Saravanan666/pypi-org huggingface dataset:
Package: aqualink
aqualinkA better Python lavalink library made for use in discord.py rewrite or discord.jspy bots.It has an easy to use and very fast interface that is very dynamic.Installationpip3 install aqualinkBasic Usageimportaqualinkaqualink.Connection(bot)awaitbot.waterlink.connect(password="youshallnotpass",ws_url="ws://localhost:2333",rest_url="http://localhost:2333")# laterp=bot.waterlink.get_player(ctx.guild.id)# get the player objectawaitp.connect(ctx.voice_client.channel.id)# connect to the author's VCtracks=awaitp.query("ytsearch: hello Adele")# get a list of Track objectsawaitp.play(tracks[0])# play the first matchawaitp.set_eq(waterlink.Equalizer.bassboost().ultra)# equalizer support! Ultimate bassboost presetprint(p.track.title,p.track.thumbnail)# print the currently playing track title and thumbnail# and so on
Package: aqualink-api
aqualink-apiThe Aqualink public API documentationThis Python package is automatically generated by theOpenAPI Generatorproject:API version: 1.0.0Package version: 1.0.8Build package: org.openapitools.codegen.languages.PythonClientCodegenRequirements.Python >=3.6Installation & Usagepip installIf the python package is hosted on a repository, you can install directly using:pipinstallaqualink-api(you may need to runpipwith root permission:sudo pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git)Then import the package:importaqualink_sdkSetuptoolsInstall viaSetuptools.pythonsetup.pyinstall--user(orsudo python setup.py installto install the package for all users)Then import the package:importaqualink_sdkGetting StartedPlease follow theinstallation procedureand then run the following:importtimeimportaqualink_sdkfrompprintimportpprintfromaqualink_sdk.apiimportcollections_apifromaqualink_sdk.model.collectionimportCollectionfromaqualink_sdk.model.create_collection_dtoimportCreateCollectionDtofromaqualink_sdk.model.inline_response401importInlineResponse401fromaqualink_sdk.model.inline_response404importInlineResponse404fromaqualink_sdk.model.update_collection_dtoimportUpdateCollectionDto# Defining the host is optional and defaults to https://ocean-systems.uc.r.appspot.com/api# See configuration.py for a list of all supported configuration parameters.configuration=aqualink_sdk.Configuration(host="https://ocean-systems.uc.r.appspot.com/api")# The client must configure the authentication and authorization parameters# in accordance with the API server security policy.# Examples for each auth method are provided below, use the example that# satisfies your auth use case.# Configure Bearer authorization (JWT): bearerconfiguration=aqualink_sdk.Configuration(access_token='YOUR_BEARER_TOKEN')# Enter a context with an instance of the API clientwithaqualink_sdk.ApiClient(configuration)asapi_client:# Create an instance of the API classapi_instance=collections_api.CollectionsApi(api_client)create_collection_dto=CreateCollectionDto(name="La Niña heatwave 20/21",user_id=1,site_ids=[1,3,5],is_public=True,)# CreateCollectionDto |try:# Creates a new collectionapi_response=api_instance.collections_controller_create(create_collection_dto)pprint(api_response)exceptaqualink_sdk.ApiExceptionase:print("Exception when calling CollectionsApi->collections_controller_create:%s\n"%e)
Package: aquaman
aquamanPython Boilerplate contains all the boilerplate you need to create a Python package.Free software: Apache Software License 2.0Documentation:https://aquaman.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.0.1 (2019-06-28)First release on PyPI.
Package: aquami
An open source package and GUI for automatic analysis of micrographs containing morphologically complex multiphase materials.  Designed especially for analysis of nanoporous metals and bicontinuous composites. Automatically returns quantitative mean and distribution measurements of microstructural features such as ligament/pore diameter, node-to-node length, particle/pore area, and area fraction.  Measurements and summaries can be conveniently output into excel and pdf files.For more information, seethis paper.InstallingA standalone Windows version that does not require Python can be foundhere.The easiest way to install the Python version is with pip.  In the command prompt type:pipinstallaquamiRunning the programType the following in the command prompt pressing the <enter> key between lines:pythonfromaquamiimportguigui.run()New in version 1.1.0Fix for Mac operating systems.Updates for depreciated functions in numpy and matplotlib.
Package: aquanta
aquantaaquantais an unofficial python library to communicate with the
Aquanta water heater smart controller. This library covers a limited
set of the device features.>>> from aquanta import Aquanta
>>> aquanta = Aquanta('<YOUR-EMAIL>', '<YOUR-PASSWORD>')Multiple aquanta devices can be attached to a single Aquanta
accounts. Similarly anAquantaobject list all these devices as
couples of identifier (int) andAquantaDeviceobject.>>> list(aquanta)
[(19658, <aquanta.AquantaDevice object at 0x7f5c5037bd90>)]TheAquantaDeviceobject offers method to read the water heater
