platform. """ import theatre return theatre.__plat__ if __name__ == "__main__": THEATRE_STATS = THEATREStats()

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90e49744ac5303efcf5fac0b9dd331d4295c50a6

312

py

Python

private_transformers/privacy_utils/misc.py

JunyiZhu-AI/private-transformers

9d70a570a56e6e19d8a8cb1f8e3b3ffd809a04ef

[ "Apache-2.0" ]

29

2021-10-24T00:43:29.000Z

2022-03-25T02:31:21.000Z

private_transformers/privacy_utils/misc.py

JunyiZhu-AI/private-transformers

9d70a570a56e6e19d8a8cb1f8e3b3ffd809a04ef

[ "Apache-2.0" ]

8

2021-10-30T05:57:31.000Z

2022-03-30T16:22:46.000Z

private_transformers/privacy_utils/misc.py

JunyiZhu-AI/private-transformers

9d70a570a56e6e19d8a8cb1f8e3b3ffd809a04ef

[ "Apache-2.0" ]

4

2021-11-03T04:40:37.000Z

2022-03-04T00:26:15.000Z

"""Miscellaneous helpers.""" import warnings def handle_unused_kwargs(unused_kwargs, msg=None): if len(unused_kwargs) > 0: if msg is not None: warnings.warn(f"{msg}: Unexpected arguments {unused_kwargs}") else: warnings.warn(f"Unexpected arguments {unused_kwargs}")

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null

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90f0ae5392d1472cf0101ef4c2178959aa451182

300

py

Python

algoexpert.io/python/Find_Loop.py

XSoyOscar/Algorithms

6e1626d4b0f7804494f0a651698966ad6fd0fe18

[ "MIT" ]

80

2020-07-02T20:47:21.000Z

2022-03-22T06:52:59.000Z

algoexpert.io/python/Find_Loop.py

XSoyOscar/Algorithms

6e1626d4b0f7804494f0a651698966ad6fd0fe18

[ "MIT" ]

1

2020-10-05T19:22:10.000Z

algoexpert.io/python/Find_Loop.py

XSoyOscar/Algorithms

6e1626d4b0f7804494f0a651698966ad6fd0fe18

[ "MIT" ]

73

2020-04-09T22:28:01.000Z

2022-02-26T19:22:25.000Z

# O(n) time | O(1) space def findLoop(head): first = head.next second = head.next.next while first != second: first = first.next second = second.next.next first = head while first != second: first = first.next second = second.next return first

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null

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90fadbb54dedcf4a21fdefea57abf73240f02de7

499

py

Python

src/pycropml/model.py

sielenk-yara/PyCrop2ML

dfcab79061fa71d4343120573b50b6232812999e

[ "MIT" ]

null

src/pycropml/model.py

sielenk-yara/PyCrop2ML

dfcab79061fa71d4343120573b50b6232812999e

[ "MIT" ]

null

src/pycropml/model.py

sielenk-yara/PyCrop2ML

dfcab79061fa71d4343120573b50b6232812999e

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Tue Jun 4 22:10:54 2019 @author: midingoy """ import os path = os.path.dirname(os.path.realpath(__file__)) sbmlFilePath = os.path.join(path, 'MODEL1204190002.xml') with open(sbmlFilePath,'r') as f: sbmlString = f.read() def module_exists(module_name): try: __import__(module_name) except ImportError: return False else: return True if module_exists('pycrop2ml'): import pycrop2ml from pycropml import model

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null

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null

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0

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290e609e00e6cfaee87e2b902f545bd06450fe8d

399

py

Python

machina/apps/forum_tracking/registry_config.py

OneRainbowDev/django-machina

7354cc50f58dcbe49eecce7e1f019f6fff21d690

[ "BSD-3-Clause" ]

1

2021-10-08T03:31:24.000Z

machina/apps/forum_tracking/registry_config.py

OneRainbowDev/django-machina

7354cc50f58dcbe49eecce7e1f019f6fff21d690

[ "BSD-3-Clause" ]

7

2020-02-12T01:11:13.000Z

2022-03-11T23:26:32.000Z

machina/apps/forum_tracking/registry_config.py

OneRainbowDev/django-machina

7354cc50f58dcbe49eecce7e1f019f6fff21d690

[ "BSD-3-Clause" ]

1

2019-04-20T05:26:27.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.apps import AppConfig from django.utils.translation import ugettext_lazy as _ class TrackingRegistryConfig(AppConfig): label = 'forum_tracking' name = 'machina.apps.forum_tracking' verbose_name = _('Machina: Forum tracking') def ready(self): # pragma: no cover from . import receivers # noqa

24.9375

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null

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null

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29154b4e535f27d46e6504086dad1a8ac5b22afd

7,811

py

Python

ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/triggeredtraceroutelearnedinfo_60610bdf03c18bf6050144c753fe5797.py

rfrye-github/ixnetwork_restpy

23eeb24b21568a23d3f31bbd72814ff55eb1af44

[ "MIT" ]

null

ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/triggeredtraceroutelearnedinfo_60610bdf03c18bf6050144c753fe5797.py

rfrye-github/ixnetwork_restpy

23eeb24b21568a23d3f31bbd72814ff55eb1af44

[ "MIT" ]

null

ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/triggeredtraceroutelearnedinfo_60610bdf03c18bf6050144c753fe5797.py

rfrye-github/ixnetwork_restpy

23eeb24b21568a23d3f31bbd72814ff55eb1af44

[ "MIT" ]

null

# MIT LICENSE # # Copyright 1997 - 2020 by IXIA Keysight # # 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, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. from ixnetwork_restpy.base import Base from ixnetwork_restpy.files import Files class TriggeredTracerouteLearnedInfo(Base): """This object holds the attributes for triggered trace route learned information. The TriggeredTracerouteLearnedInfo class encapsulates a list of triggeredTracerouteLearnedInfo resources that are managed by the system. A list of resources can be retrieved from the server using the TriggeredTracerouteLearnedInfo.find() method. """ __slots__ = () _SDM_NAME = 'triggeredTracerouteLearnedInfo' _SDM_ATT_MAP = { 'Fec': 'fec', 'Hops': 'hops', 'IncomingLabelStack': 'incomingLabelStack', 'NumberOfReplyingHops': 'numberOfReplyingHops', 'OutgoingLabelStack': 'outgoingLabelStack', 'Reachability': 'reachability', 'SenderHandle': 'senderHandle', } def __init__(self, parent): super(TriggeredTracerouteLearnedInfo, self).__init__(parent) @property def Hops(self): """ Returns ------- - obj(ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.hops_afd65edf9d4aac0ccdf5a3a2bd672a47.Hops): An instance of the Hops class Raises ------ - ServerError: The server has encountered an uncategorized error condition """ from ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.hops_afd65edf9d4aac0ccdf5a3a2bd672a47 import Hops return Hops(self) @property def Fec(self): """ Returns ------- - str: This signifies the FEC component. """ return self._get_attribute(self._SDM_ATT_MAP['Fec']) @property def Hops(self): """ Returns ------- - str: This signifies the number of LSP hops. """ return self._get_attribute(self._SDM_ATT_MAP['Hops']) @property def IncomingLabelStack(self): """ Returns ------- - str: This signifies the information is sent to the MPLS-OAM module which is used for validation of FEC stack received in an echo request. This is the assigned labels stack by the Ixia router and bfd/ping messages are expected to be received from DUT with this stack values. The outer value corresponds to the PSN Tunnel Label and the inner value corresponds to the PW label. """ return self._get_attribute(self._SDM_ATT_MAP['IncomingLabelStack']) @property def NumberOfReplyingHops(self): """ Returns ------- - number: This signifies the total number of replying LSP hops. """ return self._get_attribute(self._SDM_ATT_MAP['NumberOfReplyingHops']) @property def OutgoingLabelStack(self): """ Returns ------- - str: This signifies the information is sent to the MPLS-OAM module which is used for validation of FEC outgoing Label stack that is received in an echo request. """ return self._get_attribute(self._SDM_ATT_MAP['OutgoingLabelStack']) @property def Reachability(self): """ Returns ------- - str: This signifies whether the LSP is reachable with a proper return code or not. If the return code is not set to 3, in the received reply message or if there is no reply message that is received, then the field will show unreachable. """ return self._get_attribute(self._SDM_ATT_MAP['Reachability']) @property def SenderHandle(self): """ Returns ------- - number: This signifies the sender handle details. """ return self._get_attribute(self._SDM_ATT_MAP['SenderHandle']) def find(self, Fec=None, Hops=None, IncomingLabelStack=None, NumberOfReplyingHops=None, OutgoingLabelStack=None, Reachability=None, SenderHandle=None): """Finds and retrieves triggeredTracerouteLearnedInfo resources from the server. All named parameters are evaluated on the server using regex. The named parameters can be used to selectively retrieve triggeredTracerouteLearnedInfo resources from the server. To retrieve an exact match ensure the parameter value starts with ^ and ends with $ By default the find method takes no parameters and will retrieve all triggeredTracerouteLearnedInfo resources from the server. Args ---- - Fec (str): This signifies the FEC component. - Hops (str): This signifies the number of LSP hops. - IncomingLabelStack (str): This signifies the information is sent to the MPLS-OAM module which is used for validation of FEC stack received in an echo request. This is the assigned labels stack by the Ixia router and bfd/ping messages are expected to be received from DUT with this stack values. The outer value corresponds to the PSN Tunnel Label and the inner value corresponds to the PW label. - NumberOfReplyingHops (number): This signifies the total number of replying LSP hops. - OutgoingLabelStack (str): This signifies the information is sent to the MPLS-OAM module which is used for validation of FEC outgoing Label stack that is received in an echo request. - Reachability (str): This signifies whether the LSP is reachable with a proper return code or not. If the return code is not set to 3, in the received reply message or if there is no reply message that is received, then the field will show unreachable. - SenderHandle (number): This signifies the sender handle details. Returns ------- - self: This instance with matching triggeredTracerouteLearnedInfo resources retrieved from the server available through an iterator or index Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._select(self._map_locals(self._SDM_ATT_MAP, locals())) def read(self, href): """Retrieves a single instance of triggeredTracerouteLearnedInfo data from the server. Args ---- - href (str): An href to the instance to be retrieved Returns ------- - self: This instance with the triggeredTracerouteLearnedInfo resources from the server available through an iterator or index Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ return self._read(href)

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null

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null

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1

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1

0

2

29185856763e1bfd5209b8a437a2138073fa9716

1,779

py

Python

hrflow/hrflow/profile/__init__.py

Riminder/python-hrflow-api

5457c138c12689a1af08b243c15f3cbe898edf65

[ "MIT" ]

4

2020-04-01T15:16:04.000Z

2021-01-18T03:52:39.000Z

hrflow/hrflow/profile/__init__.py

Riminder/python-hrflow-api

5457c138c12689a1af08b243c15f3cbe898edf65

[ "MIT" ]

null

hrflow/hrflow/profile/__init__.py

Riminder/python-hrflow-api

5457c138c12689a1af08b243c15f3cbe898edf65

[ "MIT" ]

null

"""Profile related calls.""" from .attachment import ProfileAttachments from .parsing import ProfileParsing from .indexing import ProfileIndexing from .revealing import ProfileRevealing from .embedding import ProfileEmbedding from .searching import ProfileSearching from .scoring import ProfileScoring from .reasoning import ProfileReasoning class Profile(object): """ Class that interacts with hrflow API profiles endpoint. Usage example: >>> from hrflow.hrflow import hrflow >>> from hrflow import Profile >>> client = client(api_key="YOUR_API_KEY") >>> profile = Profile(self.client) >>> result = profile.get_profiles(source_ids=["5823bc959983f7a5925a5356020e60d605e8c9b5"]) >>> print(result) { "code": 200, "message": "OK", "data": { "page": 1, "maxPage": 3, "count_profiles": 85, "profiles": [ { "profile_id": "215de6cb5099f4895149ec0a6ac91be94ffdd246", "profile_reference": "49583", ... """ def __init__(self, client): """ Initialize Profile object with hrflow client. Args: client: hrflow client instance <hrflow object> Returns Profile instance object. """ self.client = client self.attachment = ProfileAttachments(self.client) self.parsing = ProfileParsing(self.client) self.indexing = ProfileIndexing(self.client) self.embedding = ProfileEmbedding(self.client) self.revealing = ProfileRevealing(self.client) self.scoring = ProfileScoring(self.client) self.searching = ProfileSearching(self.client) self.reasoning = ProfileReasoning(self.client)

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null

0

1

0

1

0

2

291b2893cd65284844b44b6f8aedf27f7e0f86c8

2,543

py

Python

day5/day5.py

martinpeck/advent-of-code-2019

12e80432b17a6ff695a38316245268f6c70d07d5

[ "MIT" ]

null

day5/day5.py

martinpeck/advent-of-code-2019

12e80432b17a6ff695a38316245268f6c70d07d5

[ "MIT" ]

null

day5/day5.py

martinpeck/advent-of-code-2019

12e80432b17a6ff695a38316245268f6c70d07d5

[ "MIT" ]

null

from itertools import product def load_instructions(filename): with open(filename, "r") as file: line = file.readline() return parse_instructions(line) def parse_instructions(instructions_as_string): return list(map(int, instructions_as_string.split(","))) def get_next_instruction(instructions, instruction_pointer): instruction = instructions[instruction_pointer] return instruction def run_program(instructions, input_value): instruction_pointer = 0 while True: instruction = get_next_instruction(instructions, instruction_pointer) if instruction == 99: break elif instruction == 1: instruction_pointer += 1 location = instructions[instruction_pointer] first_number = instructions[location] instruction_pointer += 1 location = instructions[instruction_pointer] second_number = instructions[location] instruction_pointer += 1 location = instructions[instruction_pointer] instructions[location] = first_number + second_number instruction_pointer += 1 elif instruction == 2: instruction_pointer += 1 location = instructions[instruction_pointer] first_number = instructions[location] instruction_pointer += 1 location = instructions[instruction_pointer] second_number = instructions[location] instruction_pointer += 1 location = instructions[instruction_pointer] instructions[location] = first_number * second_number instruction_pointer += 1 elif instruction == 3: instruction_pointer += 1 location = instructions[instruction_pointer] instructions[location] = input_value elif instruction == 4: instruction_pointer += 1 location = instructions[instruction_pointer] output_value = instructions[location] else: raise Exception(f"Unexpected OpCode [{instruction}]") return output_value def solve_part1(): input_value = 1 instructions = load_instructions(filename="input.txt") result = run_program(instructions, input_value) return result[0] def solve_part2(): pass def solve_all(): print(f"*** {__file__} ***") print(f"Solution to part 1: {solve_part1()}") print(f"Solution to part 2: {solve_part2()}") if __name__ == "__main__": solve_all()

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0

null

1

0

null

0

2

292a15ea81c8a34f758d90779be06afccbb5d66a

615

py

Python

smarthome/things.py

andvikt/mqtt_decorator

36bf76d3d6fa548172db32cdf002d68c96c7a535

[ "BSD-2-Clause" ]

null

smarthome/things.py

andvikt/mqtt_decorator

36bf76d3d6fa548172db32cdf002d68c96c7a535

[ "BSD-2-Clause" ]

null

smarthome/things.py

andvikt/mqtt_decorator

36bf76d3d6fa548172db32cdf002d68c96c7a535

[ "BSD-2-Clause" ]

null

from .core import state from .utils.converters import str_to_bool from .thing import Thing from .state import State import attr class Switch(Thing): root = 'switch' is_on: State = state(False, converter=str_to_bool) class Dimmer(Thing): root = 'dimmer' dim_level: State = state(0, int) class Number(Thing): root = 'number' value: State = state(0, int) class String(Thing): root = 'string' value: State = state(0, str) class Button(Thing): root = 'button' value: State = state(0, int) class Temperature(Thing): root = 'temp' value: State = state(0, float)

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null

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1

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null

0

1

0

2

29307ed2646e5f315e990593182cc80a240a6151

254

py

Python

configs/diseased/resnet50_diseased.py

jiangwenj02/mmclassification

4c3657c16f370ace9013b160aa054c87fd27a055

[ "Apache-2.0" ]

null

configs/diseased/resnet50_diseased.py

jiangwenj02/mmclassification

4c3657c16f370ace9013b160aa054c87fd27a055

[ "Apache-2.0" ]

null

configs/diseased/resnet50_diseased.py

jiangwenj02/mmclassification

4c3657c16f370ace9013b160aa054c87fd27a055

[ "Apache-2.0" ]

null

_base_ = [ '../_base_/models/resnest50.py', '../_base_/datasets/diseased_bs32_pil_resize.py', '../_base_/schedules/imagenet_bs256_coslr.py', '../_base_/default_runtime.py' ] model = dict( head=dict( num_classes=2, topk=(1,)) )

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254

4.709677

0.741935

0.123288

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254

9

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0

null

0

1

0

1

null

0

2

293ce9ba28add674ea78b24b687d099771268258

510

py

Python

tests/web/login.py

happz/settlers

961a6d2121ab6e89106f17017f026c60c77f16f9

[ "MIT" ]

1

2018-11-16T09:41:31.000Z

tests/web/login.py

happz/settlers

961a6d2121ab6e89106f17017f026c60c77f16f9

[ "MIT" ]

15

2015-01-07T14:17:36.000Z

2019-04-29T13:26:43.000Z

tests/web/login.py

happz/settlers

961a6d2121ab6e89106f17017f026c60c77f16f9

[ "MIT" ]

null

from tests.web import * class TestCase(WebTestCase): @classmethod def setup_class(cls): super(TestCase, cls).setup_class() cls._appserver = tests.appserver.AppServer(*tests.appserver.AppServer.fetch_config('default_appserver')) cls._appserver.start() @classmethod def teardown_class(cls): if cls._appserver: cls._appserver.stop() super(TestCase, cls).teardown_class() def test_login(self): self.login() @requires_login def test_logout(self): self.logout()

21.25

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510

5.66129

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0.164706

510

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null

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null

0

1

0

2

294c524c48c9552c666fbc7ff01b04d6b3d2431c

1,269

py

Python

scripts/gen_atan_lut.py

appotry/openofdm

0ab83ce22385c132f055ef85dcbcea8eeffd77f0

[ "Apache-2.0" ]

200

2017-05-03T19:17:11.000Z

2022-03-22T00:19:50.000Z

scripts/gen_atan_lut.py

jools76/openofdm

229da948ae4df55fb3b6d9a055ca3e75079e50b1

[ "Apache-2.0" ]

8

2018-05-08T12:01:56.000Z

2021-12-09T13:54:44.000Z

scripts/gen_atan_lut.py

jools76/openofdm

229da948ae4df55fb3b6d9a055ca3e75079e50b1

[ "Apache-2.0" ]

78

2017-05-12T09:36:17.000Z

2022-03-28T14:38:07.000Z

#!/usr/bin/env python """ Generate atan Look Up Table (LUT) Key = math.tan(phase)*SIZE -- phase \in [0, math.pi/4) Value = int(math.atan(phase)*SIZE*2) SIZE is LUT size. The value is scaled up by SIZE*2 so that adjacent LUT values can be distinguished. """ SIZE = 2**8 SCALE = 512 import argparse import math import os def main(): parser = argparse.ArgumentParser() parser.add_argument('--out') args = parser.parse_args() if args.out is None: args.out = os.path.join(os.getcwd(), 'atan_lut.mif') coe_out = '%s.coe' % (os.path.splitext(args.out)[0]) data = [] with open(args.out, 'w') as f: for i in range(SIZE): key = float(i)/SIZE val = int(round(math.atan(key)*SCALE)) data.append(val) print '%f -> %d' % (key, val) f.write('{0:09b}\n'.format(val)) print "LUT SIZE %d, SCALE %d" % (SIZE, SCALE) print "MIL file saved as %s" % (args.out) with open(coe_out, 'w') as f: f.write('memory_initialization_radix=2;\n') f.write('memory_initialization_vector=\n') f.write(',\n'.join(['{0:09b}'.format(l) for l in data])) f.write(';') print "COE file saved as %s" % (coe_out) if __name__ == '__main__': main()

24.882353

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3.651515

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50

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null

0

1

0

2

2950f908a4bd8cde4273538f53eb7bb4f191bae3

704

py

Python

tests/integration/modules/test_rabbitmq.py

byteskeptical/salt

637fe0b04f38b2274191b005d73b3c6707d7f400

[ "Apache-2.0" ]

12

2015-01-21T00:18:25.000Z

2021-07-11T07:35:26.000Z

tests/integration/modules/test_rabbitmq.py

byteskeptical/salt

637fe0b04f38b2274191b005d73b3c6707d7f400

[ "Apache-2.0" ]

86

2017-01-27T11:54:46.000Z

2020-05-20T06:25:26.000Z

tests/integration/modules/test_rabbitmq.py

byteskeptical/salt

637fe0b04f38b2274191b005d73b3c6707d7f400

[ "Apache-2.0" ]

12

2015-01-05T09:50:42.000Z

2019-08-19T01:43:40.000Z

# -*- coding: utf-8 -*- # Import python libs from __future__ import absolute_import, unicode_literals, print_function # Import Salt Testing libs from tests.support.case import ModuleCase from tests.support.helpers import requires_salt_modules, skip_if_not_root @skip_if_not_root @requires_salt_modules('rabbitmq') class RabbitModuleTest(ModuleCase): ''' Validates the rabbitmqctl functions. To run these tests, you will need to be able to access the rabbitmqctl commands. ''' def test_user_exists(self): ''' Find out whether a user exists. ''' ret = self.run_function('rabbitmq.user_exists', ['null_user']) self.assertEqual(ret, False)

28.16

74

0.715909

91

704

5.296703

0.615385

0.062241

0.06639

0.053942

0

0.001767

0.196023

704

24

75

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0.111111

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0

0.333333

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0.555556

0.111111

0

null

0

null

0

1

0

1

0

2

295e7e6b3307507d1c9d23f65eca1dede83057e9

242

py

Python

blog-api/apps/blog/api_views.py

djangocali/blog-api

b2ccf1da0ed67261d69d58f0a64032a81f1e4c07

[ "BSD-3-Clause" ]

1

2018-09-26T20:34:15.000Z

blog-api/apps/blog/api_views.py

djangocali/blog-api

b2ccf1da0ed67261d69d58f0a64032a81f1e4c07

[ "BSD-3-Clause" ]

6

2020-06-05T18:43:57.000Z

2022-01-13T00:48:59.000Z

blog-api/apps/blog/api_views.py

djangocali/blog-api

b2ccf1da0ed67261d69d58f0a64032a81f1e4c07

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from rest_framework import viewsets from .models import Post from .serializers import PostSerializer class PostViewSet(viewsets.ModelViewSet): queryset = Post.objects.all() serializer_class = PostSerializer

22

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0.764463

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242

6.777778

0.703704

0

0.004854

0.14876

242

10

42

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1

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1

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1

0

null

0

null

0

1

0

2

296d26ee69cfdaceca54cb407ffd178302f78c7f

451

py

Python

server/api/elections.py

jeffreymanzione/website

0dea8aeedfc5e1e569c7efd60d19d9861961b3af

[ "MIT" ]

null

server/api/elections.py

jeffreymanzione/website

0dea8aeedfc5e1e569c7efd60d19d9861961b3af

[ "MIT" ]

null

server/api/elections.py

jeffreymanzione/website

0dea8aeedfc5e1e569c7efd60d19d9861961b3af

[ "MIT" ]

null

import json import logging from flask import Response, request from .api import Api TABLE_NAME = 'ElectionPredictions' LIST_QUERY = 'SELECT * FROM {table_name};'.format(table_name=TABLE_NAME) class ElectionsApi(Api): def __init__(self, app, database): super().__init__(app, database) self.register_method(self._list_election_predictions, 'list') def _list_election_predictions(self): return self.select(LIST_QUERY)

26.529412

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0.333333

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0

null

0

null

0

1

0

1

0

2

297403ffc6b74b69fc1063192e2700430b5d60d3

869

py

Python

Python/randomPasswordGenerator.py

saanyalall/Hacktoberfest2021-2

3b9aea4ff320976e7c2bcb85f5265be87b0c33be

[ "MIT" ]

null

Python/randomPasswordGenerator.py

saanyalall/Hacktoberfest2021-2

3b9aea4ff320976e7c2bcb85f5265be87b0c33be

[ "MIT" ]

null

Python/randomPasswordGenerator.py

saanyalall/Hacktoberfest2021-2

3b9aea4ff320976e7c2bcb85f5265be87b0c33be

[ "MIT" ]

null

# import the necessary modules i-e random and string import random import string print("----------- !!! RANDOM PASSWORD GENERATOR !!! -----------") # input length of password to generate inputLength = int(input("Enter the length of password to generate: ")) #define the password characters lowercase = string.ascii_lowercase uppercase = string.ascii_uppercase numbers = string.digits special_characters = string.punctuation #combine all the data allCharacters = lowercase + uppercase + numbers + special_characters #use random to randomly pick characters from allCharacters of inputLength temp = random.sample(allCharacters, inputLength) #create the password using join on temp password = ''.join(temp) #print the required password print(f"Here is a password of length {inputLength}: \n{password}\n----------------------------------------------------------")

31.035714

126

0.710012

103

869

5.951456

0.475728

0.026101

0.052202

0.058728

0.084829

0

0.128884

869

27

127

32.185185

0.809775

0.316456

0

1

0

0.367521

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0

1

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false

0.333333

0.166667

0

0.166667

0

null

0

1

0

null

0

1

0

2

29795adac0a47cb3cf12f1baddda67163604f8fd

1,700

py

Python

StockAnalysisSystem/service/interface/analysis_result_page_generator.py

lifg2000/StockAnalysisSystem

b0bef50f5c1a9565e1a1f953fedbe7821601147c

[ "Apache-2.0" ]

null

StockAnalysisSystem/service/interface/analysis_result_page_generator.py

lifg2000/StockAnalysisSystem

b0bef50f5c1a9565e1a1f953fedbe7821601147c

[ "Apache-2.0" ]

null

StockAnalysisSystem/service/interface/analysis_result_page_generator.py

lifg2000/StockAnalysisSystem

b0bef50f5c1a9565e1a1f953fedbe7821601147c

[ "Apache-2.0" ]

null

import json import traceback from StockAnalysisSystem.core.config import Config import StockAnalysisSystem.core.Utiltity.AnalyzerUtility as analyzer_util def generate_result_page(result_path: str, name_dict_path: str, generate_sample: bool = False): try: print('Loading analyzer name table...') with open(name_dict_path, 'rt') as f: analyzer_name_dict = json.load(f) print('Load analyzer name table done.') except Exception as e: print('Load analyzer name table fail.') print(e) print(traceback.format_exc()) finally: pass try: with open(result_path, 'rt') as f: print('Loading analysis result...') analysis_result = analyzer_util.analysis_results_from_json(f) print('Convert analysis result...') security_analyzer_table = analyzer_util.analysis_result_list_to_security_analyzer_table(analysis_result) print('Parsing analysis result...') for security, analyzer_result in security_analyzer_table: pass ANALYSIS_RESULT_DATAFRAME = { k.replace('.SZSE', '').replace('.SSE', ''): analyzer_util.analyzer_table_to_dataframe(v).rename(columns=ANALYZER_NAME_DICT) for k, v in security_analyzer_table.items()} print('Converting to html...') ANALYSIS_RESULT_HTML = {k: v.to_html(index=True) for k, v in ANALYSIS_RESULT_DATAFRAME.items()} print('Load analysis result done.') except Exception as e: print('Load analysis result fail.') print(e) print(traceback.format_exc()) finally: pass

38.636364

116

0.644706

200

1,700

5.245

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0.080076

0.017159

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0.083889

0

0.261176

1,700

44

117

38.636364

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1

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false

0.078947

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0

0.131579

0.342105

0

null

0

1

0

null

0

1

0

2

4622017f050dc0ac5c1f1199ff79c08fa922c226

337

py

Python

tests/examples/test_HybridTut.py

adamjhn/netpyne

b9e104645f11fe6688496b22cd4183f463e11adc

[ "MIT" ]

120

2015-12-29T08:30:08.000Z

2021-11-16T11:49:58.000Z

tests/examples/test_HybridTut.py

ericaygriffith/netpyne

d5745015755855a1214e25d6033d3685cccace0d

[ "MIT" ]

1,178

2020-06-21T16:52:57.000Z

2021-03-11T15:47:54.000Z

tests/examples/test_HybridTut.py

ericaygriffith/netpyne

d5745015755855a1214e25d6033d3685cccace0d

[ "MIT" ]

143

2016-01-09T17:51:43.000Z

2022-01-02T06:37:12.000Z

import pytest import os import sys if '-nogui' not in sys.argv: sys.argv.append('-nogui') from .utils import pkg_setup @pytest.mark.package_data(['examples/HybridTut/', '.']) class TestHybridTut: def test_run(self, pkg_setup): import HybridTut_run def test_export(self, pkg_setup): import HybridTut_export

21.0625

55

0.709199

47

337

4.914894

0.553191

0.103896

0.155844

0.233766

0

0.181009

337

15

56

22.466667

0.836957

0

0.094955

0

1

0.166667

false

0

0.5

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0.75

0

null

0

null

0

1

0

1

0

2

46309e26fe19ad43b78249e2f965eba106827b0c

593

py

Python

day06-2.py

RafaelOda/AdventOfCode2020

ef6d85f7557667df627f10d1a35a0fc30cc83d2c

[ "MIT" ]

null

day06-2.py

RafaelOda/AdventOfCode2020

ef6d85f7557667df627f10d1a35a0fc30cc83d2c

[ "MIT" ]

null

day06-2.py

RafaelOda/AdventOfCode2020

ef6d85f7557667df627f10d1a35a0fc30cc83d2c

[ "MIT" ]

null

# Day 06 - Part 2 print "Day 06 - Part 2" with open("./day06-input.txt") as f: content = f.read().splitlines() count_for_every_group = 0 group_answers = list() def count_for_current_group(): if not group_answers: return number_of_common_answers = len(group_answers[0].intersection(*group_answers[1:])) return number_of_common_answers for entry in content: if not entry: count_for_every_group += count_for_current_group() group_answers = list() else: group_answers.append(set(list(entry))) count_for_every_group += count_for_current_group() print count_for_every_group

19.129032

82

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93

593

4.483871

0.408602

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0.1247

0.172662

0.335731

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0.021484

0.136594

593

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null

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null

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0

null

0

1

0

null

0

1

0

2

463d8803328c272dc4e264adb7dc3c357dcfc4c7

585

py

Python

openpifpaf_posetrack/transforms/image.py

vita-epfl/openpifpaf_posetrack

282ba063450d523728637167420d9ade4d9c1e65

[ "MIT" ]

9

2021-03-04T04:47:27.000Z

2021-03-30T01:48:55.000Z

openpifpaf_posetrack/transforms/image.py

vita-epfl/openpifpaf_posetrack

282ba063450d523728637167420d9ade4d9c1e65

[ "MIT" ]

