Saravanan666/pypi-org huggingface dataset:
Package: aiqterminal
aiqterminal is a an interactive shell for administrating anAppearIQ 8platform.Example: Changing the password of a useradmin@wapr/default> set_organization('games')
admin@wapr/games> user = get(['admin', 'users'], username='stephen.falken')[0]
admin@wapr/games> user['password'] = 'joshua'
admin@wapr/games> updated = put(['admin', 'users'], user)Dependenciesaiqterminal usesaiqpyfor performing HTTP requests.Licenseaiqterminal is licensed under GNU GPL v3.0.
Package: air2neo
air2neoAirtable to Neo4j data ingestorQuickstartfromair2neoimportAir2Neo,MetatableConfiga2n=Air2Neo(airtable_api_key,airtable_base_id,neo4j_uri,neo4j_username,neo4j_password,MetatableConfig(table_name,# "Metatable"# Optionally, you can provide `table`,# which is a pyairtable.Table object.name_col,# "Name",index_for_col,# "IndexFor",constrain_for_col,# "ConstrainFor",node_properties_col,# "NodeProperties",edges_col,# "Edges",node_properties_last_ingested_col,# "nodesLastIngested",edges_last_ingested_col,# "edgesLastIngested",airtable_id_property_in_neo4j,# "_aid" (The name of the property in Neo4j that stores the Airtable ID, defaults to)format_edge_col_name,# "function that formats edge column names. Removes everything after a double-underscore, e.g. IN_INDUSTRY__BANK is renamed to IN_INDUSTRY",airtable_api_key,# "Airtable API key",airtable_base_id,# "Airtable base ID",),)a2n.run()If you have a .env file like so:AIRTABLE_API_KEY=
AIRTABLE_BASE_ID=
AIRTABLE_METATABLE_NAME=        # Optional, defaults to "Metatable"
NEO4J_URI=
NEO4J_USERNAME=
NEO4J_PASSWORD=You just run the following:fromair2neoimportAir2Neoa2n=Air2Neo()a2n.run()Installation$pipinstallair2neoDocumentationTo be implemented. For now, please look at the code docstrings. Sorry about that!
Package: air2phin
Air2phinair2phin is a tool for migrating Airflow DAGs to DolphinScheduler Python API.InstallationFor now, it just for test and without publish to pypi but will be adding in the future.
You could still install locally by yourself.python-mpipinstall--upgradeair2phinQuick StartHere will give a quick example to show how to migrate base on standard input.# Quick test the migrate rule for standard input# Can also add option `--diff` to see the diff detail of this migrateair2phintest"from airflow.operators.bash import BashOperatortest = BashOperator(task_id='test',bash_command='echo 1',)"And you will see the migrated result in the standard output. air2phin can only migrate standard input, it can
also migrate file, directory and even can use in your python code. For more detail, please seeour usage.DocumentationThe documentation host on read the doc and is available athttps://air2phin.readthedocs.io.Support StatementFor now, we support following statement from Airflow's DAG filesDAGBefore MigrationAfter Migrationfrom airflow import DAGfrom pydolphinscheduler.core.process_definition import ProcessDefinitionwith DAG(...) as dag: passwith ProcessDefinition(...) as dag: passOperatorsDummy OperatorBefore MigrationAfter Migrationfrom airflow.operators.dummy_operator import DummyOperatorfrom pydolphinscheduler.tasks.shell import Shellfrom airflow.operators.dummy import DummyOperatorfrom pydolphinscheduler.tasks.shell import Shelldummy = DummyOperator(...)dummy = Shell(..., command="echo 'airflow dummy operator'")Shell OperatorBefore MigrationAfter Migrationfrom airflow.operators.bash import BashOperatorfrom pydolphinscheduler.tasks.shell import Shellbash = BashOperator(...)bash = Shell(...)Spark Sql OperatorBefore MigrationAfter Migrationfrom airflow.operators.spark_sql_operator import SparkSqlOperatorfrom pydolphinscheduler.tasks.sql import Sqlspark = SparkSqlOperator(...)spark = Sql(...)Python OperatorBefore MigrationAfter Migrationfrom airflow.operators.python_operator import PythonOperatorfrom pydolphinscheduler.tasks.python import Pythonpython = PythonOperator(...)python = Python(...)
