Saravanan666/pypi-org huggingface dataset:
Package: art-training
ART - Actually Robust Training frameworkARTis a framework that teaches and keeps an eye on good practices when training deep neural networks. It is inspired by ablog post by Andrej Karpathy “A Recipe for Training Neural Networks”. The framework teaches the user how to properly train DNNs by encouraging the user to use built-in mechanisms that ensure the correctness and robustness of the pipeline using easily usable steps. It allows users not only to learn but also to use it in their future projects to speed up model development.Table of contents:ART - Actually Robust Training frameworkInstallationProject creationDashboardTutorialsRequired knowledgeContributingInstallationTo get started, install ART package using:pipinstallart-trainingProject creationTo use most of art's features we encourage you to create a new folder for your project using the CLI tool:python-mart.clicreate-projectmy_project_nameThis will create a new foldermy_projectwith a basic structure for your project. To learn more about ART we encourage you to read ourdocumentation, and check ourtutorials!DashboardAfter you run some steps you can see compare their execution in the dashboard. To use the dashboard, firstly install required dependencies:pipinstallart-training[dashboard]and run this command in the directory of your project (directory with folder called art_checkpoints).python-mart.clirun-dashboardOptionally you can use --experiment-folder switch to pass path to the folder. For more info, use --help switch.TutorialsA showcase of ART's features. To check it out type:python-mart.cliget-startedand launch tutorial.ipynbAfter running all cells run dashboard withpython-mart.clirun-dashboardA tutorial showing how to use ART for transfer learning in an NLP task.python-mart.clibert-transfer-learning-tutorialRequired knowledgeIn order to use ART, you should have a basic knowledge of:Python - you can find many tutorials online, e.g.hereBasic knowledge of machine learning & neural networks - you can find many tutorials online, e.g.herePyTorch - you can find many tutorials online, e.g.herePyTorch Lightning - you can find many tutorials online, e.g.hereContributingWe welcome contributions to ART! Please check out ourcontributing guide
Package: arturo-stac-api
arturo-stac-apiDocumentation: coming soon...Source Code:https://github.com/arturo-ai/arturo-stac-apiPython library for building and customizing a STAC compliant API:pip install arturo-stac-apiUsage# my_app.pyfromstac_api.configimportApiSettingsfromstac_api.apiimportcreate_appsettings=ApiSettings()app=create_app(settings)$uvicornmy_app:app--reloadProject Structure.
├── alembic             # Database migrations
│   └── versions        # Migration versions
├── scripts             # Scripts for local development
├── stac_api
│   ├── api             # API layer
│   ├── clients
│   │   ├── postgres    # Postgres CRUD client
│   │   └── tiles       # OGC Tiles API client
│   ├── models          # Pydantic and ORM models
│   └── utils           # Helper functions
└── tests
    ├── api             # Test api creation
    ├── clients         # Test application logic
    └── resources       # Test api endpointsLocal DevelopmentUse docker-compose to deploy the application, migrate the database, and ingest some example data:docker-composebuild
docker-composeupFor local development it is often more convenient to run the application outside of docker-compose:makedocker-runTestingThe database container provided by the docker-compose stack must be running.  Run all tests:maketestRun individual tests by running pytest within the docker container:makedocker-shell
$pytest-v
Package: artur-tancredo-alvarenga-puc-csv-converter
Conversão de arquivos:.CSV para JSON.JSON para CSV.IntroduçãoEsse é um trabalho proposta na disciplina de Python da Pós Graduação da PUC-MG, cujo objetivo é usar o PATH para a conversão de arquivos de CSV para JSON e/ou JSON para CSV.O que o projeto faz ?Ler um arquivo deCSVouJSONe até mesmo, ler uma pasta com arquivos deCSVouJSON, cujo objetivo é converterCSV-JSONouJSON-CSV. Este projeto é um programa de execução no terminal, de preferÊncia instalado compipx:pipxinstallartur_tancredo_alvarenga_puc_csv_converterPara usar, basta digitar:Converter CSV para JSONconverter_CSV_JSON--helpConverter JSON para CSVconverter_JSON_CSV--helpIsso listará todas as opções disponíveis.
