Saravanan666/pypi-org huggingface dataset:
Package: interfacer
interfacer - fitdistplusPacote para facilitar a utilização de algumas funcionalidades dofitdistrplusem Python.FuncionalidadesAtualmente, estão disponíveis no pacote as seguintes funcionalidades:plotdist;fitdist;descdist.InstalaçãoA instalação do pacote pode ser feita via pip, como apresentado abaixopipinstallinterfacerExemplo de utilizaçãoimportinterfacer.descdistimportinterfacer.jupyter_helperdata_owd=pd.read_csv('https://covid.ourworldindata.org/data/owid-covid-data.csv')bra=data_owd[data_owd['iso_code']=='BRA']withinterfacer.jupyter_helper.cellplot(width=800,height=640):interfacer.descdist.descdist(bra.new_cases,boot=250)Note que pode ser necessário configurar o ambiente R e Python juntos, recomenda-se o Anaconda para gerenciar os pacotes de R e PythonSobrePacote criado por Felipe Menino para facilitar as atividades desenvolvidas nas aulas de Matemática Computacional.
Package: interface-testcases
interface_testcases接口多参数测试用例生成功能特性正常值pairwise-2组合的用例异常值用例不传必选参数用例不传全部可选参数的用例使用指南安装方法1. pip安装：pip install interface-testcases方法2. 下载源代码：git clonegit@github.com:caiyizhang/interface_testcases.git$ cd interface_testcases
$ pip install .示例frominterface_testcases.testcasesimportInterfaceTestcases# 传入参数一行代表一个参数，一个参数有3个属性。# 前两个是列表，最后一个是布尔类型。分别是正常值、异常值和是否必选参数params=[[[1,2],[0,3],False],[[-1,-2],[0,-3],True],[[-3,3],[-2,4],False]]forcaseinInterfaceTestcases(params):print(case)# 结合pytestimportpytestfrominterface_testcases.testcasesimportInterfaceTestcasesclassTest1(object):@pytest.mark.parametrize(['param_1','param_2','param_3','testcase_label'],[value_listforvalue_listinInterfaceTestcases([[['1','10'],['0','7'],True],[["1",'10','100'],['0','101'],False],[[None,'',2161524184],['1'],False],[[None,'','1','11'],[0,'f2rewrawr'],False]])])deftest_1(self,param_1,param_2,param_3,testcase_label):params={'param_1':param_1,'param_2':param_2,'param_3':param_3}# params删除不传入的参数params={k:vfork,vinparams.items()ifv!='no_param'}iftestcase_label=='normal':do_something_normal()eliftestcase_label=='abnormal':do_something_abnormal()eliftestcase_label=='missing_required_param':do_something_missging_requirde_param()else:pass
Package: interferometer
Interferometer packageThe ability to implement arbitrary interference between any number of optical inputs is useful for both classical and quantum optics. This package provides implementations of the following two papers:Reck, Michael, et al. "Experimental realization of any discrete unitary operator." Physical review letters 73.1 (1994): 58.Clements, William R., et al. "Optimal design for universal multiport interferometers." Optica 3.12 (2016): 1460-1465.These papers show how any interfometer can be implemented by triangular or square meshes of 2x2 beam splitters, which are experimentally simple to fabricate.This package also includes the following features:a function to generate Haar-random unitary matrices of any sizea method for drawing interferometers using matplotliba method for building up interferometers one beam splitter at a timeInstallationThis package requires python 3, and apart from the tests and the demo notebook only numpy and matplotlib are required. You can install this package with:pip install interferometerExamplesA demonstration notebook can be found in the notebook folder. Alternatively, you can try the following code snippet that produces a 5x5 random unitary matrix U describing an interferometer, and determines how this interferometer can be implemented using a square mesh of beam splitters.import interferometer as itf

U = itf.random_unitary(5)
I = itf.square_decomposition(U)
I.draw()TestingYou can run the tests from the root directory withpip install pytest
python -m pytestContributingIf you want to add new features to this package, feel free to suggest pull requests!
