Saravanan666/pypi-org huggingface dataset:
Package: healpix
healpixPython and C package for HEALPix discretisation of the sphereThis package implements a lean set of routines for working with the HEALPix
discretisation of the sphere.  It supports NSIDE parameters up to 2^29.The C library is based on thehealpix_barelibrary, which was released under
the 3-clause BSD license, with the following additions:Sub-pixel indexing.Conversions between the UNIQ and RING/NEST pixel indexing schemes.If you are using this code in your research, please consider citing the
original paper in your publications:Gorski et al., 2005, ApJ, 622, 759PythonThe Python package provides functions that deal with the discretisation of the
sphere itself.  It is not meant to be a replacement ofhealpy, and does not
contain things such as functions for the visualisation of maps, or spherical
harmonic transforms.The Python package consists of two modules:The low-levelchealpixmodule, which is a native C extension, and
efficiently vectorises the C library functions over arbitrary numpy array
inputs (including scalars, of course).The high-levelhealpixmodule, which contains a more streamlined interface,
and additional functionality:Random point picking in HEALPix pixels.For a function reference, runpydoc healpix(orpydoc chealpix) locally if
you have the package installed, or see theonline reference.The high-level functions in thehealpixmodule can be used more or less
interchangeably with functions from thehealpypackage.  However, in some
cases, compatibility is sacrificed for consistency.The Python package requires onlynumpy, and can be installed using pip:pip install healpixThe vectorised C functions carefully avoid the creation of temporary arrays,
and therefore have minimal memory overhead:>>>importnumpyasnp,healpix,tracemalloc>>>>>># random vectors with 1G of memory per component (less than a NSIDE=4K map)>>>x,y,z=np.random.randn(3,125_000_000)>>>>>>tracemalloc.start()>>>>>>lon,lat=healpix.vec2ang(x,y,z,lonlat=True)>>>>>>tracemalloc.get_traced_memory()(2000010342,2000013889)# current, peak>>>>>># no memory overhead: only the 2G output arrays were used
Package: healsparse
healsparsePython implementation of sparse HEALPix maps.HealSparseis a sparse implementation ofHEALPixin Python, written for the Rubin
Observatory Legacy Survey of Space and Time Dark Energy Science Collaboration
(DESC).HealSparseis a pure python library that
sits on top ofnumpyandhealpyand is designed to avoid storing
full sky maps in case of partial coverage, including easy reading of sub-maps.
This reduces the overall memory footprint allowing maps to be rendered at
arcsecond resolution while keeping the familiarity and power ofhealpy.HealSparseexpands onhealpyand
straightHEALPixmaps by allowing maps of
different data types, including 32- and 64-bit floats; 8-, 16-, 32-, and 64-bit
integers; "wide bit masks" of arbitrary width (allowing hundreds of bits to be
efficiently and conveniently stored); andnumpyrecord arrays.  Arithmetic operations
between maps are supported, including sum, product, min/max, and and/or/xor
bitwise operations for integer maps.  In addition, there is general support for
anynumpyuniversal function.HealSparsealso includes a simple geometric primitive library, to render
circles and convex polygons.Requirements:healsparserequires to have pre-installed the following packages:numpyhealpyastropyThe following package is optional but recommended for all features:fitsioDocumentation:Read the full documentation athttps://healsparse.readthedocs.io/en/latest/.
Package: health-bsa
Health-BSAA small tool to compute the human body surface area from body weight (kg) and height (cm)Getting startedThe package can be found in the github.pipinstallhealth-bsaFeatureBSAUsage>>>fromhealth_bsaimportcomputebsa>>>bsa(weight=60,height=100)API>>>fromhealth_bsaimportcomputebsa>>>bsa(weight=60,height=100)ContributionAny contributions are welcomeAuthorLam Nguyen
Package: health-calc-pack-py
Health Calc Pack PyHealth Calc Pack Py é uma API para calcular o Índice de Massa Corporal (IMC) e os macronutrientes necessários para um indivíduo de acordo com seu objetivo nutricional.InstalaçãoClone o repositório:
git clonehttps://github.com/Angelo-Diniz/health-calc-pack-pyEntre no diretório do projeto:cd health_calc_pack_pyCrie um ambiente virtual e ative-o (opcional, mas recomendado):python -m venv venvsource venv/bin/activate  # Linux/macOSvenv\Scripts\activate  # WindowsEntre na diretorio /health_calc_pack_pyInstale as dependências:poetry installObs: Certifique-se de que o Poetry esteja instalado. Caso contrário, instale-o seguindo as instruções na documentação oficial:https://python-poetry.org/docs/#installationExecutando localmenteApós instalar as dependências, execute o seguinte comando para iniciar o servidor de desenvolvimento:poetry run python -m health_calc_pack_py.appA API estará disponível emhttp://localhost:5000. Envie requisições HTTP para os endpoints disponíveis para interagir com a aplicação.SwaggerAcesse ohttp://localhost:5000/docs/Testes unitáriospython -m unittest discover testsIsso executará todos os testes unitários definidos na pasta tests e exibirá os resultados.EndpointsA API fornece os seguintes endpoints:/imc: Recebe um JSON contendo altura e peso, e retorna o IMC calculado./macronutrientes: Recebe um JSON contendo peso e objetivo nutricional, e retorna os macronutrientes calculados.