4

2021-03-16T03:24:27.000Z

2021-04-01T19:22:02.000Z

openpifpaf_posetrack/transforms/image.py

vita-epfl/openpifpaf_posetrack

282ba063450d523728637167420d9ade4d9c1e65

[ "MIT" ]

null

import logging import numpy as np import PIL import scipy import torch import openpifpaf LOG = logging.getLogger(__name__) class HorizontalBlur(openpifpaf.transforms.Preprocess): def __init__(self, sigma=5.0): self.sigma = sigma def __call__(self, image, anns, meta): im_np = np.asarray(image) sigma = self.sigma * (0.8 + 0.4 * float(torch.rand(1).item())) LOG.debug('horizontal blur with %f', sigma) im_np = scipy.ndimage.filters.gaussian_filter1d(im_np, sigma=sigma, axis=1) return PIL.Image.fromarray(im_np), anns, meta

25.434783

83

0.683761

83

585

4.614458

0.554217

0.041775

0

0.019272

0.201709

585

22

84

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0.800857

0

0.039316

0

1

0.125

false

0

0.375

0

0.625

0

null

0

null

0

1

0

1

0

2

4656fde2df896890c28db41ef2d1691bae482346

966

py

Python

rf_api_client/models/node_types_api_models.py

ashlanderr/rf_api_client

10821813a6dd0f33758100daee8bc9516e3f2077

[ "MIT" ]

null

rf_api_client/models/node_types_api_models.py

ashlanderr/rf_api_client

10821813a6dd0f33758100daee8bc9516e3f2077

[ "MIT" ]

null

rf_api_client/models/node_types_api_models.py

ashlanderr/rf_api_client

10821813a6dd0f33758100daee8bc9516e3f2077

[ "MIT" ]

null

from enum import Enum, unique from typing import List, Optional from pydantic import BaseModel @unique class NodePropertyType(int, Enum): INTEGER = 1, REAL = 2, BOOLEAN = 3, TEXT = 5, HTML = 6, DATE = 7, TIME = 8, DATETIME = 9, FILE = 10, USER = 11, ENUM = 12, class NodeTypePropertyOwner(str, Enum): node_type = 'node_type' # todo find out all values class NodeTypePropertyIcon(BaseModel): img: str text: str class NodeTypePropertyDto(BaseModel): name: str owner_id: str owner_type: NodeTypePropertyOwner position: int type_id: NodePropertyType default_value: str icons: List[NodeTypePropertyIcon] multivalued: bool displayable: bool as_icon: bool class NodeTypeDto(BaseModel): id: str map_id: str name: str icon: Optional[str] displayable: bool default_child_node_type_id: Optional[str] properties: List[NodeTypePropertyDto]

18.226415

45

0.669772

115

966

5.521739

0.530435

0.037795

0

0.019444

0.254658

966

52

46

18.576923

0.8625

0.024845

0

0.1

0

0.009574

0

0.019231

0

1

0

false

0

0.075

0

0.975

0

null

0

null

0

1

0

1

0

2

4669108c811ab78987cc45d1ffeffe39fbd7bca4

446

py

Python

server/src/weaverbird/pipeline/steps/utils/base.py

JeremyJacquemont/weaverbird

e04ab6f9c8381986ab71078e5199ece7a875e743

[ "BSD-3-Clause" ]

54

2019-11-20T15:07:39.000Z

2022-03-24T22:13:51.000Z

server/src/weaverbird/pipeline/steps/utils/base.py

JeremyJacquemont/weaverbird

e04ab6f9c8381986ab71078e5199ece7a875e743

[ "BSD-3-Clause" ]

786

2019-10-20T11:48:37.000Z

2022-03-23T08:58:18.000Z

server/src/weaverbird/pipeline/steps/utils/base.py

JeremyJacquemont/weaverbird

e04ab6f9c8381986ab71078e5199ece7a875e743

[ "BSD-3-Clause" ]

10

2019-11-21T10:16:16.000Z

2022-03-21T10:34:06.000Z

from typing import Dict from pydantic.main import BaseModel from weaverbird.pipeline.types import PopulatedWithFieldnames class BaseStep(BaseModel): name: str class Config(PopulatedWithFieldnames): extra = 'forbid' # None values are excluded, to avoid triggering validations error in front-ends def dict(self, *, exclude_none: bool = True, **kwargs) -> Dict: return super().dict(exclude_none=True, **kwargs)

26.235294

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0

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0

0.016349

0

1

0.111111

false

0

0.333333

0.111111

0.888889

0

null

0

null

0

1

0

2

466e503276d8ad074434dfa8d415e3214116b9af

10,459

py

Python

dimredu/lib/minNDRSD.py

Marissa4/RPyCA

e3c229361a4cd9ddd53accc5541b7c8b5f8939e0

[ "MIT" ]

null

dimredu/lib/minNDRSD.py

Marissa4/RPyCA

e3c229361a4cd9ddd53accc5541b7c8b5f8939e0

[ "MIT" ]

null

dimredu/lib/minNDRSD.py

Marissa4/RPyCA

e3c229361a4cd9ddd53accc5541b7c8b5f8939e0

[ "MIT" ]

null

#! /usr/bin/env python import numpy as np from dimredu.lib.shrink import shrink from numba import jit def minNDRSD(A, Yt, Yb, E, mu, hasWeave=True, debug=False, guess=None): """Compute a fast minimization of shrinkage plus Frobenius norm. The is computes the minium of the following objective. .. math:: \arg \min_{S_D} \frac{\mu}{2} \Big \| \frac{1}{\mu} Y_t + \mathcal{S}_{\boldsymbol \epsilon}( P_{\Omega} ( S_D ) ) \Big \|_F^2 + \\ \frac{\mu}{2} \Big \| \frac{1}{\mu} Y_t + P_{\Omega}(M_D) - (P_{\Omega}(D(L_G)) + P_{\Omega}(S_D)) \Big \|_F^2 Args: A: A numpy array. Yt, Yb: Numpy arrays of Lagrange multipliers. E: A numpy array of error bounds. mu: The value of :math:`\mu`. Returns: The value of :math:`S` that achieves the minimum. """ assert len(A.shape) == 1, 'A can only be a vector' assert A.shape == E.shape, 'A and E have to have the same size' assert A.shape == Yt.shape, 'A and Yt have to have the same size' assert A.shape == Yb.shape, 'A and Yb have to have the same size' # Note, while the derivative is always zero when you use the # formula below, it is only a minimum if the second derivative is # positive. The second derivative happens positive if and only # \mu is positive. assert mu >= 0., 'mu must be >= 0' mu = float(mu) #################################### # DEBUG ############################ if debug and (guess is not None): before = objective(guess, A, Yt, Yb, E, mu) # DEBUG ############################ #################################### S = np.zeros(A.shape) _worker(A, Yt, E, Yb, mu, S) #################################### # DEBUG ############################ if debug and (guess is not None): after = objective(S, A, Yt, Yb, E, mu) assert before / after + 1e-7 >= 1., 'minNDRSD went up!' # DEBUG ############################ #################################### return S @jit(nopython=True, cache=True) def _worker(A, Yt, E, Yb, mu, S): for i in range(len(A)): if (1. / (2. * mu)) * (Yt[i] - mu * E[i] + Yb[i] + mu * A[i]) < -E[i]: S[i] = (1. / (2. * mu)) * \ (Yt[i] - mu * E[i] + Yb[i] + mu * A[i]) elif ((-E[i] < (1. / mu) * (Yb[i] + mu * A[i])) and ((1 / mu) * (Yb[i] + mu * A[i]) < E[i])): S[i] = (1. / mu) * (Yb[i] + mu * A[i]) elif E[i] < (1. / (2. * mu)) * (-Yt[i] + mu * E[i] + Yb[i] + mu * A[i]): S[i] = (1. / (2. * mu)) * (-Yt[i] + mu * E[i] + Yb[i] + mu * A[i]) else: term1 = (1. / mu) * Yt[i] term2 = (1. / mu) * Yb[i] + A[i] - E[i] term3 = (1. / mu) * Yb[i] + A[i] + E[i] Sp = (mu / 2.) * (term1 * term1 + term2 * term2) Sm = (mu / 2.) * (term1 * term1 + term3 * term3) if Sp < Sm: S[i] = E[i] else: S[i] = -E[i] def objective(S, A, Yt, Yb, E, mu): temp1 = (mu / 2.) * np.linalg.norm((1. / mu) * Yt + np.abs(shrink(E, S)))**2 temp2 = (mu / 2.) * np.linalg.norm((1. / mu) * Yb + A - S)**2 return temp1 + temp2 def data(which): # Test data sets including those that given problems before. if which == 'problem1': SOrig = np.array([-0.00000e+00, -6.44347e-02, 1.46198e-01, 4.89326e+00, 4.86620e+00, -6.44347e-02, -5.20417e-18, -1.38359e-02, 3.11687e-01, 5.01579e+00, 1.46198e-01, -1.38359e-02, -0.00000e+00, -7.29722e-02, 4.96465e+00, 4.89326e+00, 3.11687e-01, -7.29722e-02, -5.20417e-18, 4.20675e-02, 4.86620e+00, 5.01579e+00, 4.96465e+00, 4.20675e-02, -0.00000e+00]) A = np.array([1.38778e-17, -1.36229e-01, -1.51878e-01, 4.80873e+00, 4.81636e+00, -1.36229e-01, -2.77556e-17, -1.46025e-01, 1.02459e-01, 5.02334e+00, -1.51878e-01, -1.46025e-01, -1.38778e-17, -2.02653e-01, 4.93558e+00, 4.80873e+00, 1.02459e-01, -2.02653e-01, -1.38778e-17, -6.61490e-02, 4.81636e+00, 5.02334e+00, 4.93558e+00, -6.61490e-02, -6.93889e-18]) Yt = np.array([0.00000e+00, 3.96973e-02, 1.39967e+00, 0.00000e+00, 0.00000e+00, 3.96973e-02, 4.99255e-18, 3.85058e-01, 1.52151e+00, 6.40735e-02, 1.39967e+00, 3.85058e-01, 2.49628e-18, 3.01137e-01, 8.15302e-03, 0.00000e+00, 1.52151e+00, 3.01137e-01, -1.49777e-17, 7.58762e-01, 0.00000e+00, 6.40735e-02, 8.15302e-03, 7.58762e-01, 0.00000e+00]) Yb = np.array([0.00000e+00, 3.96973e-02, 1.39967e+00, 0.00000e+00, 0.00000e+00, 3.96973e-02, 4.99255e-18, 3.85058e-01, 1.20474e+00, 6.40735e-02, 1.39967e+00, 3.85058e-01, 2.49628e-18, 3.01137e-01, 0.00000e+00, 0.00000e+00, 1.20474e+00, 3.01137e-01, -1.49777e-17, 6.40717e-01, 0.00000e+00, 6.40735e-02, 0.00000e+00, 6.40717e-01, 0.00000e+00]) E = np.array([0.00000e+00, 4.32591e-03, 9.95856e-02, 5.00000e+00, 5.00000e+00, 4.32591e-03, 0.00000e+00, 7.57776e-03, 3.11687e-01, 5.00000e+00, 9.95856e-02, 7.57776e-03, 0.00000e+00, 1.73463e-02, 5.00000e+00, 5.00000e+00, 3.11687e-01, 1.73463e-02, 0.00000e+00, 4.20675e-02, 5.00000e+00, 5.00000e+00, 5.00000e+00, 4.20675e-02, 0.00000e+00]) mu = 2.8780102048 return A, Yt, Yb, E, mu if which == 'problem2': A = np.array([0., 0.15854, 0.71644, 5., 5., 0.15854, 0., 0.20875, 1.19954, 5., 0.71644, 0.20875, 0., 0.31242, 5., 5., 1.19954, 0.31242, 0., 0.47801, 5., 5., 5., 0.47801, 0.]) Yt = np.array([0., 0.00741, 0.02558, 0., 0., 0.00741, 0., 0.00957, 0.02849, 0., 0.02558, 0.00957, 0., 0.01373, 0., 0., 0.02849, 0.01373, 0., 0.01947, 0., 0., 0., 0.01947, 0.]) Yb = np.array([0., 0.00784, 0.03542, 0., 0., 0.00784, 0., 0.01032, 0.05931, 0., 0.03542, 0.01032, 0., 0.01545, 0., 0., 0.05931, 0.01545, 0., 0.02363, 0., 0., 0., 0.02363, 0.]) E = np.array([0.00000e+00, 4.32591e-03, 9.95856e-02, 5.00000e+00, 5.00000e+00, 4.32591e-03, 0.00000e+00, 7.57776e-03, 3.11687e-01, 5.00000e+00, 9.95856e-02, 7.57776e-03, 0.00000e+00, 1.73463e-02, 5.00000e+00, 5.00000e+00, 3.11687e-01, 1.73463e-02, 0.00000e+00, 4.20675e-02, 5.00000e+00, 5.00000e+00, 5.00000e+00, 4.20675e-02, 0.00000e+00]) mu = 0.304172303889 return A, Yt, Yb, E, mu if which == 'randomNormal': np.random.seed(1234) A = np.random.normal(size=[5]) Yt = np.random.normal(size=A.shape) Yb = np.random.normal(size=A.shape) E = np.ones(A.shape) * 1e-1 mu = 0.1 return A, Yt, Yb, E, mu if which == 'simple': A = np.array([1]) Yt = np.array([2]) Yb = np.array([3]) E = np.array([4]) mu = np.array([5]) return A, Yt, Yb, E, mu data.sets = ['problem1', 'problem2', 'randomNormal', 'simple'] def plot_objective(): A, Yt, Yb, E, mu = data('randomNormal') print() print('A, Yt, Yb, E, mu') print(A, Yt, Yb, E, mu) Smin = minNDRSD(A, Yt, Yb, E, mu, hasWeave=True) print('Smin') print(Smin) SminObj = objective(Smin, A, Yt, Yb, E, mu) print('Should be smallest', SminObj) print('random') for i in range(5): perturb = np.random.normal(size=A.shape) * 1e-2 print(perturb) pObj = objective(Smin + perturb, A, Yt, Yb, E, mu) print(pObj) assert SminObj <= pObj X = [] Y = [] print('linear') perturb = np.random.normal(A.shape) for s in np.linspace(-1e+1, +1e+1, 100): pObj = objective(Smin + perturb * s, A, Yt, Yb, E, mu) X.append(s) Y.append(pObj) import matplotlib.pylab as py py.figure(1) py.plot(X, Y) py.show() def test_minNDRSD(): A, Yt, Yb, E, mu = data('randomNormal') print() print('A, Yt, Yb, E, mu') print(A, Yt, Yb, E, mu) Smin = minNDRSD(A, Yt, Yb, E, mu, hasWeave=True) print('Smin') print(Smin) SminObj = objective(Smin, A, Yt, Yb, E, mu) print('Should be smallest', SminObj) for i in range(10): # This should be smaller that E, otherwise the objective # is flat. perturb = np.random.normal(size=A.shape) * 1e-3 pObj = objective(Smin + perturb, A, Yt, Yb, E, mu) print(pObj) assert SminObj <= pObj def test_minNDRSD2(): for hasWeave in [True, False]: for which in data.sets: A, Yt, Yb, E, mu = data(which) print() print('A, Yt, Yb, E, mu') print(A, Yt, Yb, E, mu) Smin = minNDRSD(A, Yt, Yb, E, mu, hasWeave=hasWeave, debug=True, guess=np.random.normal(size=A.shape)) print('Smin') print(Smin) SminObj = objective(Smin, A, Yt, Yb, E, mu) print('Should be smallest', SminObj) for i in range(10): # This should be smaller that E, otherwise the objective # is flat. perturb = np.random.normal(size=A.shape) * 1e-3 pObj = objective(Smin + perturb, A, Yt, Yb, E, mu) print(pObj) assert SminObj <= pObj if __name__ == '__main__': test_minNDRSD() test_minNDRSD2() # plot_objective()

39.768061

84

0.460082

1,524

10,459

3.137139

0.16273

0.071951

0.028237

0.033884

0.512654

0.505124

0.461619

0.413303

0.368751

0.343024

0

0.232286

0.355005

10,459

262

85

39.919847

0.47643

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null

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0

1

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null

0

2

4676f49d596b3b47d1b447041adcbf9b2c941976

1,079

py

Python

tests/test_issues/output/issue_tccm/minimalmodel.py

hsolbrig/biolinkml

e93cfd547800beec897dd3d03c277b3b1eabe78a

[ "CC0-1.0" ]

null

tests/test_issues/output/issue_tccm/minimalmodel.py

hsolbrig/biolinkml

e93cfd547800beec897dd3d03c277b3b1eabe78a

[ "CC0-1.0" ]

null

tests/test_issues/output/issue_tccm/minimalmodel.py

hsolbrig/biolinkml

e93cfd547800beec897dd3d03c277b3b1eabe78a

[ "CC0-1.0" ]

null

# id: https://hotecosystem.org/tccm/prefixes # description: # license: import dataclasses import sys from typing import Optional, List, Union, Dict, ClassVar, Any from dataclasses import dataclass from biolinkml.utils.slot import Slot from biolinkml.utils.metamodelcore import empty_list, empty_dict, bnode from biolinkml.utils.yamlutils import YAMLRoot, extended_str, extended_float, extended_int if sys.version_info < (3, 7, 6): from biolinkml.utils.dataclass_extensions_375 import dataclasses_init_fn_with_kwargs else: from biolinkml.utils.dataclass_extensions_376 import dataclasses_init_fn_with_kwargs from biolinkml.utils.formatutils import camelcase, underscore, sfx from rdflib import Namespace, URIRef from biolinkml.utils.curienamespace import CurieNamespace metamodel_version = "1.5.3" # Overwrite dataclasses _init_fn to add **kwargs in __init__ dataclasses._init_fn = dataclasses_init_fn_with_kwargs # Namespaces DEFAULT_ = CurieNamespace('', 'https://hotecosystem.org/tccm/prefixes/') # Types # Class references # Slots class slots: pass

25.093023

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0.809082

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1,079

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0

null

0

null

0

1

0

2

467d2164ba62d3a8b0633a2e68664b7026426de2

3,072

py

Python

tests/phase0/block_processing/test_process_proposer_slashing.py

CarlBeek/eth2.0-specs

86ea525dbd5c2785221d5176eeb0005962753068

[ "CC0-1.0" ]

2

2021-02-26T11:49:09.000Z

2021-02-26T12:16:47.000Z

tests/phase0/block_processing/test_process_proposer_slashing.py

JSON/eth2.0-specs

2baa242ac004b0475604c4c4ef4315e14f56c5c7

[ "CC0-1.0" ]

null

tests/phase0/block_processing/test_process_proposer_slashing.py

JSON/eth2.0-specs

2baa242ac004b0475604c4c4ef4315e14f56c5c7

[ "CC0-1.0" ]

null

from copy import deepcopy import pytest import build.phase0.spec as spec from build.phase0.spec import ( get_balance, get_current_epoch, process_proposer_slashing, ) from tests.phase0.helpers import ( get_valid_proposer_slashing, ) # mark entire file as 'header' pytestmark = pytest.mark.proposer_slashings def run_proposer_slashing_processing(state, proposer_slashing, valid=True): """ Run ``process_proposer_slashing`` returning the pre and post state. If ``valid == False``, run expecting ``AssertionError`` """ post_state = deepcopy(state) if not valid: with pytest.raises(AssertionError): process_proposer_slashing(post_state, proposer_slashing) return state, None process_proposer_slashing(post_state, proposer_slashing) slashed_validator = post_state.validator_registry[proposer_slashing.proposer_index] assert not slashed_validator.initiated_exit assert slashed_validator.slashed assert slashed_validator.exit_epoch < spec.FAR_FUTURE_EPOCH assert slashed_validator.withdrawable_epoch < spec.FAR_FUTURE_EPOCH # lost whistleblower reward assert ( get_balance(post_state, proposer_slashing.proposer_index) < get_balance(state, proposer_slashing.proposer_index) ) return state, post_state def test_success(state): proposer_slashing = get_valid_proposer_slashing(state) pre_state, post_state = run_proposer_slashing_processing(state, proposer_slashing) return pre_state, proposer_slashing, post_state def test_epochs_are_different(state): proposer_slashing = get_valid_proposer_slashing(state) # set slots to be in different epochs proposer_slashing.header_2.slot += spec.SLOTS_PER_EPOCH pre_state, post_state = run_proposer_slashing_processing(state, proposer_slashing, False) return pre_state, proposer_slashing, post_state def test_headers_are_same(state): proposer_slashing = get_valid_proposer_slashing(state) # set headers to be the same proposer_slashing.header_2 = proposer_slashing.header_1 pre_state, post_state = run_proposer_slashing_processing(state, proposer_slashing, False) return pre_state, proposer_slashing, post_state def test_proposer_is_slashed(state): proposer_slashing = get_valid_proposer_slashing(state) # set proposer to slashed state.validator_registry[proposer_slashing.proposer_index].slashed = True pre_state, post_state = run_proposer_slashing_processing(state, proposer_slashing, False) return pre_state, proposer_slashing, post_state def test_proposer_is_withdrawn(state): proposer_slashing = get_valid_proposer_slashing(state) # set proposer withdrawable_epoch in past current_epoch = get_current_epoch(state) proposer_index = proposer_slashing.proposer_index state.validator_registry[proposer_index].withdrawable_epoch = current_epoch - 1 pre_state, post_state = run_proposer_slashing_processing(state, proposer_slashing, False) return pre_state, proposer_slashing, post_state

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null

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0

2

468c835f1beedbb09d51b57efd4e0554f9265bf5

8,556

py

Python

services/acservice/auth.py

Xavier-Cliquennois/ac-mediator

ce55b65ab7f4532fc11fbb2f994518c60240bfdc

[ "Apache-2.0" ]

9

2016-11-17T08:04:01.000Z

2020-09-10T05:58:36.000Z

services/acservice/auth.py

Xavier-Cliquennois/ac-mediator

ce55b65ab7f4532fc11fbb2f994518c60240bfdc

[ "Apache-2.0" ]

23

2016-10-26T14:43:55.000Z

2021-06-10T20:02:38.000Z

services/acservice/auth.py

Xavier-Cliquennois/ac-mediator

ce55b65ab7f4532fc11fbb2f994518c60240bfdc

[ "Apache-2.0" ]

3

2018-03-03T12:07:28.000Z

2020-08-02T12:54:31.000Z

from accounts.models import ServiceCredentials from ac_mediator.exceptions import * from django.core.urlresolvers import reverse from django.conf import settings import requests from services.acservice.constants import * class ACServiceAuthMixin(object): """ Mixin that stores service credentials and implements service linking steps. This mixin implements standard linking strategy for services that support Oauth2 authentication. Services with specific requirements should override the methods from this mixin. """ SUPPORTED_AUTH_METHODS = [APIKEY_AUTH_METHOD, ENDUSER_AUTH_METHOD] BASE_AUTHORIZE_URL = "http://example.com/api/authorize/?client_id={0}" ACCESS_TOKEN_URL = "http://example.com/api/oauth2/access_token/" REFRESH_TOKEN_URL = "http://example.com/api/oauth2/refresh_token/" service_client_id = None service_client_secret = None def conf_auth(self, config): if 'client_id' not in config: raise ImproperlyConfiguredACService('Missing item \'client_id\'') if 'client_secret' not in config: raise ImproperlyConfiguredACService('Missing item \'client_secret\'') self.set_credentials(config['client_id'], config['client_secret']) def set_credentials(self, client_id, client_secret): self.service_client_id = client_id self.service_client_secret = client_secret def get_authorize_url(self): return self.BASE_AUTHORIZE_URL.format(self.service_client_id) def get_redirect_uri(self): return settings.BASE_URL + reverse('link_service_callback', args=[self.id]) def access_token_request_data(self, authorization_code=None, refresh_token=None): data = {'client_id': self.service_client_id, 'client_secret': self.service_client_secret} if refresh_token is not None: # If refresh token is passed, renew using refresh token data.update({'grant_type': 'refresh_token', 'refresh_token': refresh_token}) else: # If no refresh token is passed, get access token using authorization code if authorization_code is None: raise ACException('Authorization code was not provided') data.update({'grant_type': 'authorization_code', 'code': authorization_code}) return data def request_access_token(self, authorization_code): return requests.post( self.ACCESS_TOKEN_URL, data=self.access_token_request_data(authorization_code=authorization_code) ) def renew_access_token(self, refresh_token): return requests.post( self.ACCESS_TOKEN_URL, data=self.access_token_request_data(refresh_token=refresh_token) ) def renew_credentials(self, credentials): r = self.renew_access_token(self.get_refresh_token_from_credentials(credentials)) return r.status_code == 200, r.json() def request_credentials(self, authorization_code): r = self.request_access_token(authorization_code) return r.status_code == 200, r.json() @staticmethod def get_authorize_popup_specs(): return 'height=400,width=500' @staticmethod def process_credentials(credentials_data): return credentials_data def supports_auth(self, auth_type): return auth_type in self.SUPPORTED_AUTH_METHODS def get_apikey(self): """ API key used for non-end user authenticated requests TODO: this should include the way in which the api key is included (via header, request param, etc) :return: string containing the api key """ if not self.supports_auth(APIKEY_AUTH_METHOD): raise ACException('Auth method \'{0}\' not supported by service {0}'.format(APIKEY_AUTH_METHOD, self.name)) return self.service_client_secret def get_enduser_token(self, account): """ Get token used to make requests to the service on behalf of 'account' TODO: this should include the way in which the token is included (via header, request param, etc) :param account: user account to act on behalf of :return: string containing the token """ if not self.supports_auth(ENDUSER_AUTH_METHOD): raise ACException('Auth method \'{0}\' not supported by service {1}'.format(ENDUSER_AUTH_METHOD, self.name)) try: service_credentials = ServiceCredentials.objects.get(account=account, service_id=self.id) if not self.check_credentials_are_valid(service_credentials): # Try to renew the credentials success, received_credentials = self.renew_credentials(service_credentials) if success: # Store credentials (replace existing ones if needed) service_credentials, is_new = ServiceCredentials.objects.get_or_create( account=account, service_id=self.id) service_credentials.credentials = received_credentials service_credentials.save() else: raise ACAPIInvalidCredentialsForService( 'Could not renew service credentials for {0}'.format(self.name)) return self.get_access_token_from_credentials(service_credentials) except ServiceCredentials.DoesNotExist: raise ACAPIInvalidCredentialsForService def check_credentials_are_valid(self, credentials): """ Check if the provided credentials are valid for a given service. This method should be overwritten by each individual service or it will always return True. :param credentials: credentials object as stored in ServiceCredentials entry """ return True def check_credentials_should_be_renewed_background(self, credentials): """ Check if the provided credentials for a given service should be renewed for new ones. For OAuth2 based services, this should be True when refresh token is about to expire but can be still set to False if only access token has expired (as the access token can be automatically renewed at request time if the refresh token is still valid). This method should be overwritten by each individual service or it will return the opposite value of `check_credentials_are_valid`. :param credentials: credentials object as stored in ServiceCredentials entry """ return not self.check_credentials_are_valid(credentials) def get_access_token_from_credentials(self, credentials): """ Return the access token from service credentials stored in ServiceCredentials object. This method should be overwritten by each individual service that uses access tokens. :param credentials: credentials object as stored in ServiceCredentials entry :return: access token extracted from the stored credentials """ return None def get_refresh_token_from_credentials(self, credentials): """ Return the refresh token from service credentials stored in ServiceCredentials object. This method should be overwritten by each individual service that uses access tokens. :param credentials: credentials object as stored in ServiceCredentials entry :return: refresh token extracted from the stored credentials """ return None def get_auth_info_for_request(self, auth_method, account=None): """ Return dictionary with information about how to authenticate a request. The dictionary can contain the following fields: - header: dictionary with header name and header contents (key, value) to be added to a request (including credentials). - params: dictionary with request paramer name and contents (key, value) to be added to a request (including credentials). An example for 'header': {'headers': {'Authorization': 'Token API_KEY'}'} An example for 'param': {'params': {'token': 'API_KEY'}} If both fields are included, both will be added when sending the request. :param auth_method: auth method for which information is wanted :param account: user account (for enduser authentication only) :return: dictionary with auth information """ raise NotImplementedError("Service must implement method ACServiceAuthMixin.get_auth_info_for_request")

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0.69612

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8,556

5.609329

0.208941

0.039501

0.017672

0.016632

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0.326403

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0.231116

0.209633

0.196812

0

0.003381

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null

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null

0

1

0

1

0

2

469c05d38421b43d8badf2ddd5f68d63a8af2222

1,218

py

Python

test/cc_test.py

shunsukeaihara/colorcorrect

ca609401cfa1ccd2d34c69faa1ee63973247618f

[ "MIT" ]

36

2017-11-23T18:41:54.000Z

2022-03-15T10:59:59.000Z

test/cc_test.py

shunsukeaihara/colorcorrect

ca609401cfa1ccd2d34c69faa1ee63973247618f

[ "MIT" ]

6

2017-10-23T08:07:53.000Z

2020-10-29T12:59:49.000Z

test/cc_test.py

shunsukeaihara/colorcorrect

ca609401cfa1ccd2d34c69faa1ee63973247618f

[ "MIT" ]

16

2017-10-20T19:27:27.000Z

2022-02-08T12:47:03.000Z

from PIL import Image from colorcorrect.algorithm import stretch, grey_world, retinex, retinex_with_adjust, max_white from colorcorrect.algorithm import standard_deviation_weighted_grey_world from colorcorrect.algorithm import standard_deviation_and_luminance_weighted_gray_world from colorcorrect.algorithm import automatic_color_equalization from colorcorrect.algorithm import luminance_weighted_gray_world from colorcorrect.util import from_pil, to_pil from unittest import TestCase class CCTestCase(TestCase): def setUp(self): self.img = Image.open("test/test_image.jpg") def tearDown(self): pass def test_all(self): to_pil(stretch(from_pil(self.img))) to_pil(grey_world(from_pil(self.img))) to_pil(retinex(from_pil(self.img))) to_pil(max_white(from_pil(self.img))) to_pil(retinex_with_adjust(retinex(from_pil(self.img)))) to_pil(standard_deviation_weighted_grey_world(from_pil(self.img), 20, 20)) to_pil(standard_deviation_and_luminance_weighted_gray_world(from_pil(self.img), 20, 20)) to_pil(luminance_weighted_gray_world(from_pil(self.img), 20, 20)) to_pil(automatic_color_equalization(from_pil(self.img)))

43.5

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null

0

null

0

1

0

1

0

2

469e1ffce0a5d1a2ea613851f39a75dc3b61a83f

3,745

py

Python

constants/countries.py

sutekina/osu-gulag

c5eed521dfae282cd0cf95d02017d0f9654ceb11

[ "MIT" ]