Package: interferopy
InterferopyA Python library of common tasks used in the analysis of radio/(sub)mm interferometric data.DocumentationRead the documentation oninterferopy.readthedocs.iofor instructions on how to install and use Interferopy.AcknowledgementIf you make use of Interferopy in your work, please cite it asBoogaard, Meyer & Novak (2021), using the following BibTeX entry:@software{interferopy,
author = {Boogaard, Leindert and Meyer, Romain A. and Novak, Mladen},
doi = {10.5281/ZENODO.5775603},
keywords = {astronomy,interferometry,python},
month = {dec},
title = {{Interferopy: analysing datacubes from radio-to-submm observations}},
url = {https://doi.org/10.5281/ZENODO.5775603},
year = {2021}
}LicenceCopyright (c) 2021 Leindert Boogaard, Romain Meyer, Mladen NovakMIT License.  See the LICENSE file for details.
Package: interflow
interflowinterflowis an open-source Python package for collecting, calculating, organizing, and visualizing cross-sectoral
resource interdependencies and flows.Purposeinterflowprovides a flexible, adaptable, and updatable method to evaluate the interdependencies
between sectors and across regions for multiple resource types. The interdependencies and relationships between
sectors offer multi-faceted and multi-scale opportunities as well as vulnerabilities. Whether it is water, energy,
or otherwise, resources pass from source to discharge by flowing through sectors and are oftentimes a critical
component of a sector's functionality.Theinterflowpackage was created to:Provide a framework to aggregate and organize known resource flows through various sectors within a regionCalculate and build additional flows between sectors in alternative units based on interdependency
intensity valuesProvide data output and visualizations in a format that can be used to answer questions about cross-sectoral
dependencies, how resources flow through sectors in an individual region, and how these dependencies compare across
regions.Though the package comes equipped with sample data for water and energy values across multiple sectors at the US county
level, the interflow package can be used for any region, set of regions, set of sectors, and resource type so long as
the appropriate data is provided by the user.For more information on how the interflow package works, how to generalize it with your own data, seethe
documentation.Installationinterflow can be installed via pip by running the following from a terminal window:pipinstallinterflowQuickstarterSee interflow in action with ourQuickstarter Jupyter Notebookhosted on binder!User GuideIf you're interested in background information and explanations on how the model works visit outUser GuideContributing to interflowSpotted a bug or have a suggestion to improve the model? We'd love your input! See ourguidelines for contributing.
Package: interframe
interframePython CLI for generating intermediate image frames by interpolating between input key frames.DependenciesPython 3.xnumpy/numpygoogle/mediapytensorflow/tensorflowtensorflow/hubInstallation$pipinstallinterframeUsageusage: interframe [-h] -i INPUT [INPUT ...] -o OUTPUT [-n NUM_RECURSIONS]
                [--save_video] [--fps FPS]

Interpolates between two or more images

options:
  -h, --help            show this help message and exit
  -i INPUT INPUT [INPUT ...], --input INPUT INPUT [INPUT ...]
                        Paths for two or more input images
  -o OUTPUT, --output OUTPUT
                        Output directory
  -n NUM_RECURSIONS, --num_recursions NUM_RECURSIONS
                        Number of recursions for interpolating
                        between frames
  --save_video          Save the output as a video
  --fps FPS             Frames per second for the output video
Package: interipport
cyber-security-Aicyber security Ai python homeworkinteripport packageuse python to do some cyber security Ai work.
