Saravanan666/pypi-org huggingface dataset:
Package: embiggen
Embiggen is the graph machine learning submodule of the🍇 GRAPElibrary.How to install EmbiggenTo install the complete GRAPE library, do run:pipinstallgrapeInstead, to exclusively install the Embiggen package, you can run:pipinstallembiggenCite GRAPEPlease cite the following paper if it was useful for your research:@misc{cappelletti2021grape,title={GRAPE: fast and scalable Graph Processing and Embedding},author={Luca Cappelletti and Tommaso Fontana and Elena Casiraghi and Vida Ravanmehr and Tiffany J. Callahan and Marcin P. Joachimiak and Christopher J. Mungall and Peter N. Robinson and Justin Reese and Giorgio Valentini},year={2021},eprint={2110.06196},archivePrefix={arXiv},primaryClass={cs.LG}}
Package: embl-tools-jl
embl-tools-jlCopyright (c) 2020, Dr. Nandor PokaDistributed under the terms of the 3-clause BSD License.An extension adding Launcher shortcuts to JupyterLab for EMBL Tools.This extension is composed of a Python package namedembl_tools_jlfor the server extension and a NPM package namedembl-tools-jlfor the frontend extension.PreviewRequirementsJupyterLab >= 2.0Scanning for the tools can take long and thus delay the startup of JupyterLab. It is recommended to put EMBL-Tools in the root of your regular work directory you use JupyterLab in. If the scan does not find the EMBL-Tools in the current Jupyter Lab working dir root, the extension will copy the supplied version for temporary use. This copy will be removed at the next startup.Quick InstallNote: You will need NodeJS to install the extension.pipinstallembl_tools_jl
jupyterlabbuildTroubleshootIf you are seeing the frontend extension but it is not working, check
that the server extension is enabled:jupyterserverextensionlistIf the server extension is installed and enabled but you are not seeing
the frontend, check the frontend is installed:jupyterlabextensionlistIf it is installed, try:jupyterlabclean
jupyterlabbuildContributingInstallThejlpmcommand is JupyterLab's pinned version ofyarnthat is installed with JupyterLab. You may useyarnornpmin lieu ofjlpmbelow.# Clone the repo to your local environment# Move to embl-tools-jl directory# Install server extensionpipinstall-e.# Register server extensionjupyterserverextensionenable--pyembl_tools_jl# Install dependenciesjlpm# Build Typescript sourcejlpmbuild# Link your development version of the extension with JupyterLabjupyterlabextensionlink.# Rebuild Typescript source after making changesjlpmbuild# Rebuild JupyterLab after making any changesjupyterlabbuildYou can watch the source directory and run JupyterLab in watch mode to watch for changes in the extension's source and automatically rebuild the extension and application.# Watch the source directory in another terminal tabjlpmwatch# Run jupyterlab in watch mode in one terminal tabjupyterlab--watchUninstallpipuninstallembl_tools_jl

jupyterlabextensionuninstallembl-tools-jl
Package: embodied
EmbodiedFast reinforcement learning research.OverviewThe goal of Embodied is to empower researchers to quickly implement new agents
at scale. Embodied achieves this by specifying an interface both for
environments and agents, allowing users to mix and match agents, envs, and
evaluation protocols. Embodied provides common building blocks that users are
encouraged to fork when more control is needed. The only dependency is Numpy
and agents can be implemented in any framework.Packagesembodied/
  core/    # Config, logging, checkpointing, simulation, wrappers
  run/     # Evaluation protocols that combine agents and environments
  envs/    # Environment suites such as Gym, Atari, DMC, Crafter
  agents/  # Agent implementationsAgent APIclassAgent:__init__(obs_space,act_space,config)policy(obs,state=None,mode='train')->act,statetrain(data,state=None)->state,metricsreport(data)->metricsdataset(generator)->generatorinit_policy(batch_size)->stateinit_train(batch_size)->stateEnv APIclassEnv:__len__()->int@obs_space->dictofspaces@act_space->dictofspacesstep(action)->obsdictrender()->arrayclose()
Package: embodier