187

2020-07-27T18:59:35.000Z

2022-02-02T16:15:13.000Z

app/constants/countries.py

cmyui/gulag

ff3b39fb6304354694379c3f8cc74dfb73e670ce

[ "MIT" ]

119

2020-08-15T16:32:50.000Z

2022-02-02T05:19:55.000Z

constants/countries.py

AipNooBest/gulag

3af3c13da47e4ec9e97bf4302f8021e00d468903

[ "MIT" ]

123

2020-07-23T21:47:52.000Z

2022-02-05T13:59:32.000Z

__all__ = ("country_codes",) country_codes = { # talk about ugly lol "oc": 1, "eu": 2, "ad": 3, "ae": 4, "af": 5, "ag": 6, "ai": 7, "al": 8, "am": 9, "an": 10, "ao": 11, "aq": 12, "ar": 13, "as": 14, "at": 15, "au": 16, "aw": 17, "az": 18, "ba": 19, "bb": 20, "bd": 21, "be": 22, "bf": 23, "bg": 24, "bh": 25, "bi": 26, "bj": 27, "bm": 28, "bn": 29, "bo": 30, "br": 31, "bs": 32, "bt": 33, "bv": 34, "bw": 35, "by": 36, "bz": 37, "ca": 38, "cc": 39, "cd": 40, "cf": 41, "cg": 42, "ch": 43, "ci": 44, "ck": 45, "cl": 46, "cm": 47, "cn": 48, "co": 49, "cr": 50, "cu": 51, "cv": 52, "cx": 53, "cy": 54, "cz": 55, "de": 56, "dj": 57, "dk": 58, "dm": 59, "do": 60, "dz": 61, "ec": 62, "ee": 63, "eg": 64, "eh": 65, "er": 66, "es": 67, "et": 68, "fi": 69, "fj": 70, "fk": 71, "fm": 72, "fo": 73, "fr": 74, "fx": 75, "ga": 76, "gb": 77, "gd": 78, "ge": 79, "gf": 80, "gh": 81, "gi": 82, "gl": 83, "gm": 84, "gn": 85, "gp": 86, "gq": 87, "gr": 88, "gs": 89, "gt": 90, "gu": 91, "gw": 92, "gy": 93, "hk": 94, "hm": 95, "hn": 96, "hr": 97, "ht": 98, "hu": 99, "id": 100, "ie": 101, "il": 102, "in": 103, "io": 104, "iq": 105, "ir": 106, "is": 107, "it": 108, "jm": 109, "jo": 110, "jp": 111, "ke": 112, "kg": 113, "kh": 114, "ki": 115, "km": 116, "kn": 117, "kp": 118, "kr": 119, "kw": 120, "ky": 121, "kz": 122, "la": 123, "lb": 124, "lc": 125, "li": 126, "lk": 127, "lr": 128, "ls": 129, "lt": 130, "lu": 131, "lv": 132, "ly": 133, "ma": 134, "mc": 135, "md": 136, "mg": 137, "mh": 138, "mk": 139, "ml": 140, "mm": 141, "mn": 142, "mo": 143, "mp": 144, "mq": 145, "mr": 146, "ms": 147, "mt": 148, "mu": 149, "mv": 150, "mw": 151, "mx": 152, "my": 153, "mz": 154, "na": 155, "nc": 156, "ne": 157, "nf": 158, "ng": 159, "ni": 160, "nl": 161, "no": 162, "np": 163, "nr": 164, "nu": 165, "nz": 166, "om": 167, "pa": 168, "pe": 169, "pf": 170, "pg": 171, "ph": 172, "pk": 173, "pl": 174, "pm": 175, "pn": 176, "pr": 177, "ps": 178, "pt": 179, "pw": 180, "py": 181, "qa": 182, "re": 183, "ro": 184, "ru": 185, "rw": 186, "sa": 187, "sb": 188, "sc": 189, "sd": 190, "se": 191, "sg": 192, "sh": 193, "si": 194, "sj": 195, "sk": 196, "sl": 197, "sm": 198, "sn": 199, "so": 200, "sr": 201, "st": 202, "sv": 203, "sy": 204, "sz": 205, "tc": 206, "td": 207, "tf": 208, "tg": 209, "th": 210, "tj": 211, "tk": 212, "tm": 213, "tn": 214, "to": 215, "tl": 216, "tr": 217, "tt": 218, "tv": 219, "tw": 220, "tz": 221, "ua": 222, "ug": 223, "um": 224, "us": 225, "uy": 226, "uz": 227, "va": 228, "vc": 229, "ve": 230, "vg": 231, "vi": 232, "vn": 233, "vu": 234, "wf": 235, "ws": 236, "ye": 237, "yt": 238, "rs": 239, "za": 240, "zm": 241, "me": 242, "zw": 243, "xx": 244, "a2": 245, "o1": 246, "ax": 247, "gg": 248, "im": 249, "je": 250, "bl": 251, "mf": 252, }

14.571984

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0.996101

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0

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false

0

null

0

1

0

1

0

null

0

2

46a717166ab3d6b06fc669ecfc6058dad3e771ac

770

py

Python

continual_rl/policies/discrete_random/discrete_random_policy_config.py

AGI-Labs/continual_rl

bcf17d879e8a983340be233ff8f740c424d0f303

[ "MIT" ]

19

2021-07-27T05:20:09.000Z

2022-02-27T07:12:05.000Z

continual_rl/policies/discrete_random/discrete_random_policy_config.py

AGI-Labs/continual_rl

bcf17d879e8a983340be233ff8f740c424d0f303

[ "MIT" ]

2

2021-11-05T07:36:50.000Z

2022-03-11T00:21:50.000Z

continual_rl/policies/discrete_random/discrete_random_policy_config.py

AGI-Labs/continual_rl

bcf17d879e8a983340be233ff8f740c424d0f303

[ "MIT" ]

3

2021-10-20T06:04:35.000Z

2022-03-06T22:59:36.000Z

from continual_rl.policies.config_base import ConfigBase class DiscreteRandomPolicyConfig(ConfigBase): def __init__(self): super().__init__() self.timesteps_per_collection = 128 # Per process, for batch self.num_parallel_envs = None # If None we operate synchronously, otherwise we batch def _load_from_dict_internal(self, config_dict): self.timesteps_per_collection = config_dict.pop("timesteps_per_collection", self.timesteps_per_collection) # Only necessary because the default is "None" self.num_parallel_envs = config_dict.pop("num_parallel_envs", self.num_parallel_envs) self.num_parallel_envs = int(self.num_parallel_envs) if self.num_parallel_envs is not None else None return self

40.526316

114

0.750649

102

770

5.284314

0.431373

0.142857

0.194805

0.211503

0.09833

0

0.004762

0.181818

770

18

115

42.777778

0.850794

0.155844

0

0.063467

0.037152

0

1

0.181818

false

0

0.090909

0

0.454545

0

null

0

1

0

null

0

2

46ab4dea61540b127f5c96c2afcb437569b128a5

924

py

Python

mooringlicensing/components/payments_ml/api.py

xzzy/mooringlicensing

9f34815c6305e8f6a741dbc68889218ae7bfe953

[ "Apache-2.0" ]

null

mooringlicensing/components/payments_ml/api.py

xzzy/mooringlicensing

9f34815c6305e8f6a741dbc68889218ae7bfe953

[ "Apache-2.0" ]

null

mooringlicensing/components/payments_ml/api.py

xzzy/mooringlicensing

9f34815c6305e8f6a741dbc68889218ae7bfe953

[ "Apache-2.0" ]

null

import logging from rest_framework import views from rest_framework.renderers import JSONRenderer from rest_framework.response import Response from mooringlicensing import settings from mooringlicensing.components.main.models import ApplicationType from mooringlicensing.components.payments_ml.models import FeeConstructor logger = logging.getLogger('log') class GetSeasonsForDcvDict(views.APIView): renderer_classes = [JSONRenderer, ] def get(self, request, format=None): # Return current and future seasons for the DCV permit application_type = ApplicationType.objects.get(code=settings.APPLICATION_TYPE_DCV_PERMIT['code']) fee_constructors = FeeConstructor.get_current_and_future_fee_constructors_by_application_type_and_date(application_type,) data = [{'id': item.fee_season.id, 'name': item.fee_season.__str__()} for item in fee_constructors] return Response(data)

40.173913

129

0.798701

111

924

6.396396

0.504505

0.084507

0.071831

0

0.130952

924

22

130

42

0.884184

0.056277

0

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0

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0.066667

false

0

0.466667

0

0.733333

0

null

0

null

0

1

0

1

0

2

46ac689cd982c86a5928757d055e3440106225b6

1,335

py

Python

desktop/core/ext-py/pyasn1-modules-0.2.6/tests/test_rfc8418.py

yetsun/hue

2e48f0cc70e233ee0e1b40733d4b2a18d8836c66

[ "Apache-2.0" ]

5,079

2015-01-01T03:39:46.000Z

2022-03-31T07:38:22.000Z

desktop/core/ext-py/pyasn1-modules-0.2.6/tests/test_rfc8418.py

yetsun/hue

2e48f0cc70e233ee0e1b40733d4b2a18d8836c66

[ "Apache-2.0" ]

1,623

2015-01-01T08:06:24.000Z

2022-03-30T19:48:52.000Z

desktop/core/ext-py/pyasn1-modules-0.2.6/tests/test_rfc8418.py

yetsun/hue

2e48f0cc70e233ee0e1b40733d4b2a18d8836c66

[ "Apache-2.0" ]

2,033

2015-01-04T07:18:02.000Z

2022-03-28T19:55:47.000Z

# # This file is part of pyasn1-modules software. # # Created by Russ Housley # Copyright (c) 2019, Vigil Security, LLC # License: http://snmplabs.com/pyasn1/license.html # import sys from pyasn1.codec.der import decoder as der_decoder from pyasn1.codec.der import encoder as der_encoder from pyasn1_modules import pem from pyasn1_modules import rfc5280 from pyasn1_modules import rfc8418 try: import unittest2 as unittest except ImportError: import unittest class KeyAgreeAlgTestCase(unittest.TestCase): key_agree_alg_id_pem_text = "MBoGCyqGSIb3DQEJEAMUMAsGCWCGSAFlAwQBLQ==" def setUp(self): self.asn1Spec = rfc5280.AlgorithmIdentifier() def testDerCodec(self): substrate = pem.readBase64fromText(self.key_agree_alg_id_pem_text) asn1Object, rest = der_decoder.decode(substrate, asn1Spec=self.asn1Spec) assert not rest assert asn1Object.prettyPrint() assert asn1Object['algorithm'] == rfc8418.dhSinglePass_stdDH_hkdf_sha384_scheme assert asn1Object['parameters'].isValue assert der_encoder.encode(asn1Object) == substrate suite = unittest.TestLoader().loadTestsFromModule(sys.modules[__name__]) if __name__ == '__main__': import sys result = unittest.TextTestRunner(verbosity=2).run(suite) sys.exit(not result.wasSuccessful())

28.404255

87

0.755056

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1,335

6.170886

0.531646

0.051282

0.052308

0.070769

0.090256

0.041026

0

0.038496

0.163296

1,335

46

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0

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1

0.074074

false

0.037037

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0

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0

null

0

null

0

1

0

1

0

2

46af7a553f485120a27537bec039f5248bf23a26

6,777

py

Python

framework/modelhublib/processor.py

modelhub-ai/modelhub-engine

81e893fb7669ee9912178346efbf828dd8c0410b

[ "MIT" ]

6

2018-10-13T10:11:51.000Z

2022-02-21T08:28:10.000Z

framework/modelhublib/processor.py

modelhub-ai/modelhub-docker

81e893fb7669ee9912178346efbf828dd8c0410b

[ "MIT" ]

34

2018-03-06T16:25:10.000Z

2018-06-26T21:55:13.000Z

framework/modelhublib/processor.py

modelhub-ai/modelhub-engine

81e893fb7669ee9912178346efbf828dd8c0410b

[ "MIT" ]

3

2019-08-15T18:09:32.000Z

2022-02-16T07:55:27.000Z

import numpy as np from .imageloaders import PilImageLoader, SitkImageLoader, NumpyImageLoader from .imageconverters import PilToNumpyConverter, SitkToNumpyConverter, NumpyToNumpyConverter class ImageProcessorBase(object): """ Abstract base class for image pre- and postprocessing, thus handeling all data processing before and after the inference. Several methods of this class have to be implemented in a contributed model. Follow the "Contribute Your Model to Modelhub" guide for detailed instructions. An image processor handles: 1. Loading of the input image(s). 2. Converting the loaded images to a numpy array 3. Preprocessing the image data (either on the image object or on the numpy array) After this step the data should be prepared to be directly feed to the inference step. 4. Processing the inference result and convert it to the expected output format. This class already provides loading and conversion of images using PIL and SimpleITK. If you need to support image formats which are not covered by those two, you should implement an additional :class:`~modelhublib.imageloaders.imageLoader.ImageLoader` and :class:`~modelhublib.imageconverters.imageConverter.ImageConverter`. If you do so, you will also need to overwrite the constructor (__init__) to instantiate your loader and converter and include them in the chain of responsibility. Best practice would be to call the original constructor from your derived class and then change what you need to change. Args: config (dict): Model configuration (loaded from model's config.json) """ def __init__(self, config): self._config = config self._imageLoader = PilImageLoader(self._config) self._imageLoader.setSuccessor(SitkImageLoader(self._config)) self._imageLoader._successor.setSuccessor(NumpyImageLoader(self._config)) self._imageToNumpyConverter = PilToNumpyConverter() self._imageToNumpyConverter.setSuccessor(SitkToNumpyConverter()) self._imageToNumpyConverter._successor.setSuccessor(NumpyToNumpyConverter()) def loadAndPreprocess(self, input, id=None): """ Loads input, preprocesses it and returns a numpy array appropriate to feed into the inference model (4 dimensions: [batchsize, z/color, height, width]). There should be no need to overwrite this method in a derived class! Rather overwrite the individual preprocessing steps used by this method! Args: input (str): Name of the input file to be loaded id (str or None): ID of the input when handling multiple inputs Returns: numpy array appropriate to feed into the inference model (4 dimensions: [batchsize, z/color, height, width]) """ image = self._load(input, id=id) image = self._preprocessBeforeConversionToNumpy(image) npArr = self._convertToNumpy(image) npArr = self._preprocessAfterConversionToNumpy(npArr) return npArr def computeOutput(self, inferenceResults): """ Abstract method. Overwrite this method to define how to postprocess the inference results computed by the model into a proper output as defined in the model configuration file. Args: inferenceResults: Results of the inference as computed by the model. Returns: Converted inference results into format as defined in the model configuration. """ raise NotImplementedError("This is a method of an abstract class.") def _load(self, input, id=None): """ Performs the actual loading of the image. There should be no need to overwrite this method in a derived class! Rather implement an additional :class:`~modelhublib.imageloaders.imageLoader.ImageLoader` to support further image formats. See also documentation of :class:`~ImageProcessorBase` above. Args: input (str): Name of the input file to be loaded id (str or None): ID of the input when handling multiple inputs Returns: Image object which type will be the native image object type of the library/handler used for loading (default implementation uses PIL or SimpleITK). Hence it might not always be the same. """ image = self._imageLoader.load(input, id=id) return image def _preprocessBeforeConversionToNumpy(self, image): """ Perform preprocessing on the loaded image object (see :func:`~modelhublib.processor.ImageProcessorBase._load`). Overwrite this to implement image preprocessing using the loaded image object. If not overwritten, just returns the image object unchanged. When overwriting this, make sure to handle the possible types appropriately and throw an IOException if you cannot preprocess a certain type. Args: image (type = return of :func:`~modelhublib.processor.ImageProcessorBase._load`): Loaded image object Returns: Image object which must be of the same type as input image object. """ return image def _convertToNumpy(self, image): """ Converts the image object into a corresponding numpy array with 4 dimensions: [batchsize, z/color, height, width]. There should be no need to overwrite this method in a derived class! Rather implement an additional :class:`~modelhublib.imageconverters.imageConverter.ImageConverter` to support further image format conversions. See also documentation of :class:`~ImageProcessorBase` above. Args: image: (type = return of :func:`~modelhublib.processor.ImageProcessorBase._preprocessBeforeConversionToNumpy`): Loaded and preproceesed image object. Returns: Representation of the input image as numpy array with 4 dimensions [batchsize, z/color, height, width]. """ npArr = self._imageToNumpyConverter.convert(image) return npArr def _preprocessAfterConversionToNumpy(self, npArr): """ Perform preprocessing on the numpy array (the result of _convertToNumpy()). Overwrite this to implement preprocessing on the converted numpy array. If not overwritten, just returns the input array unchanged. Args: npArr (numpy array): input data after conversion by :func:`~modelhublib.processor.ImageProcessorBase._convertToNumpy` Returns: Preprocessed numpy array with 4 dimensions [batchsize, z/color, height, width]. """ return npArr

42.35625

161

0.698539

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6,777

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0.282309

0.02575

0.012769

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0.293467

0.261119

0.234731

0.191104

0.16429

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0.245241

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42.622642

0.916911

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null

0

null

0

1

0

1

0

2

d3c3b41b3a1f9af12d5e5fd2bb468f6513b54550

792

py

Python

LeetCode/Python/gas_station.py

wh-acmer/minixalpha-acm

cb684ad70eaa61d42a445364cb3ee195b9e9302e

[ "MIT" ]

null

LeetCode/Python/gas_station.py

wh-acmer/minixalpha-acm

cb684ad70eaa61d42a445364cb3ee195b9e9302e

[ "MIT" ]

null

LeetCode/Python/gas_station.py

wh-acmer/minixalpha-acm

cb684ad70eaa61d42a445364cb3ee195b9e9302e

[ "MIT" ]

null

#!/usr/bin/env python #coding: utf-8 class Solution: # @param gas, a list of integers # @param cost, a list of integers # @return an integer def canCompleteCircuit(self, gas, cost): total, tank, start = 0, 0, 0 lg = len(gas) for i in range(lg): tank = tank + gas[i] - cost[i] if tank < 0: start = i + 1 total += tank tank = 0 return start if total + tank >= 0 else -1 if __name__ == '__main__': s = Solution() assert -1 == s.canCompleteCircuit([0], [1]) assert 0 == s.canCompleteCircuit([1], [0]) assert 0 == s.canCompleteCircuit([2, 1], [1, 2]) assert -1 == s.canCompleteCircuit([2, 1], [2, 2]) assert 1 == s.canCompleteCircuit([2, 2], [3, 1])

29.333333

53

0.525253

108

792

3.777778

0.37963

0.232843

0.058824

0.191176

0.137255

0

0.056285

0.32702

792

26

54

30.461538

0.709193

0.145202

0

0.011905

0

0.277778

1

0.055556

false

0

0.166667

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null

1

0

1

0

null

0

2

d3d52982b72209958bac441c4d9f2bd1e92d764c

3,952

py

Python

exercise_2.py

srinivas-narayan/SimpleITKProject

210385f028a9f55242f5a7102fdbf9971d832177

[ "Apache-2.0" ]

null

exercise_2.py

srinivas-narayan/SimpleITKProject

210385f028a9f55242f5a7102fdbf9971d832177

[ "Apache-2.0" ]

null

exercise_2.py

srinivas-narayan/SimpleITKProject

210385f028a9f55242f5a7102fdbf9971d832177

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import SimpleITK as sitk import argparse def convert_to_binary_mask( image ): #=================== YOUR CODE HERE ============================== # Assign 1 to every voxel in the image that is different from 0. # Use a simpleITK filter #================================================================= return new_img def dilate_mask( image ): filter = sitk.BinaryDilateImageFilter() filter.SetKernelRadius ( 1 ).SetForegroundValue ( 1 ) dilated = filter.Execute ( image ) return dilated def erode_mask( image ): #=================== YOUR CODE HERE ============================== # Based on the code for dilate_mask, implement this function so # that the input image is eroded. Use the same kernel radius. #================================================================= return eroded def obtain_border( image ): #=================== YOUR CODE HERE ============================== # Obtain a rough estimate of the border of the masked object # by sustracting the eroded mask from the dilated mask #================================================================= return border_img print 'SimpleITK: Basic filters' # This lines of code allow to read arguments from the command line parser = argparse.ArgumentParser() parser.add_argument("-i", "--img", required=True, help="Input image") parser.add_argument("-m", "--mask", required=True, help="Mask image") parser.add_argument("-o", "--out", required=True, help="Output image") parser.add_argument("-b", "--border", required=True, help="Border image") args = parser.parse_args() #1- Reading the original image and displaying it image = sitk.ReadImage ( args.img ) sitk.Show ( image, "Original image" ) # Smooth filter: A Gaussian filter is applied to the input # image and it is displayed. Sigma = 2.0 smooth = sitk.SmoothingRecursiveGaussian ( image, 2.0 ) sitk.Show ( smooth, "Gaussian smoothing, sigma 2.0" ) # An alternative way to use the SmoothingRecursiveGaussian # The image is displayed. New sigma is 4.0 # Can you see any differences in the image? Gaussian = sitk.SmoothingRecursiveGaussian smooth = Gaussian ( image, 4. ) sitk.Show ( smooth, "Gaussian smoothing, sigma 4.0" ) #=================== YOUR CODE HERE ============================== # We want to display the difference between the original # image and the substracted one. The following piece of # code tries to do so. However, as you will see when you # run it, there is an error. # Your task is towrite the necessary code to fix this # problem. # Hint: Run the program and check the displayed error. # Hint 2: Invesigate the usage of sitk.Cast function #================================================================= sitk.Show ( sitk.Subtract ( image, smooth ), "DiffWithGaussian" ) #=================== YOUR CODE HERE ============================== # In exercise_1, you coded the function convert_to_binary_mask # through the use of numpy. SimpleITK has a BinaryThreshold # filter that can do the same. # Implement convert_to_binary_mask. Read the mask image passed as # argument and apply convert_to_binary_mask function. Save the # result to disk into args.out. The results should be the same # you obtained in exercise_1. #================================================================= # =================== YOUR CODE HERE ============================== # Implement obtain_border to get a rough estimation of the borders # of the object contained in the previously computed mask. # Rough borders of an object are usually obtained by sustracting the # dilated and eroded versions of the original mask. See dilate_mask # for an example on how to dilate/erode using simpleITK. # Display the result border image. WARNING: You might need to # adjust the window/level settings to see the image properly. #=================================================================

40.326531

73

0.606022

490

3,952

4.832653

0.367347

0.02027

0.030405

0.032095

0.048142

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0

0.006001

0.15663

3,952

97

74

40.742268

0.70447

0.667763

0

0.149525

0

0.010309

0

null

0

0.071429

null

0.035714

0

null

0

null

0

1

0

1

0

2

d3d601268249220ffd7fb5c1fecf1001a41a2b5f

2,680

py

Python

tests/test_reset_password.py

zevaverbach/epcon

8352c030ee0d4197f559cdb58a54ee45c7a4471a

[ "BSD-2-Clause" ]

null

tests/test_reset_password.py

zevaverbach/epcon

8352c030ee0d4197f559cdb58a54ee45c7a4471a

[ "BSD-2-Clause" ]

null

tests/test_reset_password.py

zevaverbach/epcon

8352c030ee0d4197f559cdb58a54ee45c7a4471a

[ "BSD-2-Clause" ]

null

from pytest import mark from django.core import mail from django.core.urlresolvers import reverse from django_factory_boy import auth as auth_factories from tests.common_tools import template_used @mark.django_db def test_reset_password(client): """ Testing full reset password flow, from getting to the reset password page, through sending email with unique token, to using that url to change the password. """ url = reverse("accounts:password_reset") assert url == "/accounts/password-reset/" response = client.get(url) assert template_used(response, "ep19/bs/accounts/password_reset.html") # make sure that we're not using default template from django admin assert "Django Administration" not in response.content.decode("utf-8") assert 'input type="email"' in response.content.decode("utf-8") # -------- response = client.post(url, {"email": "joedoe@example.com"}) # successful redirect, but no email sent because user doesn't exist assert response.status_code == 302 assert response.url.endswith("/accounts/password-reset/done/") assert len(mail.outbox) == 0 # -------- auth_factories.UserFactory(email="joedoe@example.com") response = client.post(url, {"email": "joedoe@example.com"}) # successful redirect, and one email sent because user exists assert response.status_code == 302 assert response.url.endswith("/accounts/password-reset/done/") assert len(mail.outbox) == 1 response = client.get(reverse("accounts:password_reset_done")) assert template_used(response, "ep19/bs/accounts/password_reset_done.html") # -------- email = mail.outbox[0] assert email.to == ["joedoe@example.com"] assert email.subject == "EuroPython2019: Reset password link" # get a relative url from the middle of the email. url_from_email = email.body.splitlines()[6].split("example.com")[1] response = client.get(url_from_email) # This should be a template with two password inputs assert template_used( response, "ep19/bs/accounts/password_reset_confirm.html" ) assert "Django Administration" not in response.content.decode("utf-8") assert 'name="new_password1"' in response.content.decode("utf-8") assert 'name="new_password2"' in response.content.decode("utf-8") print(email.body) # -------- response = client.post( url_from_email, {"new_password1": "asdf", "new_password2": "asdf"}, follow=True, ) assert template_used( response, "ep19/bs/accounts/password_reset_complete.html" ) assert "Django Administration" not in response.content.decode("utf-8")

36.712329

79

0.699627

351

2,680

5.242165

0.333333

0.078261

0.102717

0.075

0.455435

0.441848

0.4125

0.271739

0

0.014986

0.178358

2,680

72

80

37.222222

0.820618

0.181343

0

0.244444

0

0.284459

0.139685

0

0.422222

1

0.022222

false

0.311111

0.111111

0

0.133333

0.022222

0

null

0

null

0

1

0

1

0

2

d3de2f9118892f832c71237446df62795d66bff5

780

py

Python

Recursion/Generate Div Tags/GenerateDivTags.py

joydeepnandi/Algo

1c5c49cb172c47cad7df81dc9b66fedbacbb5b55

[ "MIT" ]

null

Recursion/Generate Div Tags/GenerateDivTags.py

joydeepnandi/Algo

1c5c49cb172c47cad7df81dc9b66fedbacbb5b55

[ "MIT" ]

null

Recursion/Generate Div Tags/GenerateDivTags.py

joydeepnandi/Algo

1c5c49cb172c47cad7df81dc9b66fedbacbb5b55

[ "MIT" ]

null

# O((2n)!/((n!((n + 1)!)))) time | O((2n)!/((n!((n + 1)!)))) space - # where n is the input number def generateDivTags(numberOfTags): matchedDivTags = [] generateDivTagsFromPrefix(numberOfTags, numberOfTags, "", matchedDivTags) return matchedDivTags def generateDivTagsFromPrefix(openingTagsNeeded, closingTagsNeeded, prefix, result): if openingTagsNeeded > 0: newPrefix = prefix + "<div>" generateDivTagsFromPrefix(openingTagsNeeded - 1, closingTagsNeeded, newPrefix, result) if openingTagsNeeded < closingTagsNeeded: newPrefix = prefix + "</div>" generateDivTagsFromPrefix(openingTagsNeeded, closingTagsNeeded - 1, newPrefix, result) if closingTagsNeeded == 0: result.append(prefix)

32.5

95

0.671795

64

780

8.1875

0.40625

0.240458

0.015267

0.019084

0.251908

0

0.012987

0.210256

780

24

96

32.5

0.837662

0.120513

0

1

0

0.016641

0

1

0.153846

false

0

0.230769

0

null

1

0

1

0

null

0

2

d3ecc4cb19db2baab0671d65b82a37d52a83e483

3,061

py

Python

reposter.py

plus20charisma/reddit-user-reposter

c787d366d6b9c8dfec8d44f59a3e398dc0c5b57f

[ "MIT" ]

null

reposter.py

plus20charisma/reddit-user-reposter

c787d366d6b9c8dfec8d44f59a3e398dc0c5b57f

[ "MIT" ]

null

reposter.py

plus20charisma/reddit-user-reposter

c787d366d6b9c8dfec8d44f59a3e398dc0c5b57f

[ "MIT" ]

null

import praw import sqlite3 import time #config USERAGENT = "/u/plus20charisma's post & comment reposter by user & karma threshold." USERNAME = ""#bot's username PASSWORD = ""#bot's password USERSCRAPE = "" #what user to scrape & repost from SUBREDDIT = "" #what subreddit to post in. don't put /r/ or r/ MAXPOSTS = 100 #how far back to look. max is 100 KARMATHRESHOLD = 1000 #anything with karma greater than this number will be reposted WAIT = 30 #wait time in seconds between runs #makes a database if one doesn't exist. #opens db if it already exists print ("Opening database...") sql = sqlite3.connect("sql.db") cur = sql.cursor() cur.execute('CREATE TABLE IF NOT EXISTS oldsubmissions(ID TEXT)') cur.execute('CREATE TABLE IF NOT EXISTS oldcomments(ID TEXT)') sql.commit() print("Logging in to reddit...") r = praw.Reddit(USERAGENT) r.login(USERNAME, PASSWORD) #comment scanner & reposter def rep_bot_coms(): user = r.get_redditor(USERSCRAPE) comments = user.get_comments(limit=MAXPOSTS) print ("Checking comments...") for comment in comments: #checks if comment already exists in db cur.execute('SELECT * FROM oldcomments WHERE ID=?', [comment.id]) if not cur.fetchone(): try: if comment.score > KARMATHRESHOLD: print ("Reposting comment above Karma Threshold...") repost_comment_body = comment.body #since comments don't have titles, the first 10 words become post title repost_title_list = repost_comment_body.split() repost_title = ' '.join(repost_title_list[:10]) + "..." r.submit(SUBREDDIT, repost_title, repost_comment_body + "\n Permalink: " + comment.permalink + """\n***\n> I'm a bot that is reposting from /u/%s. If there's any trouble, please message /u/plus20charisma!""" % USERSCRAPE) print ("Comment posted to /r/"+SUBREDDIT+"!") except AttributeError: pass #writes comment to db by id cur.execute('INSERT INTO oldcomments VALUES(?)', [comment.id]) sql.commit() print ("No more comments to submit!") #same as rep_bot_coms() but for submissions def rep_bot_submitted(): user = r.get_redditor(USERSCRAPE) posts = user.get_submitted(limit=MAXPOSTS) print ("Checking submissions...") for post in posts: cur.execute('SELECT * FROM oldsubmissions WHERE ID=?', [post.id]) if not cur.fetchone(): try: if post.score > KARMATHRESHOLD: print ("Reposting submission above Karma Threshold...") repost_title = post.title repost_url = post.url r.submit(SUBREDDIT, repost_title, "Title:" + repost_title + repost_url + """\nOriginal Submission: %s \n***\n> I'm a bot that is reposting from /u/%s. If there's any trouble, please message /u/plus20charisma!""" % (post.short_link, USERSCRAPE)) print "Submission posted to /r/"+SUBREDDIT+"!" except AttributeError: pass cur.execute('INSERT INTO oldsubmissions VALUES(?)', [post.id]) sql.commit() print ("No more submissions to submit!") while True: rep_bot_submitted() rep_bot_coms() print "Waiting " + str(WAIT) + " seconds" time.sleep(WAIT)

