Saravanan666/pypi-org huggingface dataset:
Package: edgerun-request-generator
Edge Run Request GeneratorThis project provides ready-to-use request generators that the Galileo project uses to generate workload
(specifically,faas-simandgalileo-experiments)The project is structured simply and offers multiple generators that produce inter-arrival times.
Currently supported RPS profiles:Constant - does what you'd expectSine - replicates a sine wave with a given peak (max rps) and period (simulation time in seconds between peaks)Randomwalk - creates a random walk patternRPS profiles yield a target average request per second pattern at a given time.RPS profiles can be decorated using arrival profiles to get a more realistic request pattern.
Following arrival profiles are supported:StaticExpovariateYou can save profiles using the helper functionsave_requestsandpre_recorded_profileto read a saved profile
(only necessary if you like to plot it afterwards again).InstallTo install dependencies and develop, run:make venvThis creates a virtual environment, activates it and installs all dependencies (requirements.txtandrequirements-dev.txt).If you like to run the notebooks (i.e., to generate request patterns and plot them comfortably):pip install -e .
jupyter notebookNote: you might have to restart the terminal session ifjupyter notebookfails.
Package: edgeseraser
Edges EraserDocumentation:https://devmessias.github.io/edgeseraserSource Code:https://github.com/devmessias/edgeseraserPyPI:https://pypi.org/project/edgeseraser/What is Edges Eraser?This pkg aims to implement serveral filtering methods for (un)directed graphs.Edge filtering methods allows to extract the backbone of a graph or sampling the most important edges. You can use edge filtering methods as a preprocessing step aiming to improve the performance/results of graph algorithms or to turn a graph visualtzation more asthetic.Exampleimportnetworkxasnximportedgeseraseraseeg=nx.erdos_renyi_graph(100,0.1)ee.noise_score.filter_nx_graph(g)g# filtered graphAvailable methods and detailsMethodDescriptionsuitable forlimitations/restrictions/detailsNoise ScoreFilters edges with high noise score. Paper:1Directed, Undirected, WeightedVery good and fast!4DisparityDirichlet process filter (stick-breaking) Paper:2Directed, Undirected, WeightedThere are some criticism regarding the use in undirected graphs3[Pólya-Urn]Filters edges with Pólya-Urn method. Paper:5Directed, Undirected, Integer WeightedInstallationpipinstalledgeseraserDevelopmentClone/Fork this repositorygitclonehttps://github.com/devmessias/edgeseraserRequirements:PoetryPython 3.7+makeinstall
makeinitTestingmaketestTo run the static analysis, use the following command:makemypyDocumentationThe documentation is automatically generated from the content of thedocs directoryand from the docstrings
of the public signatures of the source code. The documentation is updated and published as aGithub project pageautomatically as part each release.To see the current state of the documentation in your browser, use the following command:makedocs-serveThe above command will start a local server on port 8000. Any changes to
the documentation and docstrings will be automatically reflected in your browser.Pre-commitPre-commit hooks run all the auto-formatters (e.g.black,isort), linters (e.g.mypy,flake8), and other quality
checks to make sure the changeset is in good shape before a commit/push happens.If you want e.g. want to run all checks manually for all files:makepre-commit
Package: edges-estimate
Constrain foreground and 21 cm feature parameters with EDGES data.FeaturesUsesyabfas its Bayesian frameworkBothemcee-based andpolychord-based fits possibleRange of foreground models available (eg.LinLog,LogLog,PhysicalLin)Supports arbitrary hierarchical models, and parameter dependencies.InstallationYou should just be able to dopip install .in the top-level directory, with all
necessary dependencies automatically installed.
