Saravanan666/pypi-org huggingface dataset:
Package: birdhousebuilder.recipe.sphinx
IntroductionBuildout Recipe to setup Sphinx Documentation forBirdhouseComponents.The recipe is based onhttps://pypi.python.org/pypi/collective.recipe.sphinxbuilderUsageThe recipe requires thatAnacondais already installed. You can use the buildout optionanaconda-hometo set the prefix for the anaconda installation. Otherwise the environment variableCONDA_PREFIX(variable is set when activating a conda environment) is used as conda prefix.The recipe builds an initial docs folder for Sphinx indocs.
The recipe configuressphinx-autoapito generate the api reference documetation from the source code.The recipe depends onbirdhousebuilder.recipe.condaandzc.recipe.eggSupported OptionsThe recipe supports the following options:project(default:MyBird)Specify the project name.author(default:Birdhouse)Specify the author of the project.version(default:0.1)Specify the version of the project.use_autoapi(default:true)Set tofalsif you don’t want to use thesphinx-autoapi.src(default:.)Specify path to source folder which will be used bysphinx-autoapi.Example UsageSet up the docs for the projectEmu:[buildout]parts=sphinx[sphinx]recipe=birdhousebuilder.recipe.sphinxproject=Emuversion=0.2src=emuCarsten Ehbrecht <ehbrecht@dkrz.de>Changes0.2.4 (2018-01-17)pep8.using alabaster theme.using pywps autodoc extension.0.2.3 (2016-07-25)added birdhouse to intersphinx.0.2.2 (2016-07-15)fixed twitcher link.0.2.1 (2016-07-11)updated to latest conda recipe.updated test suite.0.2.0 (2016-07-01)replaced conda.makedirs by os.makedirs.0.1.7 (2016-06-02)fixed readthedocs urls.0.1.6 (2016-06-01)rst_epilog links added.ignore localhost links.linkcheck_timeout added.0.1.5 (2016-02-19)added use_autoapi option.0.1.4 (2016-02-19)added linkcheck options.0.1.3 (2015-10-24)setups requirements/rtd.txt for readthedocs.0.1.2 (2015-10-24)replaced autodoc by sphinx-autoapi extensionusing src option for sphinx-autoapi0.1.1 (2015-10-23)added extra_pathsadded sys.path in conf.py template0.1.0 (2015-10-23)Initial Release
Package: birdhousebuilder.recipe.thredds
ContentsIntroductionUsageSupported optionsExample usageAuthorsChanges0.3.0 (2015-12-17)0.2.3 (2015-12-08)0.2.2 (2015-06-17)0.2.1 (2015-04-02)0.2.0 (2015-02-24)0.1.4 (2014-12-06)0.1.3 (2014-08-27)0.1.2 (2014-08-01)0.1.1 (2014-07-22)0.1.0 (2014-07-10)Introductionbirdhousebuilder.recipe.threddsis aBuildoutrecipe to install and configureThreddsserver withAnaconda.
This recipe is used by theBirdhouseproject.UsageThe recipe requires that Anaconda is already installed. It assumes that the default Anaconda location is in your home directory~/anaconda. Otherwise you need to set theANACONDA_HOMEenvironment variable or the Buildout optionanaconda-home.It installs thethreddsandapache-tomcatpackage from a conda channel  in a conda enviroment namedbirdhouse. The location of the birdhouse environment is.conda/envs/birdhouse. It deploys aSupervisorconfiguration for Tomcat in~/.conda/envs/birdhouse/etc/supervisor/conf.d/tomcat.conf. Supervisor can be started with~/.conda/envs/birdhouse/etc/init.d/supervisordstart.By default Thredds will be available onhttp://localhost:8080/thredds.The recipe depends onbirdhousebuilder.recipe.conda,birdhousebuilder.recipe.supervisorandbirdhousebuilder.recipe.tomcat.Supported optionsThis recipe supports the following options:anaconda-homeBuildout option with the root folder of the Anaconda installation. Default:$HOME/anaconda.
The default location can also be set with the environment variableANACONDA_HOME. Example:export ANACONDA_HOME=/opt/anacondaSearch priority is:anaconda-homeinbuildout.cfg$ANACONDA_HOME$HOME/anacondadata_rootRoot Path of data files (NetCDF) for Thredds. Default:~/.conda/envs/birdhouse/var/lib/pywps/outputorganisationThe name of your organisation. Default: BirdhousewebsiteThe URL of your organisation. Default: Noneallow_wmsIf set totrueWeb Mapping Service will be enabled. Default:true.allow_wcsIf set totrueWeb Coverage Service will be enabled. Default:false.allow_ncisoIf set totrueISO generator Service will be enabled. Default:false.To configure tomcat see the options in thetomcat recipe. For example:http_portHTTP Port for Tomcat service. Default: 8080Example usageThe following examplebuildout.cfginstalls Thredds with Anaconda and givendata_rootdirectory:[buildout]
parts = thredds