35.183908

99

0.701405

429

3,061

4.93007

0.358974

0.036407

0.019858

0.23357

0.183452

0.162648

0.070922

0

0.009501

0.174779

3,061

86

100

35.593023

0.827791

0.166612

0

0.19697

0

0.278487

0

null

0.060606

0.045455

null

0.166667

0

null

0

null

0

1

0

1

0

2

d3ef5b922b914bf83febaccf0e084c2dbeb1972e

276

py

Python

leetcode/1523_count_odd_numbers_in_an_interval_range.py

jacquerie/leetcode

a05e6b832eb0e0740aaff7b2eb3109038ad404bf

[ "MIT" ]

3

2018-05-10T09:56:49.000Z

2020-11-07T18:09:42.000Z

leetcode/1523_count_odd_numbers_in_an_interval_range.py

jacquerie/leetcode

a05e6b832eb0e0740aaff7b2eb3109038ad404bf

[ "MIT" ]

null

leetcode/1523_count_odd_numbers_in_an_interval_range.py

jacquerie/leetcode

a05e6b832eb0e0740aaff7b2eb3109038ad404bf

[ "MIT" ]

null

# -*- coding: utf-8 -*- class Solution: def countOdds(self, low: int, high: int) -> int: return (high + 1) // 2 - low // 2 if __name__ == '__main__': solution = Solution() assert 3 == solution.countOdds(3, 7) assert 1 == solution.countOdds(8, 10)

19.714286

52

0.572464

36

276

4.166667

0.583333

0.226667

0

0.053659

0.257246

276

13

53

21.230769

0.678049

0.076087

0

0.031621

0

0.285714

1

0.142857

false

0

0.142857

0.428571

0

null

1

0

null

0

1

0

2

d3f0e325a23686c69f7eec073c983de5f0695885

658

py

Python

packtml/__init__.py

cicorias/supv-ml-py

f7e030206efe5bb2c49433ae18e115ca0fcfc5cb

[ "MIT" ]

14

2018-08-22T22:12:40.000Z

2021-10-04T16:28:14.000Z

packtml/__init__.py

cicorias/supv-ml-py

f7e030206efe5bb2c49433ae18e115ca0fcfc5cb

[ "MIT" ]

null

packtml/__init__.py

cicorias/supv-ml-py

f7e030206efe5bb2c49433ae18e115ca0fcfc5cb

[ "MIT" ]

14

2018-05-31T20:42:12.000Z

2021-09-15T08:00:14.000Z

# -*- coding: utf-8 -*- import os # global namespace: from packtml import clustering from packtml import decision_tree from packtml import metrics from packtml import neural_net from packtml import recommendation from packtml import regression from packtml import utils # set the version packtml_location = os.path.abspath(os.path.dirname(__file__)) with open(os.path.join(packtml_location, "VERSION")) as vsn: __version__ = vsn.read().strip() # remove from global namespace del os del packtml_location del vsn __all__ = [ 'clustering', 'decision_tree', 'metrics', 'neural_net', 'recommendation', 'regression', 'utils' ]

19.939394

61

0.735562

84

658

5.535714

0.428571

0.165591

0.255914

0

0.001832

0.170213

658

32

62

20.5625

0.849817

0.12766

0

0.133568

0

1

0

false

0

0.347826

0

0.347826

0

null

0

1

0

null

0

1

0

2

d3fb859b5ebf0b73bfbc7676e20ebf0151a0c398

1,578

py

Python

dyncache/functionhash.py

b10011/dyncache

b36db775a83cedd445a0a6873161f74027072cdf

[ "MIT" ]

3

2020-04-14T23:50:51.000Z

2020-04-21T08:29:25.000Z

dyncache/functionhash.py

b10011/dyncache

b36db775a83cedd445a0a6873161f74027072cdf

[ "MIT" ]

null

dyncache/functionhash.py

b10011/dyncache

b36db775a83cedd445a0a6873161f74027072cdf

[ "MIT" ]

1

2020-04-15T07:06:22.000Z

from hashlib import sha256 import cloudpickle from .version import PYTHON_VERSION def get_function_hash_py35_to_py37(function): code = function.__code__ return sha256( cloudpickle.dumps( ( code.co_argcount, code.co_cellvars, code.co_code, code.co_consts, code.co_flags, code.co_freevars, code.co_kwonlyargcount, code.co_lnotab, code.co_name, code.co_names, code.co_nlocals, code.co_stacksize, code.co_varnames, ) ) ).digest() def get_function_hash_python38_to_latest(function): code = function.__code__ return sha256( cloudpickle.dumps( ( code.co_argcount, code.co_cellvars, code.co_code, code.co_consts, code.co_flags, code.co_freevars, code.co_kwonlyargcount, code.co_lnotab, code.co_name, code.co_names, code.co_nlocals, code.co_posonlyargcount, code.co_stacksize, code.co_varnames, ) ) ).digest() if PYTHON_VERSION >= (3, 8): get_function_hash = get_function_hash_python38_to_latest elif PYTHON_VERSION >= (3, 5): get_function_hash = get_function_hash_py35_to_py37 else: raise Exception("Python version not supported")

26.3

60

0.529785

159

1,578

4.867925

0.27673

0.209302

0.116279

0.046512

0.780362

0.596899

0.514212

0

0.026596

0.404309

1,578

59

61

26.745763

0.796809

0

0.653846

0

0.017744

0

1

0.038462

false

0

0.057692

0

0.134615

0

null

1

0

1

0

null

0

2

311425c98c9164169aaa4631abe50ba707c57c73

209

py

Python

level2_1 - Bunny Prisoner Locating/solution.py

berman82312/google-foobar

e5185f8b5d59519aa2ee0c74d4157faa80054e8a

[ "MIT" ]

null

level2_1 - Bunny Prisoner Locating/solution.py

berman82312/google-foobar

e5185f8b5d59519aa2ee0c74d4157faa80054e8a

[ "MIT" ]

null

level2_1 - Bunny Prisoner Locating/solution.py

berman82312/google-foobar

e5185f8b5d59519aa2ee0c74d4157faa80054e8a

[ "MIT" ]

null

def solution(x, y): result = 0 if y == 1: result = (1 + x) * x / 2 elif y == 2: result = (1 + x) * x / 2 + x else: end = x + y - 2 result = (1 + end) * end / 2 + x return str(result)

19

36

0.435407

37

209

2.459459

0.378378

0.230769

0.175824

0.197802

0.21978

0

0.078125

0.38756

209

10

37

20.9

0.632813

0

1

0.1

false

0

0.2

0

null

1

0

1

0

null

0

2

31165ff67a18c8a55507e9fafb3f8a20097a2c71

25,777

py

Python

pysnmp/MAU-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

11

2021-02-02T16:27:16.000Z

2021-08-31T06:22:49.000Z

pysnmp/MAU-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

75

2021-02-24T17:30:31.000Z

2021-12-08T00:01:18.000Z

pysnmp/MAU-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module MAU-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/MAU-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 17:49:53 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, ValueSizeConstraint, ValueRangeConstraint, ConstraintsIntersection, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsIntersection", "SingleValueConstraint") IANAifJackType, IANAifMauTypeListBits, IANAifMauMediaAvailable, IANAifMauAutoNegCapBits = mibBuilder.importSymbols("IANA-MAU-MIB", "IANAifJackType", "IANAifMauTypeListBits", "IANAifMauMediaAvailable", "IANAifMauAutoNegCapBits") InterfaceIndex, = mibBuilder.importSymbols("IF-MIB", "InterfaceIndex") ModuleCompliance, ObjectGroup, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup") MibIdentifier, iso, mib_2, Gauge32, Counter64, ModuleIdentity, Unsigned32, NotificationType, Counter32, Bits, TimeTicks, IpAddress, ObjectIdentity, Integer32, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "MibIdentifier", "iso", "mib-2", "Gauge32", "Counter64", "ModuleIdentity", "Unsigned32", "NotificationType", "Counter32", "Bits", "TimeTicks", "IpAddress", "ObjectIdentity", "Integer32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn") TextualConvention, DisplayString, AutonomousType, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString", "AutonomousType", "TruthValue") mauMod = ModuleIdentity((1, 3, 6, 1, 2, 1, 26, 6)) mauMod.setRevisions(('2007-04-21 00:00', '2003-09-19 00:00', '1999-08-24 04:00', '1997-10-31 00:00', '1993-09-30 00:00',)) if mibBuilder.loadTexts: mauMod.setLastUpdated('200704210000Z') if mibBuilder.loadTexts: mauMod.setOrganization('IETF Ethernet Interfaces and Hub MIB Working Group') snmpDot3MauMgt = MibIdentifier((1, 3, 6, 1, 2, 1, 26)) class JackType(TextualConvention, Integer32): status = 'deprecated' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)) namedValues = NamedValues(("other", 1), ("rj45", 2), ("rj45S", 3), ("db9", 4), ("bnc", 5), ("fAUI", 6), ("mAUI", 7), ("fiberSC", 8), ("fiberMIC", 9), ("fiberST", 10), ("telco", 11), ("mtrj", 12), ("hssdc", 13), ("fiberLC", 14)) dot3RpMauBasicGroup = MibIdentifier((1, 3, 6, 1, 2, 1, 26, 1)) dot3IfMauBasicGroup = MibIdentifier((1, 3, 6, 1, 2, 1, 26, 2)) dot3BroadMauBasicGroup = MibIdentifier((1, 3, 6, 1, 2, 1, 26, 3)) dot3IfMauAutoNegGroup = MibIdentifier((1, 3, 6, 1, 2, 1, 26, 5)) rpMauTable = MibTable((1, 3, 6, 1, 2, 1, 26, 1, 1), ) if mibBuilder.loadTexts: rpMauTable.setStatus('current') rpMauEntry = MibTableRow((1, 3, 6, 1, 2, 1, 26, 1, 1, 1), ).setIndexNames((0, "MAU-MIB", "rpMauGroupIndex"), (0, "MAU-MIB", "rpMauPortIndex"), (0, "MAU-MIB", "rpMauIndex")) if mibBuilder.loadTexts: rpMauEntry.setStatus('current') rpMauGroupIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: rpMauGroupIndex.setStatus('current') rpMauPortIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: rpMauPortIndex.setStatus('current') rpMauIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 1, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: rpMauIndex.setStatus('current') rpMauType = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 1, 1, 4), AutonomousType()).setMaxAccess("readonly") if mibBuilder.loadTexts: rpMauType.setStatus('current') rpMauStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("other", 1), ("unknown", 2), ("operational", 3), ("standby", 4), ("shutdown", 5), ("reset", 6)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: rpMauStatus.setStatus('current') rpMauMediaAvailable = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 1, 1, 6), IANAifMauMediaAvailable()).setMaxAccess("readonly") if mibBuilder.loadTexts: rpMauMediaAvailable.setStatus('current') rpMauMediaAvailableStateExits = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 1, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: rpMauMediaAvailableStateExits.setStatus('current') rpMauJabberState = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 1, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("unknown", 2), ("noJabber", 3), ("jabbering", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: rpMauJabberState.setStatus('current') rpMauJabberingStateEnters = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 1, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: rpMauJabberingStateEnters.setStatus('current') rpMauFalseCarriers = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 1, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: rpMauFalseCarriers.setStatus('current') rpJackTable = MibTable((1, 3, 6, 1, 2, 1, 26, 1, 2), ) if mibBuilder.loadTexts: rpJackTable.setStatus('current') rpJackEntry = MibTableRow((1, 3, 6, 1, 2, 1, 26, 1, 2, 1), ).setIndexNames((0, "MAU-MIB", "rpMauGroupIndex"), (0, "MAU-MIB", "rpMauPortIndex"), (0, "MAU-MIB", "rpMauIndex"), (0, "MAU-MIB", "rpJackIndex")) if mibBuilder.loadTexts: rpJackEntry.setStatus('current') rpJackIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))) if mibBuilder.loadTexts: rpJackIndex.setStatus('current') rpJackType = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 1, 2, 1, 2), IANAifJackType()).setMaxAccess("readonly") if mibBuilder.loadTexts: rpJackType.setStatus('current') ifMauTable = MibTable((1, 3, 6, 1, 2, 1, 26, 2, 1), ) if mibBuilder.loadTexts: ifMauTable.setStatus('current') ifMauEntry = MibTableRow((1, 3, 6, 1, 2, 1, 26, 2, 1, 1), ).setIndexNames((0, "MAU-MIB", "ifMauIfIndex"), (0, "MAU-MIB", "ifMauIndex")) if mibBuilder.loadTexts: ifMauEntry.setStatus('current') ifMauIfIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 1), InterfaceIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauIfIndex.setStatus('current') ifMauIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauIndex.setStatus('current') ifMauType = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 3), AutonomousType()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauType.setStatus('current') ifMauStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("other", 1), ("unknown", 2), ("operational", 3), ("standby", 4), ("shutdown", 5), ("reset", 6)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ifMauStatus.setStatus('current') ifMauMediaAvailable = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 5), IANAifMauMediaAvailable()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauMediaAvailable.setStatus('current') ifMauMediaAvailableStateExits = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauMediaAvailableStateExits.setStatus('current') ifMauJabberState = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("unknown", 2), ("noJabber", 3), ("jabbering", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauJabberState.setStatus('current') ifMauJabberingStateEnters = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauJabberingStateEnters.setStatus('current') ifMauFalseCarriers = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauFalseCarriers.setStatus('current') ifMauTypeList = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauTypeList.setStatus('deprecated') ifMauDefaultType = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 11), AutonomousType()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ifMauDefaultType.setStatus('current') ifMauAutoNegSupported = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 12), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauAutoNegSupported.setStatus('current') ifMauTypeListBits = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 13), IANAifMauTypeListBits()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauTypeListBits.setStatus('current') ifMauHCFalseCarriers = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 1, 1, 14), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauHCFalseCarriers.setStatus('current') ifJackTable = MibTable((1, 3, 6, 1, 2, 1, 26, 2, 2), ) if mibBuilder.loadTexts: ifJackTable.setStatus('current') ifJackEntry = MibTableRow((1, 3, 6, 1, 2, 1, 26, 2, 2, 1), ).setIndexNames((0, "MAU-MIB", "ifMauIfIndex"), (0, "MAU-MIB", "ifMauIndex"), (0, "MAU-MIB", "ifJackIndex")) if mibBuilder.loadTexts: ifJackEntry.setStatus('current') ifJackIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))) if mibBuilder.loadTexts: ifJackIndex.setStatus('current') ifJackType = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 2, 2, 1, 2), IANAifJackType()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifJackType.setStatus('current') ifMauAutoNegTable = MibTable((1, 3, 6, 1, 2, 1, 26, 5, 1), ) if mibBuilder.loadTexts: ifMauAutoNegTable.setStatus('current') ifMauAutoNegEntry = MibTableRow((1, 3, 6, 1, 2, 1, 26, 5, 1, 1), ).setIndexNames((0, "MAU-MIB", "ifMauIfIndex"), (0, "MAU-MIB", "ifMauIndex")) if mibBuilder.loadTexts: ifMauAutoNegEntry.setStatus('current') ifMauAutoNegAdminStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ifMauAutoNegAdminStatus.setStatus('current') ifMauAutoNegRemoteSignaling = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("detected", 1), ("notdetected", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauAutoNegRemoteSignaling.setStatus('current') ifMauAutoNegConfig = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("other", 1), ("configuring", 2), ("complete", 3), ("disabled", 4), ("parallelDetectFail", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauAutoNegConfig.setStatus('current') ifMauAutoNegCapability = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauAutoNegCapability.setStatus('deprecated') ifMauAutoNegCapAdvertised = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 6), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ifMauAutoNegCapAdvertised.setStatus('deprecated') ifMauAutoNegCapReceived = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauAutoNegCapReceived.setStatus('deprecated') ifMauAutoNegRestart = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("restart", 1), ("norestart", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ifMauAutoNegRestart.setStatus('current') ifMauAutoNegCapabilityBits = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 9), IANAifMauAutoNegCapBits()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauAutoNegCapabilityBits.setStatus('current') ifMauAutoNegCapAdvertisedBits = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 10), IANAifMauAutoNegCapBits()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ifMauAutoNegCapAdvertisedBits.setStatus('current') ifMauAutoNegCapReceivedBits = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 11), IANAifMauAutoNegCapBits()).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauAutoNegCapReceivedBits.setStatus('current') ifMauAutoNegRemoteFaultAdvertised = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("noError", 1), ("offline", 2), ("linkFailure", 3), ("autoNegError", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ifMauAutoNegRemoteFaultAdvertised.setStatus('current') ifMauAutoNegRemoteFaultReceived = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 5, 1, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("noError", 1), ("offline", 2), ("linkFailure", 3), ("autoNegError", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ifMauAutoNegRemoteFaultReceived.setStatus('current') broadMauBasicTable = MibTable((1, 3, 6, 1, 2, 1, 26, 3, 1), ) if mibBuilder.loadTexts: broadMauBasicTable.setStatus('deprecated') broadMauBasicEntry = MibTableRow((1, 3, 6, 1, 2, 1, 26, 3, 1, 1), ).setIndexNames((0, "MAU-MIB", "broadMauIfIndex"), (0, "MAU-MIB", "broadMauIndex")) if mibBuilder.loadTexts: broadMauBasicEntry.setStatus('deprecated') broadMauIfIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 3, 1, 1, 1), InterfaceIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: broadMauIfIndex.setStatus('deprecated') broadMauIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 3, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: broadMauIndex.setStatus('deprecated') broadMauXmtRcvSplitType = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 3, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("other", 1), ("single", 2), ("dual", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: broadMauXmtRcvSplitType.setStatus('deprecated') broadMauXmtCarrierFreq = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 3, 1, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: broadMauXmtCarrierFreq.setStatus('deprecated') broadMauTranslationFreq = MibTableColumn((1, 3, 6, 1, 2, 1, 26, 3, 1, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: broadMauTranslationFreq.setStatus('deprecated') snmpDot3MauTraps = MibIdentifier((1, 3, 6, 1, 2, 1, 26, 0)) rpMauJabberTrap = NotificationType((1, 3, 6, 1, 2, 1, 26, 0, 1)).setObjects(("MAU-MIB", "rpMauJabberState")) if mibBuilder.loadTexts: rpMauJabberTrap.setStatus('current') ifMauJabberTrap = NotificationType((1, 3, 6, 1, 2, 1, 26, 0, 2)).setObjects(("MAU-MIB", "ifMauJabberState")) if mibBuilder.loadTexts: ifMauJabberTrap.setStatus('current') mauModConf = MibIdentifier((1, 3, 6, 1, 2, 1, 26, 6, 1)) mauModCompls = MibIdentifier((1, 3, 6, 1, 2, 1, 26, 6, 1, 1)) mauModObjGrps = MibIdentifier((1, 3, 6, 1, 2, 1, 26, 6, 1, 2)) mauModNotGrps = MibIdentifier((1, 3, 6, 1, 2, 1, 26, 6, 1, 3)) mauRpGrpBasic = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 1)).setObjects(("MAU-MIB", "rpMauGroupIndex"), ("MAU-MIB", "rpMauPortIndex"), ("MAU-MIB", "rpMauIndex"), ("MAU-MIB", "rpMauType"), ("MAU-MIB", "rpMauStatus"), ("MAU-MIB", "rpMauMediaAvailable"), ("MAU-MIB", "rpMauMediaAvailableStateExits"), ("MAU-MIB", "rpMauJabberState"), ("MAU-MIB", "rpMauJabberingStateEnters")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauRpGrpBasic = mauRpGrpBasic.setStatus('current') mauRpGrp100Mbs = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 2)).setObjects(("MAU-MIB", "rpMauFalseCarriers")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauRpGrp100Mbs = mauRpGrp100Mbs.setStatus('current') mauRpGrpJack = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 3)).setObjects(("MAU-MIB", "rpJackType")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauRpGrpJack = mauRpGrpJack.setStatus('current') mauIfGrpBasic = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 4)).setObjects(("MAU-MIB", "ifMauIfIndex"), ("MAU-MIB", "ifMauIndex"), ("MAU-MIB", "ifMauType"), ("MAU-MIB", "ifMauStatus"), ("MAU-MIB", "ifMauMediaAvailable"), ("MAU-MIB", "ifMauMediaAvailableStateExits"), ("MAU-MIB", "ifMauJabberState"), ("MAU-MIB", "ifMauJabberingStateEnters")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauIfGrpBasic = mauIfGrpBasic.setStatus('current') mauIfGrp100Mbs = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 5)).setObjects(("MAU-MIB", "ifMauFalseCarriers"), ("MAU-MIB", "ifMauTypeList"), ("MAU-MIB", "ifMauDefaultType"), ("MAU-MIB", "ifMauAutoNegSupported")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauIfGrp100Mbs = mauIfGrp100Mbs.setStatus('deprecated') mauIfGrpJack = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 6)).setObjects(("MAU-MIB", "ifJackType")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauIfGrpJack = mauIfGrpJack.setStatus('current') mauIfGrpAutoNeg = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 7)).setObjects(("MAU-MIB", "ifMauAutoNegAdminStatus"), ("MAU-MIB", "ifMauAutoNegRemoteSignaling"), ("MAU-MIB", "ifMauAutoNegConfig"), ("MAU-MIB", "ifMauAutoNegCapability"), ("MAU-MIB", "ifMauAutoNegCapAdvertised"), ("MAU-MIB", "ifMauAutoNegCapReceived"), ("MAU-MIB", "ifMauAutoNegRestart")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauIfGrpAutoNeg = mauIfGrpAutoNeg.setStatus('deprecated') mauBroadBasic = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 8)).setObjects(("MAU-MIB", "broadMauIfIndex"), ("MAU-MIB", "broadMauIndex"), ("MAU-MIB", "broadMauXmtRcvSplitType"), ("MAU-MIB", "broadMauXmtCarrierFreq"), ("MAU-MIB", "broadMauTranslationFreq")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauBroadBasic = mauBroadBasic.setStatus('deprecated') mauIfGrpHighCapacity = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 9)).setObjects(("MAU-MIB", "ifMauFalseCarriers"), ("MAU-MIB", "ifMauTypeListBits"), ("MAU-MIB", "ifMauDefaultType"), ("MAU-MIB", "ifMauAutoNegSupported")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauIfGrpHighCapacity = mauIfGrpHighCapacity.setStatus('current') mauIfGrpAutoNeg2 = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 10)).setObjects(("MAU-MIB", "ifMauAutoNegAdminStatus"), ("MAU-MIB", "ifMauAutoNegRemoteSignaling"), ("MAU-MIB", "ifMauAutoNegConfig"), ("MAU-MIB", "ifMauAutoNegCapabilityBits"), ("MAU-MIB", "ifMauAutoNegCapAdvertisedBits"), ("MAU-MIB", "ifMauAutoNegCapReceivedBits"), ("MAU-MIB", "ifMauAutoNegRestart")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauIfGrpAutoNeg2 = mauIfGrpAutoNeg2.setStatus('current') mauIfGrpAutoNeg1000Mbps = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 11)).setObjects(("MAU-MIB", "ifMauAutoNegRemoteFaultAdvertised"), ("MAU-MIB", "ifMauAutoNegRemoteFaultReceived")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauIfGrpAutoNeg1000Mbps = mauIfGrpAutoNeg1000Mbps.setStatus('current') mauIfGrpHCStats = ObjectGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 2, 12)).setObjects(("MAU-MIB", "ifMauHCFalseCarriers")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauIfGrpHCStats = mauIfGrpHCStats.setStatus('current') rpMauNotifications = NotificationGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 3, 1)).setObjects(("MAU-MIB", "rpMauJabberTrap")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): rpMauNotifications = rpMauNotifications.setStatus('current') ifMauNotifications = NotificationGroup((1, 3, 6, 1, 2, 1, 26, 6, 1, 3, 2)).setObjects(("MAU-MIB", "ifMauJabberTrap")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ifMauNotifications = ifMauNotifications.setStatus('current') mauModRpCompl = ModuleCompliance((1, 3, 6, 1, 2, 1, 26, 6, 1, 1, 1)).setObjects(("MAU-MIB", "mauRpGrpBasic"), ("MAU-MIB", "mauRpGrp100Mbs"), ("MAU-MIB", "mauRpGrpJack"), ("MAU-MIB", "rpMauNotifications")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauModRpCompl = mauModRpCompl.setStatus('deprecated') mauModIfCompl = ModuleCompliance((1, 3, 6, 1, 2, 1, 26, 6, 1, 1, 2)).setObjects(("MAU-MIB", "mauIfGrpBasic"), ("MAU-MIB", "mauIfGrp100Mbs"), ("MAU-MIB", "mauIfGrpJack"), ("MAU-MIB", "mauIfGrpAutoNeg"), ("MAU-MIB", "mauBroadBasic"), ("MAU-MIB", "ifMauNotifications")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauModIfCompl = mauModIfCompl.setStatus('deprecated') mauModIfCompl2 = ModuleCompliance((1, 3, 6, 1, 2, 1, 26, 6, 1, 1, 3)).setObjects(("MAU-MIB", "mauIfGrpBasic"), ("MAU-MIB", "mauIfGrpHighCapacity"), ("MAU-MIB", "mauIfGrpJack"), ("MAU-MIB", "mauIfGrpAutoNeg2"), ("MAU-MIB", "mauIfGrpAutoNeg1000Mbps"), ("MAU-MIB", "ifMauNotifications")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauModIfCompl2 = mauModIfCompl2.setStatus('deprecated') mauModRpCompl2 = ModuleCompliance((1, 3, 6, 1, 2, 1, 26, 6, 1, 1, 4)).setObjects(("MAU-MIB", "mauRpGrpBasic"), ("MAU-MIB", "mauRpGrp100Mbs"), ("MAU-MIB", "mauRpGrpJack"), ("MAU-MIB", "rpMauNotifications")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauModRpCompl2 = mauModRpCompl2.setStatus('current') mauModIfCompl3 = ModuleCompliance((1, 3, 6, 1, 2, 1, 26, 6, 1, 1, 5)).setObjects(("MAU-MIB", "mauIfGrpBasic"), ("MAU-MIB", "mauIfGrpHighCapacity"), ("MAU-MIB", "mauIfGrpHCStats"), ("MAU-MIB", "mauIfGrpJack"), ("MAU-MIB", "mauIfGrpAutoNeg2"), ("MAU-MIB", "mauIfGrpAutoNeg1000Mbps"), ("MAU-MIB", "ifMauNotifications")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): mauModIfCompl3 = mauModIfCompl3.setStatus('current') mibBuilder.exportSymbols("MAU-MIB", mauIfGrpJack=mauIfGrpJack, mauModNotGrps=mauModNotGrps, ifMauStatus=ifMauStatus, ifJackEntry=ifJackEntry, ifMauAutoNegCapReceived=ifMauAutoNegCapReceived, mauModConf=mauModConf, mauRpGrp100Mbs=mauRpGrp100Mbs, rpMauTable=rpMauTable, rpMauStatus=rpMauStatus, ifMauNotifications=ifMauNotifications, ifMauJabberingStateEnters=ifMauJabberingStateEnters, ifMauAutoNegEntry=ifMauAutoNegEntry, rpJackIndex=rpJackIndex, mauModIfCompl2=mauModIfCompl2, mauModIfCompl3=mauModIfCompl3, ifMauAutoNegSupported=ifMauAutoNegSupported, ifMauJabberState=ifMauJabberState, mauModRpCompl2=mauModRpCompl2, dot3BroadMauBasicGroup=dot3BroadMauBasicGroup, broadMauXmtCarrierFreq=broadMauXmtCarrierFreq, rpMauJabberState=rpMauJabberState, ifMauAutoNegRemoteSignaling=ifMauAutoNegRemoteSignaling, ifMauFalseCarriers=ifMauFalseCarriers, dot3RpMauBasicGroup=dot3RpMauBasicGroup, ifMauAutoNegCapability=ifMauAutoNegCapability, mauRpGrpBasic=mauRpGrpBasic, rpJackType=rpJackType, ifMauMediaAvailable=ifMauMediaAvailable, rpJackTable=rpJackTable, mauModObjGrps=mauModObjGrps, ifMauAutoNegCapabilityBits=ifMauAutoNegCapabilityBits, rpMauMediaAvailableStateExits=rpMauMediaAvailableStateExits, ifMauAutoNegConfig=ifMauAutoNegConfig, rpMauIndex=rpMauIndex, broadMauIfIndex=broadMauIfIndex, ifMauType=ifMauType, ifJackIndex=ifJackIndex, ifMauTable=ifMauTable, snmpDot3MauTraps=snmpDot3MauTraps, mauIfGrpBasic=mauIfGrpBasic, rpMauJabberingStateEnters=rpMauJabberingStateEnters, broadMauTranslationFreq=broadMauTranslationFreq, ifMauHCFalseCarriers=ifMauHCFalseCarriers, mauModRpCompl=mauModRpCompl, mauIfGrpHighCapacity=mauIfGrpHighCapacity, ifMauAutoNegCapReceivedBits=ifMauAutoNegCapReceivedBits, broadMauXmtRcvSplitType=broadMauXmtRcvSplitType, mauModCompls=mauModCompls, PYSNMP_MODULE_ID=mauMod, ifMauAutoNegRemoteFaultAdvertised=ifMauAutoNegRemoteFaultAdvertised, rpMauNotifications=rpMauNotifications, ifMauAutoNegAdminStatus=ifMauAutoNegAdminStatus, ifMauJabberTrap=ifMauJabberTrap, rpMauPortIndex=rpMauPortIndex, mauModIfCompl=mauModIfCompl, rpMauFalseCarriers=rpMauFalseCarriers, mauIfGrpAutoNeg1000Mbps=mauIfGrpAutoNeg1000Mbps, ifMauTypeListBits=ifMauTypeListBits, rpMauJabberTrap=rpMauJabberTrap, snmpDot3MauMgt=snmpDot3MauMgt, ifMauIndex=ifMauIndex, rpMauType=rpMauType, ifMauTypeList=ifMauTypeList, dot3IfMauBasicGroup=dot3IfMauBasicGroup, broadMauIndex=broadMauIndex, mauIfGrpAutoNeg=mauIfGrpAutoNeg, rpMauGroupIndex=rpMauGroupIndex, broadMauBasicEntry=broadMauBasicEntry, rpMauMediaAvailable=rpMauMediaAvailable, ifMauAutoNegCapAdvertisedBits=ifMauAutoNegCapAdvertisedBits, ifMauAutoNegRestart=ifMauAutoNegRestart, ifJackType=ifJackType, mauMod=mauMod, ifMauAutoNegTable=ifMauAutoNegTable, ifMauAutoNegCapAdvertised=ifMauAutoNegCapAdvertised, mauIfGrp100Mbs=mauIfGrp100Mbs, JackType=JackType, rpJackEntry=rpJackEntry, mauIfGrpAutoNeg2=mauIfGrpAutoNeg2, ifMauMediaAvailableStateExits=ifMauMediaAvailableStateExits, mauRpGrpJack=mauRpGrpJack, ifJackTable=ifJackTable, ifMauEntry=ifMauEntry, rpMauEntry=rpMauEntry, mauIfGrpHCStats=mauIfGrpHCStats, ifMauAutoNegRemoteFaultReceived=ifMauAutoNegRemoteFaultReceived, ifMauDefaultType=ifMauDefaultType, dot3IfMauAutoNegGroup=dot3IfMauAutoNegGroup, broadMauBasicTable=broadMauBasicTable, mauBroadBasic=mauBroadBasic, ifMauIfIndex=ifMauIfIndex)