Package: airavat
airavatarm_templateThis template detects obsolete datasets and connections of Azure Data Factory(ADF) using ARM template.obsolete_datasets: This method detects all the obsolete datasets present in ADF.Input: arm_template_folder_path; Output: Pandas dataframe having one column (Obsolete_Datasets).obsolete_linked_services: This method detects all the obsolete linked services present in ADF.Input: arm_template_folder_path; Output: Pandas dataframe having one column (Obsolete_Linked_Services).
Package: airavata
# Django AiravataBuild status [![Build status](https://jenkins.levitnet.be/buildStatus/icon?job=Polla)](https://jenkins.levitnet.be/buildStatus/icon?job=Polla)Docs [![Docs status](https://readthedocs.org/projects/django-polla/badge/?version=latest)](https://readthedocs.org/projects/django-polla/badge/?version=latest)
PyPi [![PyPI version](https://badge.fury.io/py/airavata.svg)](https://badge.fury.io/py/airavata)Airavata is a mythological white elephant who carries the Hindu god Indra. Airavata has four tusks and seven trunks and is spotless white. [source on Wikipedia](https://en.wikipedia.org/wiki/Airavata).Airavata is also a Django 1.8+ library that allows you to hosts multiple dynamic sites running on a single Django instance/db.I have been using a customized version of [dynamicsites](https://bitbucket.org/uysrc/django-dynamicsites/overview) for a while now. But with the new features from Django 1.7 and 1.8, there exists another simpler, and more pythonesque IMHO, way to achieve the same results. Polla is an attempt at thatotherway.See documentation on [ReadTheDocs](http://django-polla.readthedocs.io/en/latest/)If you are planning on contributing (or are just curious about our values), please take the time to read the [project’s Code of Conduct](COC.md)Thanks to:@ashwoods for the new name :-)[Coraline Ada Ehmke](http://where.coraline.codes/) for creating [the contributor covenant](http://contributor-covenant.org/)
Package: airavata-custos-portal
Airavata Custos PortalHow to useAiravat custos portal is available as a python package to install and customise for tenants needs.
The forllowing instructions are for setting up a customised portal using all the features available
in the airavata custos portal.Installpip install airavata-custos-portalCreate a Django appdjango-admin startproject my_first_custos_app
cd my_first_custos_app/my_first_custos_app
django-admin startapp my_custom_uiInclude the custos portal api and frontend in the urls.# my_first_custos_app/my_first_custos_app/urls.py 

from django.contrib import admin
from django.urls import path
from django.conf.urls import include

urlpatterns = [
    path('admin/', admin.site.urls),
    path("api/", include("airavata_custos_portal.apps.api.urls")),
    path("", include("airavata_custos_portal.apps.frontend.urls")),
]Also, include the custom UI app in the urls.# my_first_custos_app/my_first_custos_app/urls.py 

from django.contrib import admin
from django.urls import path
from django.conf.urls import include

urlpatterns = [
    path('admin/', admin.site.urls),
    path("api/", include("airavata_custos_portal.apps.api.urls")),
    path("", include("airavata_custos_portal.apps.frontend.urls")),
    path("custom-ui/", include("my_first_custos_app.my_custom_ui.urls")),
]DevelopmentThe application consists of a Vue.js frontend and a Django based backend.