Package: healthcards
py-health-cardsA python library for decoding theSMART health card standard, used for documenting
COVID-19 vaccination history or test results as a QR code as a JWT in a verifiable manner, and is being issued by
several localities (e.g. California, Quebec).Examplerecord="shc:/..."fromhealthcardsimportparserjws_str=parser.decode_qr_to_jws(record)jws=parser.JWS(jws_str)jws.verifiedjws.as_dict()
Package: healthcare-rah0703
health-indicesA unified collection of health indices and health indicators eg bmi,bai,corp index,etcPurpose of the PackageThe purpose of the package is to provide a collection of all health indices in one unified libaryFeaturesCollection of Health IndicesBMIBAICorpulence IndexPiglet IndicesetcCollection of Health IndicatorsMortality rateBirth ratePrevalence RateFertility rateGetting StartedThe package can be found on pypi hence you can install it using pipInstallationpipinstallhealth_indicesUsageUsing the short forms or abbreviated forms of indices>>>fromhealth_indicesimportbmi,bai,>>>bmi(54,1.70)Using the long form of indices>>>fromhealth_indicesimportbodymassindex>>>bodymassindex(54,1.70)Examples>>>fromhealth_indicesimportbmi>>>bmi(54,1.70)BodyMassIndexis=>18.0BMICategory=>UnderweightBodyMassIndexis=>18.018.0>>>a=bmi(54,1.70)BodyMassIndexis=>18.0BMICategory=>UnderweightBodyMassIndexis=>18.0>>>a18.0>>>ContributionContributions are welcome
Notice a bug let us know. ThanksAuthorMain Maintainer: Jesse E.Agbe(JCharis)Jesus Saves @JCharisTech
Package: health-check-helper-thanhnv
Help ToolBefore RunCreat file input as check_port_list.txt :exampleFormat each line : {host},{ports}{host}: host name or ip ex:  10.1.30.41{ports}: could bea list port seperated by space (" ") ex : 82 83or a range({start_number}-{end_number}) ex : 100-200example :10.1.44.16,802010.1.44.16,8020 585 345210.1.44.16,8000-8500check_port_list.txtfile example10.1.30.41,88
10.1.44.16,8020 585
10.1.30.41,50000-56000Runhelp_tool check_ports -i check_port_list.txt -o check_port_result.json -n 100After RunFile result incheck_socket_result.json{"open":{"10.1.30.41":["88","8050","8080-8081"],"10.1.44.16":["8020"],"10.1.44.17":["8020"]},"close":{"10.1.30.41":["50001-51999","52001-56000"]}}Note:key "open" contain host and ports have already openedkey "close" contain host and ports have still closed
Package: healthchecks-decorator
A simple python decorator forhealthchecks.io.FeaturesThehealthchecks-decoratorlibrary provides the following features:🚀Easy to use:Simply decorate your function with@healthcheckto enable health checks.⏲️Execution time measurement:Supports sending/startsignals to measure job execution times.🔥Exception handling:Automatically sends/failuresignals when jobs produce exceptions.🤖Auto-provisioning:Supports automatic provisioning of new health checks by adding?create=1to the ping URL.🌡️Diagnostics information:Send diagnostics information to help diagnose issues.😊Flexible endpoint support:Supports both SaaS and self-hosted endpoints.RequirementsNone - just pure python 🐍.InstallationYou can installHealthchecks DecoratorviapipfromPyPI:$pipinstallhealthchecks-decoratorUsageBasic usagefromhealthchecks_decoratorimporthealthcheck@healthcheck(url="https://hc-ping.com/<uuid1>")defjob():"""Job with a success healthcheck signal when done"""pass@healthcheck(url="https://hc-ping.com/<uuid2>",send_start=True)defjob_with_start():"""Send also a /start signal before starting"""pass@healthcheck(url="https://hc-ping.com/<uuid3>")defjob_with_exception():"""This will produce a /fail signal"""raiseException("I'll be propagated")@healthcheck(url="https://hc-ping.com/<uuid4>",send_diagnostics=True)defjob_with_diagnostics():"""Send the returned value in the POST body.