Dynamic Avatar Generator  [API]This library will help you to generate profile image for newly registered user on your application, like GitHub create profile picture for new users E.g.Generated imagesUsageimportembodier# Initialize image generatorobj=embodier.AvatarGenerator()# To Generate block imageimg=obj.BlockAvatar()img.show()# To Generate text imageimg=obj.TextAvatar('PP')img.show()AdvanceBlockAvatar generate bit block imageobj.BlockAvatar(row_columns,pixel_size,background_color)@row_columnsInteger, block size of row and columns, default5@pixel_sizeInteger, pixel size, default300@background_colorString, background color of blocks in image, defaultlightgrey@borderBoolean,Trueto add border to image,Falseto without border image, defaultTrueTextAvatar generate text imageobj.TextAvatar(text,background_color)@textString, Text to print on image@background_colorString, background color of image, defaultrandom colorExport optionsimg.show()to open generated imageimg.save('image.png')to save image with image nameobj.toBase64(img)to get Base64 value of generated image
Package: embody
embodyGenerate templated objectsDocumentation here.To install:pip install embodyExamples>>>fromembody.templaterimportTemplater>>># the following template has templated dicts, strings, and lists>>>template={...'hello':'{name}',...'how are you':['{verb}',2,'{name}and{verb}again']...}>>>g=Templater.template_func(template=template)>>>g(name='NAME',verb="VERB"){'hello':'NAME','how are you':['VERB',2,'NAME and VERB again']}>>>str(g.__signature__)'(*, name, verb)'
Package: embody-ble
Embody BLEFeaturesConnects to an EmBody device over BLE (Bluetooth) usingBleakUses the EmBody protocol to communicate with the deviceIntegrates withthe EmBody Protocol CodecprojectAsynchronous send without having to wait for responseSynchronous send where response message is returnedProvides callback interfaces for incoming messages, response messages and connect/disconnectFacade method to send/receive BLE messages directlyAll methods and callbacks are threadsafeSeparate threads for send, receive and callback processingType safe code usingmypyfor type checkingHigh level callback interface for attribute reportingRequirementsPython 3.9-3.11Access to private Aidee Health repositories on GithubInstallationYou can installEmbody BLEviapip:$pipinstallembody-bleThis addsembody-bleas a library, but also provides the CLI application with the same name.UsageA very basic example where you send a message request and get a response:fromembodyble.embodybleimportEmbodyBlefromembodyserial.helpersimportEmbodySendHelperembody_ble=EmbodyBle()send_helper=EmbodySendHelper(sender=embody_ble)embody_ble.connect()print(f"Serial no:{send_helper.get_serial_no()}")embody_ble.shutdown()If you want to see more of what happens under the hood, activate debug logging before setting upEmbodyBle:importlogginglogging.basicConfig(level=logging.DEBUG)Using the application from the command lineThe application also provides a CLI application that is automatically added to the path when installing via pip.Once installed with pip, type:embody-ble --helpTo see which options are available.NoteThe serial port is automatically detected, but can be overridden by using the--deviceoption.Example - Attribute reportingTo see how attribute reporting can be configured, have a look at the example inexamples/reporting_example.pyYou can also test attribute reporting using the cli:embody-ble--log-levelINFO--report-attributebattery_level--report-interval1embody-ble--log-levelINFO--report-attributeheart_rate--report-interval1000Example - List all available EmBody devicesembody-ble--list-devicesExample - List all attribute valuesembody-ble--get-allExample - Get serial no of deviceembody-ble--getserialnoExample - List files over serial portembody-ble--list-filesExample - Set time current time (UTC)embody-ble--set-timeTroubleshootingNo known issues registered.ContributingContributions are very welcome.
To learn more, see theContributor Guide.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.
Package: embody-codec
EmBody protocol codecThis is a Python based implementation library for the Aidee EmBody communication protocol.FeaturesEncode protocol messages to binary data (bytes)Decode binary data to protocol messagesAccessory codeRequirementsThis library does not require any external librariesRequires Python 3.7+Installing package with pip from githubYou can installembody codecviapipfromPyPI:pip install embody-codecContributingContributions are very welcome. To learn more, see theContributor Guide.LicenseDistributed under the terms of theMIT license.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was originally generated from@cjolowicz'sHypermodern Python Cookiecuttertemplate.