status and access its schedule. The schedule can be read and written
but the write feature has not been tested.>>> aquanta[19658].water
{'temperature': 49.41, 'available': 1}
>>> aquanta[19658].infocenter
{'title': 'Aquanta', 'currentMode': {'type': 'timer'},
'records': [{'title': 'Controlling to Manual Setpoint',
             'type': 'setpoint', 'state': 'ongoing',
             'body': 'Aquanta is controlling to your specified setpoint'},
            {'title': 'Your Timer Is Running', 'type': 'timer', 
             'state': 'ongoing',
             'body': 'Aquanta is keeping your water heater off until 8:00AM tomorrow'}]}
>>> aquanta[19658].advanced
{'controlEnabled': True, 'intelEnabled': False, 'efficiencySelection': 0.5,
 'setPoint': 90, 'thermostatEnabled': True, 'touEnabled': False,
 'timerEnabled': True}
>>> aquanta[19658].timer
{'schedules': [{'start': {'hour': 8, 'minute': 15, 'second': 0},
                'end': {'hour': 14, 'minute': 30, 'second': 0},
                'daysOfWeek': [1, 2, 3, 4, 5], 'resolution': 2},
               {'start': {'hour': 8, 'minute': 15, 'second': 0},
                'end': {'hour': 14, 'minute': 30, 'second': 0},
                'daysOfWeek': [0, 6], 'resolution': 2}, 
               {'start': {'hour': 15, 'minute': 15, 'second': 0},
                'end': {'hour': 23, 'minute': 59, 'second': 59},
                'daysOfWeek': [1, 2, 3, 4, 5], 'resolution': 2},
               {'start': {'hour': 15, 'minute': 15, 'second': 0},
                'end': {'hour': 23, 'minute': 59, 'second': 59}, 
                'daysOfWeek': [0, 6], 'resolution': 2},
               {'start': {'hour': 0, 'minute': 0, 'second': 0},
                'end': {'hour': 8, 'minute': 0, 'second': 0},
                'daysOfWeek': [1, 2, 3, 4, 5], 'resolution': 2},
               {'start': {'hour': 0, 'minute': 0, 'second': 0},
                'end': {'hour': 8, 'minute': 0, 'second': 0},
                'daysOfWeek': [0, 6], 'resolution': 2}],
 'selectedResolution': 2}TheAquantaDeviceobject also provides methods to set theboostorawaymode time window. Theset_boost()andset_away()method
parameters are two strings (startandend) of UTC time formatted
as%Y-%m-%dT%H:%M:%S.000Z.
Package: aqua-parser
Aqua-parserDescriptionAqua-parser is a package for extracting data from structured reports in pdf format.How to useFirst of all, you need to install the package:pipinstallaqua-parserNext, the package must be imported into your project:importaquaparserTo extract the data, you just need to pass the file to the function:measurement=aquaparser.parse('document.pdf')The function will return you the dataclass "Measurement" object:@dataclassclassMeasurement:title:MeasurementTitletoc:list[MeasurementTOC]@dataclassclassMeasurementTitle:measurement_object:strproject:strreport_date:datetimeresponsible_person:str@dataclassclassMeasurementTOC:smd:strstatus:Optional[str]value_description:Optional[str]single_value:Optional[str]trial_object:Optional[str]
Package: aquapointer
aquapointerPackage applying quantum algorithms to find locations of water molecules in a protein cavity.Getting startedYou can usethis notebookto get started with aquapointer.Installing aquapointerFrom the top level of the repository, where thesetup.pyfile is found, just runpython setup.py installContributingAquapointer is developed byUnitary Fund,PASQAL, andQubit Pharmaceuticals. You are welcome to contribute to the project, open an issue or a pull request.You can join the#aquapointerchannel on the Unitary Fund Discord for community support.FundingWork on aquapointer is supported byWellcome Leapas part of the Quantum for Bio Program (Q4Bio).LicenseAquapointer is released underGPL-3.0 license.
Package: aqua-python
This is a formatter for Python code that adheres to the PEP8 standards.
It will indent classes, functions, loops, and conditional statements
with 4 spaces and will break a line longer than 72 characters.
This project is still in developement and is being updated constantly.How to Use:When writing python code to be formatted with Aqua, it is
important to leave one blank line after an indented block ends.
This tells Aqua that the next line should not be indented.  If
code is written immediately after a block is supposed to end,
it will be indented as part of the block. The blank line tells
Aqua that the block has ended.
Package: aquaref-metroframework
aquarefaquaref是使用.NET WinForms开发的界面库例子fromaquaref.winforms.metroimport*fromaquarefimport*fromosimportenvironwindow=MetroForm()window.Title="aquaref.Metro"tooltip=MetroToolTip()tab=window.Create(MetroTab)tab.Pack(Dock="Fill")tab1=tab.CreatePage("Tiles && Buttons")button3=tab1.Create(MetroButton)button3.Text="System"button3.Bind("Click",lambdae1,e2:window.StyleManager.SetTheme("System"))button3.Pack(Dock="Top")tooltip.SetToolTip(button3,"Button3")button2=tab1.Create(MetroButton)button2.Text="Dark"button2.Bind("Click",lambdae1,e2:window.StyleManager.SetTheme("Dark"))button2.Pack(Dock="Top")button2.ToolTip="Button2"button=tab1.Create(MetroButton)button.Text="Light"button.Bind("Click",lambdae1,e2:window.StyleManager.SetTheme("Light"))button.Pack(Dock="Top",Margin=10)label=tab1.Create(MetroLabel)label.Text="Theme"label.Pack(Dock="Top")tab2=tab.CreatePage("Options")window.StyleManager.Theme="Dark"window.StyleManager.Style="Red"window.AppRun()浅亮深黑教程基本窗口fromaquarefimportFormwindow=Form()window.AppRun()导入默认aquaref.__init__是不会直接导入额外的组件库的MetroFrameworkimportaquaref.winforms.metroasmetro打包建议不要启用单文件