   The returned value must be a valid input for `urllib.parse.urlencode`.
   Otherwise, nothing will be sent."""return{"temperature":-7}Environment variablesIt is possible to set options through environment variables. Each option has a corresponding environment variable
defined by the option name inupper snake casewith theHEALTHCHECK_prefix.For example, setting:HEALTHCHECK_URL=http://fake-hc.com/uuidHEALTHCHECK_SEND_DIAGNOSTICS=TRUEHEALTHCHECK_SEND_START=1will allow having the most minimalist usage:@healthcheckdefjob():"""Url, send_diagnostics and send_start are grabbed from environment."""passNoteBoolean options will be parsed asTrueif the env var is set to the word ‘true’ (in any case) or ‘1’.
Otherwise, the option is set toFalse.NoteExplicit values take precedence over environment variables.Please see theDocumentationfor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theMIT license,Healthchecks Decoratoris free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.Creditshealthchecks.io.This project was generated from@cjolowicz’sHypermodern Python Cookiecuttertemplate.
Package: healthchecks-io
A python client for healthchecks.io. Supports the management api and ping api.FeaturesSync and Async clients based on HTTPXSupports the management api and the ping apiSupports Healthchecks.io SAAS and self-hosted instancesRequirementshttpxpytzpydanticInstallationYou can installPy Healthchecks.IoviapipfromPyPI:$pipinstallhealthchecks-ioUsagePlease see theUsagefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theMIT license,Py Healthchecks.Iois free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@cjolowicz’sHypermodern Python Cookiecuttertemplate.
Package: healthchecks-wrapper
Simple HealthChecks WrapperContext manager around service provided byhealthchecks.iothat will ping your check URL for both success and failure (includes stack trace).FeaturesZero requirements outside the standard libraryEasily report the status of your python jobsSupports both sync and async jobsGetting startedMake a free account with athealthchecks.ioand create a check. You need to copy the url of the check endpoint.Install the librarypipinstallhealthchecks-wrapperUse it in your codefromhealthchecks_wrapperimportHealthCheckimportasynciovalid_ping_url="https://hc-ping.com/b2b308a5-765c-4136-8d0a-2ff0b906e3ee"# Replace with your job url# Sync jobswithHealthCheck(valid_ping_url):# Do your jobprint("hi")# Async jobs requires a bit more boiler plate codeasyncdefprint_hi():asyncwithHealthCheck(valid_ping_url):# Do your jobawaitasyncio.sleep(1)# Read database asyncprint("hi")defmain():loop=asyncio.get_event_loop()loop.run_until_complete(print_hi())loop.close()main()CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.
Package: healthdes
healthdesDiscrete Event Simulation for health and care pathwaysThis package is in development. There is no documentation and it may cause the universe to explode. Should you install this package and the universe does explode then reset the universe, wait six days for the build process to complete, and a further day for stability testing. Inappropriate rebooting of the universe will not improve your fortune.HealthDES is a library to support the development of discrete event simulations within the health and care sector. It models the flow of patients through a care pathway defined as a series of activities. Each activity requires resources which are provided from the health and care system. The library provides python classes to model patients with particular characteristics which may affect how they are routed through the health and care system. Each care pathway in the system is mapped using a directed acyclic graph with each edge of the graph representing an activity and each node representing a decision point. The decision on which activity to perform next can be determined using patient attributes, activity and resource attributes and availability of subsequent resources.The library provides mechanisms for collating data and exporting them after each simulation run to a pandas dataFrame.
Package: healthgraph-api
healthgraph-api===============About-----Python Client Library for[Health Graph API](http://developer.runkeeper.com/healthgraph).The API can be used for accessing [RunKeeper](http://runkeeper.com) for retrieving,updating, deleting and uploading Fitness Activity and Health Measurement Information.The Health Graph API uses OAuth 2.0 for security. Every application must be registeredwith the [Applications Portal of Health Graph](http://runkeeper.com/partner).Once registered, the application will be assigned a unique client identifier andclient secret for use with the Health Graph API.More detailed and updated information for the project is published in the[Health Graph API Project Web Page](http://aouyar.github.com/healthgraph-api/).For information on other projects you can checkmy [GitHub Personal Page](http://aouyar.github.com)and [GitHub Profile](https://github.com/aouyar).Download--------New versions of the code are be published for downloadat [PyPI - the Python Package Index](http://pypi.python.org/pypi/healthgraph-api)periodically.You can download the latest development version of this code that is hostedat [GitHub](https://github.com/{{ site.user }}/{{ page.prjname }}) eitherin [ZIP](https://github.com/aouyar/healthgraph-api/zipball/master)or [TAR](https://github.com/aouyar/healthgraph-api/tarball/master)format.You can also get the latest development version of the code by cloningthe [Git](http://git-scm.com) repository for the project by running:git clone git://github.com/aouyar/healthgraph-apiInstallation------------The easiest way to install the code is to use [pip](http://www.pip-installer.org/).Install the newest version from [PyPI](http://pypi.python.org/pypi/healthgraph-api):pip install healthgraph-apiInstall the latest development version:pip install git+https://github.com/aouyar/healthgraph-api.git#egg=healthgraph-apiThe other option is to download and uncompress the code manually and execute theincluded _setup.py_ script for installation:./setup.py installLicensing---------_Healthgraph-API_ is copyrighted free software made available under the terms of the_GPL License Version 3_ or later.See the _COPYING_ file that acompanies the code for full licensing information.