Package: embody-file
Embody FileThis is a Python based implementation for parsing binary files from the Aidee EmBody device.FeaturesConverts binary embody files to HDF, CSV, etcIntegrates withthe EmBody Protocol CodecprojectCLI (command line interface)Can be used as package in other projectsType safe code usingmypyfor type checkingRequirementsPython 3.8-3.10InstallationYou can installEmbody Fileviapip:$pipinstallembody-fileUsageTo use the command line, first install this library either globally or using venv:$pipinstallembody-fileWhen this library has been installed, a new command is available,embody-filewhich can be used according to the examples below:Get helpTo get an updated overview of all command line options:embody-file--helpPrint version numberembody-file--versionConvert binary embody file to HDFTo convert to aHDF 5 (hierarcical data format)format, run the following:embody-filetestfiles/v5_0_0_test_file.log--output-formatHDFThe file will be named the same as the input file, with the.hdfextension at the end of the file name.Convert binary embody file to CSVTo convert to CSV format, run the following:embody-filetestfiles/v5_0_0_test_file.log--output-formatCSVThe file will be named the same as the input file, with the.csvextension at the end of the file name.Print statistics for binary embody fileTo print stats without conversion:embody-filetestfiles/v5_0_0_test_file.log--print-statsFail on parse errorsThe parser is lenient by default, accepting errors in the input file. If you want to the parsing to fail on any errors, use the--strictflag:embody-filetestfiles/v5_0_0_test_file.log--strictPlot binary file in graphTo show an ECG/PPG plot graph:embody-filetestfiles/v5_0_0_test_file.log--plotTroubleshootingI get an error in the middle of the file - how do I start finding the root cause?To get the best overview, start by running the parser in strict mode and with debug logging, so it stops at the first error:embody-filetroublesomefile.log--strict--log-levelDEBUGThis provides positional information per message so it's easier to continue searching for errors.If this doesn't give us enough information, look at the protocol documentation and start looking and the problematic areas in the input file.There are several command line tools you can use. On MAC and Linux, one good example is to use thehexdumptool:hexdump-C-n70-s0troublesomefile.logHere,-n 70is the amount of bytes to print in hex format, and-s 0tells hexdump to start at position 0 in the file. Adjust these parameters according to your needs.Make a note from the parser's error output of what position the first error started from, and based on that:Look at the preceding bytes to see whether there were any errors in the previous protocol messageLook at the bytes from the reported (error) position to see if there are just a few bytes before a new, plausible protocol message startsContributingContributions are very welcome.
To learn more, see theContributor Guide.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.
Package: embody-serial
Embody SerialFeaturesConnects to an EmBody device over the serial portUses the EmBody protocol to communicate with the deviceIntegrates withthe EmBody Protocol CodecprojectAsynchronous send without having to wait for responseSynchronous send where response message is returnedSend facade for protocol agnostic communication with deviceProvides callback interfaces for incoming messages, response messages and connect/disconnectAll methods and callbacks are threadsafeSeparate threads for send, receive and callback processingType safe code usingmypyfor type checkingRequirementsPython 3.9 or newerAccess to private Aidee Health repositories on GithubInstallationYou can installEmbody Serialviapip:$pipinstallembody-serialThis addsembody-serialas a library, but also provides the CLI application with the same name.UsageA very basic example where you send a message request and get a response:fromembodyserial.embodyserialimportEmbodySerialfromembodyserial.helpersimportEmbodySendHelperembody_serial=EmbodySerial()send_helper=EmbodySendHelper(sender=embody_serial)print(f"Serial no:{send_helper.get_serial_no()}")embody_serial.shutdown()If you want to see more of what happens under the hood, activate debug logging before setting upEmbodySerial:importlogginglogging.basicConfig(level=logging.DEBUG)Using the application from the command lineThe application also provides a CLI application that is automatically added to the path when installing via pip.Once installed with pip, type:embody-serial --helpTo see which options are available.NoteThe serial port is automatically detected, but can be overridden by using the--deviceoption.Example - List all attribute valuesembody-serial--get-allExample - Get serial no of deviceembody-serial--getserialnoExample - List files over serial portembody-serial--list-filesExample - Set time current time (UTC)embody-serial--set-timeExample - Download filesembody-serial--download-filesContributingContributions are very welcome.