Package: artus
Predict geospatial data with artificial intelligenceArtus is a python package to automatically produce maps thanks to deep learning models. With artus, you can train deep learning learning models (neural network)
on raster images annotated with vector files. You can then use the trained model to predict spatial occurrences on new unlabeled rasters. Predictions can be exported to a GeoJson format and uploaded in your favourite GIS software.To handle large raster file, artus provides a way to tile raster into smaller tiles according to different cutting grids.Artus has already been implemented in three use cases using 3 differents inputs data : satellite images to detect gillnets vessels, orthomosaics to detect corals
species and under water images marked with a georeferenced point to detect marine species.For example, the following map is generated by automatically detecting dead corals on images associated with a single GPS point:This project is being developed as part of the G2OI project, cofinanced by the European union, the Reunion region, and the French Republic.InstallationAll the installation procedures are available here :install artusTutorialsIf you want to get started with artus you can follow thenotebooks. Depending on you requirements, you will find tutorials to train
a new deep learning model, to predict an unlabeled raster or to convert different annotations files (COCO, geojson...).DocumentationDocumentation is available onRead the docs
Package: arubaapi
ArubaAPILogs into the web UI of an Aruba Controller and issues arbitrary CLI show commands.  This was created to alleviate the pain of screen-scraping ArubaOS output, especially tables.The HTTP API used is the one that the web GUI uses to gather data.  It's not terribly consistent and probably isn't guaranteed between AOS versions.  Submit an issue or pull request if you see issues with the data you're receiving.There are three types of data output from the HTTP API:Table data - Key is name of the table.  Value is list of {key: value} dicts.Named data - Generally a key-value pair but not always.  In the case of duplicate names, the value is a list of all values seen.Anonymous data - Auxiallary data output.  Generally unstructured lines like flag legends.  Stored under the 'data' key as a list.Config commands appear to be able to be sent through this same interface one at a time.  You will receive no data back from performing a config command, but it's important to note that an invalid command will also receive no data back.  It's probably a good idea to double-check that the config change stayed with a subsequent show command.NotesIt really doesn't likeshow running-config.  It will just hang and return no data.Sessions will not be deleted unlessclose()is called or thewithstatement is used.Invalid commands return an HTTP 200 with no data, so there's currently no way to detect them.Useshow user-tableinstead ofshow userto avoid parser issues due to a non-xml string being in the response of the latter.Exampleimportarubaapifrompprintimportpprintconnection=arubaapi.ArubaAPI('aruba-master.example.com','username','password')data=connection.cli('show ap database local')connection.close()pprint(data,120)Output:{'data': ['Flags: U = Unprovisioned; N = Duplicate name; G = No such group; L = Unlicensed',
          '       I = Inactive; D = Dirty or no config; E = Regulatory Domain Mismatch',
          '       X = Maintenance Mode; P = PPPoE AP; B = Built-in AP; s = LACP striping',
          '       R = Remote AP; R- = Remote AP requires Auth; C = Cellular RAP;',
          '       c = CERT-based RAP; 1 = 802.1x authenticated AP; 2 = Using IKE version 2',
          '       u = Custom-Cert RAP; S = Standby-mode AP; J = USB cert at AP',
          '       i = Indoor; o = Outdoor',
          '       M = Mesh node; Y = Mesh Recovery'],
 'Total APs': '2',
 'AP Database': [{'AP Type': '135',
                  'Flags': None,
                  'Group': 'AP Group 1',
                  'IP Address': '10.0.0.12',
                  'Name': 'AP 1',
                  'Standby IP': '0.0.0.0',
                  'Status': 'Down',
                  'Switch IP': '10.0.0.10'},
                 {'AP Type': '277',
                  'Flags': None,
                  'Group': 'AP Group 1',
                  'IP Address': '10.0.0.99',
                  'Name': 'AP 2',
                  'Standby IP': '0.0.0.0',
                  'Status': 'Up 43d:0h:23m:54s',
                  'Switch IP': '10.0.0.10'}]}
Package: arubabankapi
Aruba Bank API ClientUnofficial API client for Aruba Bank Online written in Python.It's still in early development. At the moment it can login and retrieve transactions of any bank account within yourdefault portfolioand save this to a json or csv file. You will need to have an existing account with Aruba Bank, and have signed up for the *NewAruba Bank App as you need the App to generate your one-time password.APIThis API was reverse engineered from the Aruba Bank website and mobile app. It's not an official API so it can change at any time. It's more of a way to show that it is possible for local Aruban banks to make an API and to show that there is a growing demand for local banks to offer an official API to their clients.Use CasesSome of the use cases:Automate booking bank transactions into existing accounting programs (ex. QuickBooks) to improve efficiency and reduce human error.Aid in developing financial apps to track expenses and help with budgeting.Facilitate E-Commerce on the island. With an official API, bank transfers can be confirmed without user intervention and almost instantly.Getting StartedRun the following commands to set up a new virtualenv and run the Aruba Bank API in Linux:# Clone the git repogitclonehttps://github.com/orson1282/arubabank_api# CD into the repocdarubabank_api# Create a virtual environmentpython3-mvenvvenv# Activate the virtual environmentsourcevenv/bin/activate# Install the dependenciessudopython3setup.pyinstallUsageEvery time you run this script you'll need to generate a new password with the *NewAruba Bank Mobile App.