Package: edgetest
Bleeding edge dependency testingFull Documentationedgetestis atox-inspired python library that will loop through your project's dependencies, and check if your
project is compatible with the latest version of each dependency. It does this by:creating a virtual environment,installing your local package into the environment,upgrading specified dependency package(s), andrunning your test command.For example, if you depend onpandas>=0.25.1,<=1.0.0,edgetestwill test your project against the most current
pandas version (say1.3.4), so you know if you can safely update your dependency topandas>=0.25.1,<=1.3.4or not.edgetestworks with the following types of projects:pyproject.tomlsetup.cfgandrequirements.txtTable Of ContentsInstallGetting StartedOptionsPluginsContributingLicenseRoadmapInstallCreate acondaenvironment with Python 3.8+ and install from PyPI:$python-mpipinstalledgetestor conda-forge:$condainstall-cconda-forgeedgetestGetting Startededgetestallows multi-package, bleeding edge dependency testing. Suppose you have a package,mypackage, with
the followingrequirements.txt:pandas>=0.25.1,<=1.0.0
...edgetestallows you to test your package against the latest version ofpandas. If you run$edgetestthe package willCreate a virtual environment in the.edgetestfolder,Install the localmypackage:.edgetest/pandas/bin/python -m pip install .,Upgradepandas:.edgetest/pandas/bin/python -m pip install pandas --upgrade,Run.edgetest/pandas/bin/python -m pytest, andRepeat steps 1-4 for all packages inrequirements.txt.After you run the command, you should get console output similar to the following:============= =============== =================== =================
 Environment   Passing tests   Upgraded packages   Package version
------------- --------------- ------------------- -----------------
 pandas        True            pandas              1.3.4
============= =============== =================== =================OptionsSee theadvanced usagepage.PluginsCurrent plugins include:PluginDescriptionedgetest-condaUses conda or mamba for environment creation instead of venv.edgetest-hubCreates a pull request in your GitHub repository with the dependency updates.edgetest-pip-toolsRefreshes a locked requirements file based on the updated dependency pins.ContributingSee ourdeveloper documentation.We welcome and appreciate your contributions! Before we can accept any contributions, we ask that you please be sure to
sign theContributor License Agreement (CLA)This project adheres to theOpen Source Code of Conduct.
By participating, you are expected to honor this code.LicenseApache-2.0RoadmapRoadmap details can be foundhere.
Package: edgetest-conda
Conda edgetest pluginFull DocumentationTable Of ContentsInstallGetting StartedContributingLicenseInstallInstallation from PyPI:$python-mpipinstalledgetest-condaInstallation from conda-forge:$condainstall-cconda-forgeedgetest-condaNOTE: This plugin usesconda create ..., so you need to be in acondabase environment
or you must run$condainstallcondain your current environment.Getting StartedThis plugin allows users to create virtual environments usingcondainstead ofvenv.
With this plugin installed, you can also specify packages that you want to install viacondaas well as the python version for your environment(s):[edgetest.envs.myenv]conda_install=graphvizpython_version=3.10upgrade=myupgradeNOTE: The default python version is 3.10.ContributingSee ourdeveloper documentation.We welcome and appreciate your contributions! Before we can accept any contributions, we ask that you please be sure to
sign theContributor License Agreement (CLA)This project adheres to theOpen Source Code of Conduct.
By participating, you are expected to honor this code.LicenseApache-2.0
Package: edgetest-hub
Edgetest hub pluginFull DocumentationTable Of ContentsInstallGetting StartedContributingLicenseInstallInstallation from PyPI:$python-mpipinstalledgetest-hubInstallation from conda-forge:$condainstall-cconda-forgeedgetest-hubGetting StartedThis plugin useshubto enable automating Pull Requests from the results ofedgetest. This is intended to be used on Jenkins, but can be
used from any machine withgitandhubinstalled.To use this plugin, add anedgetest.hubsection to your configuration:[edgetest.hub]git_url=github.com# optionalgit_repo_org=org-namegit_repo_name=repo-namegit_username=Jenkins# optionalgit_useremail=noreply@capitalone.com# optionalupdater_branch=dep-updates# optionalpr_to_branch=develop# optionalpr_reviewers=fdosani# comma seperated github idsopen_issue_on_fail=True# True or False if you want an issue to be created when tests failensure you have an environment variableGITHUB_TOKENset. This token should have permissions to interact with the
GitHub repo in question.gitis installed.hubis installed. Seehere.That's it! the plugin will automatically be called after the tests finish.It will check forGITHUB_TOKENbefore continuing.The first step configuresgitand theupdater_branch.will delete theupdater_branchif it exists remotely or locally.Then commitssetup.cfgandrequirements.txtand submits a PR for review.ContributingSee ourdeveloper documentation.We welcome and appreciate your contributions! Before we can accept any contributions, we ask that you please be sure to
sign theContributor License Agreement (CLA)This project adheres to theOpen Source Code of Conduct.
By participating, you are expected to honor this code.LicenseApache-2.0
Package: edgetest-pip-tools
pip-tools integration for edgetestFull DocumentationTable Of ContentsInstallGetting StartedContributingLicenseInstallInstallation from PyPI:$python-mpipinstalledgetest-pip-toolsInstallation from conda-forge:$condainstall-cconda-forgeedgetest-pip-toolsGetting StartedThisedgetestplugin runs after the test execution. If the last environment successfully
passes, this plugin will refreshrequirements.txtusingpip-tools. To use this plugin,
you must use the--exportflag in your CLI call:$edgetest--configsetup.cfg--exportIf you want to specify a PyPI index supplyindex_urlin your configuration:[edgetest.pip_tools]index_url=...If you want to include extra installations in yourpip-toolscall (only available for PEP-517
compliant builds), add a newline-separated list of extras:[edgetest.pip_tools]extras=completeContributingSee ourdeveloper documentation.We welcome and appreciate your contributions! Before we can accept any contributions, we ask that you please be sure to
sign theContributor License Agreement (CLA)This project adheres to theOpen Source Code of Conduct.