To learn more, see theContributor Guide.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.TroubleshootingI get an error message saying 'no module named serial' or similarThis is a known issue and is usually caused by one of two things.Ensure you haven't installedserialorjserialEmbody-serial uses thepyseriallibrary. Runpip listto see if either theserialorjseriallibrary is installed. If they are, remove them withpip uninstall serial.Problems with pyserialSometimes, for whatever reason, it is necessary to re-install pyserial. Perform apip uninstall pyserialand thenpip install pyserialto see if this helps.
Package: emb-opt
emb_optemb_optuses reinforcement learning and hill climbing algorithms to
efficiently find high scoring items in embedding spaces, such as vector
databases or generative model latent spaces.See thedocumentationsite
for documentation and tutorialsInstallpipinstallemb_optSupported Backendsemb_optcurrently supportsFaiss,HuggingFaceandQdrantbackends
Package: emborg
Author:Ken KundertVersion:1.38Released:2023-11-04Emborgis a simple command line utility to orchestrate backups. It is built as
a front-end to Borg, a powerful and fast deduplicating backup program.  WithEmborg, you specify all the details about your backups once in advance, and
then use a very simple command line interface for your day-to-day activities.Use ofEmborgdoes not preclude the use of Borg directly on the same
repository.  The philosophy ofEmborgis to provide commands that you would
use often and in an interactive manner with the expectation that you would use
Borg directly for the remaining commands.Getting HelpYou can find the documentation onReadTheDocs.Thehelpcommand provides information on how to use Avendesora’s various
features.  To get a listing of the topics available, use:emborg helpThen, for information on a specific topic use:emborg help <topic>It is worth browsing all of the available topics at least once to get a sense of
all thatEmborgcan do.
Package: embox
emboxFundamentals of Electromagnetic with PythonInstall>pipsearchembox
>pipinstallemboxDeveloperTestingemboxis tested by using thepytestpackage, and the test coverage is checked by using thecoveragepackage.A.coveragercconfig file is created and located in theemboxpackage root dir. This config file stores the sub commandsrunandreportofcoverage.Run the following command to test coveragecoveragerun-mpytestRun the following command to show the test coverage reportcoveragereport
Package: embree
python-embreeThis library is a thin wrapper around Embree 3.As much as possible, it tries to emulate the C API usage. The main
point of this is to avoid creating a new API which would obfuscate the
usage of the C API. Ideally, it should be easy to read the Embree
documentation or examples, and translate things straightforwardly to
equivalent Python code.A secondary goal is to provide easy interoperability with numpy.NOTE:very little of the library is wrapped so far, but this
library is being developed in a way that should make it as easy as
possible to wrap more functionality as necessary. If you find that a
function that you'd like to use isn't wrapped, please create an issue
or feel free to wrap it on your own and submit a pull request.InstallationWindowsIf you install Embree using the MSI from Embree's website, the Embree
binaries, headers, and libraries will all be installed toC:\Program Files\Intel\Embree3by default.As an example, to compile using MSYS2 from the MinGW 64-bit console,
aftercding to the root directory of this repository, it should be
possible to run:$ python setup.py build_ext -I/c/Program\ Files/Intel/Embree3/include -L /c/Program\ Files/Intel/Embree3/lib
$ python setup.py installto successfully compile and install python-embree.Tips and tricksRetain and releaseThe underlying Embree library uses reference counting to properly
clean up resources used by the different types it provides
(RTCDevice,RTCScene, etc.). This means that each type exposes a
pair of "retain" and "release" functions: e.g.,rtcRetainDevice, andrtcReleaseDevice. How to use these correctly is spelled out in theEmbree API docsand themany
Embree tutorials. Please
consult these when usingpython-embree. The
classes providing a lightweight object-oriented wrapper around
Embree's typesdo not call any retain or release functions behind the
scenes: this is the user's responsibility.ParallelismUsingmultiprocessingfor concurrency in Python requires objects that are put into queues to
be serialized usingpickle. Unfortunately,
it is not currently possible to serialize the Embree data structures
(see the Embree repository's issues#137and#238), and there do not
appear to be plans to support this feature. The rationale for not
supporting this feature is that building the Embree BVH from scratch
is usually faster than reading the equivalent amount of data from
disk.This means that you will not be able to use any of the extensions
classes exported byembree.pyx(such asembree.Device,embree.Scene, etc.) with multiprocessingdirectly. To get around this problem, a simple fix is to wrap a bit
of Embree functionality in a Python class with its own__reduce__method. For an example, see the implementation ofTrimeshShapeModelhere.
