Saravanan666/pypi-org huggingface dataset:
Package: irflowservice
OverviewThe Syncurity IR-Flow DXL Python service exposes access to interact with
IR-Flow via the DXL fabric.The purpose of this service is to allow users to invoke IR-Flow remote commands via the DXL fabric.A single IR-Flow service can connect to a single IR-Flow instance to provide access to the remote API endpoints exposed by IR-Flow.DXL clients can invoke ePO remote commands by sending DXL request messages via the DXL fabric. The IR-Flow DXL service handles incoming request messages and forwards them to the appropriate ePO server via secure HTTP. Responses received from the IR-Flow server are packaged by the IR-Flow DXL service as DXL response messages and sent back to the invoking DXL client.DocumentationTODO: Provide documentation informationBugs and FeedbackOpen an IssueLICENSECopyright 2018TODO: Provide license information
Package: irgen
This module support conversion and generation of IR formatsStatusInput FormatsNecSeveral NEC variants are supported:
nec1,nec1-y1,nec1-y2,nec1-y3,nec1-f16,nec2,nec2-y1,
nec2-y2,nec2-y3,nec2-f16,necx1,necx1-y1,necx1-y2,
necx1-y3,necx1-f16,necx2,necx2-y1,necx2-y2,necx2-y3,necx2-f16irgen-inec1-d1600-orawPhilips RC-5 Protocolirgen-irc5-d16-10-orawPhilips RC-6 Protocolirgen-irc6-d16-10-orawRCA RCA-38 Protocolirgen-irca38-d15-10-orawRawRaw times, positive meaning on negative meaning off.irgen-iraw-d+889.0-889.0+1778.0-1778.0+1778.0-889.0+889.0-889.0+889.0-889.0+889.0-889.0+889.0-889.0+889.0-889.0+889.0-889.0+889.0-889.0+889.0-1778.0+889.0-88900.0-oprontoBroadlinkirgen-ibroadlink_base64-dJgAcAB0dOjo6HR0dHR0dHR0dHR0dHR0dHTodAAtnDQUAAAAAAAAAAAAAAAA=-oprontoOutput FormatsRawRaw times, positive meaning on negative meaning off.ProntoPronto IR formatBroadlinkBroadlink binary format for their IR transmitters.
Two variantsbroadlinkandbroadlink_base64with
the latter being base64 encoded.irgen-irc5-d16-10-obroadlinkirgen-irc5-d16-10-obroadlink_base64ConsoleThe module contains a commandline utility to test and request data from
calledirgen.LibraryThe module contains a library with functions for generation of ir codes
Package: irholiday
irholidayInstallation$ pip install irholidayto install from the latest source use following command$ pip install git+git://github.com/hadi-gharibi/irholiday.gitUsageEnter the start and end year!that’s all :DfromirholidayimportirHoliday# initialise the classcalendar=irHoliday()# export data to dataframedf=calendar.to_df(1388,1392)# export data to csvcalendar.to_csv(1388,1392,'path/to/data')History0.1.8 (2011-06-21)Fix the request bug that returns just a month from time.irFix the bug for duplicate holiday dates (ex: 13th Farvardin)Use jdatetime as date convertor which is more updated0.1.0 (2018-06-06)First release on PyPI.
Package: iri2016
IRI2016 ionosphere model from Python and MatlabPython andMatlabinterfaces to the International Reference Ionosphere (IRI) 2016 model.
A Fortran compiler is required to build the IRI2016 code.InstallPrerequisitesFortran compiler--any modern Fortran compiler will do. Here's how to get Gfortran:Linux:apt install gfortranMac:brew install gccWindows: considerMSYS2and then install latest release:pipinstalliri2016if you want the latest development version:gitclonehttps://github.com/space-physics/iri2016

pipinstall-eiri2016This Python wrapper of IRI2016 uses our build-on-run technique.
On the first run oriri2016.IRI()the Fortran code is built--we call this "build on run".If you have errors about building on the first run, ensure that your Fortran compiler is specified in environment variable FC--this is what most build systems use to indicate the desired Fortran compiler (name or full path).Manual buildThis should not be necessary, but is included for troubleshooting purposes.