Package: aquarium
Aquarium is a Web application framework written in Python.  It provides an
approach to producing a Web application without duplication of effort by
reducing the amount of code you need to write.  It offers convenient libraries
and extensible APIs for items such as session management and Web server
integration including CGI, mod_python, FastCGI, or its own Web server, Glass.
It provides tight integration with Cheetah including autocompilation of Cheetah
templates.  Last of all, it offers a convenient approach to Web development
inspired by FreeTrade.  As a developer, you just “plug in” modules; Aquarium
ties them all together.
Package: aquarium-python-api
Package python for AquariumAquarium python API is a tool that allowsAquarium Studiousers to interact with there data from directly from Python.Aquarium Studio is developed byFatfish Lab# -*- coding: utf-8 -*-fromaquariumimportAquariumaq=Aquarium('https://your-aquarium-server')aq.connect(AQ_USER,AQ_PASSWORD)me=aq.get_current_user()my_tasks=me.get_tasks()InstallationThis package is compatible with Python 2.7 and 3.7+python-mpipinstallaquarium-python-apiORpython-mpipinstallgit+https://github.com/fatfish-lab/aquarium-python-api.gitDocumentationCheck ourdocumentationto find all the information you need.MaintainerThe repository is maintained byFatfish LabSupportYou can contact our team atsupport@fatfi.sh.DevelopmentRather the package is compatible with python 2.7 and 3, the Sphinx documentation is using python 3.Clone this repositorySetup a virtual env :virtualenv pyaqSetup a virtual env :virtualenv pyaqIf needed, you can specify the version of python used in your virtual env :virtualenv --python=/usr/bin/python3 pyaq3Enable your virtual env :source pyaq/bin/activateInstall local Aquarium package to your virtual env :pip install -e /path/to/package/aquarium-python-apiBuild the documationcd /path/to/package/aquarium-python-api/docsmake htmlLicenceThis project uses the following license: GPL-3.0-only.
See the license file to read it.
Package: aquarius-webportal
aquarius_webportalPython code to get data from implementations of Aquarius Web PortalThis is an unofficial side-project done in my spare time.How to useCheck out thecomplete package documentation.InstallYou will need Python 3.6 or a more recent version.$pipinstallaquarius_webportalThis installs the latestreleaseof the Python packageaquarius_webportal.To install the latest code from GitHub, make sure you the dependenciespandasandrequestsinstalled, then use:$pipinstallhttps://github.com/kinverarity1/aquarius_webportal/archive/master.zipLicenseMIT
Package: aquaui
aquauiDisplay native dialogs, alerts, notifications, color pickers, and more with Python💥 This library is still a work in progress.Useful linksDocumentationExamplesDiscussionsFeaturesDisplay dialogsDialog promptsIcon supportAlertsChoice dialogsNotificationsCustomize title, subtitle, and informational textCustomize iconSchedulableCallbacks (button pressed, reply text) –relevant stackoverflow answerFallback (AppleScript) notificationsColor pickerFile/folder pickerDocumentationFind the documentation in thedocs/folderExamplesSee theexamples/directory. Feel free to make a pull request to add more examples.Show a dialog with the buttons "Go" (default) and "No" (to cancel) with the caution icon:fromaquauiimportDialog,Buttons,Iconbuttons=Buttons(["Go","No"],default_button="Go",cancel_button="No")result=Dialog("Hello!").with_buttons(buttons).with_icon(Icon.CAUTION).show()Execute functions based on the button clicked:fromaquauiimportDialog,Buttonsbutton_one="One"button_two="Two"buttons=Buttons([button_one,button_two])result=Dialog("Press a button").with_buttons(buttons).show()ifresult.button_returned==button_one:print("Button One was pressed")elifresult.button_returned==button_two:print("Button Two was pressed")Display a choice dialog with the options "Netflix" and "Prime Video"fromaquauiimportChoiceprovider=Choice("Choose the streaming platform").with_choices(["Netflix","Prime Video"]).show()print(provider)If this example interests you, check out my other libraryFlixpy.Display a notification:Warning: please read thedocumentationbefore using notifications. There are additional dependencies to install.fromaquaui.notification.native_notificationimportNotificationnotification=(Notification("Hello!").with_subtitle("This is the subtitle!").with_informative_text("Isn't this informative?").with_identity_image("assets/folder.png")# the image on the right of the notification.send())Schedule a notification:fromaquaui.notification.native_notificationimportNotificationnotification=Notification("Your pizza is here!").with_delay(15).send()# 15 seconds delayBuild setupClone or fork the repository, then runpoetryshell