Package: health-indicator
health-indicatorReferenceJesse E.Agbe(JCharis)
Jesus Saves @JCharisTechhttps://www.youtube.com/watch?v=ueuLe4PipiIFeaturesCollection of Health IndicesBMIBAICorpulence IndexPiglet IndicesetcCollection of Health IndicatorsMortality rateBirth ratePrevalence RateFertility rateGetting StartedThe package can be found on pypi hence you can install it using pipInstallationpipinstallhealth-indicatorUsageUsing the short forms or abbreviated forms of indices>>>fromhealth_indicatorimportbmi>>>bmi(54,1.70)Using the long form of indices>>>fromhealth_indicatorimportbodymassindex>>>bodymassindex(54,1.70)
Package: health-indices
health-indicesA unified collection of health indices and health indicators eg bmi,bai,corp index,etcPurpose of the PackageThe purpose of the package is to provide a collection of all health indices in one unified libaryFeaturesCollection of Health IndicesBMIBAICorpulence IndexPiglet IndicesetcCollection of Health IndicatorsMortality rateBirth ratePrevalence RateFertility rateGetting StartedThe package can be found on pypi hence you can install it using pipInstallationpipinstallhealth_indicesUsageUsing the short forms or abbreviated forms of indices>>>fromhealth_indicesimportbmi,bai,>>>bmi(54,1.70)Using the long form of indices>>>fromhealth_indicesimportbodymassindex>>>bodymassindex(54,1.70)Examples>>>fromhealth_indicesimportbmi>>>bmi(54,1.70)BodyMassIndexis=>18.0BMICategory=>UnderweightBodyMassIndexis=>18.018.0>>>a=bmi(54,1.70)BodyMassIndexis=>18.0BMICategory=>UnderweightBodyMassIndexis=>18.0>>>a18.0>>>ContributionContributions are welcome
Notice a bug let us know. ThanksAuthorMain Maintainer: Jesse E.Agbe(JCharis)Jesus Saves @JCharisTech
Package: healthkit-to-sqlite
healthkit-to-sqliteConvert an Apple Healthkit export zip to a SQLite databaseHow to install$ pip install healthkit-to-sqliteHow to useFirst you need to export your Apple HealthKit data.On your iPhone, open the "Health" appClick the profile icon in the top rightClick "Export Health Data" at the bottom of that pageSave the resulting file somewhere you can access it, or AirDrop it directly to your laptop.Now you can convert the resultingexport.zipfile to SQLite like so:$ healthkit-to-sqlite export.zip healthkit.dbA progress bar will be displayed. You can disable this using--silent.Importing from HealthKit  [#-------------]    5%  00:01:33You can explore the resulting data usingDatasettelike this:$ datasette healthkit.db
Package: health-menu
health-menu随机搭配健康餐菜单背景虽然各种健康 APP、做菜 APP、买菜 APP 很多，并且都做得很优秀，但对于一个厨盲来说，窜连起来很困难，以下3个痛点始终存在：不知道吃什么每天罗列菜单规划采购支持生成随机菜单并汇总采购清单一日菜单 和 一日采购清单一周菜单 和 一周采购清单一个月菜单（30天）和一个月采购清单如何使用（码农命令行）安装pipinstallhealth-menu一日菜单health-menu-d一周菜单health-menu-w一个月菜单health-menu-m如何使用（浏览器访问）一天的菜单https://will.bowxeon.com/health-menu/day一周的菜单https://will.bowxeon.com/health-menu/week一个月的菜单https://will.bowxeon.com/health-menu/month
Package: health-metaverse
Health MetaverseA virtual 3D world framework for medical and health informatics applicationsInstallationpip install health-metaverseExamplesExample 1: Build a word cloud for Health Metaversefromhealthmetaverse.wordcloudimportHealthWordCloudif__name__=="__main__":hwc=HealthWordCloud(data_path="metaverse-news.txt")hwc.show(save_figure="health_metaverse_wordcloud-small.jpg",figure_dpi=300)Example 2: Build a topic model for Health Metaversefromhealthmetaverse.topicmodelimport*importpicklelist_abstract=pickle.load(open("datasets/virtual reality and health.pickle","rb"))start_to_build_topic_model(list_abstract=list_abstract,MAX_TOPICS=10,MIN_PERC=0.8,export_html=True,need_format=True,save_model=True)The Official Health Metaverse Website ishereLicenseThehealth-metaverseproject is provided byDonghua Chen.