This assumess you have a local copy of IRI2016 like:gitclonehttps://github.com/space-physics/iri2016

ctest-Siri2016/src/iri2016/setup.cmake-VVUsageAltitude Profile: plot density and temperatures vs altitudepython-miri2016.altitude2003-11-21T12-11.95-76.77Latitude profile: plot densities and height at the peak of F2, F2, and E regions vs geographic latitudepython-miri2016.latitude2004-11-21T17-76.77Time profile: plot densities and height at the peak of F2, F2, and E regions vs UTCpython-miri2016.time2014-11-212014-11-221-11.95-76.77Latitude vs Longitude: plot of foF2 a function of geographic latitude and longitudesetting JF flagsirisub.forhas a few dozen logical flags stored in variable JF. To reconfigure those flags, editiri2016_driver.f90and recompile iri2016_driver.exe.MatlabIRI2016 is readily accessible from Matlab.
From within Matlab verify everything is working by:runtests('iri2016')TheExamplesdirectory has simple example use with plots.Data filesiri2016/iri2016/data/index/{apf107,ig_rz}.datareregularly updated.
Currently we don't auto-update those.Notes2016 presentation
Package: iri90
IRI90: International reference ionosphere in PythonIRI-90 providesmonthly mean valuesfor magnetically quiet
conditions at non-auroral latitudes in thealtitude range 50km to
2000km.However, IRI90 is often used as an initialization for conditions at
auroral latitudes, understanding the caveats.Installpipinstalliri90or for the latest development version:python-mpipinstall-e.UsageThis IRI90 Python module is as small and clean as possible to enable your custom IRI90 applications.importiri90iono=iri90.runiri(dtime,altkm,latlon,f107,f107s,ap=p.ap)ionois an xarray.DataArray indexable by species, altitude, etc. and includes metadata.Altitude profiledensity and temperature:pythonAltitudeProfile.pyNotesOptional: If you want to work with just the original Fortran code:cdbin
cmake../src
cmake--build.ReferencesFortran Code
Package: iribaker
Replaces invalid charactes with an underscore (i.e. does not support roundtripping).
Falls back to standard URL percent encoding.
Home-page:http://github.com/clariah/iribakerAuthor: Rinke Hoekstra (VU University Amsterdam/University of Amsterdam)
Author-email:rinke.hoekstra@vu.nlLicense: MIT
Description: UNKNOWN
Platform: UNKNOWN
Package: iricore
iricoreA Python interface to IRI-2016 and IRI-2020 usingctypescommunication.The extensive documentation is available at theRTD wbsite.InstallationThis package proved to work under Linux only (due to compilation difficulties in Windows).
If you are using Windows - consider installingWSL.PrerequisitesCMAKEsudo apt instal cmakeFortran compiler, e.g.gfortransudo apt isntall gfortranInstalling packageNow you can simply install it viapip:python3 -m pip install iricoreData filesIRI2016model depends ondata fileswhich are regularly updated.iricoredoes not autoupdate those, but provides tool for quick update. You can run from terminalpython3 -c "import iricore; iricore.update()"or addimport iricore
iricore.update()to any Python script.
Package: iridauploader
IRIDA UploaderDownload / InstallationThe IRIDA Uploader is available viapipandbiocondaInstallation instructions can be found in our documentation.ReadTheDocsTutorialYou can find a walkthrough and tutorial on the phac-nml githubhttps://github.com/phac-nml/irida-uploader-tutorialRunning the project from source codeYou can build an environment and run the uploader from source code with the following commands:$ make
$ source .virtualenv/bin/activate
$ irida-uploader --helpYou can also build and run the GUI with:$ make gui
$ source .virtualenv/bin/activate
$ irida-uploader-guiCreating the Windows installer from source codeA new windows installer can be built on linux, so first see the installation instructions for installing on linux in our documentation.You will also neednsisinstalled to create the windows installer.$ sudo apt install nsisThen run the command:$ make windowsThis will create a new installer in the folderbuild/nsis/with a name similar toIRIDA_Uploader_GUI_0.X.X.exeRunning TestsUnit testsRunning the unittests can be done with the command:$ make unittestsIntegration testsTo run integration tests You will need to download and install chromedriverhttp://chromedriver.chromium.org/downloadsYou will need to grant the IRIDA instance access to the mysql database needed for the tests$ mysql -e "CREATE USER 'test'@'localhost' IDENTIFIED BY 'test'; GRANT ALL ON irida_uploader_test.