The instructions below are for setting up the local setup for development.Change the configurationsChange the environment variables on.envRun Vue.js appyarn install
yarn serveLints and fixes filesyarn lintRunning the Django server locallypython -m venv venv
source venv/bin/activate
pip install -r requirements.txt
cd airavata_custos_portal/
./manage.py migrate
./manage.py runserverAnd then point tohttp://localhost:8000How to publishBuild the static filesyarn buildBuild the python packagepython -m pip install --upgrade build
python -m buildPublish the python package to pypi.org. Optionally can push to test.pypi.org. Seehttps://packaging.python.org/tutorials/packaging-projects/for more info.python -m pip install --upgrade twine
python -m twine upload dist/*
Package: airavata-custos-portal-sdk
custos-demo-gatewayProject setupyarn installCompiles and hot-reloads for developmentyarn serveCompiles and minifies for productionyarn buildLints and fixes filesyarn lintCustomize configurationSeeConfiguration Reference.Running the Django server locallypython -m venv venv
source venv/bin/activate
pip install -r requirements.txt
cd airavata_custos_portal/
./manage.py migrate
./manage.py runserver
Package: airavata-django-portal-commons
Airavata Django Portal CommonsUtilities for working with dynamically loaded Django apps.Getting StartedInstall this package with pippip install airavata-django-portal-commonsDynamically loaded Django appsAt the end of your Django server's settings.py file addimportsysfromairavata_django_portal_commonsimportdynamic_apps# Add any dynamic apps installed in the virtual environmentdynamic_apps.load(INSTALLED_APPS)# (Optional) merge WEBPACK_LOADER settings from custom Django appssettings_module=sys.modules[__name__]dynamic_apps.merge_settings(settings_module)Note: if the dynamic Django app uses WEBPACK_LOADER, keep in mind that it is
important that the version ofdjango-webpack-loaderand the version of webpack-bundle-tracker be compatible. If you're using
django-webpack-loader prior to version 1.0 then a known good pair of versions
is django-webpack-loader==0.6.0 and webpack-bundle-tracker==0.4.3.Also add'airavata_django_portal_commons.dynamic_apps.context_processors.custom_app_registry'to the context_processors list:TEMPLATES=[{'BACKEND':'django.template.backends.django.DjangoTemplates','DIRS':...'APP_DIRS':True,'OPTIONS':{'context_processors':[...'airavata_django_portal_commons.dynamic_apps.context_processors.custom_app_registry',],},},]In your urls.py file add the following to the urlpatternsurlpatterns=[# ...path('',include('airavata_django_portal_commons.dynamic_apps.urls')),]Creating a dynamically loaded Django appSeehttps://apache-airavata-django-portal.readthedocs.io/en/latest/dev/custom_django_app/for the latest information.Note that by default thecookiecutter templateregisters Django apps under the entry_point group name ofairavata.djangoapp,
but you can change this. Just make sure that when you calldynamic_apps.loadthat you pass as the second argument the name of the entry_point group.DevelopingMaking a new releaseUpdate the version in setup.cfg.Commit the update to setup.cfg.Tag the repo with the same version, with the formatv${version_number}. For
example, if the version number in setup.cfg is "1.2" then tag the repo with
"v1.2".VERSION=...