119.337963

3,298

0.736858

2,895

25,777

6.559931

0.094991

0.013164

0.016113

0.018956

0.446633

0.4103

0.359223

0.346269

0.304987

0

0.071596

0.088606

25,777

215

3,299

119.893023

0.736773

0.011949

0

0.094059

0

0.178908

0.027141

0

1

0

false

0

0.039604

0

0.059406

0

null

0

1

0

null

0

2

311a02d0e9290ac29bd0a8ece1c383263eea1e7e

1,255

py

Python

dyex/functions/function.py

jsistos/derivative-calculator

611861caef87cace7ff39ebdd6e40eb8b4097d12

[ "Apache-2.0" ]

null

dyex/functions/function.py

jsistos/derivative-calculator

611861caef87cace7ff39ebdd6e40eb8b4097d12

[ "Apache-2.0" ]

null

dyex/functions/function.py

jsistos/derivative-calculator

611861caef87cace7ff39ebdd6e40eb8b4097d12

[ "Apache-2.0" ]

null

class Function(): def __init__(self, name): self.name = name self._args = [] return None def __add__(self, other): import dyex.functions.operator as op return op.Sum(self, other) def __mul__(self, other): import dyex.functions.operator as op import dyex.functions.elementary as elem if isinstance(other, (int, float)): return op.Mul(self, elem.Const(other)) return op.Mul(self, other) def __rmul__(self, other): import dyex.functions.operator as op import dyex.functions.elementary as elem if isinstance(other, (int, float)): return op.Mul(elem.Const(other), self) return op.Mul(other, self) def __truediv__(self, other): import dyex.functions.operator as op return op.Div(self, other) def __sub__(self, other): import dyex.functions.elementary as elem return self + elem.Const(-1) * other def __pow__(self, degree): import dyex.functions.elementary as elem if isinstance(degree, (int, float)): return elem.Poly(self, degree) return elem.Poly(self, degree.value) #def __init__(self, func_string = ""):

29.880952

50

0.609562

156

1,255

4.685897

0.237179

0.098495

0.207934

0.129959

0.625171

0.547196

0.499316

0.435021

0

0.001121

0.289243

1,255

42

51

29.880952

0.818386

0.029482

0

0.322581

0

1

0.225806

false

0

0.258065

0

0.83871

0

null

0

1

0

null

0

1

0

2

312d737c3bde445a9c9489e8198e4a1d10e9df90

1,207

py

Python

examples/python/block/block_consensus.py

rockacola/neo-smart-contract-examples

d358c31d99fd7c2eed29008f92c123968ef94b0a

[ "MIT" ]

15

2018-03-04T10:39:41.000Z

2021-12-02T11:07:10.000Z

examples/python/block/block_consensus.py

rockacola/neo-smart-contract-examples

d358c31d99fd7c2eed29008f92c123968ef94b0a

[ "MIT" ]

1

2018-07-09T08:18:48.000Z

2019-10-23T14:40:11.000Z

examples/python/block/block_consensus.py

rockacola/neo-smart-contract-examples

d358c31d99fd7c2eed29008f92c123968ef94b0a

[ "MIT" ]

7

2018-02-27T23:26:46.000Z

2021-08-18T05:45:37.000Z

""" Date Created: 2018-02-28 Date Modified: 2018-02-28 Version: 1 Contract Hash: 6f873e1c9b6f306fb41f9a9a81ce32df726a1fb4 Available on NEO TestNet: False Available on CoZ TestNet: False Available on MainNet: False Example: (return as bytearray) Test Invoke: build /path/to/block-consensus.py test 02 05 False False 1 Expected Result: b'd<\t6\xaf\x9c\xdb\xb4\x00' Operation Count: 53 GAS Consumption: 0.144 Example: (return as integer) Test Invoke: build /path/to/block-consensus.py test 02 02 False False 1 Expected Result: 13032182223066446948 Operation Count: 53 GAS Consumption: 0.144 """ from boa.blockchain.vm.Neo.Blockchain import GetHeader from boa.blockchain.vm.Neo.Header import GetHash, GetConsensusData, GetNextConsensus # All these references are needed def Main(height): """ :param height: The input block height :type height: int :return: Block consensus data of the input block height :rtype: bytearray """ header = GetHeader(height) consensus = header.ConsensusData return consensus

31.763158

119

0.657001

146

1,207

5.431507

0.527397

0.041614

0.020177

0.058008

0.312736

0.194199

0.108449

0

0.099089

0.272577

1,207

37

120

32.621622

0.8041

0.748964

0

1

0.166667

false

0

0.333333

0

0.666667

0

null

0

null

0

1

0

1

0

2

31383c8762f89e4b5a672a75159d6903b307cd10

2,835

py

Python

Mask_RCNN/utils/mask_model.py

adesgautam/objdet

7154bd5035dd51de8a49b7ae59b65277a1727263

[ "MIT" ]

null

Mask_RCNN/utils/mask_model.py

adesgautam/objdet

7154bd5035dd51de8a49b7ae59b65277a1727263

[ "MIT" ]

14

2020-09-25T22:42:09.000Z

2022-03-12T00:39:57.000Z

Mask_RCNN/utils/mask_model.py

adesgautam/objdet

7154bd5035dd51de8a49b7ae59b65277a1727263

[ "MIT" ]

null

import os import cv2 import sys import random import math import re import numpy as np import pandas as pd import warnings import tensorflow as tf import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.patches as patches import skimage import glob import ntpath import itertools import urllib import json import base64 import string import keras from mrcnn import utils from mrcnn import visualize from mrcnn.visualize import display_images import mrcnn.model as modellib from mrcnn.model import log from mrcnn.config import Config from tensorflow.python.keras.backend import set_session def fxn(): warnings.warn("deprecated", DeprecationWarning) with warnings.catch_warnings(): warnings.simplefilter("ignore") fxn() class BalloonConfig(Config): """Configuration for training on the toy dataset. Derives from the base Config class and overrides some values. """ NAME = "mydataset" # We use a GPU with 12GB memory, which can fit two images. # Adjust down if you use a smaller GPU. IMAGES_PER_GPU = 1 NUM_CLASSES = 1 + 1 # Background + class1 # Number of training steps per epoch STEPS_PER_EPOCH = 100 # Skip detections with < 90% confidence DETECTION_MIN_CONFIDENCE = 0.9 def get_ax(rows=1, cols=1, size=16): """Return a Matplotlib Axes array to be used in all visualizations in the notebook. Provide a central point to control graph sizes. Adjust the size attribute to control how big to render images """ _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows)) return ax # Directory to save logs and trained model MODEL_DIR = 'logs' custom_WEIGHTS_PATH = "models/mask_rcnn_trained_weights.h5" # TODO: update this path global graph graph = tf.get_default_graph() config = BalloonConfig() dataset = {} class InferenceConfig(config.__class__): # Run detection on one image at a time GPU_COUNT = 1 IMAGES_PER_GPU = 1 config = InferenceConfig() config.display() DEVICE = "/cpu:0" with tf.device(DEVICE): model = modellib.MaskRCNN(mode="inference", model_dir=MODEL_DIR, config=config) session = tf.Session() init = tf.global_variables_initializer() set_session(session) model.load_weights(custom_WEIGHTS_PATH, by_name=True) def model_predict(image_path): image = skimage.io.imread(image_path) dataset['class_names'] = ['BG','class1'] results = '' with graph.as_default(): results = model.detect([image], verbose=1) ax = get_ax(1) r = results[0] masked_image = visualize.display_instances(image, r['rois'], r['masks'], r['class_ids'], dataset['class_names'], r['scores'], ax=ax, title="Predictions") return masked_image

23.429752

93

0.705115

389

2,835

5.017995

0.470437

0.023053

0.015369

0.01332

0

0.012511

0.210582

2,835

120

94

23.625

0.859696

0.208466

0

0.026667

0

0.067277

0.016018

0

0.008333

0

1

0.04

false

0

0.386667

0

0.573333

0

null

0

null

0

1

0

1

0

2

3144caec6ad8e4e13fd6b2138e8c08ab5ee3a0df

60

py

Python

course_path/config.py

jeff4elee/course_path

a0f0c227a7caa2243cbb99f6cc534500cf37f58a

[ "MIT" ]

null

course_path/config.py

jeff4elee/course_path

a0f0c227a7caa2243cbb99f6cc534500cf37f58a

[ "MIT" ]

null

course_path/config.py

jeff4elee/course_path

a0f0c227a7caa2243cbb99f6cc534500cf37f58a

[ "MIT" ]

null

WTF_CSRF_ENABLED = True SECRET_KEY = 'w0w?goodhaxorskillz!'

20

35

0.8

8

60

5.625

1

0

0.018519

0.1

60

2

36

30

0.814815

0

0.333333

0

1

0

false

0

1

0

null

0

1

0

null

0

2

314ec824e867c366cc82116a3197e8f2f1296571

154

py

Python

day1/puzzle1/solve.py

andrewthetechie/adventofcode21

757ea2fe2701dd6ab1d3a512f92ace600a6457e6

[ "MIT" ]

null

day1/puzzle1/solve.py

andrewthetechie/adventofcode21

757ea2fe2701dd6ab1d3a512f92ace600a6457e6

[ "MIT" ]

null

day1/puzzle1/solve.py

andrewthetechie/adventofcode21

757ea2fe2701dd6ab1d3a512f92ace600a6457e6

[ "MIT" ]

null

from itertools import islice with open('input', 'r') as fh: data = fh.readlines() print(sum(n1 < n2 for n1, n2 in zip(data, islice(data, 1, None))))

25.666667

66

0.655844

27

154

3.740741

0.777778

0.079208

0

0.039683

0.181818

154

6

66

25.666667

0.761905

0

0.03871

0

1

0

false

0

0.25

0

0.25

1

0

null

0

1

0

null

0

2

3154926ffdcd85f061fe9e8438e36d4e20fc2163

119

py

Python

python-para-zumbis/while.py

kidchenko/playground

750f1d12a793f6851df68bbd1b9d3ec32b5f70a3

[ "MIT" ]

4

2016-11-10T02:29:32.000Z

2017-08-24T15:19:12.000Z

python-para-zumbis/while.py

kidchenko/playground

750f1d12a793f6851df68bbd1b9d3ec32b5f70a3

[ "MIT" ]

13

2019-09-16T20:01:18.000Z

2022-02-13T11:00:49.000Z

python-para-zumbis/while.py

kidchenko/playground

750f1d12a793f6851df68bbd1b9d3ec32b5f70a3

[ "MIT" ]

1

2022-02-24T06:35:25.000Z

numero = int(input('Digite um numero: ')) count = 1 while count <= numero: print(count) count = count + 1

19.833333

42

0.596639

16

119

4.4375

0.5625

0.169014

0

0.022989

0.268908

119

5

43

23.8

0.793103

0

0.157895

0

1

0

false

0

0.2

1

0

null

0

1

0

null

0

2

3154df9c573e581b7325d09b6a15d6724fef2c00

1,368

py

Python

examples/huawei.py

joysboy/ncclient

0bae05d0e9a00ad4dfacf57f2a177b8bb44af4dd

[ "Apache-2.0" ]

null

examples/huawei.py

joysboy/ncclient

0bae05d0e9a00ad4dfacf57f2a177b8bb44af4dd

[ "Apache-2.0" ]

null

examples/huawei.py

joysboy/ncclient

0bae05d0e9a00ad4dfacf57f2a177b8bb44af4dd

[ "Apache-2.0" ]

null

#! /usr/bin/env python2.6 # # Connect to the NETCONF server passed on the command line and # display their capabilities. This script and the following scripts # all assume that the user calling the script is known by the server # and that suitable SSH keys are in place. For brevity and clarity # of the examples, we omit proper exception handling. # # $ ./nc01.py broccoli import sys from ncclient import manager filter_vlan_snippet = """ <vlan xmlns="http://www.huawei.com/netconf/vrp" content-version="1.0" format-version="1.0"> </vlan>""" def create_vlan(mgr, vlanid, vlanname): snippet = """ <vlan xmlns="http://www.huawei.com/netconf/vrp" content-version="1.0" format-version="1.0"> <vlans> <vlan> <vlanId>%s</vlanId> <vlanName/> <vlanDesc>%s</vlanDesc> </vlan> </vlans> </vlan>""" confstr = snippet % (vlanid, vlanname) mgr.edit_config(target='running', config=confstr) def test_huawei_api(host, user, password): device = {"name": "huawei"} with manager.connect(host, port=830, user=user, password=password, device_params=device) as m: create_vlan(m, '20', 'customer') result = m.get_config(source="running", filter=("subtree", filter_vlan_snippet)) print result if __name__ == '__main__': test_huawei_api(sys.argv[1], sys.argv[2], sys.argv[3])

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null

0

1

0

1

0

2

3166bee530e1c4f5f751bb83b551a0c09306e4d7

845

py

Python

PropelRapp/migrations/0010_auto_20200507_0705.py

Adi1222/PropelR

453196cb8ad7c251b650c6bd147a8be5ee8eed50

[ "MIT" ]

1

2021-12-03T11:24:57.000Z

PropelRapp/migrations/0010_auto_20200507_0705.py

Adi1222/PropelR

453196cb8ad7c251b650c6bd147a8be5ee8eed50

[ "MIT" ]

null

PropelRapp/migrations/0010_auto_20200507_0705.py

Adi1222/PropelR

453196cb8ad7c251b650c6bd147a8be5ee8eed50

[ "MIT" ]

null

# Generated by Django 2.2.1 on 2020-05-07 07:05 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('PropelRapp', '0009_auto_20200506_0627'), ] operations = [ migrations.AddField( model_name='menu', name='is_deleted', field=models.CharField(choices=[('N', 'NO'), ('Y', 'YES')], default='N', max_length=1), ), migrations.AddField( model_name='role', name='is_deleted', field=models.CharField(choices=[('N', 'NO'), ('Y', 'YES')], default='N', max_length=1), ), migrations.AddField( model_name='submenu', name='is_deleted', field=models.CharField(choices=[('N', 'NO'), ('Y', 'YES')], default='N', max_length=1), ), ]

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845

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0.155405

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null

0

1

0

1

0

null

0

2

316777370d8603e8a2e1b38ab9370254efa8d5b3

1,352

py

Python

skunkbooth/utils/settings.py

codephile1221/SkunkBooth

dd174cac3af409fe72e5ca568bd4cb9048b0facb

[ "MIT" ]

41

2021-08-01T06:20:34.000Z

2022-03-20T07:15:23.000Z

skunkbooth/utils/settings.py

codephile1221/SkunkBooth

dd174cac3af409fe72e5ca568bd4cb9048b0facb

[ "MIT" ]

37

2021-08-03T03:17:03.000Z

2022-01-18T03:42:09.000Z

skunkbooth/utils/settings.py

codephile1221/SkunkBooth

dd174cac3af409fe72e5ca568bd4cb9048b0facb

[ "MIT" ]

10

2021-08-03T16:56:37.000Z

2022-02-08T00:11:01.000Z

from collections.abc import MutableMapping from yaml import dump, safe_load from skunkbooth.data.defaults import _settings class _makesettings(MutableMapping): """Metaclass for settings""" def __init__(self, *args): try: with open(_settings["SETTINGS_FILE"]) as f: self.store = safe_load(f) if self.store is None: self.store = {} except FileNotFoundError: self.store = {} # Load default values if unset for i in _settings: if i not in self.store: self.store[i] = _settings[i] with open(_settings["SETTINGS_FILE"], "w") as f: f.write(dump(self.store)) def __getitem__(self, key: str): return self.store[self._keytransform(key)] def __setitem__(self, key: str, val: str): self.store[self._keytransform(key)] = val with open(self["SETTINGS_FILE"], "w") as f: f.write(dump(self.store)) def __delitem__(self, key: str): del self.store[self._keytransform(key)] def __iter__(self): return iter(self.store) def __len__(self): return len(self.store) def _keytransform(self, key: str) -> str: return key class settings(metaclass=_makesettings): """Produced by _makesettings""" pass

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null

0

null

0

1

0

1

0

2

316c7c586a2d2c1d1e73b722317f4c9548460590

512

py

Python

sun_horizon.py

sraaphorst/gem_adapt_queue

acaca3583cd93a377e7b7e2d58e938057271c642

[ "BSD-3-Clause" ]

null

sun_horizon.py

sraaphorst/gem_adapt_queue

acaca3583cd93a377e7b7e2d58e938057271c642

[ "BSD-3-Clause" ]

null

sun_horizon.py

sraaphorst/gem_adapt_queue

acaca3583cd93a377e7b7e2d58e938057271c642

[ "BSD-3-Clause" ]

null

# Bryan Miller 2004 # Converted to python - Matt Bonnyman 2018-07-12 import numpy as np import astropy.units as u def sun_horizon(site): """ Calculate angle between sun and horizon at sunset for observer's location. Parameter --------- site : '~astroplan.Observer' Return -------- '~astropy.units.Quantity' """ sun_horiz = -.83 * u.deg equat_radius = 6378137. * u.m return sun_horiz - np.sqrt(2. * site.location.height / equat_radius) * (180. / np.pi) * u.deg

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null

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null

0

1

0

1

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2

3171fa89da789bf7cf6300c8975e8ccbc54fb920

173

py

Python

app/core/config.py

Luivatra/ergopad-api

e3bcf93bf61509b3aa96b62603268acd399bbc28

[ "MIT" ]

null

app/core/config.py

Luivatra/ergopad-api

e3bcf93bf61509b3aa96b62603268acd399bbc28

[ "MIT" ]

23

2022-03-09T11:31:32.000Z

2022-03-31T08:53:27.000Z

app/core/config.py

Luivatra/ergopad-api

e3bcf93bf61509b3aa96b62603268acd399bbc28

[ "MIT" ]

2

2022-02-16T03:40:05.000Z

2022-02-16T22:40:15.000Z

from config import Config, Network # api specific config CFG = Config[Network] PROJECT_NAME = "ERGOPAD" SQLALCHEMY_DATABASE_URI = CFG.connectionString API_V1_STR = "/api"

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null

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null

0

2

31797f997703235c197bcffb46b8801810970703

377

py

Python

holobot/discord/sdk/context_menus/models/server_message_interaction_context.py

rexor12/holobot

89b7b416403d13ccfeee117ef942426b08d3651d

[ "MIT" ]

1

2021-05-24T00:17:46.000Z

holobot/discord/sdk/context_menus/models/server_message_interaction_context.py

rexor12/holobot

89b7b416403d13ccfeee117ef942426b08d3651d

[ "MIT" ]

41

2021-03-24T22:50:09.000Z

2021-12-17T12:15:13.000Z

holobot/discord/sdk/context_menus/models/server_message_interaction_context.py

rexor12/holobot

89b7b416403d13ccfeee117ef942426b08d3651d

[ "MIT" ]

null

from dataclasses import dataclass from holobot.discord.sdk.models import InteractionContext @dataclass class ServerMessageInteractionContext(InteractionContext): """A context for server-specific message context menu interactions.""" server_id: str = "" server_name: str = "" channel_id: str = "" target_message_id: str = "" target_author_id: str = ""

29

74

0.734748

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377

6.585366

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0.074074

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0

0.172414

377

12

75

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0.865385

0.169761

0

1

0

true

0

0.222222

0

0.888889

0

null

0

null

0

1

0

1

0

2

3188cd98434d8325537fe660f15fff1b9617882d

2,238

py

Python

drivers/migrations/0001_initial.py

CaveBushman/carssoft

dee50e3dee8a22272a601e31f62afef95e951a8c

[ "MIT" ]

null

drivers/migrations/0001_initial.py

CaveBushman/carssoft

dee50e3dee8a22272a601e31f62afef95e951a8c

[ "MIT" ]

null

drivers/migrations/0001_initial.py

CaveBushman/carssoft

dee50e3dee8a22272a601e31f62afef95e951a8c

[ "MIT" ]

null

# Generated by Django 3.2.7 on 2021-09-28 14:27 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Address', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('street', models.CharField(max_length=100)), ('city', models.CharField(max_length=100)), ('zip', models.CharField(max_length=10)), ('state', models.CharField(max_length=50)), ], ), migrations.CreateModel( name='Driver', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('first_name', models.CharField(max_length=100)), ('last_name', models.CharField(max_length=100)), ('image', models.ImageField(null=True, upload_to='')), ('email', models.EmailField(max_length=100, null=True)), ('tel', models.CharField(max_length=10)), ('driving_licence_no', models.CharField(max_length=20)), ('driving_licence_issued', models.CharField(max_length=50)), ('driving_licence_classes_A', models.BooleanField(default=False)), ('driving_licence_classes_B', models.BooleanField(default=False)), ('driving_licence_classes_C', models.BooleanField(default=False)), ('driving_licence_classes_D', models.BooleanField(default=False)), ('driving_licence_classes_E', models.BooleanField(default=False)), ('driving_licence_classes_T', models.BooleanField(default=False)), ('driving_licence_valid_to', models.DateField(null=True)), ('created', models.DateField(auto_now_add=True)), ('updated', models.DateField(auto_now=True)), ('address', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='drivers.address')), ], ), ]

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null

0

1

0

1

0

null

0

2

3197dd5bcad09aa8476c9d8d828abba80c74ab61

1,711

py

Python

tools/ner_tool.py

ownthink/qimen

278d2e4d97948c40e53dab5f764e19bd4169ba91

[ "MIT" ]

26

2019-04-19T13:15:20.000Z

2022-02-07T08:47:14.000Z

tools/ner_tool.py

ownthink/qimen

278d2e4d97948c40e53dab5f764e19bd4169ba91

[ "MIT" ]

null

tools/ner_tool.py

ownthink/qimen

278d2e4d97948c40e53dab5f764e19bd4169ba91

[ "MIT" ]

17

2019-04-19T13:13:28.000Z

2022-01-18T07:38:09.000Z

#!/usr/bin/env python # coding=UTF-8 ''' @Description: NER工具父类 @Author: ansvver(ansvver.cn@gmail.com) @Date: 2019-04-20 14:06:51 @LastEditTime: 2019-04-20 16:59:05 ''' import sys import json from typing import List # 全局的实体标签字典，key -> 大写字母单词缩写, value -> (中文简短描述, 附加备注信息) GLOBAL_TAG_DICT = {"SAMPLE": ("示例", "示例例子，后续正式发版可考虑删除")} class Entity(object): """实体类""" def __init__(self): self._tag = '' # 大写字母单词缩写, 如"EMAIL"、 "PHONE"等，请在`GLOBAL_TAG_DICT`中注册 self._word = '' # 句子中识别出来的名词 self._start = -1 # Optional, 在句子中的起始下标，注意下标从0开始 self._end = -1 # Optional, 在句子中的结束下标，注意下标从0开始 @property def tag(self) -> str: return self._tag @tag.setter def tag(self, value: str): assert value.upper( ) in GLOBAL_TAG_DICT, '请确认tag标签已在`GLOBAL_TAG_DICT`中注册！' self._tag = value @property def word(self) -> str: return self._word @word.setter def word(self, value: str): self._word = value @property def start(self) -> int: return self._start @start.setter def start(self, value: int): assert value >= 0, '请确保下标>0' self._start = value @property def end(self) -> int: return self._end @end.setter def end(self, value: int): assert value >= 0, '请确保下标>0' self._end = value def __str__(self): return json.dumps(self.__dict__, ensure_ascii=False) class NERTool(object): """实体识别工具父类""" def __init__(self): super(NERTool, self).__init__() def ner(self, inputs: List[str]) -> List[List[Entity]]: """子类需重写此函数, 输入是字符列表，输出是实体列表组成的列表（每个句子对应一个实体列表）""" raise NotImplementedError

22.513158

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0.052052

0.032032

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0.023994

0

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0.266667

false

0

0.066667

0.111111

0.488889

0

null

0

null

0

1

0

1

0

2

319ca23d604244f271178225c6dba2ba8abe6a11

1,847

py

Python

pysb/examples/paper_figures/fig2a.py

PhilippBoeing/synbioweaver

23efdf79a325885a43e82ba13e6ccefb8eb3d733

[ "MIT" ]

null

pysb/examples/paper_figures/fig2a.py

PhilippBoeing/synbioweaver

23efdf79a325885a43e82ba13e6ccefb8eb3d733

[ "MIT" ]

null

pysb/examples/paper_figures/fig2a.py

PhilippBoeing/synbioweaver

23efdf79a325885a43e82ba13e6ccefb8eb3d733

[ "MIT" ]

null

"""Elements for Figure 2A from the PySB publication""" from pysb import * from pysb.bng import generate_network, generate_equations import re # This code (pygmentized) is shown in figure S1A as "Basic Implementation" def catalyze(enz, e_site, sub, s_site, prod, klist): kf, kr, kc = klist # Get the parameters from the list # Create the rules rb = Rule('bind_%s_%s' % (enz().monomer.name, sub().monomer.name), enz({e_site:None}) + sub({s_site:None}) <> enz({e_site:1}) % sub({s_site:1}), kf, kr) rc = Rule('catalyze_%s%s_to_%s' % (enz().monomer.name, sub().monomer.name, prod().monomer.name), enz({e_site:1}) % sub({s_site:1}) >> enz({e_site:None}) + prod({s_site:None}), kc) return [rb, rc] Model() Monomer('C8', ['bf']) Monomer('Bid', ['bf', 'state'], {'state': ['U', 'T']}) klist = [Parameter('kf', 1), Parameter('kr', 1), Parameter('kc', 1)] Initial(C8(bf=None), Parameter('C8_0', 100)) Initial(Bid(bf=None, state='U'), Parameter('Bid_0', 100)) # This is the code shown for "Example Macro Call" (not printed here) catalyze(C8, 'bf', Bid(state='U'), 'bf', Bid(state='T'), klist) bng_code = generate_network(model) # Merge continued lines bng_code = bng_code.replace('\\\n', '') generate_equations(model) num_rules = len(model.rules) num_odes = len(model.odes) print "BNGL Rules" print "==========" for line in bng_code.split("\n"): for rule in model.rules: match = re.match(r'^\s*%s:\s*(.*)' % rule.name, line) if match: print match.group(1) print print "ODEs" print "====" for species, ode in zip(model.species, model.odes): print "%s: %s" % (species, ode) def test_fig2a(): assert num_rules == 2, "number of rules not as expected" assert num_odes == 4, "number of odes not as expected"

30.278689

74

0.615051

282

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3.921986

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0.03255

0

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1,847

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0

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null

0

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0

null

0

1

0

null

0

1

0

2

31aa434bdef3fb92b35a07a7af0183757baa59f5

730

py

Python

rolz_bot/embeders/tarot.py

Reriiru/rolz_org_to_discord

caf860585c551d85729b2d9661e8d801750a7aa5

[ "MIT" ]

1

2021-04-15T04:14:55.000Z

rolz_bot/embeders/tarot.py

Reriiru/rolz_org_to_discord

caf860585c551d85729b2d9661e8d801750a7aa5

[ "MIT" ]

null

rolz_bot/embeders/tarot.py

Reriiru/rolz_org_to_discord

caf860585c551d85729b2d9661e8d801750a7aa5

[ "MIT" ]

2

2017-11-05T02:34:35.000Z

2017-11-20T06:00:06.000Z

from discord import Embed, Colour class TarotEmbeder(Embed): def __init__(self, image, username): super().__init__( title=image['Name'], type="rich" ) self.set_image(url=image['Url']) self.colour = Colour.teal() self.description = image['Description'] self.add_field(name="Requester", value=username) class TarotShortEmbeder(Embed): def __init__(self, image, username): super().__init__( title=image['Name'], type="rich" ) self.set_image(url=image['Url']) self.colour = Colour.teal() self.add_field(name="Requester", value=username)

28.076923

56

0.547945

73

730

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0.084211

0.063158

0.084211

0.752632

0.563158

0

0.324658

730

26

57

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0.770791

0

0.7

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false

0

0.05

0

0.25

0

null

0

1

0

null

0

2

31b73596e5273b273b941d4db0879073451d025d

324

py

Python

data/config.py

gemhalo1/libfacedetection.train

fbbf5f3c9da95904ae3b434a875ce98c023962b4

[ "MIT" ]

2

2020-09-26T03:57:07.000Z

2020-09-27T13:21:39.000Z

data/config.py

gemhalo1/libfacedetection.train

fbbf5f3c9da95904ae3b434a875ce98c023962b4

[ "MIT" ]

null

data/config.py

gemhalo1/libfacedetection.train

fbbf5f3c9da95904ae3b434a875ce98c023962b4

[ "MIT" ]

null

# config.py cfg = { 'name': 'YuFaceDetectNet', #'min_sizes': [[32, 64, 128], [256], [512]], #'steps': [32, 64, 128], 'min_sizes': [[10, 16, 24], [32, 48], [64, 96], [128, 192, 256]], 'steps': [8, 16, 32, 64], 'variance': [0.1, 0.2], 'clip': False, 'loc_weight': 1.0, 'gpu_train': True }

23.142857

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0

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0

1

0

false

0

null

0

1

0

1

0

null

0

2

31cad670e4bde75720728036701100192bb49d73

322

py

Python

bauh/gems/arch/config.py

leoneii/bauh

ceef6c30851552ec37e21ef6335a4cbdd126622f

[ "Zlib" ]

1

2020-06-16T17:08:32.000Z

bauh/gems/arch/config.py

leoneii/bauh

ceef6c30851552ec37e21ef6335a4cbdd126622f

[ "Zlib" ]

null

bauh/gems/arch/config.py

leoneii/bauh

ceef6c30851552ec37e21ef6335a4cbdd126622f

[ "Zlib" ]

null

from bauh.commons.config import read_config as read from bauh.gems.arch import CONFIG_FILE def read_config(update_file: bool = False) -> dict: template = {'optimize': True, 'transitive_checking': True, "sync_databases": True, "simple_checking": False} return read(CONFIG_FILE, template, update_file=update_file)