* to 'test'@'localhost';"Running the IRIDA integration tests can be done with the command:$ make integrationtests branch=<IRIDA github branch to test against>Example:$ make integrationtests branch=developmentTests will be logged to~/.cache/irida_uploader_test/log/irida-uploader.logPEP8 testsYou can run pep8 tests with:$ make pep8Test CoverageYou can run the entire test suite and generate a coverage report with the following command:$ make coverageTo view the detailed report, open the generatedhtmlcov/index.htmlwith your web browser.DocumentationYou canReadTheDocshere.Alternatively, documentation is built locally usingmkdocs.It can be built with the command:$ make docsOr you can install mkdocs to your system:$ sudo apt install mkdocs
$ mkdocs buildHTML docs will be generated tosite/for local browsing
Package: iridi
BasicsInstall:pip install iridiUsage:importiridi# Print gradient text# iridi.print(message, colors, options)# Ask for input with gradient text:# iridi.input(message, colors, options)# Get output of gradient text:# beautiful_message = iridi.beautify(message, colors, options)iridi.print("This is an example message. Colorful, huh?",["#8A2387","#E94057","#F27121"],bold=True)response=iridi.input("What's your favorite color?",["#8A2387","#E94057","#F27121"])print(response)The above should result in this:PresetsThere are included presets when importing the module, access them by doingiridi.presets.[name]. Example:importiridiiridi.presets.wiretap.print("Nice preset!")If you'd like to contribute or add official preset gradients to this project, feel free to fork this and make a PR!Make your own presets:Iridi comes with the ability to create your own gradients and reuse them.gradient=iridi.preset(["#D3959B","#BFE6BA"])gradient.print("Testing with preset constructors.",bold=True)response=gradient.input("Test an input: ")print(response)Output:Options:The array can be an array of hex strings, or objects with r, g, and b values. This...# This works:iridi.print("Try it with RGB objects next!",["#7350b3","#2ebf91"])# So does this:iridi.print("Try it with hex values if you haven't!",[{"r":250,"g":0,"b":100},{"r":60,"g":255,"b":0}])...results in the following:Want the output in bold? No problem, just addbold=Trueas the third argument to the function (shown in examples above).Same goes for italic, just additalic=Trueas the another argument to the function.If you end up using this, or just think it's cool, feel free to :star: this repo, it means a lot :)
Package: iridiumSBD
Iridium SBD communicationCommunication system for Iridium Short Burst Data Service.A python package to handle direct IP communications with Iridium gateway.The goal here is to organize it as a standalone Python package with the objective to communicate binary data with Iridium Gateway. It does not try to understand the data being transmitted/received, but that task should be done by another resource. As a python package it is easier to install and update on different machines. With a small and specific objective it is easier to write tests and maintain it.This is part of a bigger project for IDG communication system with remote instruments as Spray and SOLO.History0.0.8 (2018-06-26)Relay MT messages0.0.4 (2017-10-13)Optional external procedure to handle received messages.0.0.2 (2017-08-28)Parse MT messages in any order. Altough it usually comes in the same order, with the payload in the end, there is no restriction in the documentation imposing that.Refactoring the parsing process.Handling inbound (MO) and outbound (MT) DirectIP transmissions.0.0.1 (2017-07-03)Only receiving DirectIP transmissions.Acknowledge to iridium gateway when receive a proper message.Logging.Command line to run server.Class to parse isbd messages.
Package: irimcalculator
# CALCULATORCalculator proceeds the ability to calculate numbers (float), given by user.## MAIN FUNCTIONS:Addition;Subtraction;Multiplication;Division;Take (n) root of a number;Reset memory to 0.0;Start memory with chosen number;Print out the final answer.### Calculator has its own memory and manipulates its starting number 0.0 until it is reseted.
### User can set the starting calculator memory to it’s own value(float) with.#### INSTALATIONInstalling via terminal:pip instal irimcalculatorInstalling via IDE:%pip install irimcalculator
Package: iris
This project is for the Iris Python package on PyPI.Ambiguous ‘iris’ package.