# retreive all transactions between May 1 and May 31 from bank account number 9876540190# from the default portfoliopython3-marubabank-ujcroes-p123456-ocsv-b9876540190-f2021-05-01-t2021-05-31You can also just import the module into your own application using:fromarubabankimportArubaBankAPI--more usage examples coming soon--ContributingContributions are verywelcomeand will be fully credited. Please contribute via Pull Request onGithub.DisclaimerThis is just a personal project that I decided to share to see what the demand out there is like. It's purely for educational purposes. I'm not affiliated with Aruba Bank and this project is not sponsored or supported by Aruba Bank. I can only hope that this project is an eye opener for all the local banks so they decide to make it possible for local developers / businesses to get access to an official API. If you do use this project please share your experience.To Do ListGet transactions of accounts located in other portfolios
Package: arubaos-client
arubaos_clientInstall it viapipinstallarubaos_clientUsagefromarubaos_clientimportMobilityControllerAPIClientaruba=MobilityControllerAPIClient(username='',password='',url='https://aruba-ac.example.com:4343',proxy="socks5h://localhost:5050",verify=False)# Login to the devicearuba.login()# Logoutaruba.logout()# Get a List of APsaruba.aps()# Get amount of 2g clientsaruba.clients(band='2g')aruba.clients_2g()# Get amount of 5g clientsaruba.clients(band='5g')aruba.clients_5g()# Get AP by its MAC addressaruba.ap_by_mac("00:00:00:00:00:00")# Get AP by its namearuba.ap('ap_name')# Get CPU loadaruba.cpu_load()# Get Memory usagearuba.memory_usage()
Package: aruco
python-arucoSWIGgenerated Python wrappers for ArUco library.
Works with OpenCV Python module cv2 resp. numpy array data types.Tested on Linux Mint 19 x86_64, OpenCV 4.1.0, ArUco 3.1.12 Python 3.6.9 and NumPy 1.18.0Installation via pipInstall / compileOpenCVwith Python2 supportInstall / compileArUco 3.1.12runpip3 install arucoInstallation Python3 via CMakeInstall / compileOpenCVwith Python2 supportInstall / compileArUco 3.1.12Install swig3:sudo apt-get install swig3.0for Debian/Ubuntu like systems. On 14.04 and other older systems you will need to go to "Software Sources" and check backports in the Updates tab, and reload before installing.Install NumPypip3 install numpy(maybe you already need it for OpenCV Python support) or install via system package manager.Build the Python wrapper:Create a new directorybuildin this project:mkdir build && cd buildRun CMake to configure the project:cmake ..Run make to build the wrappers:makeThe built package is now located inpython/dist/, you can install it via pip:pip3 install python/dist/*.whlTestexample videoopen a prompt inexample/and run:python ./example.pyorpython3 ./example.pyfractal marker exampleopen a prompt inexample/and run:python ./fractal.pyorpython3 ./fractal.pyIf the Python doesn't find some shared objects, add the library location to LD_LIBRARY_PATH:export LD_LIBRARY_PATH=/usr/local/lib/:$LD_LIBRARY_PATHProblemsI just tested some basic functions withexample/example.py/example/fractal.py.
Please report errors and problems.Some return value templates likestd::vector<Point3f>don't work yet (e.g. formarker.get3DPoints())ThanksThanks toMizuxfor the greatcmake-swigexample project
Package: arulesviz
Association rules visualisation with PythonPython-arulesviz is a port of an incredible R's libraryarulesviz. If familiar with R I would highly recommend to try it.Python-arulesviz works as a jupyter-notebook widget (Video (30mb)):Install:pipinstallarulesvizUsage:g=Arulesviz(transactions,0.001,0.3,12,products_to_drop=[])g.create_rules()g.plot_graph(width=1800,directed=False,charge=-150,link_distance=20)Detailed examples
Package: aru-metadata-parser
aru_metadata_parserParse audio file metadata from common ARUs including the AudioMothThis package aims to provide support for parsing metadata from common ARU (autonomous recording unit) audio files. Currently, AudioMoth metadata from firmware versions up to 0.8.1 are supported.Please use Issues to report failures in metadata parsing, and to request parsing for other metadata formats.
rInstallation:The package is available on PyPI and can be installed with PIP:pip install aru_metadata_parserContribution:We use Poetry for development, withblackformatting andpytesttesting. Contributions to the code base are welcome.License and attribution:This package is provided under the MIT Open-source license.Suggested citation:Lapp, Syunkova, and Kitzes, 2023. ARU Metadata Parser v0.1.0. github.com/kitzeslab/aru_metadata_parser.