anaconda-home = /home/myself/anaconda

[thredds]
recipe = birdhousebuilder.recipe.thredds
# ncwms
data_root = /var/lib/thredds/data_root
organisation = Birdhouse
allow_wms = true
# tomcat
http_port = 8080AuthorsCarsten Ehbrecht ehbrecht at dkrz.deChanges0.3.0 (2015-12-17)install tomcat.0.2.3 (2015-12-08)remove config files on uninstall.0.2.2 (2015-06-17)using tomcat.content_root().cleaned up default configs for thredds.allow more configurations.0.2.1 (2015-04-02)updated docs.0.2.0 (2015-02-24)installing in conda enviromentbirdhouse.using$ANACONDA_HOMEenvironment variable.separation of anaconda-home and installation prefix.0.1.4 (2014-12-06)Don’t update conda on buildout update.0.1.3 (2014-08-27)Added web.xml config template.0.1.2 (2014-08-01)Updated documentation.0.1.1 (2014-07-22)Fixed deployment of thredds config.0.1.0 (2014-07-10)Initial Release.
Package: birdhousebuilder.recipe.tomcat
Introductionbirdhousebuilder.recipe.tomcatis aBuildoutrecipe to installApache Tomcatapplication server withAnaconda. This recipe is used by theBirdhouseproject.UsageThe recipe requires that Anaconda is already installed. You can use the buildout optionanaconda-hometo set the prefix for the anaconda installation. Otherwise the environment variableCONDA_PREFIX(variable is set when activating a conda environment) is used as conda prefix.It installs theapache-tomcatpackage from a conda channel in a conda enviroment defined byCONDA_PREFIX. The intallation folder is given by theprefixbuildout option. It deploys aSupervisorconfiguration in${prefix}/etc/supervisor/conf.d/tomcat.conf. Supervisor can be started with${prefix}/etc/init.d/supervisordstart.By default Tomcat will be available onhttp://localhost:8080/.The recipe depends onbirdhousebuilder.recipe.condaandbirdhousebuilder.recipe.supervisor.Supported optionsThis recipe supports the following options:anaconda-homeBuildout option pointing to the root folder of the Anaconda installation. Default:$HOME/anaconda.http_portHTTP Port for Tomcat service. Default: 8080XmsInitial Java heap size: Default: 128mXmxMaximum Java heap size: Default: 1024mMaxPermSizeMaximum Java permanent heap size: Default: 128mncwms_passwordEnable ncWMS2 admin web interface by setting a password: Default: disabledExample usageThe following examplebuildout.cfginstallstomcatas a Supervisor service:[buildout]
parts = tomcat