Please use either:illumon-iris- Python integration for Illumon Iris, a time-series databasepip install illumon-irishttps://pypi.python.org/pypi/illumon-irishttps://deephaven.io/SciTools Iris- Python library for analysing and visualising meteorological and oceanographic data setshttp://scitools.org.uk/iris/info.gianlucacosta.iris- A general-purpose library for Pythonpip install info.gianlucacosta.irishttps://pypi.python.org/pypi/info.gianlucacosta.irisirisapi- Iris is a highly configurable and flexible service for paging and messagingpip install irisapihttps://pypi.org/project/irisapi/https://iris.claims/
Package: irisapi
IrisIris core, API, UI and sender service. For third-party integration support, seeiris-relay, a stateless proxy designed to sit at the edge of a production network and allow external traffic to pass through. We also have an Iris mobile app for iOS/Android, at theiris-mobilerepo.Setup databaseremoveONLY_FULL_GROUP_BYfrom MySQL configsql_modeor run mysqld in permisive mode (i.e.--sql_mode='')create mysql schema:mysql -u USER -p < ./db/schema_0.sql(WARNING: This will drop any existing tables)import dummy data:mysql -u USER -p -o iris < ./db/dummy_data.sqldummy_data.sqlcontains the following entities:userdemowith passworddemoteamdemo_teamapplicationAutoalertswith key:a7a9d7657ac8837cd7dfed0b93f4b8b864007724d7fa21422c24f4ff0adb2e49Setup dev environmentcreate & source your virtualenvinstall build dependencies:libssl-dev libxml2-dev libxslt1-dev libsasl2-dev python-dev libldap2-devrunpip install -e '.[dev,kazoo]'edit ./configs/config.dev.yaml to setup database credential and other settingsTo install iris with extra features, you can pass in feature flag with pip:pipinstall-e'.[prometheus]'For list of extra features, please seeextras_requiresetting insetup.py.Run everythingforegostartRun web servermakeserveRun senderiris-senderconfigs/config.dev.yamlTestsRun tests:maketest# all tests, e2e + unitmakee2e# e2e testsmakeunit# unit testsGenerate test coverage reports:makee2e-cov
makeunit-covAdding new pluginscreate the plugin file undersrc/iris/pluginsdireditsrc/iris/plugins/__init__.pyto add plugin module to__all__list
Package: irisclient
.. image:: https://badge.fury.io/py/irisclient.svg:target: https://badge.fury.io/py/irisclient.. image:: https://travis-ci.org/houqp/iris-python-client.svg?branch=master:target: https://travis-ci.org/houqp/iris-python-clientPython client for Iris API==========================Install------.. code-block:: bashpip install irisclientUsage-----.. code-block:: pythonfrom irisclient import IrisClientclient = IrisClient(app='SERVICE_FOO',key='IRIS_API_KEY',api_host='http://localhost:5000')# create an incidentprint client.incident('plan-foo', context={'key-foo': 'abc', 'key-bar': 1})# send an adhoc notificationprint client.notification(role='user', target='alice', priority='urgent', subject='Yo')Test----.. code-block:: bashpip install toxtoxRelease-------.. code-block:: bashpython setup.py sdisttwine upload dist/*
Package: iris-cm-api
Эмулятор сигналов Iris CM Callback APIУстановкаWindows# Создаем папку, открываем в этой папке командную строку (shift + ПКМ)py-mvenvenv
env\Scripts\activate.bat
pipinstall-Uhttps://github.com/timoniq/vkbottle/archive/master.zip
pipinstalliris_cm_apiНастройкаСоздайте файлconfig.ini(скопируйте его из файлаconfig.ini.example), укажите токен группы в полеtokenЗапуск# Открываем в созданной папке командную строку (shift + ПКМ)env\Scripts\activate.bat
py-miris_cm_apiОбновление# Открываем в созданной папке командную строку (shift + ПКМ)env\Scripts\activate.bat
pipinstall-Uhttps://github.com/timoniq/vkbottle/archive/master.zip
pipinstall-Uiris_cm_api
Package: irisflower
========================Irish Flower Classifier========================.. image:: https://travis-ci.org/risan/iris-flower-classifier.svg?branch=master:target: https://travis-ci.org/risan/iris-flower-classifier.. image:: https://coveralls.io/repos/github/risan/iris-flower-classifier/badge.svg?branch=master:target: https://coveralls.io/github/risan/iris-flower-classifier?branch=master.. image:: https://img.shields.io/pypi/v/irisflower.svg:target: https://pypi.python.org/pypi/irisflower/.. image:: https://img.shields.io/pypi/l/irisflower.svg:target: https://pypi.python.org/pypi/irisflower/Simple module for identiying Irish flower species based on it's sepal and petal dimensions.Dependencies------------------------- `SciPy <http://www.scipy.org/>`_- `Scikit Learn <http://scikit-learn.org/>`_Installation------------------------The recomended way to install this module is through `pip <https://pip.pypa.io/>`_... code-block:: bashpip install irisflowerHow To Use------------------------.. code-block:: python# Import IrishFlowerClassifier class.from irisflower.classifier import IrisFlowerClassifier# Create a new instance of IrisFlowerClassifier.iris_flower = IrisFlowerClassifier()# Finaly classify the flower species.print iris_flower.classify(sepal_length=5,sepal_width=3,petal_length=1,petal_width=0.2)Running Test------------------------If you already have `node <https://nose.readthedocs.org/>`_nose installed on your machine, simple run the following command:.. code-block:: bashnosetestsOr you can also run the built in Python unittest command like so:.. code-block:: bashpython -m unittest tests.test_classifierThis is my first attempt to learn machine learning and alsomy first code written in Python! :snake:
Package: irishrail
🚂 irishrail 🇮🇪🚉 Irish Rail live updates in your terminalInstall$ pip install irishrailCommands❯ irishrail --help
Usage: irishrail [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
  live      Train station updates
  stations  List all stations availableBonusUse live command with-foption to update timetable every couple of seconds:❯ irishrail live -f "grand canal dock" 

                  Grand Canal Dock
              Northbound - Southbound
╔══════════════════╤════════╤═════════════╤════════╗
║ Destination      │ Due    │ Destination │ Due    ║
╟──────────────────┼────────┼─────────────┼────────╢
║ Howth            │ 16 min │ Greystones  │ 13 min ║
║ Grand Canal Dock │ 24 min │ Bray        │ 27 min ║
║ Malahide         │ 32 min │ Hazelhatch  │ 28 min ║
║ Howth            │ 49 min │ Greystones  │ 47 min ║
║ Dublin Connolly  │ 62 min │             │        ║
╚══════════════════╧════════╧═════════════╧════════╝
       Updated at: 2022-06-09 22:54:54.443851
                Press CTRL-C to exit
Package: irisml-tasks
irisml-tasksA collection of tasks for irisml framework.Visitirismlfor the detail.tasksassertionThis task throws an exception if the given assertion failed for the input object.branch'If' condition for tasks.calculate_cosine_similarityCalculate cosine similarity between two sets of vectors.download_azure_blobDownload a file from azure blob.get_current_timeGet the current time in seconds from epoch.get_dataset_statsGet statistics of the input dataset.get_dataset_subsetCreate a new dataset with a subset of the input dataset.get_fake_image_classification_datasetCreate a new dataset with fake classification images.get_fake_object_detection_datasetCreate a new dataset with fake object detection examples.get_itemGet an item from a given list.get_secret_from_azure_keyvaultGet a secret string from Azure KeyVault.get_topkGet TopK from a given tensor.join_filepathJoin a given directory path and a filename.load_state_dictLoad a specified file to the input model.print_environment_infoPrint the enviromnent infomation such as GPU, CPU, Memoryrun_parallelRun child tasks in new forked processes.run_sequentialRun child tasks sequentially on the same process.save_fileSave the input binary as a file.save_state_dictSave the state_dict of the input model.search_grid_sequentialGrid search hyperparameters in sequential. Run the child tasks and returns a set of parameters that achieved the best result.upload_azure_blobUpload a file to azure blob.
Package: irisml-tasks-azure-computervision
irisml-tasks-azure-computervisionContributingThis project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visithttps://cla.opensource.microsoft.com.When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.This project has adopted theMicrosoft Open Source Code of Conduct.
For more information see theCode of Conduct FAQor
contactopencode@microsoft.comwith any additional questions or comments.TrademarksThis project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must followMicrosoft's Trademark & Brand Guidelines.
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.
Package: irisml-tasks-azure-customvision
irisml-tasks-azure-customvisionContributingThis project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visithttps://cla.opensource.microsoft.com.When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.This project has adopted theMicrosoft Open Source Code of Conduct.
For more information see theCode of Conduct FAQor
contactopencode@microsoft.comwith any additional questions or comments.TrademarksThis project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must followMicrosoft's Trademark & Brand Guidelines.
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.