check the internet connect by google.com, github.com, pypi.org
get public ip and get host ip
check open ports which is using
it works on win32 And maybe work well on server tooHow to install interipport$ pip install interipportHow to run interipport$ interipport$ interipport <ip port[0] port[1]>showcase$interipport 
~be like
http://www.google.com response status code: 200
http://www.github.com response status code: 200
http://pypi.org response status code: 200
host_ip 192.168.3.5
public_ip60.199.119.197

$interipport <ip port[0] port[1]>
~be like
$interipport "127.0.0.1" 6000 6006
http://www.google.com response status code: 200
http://www.github.com response status code: 200
http://pypi.org response status code: 200
host_ip 192.168.3.2
public_ip 60.199.119.197
The occupied port number
6006
Package: interlap
InterLap: simple, fast interval overlap testingInterLap is >20 times faster than doing a naive search (see:https://brentp.github.io/interlap/benchmark.html)
withno memory overheadbecause it operates on a sorted list. It is pure python and has no
dependencies.It uses binary search and a knowledge of the longest observed interval to quickly query datasets
with 100's of thousands of intervals.See the documentation athttps://brentp.github.io/interlap/UsageInterlap takes tuples or lists where the first 2 elements are start, end and the remaining
elements can be anything.>>>frominterlapimportInterLap>>>inter=InterLap()#Here create 10K random intervals:>>>importrandom>>>random.seed(42)>>>sites=random.sample(range(22,100000000,12),50000)>>>ranges=[(i,i+random.randint(2000,20000))foriinsites]>>>inter.update(ranges)>>>inter.add((20,22,{'info':'hi'}))>>>[20,21]ininterTrue>>>next(inter.find((21,21)))(20,22,{'info':'hi'})>>>inter.add((2,3,{'info':'hello'}))*NOTE*:belowshowshowedge-casesarehandled.>>>list(inter.find((2,2)))[(2,3,{'info':'hello'})]>>>list(inter.find((3,3)))[(2,3,{'info':'hello'})]TesteveryitemintheInterLap.These50Kqueriestake<0.5seconds:>>>fors,einranges:...assert(s,e)ininterInterLapobjectsareiterable:>>>forseoininter:...assert(seo[0],seo[1])ininterInstallationpipinstallinterlapExampleIn general, we will want one interlap per chromosome for genomic data.
The snippet below shows a simple way to do that in the process of creating
and then querying some intervals.frominterlapimportInterLapfromcollectionsimportdefaultdictimportsys# use defaultdict to key by chromosome.inter=defaultdict(InterLap)fortoksin(x.rstrip().split("\t")forxinopen(sys.argv[1])):start,end=map(int,toks[1:3])inter[toks[0]].add((start,end,toks))# now find overlaps in another file:fortoksin(x.rstrip().split("\t")forxinopen(sys.argv[2])):start,end=map(int,toks[1:3])printlist(inter[toks[0]].find((start,end)))WhyI am aware of bx-python's interval tree (I wrote the cython version)
but for some projects it is nice to have a simple dependency (or no
dependency since this can be included as a single file or 30 lines
of code) when we just need something a bit better than naive overlap
testing.In my testing, the method implemented here, using a sorted list and keeping
track of the longest observed interval is the fastestpure pythonmethodas long as the longest observed interval is does not cover a substantial
fraction of intervals in the set.IntervalSet OperationsAs of version 0.2.0 Interlap also includes anIntervalclass that behaves
like what is normally called an interval set.# note how it merges overlapping sub-intervals.>>>Interval([(1,95),(95,100)]).add(Interval([(90,100)]))Interval([(1,100)])See the doctests under the Interval class for more details
Package: interledger
interledgerAn easy-to-use, high-performance Interledger implementation written in PythonFree software: MIT licenseDocumentation:https://interledger.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2019-12-11)First release on PyPI.