40.25

112

0.767081

45

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322

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null

0

1

0

2

31e1fd2520aba927ec90034cb311be3f0c7290af

4,122

py

Python

PyTangoArchiving/scripts/db_repair.py

sergirubio/PyTangoArchiving

ce66ac0d790984675449687a2901a8ba87274a86

[ "CC-BY-3.0" ]

6

2017-03-15T15:38:44.000Z

2021-06-04T13:46:17.000Z

PyTangoArchiving/scripts/db_repair.py

sergirubio/PyTangoArchiving

ce66ac0d790984675449687a2901a8ba87274a86

[ "CC-BY-3.0" ]

19

2017-04-07T10:20:18.000Z

2022-01-13T14:52:27.000Z

PyTangoArchiving/scripts/db_repair.py

sergirubio/PyTangoArchiving

ce66ac0d790984675449687a2901a8ba87274a86

[ "CC-BY-3.0" ]

9

2017-01-20T11:59:31.000Z

2020-12-08T15:22:36.000Z

#!/usr/bin/python import MySQLdb,sys,time,os try: import fandango except: sys.path.append('/homelocal/sicilia/lib/python/site-packages/') import fandango # Author: osanchez, srubio # ------------------------------- # mysqlcheck --repair --all-databses doesn't works so well otherwise the SQL command REPAIR TABLE... works # properly. # ------------------------------- __doc__="""db_repair.py """ #For a proper definition would be better to have long name before the short name __options__ = [ ('h','help','Show Usage'), ('h','host=','DB Host'), ('n','no-prompt','Dont ask for confirmation'), ('f','force','Check all tables'), ('d:','days=','Number of days to check; 0 for raw check'), ('','','user'), ('','','password')] shorts,ops,longs,args,usage = [],[],[],[],'' for s,l,d in __options__: if not s and not l: args.append(d) else: usage+='\n\t%s%s%s : %s' %(s,l and '/' or '',l,d) if s: (shorts if not s.endswith(':') else ops).append(s) if l: longs.append(l) __usage__ = 'Usage:\n'+'\tdb_repair.py '+'[%s]'%''.join(shorts)+' '+' '.join('[-%s X]'%o[:-1] for o in ops)+' ' +' '.join('[--%s%s]'%(l,'X' if l.endswith('=') else '') for l in longs)+' '+' '.join(args)+'\n'+usage+'\n' def usage(): return __doc__+'\n\n'+__usage__ def do_repair(user,passwd,condition="engine is null",database="information_schema",force=False,days=0,db_host='localhost') : sql = "select CONCAT(table_schema, '.', table_name) from tables where %s" % condition db_con = MySQLdb.connect(db_host, port=3306, user=user,passwd=passwd,db=database) cursor = db_con.cursor() cursor.execute(sql) rset = cursor.fetchall() print '%d tables match condition'%len(rset) now = time.time() days = days or 60 tlimit = fandango.time2str(now-days*24*3600); now = fandango.time2str(now); for item in rset : try: if fandango.isSequence(item): item = item[0] if force: raise Exception,'force=True, all tables to be checked' elif 'att_' in item: q = "select count(*) from %s where time between '%s' and '%s' order by time"%(item,tlimit,now) cursor.execute(q) count = cursor.fetchone()[0] q = "select * from %s where time between '%s' and '%s' order by time"%(item,tlimit,now) print q cursor.execute(q) # desc limit 1'%item); l = len(cursor.fetchall()) if abs(count-l)>5: raise Exception('%d!=%d'%(count,l)) else: raise Exception,'%s is a config table'%item except Exception,e: print e print 'Repairing %s ...' % item cursor.execute('repair table %s' % item) print '[OK]\n' time.sleep(.001) cursor.close() db_con.close() def main(): import getopt t0,t1,t2 = sys.argv[1:],''.join(s for s,l,d in __options__ if s),[l for s,l,d in __options__ if l] print t0,t1,t2 opts,args = getopt.getopt(t0,t1,t2) opts = dict((k.strip('-'),v) for k,v in opts+[('',args)]) t0 = time.time() if any(o in opts for o in ('h','?','help')): print usage() sys.exit() else: if not opts['']: user = raw_input('Enter user:') passwd = raw_input('Enter password:') else: user,passwd = opts[''][:2] db_host = opts.get('host','localhost') os.system('mysqladmin -h %s -u %s -p%s flush-hosts'%(db_host,user,passwd)) condition = 'engine is null OR table_schema like "hdb%%" OR table_schema like "tdb%%"' if 'no-prompt' not in opts: new_condition = raw_input('Query condition (%s):'%condition) condition = new_condition.strip() or condition do_repair(user,passwd,condition,force='force' in opts or 'f' in opts,days=int(opts.get('days',0)),db_host=db_host) print 'database repair finished in %d seconds'%(time.time()-t0) pass if (__name__ == '__main__') : main()

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null

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1

0

1

0

2

31eae7ff18e644d5afcb0edcde68925c01752331

331

py

Python

application/model/layout/serialize/SerializePopup.py

Kzulfazriawan/Stigma-game-demo

971ee90a908784dfe1c9e87733b0394fa2212299

[ "MIT" ]

2

2016-08-09T05:33:21.000Z

2016-10-05T06:34:04.000Z

application/model/layout/serialize/SerializePopup.py

Kzulfazriawan/stigma-game-demo

971ee90a908784dfe1c9e87733b0394fa2212299

[ "MIT" ]

null

application/model/layout/serialize/SerializePopup.py

Kzulfazriawan/stigma-game-demo

971ee90a908784dfe1c9e87733b0394fa2212299

[ "MIT" ]

null

from core import Files from library.stigma.helper import kivyBuilder from library.stigma.application import Popup kivyBuilder(Files.apppath, 'model', 'builder', 'serialize', 'serializepopup.kv') class SerializePopup(Popup): def __init__(self): super(SerializePopup, self).__init__() self.title = "Save / Load"

33.1

80

0.740181

38

331

6.236842

0.631579

0.092827

0.14346

0

0.148036

331

10

81

33.1

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0

1

0.125

false

0

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0

null

0

null

0

1

0

1

0

2

9ec57cf99813f9b4ebd59977cceddc4ef9bbef97

48,874

py

Python

abbotpythonpb/container_pb2.py

arhat-dev/abbot-proto

af3bc030f7090c89b3c54d02e1a92e0fadd990c2

[ "Apache-2.0" ]

null

abbotpythonpb/container_pb2.py

arhat-dev/abbot-proto

af3bc030f7090c89b3c54d02e1a92e0fadd990c2

[ "Apache-2.0" ]

4

2020-10-11T02:19:40.000Z

2020-12-18T21:02:45.000Z

abbotpythonpb/container_pb2.py

arhat-dev/abbot-proto

af3bc030f7090c89b3c54d02e1a92e0fadd990c2

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: container.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from github.com.gogo.protobuf.gogoproto import gogo_pb2 as github_dot_com_dot_gogo_dot_protobuf_dot_gogoproto_dot_gogo__pb2 import meta_pb2 as meta__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='container.proto', package='abbot', syntax='proto3', serialized_options=b'Z\037arhat.dev/abbot-proto/abbotgopb', create_key=_descriptor._internal_create_key, serialized_pb=b'\n\x0f\x63ontainer.proto\x12\x05\x61\x62\x62ot\x1a-github.com/gogo/protobuf/gogoproto/gogo.proto\x1a\nmeta.proto\"\xc9\n\n\nCNICapArgs\x12\x31\n\x0cport_map_arg\x18\x01 \x01(\x0b\x32\x19.abbot.CNICapArgs.PortMapH\x00\x12\x34\n\rbandwidth_arg\x18\x02 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\x01(\x05\x42\x19\xea\xde\x1f\x15ingressRate,omitempty\x12\x31\n\ringress_burst\x18\x02 \x01(\x05\x42\x1a\xea\xde\x1f\x16ingressBurst,omitempty\x12-\n\x0b\x65gress_rate\x18\x03 \x01(\x05\x42\x18\xea\xde\x1f\x14\x65gressRate,omitempty\x12/\n\x0c\x65gress_burst\x18\x04 \x01(\x05\x42\x19\xea\xde\x1f\x15\x65gressBurst,omitempty\x1a\xa7\x01\n\x07IPRange\x12\x1a\n\x06subnet\x18\x01 \x01(\tB\n\xea\xde\x1f\x06subnet\x12-\n\x0brange_start\x18\x02 \x01(\tB\x18\xea\xde\x1f\x14rangeStart,omitempty\x12)\n\trange_end\x18\x03 \x01(\tB\x16\xea\xde\x1f\x12rangeEnd,omitempty\x12&\n\x07gateway\x18\x04 \x01(\tB\x15\xea\xde\x1f\x11gateway,omitempty\x1a\x85\x01\n\tDNSConfig\x12&\n\x07servers\x18\x01 \x03(\tB\x15\xea\xde\x1f\x11servers,omitempty\x12(\n\x08searches\x18\x02 \x03(\tB\x16\xea\xde\x1f\x12searches,omitempty\x12&\n\x07options\x18\x03 \x03(\tB\x15\xea\xde\x1f\x11options,omitempty\x1a-\n\x0bIPAddresses\x12\x1e\n\x03ips\x18\x01 \x03(\tB\x11\xea\xde\x1f\rips,omitempty\x1a,\n\nMacAddress\x12\x1e\n\x03mac\x18\x01 \x01(\tB\x11\xea\xde\x1f\rmac,omitempty\x1aG\n\x0eInfinibandGUID\x12\x35\n\x0finfiniband_guid\x18\x01 \x01(\tB\x1c\xea\xde\x1f\x18infinibandGUID,omitempty\x1a\x35\n\x08\x44\x65viceID\x12)\n\tdevice_id\x18\x01 \x01(\tB\x16\xea\xde\x1f\x12\x64\x65viceID,omitemptyB\x08\n\x06option\"\xdc\x01\n\x1d\x43ontainerNetworkEnsureRequest\x12\x14\n\x0c\x63ontainer_id\x18\x01 \x01(\t\x12\x0b\n\x03pid\x18\x02 \x01(\r\x12#\n\x08\x63\x61p_args\x18\x03 \x03(\x0b\x32\x11.abbot.CNICapArgs\x12\x43\n\x08\x63ni_args\x18\x04 \x03(\x0b\x32\x31.abbot.ContainerNetworkEnsureRequest.CniArgsEntry\x1a.\n\x0c\x43niArgsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"C\n\x1e\x43ontainerNetworkRestoreRequest\x12\x14\n\x0c\x63ontainer_id\x18\x01 \x01(\t\x12\x0b\n\x03pid\x18\x02 \x01(\r\"B\n\x1d\x43ontainerNetworkDeleteRequest\x12\x14\n\x0c\x63ontainer_id\x18\x01 \x01(\t\x12\x0b\n\x03pid\x18\x02 \x01(\r\"O\n#ContainerNetworkConfigEnsureRequest\x12\x13\n\x0bipv4_subnet\x18\x01 \x01(\t\x12\x13\n\x0bipv6_subnet\x18\x02 \x01(\t\"$\n\"ContainerNetworkConfigQueryRequest\"A\n\x1c\x43ontainerNetworkQueryRequest\x12\x14\n\x0c\x63ontainer_id\x18\x01 \x01(\t\x12\x0b\n\x03pid\x18\x02 \x01(\r\"J\n\x1e\x43ontainerNetworkConfigResponse\x12\x13\n\x0bipv4_subnet\x18\x01 \x01(\t\x12\x13\n\x0bipv6_subnet\x18\x02 \x01(\t\"Z\n\x1e\x43ontainerNetworkStatusResponse\x12\x0b\n\x03pid\x18\x01 \x01(\r\x12+\n\ninterfaces\x18\x02 \x03(\x0b\x32\x17.abbot.NetworkInterface\"\xe3\x01\n\"ContainerNetworkStatusListResponse\x12\\\n\x12\x63ontainer_networks\x18\x01 \x03(\x0b\x32@.abbot.ContainerNetworkStatusListResponse.ContainerNetworksEntry\x1a_\n\x16\x43ontainerNetworksEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x34\n\x05value\x18\x02 \x01(\x0b\x32%.abbot.ContainerNetworkStatusResponse:\x02\x38\x01\x42!Z\x1f\x61rhat.dev/abbot-proto/abbotgopbb\x06proto3' , dependencies=[github_dot_com_dot_gogo_dot_protobuf_dot_gogoproto_dot_gogo__pb2.DESCRIPTOR,meta__pb2.DESCRIPTOR,]) _CNICAPARGS_PORTMAP = _descriptor.Descriptor( name='PortMap', full_name='abbot.CNICapArgs.PortMap', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='container_port', full_name='abbot.CNICapArgs.PortMap.container_port', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\rcontainerPort', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='host_port', full_name='abbot.CNICapArgs.PortMap.host_port', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\010hostPort', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='protocol', full_name='abbot.CNICapArgs.PortMap.protocol', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\010protocol', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='host_ip', full_name='abbot.CNICapArgs.PortMap.host_ip', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\006hostIP', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=546, serialized_end=692, ) _CNICAPARGS_BANDWIDTH = _descriptor.Descriptor( name='Bandwidth', full_name='abbot.CNICapArgs.Bandwidth', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='ingress_rate', full_name='abbot.CNICapArgs.Bandwidth.ingress_rate', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\025ingressRate,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ingress_burst', full_name='abbot.CNICapArgs.Bandwidth.ingress_burst', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\026ingressBurst,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='egress_rate', full_name='abbot.CNICapArgs.Bandwidth.egress_rate', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\024egressRate,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='egress_burst', full_name='abbot.CNICapArgs.Bandwidth.egress_burst', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\025egressBurst,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=695, serialized_end=902, ) _CNICAPARGS_IPRANGE = _descriptor.Descriptor( name='IPRange', full_name='abbot.CNICapArgs.IPRange', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='subnet', full_name='abbot.CNICapArgs.IPRange.subnet', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\006subnet', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='range_start', full_name='abbot.CNICapArgs.IPRange.range_start', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\024rangeStart,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='range_end', full_name='abbot.CNICapArgs.IPRange.range_end', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\022rangeEnd,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='gateway', full_name='abbot.CNICapArgs.IPRange.gateway', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\021gateway,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=905, serialized_end=1072, ) _CNICAPARGS_DNSCONFIG = _descriptor.Descriptor( name='DNSConfig', full_name='abbot.CNICapArgs.DNSConfig', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='servers', full_name='abbot.CNICapArgs.DNSConfig.servers', index=0, number=1, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\021servers,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='searches', full_name='abbot.CNICapArgs.DNSConfig.searches', index=1, number=2, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\022searches,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='options', full_name='abbot.CNICapArgs.DNSConfig.options', index=2, number=3, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\021options,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1075, serialized_end=1208, ) _CNICAPARGS_IPADDRESSES = _descriptor.Descriptor( name='IPAddresses', full_name='abbot.CNICapArgs.IPAddresses', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='ips', full_name='abbot.CNICapArgs.IPAddresses.ips', index=0, number=1, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\rips,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1210, serialized_end=1255, ) _CNICAPARGS_MACADDRESS = _descriptor.Descriptor( name='MacAddress', full_name='abbot.CNICapArgs.MacAddress', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='mac', full_name='abbot.CNICapArgs.MacAddress.mac', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\rmac,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1257, serialized_end=1301, ) _CNICAPARGS_INFINIBANDGUID = _descriptor.Descriptor( name='InfinibandGUID', full_name='abbot.CNICapArgs.InfinibandGUID', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='infiniband_guid', full_name='abbot.CNICapArgs.InfinibandGUID.infiniband_guid', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\030infinibandGUID,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1303, serialized_end=1374, ) _CNICAPARGS_DEVICEID = _descriptor.Descriptor( name='DeviceID', full_name='abbot.CNICapArgs.DeviceID', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='device_id', full_name='abbot.CNICapArgs.DeviceID.device_id', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\352\336\037\022deviceID,omitempty', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1376, serialized_end=1429, ) _CNICAPARGS = _descriptor.Descriptor( name='CNICapArgs', full_name='abbot.CNICapArgs', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='port_map_arg', full_name='abbot.CNICapArgs.port_map_arg', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='bandwidth_arg', full_name='abbot.CNICapArgs.bandwidth_arg', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ip_range_arg', full_name='abbot.CNICapArgs.ip_range_arg', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dns_config_arg', full_name='abbot.CNICapArgs.dns_config_arg', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ip_addresses_arg', full_name='abbot.CNICapArgs.ip_addresses_arg', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='mac_address_arg', full_name='abbot.CNICapArgs.mac_address_arg', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='infiniband_guid_arg', full_name='abbot.CNICapArgs.infiniband_guid_arg', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='device_id_arg', full_name='abbot.CNICapArgs.device_id_arg', index=7, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_CNICAPARGS_PORTMAP, _CNICAPARGS_BANDWIDTH, _CNICAPARGS_IPRANGE, _CNICAPARGS_DNSCONFIG, _CNICAPARGS_IPADDRESSES, _CNICAPARGS_MACADDRESS, _CNICAPARGS_INFINIBANDGUID, _CNICAPARGS_DEVICEID, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='option', full_name='abbot.CNICapArgs.option', index=0, containing_type=None, create_key=_descriptor._internal_create_key, fields=[]), ], serialized_start=86, serialized_end=1439, ) _CONTAINERNETWORKENSUREREQUEST_CNIARGSENTRY = _descriptor.Descriptor( name='CniArgsEntry', full_name='abbot.ContainerNetworkEnsureRequest.CniArgsEntry', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='key', full_name='abbot.ContainerNetworkEnsureRequest.CniArgsEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='value', full_name='abbot.ContainerNetworkEnsureRequest.CniArgsEntry.value', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=b'8\001', is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1616, serialized_end=1662, ) _CONTAINERNETWORKENSUREREQUEST = _descriptor.Descriptor( name='ContainerNetworkEnsureRequest', full_name='abbot.ContainerNetworkEnsureRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='container_id', full_name='abbot.ContainerNetworkEnsureRequest.container_id', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='pid', full_name='abbot.ContainerNetworkEnsureRequest.pid', index=1, number=2, type=13, cpp_type=3, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='cap_args', full_name='abbot.ContainerNetworkEnsureRequest.cap_args', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='cni_args', full_name='abbot.ContainerNetworkEnsureRequest.cni_args', index=3, number=4, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_CONTAINERNETWORKENSUREREQUEST_CNIARGSENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1442, serialized_end=1662, ) _CONTAINERNETWORKRESTOREREQUEST = _descriptor.Descriptor( name='ContainerNetworkRestoreRequest', full_name='abbot.ContainerNetworkRestoreRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='container_id', full_name='abbot.ContainerNetworkRestoreRequest.container_id', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='pid', full_name='abbot.ContainerNetworkRestoreRequest.pid', index=1, number=2, type=13, cpp_type=3, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1664, serialized_end=1731, ) _CONTAINERNETWORKDELETEREQUEST = _descriptor.Descriptor( name='ContainerNetworkDeleteRequest', full_name='abbot.ContainerNetworkDeleteRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='container_id', full_name='abbot.ContainerNetworkDeleteRequest.container_id', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='pid', full_name='abbot.ContainerNetworkDeleteRequest.pid', index=1, number=2, type=13, cpp_type=3, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1733, serialized_end=1799, ) _CONTAINERNETWORKCONFIGENSUREREQUEST = _descriptor.Descriptor( name='ContainerNetworkConfigEnsureRequest', full_name='abbot.ContainerNetworkConfigEnsureRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='ipv4_subnet', full_name='abbot.ContainerNetworkConfigEnsureRequest.ipv4_subnet', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ipv6_subnet', full_name='abbot.ContainerNetworkConfigEnsureRequest.ipv6_subnet', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1801, serialized_end=1880, ) _CONTAINERNETWORKCONFIGQUERYREQUEST = _descriptor.Descriptor( name='ContainerNetworkConfigQueryRequest', full_name='abbot.ContainerNetworkConfigQueryRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1882, serialized_end=1918, ) _CONTAINERNETWORKQUERYREQUEST = _descriptor.Descriptor( name='ContainerNetworkQueryRequest', full_name='abbot.ContainerNetworkQueryRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='container_id', full_name='abbot.ContainerNetworkQueryRequest.container_id', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='pid', full_name='abbot.ContainerNetworkQueryRequest.pid', index=1, number=2, type=13, cpp_type=3, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1920, serialized_end=1985, ) _CONTAINERNETWORKCONFIGRESPONSE = _descriptor.Descriptor( name='ContainerNetworkConfigResponse', full_name='abbot.ContainerNetworkConfigResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='ipv4_subnet', full_name='abbot.ContainerNetworkConfigResponse.ipv4_subnet', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ipv6_subnet', full_name='abbot.ContainerNetworkConfigResponse.ipv6_subnet', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1987, serialized_end=2061, ) _CONTAINERNETWORKSTATUSRESPONSE = _descriptor.Descriptor( name='ContainerNetworkStatusResponse', full_name='abbot.ContainerNetworkStatusResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='pid', full_name='abbot.ContainerNetworkStatusResponse.pid', index=0, number=1, type=13, cpp_type=3, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='interfaces', full_name='abbot.ContainerNetworkStatusResponse.interfaces', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2063, serialized_end=2153, ) _CONTAINERNETWORKSTATUSLISTRESPONSE_CONTAINERNETWORKSENTRY = _descriptor.Descriptor( name='ContainerNetworksEntry', full_name='abbot.ContainerNetworkStatusListResponse.ContainerNetworksEntry', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='key', full_name='abbot.ContainerNetworkStatusListResponse.ContainerNetworksEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='value', full_name='abbot.ContainerNetworkStatusListResponse.ContainerNetworksEntry.value', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=b'8\001', is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2288, serialized_end=2383, ) _CONTAINERNETWORKSTATUSLISTRESPONSE = _descriptor.Descriptor( name='ContainerNetworkStatusListResponse', full_name='abbot.ContainerNetworkStatusListResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='container_networks', full_name='abbot.ContainerNetworkStatusListResponse.container_networks', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_CONTAINERNETWORKSTATUSLISTRESPONSE_CONTAINERNETWORKSENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2156, serialized_end=2383, ) _CNICAPARGS_PORTMAP.containing_type = _CNICAPARGS _CNICAPARGS_BANDWIDTH.containing_type = _CNICAPARGS _CNICAPARGS_IPRANGE.containing_type = _CNICAPARGS _CNICAPARGS_DNSCONFIG.containing_type = _CNICAPARGS _CNICAPARGS_IPADDRESSES.containing_type = _CNICAPARGS _CNICAPARGS_MACADDRESS.containing_type = _CNICAPARGS _CNICAPARGS_INFINIBANDGUID.containing_type = _CNICAPARGS _CNICAPARGS_DEVICEID.containing_type = _CNICAPARGS _CNICAPARGS.fields_by_name['port_map_arg'].message_type = _CNICAPARGS_PORTMAP _CNICAPARGS.fields_by_name['bandwidth_arg'].message_type = _CNICAPARGS_BANDWIDTH _CNICAPARGS.fields_by_name['ip_range_arg'].message_type = _CNICAPARGS_IPRANGE _CNICAPARGS.fields_by_name['dns_config_arg'].message_type = _CNICAPARGS_DNSCONFIG _CNICAPARGS.fields_by_name['ip_addresses_arg'].message_type = _CNICAPARGS_IPADDRESSES _CNICAPARGS.fields_by_name['mac_address_arg'].message_type = _CNICAPARGS_MACADDRESS _CNICAPARGS.fields_by_name['infiniband_guid_arg'].message_type = _CNICAPARGS_INFINIBANDGUID _CNICAPARGS.fields_by_name['device_id_arg'].message_type = _CNICAPARGS_DEVICEID _CNICAPARGS.oneofs_by_name['option'].fields.append( _CNICAPARGS.fields_by_name['port_map_arg']) _CNICAPARGS.fields_by_name['port_map_arg'].containing_oneof = _CNICAPARGS.oneofs_by_name['option'] _CNICAPARGS.oneofs_by_name['option'].fields.append( _CNICAPARGS.fields_by_name['bandwidth_arg']) _CNICAPARGS.fields_by_name['bandwidth_arg'].containing_oneof = _CNICAPARGS.oneofs_by_name['option'] _CNICAPARGS.oneofs_by_name['option'].fields.append( _CNICAPARGS.fields_by_name['ip_range_arg']) _CNICAPARGS.fields_by_name['ip_range_arg'].containing_oneof = _CNICAPARGS.oneofs_by_name['option'] _CNICAPARGS.oneofs_by_name['option'].fields.append( _CNICAPARGS.fields_by_name['dns_config_arg']) _CNICAPARGS.fields_by_name['dns_config_arg'].containing_oneof = _CNICAPARGS.oneofs_by_name['option'] _CNICAPARGS.oneofs_by_name['option'].fields.append( _CNICAPARGS.fields_by_name['ip_addresses_arg']) _CNICAPARGS.fields_by_name['ip_addresses_arg'].containing_oneof = _CNICAPARGS.oneofs_by_name['option'] _CNICAPARGS.oneofs_by_name['option'].fields.append( _CNICAPARGS.fields_by_name['mac_address_arg']) _CNICAPARGS.fields_by_name['mac_address_arg'].containing_oneof = _CNICAPARGS.oneofs_by_name['option'] _CNICAPARGS.oneofs_by_name['option'].fields.append( _CNICAPARGS.fields_by_name['infiniband_guid_arg']) _CNICAPARGS.fields_by_name['infiniband_guid_arg'].containing_oneof = _CNICAPARGS.oneofs_by_name['option'] _CNICAPARGS.oneofs_by_name['option'].fields.append( _CNICAPARGS.fields_by_name['device_id_arg']) _CNICAPARGS.fields_by_name['device_id_arg'].containing_oneof = _CNICAPARGS.oneofs_by_name['option'] _CONTAINERNETWORKENSUREREQUEST_CNIARGSENTRY.containing_type = _CONTAINERNETWORKENSUREREQUEST _CONTAINERNETWORKENSUREREQUEST.fields_by_name['cap_args'].message_type = _CNICAPARGS _CONTAINERNETWORKENSUREREQUEST.fields_by_name['cni_args'].message_type = _CONTAINERNETWORKENSUREREQUEST_CNIARGSENTRY _CONTAINERNETWORKSTATUSRESPONSE.fields_by_name['interfaces'].message_type = meta__pb2._NETWORKINTERFACE _CONTAINERNETWORKSTATUSLISTRESPONSE_CONTAINERNETWORKSENTRY.fields_by_name['value'].message_type = _CONTAINERNETWORKSTATUSRESPONSE _CONTAINERNETWORKSTATUSLISTRESPONSE_CONTAINERNETWORKSENTRY.containing_type = _CONTAINERNETWORKSTATUSLISTRESPONSE _CONTAINERNETWORKSTATUSLISTRESPONSE.fields_by_name['container_networks'].message_type = _CONTAINERNETWORKSTATUSLISTRESPONSE_CONTAINERNETWORKSENTRY DESCRIPTOR.message_types_by_name['CNICapArgs'] = _CNICAPARGS DESCRIPTOR.message_types_by_name['ContainerNetworkEnsureRequest'] = _CONTAINERNETWORKENSUREREQUEST DESCRIPTOR.message_types_by_name['ContainerNetworkRestoreRequest'] = _CONTAINERNETWORKRESTOREREQUEST DESCRIPTOR.message_types_by_name['ContainerNetworkDeleteRequest'] = _CONTAINERNETWORKDELETEREQUEST DESCRIPTOR.message_types_by_name['ContainerNetworkConfigEnsureRequest'] = _CONTAINERNETWORKCONFIGENSUREREQUEST DESCRIPTOR.message_types_by_name['ContainerNetworkConfigQueryRequest'] = _CONTAINERNETWORKCONFIGQUERYREQUEST DESCRIPTOR.message_types_by_name['ContainerNetworkQueryRequest'] = _CONTAINERNETWORKQUERYREQUEST DESCRIPTOR.message_types_by_name['ContainerNetworkConfigResponse'] = _CONTAINERNETWORKCONFIGRESPONSE DESCRIPTOR.message_types_by_name['ContainerNetworkStatusResponse'] = _CONTAINERNETWORKSTATUSRESPONSE DESCRIPTOR.message_types_by_name['ContainerNetworkStatusListResponse'] = _CONTAINERNETWORKSTATUSLISTRESPONSE _sym_db.RegisterFileDescriptor(DESCRIPTOR) CNICapArgs = _reflection.GeneratedProtocolMessageType('CNICapArgs', (_message.Message,), { 'PortMap' : _reflection.GeneratedProtocolMessageType('PortMap', (_message.Message,), { 'DESCRIPTOR' : _CNICAPARGS_PORTMAP, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.CNICapArgs.PortMap) }) , 'Bandwidth' : _reflection.GeneratedProtocolMessageType('Bandwidth', (_message.Message,), { 'DESCRIPTOR' : _CNICAPARGS_BANDWIDTH, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.CNICapArgs.Bandwidth) }) , 'IPRange' : _reflection.GeneratedProtocolMessageType('IPRange', (_message.Message,), { 'DESCRIPTOR' : _CNICAPARGS_IPRANGE, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.CNICapArgs.IPRange) }) , 'DNSConfig' : _reflection.GeneratedProtocolMessageType('DNSConfig', (_message.Message,), { 'DESCRIPTOR' : _CNICAPARGS_DNSCONFIG, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.CNICapArgs.DNSConfig) }) , 'IPAddresses' : _reflection.GeneratedProtocolMessageType('IPAddresses', (_message.Message,), { 'DESCRIPTOR' : _CNICAPARGS_IPADDRESSES, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.CNICapArgs.IPAddresses) }) , 'MacAddress' : _reflection.GeneratedProtocolMessageType('MacAddress', (_message.Message,), { 'DESCRIPTOR' : _CNICAPARGS_MACADDRESS, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.CNICapArgs.MacAddress) }) , 'InfinibandGUID' : _reflection.GeneratedProtocolMessageType('InfinibandGUID', (_message.Message,), { 'DESCRIPTOR' : _CNICAPARGS_INFINIBANDGUID, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.CNICapArgs.InfinibandGUID) }) , 'DeviceID' : _reflection.GeneratedProtocolMessageType('DeviceID', (_message.Message,), { 'DESCRIPTOR' : _CNICAPARGS_DEVICEID, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.CNICapArgs.DeviceID) }) , 'DESCRIPTOR' : _CNICAPARGS, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.CNICapArgs) }) _sym_db.RegisterMessage(CNICapArgs) _sym_db.RegisterMessage(CNICapArgs.PortMap) _sym_db.RegisterMessage(CNICapArgs.Bandwidth) _sym_db.RegisterMessage(CNICapArgs.IPRange) _sym_db.RegisterMessage(CNICapArgs.DNSConfig) _sym_db.RegisterMessage(CNICapArgs.IPAddresses) _sym_db.RegisterMessage(CNICapArgs.MacAddress) _sym_db.RegisterMessage(CNICapArgs.InfinibandGUID) _sym_db.RegisterMessage(CNICapArgs.DeviceID) ContainerNetworkEnsureRequest = _reflection.GeneratedProtocolMessageType('ContainerNetworkEnsureRequest', (_message.Message,), { 'CniArgsEntry' : _reflection.GeneratedProtocolMessageType('CniArgsEntry', (_message.Message,), { 'DESCRIPTOR' : _CONTAINERNETWORKENSUREREQUEST_CNIARGSENTRY, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkEnsureRequest.CniArgsEntry) }) , 'DESCRIPTOR' : _CONTAINERNETWORKENSUREREQUEST, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkEnsureRequest) }) _sym_db.RegisterMessage(ContainerNetworkEnsureRequest) _sym_db.RegisterMessage(ContainerNetworkEnsureRequest.CniArgsEntry) ContainerNetworkRestoreRequest = _reflection.GeneratedProtocolMessageType('ContainerNetworkRestoreRequest', (_message.Message,), { 'DESCRIPTOR' : _CONTAINERNETWORKRESTOREREQUEST, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkRestoreRequest) }) _sym_db.RegisterMessage(ContainerNetworkRestoreRequest) ContainerNetworkDeleteRequest = _reflection.GeneratedProtocolMessageType('ContainerNetworkDeleteRequest', (_message.Message,), { 'DESCRIPTOR' : _CONTAINERNETWORKDELETEREQUEST, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkDeleteRequest) }) _sym_db.RegisterMessage(ContainerNetworkDeleteRequest) ContainerNetworkConfigEnsureRequest = _reflection.GeneratedProtocolMessageType('ContainerNetworkConfigEnsureRequest', (_message.Message,), { 'DESCRIPTOR' : _CONTAINERNETWORKCONFIGENSUREREQUEST, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkConfigEnsureRequest) }) _sym_db.RegisterMessage(ContainerNetworkConfigEnsureRequest) ContainerNetworkConfigQueryRequest = _reflection.GeneratedProtocolMessageType('ContainerNetworkConfigQueryRequest', (_message.Message,), { 'DESCRIPTOR' : _CONTAINERNETWORKCONFIGQUERYREQUEST, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkConfigQueryRequest) }) _sym_db.RegisterMessage(ContainerNetworkConfigQueryRequest) ContainerNetworkQueryRequest = _reflection.GeneratedProtocolMessageType('ContainerNetworkQueryRequest', (_message.Message,), { 'DESCRIPTOR' : _CONTAINERNETWORKQUERYREQUEST, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkQueryRequest) }) _sym_db.RegisterMessage(ContainerNetworkQueryRequest) ContainerNetworkConfigResponse = _reflection.GeneratedProtocolMessageType('ContainerNetworkConfigResponse', (_message.Message,), { 'DESCRIPTOR' : _CONTAINERNETWORKCONFIGRESPONSE, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkConfigResponse) }) _sym_db.RegisterMessage(ContainerNetworkConfigResponse) ContainerNetworkStatusResponse = _reflection.GeneratedProtocolMessageType('ContainerNetworkStatusResponse', (_message.Message,), { 'DESCRIPTOR' : _CONTAINERNETWORKSTATUSRESPONSE, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkStatusResponse) }) _sym_db.RegisterMessage(ContainerNetworkStatusResponse) ContainerNetworkStatusListResponse = _reflection.GeneratedProtocolMessageType('ContainerNetworkStatusListResponse', (_message.Message,), { 'ContainerNetworksEntry' : _reflection.GeneratedProtocolMessageType('ContainerNetworksEntry', (_message.Message,), { 'DESCRIPTOR' : _CONTAINERNETWORKSTATUSLISTRESPONSE_CONTAINERNETWORKSENTRY, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkStatusListResponse.ContainerNetworksEntry) }) , 'DESCRIPTOR' : _CONTAINERNETWORKSTATUSLISTRESPONSE, '__module__' : 'container_pb2' # @@protoc_insertion_point(class_scope:abbot.ContainerNetworkStatusListResponse) }) _sym_db.RegisterMessage(ContainerNetworkStatusListResponse) _sym_db.RegisterMessage(ContainerNetworkStatusListResponse.ContainerNetworksEntry) DESCRIPTOR._options = None _CNICAPARGS_PORTMAP.fields_by_name['container_port']._options = None _CNICAPARGS_PORTMAP.fields_by_name['host_port']._options = None _CNICAPARGS_PORTMAP.fields_by_name['protocol']._options = None _CNICAPARGS_PORTMAP.fields_by_name['host_ip']._options = None _CNICAPARGS_BANDWIDTH.fields_by_name['ingress_rate']._options = None _CNICAPARGS_BANDWIDTH.fields_by_name['ingress_burst']._options = None _CNICAPARGS_BANDWIDTH.fields_by_name['egress_rate']._options = None _CNICAPARGS_BANDWIDTH.fields_by_name['egress_burst']._options = None _CNICAPARGS_IPRANGE.fields_by_name['subnet']._options = None _CNICAPARGS_IPRANGE.fields_by_name['range_start']._options = None _CNICAPARGS_IPRANGE.fields_by_name['range_end']._options = None _CNICAPARGS_IPRANGE.fields_by_name['gateway']._options = None _CNICAPARGS_DNSCONFIG.fields_by_name['servers']._options = None _CNICAPARGS_DNSCONFIG.fields_by_name['searches']._options = None _CNICAPARGS_DNSCONFIG.fields_by_name['options']._options = None _CNICAPARGS_IPADDRESSES.fields_by_name['ips']._options = None _CNICAPARGS_MACADDRESS.fields_by_name['mac']._options = None _CNICAPARGS_INFINIBANDGUID.fields_by_name['infiniband_guid']._options = None _CNICAPARGS_DEVICEID.fields_by_name['device_id']._options = None _CONTAINERNETWORKENSUREREQUEST_CNIARGSENTRY._options = None _CONTAINERNETWORKSTATUSLISTRESPONSE_CONTAINERNETWORKSENTRY._options = None # @@protoc_insertion_point(module_scope)