git tag -m $VERSION $VERSION
git push --follow-tagsIn a clean checkoutcd /tmp/
git clone /path/to/airavata-django-portal-commons/ -b $VERSION
cd airavata-django-portal-commons
python3 -m venv venv
source venv/bin/activate
python3 -m pip install --upgrade pip build
python3 -m buildPush to pypi.org. Optionally can push to test.pypi.org. Seehttps://packaging.python.org/tutorials/packaging-projects/for more info.python3 -m pip install --upgrade twine
python3 -m twine upload dist/*
Package: airavata-django-portal-sdk
Airavata Django Portal SDKThe Airavata Django Portal SDK provides libraries that assist in developing
custom Django app extensions to theAiravata Django Portal.See the documentation athttps://airavata-django-portal-sdk.readthedocs.io/for
more details.Getting StartedTo integrate the SDK with an Airavata Django Portal custom app, addairavata-django-portal-sdkto theinstall_requireslist in your setup.cfg or setup.py file. Then
reinstall the Django app withpip install -e .(see your Airavata Django custom app's README for details)You can also just install the library with:pip install airavata-django-portal-sdkMigrationsdjango-admin makemigrations --settings=airavata_django_portal_sdk.tests.test_settings airavata_django_portal_sdkDevelopingSetting up dev environmentTo generate the documentation,create a virtual environmentand
then:source venv/bin/activate
pip install --upgrade pip setuptools wheel
pip install -r requirements-dev.txtDocumentationmkdocs serveRunning testspytestordjango-admin test --settings airavata_django_portal_sdk.tests.test_settingsor use tox to run the tests in all supported Python environmentstoxRunning flake8flake8 .Automatically formatting Python codeautopep8 -i -aaa -r .
isort .Making a new releaseUpdate the version in setup.pyTag the repo with the same version, with the formatv${version_number}. For
example, if the version number in setup.py is "1.2" then tag the repo with
"v1.2".VERSION=...
git tag -m $VERSION $VERSION
git push --follow-tagsIn a clean checkoutcd /tmp/
git clone /path/to/airavata-django-portal-sdk/ -b $VERSION
cd airavata-django-portal-sdk
python3 -m venv venv
source venv/bin/activate
python3 -m pip install --upgrade build
python3 -m buildPush to pypi.org. Optionally can push to test.pypi.org. Seehttps://packaging.python.org/tutorials/packaging-projects/for more info.python3 -m pip install --upgrade twine
python3 -m twine upload dist/*
Package: airball
Welcome to AIRBALLAIRBALL is a package for running and managing flybys usingREBOUND. It is an extension to REBOUND, the popular N-body integrator.AIRBALL is currently in alpha testing. The APIs are subject to change without warning or backwards compatibility. Feedback and feature requests are very welcome.FeaturesLogic for handling the geometry of adding, running, and removing a flyby object in a REBOUND simulation.Stellar environments for generating and managing randomly generated stars from different stellar environments throughout the galaxy.Initial mass functions for quickly generating samples from probability distributions.Astropy.units integration to help you manage the mess of units and scales.Interactive examples for teaching and exploring AIRBALL’s functionality.InstallationAIRBALL is installable viapipwith one simple commandpipinstallairballThe following packages should automatically be installed along with AIRBALL:reboundnumpyscipyjoblibastropyContributorsGarett Brown, University of Toronto,garett.brown@mail.utoronto.caHanno Rein, University of Toronto,hanno@hanno-rein.deHasaan Mohsin, University of Toronto,hasaan.mohsin@mail.utoronto.caRyan Chao-Ming Lam, University of Waterloo,ryan.lam1@uwaterloo.caLinda He, Ivy Shi, and others.AIRBALL is open source and you are invited to contribute to this project!AcknowledgmentsIf you use this code or parts of this code for results presented in a scientific publication, we would greatly appreciate a citation.LicenseAIRBALL is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.AIRBALL is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.You should have received a copy of the GNU General Public License along with airball.  If not, seehttp://www.gnu.org/licenses/.