[tomcat]
recipe = birdhousebuilder.recipe.tomcat
http_port = 8080
Xms = 256m
Xmx = 2048m
MaxPermSize = 128mAuthorsCarsten Ehbrecht ehbrecht at dkrz.deChanges0.3.3 (2016-12-13)pep8updated MANIFEST.in: ignore tempfiles.python 3.5 test activated in travis.updated versions.cfg.0.3.2 (2016-08-19)added java user_prefs in setenv.sh0.3.1 (2016-07-26)configure logging.properties.0.3.0 (2016-07-25)using zc.recipe.deployment.cleaned up doctests.updated travis.0.2.9 (2016-01-07)fixed permissions of catalina-wrapper.sh.0.2.8 (2015-12-07)using latest supervisor recipe.0.2.7 (2015-10-20)added ncwms-password option for tomcat-users.xml0.2.6 (2015-10-19)add tomcat_home() and unzip() methods.0.2.5 (2015-08-04)using OpenJDK from conda package.setting JAVA_HOME in cataling wrapper.0.2.4 (2015-06-30)Java optionsXms,Xmx,MaxPermSizeare configurable.0.2.3 (2015-06-26)added user option.0.2.2 (2015-06-17)added content_root().using catalina-wrapper.sh script for supervisor.added optionhttp_port.0.2.1 (2015-02-24)installing in conda enviromentbirdhouse.using$ANACONDA_HOMEenvironment variable.separation of anaconda-home and installation prefix.0.1.4 (2014-12-06)Don’t update conda on buildout update.0.1.3 (2014-12-04)Update tomcat config.0.1.2 (2014-07-31)Update documentation.0.1.1 (2014-07-22)Configure tomcat-users.xml.0.1.0 (2014-07-10)Initial Release.
Package: birdhouse-toolbox
Birdhouse ToolboxDescriptionCommand line tools to automate various processes.Installationpipx install birdhouse-toolboxorpipenv install birdhouse-toolboxorpip install birdhouse-toolboxUsageWordpresscreate-postAdds a new post using the title and body provided, by duplicating the last published post.bht --url <site_url> wp create --title <title> --content <content> --slug <slug> --slug <slug> --category <category> --category <category>authenticateAuthenticates the username and password with the website, saves the credentials, and a JSON web token for future use. Will re-use saved credentials if none are provided.bht --url <site_url> wp auth --username <username> --password <password>
Package: birding
Overviewbirdingis an open source project to produce a stream of recenttwitteractivity based on a sequence of search terms, using onlytwitter’s public
APIs. It serves as both a standalone project and a demo of distributed
real-time computing withPythonusingStorm/streamparseandKafka/pykafka.Dependencies are fully automated; in a birding checkout, run with:make runSee the docs (below) for a full discussion of birding, including how to use
birding in an existing streamparse project.To discuss this project, join thestreamparse user group.DocumentationHEADStableInteractionGiven a checkout of birding, to run birding in place, seeDownloading and
running birding.Python SupportThe birding project uses Python 2.7 and will also support Python 3.4+ when
underlying dependencies support Python 3.
Package: birdisle
Maintainer wantedI've ended up not using birdisle and have no interest in maintaining it. If you
would like to take over as maintainer, please let me know by filing a ticket.birdisle-pyBirdisle (an anagram of "lib redis") is a modified version ofredisthat runs as a library inside another process. The
primary aim is to simplify unit testing by providing a way to run tests
against what appears to be a redis server, but without the hassle of starting a
separate process and ensuring that it is torn down correctly.Birdisle-py is Python bindings for Birdisle. Documentation can be found atreadthedocs.
Package: birdman
BIRDMAnBayesianInferentialRegression forDifferentialMicrobiomeAnalysis (BIRDMAn) is a framework for performing differential abundance analysis through Bayesian inference.See thedocumentationfor details on usage.For an example of running BIRDMAn - see thisGoogle Colab notebook.InstallationCurrently BIRDMAn requires Python 3.8 or higher.We recommend usingmambafor installation of dependencies.mambainstall-cconda-forgebiom-formatpatsyxarrayarvizcmdstanpy
pipinstallbirdman
Package: birdnetlib
birdnetlibA python api for BirdNET-Analyzer and BirdNET-Litebirdnetlibprovides a common interface for BirdNET-Analyzer and BirdNET-Lite.DocumentationDocumentation is athttps://joeweiss.github.io/birdnetlib.SeeGetting Startedfor a quick introduction.Installationbirdnetlibrequires Python 3.9+ and prior installation of Tensorflow Lite, librosa and ffmpeg. SeeBirdNET-Analyzerfor more details on installing the Tensorflow-related dependencies.pipinstallbirdnetlibBasic usageTo use the latest BirdNET-Analyzer model, use theAnalyzerclass.frombirdnetlibimportRecordingfrombirdnetlib.analyzerimportAnalyzerfromdatetimeimportdatetime# Load and initialize the BirdNET-Analyzer models.analyzer=Analyzer()recording=Recording(analyzer,"sample.mp3",lat=35.4244,lon=-120.7463,date=datetime(year=2022,month=5,day=10),# use date or week_48min_conf=0.25,)recording.analyze()print(recording.detections)recording.detectionscontains a list of detected species, along with time ranges and confidence value.[{'common_name':'House Finch','confidence':0.5744,'end_time':12.0,'scientific_name':'Haemorhous mexicanus','start_time':9.0,'label':'Haemorhous mexicanus_House Finch'},{'common_name':'House Finch','confidence':0.4496,'end_time':15.0,'scientific_name':'Haemorhous mexicanus','start_time':12.0,'label':'Haemorhous mexicanus_House Finch'}]TheRecordingclass takes a file path as an argument. You can also useRecordingFileObjectto analyze an in-memory object, orRecordingBufferfor handling an array buffer.About BirdNET-Lite and BirdNET-Analyzerbirdnetlibuses models provided by BirdNET-Lite and BirdNET-Analyzer under theCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License.BirdNET-Lite and BirdNET-Analyzer were developed by theK. Lisa Yang Center for Conservation Bioacousticsat theCornell Lab of Ornithology.For more information on BirdNET analyzers, please see the project repositories below:BirdNET-AnalyzerBirdNET-Litebirdnetlibis not associated with BirdNET-Lite, BirdNET-Analyzer or the K. Lisa Yang Center for Conservation Bioacoustics.Aboutbirdnetlibbirdnetlibis maintained by Joe Weiss. Contributions are welcome.Project GoalsEstablish a unified API for interacting with Tensorflow-based BirdNET analyzersEnable python-based test cases for BirdNET analyzersMake it easier to use BirdNET in python-based projectsMake it easier to migrate to new BirdNET versions/models as they become available
Package: bird-ospf-link-db-parser