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9ec9c397ddd2c74228ffd0aa80e60f81bcb7efb3

17,686

py

Python

dashboard_api/api/utils.py

NASA-IMPACT/eis-pilot-dashboard-api

18f28d1fcc8bd982b4161754f5852fb247fc77d0

[ "MIT" ]

1

2021-05-19T17:25:25.000Z

dashboard_api/api/utils.py

NASA-IMPACT/eis-pilot-dashboard-api

18f28d1fcc8bd982b4161754f5852fb247fc77d0

[ "MIT" ]

9

2021-05-03T18:22:22.000Z

2021-09-30T19:43:52.000Z

dashboard_api/api/utils.py

NASA-IMPACT/eis-pilot-dashboard-api

18f28d1fcc8bd982b4161754f5852fb247fc77d0

[ "MIT" ]

1

2021-06-22T17:08:46.000Z

"""dashboard_api.api.utils.""" import hashlib import json import re import time from enum import Enum from typing import Any, Dict, Optional, Tuple import numpy as np # Temporary import rasterio from rasterio import features from rasterio.warp import transform_bounds from rasterstats.io import bounds_window from rio_color.operations import parse_operations from rio_color.utils import scale_dtype, to_math_type from rio_tiler import constants from rio_tiler.mercator import get_zooms from rio_tiler.utils import _chunks, has_alpha_band, has_mask_band, linear_rescale from shapely.geometry import box, shape from dashboard_api.db.memcache import CacheLayer from dashboard_api.models.timelapse import Feature from starlette.requests import Request def get_cache(request: Request) -> CacheLayer: """Get Memcached Layer.""" return request.state.cache def get_hash(**kwargs: Any) -> str: """Create hash from kwargs.""" return hashlib.sha224(json.dumps(kwargs, sort_keys=True).encode()).hexdigest() def postprocess( tile: np.ndarray, mask: np.ndarray, rescale: Optional[str] = None, color_formula: Optional[str] = None, ) -> np.ndarray: """Post-process tile data.""" if rescale: rescale_arr = list(map(float, rescale.split(","))) rescale_arr = list(_chunks(rescale_arr, 2)) if len(rescale_arr) != tile.shape[0]: rescale_arr = ((rescale_arr[0]),) * tile.shape[0] for bdx in range(tile.shape[0]): tile[bdx] = np.where( mask, linear_rescale( tile[bdx], in_range=rescale_arr[bdx], out_range=[0, 255] ), 0, ) tile = tile.astype(np.uint8) if color_formula: # make sure one last time we don't have # negative value before applying color formula tile[tile < 0] = 0 for ops in parse_operations(color_formula): tile = scale_dtype(ops(to_math_type(tile)), np.uint8) return tile # from rio-tiler 2.0a5 def info(address: str) -> Dict: """ Return simple metadata about the file. Attributes ---------- address : str or PathLike object A dataset path or URL. Will be opened in "r" mode. Returns ------- out : dict. """ with rasterio.open(address) as src_dst: minzoom, maxzoom = get_zooms(src_dst) bounds = transform_bounds( src_dst.crs, constants.WGS84_CRS, *src_dst.bounds, densify_pts=21 ) center = [(bounds[0] + bounds[2]) / 2, (bounds[1] + bounds[3]) / 2, minzoom] def _get_descr(ix): """Return band description.""" name = src_dst.descriptions[ix - 1] if not name: name = "band{}".format(ix) return name band_descriptions = [(ix, _get_descr(ix)) for ix in src_dst.indexes] tags = [(ix, src_dst.tags(ix)) for ix in src_dst.indexes] other_meta = dict() if src_dst.scales[0] and src_dst.offsets[0]: other_meta.update(dict(scale=src_dst.scales[0])) other_meta.update(dict(offset=src_dst.offsets[0])) if has_alpha_band(src_dst): nodata_type = "Alpha" elif has_mask_band(src_dst): nodata_type = "Mask" elif src_dst.nodata is not None: nodata_type = "Nodata" else: nodata_type = "None" try: cmap = src_dst.colormap(1) other_meta.update(dict(colormap=cmap)) except ValueError: pass return dict( address=address, bounds=bounds, center=center, minzoom=minzoom, maxzoom=maxzoom, band_metadata=tags, band_descriptions=band_descriptions, dtype=src_dst.meta["dtype"], colorinterp=[src_dst.colorinterp[ix - 1].name for ix in src_dst.indexes], nodata_type=nodata_type, **other_meta, ) # This code is copied from marblecutter # https://github.com/mojodna/marblecutter/blob/master/marblecutter/stats.py # License: # Original work Copyright 2016 Stamen Design # Modified work Copyright 2016-2017 Seth Fitzsimmons # Modified work Copyright 2016 American Red Cross # Modified work Copyright 2016-2017 Humanitarian OpenStreetMap Team # Modified work Copyright 2017 Mapzen class Timer(object): """Time a code block.""" def __enter__(self): """Starts timer.""" self.start = time.time() return self def __exit__(self, ty, val, tb): """Stops timer.""" self.end = time.time() self.elapsed = self.end - self.start # from https://gist.github.com/perrygeo/721040f8545272832a42#file-pctcover-png # author: @perrygeo def _rasterize_geom(geom, shape, affinetrans, all_touched): indata = [(geom, 1)] rv_array = features.rasterize( indata, out_shape=shape, transform=affinetrans, fill=0, all_touched=all_touched ) return rv_array def rasterize_pctcover(geom, atrans, shape): """Rasterize features.""" alltouched = _rasterize_geom(geom, shape, atrans, all_touched=True) exterior = _rasterize_geom(geom.exterior, shape, atrans, all_touched=True) # Create percent cover grid as the difference between them # at this point all cells are known 100% coverage, # we'll update this array for exterior points pctcover = alltouched - exterior # loop through indicies of all exterior cells for r, c in zip(*np.where(exterior == 1)): # Find cell bounds, from rasterio DatasetReader.window_bounds window = ((r, r + 1), (c, c + 1)) ((row_min, row_max), (col_min, col_max)) = window x_min, y_min = (col_min, row_max) * atrans x_max, y_max = (col_max, row_min) * atrans bounds = (x_min, y_min, x_max, y_max) # Construct shapely geometry of cell cell = box(*bounds) # Intersect with original shape cell_overlap = cell.intersection(geom) # update pctcover with percentage based on area proportion pctcover[r, c] = cell_overlap.area / cell.area return pctcover def get_zonal_stat(geojson: Feature, raster: str) -> Tuple[float, float]: """Return zonal statistics.""" geom = shape(geojson.geometry.dict()) with rasterio.open(raster) as src: # read the raster data matching the geometry bounds window = bounds_window(geom.bounds, src.transform) # store our window information & read window_affine = src.window_transform(window) data = src.read(window=window) # calculate the coverage of pixels for weighting pctcover = rasterize_pctcover(geom, atrans=window_affine, shape=data.shape[1:]) return ( np.average(data[0], weights=pctcover), np.nanmedian(data), ) # from https://gitlab.com/zfasnacht/global_mapping/-/blob/master/global_mapping.py#L231 no2_cmap = { 0: [153, 197, 227, 255], 1: [154, 197, 225, 255], 2: [155, 198, 225, 255], 3: [158, 198, 223, 255], 4: [159, 199, 223, 255], 5: [161, 200, 222, 255], 6: [162, 200, 221, 255], 7: [163, 201, 221, 255], 8: [165, 201, 219, 255], 9: [166, 202, 219, 255], 10: [168, 203, 217, 255], 11: [169, 203, 217, 255], 12: [171, 203, 216, 255], 13: [173, 204, 215, 255], 14: [174, 205, 214, 255], 15: [176, 206, 213, 255], 16: [177, 206, 212, 255], 17: [179, 207, 212, 255], 18: [181, 207, 210, 255], 19: [182, 208, 210, 255], 20: [184, 209, 208, 255], 21: [185, 209, 208, 255], 22: [186, 209, 207, 255], 23: [188, 210, 206, 255], 24: [190, 211, 206, 255], 25: [192, 211, 204, 255], 26: [193, 212, 204, 255], 27: [194, 212, 203, 255], 28: [196, 213, 202, 255], 29: [198, 214, 201, 255], 30: [200, 214, 200, 255], 31: [201, 215, 199, 255], 32: [202, 215, 199, 255], 33: [205, 216, 197, 255], 34: [206, 217, 197, 255], 35: [208, 217, 195, 255], 36: [209, 218, 195, 255], 37: [210, 218, 194, 255], 38: [212, 219, 193, 255], 39: [213, 219, 192, 255], 40: [215, 220, 191, 255], 41: [217, 221, 191, 255], 42: [218, 221, 190, 255], 43: [220, 222, 189, 255], 44: [221, 222, 188, 255], 45: [223, 223, 187, 255], 46: [225, 224, 186, 255], 47: [226, 224, 185, 255], 48: [228, 225, 184, 255], 49: [229, 225, 184, 255], 50: [232, 226, 183, 255], 51: [232, 226, 182, 255], 52: [234, 227, 181, 255], 53: [236, 228, 180, 255], 54: [237, 228, 179, 255], 55: [239, 229, 178, 255], 56: [240, 229, 177, 255], 57: [243, 230, 176, 255], 58: [244, 231, 176, 255], 59: [245, 231, 175, 255], 60: [247, 232, 174, 255], 61: [248, 232, 173, 255], 62: [251, 233, 172, 255], 63: [252, 234, 171, 255], 64: [253, 232, 170, 255], 65: [253, 230, 167, 255], 66: [252, 226, 164, 255], 67: [252, 222, 161, 255], 68: [252, 220, 160, 255], 69: [252, 216, 157, 255], 70: [252, 213, 154, 255], 71: [251, 209, 151, 255], 72: [251, 206, 148, 255], 73: [251, 203, 146, 255], 74: [251, 200, 143, 255], 75: [251, 197, 140, 255], 76: [250, 193, 137, 255], 77: [250, 189, 134, 255], 78: [250, 186, 131, 255], 79: [250, 183, 129, 255], 80: [250, 181, 127, 255], 81: [249, 177, 124, 255], 82: [249, 174, 121, 255], 83: [249, 170, 119, 255], 84: [249, 168, 117, 255], 85: [249, 165, 116, 255], 86: [249, 162, 114, 255], 87: [249, 158, 112, 255], 88: [249, 155, 111, 255], 89: [249, 153, 110, 255], 90: [249, 150, 108, 255], 91: [249, 147, 107, 255], 92: [248, 144, 105, 255], 93: [248, 141, 104, 255], 94: [248, 139, 104, 255], 95: [248, 136, 102, 255], 96: [248, 133, 101, 255], 97: [248, 130, 99, 255], 98: [248, 126, 98, 255], 99: [248, 124, 97, 255], 100: [248, 121, 94, 255], 101: [248, 118, 93, 255], 102: [247, 115, 92, 255], 103: [246, 112, 92, 255], 104: [244, 110, 93, 255], 105: [243, 108, 94, 255], 106: [242, 106, 95, 255], 107: [240, 103, 96, 255], 108: [239, 101, 96, 255], 109: [237, 99, 97, 255], 110: [236, 97, 97, 255], 111: [235, 95, 98, 255], 112: [233, 92, 99, 255], 113: [231, 90, 100, 255], 114: [229, 87, 101, 255], 115: [228, 85, 101, 255], 116: [227, 83, 102, 255], 117: [225, 80, 103, 255], 118: [224, 78, 103, 255], 119: [222, 76, 104, 255], 120: [221, 74, 105, 255], 121: [219, 71, 105, 255], 122: [217, 70, 107, 255], 123: [216, 69, 107, 255], 124: [213, 68, 108, 255], 125: [211, 67, 109, 255], 126: [209, 67, 109, 255], 127: [207, 65, 111, 255], 128: [204, 65, 111, 255], 129: [202, 63, 113, 255], 130: [200, 63, 113, 255], 131: [198, 62, 114, 255], 132: [196, 61, 115, 255], 133: [194, 60, 116, 255], 134: [191, 58, 117, 255], 135: [189, 58, 118, 255], 136: [187, 57, 119, 255], 137: [185, 56, 120, 255], 138: [183, 55, 120, 255], 139: [181, 54, 122, 255], 140: [179, 53, 122, 255], 141: [177, 53, 123, 255], 142: [174, 51, 123, 255], 143: [171, 51, 124, 255], 144: [168, 49, 124, 255], 145: [165, 49, 124, 255], 146: [164, 48, 125, 255], 147: [161, 47, 125, 255], 148: [158, 46, 125, 255], 149: [155, 45, 126, 255], 150: [152, 44, 126, 255], 151: [150, 44, 126, 255], 152: [148, 43, 126, 255], 153: [146, 42, 127, 255], 154: [143, 41, 127, 255], 155: [140, 40, 127, 255], 156: [137, 39, 128, 255], 157: [135, 38, 128, 255], 158: [132, 38, 128, 255], 159: [130, 36, 129, 255], 160: [127, 36, 129, 255], 161: [125, 34, 129, 255], 162: [123, 34, 128, 255], 163: [121, 33, 128, 255], 164: [119, 32, 128, 255], 165: [117, 32, 128, 255], 166: [114, 31, 127, 255], 167: [113, 30, 127, 255], 168: [112, 30, 127, 255], 169: [109, 28, 127, 255], 170: [107, 28, 126, 255], 171: [105, 27, 126, 255], 172: [103, 26, 126, 255], 173: [101, 25, 126, 255], 174: [99, 24, 125, 255], 175: [97, 24, 125, 255], 176: [94, 23, 125, 255], 177: [93, 22, 125, 255], 178: [91, 21, 124, 255], 179: [89, 20, 124, 255], 180: [87, 20, 124, 255], 181: [85, 19, 124, 255], 182: [83, 18, 123, 255], 183: [82, 18, 123, 255], 184: [79, 17, 122, 255], 185: [77, 17, 120, 255], 186: [75, 17, 118, 255], 187: [73, 17, 116, 255], 188: [71, 17, 114, 255], 189: [69, 17, 112, 255], 190: [67, 17, 110, 255], 191: [64, 17, 108, 255], 192: [62, 17, 106, 255], 193: [61, 17, 104, 255], 194: [58, 17, 102, 255], 195: [57, 17, 101, 255], 196: [55, 16, 98, 255], 197: [53, 16, 96, 255], 198: [51, 16, 95, 255], 199: [49, 16, 93, 255], 200: [47, 16, 91, 255], 201: [45, 16, 88, 255], 202: [43, 16, 86, 255], 203: [41, 16, 85, 255], 204: [39, 16, 82, 255], 205: [37, 16, 81, 255], 206: [34, 16, 78, 255], 207: [32, 16, 76, 255], 208: [31, 16, 74, 255], 209: [30, 16, 73, 255], 210: [30, 15, 72, 255], 211: [29, 15, 70, 255], 212: [29, 15, 69, 255], 213: [28, 14, 67, 255], 214: [27, 14, 66, 255], 215: [27, 14, 65, 255], 216: [26, 14, 63, 255], 217: [26, 14, 62, 255], 218: [25, 13, 60, 255], 219: [25, 13, 59, 255], 220: [24, 13, 58, 255], 221: [23, 12, 56, 255], 222: [23, 12, 54, 255], 223: [22, 12, 52, 255], 224: [22, 12, 52, 255], 225: [22, 11, 51, 255], 226: [21, 11, 49, 255], 227: [20, 11, 48, 255], 228: [19, 10, 46, 255], 229: [19, 10, 45, 255], 230: [19, 10, 43, 255], 231: [18, 10, 41, 255], 232: [17, 9, 40, 255], 233: [17, 9, 38, 255], 234: [16, 9, 37, 255], 235: [16, 9, 36, 255], 236: [15, 8, 34, 255], 237: [15, 8, 33, 255], 238: [14, 8, 31, 255], 239: [14, 8, 30, 255], 240: [13, 7, 29, 255], 241: [12, 7, 27, 255], 242: [12, 7, 26, 255], 243: [11, 6, 24, 255], 244: [11, 6, 23, 255], 245: [10, 6, 22, 255], 246: [9, 6, 20, 255], 247: [9, 5, 19, 255], 248: [8, 5, 17, 255], 249: [8, 5, 16, 255], 250: [7, 5, 15, 255], 251: [7, 4, 13, 255], 252: [6, 4, 12, 255], 253: [6, 4, 10, 255], 254: [5, 4, 9, 255], 255: [5, 3, 8, 255], } crop_monitor_cmap = { 1: [120, 120, 120, 255], 2: [130, 65, 0, 255], 3: [66, 207, 56, 255], 4: [245, 239, 0, 255], 5: [241, 89, 32, 255], 6: [168, 0, 0, 255], 7: [0, 143, 201, 255], } COLOR_MAPS = { "no2": no2_cmap.copy(), "cropmonitor": crop_monitor_cmap.copy(), } def get_custom_cmap(cname) -> Dict: """Return custom colormap.""" if not re.match(r"^custom_", cname): raise Exception("Invalid colormap name") _, name = cname.split("_") return COLOR_MAPS[name] COLOR_MAP_NAMES = [ "accent", "accent_r", "afmhot", "afmhot_r", "autumn", "autumn_r", "binary", "binary_r", "blues", "blues_r", "bone", "bone_r", "brbg", "brbg_r", "brg", "brg_r", "bugn", "bugn_r", "bupu", "bupu_r", "bwr", "bwr_r", "cfastie", "cividis", "cividis_r", "cmrmap", "cmrmap_r", "cool", "cool_r", "coolwarm", "coolwarm_r", "copper", "copper_r", "cubehelix", "cubehelix_r", "dark2", "dark2_r", "flag", "flag_r", "gist_earth", "gist_earth_r", "gist_gray", "gist_gray_r", "gist_heat", "gist_heat_r", "gist_ncar", "gist_ncar_r", "gist_rainbow", "gist_rainbow_r", "gist_stern", "gist_stern_r", "gist_yarg", "gist_yarg_r", "gnbu", "gnbu_r", "gnuplot", "gnuplot2", "gnuplot2_r", "gnuplot_r", "gray", "gray_r", "greens", "greens_r", "greys", "greys_r", "hot", "hot_r", "hsv", "hsv_r", "inferno", "inferno_r", "jet", "jet_r", "magma", "magma_r", "nipy_spectral", "nipy_spectral_r", "ocean", "ocean_r", "oranges", "oranges_r", "orrd", "orrd_r", "paired", "paired_r", "pastel1", "pastel1_r", "pastel2", "pastel2_r", "pink", "pink_r", "piyg", "piyg_r", "plasma", "plasma_r", "prgn", "prgn_r", "prism", "prism_r", "pubu", "pubu_r", "pubugn", "pubugn_r", "puor", "puor_r", "purd", "purd_r", "purples", "purples_r", "rainbow", "rainbow_r", "rdbu", "rdbu_r", "rdgy", "rdgy_r", "rdpu", "rdpu_r", "rdylbu", "rdylbu_r", "rdylgn", "rdylgn_r", "reds", "reds_r", "rplumbo", "schwarzwald", "seismic", "seismic_r", "set1", "set1_r", "set2", "set2_r", "set3", "set3_r", "spectral", "spectral_r", "spring", "spring_r", "summer", "summer_r", "tab10", "tab10_r", "tab20", "tab20_r", "tab20b", "tab20b_r", "tab20c", "tab20c_r", "terrain", "terrain_r", "twilight", "twilight_r", "twilight_shifted", "twilight_shifted_r", "viridis", "viridis_r", "winter", "winter_r", "wistia", "wistia_r", "ylgn", "ylgn_r", "ylgnbu", "ylgnbu_r", "ylorbr", "ylorbr_r", "ylorrd", "ylorrd_r", ] + [f"custom_{c}" for c in COLOR_MAPS.keys()] ColorMapName = Enum("ColorMapNames", [(a, a) for a in COLOR_MAP_NAMES]) # type: ignore

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null

0

1

0

1

0

null

0

2

9ed512d47b509cb3ea841b512f494c210a331bfb

810

py

Python

setup.py

mvx24/django-mvx-utils

28bb9479b7c0a542f9fabf4d1952215bd77059b0

[ "MIT" ]

null

setup.py

mvx24/django-mvx-utils

28bb9479b7c0a542f9fabf4d1952215bd77059b0

[ "MIT" ]

null

setup.py

mvx24/django-mvx-utils

28bb9479b7c0a542f9fabf4d1952215bd77059b0

[ "MIT" ]

null

from setuptools import setup, find_packages setup( name='django-mvx-utils', version='0.0.1', description='Random utils for Django.', url='https://github.com/mvx24/django-mvx-utils', author='mvx24', author_email='cram2400@gmail.com', license='MIT', classifiers=[ 'Development Status :: 3 - Alpha', 'Environment :: Console', 'Framework :: Django', 'License :: OSI Approved :: MIT License', 'Operating System :: MacOS :: MacOS X', 'Operating System :: POSIX', 'Operating System :: Unix', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 2 :: Only', 'Topic :: Database', 'Topic :: Software Development :: Libraries :: Python Modules' ], keywords='django utils views decorators', packages=find_packages(exclude=['tests']), install_requires=['django'] )

28.928571

64

0.681481

93

810

5.892473

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0.051095

0.094891

0

0.021739

0.148148

810

27

65

30

0.772464

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1

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true

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0

null

0

1

0

null

0

1

0

2

9ed7b4c6fa47ebfa0702722f4fa4c90e066f5812

403

py

Python

competitive/AtCoder/ABC198/E.py

pn11/benkyokai

9ebdc46b529e76b7196add26dbc1e62ad48e72b0

[ "MIT" ]

null

competitive/AtCoder/ABC198/E.py

pn11/benkyokai

9ebdc46b529e76b7196add26dbc1e62ad48e72b0

[ "MIT" ]

22

2020-03-24T16:24:47.000Z

2022-02-26T15:51:18.000Z

competitive/AtCoder/ABC198/E.py

pn11/benkyokai

9ebdc46b529e76b7196add26dbc1e62ad48e72b0

[ "MIT" ]

null

# 書きかけ N = int(input()) C = [int(x) for x in input().split()] A = [] B = [] for _ in range(N-1): a, b = [int(x) for x in input().split()] A.append(a) B.append(b) print(N, C, A, B) # 1からi までの経路に登場した色 colors = [set()]*N #colors[0] = C[0] childs = [list()]*N for a, b in ans = [] def dfs(i, colors): if C[i] in colors[i]: pass else: ans.append(i) dfs[]

13

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0.491315

72

403

2.736111

0.402778

0.050761

0.071066

0.081218

0.213198

0

0.014085

0.295285

403

30

45

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0.679577

0.091811

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null

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null

0.052632

0

null

0

null

0

1

0

1

0

2

9ee53816f100085c662ffcaf1cd9853ae5ac8013

435

py

Python

vendor/packages/translate-toolkit/translate/misc/wsgiserver/__init__.py

DESHRAJ/fjord

8899b6286b23347c9b024334e61c33fe133e836d

[ "BSD-3-Clause" ]

null

vendor/packages/translate-toolkit/translate/misc/wsgiserver/__init__.py

DESHRAJ/fjord

8899b6286b23347c9b024334e61c33fe133e836d

[ "BSD-3-Clause" ]

1

2021-12-13T20:55:07.000Z

vendor/packages/translate-toolkit/translate/misc/wsgiserver/__init__.py

DESHRAJ/fjord

8899b6286b23347c9b024334e61c33fe133e836d

[ "BSD-3-Clause" ]

null

__all__ = ['HTTPRequest', 'HTTPConnection', 'HTTPServer', 'SizeCheckWrapper', 'KnownLengthRFile', 'ChunkedRFile', 'MaxSizeExceeded', 'NoSSLError', 'FatalSSLAlert', 'WorkerThread', 'ThreadPool', 'SSLAdapter', 'CherryPyWSGIServer', 'Gateway', 'WSGIGateway', 'WSGIGateway_10', 'WSGIGateway_u0', 'WSGIPathInfoDispatcher', 'get_ssl_adapter_class'] from wsgiserver import *