Package: airbase
🌬 AirBaseAn easy downloader for the AirBase air quality data.AirBase is an air quality database provided by the European Environment Agency
(EEA). The data is available for download atthe portal, but
the interface makes it a bit time consuming to do bulk downloads. Hence, an easy
Python-based interface.Read the full documentation athttps://airbase.readthedocs.io.🔌 InstallationTo installairbase, simply run$pipinstallairbase🚀 Getting Started🗺 Get info about available countries and pollutants:>>>importairbase>>>client=airbase.AirbaseClient()>>>client.all_countries['GR', 'ES', 'IS', 'CY', 'NL', 'AT', 'LV', 'BE', 'CH', 'EE', 'FR', 'DE', ...>>>client.all_pollutants{'k': 412, 'CO': 10, 'NO': 38, 'O3': 7, 'As': 2018, 'Cd': 2014, ...>>>client.pollutants_per_country{'AD': [{'pl': 'CO', 'shortpl': 10}, {'pl': 'NO', 'shortpl': 38}, ...>>>client.search_pollutant("O3")[{'pl': 'O3', 'shortpl': 7}, {'pl': 'NO3', 'shortpl': 46}, ...🗂 Request download links from the server and save the resulting CSVs into a directory:>>>r=client.request(country=["NL","DE"],pl="NO3",year_from=2015)>>>r.download_to_directory(dir="data",skip_existing=True)Generating CSV download links...100%|██████████| 2/2 [00:03<00:00,  2.03s/it]Generated 12 CSV links ready for downloadingDownloading CSVs to data...100%|██████████| 12/12 [00:01<00:00,  8.44it/s]💾 Or concatenate them into one big file:>>>r=client.request(country="FR",pl=["O3","PM10"],year_to=2014)>>>r.download_to_file("data/raw.csv")Generating CSV download links...100%|██████████| 2/2 [00:12<00:00,  7.40s/it]Generated 2,029 CSV links ready for downloadingWriting data to data/raw.csv...100%|██████████| 2029/2029 [31:23<00:00,  1.04it/s]📦 Download the entire dataset (not for the faint of heart):>>>r=client.request()>>>r.download_to_directory("data")Generating CSV download links...100%|██████████| 40/40 [03:38<00:00,  2.29s/it]Generated 146,993 CSV links ready for downloadingDownloading CSVs to data...0%|          | 299/146993 [01:50<17:15:06,  2.36it/s]🌡 Don't forget to get the metadata about the measurement stations:>>>client.download_metadata("data/metadata.tsv")Writing metadata to data/metadata.tsv...🚆 Command line interface$airbasedownload--helpUsage: airbase download [OPTIONS]Download all pollutants for all countriesThe -c/--country and -p/--pollutant allow to specify which data to download, e.g.- download only Norwegian, Danish and Finish sitesairbase download -c NO -c DK -c FI- download only SO2, PM10 and PM2.5 observationsairbase download -p SO2 -p PM10 -p PM2.5Options:-c, --country [AD|AL|AT|...]-p, --pollutant [k|CO|NO|...]--path PATH                     [default: data]--year INTEGER                  [default: 2022]-O, --overwrite                 Re-download existing files.-q, --quiet                     No progress-bar.--help                          Show this message and exit.🛣 RoadmapParallel CSV downloadsContributed by @avaldebeCLI to avoid using Python all togetherContributed by @avaldebeData wrangling module for AirBase output data
Package: airbnb
Copyright (C) 2004 Sam Hocevar <sam@hocevar.net>Everyone is permitted to copy and distribute verbatim or modifiedcopies of this license document, and changing it is allowed as longas the name is changed.DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSETERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION0. You just DO WHAT THE FUCK YOU WANT TO.Description: UNKNOWNPlatform: UNKNOWNClassifier: Programming Language :: PythonClassifier: Topic :: Software Development :: Libraries :: Python ModulesClassifier: Development Status :: 4 - BetaClassifier: Intended Audience :: DevelopersClassifier: Intended Audience :: End Users/DesktopClassifier: Operating System :: OS IndependentClassifier: License :: Public DomainClassifier: Programming Language :: Python :: 3Classifier: Programming Language :: Python :: 2.6Classifier: Programming Language :: Python :: 2.7Classifier: Topic :: Internet :: WWW/HTTPClassifier: Environment :: Console
Package: airbnb-script
airbnb_scriptStable version 1.0.6This script can help you to start own Internet business anywhere in the world. The system allows you to run a super-modern, interactive and fast website.Free AirBNB script for Real Estate