Bird OSFP Link Database ParserParses the output of the BIRD Routing Daemon'sbirdc show ospf statecommand into a machine-readable JSON string.>birdcshowospfstate|parse-bird-link-db-|jq|less{"areas":{"0.0.0.0":{"routers":{"10.68.29.50":{"links":{"router":[{"id":"10.69.7.31","metric":10}],"stubnet":[{"id":"10.69.29.50/32","metric":0},{"id":"10.68.29.50/32","metric":0}],"external":[{"id":"10.70.174.0/24","metric":20}]}},"10.68.73.125":{"links":{"router":[{"id":"10.69.73.25","metric":10},{"id":"10.69.52.83","metric":30},{"id":"10.69.73.25","metric":30}],"stubnet":[{"id":"10.69.73.125/32","metric":0},{"id":"10.68.73.125/32","metric":0}]}},...}}}}Output FormatThe output format is detailed usingJSON Schemainsrc/bird_parser/output_schema.jsonUsagePre-requisites:python3available via the shellFirst, install the CLI via pip:pipinstallbird-ospf-link-db-parserthen invoke the tool with the CLI command:birdcshowospfstate|parse-bird-link-db-But you probably want to usejqandlessto make this output a bit more manageable:sudoaptupdate&&sudoaptinstalljqless
birdcshowospfstate|parse-bird-link-db-|jq|lessDev SetupPre-requisites:python3available via the shellSetup by cloning, creating a virtual env, and installing the applicationgitclonehttps://github.com/Andrew-Dickinson/bird-ospf-link-db-parsercdbird-ospf-link-db-parser
python3-mvenv.venvsource.venv/bin/activate
pipinstall-e.then invoke the tool with the CLI command:birdcshowospflinkstate>parse-bird-link-db-Running the unit testsFollow the instructions under "Dev Setup" above, to clone a local copy of this application and activate
the virtual environment. Then installing the test dependencies with:pipinstall-e".[test,dev]"Finally, invoke the test suite using pytest:pytest test/Building to PyPiFollow the instructions above to clone a local copy of this application, activate
the virtual environment, and run the tests.Then, build & upload the application withrm -rf dist/*
python -m build .
twine upload dist/*LicenseDistributed under the MIT License. SeeLICENSE.txtfor more information.ContributingContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make aregreatly appreciated.If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
Don't forget to give the project a star! Thanks again!Fork the ProjectCreate your Feature Branch (git checkout -b feature/AmazingFeature)Commit your Changes (git commit -m 'Add some AmazingFeature')Push to the Branch (git push origin feature/AmazingFeature)Open a Pull RequestAcknowledgmentsBest-README-Template
Package: birdpressure
TU Delft, CrashProofLab, Pressure due to Bird Strike
—Github Actions status:
[![pytest](https://github.com/saullocastro/birdpressure/actions/workflows/pytest.yml/badge.svg)](https://github.com/saullocastro/birdpressure/actions/workflows/pytest.yml)Coverage status:
[![codecov](https://codecov.io/gh/saullocastro/birdpressure/graph/badge.svg?token=1uZk1WqyMU)](https://codecov.io/gh/saullocastro/birdpressure)Analytical approaches to calculate the peak pressure generated in bird strikes.LicenseDistrubuted under the 3-Clause BSD license
(https://raw.github.com/saullocastro/birdpressure/master/LICENSE).Contact:jonas.bertholdt@gmail.comContact:S.G.P.Castro@tudelft.nl
Package: birdroid.aws-secure-bucket
AWS Secure BucketThis is a Simple S3 Secure Bucket.Bucket Access Control is PrivatePublic Read Access is falseEnforce SSLAll Block public accessRequire encryptionInstallTypeScriptnpminstall@birdroid/aws-secure-bucketoryarnadd@birdroid/aws-secure-bucketPythonpipinstallbirdroid.aws-secure-bucketExampleTypeScriptnpminstall@birdroid/aws-secure-bucketimport{SecureBucket}from'@birdroid/aws-secure-bucket';constbucket=newSecureBucket(stack,'SecureBucket',{bucketName:'example-secure-bucket',});
Package: birdrose
birdroseAdd a short description here!A longer description of your project goes here…Making Changes & ContributingThis project usespre-commit, please make sure to install it before making any
changes:pip install pre-commit
cd birdrose
pre-commit installIt is a good idea to update the hooks to the latest version:pre-commit autoupdateDon’t forget to tell your contributors to also install and use pre-commit.NoteThis project has been set up using PyScaffold 4.3.1. For details and usage
information on PyScaffold seehttps://pyscaffold.org/.
Package: birdseye
birdseye is a Python debugger which records the values of expressions in a
function call and lets you easily view them after the function exits.
For example:You can use birdseye no matter how you run or edit your code. Justpip install birdseye, add the@eyedecorator
as seen above, run your function however you like, and view the results in your browser.
It’s alsointegrated with some common toolsfor a smoother experience.You can try it outinstantlyonfuturecoder: enter your code in the editor on the left and click thebirdseyebutton to run. No imports or decorators required.Feature HighlightsRather than stepping through lines, move back and forth through loop
iterations and see how the values of selected expressions change:See which expressions raise exceptions, even if they’re suppressed:Expand concrete data structures and objects to see their contents.
Lengths and depths are limited to avoid an overload of data.Calls are organised into functions (which are organised into files) and
ordered by time, letting you see what happens at a glance:Read more documentationhere
Package: birds-eye-lib
birds-eyeA BizHawk external tool + python library, giving a (hopefully) convenient interface for pythonscripts to communicate with the BizHawk emulator.This is the first project I've made with the intent of others using it, so any kind of suggestionwould be incredibly helpful.Thank you :]This library is VERY bares bones at the moment, with only the current features available:Connecting to the external toolRetrieving memory data from the external toolSending controller inputs to be executed in the emulatorRetrieving the current framecountI plan on adding a lot more as I continue to use this library myself.This external tool was built using version 2.9.1 of BizHawk, however, all versions of 2.9.xshould work as intended.If you wish to develop the tool yourself, make sure to copy the contents of your BizHawk versionintoBizHawk/(you'll need to create the directory in the project).The file tree should match the example shown in theExternal Toolsection.SetupExternal ToolThe external tool can be found and downloaded in thebirds-eye github repository. (check releases)Move BirdsEye.dll to the ExternalTools directory in your BizHawk folder.It should look like this afterwords:BizHawk