Package: interlegis.intranetmodelo.departments
ConteúdoIntroduçãoDescrição dos tipos de conteúdoContributorsChangelog1.0b4 (2015-06-17)1.0b3 (2014-10-24)1.0b2 (2014-08-25)1.0b1 (2014-07-02)1.0a1 (2014-06-04)IntroduçãoEste pacote permite implementa a estrutura de departamentos dentro da Intranet Modelo do Programa InterlegisDescrição dos tipos de conteúdoDepartamentoUm departamento representa uma área dentro da estrutura organizacional. Ele pode conter outros departamentos.Ao criar um departamento será também criado um grupo de usuários de mesmo nome na Intranet. Isto se faz necessário para a implementação de controle de acesso aos conteúdos compartilhados entre membros de uma mesma equipe.ContributorsÉrico AndreiHéctor VelardeJean FerriKaryn NassifMarcio MazzaChangelog1.0b4 (2015-06-17)Fix test test_setup.py
[marciomazza]1.0b3 (2014-10-24)Fix tests
[hvelarde]1.0b2 (2014-08-25)Ajustes na distribuição do pacote
[ericof]1.0b1 (2014-07-02)Primeiro release público.1.0a1 (2014-06-04)Initial release.
Package: interlegis.portalmodelo.api
ConteúdoIntroduçãoDetalhes da implementaçãoNome do órgãoTipo do órgãoJSON APIContributorsChangelog1.0b4 (2015-06-17)1.0b3 (2014-08-25)1.0b2 (2014-07-02)1.0b1 (2014-05-16)1.0a1 (2014-04-25)IntroduçãoEste pacote fornece um configlet do painel de controle do Plone para cadastar
os dados básicos da Casa Legislativa:Nome do órgãoTipo do órgãoEndereçoCEPCidadeEstadoCNPJTelefoneEmailO pacote também fornece duas views para consulta de informação em formato
JSON.Detalhes da implementaçãoNome do órgãoO campo nome do órgão deve ficar sempre sincronizado com o título do portal.A implementação é simples: no render do formulario o valor do campo é
atualizado com o valor da propriedadetitledo portal:def updateWidgets(self):
    ...
    portal = api.portal.get()
    self.widgets['title'].value = portal.titleNa hora de guardar o formulario, usamos uminvariantcomo hook para
colocar essa misma informação de volta:@invariant
def update_portal_title_hook(data):
    portal = api.portal.get()
    portal.title = data.titleDesse jeito não importa se o usuário modifica o nome do órgão num formulario
ou no outro.Tipo do órgãoO tipo de órgão é um vocabulário controlado com os seguinte valores possíveis:Assembleia LegislativaCâmara dos DeputadosCâmara LegislativaCâmara MunicipalOutroSenado FederalTribunal de Contas da UniãoTribunal de Contas EstadualTribunal de Contas MunicipalJSON APIO pacote fornece duas views na raiz do portal para consulta de informação em
formato JSON:@@portalmodelo-jsone@@transparency-json.@@portalmodelo-jsonDisponibiliza a informação básica da Casa Legislativa que foi cadastrada no
configlet do painel de controle do portal:{
    "address": "Rua Comendador Roberto Ugolini, 20",
    "city": "Mooca",
    "email": "foo@bar.com",
    "id": "62.863.444/0001-08",
    "kind": "assembleia-legislativa",
    "postal_code": "03125-010",
    "state": "SP",
    "telephone": "+55 11 2271-2000",
    "title": "Portal Modelo"
}@@transparency-jsonDisponibiliza o conteúdo publicado dentro da estrutura de pastas definida para
cumprir com a Lei de Transparência:{
    "acompanhamento": [],
    "despesas": [
        {
            "creation_date": "2014-04-23T22:21:53-03:00",
            "description": "Arquivo em formato CSV.",
            "modification_date": "2014-04-23T22:21:53-03:00",
            "title": "Despesas de 201401",
            "uri": "http://localhost:8080/portal/transparencia/despesas/despesas-de-201401"
        }
    ],
    "licitacoes": [],
    "receitas": [],
    "transferencias": []
}ContributorsHéctor VelardeJean FerriKaryn NassifMarcio MazzaChangelog1.0b4 (2015-06-17)Declare transparency folder ID as a constant
[jeanferri]Fix Transparency API broked when changed main folder IDs
[jeanferri]Fix test test_setup.py
[marciomazza]1.0b3 (2014-08-25)Renamed opendata API URL from transparencia-json to transparency-json.