43.5

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435

9

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null

0

1

0

null

0

2

9ee6fb39992d422378b31e8e414a792ec4645847

2,272

py

Python

bnbapp/protocols/middleware.py

Bionetbook/bionetbook

c92d5bbdc5c121631c2230cf93aa63977d381f30

[ "MIT" ]

null

bnbapp/protocols/middleware.py

Bionetbook/bionetbook

c92d5bbdc5c121631c2230cf93aa63977d381f30

[ "MIT" ]

null

bnbapp/protocols/middleware.py

Bionetbook/bionetbook

c92d5bbdc5c121631c2230cf93aa63977d381f30

[ "MIT" ]

null

from django.core.urlresolvers import reverse from django.http import HttpResponse, HttpResponseRedirect # from django.contrib import messages from protocols.models import Protocol from django.http import Http404 # class ConfirmProfile(object): # def process_response(self, request, response): # my_profile = getattr(request, "my_profile", None) # if not hasattr(request, "user"): # return response # if request.user.is_anonymous(): # return response # if my_profile == None: # current_path = request.get_full_path() # # TODO write this cleaner # paths = ('profile_update', 'logout', ) # valid_path = False # for path in paths: # if current_path.startswith(reverse(path)): # valid_path = True # if not valid_path: # messages.add_message(request, messages.ERROR, "Please fill out your profile.") # return HttpResponseRedirect(reverse('profile_update')) # return response class ProtocolAccess(object): def process_view(self, request, view_func, view_args, view_kwargs): if "protocol_slug" in view_kwargs: user = getattr(request, "user", None) if user: try: protocol = Protocol.objects.get(slug=view_kwargs["protocol_slug"]) except Protocol.DoesNotExist: print "%s failed to access non-existant protocol" % (user) raise Http404 if not protocol.user_has_access(user): print "%s failed to access %s" % (user, protocol) raise Http404 # How about returning a 404 response return # def process_view(self, request, view_func, view_args, view_kwargs): # __traceback_hide__ = True # toolbar = self.__class__.debug_toolbars.get(threading.currentThread().ident) # if not toolbar: # return # result = None # for panel in toolbar.panels: # response = panel.process_view(request, view_func, view_args, view_kwargs) # if response: # result = response # return result

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2,272

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null

0.111111

0

null

0

null

0

1

0

1

0

2

9eed40bafe8e6b5f2bb89c019adccc71431c31f3

5,465

py

Python

sacla/scripts/backups/old_scripts/sacla2_Chip_Collect1_v2.py

beamline-i24/DiamondChips

02fb58a95ad2c1712c41b641eb5f197d688c54c3

[ "Apache-2.0" ]

null

sacla/scripts/backups/old_scripts/sacla2_Chip_Collect1_v2.py

beamline-i24/DiamondChips

02fb58a95ad2c1712c41b641eb5f197d688c54c3

[ "Apache-2.0" ]

null

sacla/scripts/backups/old_scripts/sacla2_Chip_Collect1_v2.py

beamline-i24/DiamondChips

02fb58a95ad2c1712c41b641eb5f197d688c54c3

[ "Apache-2.0" ]

null

import pv import os, re, sys import time, math, string from time import sleep from ca import caput, caget from sacla2_Chip_StartUp1 import get_xy from sacla2_Chip_StartUp1 import make_path_dict from sacla2_Chip_StartUp1 import scrape_dcparameters ############################################### # OLD Chip_Collect from SACLA1 experiment # # This version last edited 21Oct2016 by DAS # ############################################### def get_chip_prog_values(xstart=0, ystart=0, xblocks=9, yblocks=9, coltype=41, block_id=11, num_of_shots=1): chip_dict = \ {'X_NUM_STEPS': [11, 12], 'Y_NUM_STEPS': [12, 12], 'X_STEP_SIZE': [13, 0.125], 'Y_STEP_SIZE': [14, 0.125], #'X_STEP_SIZE': [13, 0.001], #'Y_STEP_SIZE': [14, 0.001], 'DWELL_TIME': [15, 16], #SACLA 15ms + 1ms #'DWELL_TIME': [15, 55], #10Hz test #'DWELL_TIME': [15, 105], #5Hz test 'X_START': [16, xstart], 'Y_START': [17, ystart], 'Z_START': [18, 0], 'X_NUM_BLOCKS': [20, xblocks], 'Y_NUM_BLOCKS': [21, yblocks], 'X_BLOCK_SIZE': [24, 2.2], 'Y_BLOCK_SIZE': [25, 2.5], 'COLTYPE': [26, coltype], 'N_EXPOSURES': [30, num_of_shots], 'BLOCK_ID': [31, block_id]} return chip_dict def load_motion_program_data(motion_program_dict, map_type): print 'Loading prog vars for chip' if map_type == '0': prefix = 11 elif map_type == '1': prefix = 11 elif map_type == '2': prefix = 12 elif map_type == '3': prefix = 13 else: print 'Unknown map_type' #for k, v in motion_program_dict.items(): for key in sorted(motion_program_dict.keys()): v = motion_program_dict[key] pvar_base = prefix * 100 pvar = pvar_base + v[0] value = str(v[1]) s = 'P' + str(pvar) + '=' + str(value) print key, '\t', s caput(pv.me14e_pmac_str, s) sleep(0.02) print 'done' def main(): print 'Starting' starttime = time.ctime() caput(pv.me14e_pmac_str, '!x0y0z0') chipname, visit_id, proteinname, num_of_shots, chip_type, map_type, path_key = scrape_dcparameters() if map_type == '0' or map_type == '1': path_dict = make_path_dict() print path_dict.keys() print path_key + '_classic' print path_dict[path_key + '_classic'] xstart, ystart, xblocks, yblocks, coltype, path = path_dict[path_key + '_classic'] # What is block id? Is it used by the motion program? block_id = str(string.uppercase.index(path[0][0])+1) + path[0][1] print '\n\nChip name is', chipname print 'visit_id', visit_id print 'proteinname', proteinname print 'path_key:', path_key print 'path:', path print 'xstart', xstart print 'ystart', ystart print 'xblocks', xblocks print 'yblocks', yblocks print 'Block ID', block_id print 'coltype', coltype print 'num_of_shots', num_of_shots chip_prog_dict = get_chip_prog_values(xstart, ystart, xblocks, yblocks, coltype, block_id, num_of_shots) print 'Moving to Start' caput(pv.me14e_pmac_str, '!x%sy%sz0' %(xstart, ystart)) sleep(1.5) load_motion_program_data(chip_prog_dict, map_type) print 'Killing Camera' #caput('ME14E-DI-CAM-01:CAM:Acquire', 'Done') #caput('ME14E-DI-CAM-03:CAM:Acquire', 'Done') #sleep(0.2) caput(pv.me14e_pmac_str, '&2b11r') endtime = time.ctime() print 3*'\n' print 'Summary' print 'Chip name:', chipname print 'Protein name:', proteinname print 'Start time:', starttime print 'End time:', endtime #caput(pv.me14e_pmac_str, '!x0y0z0') print 3*'\n' elif map_type == '2': path_dict = make_path_dict() print path_dict.keys() print path_key + '_classic' print path_dict[path_key + '_classic'] xstart, ystart, xblocks, yblocks, coltype, path = path_dict[path_key + '_classic'] # What is block id? Is it used by the motion program? block_id = str(string.uppercase.index(path[0][0])+1) + path[0][1] print '\n\nChip name is', chipname print 'visit_id', visit_id print 'proteinname', proteinname print 'path_key:', path_key print 'path:', path print 'xstart', xstart print 'ystart', ystart print 'Block ID', block_id print 'coltype', coltype print 'num_of_shots', num_of_shots chip_prog_dict = get_chip_prog_values(xstart, ystart, xblocks, yblocks, coltype, block_id, num_of_shots) print 'Moving to Start' caput(pv.me14e_pmac_str, '!x%sy%sz0' %(xstart, ystart)) sleep(1.5) load_motion_program_data(chip_prog_dict, map_type) print 'Killing Camera' #caput('ME14E-DI-CAM-01:CAM:Acquire', 'Done') #caput('ME14E-DI-CAM-03:CAM:Acquire', 'Done') #sleep(0.2) caput(pv.me14e_pmac_str, '&2b12r') endtime = time.ctime() print 3*'\n' print 'Summary' print 'Chip name:', chipname print 'Protein name:', proteinname print 'Start time:', starttime print 'End time:', endtime #caput(pv.me14e_pmac_str, '!x0y0z0') print 3*'\n' elif map_type == '3': caput(pv.me14e_pmac_str, '&2b13r') else: print 'Unknown map_type' if __name__ == "__main__": main()

35.718954

112

0.595425

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4.105474

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0.581463

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0

0.048913

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5,465

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null

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0

null

0

null

0

1

0

1

0

2

9ef0a1444b69d219ecc8a8b82f81b03a1e233e44

308

py

Python

inventory/admin.py

mugagambi/retail-system

82bd9f243836aadee001fa7f17d1d93441214aa8

[ "MIT" ]

1

2019-10-08T13:53:49.000Z

inventory/admin.py

mugagambi/retail-system

82bd9f243836aadee001fa7f17d1d93441214aa8

[ "MIT" ]

null

inventory/admin.py

mugagambi/retail-system

82bd9f243836aadee001fa7f17d1d93441214aa8

[ "MIT" ]

null

from django.contrib import admin from inventory import models class ItemAdmin(admin.ModelAdmin): list_display = ('name', 'total_units', 'remaining_units', 'unit_price', 'description', 'account') list_select_related = True # Register your models here., admin.site.register(models.Item, ItemAdmin)

25.666667

101

0.756494

38

308

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308

11

102

28

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1

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false

0

0.333333

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0.833333

0

null

0

null

0

1

0

1

0

2

7301f0c2a525c80ce274bc4c8d17bd9d113eff79

755

py

Python

startcbv/templates/startcbv/urls.py

audreyfeldroy/django-startcbv

de936e0b16df3f6bedc40f145bf339facc7f6c24

[ "MIT" ]

1

2019-10-31T00:16:45.000Z

startcbv/templates/startcbv/urls.py

audreyr/django-startcbv

de936e0b16df3f6bedc40f145bf339facc7f6c24

[ "MIT" ]

2

2020-02-11T21:50:44.000Z

2020-06-05T16:46:34.000Z

startcbv/templates/startcbv/urls.py

audreyfeldroy/django-startcbv

de936e0b16df3f6bedc40f145bf339facc7f6c24

[ "MIT" ]

null

from django.conf.urls.defaults import * from django.views.generic import DetailView, ListView from {{ app_name }}.models import {{ model_name }} urlpatterns = patterns('{{ app_name }}.views', url(regex=r'^$', view=ListView.as_view( queryset={{ model_name }}.objects.order_by('-pub_date'), context_object_name='latest_{{ model_name.lower }}_list', template_name='{{ app_name }}/{{ model_name.lower }}_list.html'), name='{{ model_name.lower }}_list', ), url(regex=r'^(?P<slug>[-\w]+)/$', view=DetailView.as_view( model={{ model_name }}, template_name='{{ app_name }}/{{ model_name.lower }}_detail.html'), name='{{ model_name.lower }}_detail', ), )

37.75

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0.598675

89

755

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0.164319

0.169014

0.305164

0.15493

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0.215894

755

19

80

39.736842

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0.111111

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0.312583

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null

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0.166667

null

0

null

0

1

0

null

0

1

0

2

731fa63ccfa67e69478fd1db5327150337fbbe9d

976

py

Python

core/db_connection.py

RelativeProgramming/postgres-retrofit

f6e67288d6a6f9e07f581c2cbc77dd69ab946817

[ "MIT" ]

null

core/db_connection.py

RelativeProgramming/postgres-retrofit

f6e67288d6a6f9e07f581c2cbc77dd69ab946817

[ "MIT" ]

null

core/db_connection.py

RelativeProgramming/postgres-retrofit

f6e67288d6a6f9e07f581c2cbc77dd69ab946817

[ "MIT" ]

null

import json import os import psycopg2 DB_CONFIG_PATH = os.path.dirname(__file__) + '/../config/db_config.json' def get_db_config(path=DB_CONFIG_PATH): f_db_config = open(path, 'r') db_config = json.loads(f_db_config.read()) f_db_config.close() return db_config def get_bytea(value): return psycopg2.Binary(value) def create_connection(db_config): con = None cur = None # create db connection try: con = psycopg2.connect( "dbname='" + db_config['db_name'] + "' user='" + db_config['username'] + "' host='" + db_config['host'] + "' password='" + db_config['password'] + "'") except: print('ERROR: Can not connect to database') print("dbname='" + db_config['db_name'] + "' user='" + db_config['username'] + "' host='" + db_config['host'] + "' password='" + db_config['password'] + "'") return cur = con.cursor() return con, cur

27.111111

72

0.586066

120

976

4.5

0.35

0.266667

0.066667

0.059259

0.296296

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0.004121

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976

35

73

27.885714

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0.020492

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0.148148

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0.197065

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0.111111

false

0.074074

0.111111

0.037037

0.37037

0.074074

0

null

1

0

null

0

1

0

2

732140286a41f14b791db10a3c6ebc3beceaf85d

391

py

Python

napari/_qt/menus/window_menu.py

sandutsar/napari

37d476bc0b00252177f17f25e7d1fd52ddc4bb69

[ "BSD-3-Clause" ]

2

2020-06-18T20:15:41.000Z

2021-08-11T02:10:58.000Z

napari/_qt/menus/window_menu.py

sandutsar/napari

37d476bc0b00252177f17f25e7d1fd52ddc4bb69

[ "BSD-3-Clause" ]

7

2020-04-11T03:37:54.000Z

2021-01-31T22:41:35.000Z

napari/_qt/menus/window_menu.py

DragaDoncila/napari

044beba342ef392f4cbed2e8e3a27f27d4799ccb

[ "BSD-3-Clause" ]

3

2020-08-29T21:07:38.000Z

2022-01-10T15:36:16.000Z

from typing import TYPE_CHECKING from qtpy.QtWidgets import QMenu from ...utils.translations import trans from ._util import populate_menu if TYPE_CHECKING: from ..qt_main_window import Window class WindowMenu(QMenu): def __init__(self, window: 'Window'): super().__init__(trans._('&Window'), window._qt_window) ACTIONS = [] populate_menu(self, ACTIONS)

23

63

0.71867

49

391

5.367347

0.510204

0.091255

0.121673

0

0.184143

391

16

64

24.4375

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0.033248

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false

0

0.454545

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0.636364

0

null

0

null

0

1

0

1

0

2

73225bc0a64c76b6032770b03dae6f3ea52cfb16

653

py

Python

Taller_Estructuras_de_Control_Secuenciales/Ejercicio_07.py

LeonardoJimenezUbaque/Algoritmos_y_Programacion_C4_G2

7bb6fffa7d5d99ac2b5c0a3724f97a84e145bbb7

[ "MIT" ]

null

Taller_Estructuras_de_Control_Secuenciales/Ejercicio_07.py

LeonardoJimenezUbaque/Algoritmos_y_Programacion_C4_G2

7bb6fffa7d5d99ac2b5c0a3724f97a84e145bbb7

[ "MIT" ]

null

Taller_Estructuras_de_Control_Secuenciales/Ejercicio_07.py

LeonardoJimenezUbaque/Algoritmos_y_Programacion_C4_G2

7bb6fffa7d5d99ac2b5c0a3724f97a84e145bbb7

[ "MIT" ]

null

""" Ejercicio 07 Dada una cantidad en metros, se requiere que la convierta a pies y pulgadas, considerando lo siguiente: 1 metro = 39.27 pulgadas; 1 pie = 12 pulgadas. Entradas Metros --> Float --> M Salidas Pies --> Float --> P_I Pulgadas --> Float--> P_U """ # Instrucciones al usuario print("Para conocer cual es la cantidad de pies y pulgadas a las que equivale sus metros, escriba lo siguiente: ") # Entradas M = float(input("Digite la cantidad de metros: ")) # Caja Negra P_I = M*3.281 P_U = M*39.27 # Salidas print(f"Su cantidad de metros en pies es igual a: {P_I} pies") print(f"Su cantidad de metros en pulgadas es igual a: {P_U} pulgadas")

28.391304

114

0.713629

114

653

4.035088

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0.104348

0.069565

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0

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0.179173

653

22

115

29.681818

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0.471669

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0.5

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null

0

1

0

null

0

1

0

2

7328af9439c5736f563cdd611bc972da86333670

312

py

Python

Misc/helpers.py

ManuelFre/OEC-BB

8796e8313af82497b6aa2d988d2dbf65649acfa2

[ "MIT" ]

null

Misc/helpers.py

ManuelFre/OEC-BB

8796e8313af82497b6aa2d988d2dbf65649acfa2

[ "MIT" ]

null

Misc/helpers.py

ManuelFre/OEC-BB

8796e8313af82497b6aa2d988d2dbf65649acfa2

[ "MIT" ]

null

from Config.settings import DEBUG_PRINT def debug_print(msg): """ Prints messages only if DEBUG_PRINT is set to True in the settings. This function is used instead of print throughout the entire app. Args: msg (str/int/obj): message to print """ if DEBUG_PRINT: print(msg)

24

75

0.679487

47

312

4.425532

0.659574

0.192308

0.115385

0

0.253205

312

12

76

26

0.892704

0.576923

0

1

0.25

false

0

0.25

0

0.5

0

null

0

null

0

1

0

1

0

2

7329f83ecd476b7be1c9c68dfae5ce905b2d3db9

950

py

Python

honeybot/plugins/bitcoin.py

marceloyb/honeybot

b2b92af54d01228ec150185eaa08a4baf55f1c88

[ "MIT" ]

null

honeybot/plugins/bitcoin.py

marceloyb/honeybot

b2b92af54d01228ec150185eaa08a4baf55f1c88

[ "MIT" ]

null

honeybot/plugins/bitcoin.py

marceloyb/honeybot

b2b92af54d01228ec150185eaa08a4baf55f1c88

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ [bitcoin.py] Bitcoin Price Checking Plugin [Author] Gabriele Ron [Website] https://Macr0Nerd.github.io [About] Checks the current price for Bitcoin through the Legacy Coin Market Cap API TODO: Update API to new Coin Market Cap API [Commands] >>> .btc returns current value of bitcoin """ import requests class Plugin: def __init__(self): self.api_url = "https://api.coinmarketcap.com/v1/ticker/bitcoin/" pass def run(self, incoming, methods, info): try: #msgs = info['args'][1:][0].split() if info['command'] == 'PRIVMSG' and info['args'][1] == '.btc': response = requests.get("https://api.coinmarketcap.com/v1/ticker/bitcoin/") response_json = response.json() methods['send'](info['address'], "$" + response_json[0]['price_usd']) except Exception as e: print('woops plugin', __file__, e)

24.358974

91

0.613684

119

950

4.798319

0.630252

0.063047

0.045534

0.056042

0.136602

0

0.01105

0.237895

950

38

92

25

0.777624

0.362105

0

0.252931

0

0.026316

0

1

0.153846

false

0.076923

0

0.307692

0.076923

0

null

0

null

0

1

0

1

0

2

732c55d8dd6a041ee9789daaf23e7e21398f768f

125

py

Python

2/functions.py

Gregorita12/training2019

50e8637b43c5d33ed41ebe8f5650dd49ff8c4171

[ "MIT" ]

4

2019-11-05T18:12:48.000Z

2019-12-17T14:14:24.000Z

2/functions.py

Gregorita12/training2019

50e8637b43c5d33ed41ebe8f5650dd49ff8c4171

[ "MIT" ]

1

2019-12-15T13:15:17.000Z

2/functions.py

Gregorita12/training2019

50e8637b43c5d33ed41ebe8f5650dd49ff8c4171

[ "MIT" ]

3

2019-12-15T12:10:17.000Z

2019-12-17T14:24:22.000Z

def is_prime(a): if a % 2 == 0: print("Brawo!!") return ":)" return ":(" x = is_prime(4) print(x)

11.363636

24

0.44

18

125

2.944444

0.666667

0.264151

0

0.037037

0.352

125

10

25

12.5

0.617284

0

0.08871

0

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0

0.428571

0.285714

1

0

null

1

0

null

0

2

732d9507a98d31fa7042f28459ab1202cabd4be0

2,807

py

Python

app/code/data_quality_check.py

tanviwagh/Movies_Analysis

6ef9774988535031e8a63d890e47bf530a9bafec

[ "MIT" ]

null

app/code/data_quality_check.py

tanviwagh/Movies_Analysis

6ef9774988535031e8a63d890e47bf530a9bafec

[ "MIT" ]

34

2022-01-23T11:59:15.000Z

2022-03-29T12:02:53.000Z

app/code/data_quality_check.py

tanviwagh/Movies_Analysis

6ef9774988535031e8a63d890e47bf530a9bafec

[ "MIT" ]

1

2022-03-18T15:52:23.000Z

from pyspark.sql.functions import col def process(spark, config): db_name = config['athena']['db_name'] movie_tbl_name = config['athena']['movie_tbl_name'] genre_tbl_name = config['athena']['genre_tbl_name'] artist_tbl_name = config['athena']['artist_tbl_name'] music_tbl_name = config['athena']['music_tbl_name'] director_tbl_name = config['athena']['director_tbl_name'] producer_tbl_name = config['athena']['producer_tbl_name'] writer_tbl_name = config['athena']['writer_tbl_name'] table_exists_check(spark, db_name, movie_tbl_name) table_exists_check(spark, db_name, genre_tbl_name) table_exists_check(spark, db_name, artist_tbl_name) table_exists_check(spark, db_name, music_tbl_name) table_exists_check(spark, db_name, director_tbl_name) table_exists_check(spark, db_name, producer_tbl_name) table_exists_check(spark, db_name, writer_tbl_name) row_count_check(spark, db_name, movie_tbl_name) row_count_check(spark, db_name, genre_tbl_name) row_count_check(spark, db_name, artist_tbl_name) row_count_check(spark, db_name, music_tbl_name) row_count_check(spark, db_name, director_tbl_name) row_count_check(spark, db_name, producer_tbl_name) row_count_check(spark, db_name, writer_tbl_name) non_null_check(spark, db_name, movie_tbl_name) non_null_check(spark, db_name, genre_tbl_name) non_null_check(spark, db_name, artist_tbl_name) non_null_check(spark, db_name, music_tbl_name) non_null_check(spark, db_name, director_tbl_name) non_null_check(spark, db_name, producer_tbl_name) non_null_check(spark, db_name, writer_tbl_name) def table_exists_check(spark, db_name, tbl_name): if spark._jsparkSession.catalog().tableExists(db_name, tbl_name): print("Table exists") else: raise Exception("Table {db_name}.{tbl_name} does not exist".format(db_name=db_name, tbl_name=tbl_name)) def row_count_check(spark, db_name, tbl_name): SQL = """ SELECT COUNT(*) FROM {db_name}.{tbl_name} """.format(db_name=db_name, tbl_name=tbl_name) count_df = spark.sql(SQL) if count_df.collect()[0][0] > 0: print("Row count check successful") else: raise Exception("Row count check has failed for {db_name}.{tbl_name}".format(db_name=db_name, tbl_name=tbl_name)) def non_null_check(spark, db_name, tbl_name): SQL = """ SELECT imdbID FROM {db_name}.{tbl_name} """.format(db_name=db_name, tbl_name=tbl_name) data_df = spark.sql(SQL) filter_cond = col('imdbID').isNull() filtered_df = data_df.filter(filter_cond) if filtered_df.count() == 0: print("Non-NULL check successful") else: raise Exception("Non-NULL check has failed for {db_name}.{tbl_name}".format(db_name=db_name, tbl_name=tbl_name))

36.454545

121

0.735305

442

2,807

4.244344

0.122172

0.201493

0.153518

0.204691

0.670576

0.6258

0.59968

0.527186

0.138593

0

0.001676

0.149982

2,807

76

122

36.934211

0.784577

0

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0

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0

null

1

0

1

0

null

0

2

733258d8d95497e1dfed6c7c8959c5b04aca2b76

5,973

py

Python

pylint_plugins/py2exe_checker.py

zkanda/scalyr-agent-2

81bde110337b5e7dc5045f26097b721e1ff4ebae

[ "Apache-2.0" ]

67

2015-02-03T00:35:33.000Z

2022-03-23T10:14:26.000Z

pylint_plugins/py2exe_checker.py

kdelph23/scalyr-agent-2

6b975db59367d271eeba6a614ac40c7cb4205c41

[ "Apache-2.0" ]

578

2015-04-09T08:58:56.000Z

2022-03-30T12:13:21.000Z

pylint_plugins/py2exe_checker.py

kdelph23/scalyr-agent-2

6b975db59367d271eeba6a614ac40c7cb4205c41

[ "Apache-2.0" ]

58

2015-01-15T22:00:43.000Z

2022-02-18T15:48:31.000Z

# Copyright 2020 Scalyr Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ pylint checker plugin used to enforce invariants necessary for `py2exe` to work correctly (`py2exe` is the tool used to generate the Windows binaries). These invariants are difficult to enforce in other, more traditional ways. See below for more specifics about the checker and the invariants it enforces. """ from __future__ import absolute_import if False: # NOSONAR from typing import Any from typing import Union from astroid import node_classes, scoped_nodes from pylint.checkers import BaseChecker from pylint.interfaces import IAstroidChecker from setup import WINDOWS_MONITOR_MODULES_TO_INCLUDE, WINDOWS_PY2_SIX_MOVES_IMPORTS class Py2ExeChecker(BaseChecker): """Enforces two key invariants for py2exe to work: 1. Any module imported using `six.moves` is listed in the `WINDOWS_PY2_SIX_MOVES_IMPORTS` dict. This is important because `py2exe` cannot correctly infer dependencies from modules imported in this manner. This would result in the necessary modules not being included in the Windows binary and thus causing it to fail when run. Instead, we use the `WINDOWS_PY2_SIX_MOVES_IMPORTS` dict to give `py2exe` a manual list of modules to include. 2. Any monitor that should be included in the Windows binary is listed in the `WINDOWS_MONITOR_MODULES_TO_INCLUDE` set. This is important because monitors are loaded dynamically at runtime and are, therefore, not included by default by `py2exe` through its static dependency analysis. This would result in the monitors not being available in the Windows binary. Instead, we use this list to give `py3exe` a manual list of modules to include. """ __implements__ = IAstroidChecker name = "scalyr-py2exe-checker" SIX_MOVES_IMPORT_NOT_INCLUDED_FOR_WIN32 = "six-moves-import-not-included-for-win32" MONITOR_NOT_INCLUDED_FOR_WIN32 = "monitor-not-included-for-win32" msgs = { "E8101": ( 'Found six.moves import "%s" on line %d, but module is not included for py2exe. Windows binary ' "will not properly include all dependencies for the module. Please edit WINDOWS_PY2_SIX_MOVES_IMPORTS to " "add the module and dependencies.", SIX_MOVES_IMPORT_NOT_INCLUDED_FOR_WIN32, "", ), "E8102": ( 'Found definition for monitor "%s" in module "%s", but that module is not listed in ' "WINDOWS_MONITOR_MODULES_TO_INCLUDE. This monitor will not be included in the Windows binary. Add the " "monitor's module to the list in platform_windows.py to fix.", MONITOR_NOT_INCLUDED_FOR_WIN32, "", ), } options = () priority = -1 def __init__(self, linter): # type: (Any) -> None super(Py2ExeChecker, self).__init__(linter) # Keeps track of the current module being visited. self.__current_module = None def visit_module(self, node): # type: (scoped_nodes.Module) -> None self.__current_module = node.name def leave_module(self, _node): # type: (scoped_nodes.Module) -> None self.__current_module = None def visit_import(self, node): # type: (node_classes.Import) -> None # Invoked when visiting a line like `import x,y,z`. The modules are in a list in `node.names`. if self.__is_scalyr_agent_module: for import_fragment in node.names: self.__verify_six_import_in_whitelist(import_fragment[0], node) def visit_importfrom(self, node): # type: (node_classes.ImportFrom) -> None # Invoked when visiting a line like `from module import x,y,z`. The module name is in # node.modname and the actual imports are in a list in node.names. if self.__is_scalyr_agent_module: module_name = node.modname for import_fragment in node.names: self.__verify_six_import_in_whitelist( "%s.%s" % (module_name, import_fragment[0]), node ) def visit_classdef(self, node): # type: (node_classes.ClassDef) -> None class_name = node.name if ( "ScalyrMonitor" in node.basenames and self.__current_module not in WINDOWS_MONITOR_MODULES_TO_INCLUDE ): args = (class_name, self.__current_module) self.add_message(self.MONITOR_NOT_INCLUDED_FOR_WIN32, node=node, args=args) @property def __is_scalyr_agent_module(self): # type: () -> bool return self.__current_module is not None and self.__current_module.startswith( "scalyr_agent" ) def __verify_six_import_in_whitelist(self, import_name, import_node): # type: (str, Union[node_classes.Import,node_classes.ImportFrom]) -> None """ Verify any imports from `six.moves` are in the known dict list. """ if ( import_name.startswith("six.moves") and import_name not in WINDOWS_PY2_SIX_MOVES_IMPORTS ): args = (import_name, import_node.lineno) self.add_message( self.SIX_MOVES_IMPORT_NOT_INCLUDED_FOR_WIN32, node=import_node, args=args, ) def register(linter): # type: (Any) -> None linter.register_checker(Py2ExeChecker(linter))

40.910959

119

0.681232

800

5,973

4.87125

0.2825

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0.032333

0.039004

0.335643

0.23223

0.177059

0.100334

0.082114

0

0.012029

0.248451

5,973

145

120

41.193103

0.856093

0.415871

0

0.186667

0

0.013333

0.181926

0.045481

0

1

0.12

false

0

0.32

0.013333

0.56

0

null

0

null

0

1

0

1

0

2

733a2c802b0b4e1091569c0a77e77cbb8f89e0ec

1,259

py

Python

PipeCatalogue.py

DrTol/DynamicPipeModel_Python

83974ecfc0de17da73903ce2003789c6607665c2

[ "CC0-1.0" ]

1

2020-11-20T13:48:43.000Z

PipeCatalogue.py

DrTol/DynamicPipeModel_Python

83974ecfc0de17da73903ce2003789c6607665c2

[ "CC0-1.0" ]

null

PipeCatalogue.py

DrTol/DynamicPipeModel_Python

83974ecfc0de17da73903ce2003789c6607665c2

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- """ Pipe Catalogue Data - Single Steel Pipe by LOGSTOR Created on Mon Nov 2 20:14:25 2020 @author: Hakan İbrahim Tol, PhD References: [1] LOGSTOR, Product Catalogue Version 2018.12. https://www.logstor.com/media/6115/product-catalogue-uk-201812.pdf """ def LayerDiameters(DN,IS): # DN: Nominal pipe diameter # IS: Insulation series DN_l=[20,25,32,40,50,65,80,100,125] if DN not in DN_l: raise TypeError("Nominal Pipe Diameter can be:", DN_l) d1_l=[21.7,28.5,37.2,43.1,54.5,70.3,82.5,107.1,132.5] d2_l=[26.9,33.7,42.4,48.3,60.3,76.1,88.9,114.3,139.7] if IS==1: d3_l=[84,84,104,104,119,134,154,193.6,218.2] d4_l=[90,90,110,110,125,140,160,200,225] elif IS==2: d3_l=[104,104,119,119,134,154,174,218.2,242.8] d4_l=[110,110,125,125,140,160,180,225,250] elif IS==3: d3_l=[119,119,134,134,154,174,193.6,242.8,272.2] d4_l=[125,125,140,140,160,180,200,250,280] else: raise TypeError("Insulation Series (IS) can be one of (poor) 1, 2, or 3 (good)") ind=DN_l.index(DN) return d1_l[ind]*0.001,d2_l[ind]*0.001,d3_l[ind]*0.001,d4_l[ind]*0.001

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