Package: arun-cassandra-driver
A modern,feature-richand highly-tunable Python client library for Apache Cassandra (2.1+) using exclusively Cassandra’s binary protocol and Cassandra Query Language v3.The driver supports Python 2.7, 3.3, 3.4, 3.5, and 3.6.If you require compatibility with DataStax Enterprise, use theDataStax Enterprise Python Driver.Note:DataStax products do not support big-endian systems.Feedback RequestedHelp us focus our efforts!Provide your input on thePlatform and Runtime Survey(we kept it short).FeaturesSynchronousandAsynchronousAPIsSimple, Prepared, and Batch statementsAsynchronous IO, parallel execution, request pipeliningConnection poolingAutomatic node discoveryAutomatic reconnectionConfigurableload balancingandretry policiesConcurrent execution utilitiesObject mapperInstallationInstallation through pip is recommended:$ pip install cassandra-driverFor more complete installation instructions, see theinstallation guide.DocumentationThe documentation can be found onlinehere.A couple of links for getting up to speed:InstallationGetting started guideAPI docsPerformance tipsObject Mappercqlengine (originally developed by Blake Eggleston and Jon Haddad, with contributions from the
community) is now maintained as an integral part of this package. Refer todocumentation here.ContributingSeeCONTRIBUTING.md.Reporting ProblemsPlease report any bugs and make any feature requests on theJIRAissue tracker.If you would like to contribute, please feel free to open a pull request.Getting HelpYour best options for getting help with the driver are themailing listand the#datastax-driverschannel in theDataStax Academy Slack.LicenseCopyright 2013-2017 DataStaxLicensed 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 athttp://www.apache.org/licenses/LICENSE-2.0Unless 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.
Package: arundeckrun
arundeckrun===========|codecov.io||wercker status|A fork of the client library written in Python to interact with theRundeck API, the majority of which was created by Mark LaPerriere.The fork exists mostly because the environment Antillion use it requiresit to be hosted on pypi, so updates must be pushed quickly. In addition,the requirement to run tests against a live Rundeck is a no-no.Rundeck (API) version compatibility:Some calls are under active use/development, primarily:-  Job imports: API v1+-  Project archive imports: API v14+All other calls *should* work correctly as long as they are notdeprecated or if Rundeck fail to correctly implement backwardscompatibility.Target python version: 2.7 Should work (but not tested aagainst): 3Installation============pip install arundeckrunUse---::>>> from rundeck.client import Rundeck>>> rd = Rundeck('rundeck.server.com', api_token='SECRET_API_TOKEN')>>> rd.list_projects()[{'description': None,'name': 'TestProject','resources': {'providerURL': 'http://localhost:8000/resources.xml'},}]>>> rd.list_jobs('TestProject')[{'description': 'Hello World!','group': None,'id': 'a6e1e0f7-ad32-4b93-ba2c-9387be06a146','name': 'HelloWorld','project': 'TestProject'}]>>> rd.run_job('a6e1e0f7-ad32-4b93-ba2c-9387be06a146', argString={'from':'arundeckrun'}){'argstring': '-from arundeckrun','date-started': datetime.datetime(2013, 7, 11, 18, 4, 24),'description': 'Plugin[localexec, nodeStep: true]','href': 'http://rundeck.server.com/execution/follow/123','id': '123','job': None,'status': 'running','user': 'arundeckrun'}Tests=====Unit tests----------Unit tests are performed via tox.To install tox and then run the tests:::pip install toxtoxIntegration tests-----------------*Note:* currently the integrations are not up-to-date and are not undercontinous integration. Soon though…Running the tests requires a running Rundeck server (the Rundeckstandalone jar works well) and an API token for said Rundeck server.You’ll have to at least set the API token environment variable of``RUNDECK_API_TOKEN`` but there are other environment variables to beaware of. The list is below and can be found at the head of thetests/\_\_init\_\_.py file. They should be fairly self-explanatory (OK,RUNDECK\_PROTOCOL might not be self-explanatory… use either ‘http’ or‘https’ there)... code-block:: bash::RUNDECK_API_TOKENRUNDECK_SERVERRUNDECK_PORTRUNDECK_PROTOCOLNext clone the repo... code-block:: bash::git clone https://github.com/marklap/arundeckrun.. note:: act.. |codecov.io| image:: https://codecov.io/github/Antillion/rundeckrun/coverage.svg?branch=master:target: https://codecov.io/github/Antillion/rundeckrun?branch=master.. |wercker status| image:: https://app.wercker.com/status/57e663b27aba00b9b7aabe4ea7b8208a/m/master:target: https://app.wercker.com/project/bykey/57e663b27aba00b9b7aabe4ea7b8208a