[jeanferri]1.0b2 (2014-07-02)Primeiro release público.1.0b1 (2014-05-16)Foi implementado o registro do site no Interlegis.Foi implementado no API suporte para os campos dos tipos de conteúdo
Dexterity e para mostrar informação das imagens e os arquivos.1.0a1 (2014-04-25)Initial release.
Package: interlegis.portalmodelo.buscadores
ConteúdoIntroduçãoImplementaçãoPortletsBrowser pagesContributorsChangelog1.0rc5 (2018-12-17)1.0rc4 (2015-08-26)1.0rc3 (2015-06-17)1.0rc2 (2014-10-24)1.0rc1 (2014-10-24)1.0b2 (2014-08-25)1.0b1 (2014-07-02)1.0a1 (2014-03-17)IntroduçãoEste pacote define portlets e browser pages especiais para integrar buscas,
dentro do Portal Modelo, dos seguintes sites externos:LexML Brasil(Rede de Informação Legislativa e Jurídica)Buscador Legislativodo InterlegisAs buscas são integradas através deiframes.ImplementaçãoA implementação das buscas é feita em duas partes: um portlet fornece um
formulário para realizar a busca e chama um browser page que inclui um iframe
com o link de resultados da busca no buscador especificado.PortletsOs seguintes portles são registrados:interlegis.portalmodelo.buscadores.portlets.lexmlpara oLexML Brasilinterlegis.portalmodelo.buscadores.portlets.buscalegpara oBuscador LegislativoBrowser pagesAs seguintes browser pages de resultados são registradas:/lexmlpara oLexML Brasil/buscalegpara oBuscador LegislativoContributorsÉrico AndreiHéctor VelardeJean FerriKaryn NassifMarcio MazzaChangelog1.0rc5 (2018-12-17)Changed URLs http to https in LexML
[IolaneAndrade]1.0rc4 (2015-08-26)Fix product description on Plone installer
[jeanferri]1.0rc3 (2015-06-17)Fix test test_setup.py
[marciomazza]1.0rc2 (2014-10-24)Change IPloneSiteRoot to INavigationRoot to avoid intranet error
[jeanferri]1.0rc1 (2014-10-24)Change portlet name translation
[jeanferri]Refactoring portlets and insert its logo
[jeanferri]Hide UpgradeStep from quickinstaller tool
[ericof]1.0b2 (2014-08-25)Ajustes na distribuição do pacote
[ericof]1.0b1 (2014-07-02)Primeiro release público.1.0a1 (2014-03-17)Initial release.
Package: interlegis.portalmodelo.migrator
IntroduçãoEste pacote faz a migração do Portal Modelo versões 1 e 2 para a nova versão
3.0.Ele é um pacote específico para o Portal Modelo e é pouco provável sua
utilização fora deste contexto.Procedimento de Migraçãohttps://colab.interlegis.leg.br/wiki/MigracaoPortalModeloContributorsJean FerriKaryn NassifMárcio MazzaChangelog1.0a1 (2015-11-30)Prepare for release on Pypi
[jeanferri]Initial release
[marciomazza]
Package: interlegis.portalmodelo.transparency
ConteúdoIntroduçãoTipo de ConteúdoRequisitosContributorsChangelog1.0rc5 (2018-01-03)1.0rc4 (2017-12-08)1.0rc3 (2015-06-17)1.0rc2 (2014-10-24)1.0rc1 (2014-10-24)1.0b2 (2014-08-25)1.0b1 (2014-07-02)1.0a1 (2014-06-05)IntroduçãoO objetivo deste pacote é facilitar a inserção e disponibilização de dados tabulares, em formato CSV.