Package: embreex
embreeXA fork ofscopatz/pyembreethat is configured to
build wheels for Intel Mac, Windows, and Linux for Python 3.6 and newer. The name change
is to avoid confusion with the other forks and install methods available.The goal is to meet the upstreamtrimesh[easy]preferences for dependencies,
which are: "easyrequirements should install without compiling anything on
Windows/Linux/Intel Mac for Python 3.6+ and have minimal dependencies."InstallThe main goal of this fork is to provide wheels for the original project:# will install an embree binding with only numpy as a dependency
pip install embreexAlternativesThe original project isavailable on conda-forgefor many versons of Python. For wheel-based options currently on PyPi there are:https://pypi.org/project/pyembree/https://github.com/adam-grant-hendry/pyembreeCurrently set up with cibuildwheel as of writing with released wheels for Mac/Windows/Linux on Python 3.8https://pypi.org/project/embree/A re-write to simplify the binding.Wheels building.
Package: embryoseg
EmbryoSegSegmentation tool for multiple touching mouse embryo cellsInstallationThis package can be installed bypip install --user embryosegIf you are building this from the source, clone the repository and install viagitclonehttps://github.com/kapoorlab/embryoseg/cdembryoseg

pipinstall--user-e.# or, to install in editable mode AND grab all of the developer tools# (this is required if you want to contribute code back to NapaTrackMater)pipinstall--user-rrequirements.txtPipenv installPipenv allows you to install dependencies in a virtual environment.# install pipenv if you don't already have it installedpipinstall--userpipenv# clone the repository and sync the dependenciesgitclonehttps://github.com/kapoorlab/embryoseg/cdembryoseg
pipenvsync# make the current package availablepipenvrunpythonsetup.pydevelop# you can run the example notebooks by starting the jupyter notebook inside the virtual envpipenvrunjupyternotebookAccess theexamplefolder and run the cells.AlgorithmExampleRequirementsPython 3.7 and above.LicenseUnder MIT license. SeeLICENSE.AuthorsVarun Kapoorrandomaccessiblekapoor@gmail.comLeo Guginard
Package: embuild
embuildEmbuild is a tool for C/CMake static library management.Check outthis websitefor more details about available public libraries!InstallationPrerequirements:gitcmakeninja buildInstallembuild:pip install -U embuildUsageList available public librariespython -m embuild listCreate a projectpython -m embuild create <PROJECT-NAME>This creates:<PROJECT-NAME>directoryCMakeLists.txtwith a<PROJECT-NAME>library declarationsourcesubdirectory with<PROJECT-NAME>.h/.cfiles andCMakeLists.txtfileproject.jsonembuild project fileInitialize current directorypython -m embuild initThis creates:project.jsonembuild project fileAdd librariespython -m embuild add <LIB-1> .. <LIB-N>This:updatesproject.jsonwith mentioned librariescreates a library subdirectorydownloads relevant libraries and updates present ones(re)generates theCMakeLists.txtin the subdirectoryUpdate librariespython -m embuild updateThis:downloads/updates libraries according to currentproject.jsonlibrariescontentremoves old libraries(re)generates theCMakeLists.txtin the subdirectoryRun scriptspython -m embuild run <SCRIPT_NAME> {OPTIONAL PARAMS ...}This:runs a script (with optional parameters) defined as a dictionary inproject.jsonscriptscontentLibrary nameThe library has three ways to be named:<library-name>(e.g.event-handler) - short name<user-name>/<library-name>(e.g.grzegorz-grzeda/cli) - long name<protocol>:<git-repository>/<library-name>- full name1. Short nameThis name is looked up in theembuild repositoryrepository.jsonfile.2. Long nameThis name is looked up in the GitHub service. The path ishttps://github.com/<user-name>/<repo-name>.git.
This is a good fit for aprivate libraryif hosted on GitHub and the current computer is configured to establish a SSH connection,3. Full nameThis name is treated as a path to a custom git repository. This is a best fit for aprivate library. The actual name of the library in question is the last part of the repository path name.CopyrightCreated by Grzegorz Grzęda. Distributed under MIT license