poetryinstall
pre-commitinstallMake changes, then run tests withpytesttestsEnsure that all tests pass.Recommended editor settings{"python.formatting.provider":"black","editor.formatOnSave":true,"[python]":{"editor.insertSpaces":true,"editor.detectIndentation":false,"editor.tabSize":4},"python.linting.enabled":true,"python.linting.flake8Enabled":true,"python.linting.pylintEnabled":false,"python.pythonPath":"/Users/yourusername/.../aquaui-UIHDsdfS-py3.7"}LicenseMIT
Package: aqueduct
Framework for performance-efficient prediction.Key BenefitsIncreases the throughput of your machine learning-based serviceUses shared memory for instantaneous transfer of large amounts of data between processesAll optimizations in one libraryQuickstartInstall usingpip:pipinstallaqueductMoreover, aqueduct has “optional extras”numpy- support types from numpy in shared memoryaiohttp- extension for aiohttp support(see more in examples)DocumentationVideos about aqueductGetting startedFundamentalsExampleBatchingF.A.Q.LoggingMetricsAdditional featuresSentry supportExamplesAiohttpFlaskContact UsFeel free to ask questions in Telegram:t.me/avito-ml
Package: aqueduct3
aqueduct3Python module for aqueduct program.TutorialRelease ChecklistFree software: MIT licenseDocumentation:https://aqueduct3.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2018-04-10)First release on PyPI.
Package: aqueduct-py
Aqueduct Fluidics Python APIThe Aqueduct Fluidics Python API is a Python-based software package designed for laboratory automation and instrumentation. It provides an abstraction layer that allows operators to write Python code to interface with devices such as pumps, valves, and sensors, without having to deal with low-level communication protocols.You can find complete documentation herehere.Getting StartedTo get started with the Aqueduct Fluidics Core Application, simply install it usingpip:pipinstallaqueduct-pyTestingInstall with dev dependencies.Windowspython -m pip install -e .[test]Macpython -m pip install -e '.[test]'To testpython -m pytest srcPre-Commit Hookspre-commit run --all-files
Package: aqueduct-utility
aqueductInstallationRequirementAWS Command Line Interface (AWS CLI) Version 2curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip awscliv2.zip
sudo ./aws/install
aws --versionhttps://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.htmlDeploymentpip install aqueduct-utilityShell Completionaqueduct --install-completionIAM Identity CenterSingle Sign-On$ aqueduct login
Identity Store: portal
SSO Region: us-east-2
SSO Role: AWSAdministratorAccess
CLI Region: us-east-2
CLI Output: json
Authenticated!!Single Sign-Out$ aqueduct logout 
Logged Out!!DeploymentAll Accounts$ aqueduct deploy
Deploy Folder: test
Deploy [y/N]: y
--------------------------------------
Deploy AccountName 123456789012
--------------------------------------