Package: health-records
health-recordsA tool for managing personal health records using plain text. Inspired by the principles of plain text accounting.The main idea is to maintain your own health records in a text file that can be privately stored in your computer and versioned on a private git repository. The included command line tool can query and plot the data.Records can be entered by hand using a text editor or imported from your own account from online services like Apple Health, Withings, Strava, etc. The import process can be automated.Health records can include:body metrics: weight, height, blood pressure, heart ratelab results: blood work, cholesterol levels, glucoseimmunization: flu vaccine doses, covid-19 vaccine dosesmedications, eye glasses prescriptiondiagnostics and conditionsproceduresfitness records: workouts, relative effort, average heart rateSample health records:2020-06-07 08:11:00 r 'import from withings - grp 1'
  body.weight 166.34
  body.fat.mass 21.61
  body.fat.ratio 12.99
  body.fat-free.mass 144.73
  body.muscle.mass 133.07
  body.bone.mass 66.54
  body.water 99.8

2020-06-08 00:00:00 r 'import from withings - grp 4'
  body.heart.rate 76
  body.heart.pwv 5.6Sample command to generate a graph with some health data:phr plot body.weightInstallpip install health-recordsReferencesI'm an active user of the great text-based accounting softwarebeancountby Martin Blais. Some of the ideas inbeancounthave been an inspiration forhealth-records.Copyright and LicenseCopyright (C) 2021 Paco Gómez. All Rights Reserved.This code is distributed under the terms of the "GNU GPLv3 only". SeeLICENSEfile for details.AuthorPaco Gómezcontact@pacogomez.com
Package: health-service
## health_serviceA simple hierarchical models collection to describe Health services facilities and sub-facilities, with optional GIS location support.
Depends on catalpainternational/simple_locations#### ChangelogVersion 1.3.4
- fix HealthFacility children inlining (code was doing something… unrelated that was breaking saves)Version 1.3.3
- quality of life improvents in admin view, add HealthFacility children inlineVersion 1.3.2
- fix MANIFEST.in so that it’ll include templates and other filesVersion 1.3.1
- fix admin interface by removing old code and using django_extensions’ ForeignKeyAutocompleteAdmin if available
- override aforementioned ForeignKeyAutocompleteAdmin template avoid broken and repeated icon in Django 1.11Version 1.3.0
- Compatibility with Django 1.11Version 1.2.1
- Change the related_name for HealthFacility->Area so that it creates a backward relation in the ORM
- Add LICENSE file#### Uploading a new version to PyPiBumpsetup.pyto a new versionCreate a git tag for this version:git tag <version_number>Push the tag to githubgit push origin <version_number>Upload the new version to PyPi:python setup.py sdist upload
Package: healthstream
Intro with some textDocs.Featuress
Some of it’s stand out features are:Healthstream API clientDevelopmentInstall dev requirementsmake install-devFirst install PNPM with Homebrewbrew install pnpmDevelopment for the healthstream package requires flake8 linter to pass. In order to commit and pass CI, install a pre-commit hook for that, you should runpnpm installpnpm installInstallationInstalling with:pipinstall'healthstream'Setup for productionAdd ahealthstream.tomlto project directory, so healthstream can pick-up settings.</code></pre><h3>Setupforlocaldevelopment</h3><p>StartstubbedAPIifnoHealthstreamcredentialsarepresentorfordevelopmentinlocal-mode.</p><prelang="toml"><code>Now start dev servermakedevUsageWrite more about using code in other projectsfromhealthstream.settingsimportload_settings# load configconfig=load_settings('healthstream.toml')Run testsNo tests yetCLI Usage</code></pre>
<h4>GetinformationaboutHealthstreamCLIcommand</h4>
<prelang="shell"><code>healthstreamversionDocumentationOur documentation is onDocs.IdeasIs it any good?Yes.LicenseThe MIT License