Ele implementa um novo tipo de conteúdo chamado Dados Tabulares (CSVData) que só poderá ser inserido
dentro das pastas criadas pelo pacote de policy do Portal Modelo.Tipo de ConteúdoEste tipo de conteúdo permite o upload de dados no formato CSV. Estes dados são então exibidos no
portal como uma tabela, mas também podem ser baixados no formato do arquivo original, além de poderem
ser acessados pela API de dados abertos do portal e pesquisados através do mecanismo de buscas do portal.RequisitosEste pacote precisa ser utilzado dentro de um Portal Modelo 3.0.ContributorsÁlvaro Justen (rows package)Érico AndreiHéctor VelardeJean FerriKaryn NassifMarcio MazzaDryIcons(Donwload icons, under free licence)Changelog1.0rc5 (2018-01-03)Change validator import.
[rafahela]1.0rc4 (2017-12-08)Add buttons for download the table in other formats
[jeanferri]Remove incorporated package rows, now using it from PyPI
[jeanferri]1.0rc3 (2015-06-17)Fix test test_setup.py
[marciomazza]1.0rc2 (2014-10-24)Preparing setup.py for releases
[jeanferri]1.0rc1 (2014-10-24)Fix tests
[hvelarde]Fix bug where a CSV without titles resulted in wrong html
[marciomazza]1.0b2 (2014-08-25)Incorporate rows package. This is supposed to be a temporary solution.
[ericof]Fix download url for tabular data.
[ericof]1.0b1 (2014-07-02)First public release
[jeanferri]1.0a1 (2014-06-05)Initial release.
Package: interlegis.recipe.sapl
IntroductionThis recipe enables you to create SAPL as part of a buildout run.ContentsIntroductionDetailed DocumentationContributorsChange history1.0a4 (2015-03-03)1.0a3 (2015-03-03)1.0a2 (2014-10-30)1.0a1 (2014-10-07)DownloadCode repository:https://github.com/interlegis/interlegis.recipe.saplReport bugs athttps://github.com/collective/interlegis.recipe.sapl/issuesDetailed DocumentationContributorsGustavo Lepri [lepri], AuthorChange history1.0a4 (2015-03-03)Nothing changed yet.1.0a3 (2015-03-03)Verificação da existência da base do SAPL para evitar drop das tabeleas
[@lepri]1.0a2 (2014-10-30)Nothing changed yet.1.0a1 (2014-10-07)Estrutura inicial
[@lepri]Download
Package: interlinking
InterlinkingIn development - some bugs will be fixed in next versionConnect between servers or computers and send messages, files or raw python data.How to useServerfrominterlinkingimportServer#Start server. Output: True/False, port, format to encode - default ascii, hostserver=Server()#Server reciving from clients.server.start_server()#show all current connectionsprint(server.connections)#returns True/Falseprint(server.recived_data)#return dataprint(server.data)ClientfrominterlinkingimportClient#Start reciving messages from another clients#name is required, host - server ip, port - server port, output,recive - if recive is enable, encode format - default asciiclient=Client("name")#send message to serverclient.send_msg("msg")#send message to another client with name (!USER name - must be at the end)client.send_msg("msg !USER name")#send fileclient.send_file("current file","filename for server")#send data (lists, classes, functions, etc.)client.send_data(data)#stop clientclient.stop_client()
Package: interlin-q
Interlin-qThis is a distributed quantum-enabled simulator which imitates the master-slave centralised-control distributed quantum computing system with interconnect communication between the nodes. Using this simulator, one can input any monolithic circuit as well as a distributed quantum computing topology and see the execution of the distributed algorithm happening in real time. The simulator maps the monolithic circuit to a distributed quantum computing achitecture and uses a master-slave relation with a centralized controller communicating to computing nodes in the network. Interlin-q can be used for designing and analysing novel distributed quantum algorithms for various distributed quantum computing architectures.The method used to accomplish this is based on the following paper:Distributed Quantum Computing and Network Control for Accelerated VQE
Stephen DiAdamo, Marco Ghibaudi, James Cruise (10.1109/TQE.2021.3057908)