+--ExternalTools

|  +--BirdsEye.dll

|  +--...

+--EmuHawk.exe

+--...If everything is correct, then you should be able to open up the external tool by running theemulator, then going to:Tools->External Tools->BirdsEyeInstalling the librarypip install birds-eye-libpython library docsCommunication ModesDetermines how the external tool communicates with the emulator and a connected python client.ManualThe external tool will not execute input states sent from a connected python client. User willstill have full control over the emulator using the external tool or the emulator itself. Thingsthat do not interfere with play, such as reading from memory, will still be functional.CommandeerThis mode will allow a connected python client to begin interacting with the emulator by sendingand receiving messages to and from the external tool.
Package: birdseye-mc
Bird's-Eyebirdseye_mcis a GUI application for providing a multi-user bird's-eye view of players on Minecraft servers that have theDynmapplugin installed.InstallationTo install, ensure your system haspython3andpython3-pip, then run:python3-mpipinstallbirdseye_mcUsageTo runbirdseye_mc, use:python3-mbirdseye_mc[dynmapurl]Full usage is as follows:usage: birdseye [-h] [-t] dynmap_url

A tool for watching players on multiplayer Minecraft servers

positional arguments:
  dynmap_url  URL to a dynmap server

optional arguments:
  -h, --help  show this help message and exit
  -t, --test  Show a testing playerScreenshots
Package: bird-tool-utils
A set of Python utilities used as part of the bird suite of bioinformatic tools,
developed by the Woodcroft research lab at the Centre for Microbiome Research at
the Queensland University of Technology. The classes and functions inside are
often heavily opinionated to reduce downstream coding effort and to standardise
UI. They may change without warning.Current utilities:SeqReader().readf[aq]- pure python generator function for reading FASTA / FASTQ filesBirdArgparser- opinionated way of presenting help messages - default help prints examples with colour,--full-helpshows a man page.--full-help-roffcan be used to generate HTML versions. Logging arguments are batteries included.table_rofffor generating ROFF format tables for use withBirdArgparserin_working_directoryandin_tempdirare context functions for temporary switching to a directoryiterable_chunksprovides chunking for iterables