agenciesThe script supports:Selling Entertainment, Tours & Everything!AirBNB script for Property RentalClassified for Real Estate agencyDemo:Website:https://mirador.onlineAdmin:https://mirador.online/admin/Login:demoPassword:demodemoReal exampleCanarian Islands, Tenerife — Things to doModulesMobile versionOur script based on ReactJS technology and works
great on all smartphones and tablets — check!SEOThe site is perfectly adapted for search engines and supports
the Open-Graph & JsonLD protocols. The news section allows you to post
SEO-text with automatic relinking.Discount systemAllows you to set global discounts or hold one-time
promotions. The discount is calculated from the amount of your
commission which specified into the price of each offer.TripAdvisor ReviewsAutomatic parsing reviews with auto-rewriting
text. Gradual addition of reviews to your website with cross-linking,
for the natural increasing of content.Flexible price managementThe final price of your offers on the site
is formed from the basic price of the supplier and your commission.Support ChatDynamic form placed in all pages of the site, allowing
customers to send requests to your email.Customers and ordersAll orders arriving in the system have extended
data of prices with a convenient system of customer management.Personal AreaYou can allow your users to add their objects to your
website through their personal account.Other features:Booking in two clicks— the interface allows you to make an order
easily and simply!White-Label— we do not place our logos.Unlimitednumber of copies of your script.Auto-scaling photos— don’t think about the size of photos, our
script optimizes them independently.Youtube-video— specify the link to the video and the video will
appear at the offer page.Caching algorithm— loading pages occurs faster than 1 second.SSL-securitycertificate based on CloudFlare. Your site will work
through a secure https protocol.Email notifications.Receive email notifications for orders.Auto-update system.In the near future:Integration with several languages.Payments by cardsAutoposting to Facebook, InstagramInstallationScript made with:ReactJS, Django v2, Ubuntu. Installation takes
place automatically in 5 minutes, via the Docker system. First
installation for free!Detailed installation instructions you will receive by email.If
necessary, we can adapt templates for your business — the cost
depends on the amount of work.Contact usContact UsAt
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Package: airbotics-agent
The Airbotics AgentThis repository contains the source code for theAirboticsagent. The agent is designed to run as a background service that is responsible for maintaining communications with:The MQTT broker in the airbotics cloud.ROS2 on the host machine.The Docker Engine to on the host machine (optional).DocumentationCheck the latestdocumentationto get started.LicenseThis software is licensed underApache 2.0
Package: airbrake-flask
airbrake-flask is a fast library that use the amazing requests library to senderror, exception messages to airbrake.io. You can use this library with theamazing gevent library to send your request asynchronously.Example Usage with gevent-------------------------from flask import Flask, request, got_request_exceptionfrom airbrake.airbrake import AirbrakeErrorHandlerimport geventimport sysapp = Flask(__name__)ENV = ('ENV' in os.environ and os.environ['ENV']) or 'prod'def log_exception(error):handler = AirbrakeErrorHandler(api_key="PUT_YOUR_AIRBRAKE_KEY_HERE",env_name=ENV, request=request)gevent.spawn(handler.emit, error, sys.exc_info())got_request_exception.connect(log_exception, app)Contribute----------This library is hosted on Github and you can contribute there:http://github.com/kienpham2000/airbrake-flask
Package: airbrake-tornado
# airbrake-tornadoAirbrake notifier for Tornado web framework.## InstallationInstall via pip:pip install airbrake-tornado## Usage```pythonfrom airbrake import airbrake# In your RequestHandler:API_KEY = "Airbrake API key"ENV_NAME = "Airbrake env name"def write_error(self, status_code, **kwargs):if exc_info and status_code == 500:airbrake.notify(kwargs["exc_info"],self.request,"My-cool-app",api_key=self.API_KEY,environment=self.ENV_NAME)```## Licenseairbrake-tornado is available under the MIT license. See the [LICENSE](LICENSE) file for more info.