Package: arunwagle-bizai-framework
Utils  PackageThis is a simple example package. You can useGithub-flavored Markdownto write your content.For docssphinx-quickstart doc
sphinx-build -b doctest doc/source doc/buildvi ~/.pypirc
python setup.py register -r testpypipip install sphinx
pip install entry_point_inspector
pip install coverage
pip install mock
pip3 install ceilometer
pip3 install testrepositoryFor unit testsnosetests -v
nosetests --with-coverage
nosetests --cover-package=ceilometer --with-coverage --cover-html tests/test_pipeline.py
python setup.py testr --coverageGerrit Code ReviewZuul is a program that drives continuous integration, delivery, and deployment systemshttps://zuul-ci.org/docs/zuul/https://travis-ci.orgIf you are using the popular GitHub hosting service, Travis CI provides a wa⁴ to run a test ater each push or merge or against pull requests that are submitted.python -m cProfile myscript.py
Package: arus
OverviewARUSpython package provides a computational and experimental framework to manage and process sensory data or wireless devices, to develop and run activity recognition algorithms on the data, and to create interactive programs using the algorithms and wireless devices.This package is licensed underGPL version 3.Prerequistspython>=3.7.0# Need these SDKs to install arus[metawear] on Windows.VisualStudioC++SDK(v14.1)WindowsSDK(10.0.16299.0)WindowsSDK(10.0.17763.0)# Need these packages to install arus[metawear] on Ubuntu or equivalent packages on other linux distributions.libbluetooth-dev
libboost-all-dev
bluezInstallation>pipinstallarus# Optionally, you may install plugins via pip extra syntax.>pipinstallarus[metawear]>pipinstallarus[demo]>pipinstallarus[dev]>pipinstallarus[nn]Optional componentsarus[metawear]: This optional component installs dependency supports for streaming data from Bluetooth metawear sensors.arus[demo]: This optional component installs dependency supports for running the demo app that demonstrates a real-time interactive activity recognition training and testing program.arus[dev]: These optional component installs dependency supports for running some package and version management functions in thearus.devmodule.arus[nn]: The optional component installs dependency supports for PyTorch and Tensorboard, which are required byarus.models.reportmodule. Note that for Windows, you should install thetorchpackage manually usingpipfollowing thepytorch.orginstruction.Get started for development>gitclonehttps://github.com/qutang/arus.git
>cdarus
># Install poetry python package management tool https://python-poetry.org/docs/># On Linux>curl-sSLhttps://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py|python
># On windows powershell>(Invoke-WebRequest-Urihttps://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py-UseBasicParsing).Content|python
># Install package dependencies>poetryinstall
># Install optional component dependencies>poetryinstall--extras"metawear demo dev nn"># Run unit tests>poetryrunpython-mpytestDevelopment conventionsUse Google's python coding guidance:http://google.github.io/styleguide/pyguide.html.Usearus package release VERSION --releaseto bump and tag versions.VERSIONcan be manual version code following semantic versioning,path,minor, ormajor.Changelogs are automatically generated when building the documentation website, do not create it manually.Pypi release will be handled by github actiondeploy.yml, which will be triggered whenever a new tag is pushed. Therefore, developers should only tag release versions.After commits, even not bumping and releasing the package, you may runarus package docs --releaseto update the documentation website, where the developer version changelogs will be updated immediately.
Package: arushigupta-101703106-missing1
This is a package to handle missing value in a pd dataframe.
You have to run python file as:
python file.py inputfile.csv output file.csv n,n,c,n
where last argument n,n,nc,n represents type of feature
that is is it numerical feature or categorical feature,
if you want to correctly get rrsults without any errors please
follow instructions.