✨  Synthesis time: 10.9s

TestStack: building assets...

[0%] start: Building 93a9449a1ac92f796d777916aae26c4c0e5740a72635c27014a56be5bcd35e4d:123456789012-us-east-2
[100%] success: Built 93a9449a1ac92f796d777916aae26c4c0e5740a72635c27014a56be5bcd35e4d:123456789012-us-east-2

TestStack: assets built

TestStack: deploying...
[0%] start: Publishing 93a9449a1ac92f796d777916aae26c4c0e5740a72635c27014a56be5bcd35e4d:123456789012-us-east-2
[100%] success: Published 93a9449a1ac92f796d777916aae26c4c0e5740a72635c27014a56be5bcd35e4d:123456789012-us-east-2
TestStack: creating CloudFormation changeset...

 ✅  TestStack

✨  Deployment time: 16.51s

Stack ARN:
arn:aws:cloudformation:us-east-2:123456789012:stack/TestStack/58a84490-6931-11ed-ab5a-0a2c7b97f37e

✨  Total time: 27.41sDestructionAll Accounts$ aqueduct destroy
Destroy Folder: test
Destroy [y/N]: y
--------------------------------------
Destroy AccountName 123456789012
--------------------------------------
TestStack: destroying...

 ✅  TestStack: destroyedHintsCommon Commands$ aqueduct hints

** INSTALLATION **

npm install -g aws-cdk
npm install -g npm@9.6.7
npm install -g node@18.0.0 --force

** APPLICATION **

cdk init app --language python
python3 -m venv .venv
source .venv/bin/activate
pip3 install -r requirements.txt --upgrade

** GITIGNORE **

echo .~c9* > ~/.gitignore
echo cdk.context.json >> ~/.gitignore
git config --global core.excludesfile ~/.gitignoreSuppressionCode Generationhttps://constructs.dev/packages/cdk-nag$ aqueduct nag
{"id":"AwsSolutions-IAM4","reason":"The IAM user, role, or group uses AWS managed policies."},ValidationItems CheckedDeploy FolderDestroy FolderOutput FormatDevelopmentLocal Buildpython setup.py install --user
Package: aqueue
aqueueis an async task queue with live progress display.You put items (tasks) in, and they get processed, possibly creating more items which
get processed, and so on, until all items are completed. A typical use case would be to scrape a
website.Meanwhile, a nice visualization of the queue’s goings-on is displayed in the terminal.Noteaqueue, or any asynchronous framework, is only going to be helpful if you’re performingI/O-boundwork.Installationaqueueis a Python packagehosted on PyPI. The recommended
installation method ispip-installing into a virtual
environment:pipinstallaqueueGetting StartedThere’s two things you need to do to use aqueue:Implement yourItemsubclasses.Start your queuewith one of those
items.ExampleIf you had a hierarchy of items like this…Then, you might process it withaqueuelike this…importaqueueclassRootItem(aqueue.Item):asyncdefprocess(self)->aqueue.ProcessRetVal:# display what we're doing in the worker status panelself.set_worker_desc("Processing RootItem")# make an HTTP request, parse it, etc...# when you discover more items you want to process, enqueue them by yield-ing# them:for_inrange(3):yieldChildItem()asyncdefafter_children_processed(self)->None:# run this method when this Item and all other Items it enqueued are doneprint("All done!")classChildItem(aqueue.Item):# track the enqueueing and completion of these items in the overall paneltrack_overall:bool=Trueasyncdefprocess(self)->aqueue.ProcessRetVal:self.set_worker_desc("Processing ChildItem")# this child item has no further children to enqueue, so it doesn't yield# anythingif__name__=="__main__":aqueue.run_queue(initial_items=[RootItem()],num_workers=2,)Project InformationLicense:MITPyPI:https://pypi.org/project/aqueue/Source Code:https://github.com/t-mart/aqueueDocumentation:https://t-mart.github.io/aqueue/Supported Python Versions: 3.10 and later
Package: aquifer
aquiferMetrics send and query abstraction layer with URI-based backend
configuration, in Python Includes backend support for DatadogConfigurationThis package uses an URI-style configuration for providing credentials
and options. The schema looks like:`metrics://<backend_api_key>@<backend_name>?<option1>=xxx&<option2>=xxx`e.g. for datadog:metrics_uri ='metrics://xxxx@datadog?app_key=xxxx&debug=true'DevelopmentThe development system is built byRake.To install the dependencies, run:$ rake installTo run test, run:$ rake lint && rake test