By participating, you are expected to honor this code.LicenseApache-2.0
Package: edgex-access
# sp3 & edgex_access## sp3Access to AWS S3 using Python3S3 configuration for multiple S3 stores like minio, zenko, cloudian and nexentaedgeVery simple to use as a CLI`bash % sp3--copy-rmyhome://photos/cabo/aws3://photos/cabo``bash % sp3--delete-rmyhome://photos/cabo/`Please refer to [README_SP3.md](https://github.com/nacharya/edgex_access/blob/master/README_SP3.md) for details.## edgex_accessA Python3 connector library that uses the AWS S3 protocol to access data storageProvides a primary I/O library API that allows access to all platformsAccess to different Stores, Config, DataAccess and basic elements for I/O access
and object accessCore API Objects like
EdgexConfig, EdgexObject, EdgexDataAccess, EdgexAccess, EdgexHash
that hides the underlying implemention of S3 and other proprietary accessPlease refer to [README_EDGEX_ACCESS.md](https://github.com/nacharya/edgex_access/blob/master/README_EDGEX_ACCESS.md) for details.### Prerequisites & RequirementsYou need Python 3.5 or later to use edgex_access.  You can have multiple Python
versions (2.x and 3.x) installed on the same system without problems.In Ubuntu, you can install Python 3 like this:$ sudo apt-get install python3 python3-pipMake sure you have Python3 installed. Please check the requirement.txt for a list of Python packages
that should be pre-installed before edgex_access and s3p can be used.### Installation`bash % pip install edgex_access `### Coding StyleThe Hitchhiker’s Guide to Python [http://docs.python-guide.org/en/latest/writing/style/]## Authorsnexenta-Initial work- [edgex_pyconnector](https://github.com/Nexenta/edgex_pyconnector)## LicenseThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details## AcknowledgmentsThanks to dyusupov
Package: edgify
Model Personalization on EdgeImproving the performance of DL models for individual users by re-training on a user's data on the edge.QMNIST DatasetDivide the datset by the writer ID.pythonpreprocess/filter_by_user.py--download--dataset=trainpythonpreprocess/filter_by_user.py--download--dataset=testThe resulting user-specific datasets will be underdata/QMNIST/trainanddata/QMNIST/test.
The file naming convention isw-<witer_id>.pth.To load the dataset of a specific writer:importtorchfromtorch.utils.dataimportDataLoaderdataset=torch.load('data/QMNIST/train/w-<writer_id>.pth')dataloader=DataLoader(dataset)LicenseBSD 3-Clause License.
Package: edgy-lines
edgy-linesA Python 3 library for handling line segments and paths.Version: 0.0.1Author: ES AlexanderRelease Date: 24/02/2020Used to detect and analyse intersections (position and angle), find the distance between segments and from points to segments, and reduce a collection of lines by similarity. Intended for use in applications such as simplification of computer vision results (e.g. Hough Lines detected in an image), or in basic game development checking for polygon or bounding box intersections and/or proximity.UsageInstall via pip, usingpython3 -m pip install --upgrade edgy-lines.To import Edge class, usefrom edgy_lines.Edge2 import Edge.
Package: edhoc
py-edhoc:snake: --  Ephemeral Diffie-Hellman Over COSEThis project provides a Python implementation of the EDHOC key exchange protocol for constrained devices.
Currently the protocol is still indraftstatus at the IETF.The repository provides an implementation of:https://datatracker.ietf.org/doc/html/draft-ietf-lake-edhoc-01https://datatracker.ietf.org/doc/html/draft-ietf-lake-edhoc-02Installation$pipinstalledhocRunning the test suiteThepy-edhoctest suite is based on theofficial test vectorsprovided by the LAKE working group.To run the test suite you'll needpytest:$pipinstallpytestWhen you move to the root of thepy-edhocproject you can run the test by simply typing:$pytestSupported Cipher SuitesCipher SuitesCOSE algorithmsSupportSUITE 0(AES-CCM-16-64-128, SHA-256, X25519, EdDSA, Ed25519, AES-CCM-16-64-128, SHA-256):heavy_check_mark:SUITE 1(AES-CCM-16-128-128, SHA-256, X25519, EdDSA, Ed25519, AES-CCM-16-64-128, SHA-256):heavy_check_mark:SUITE 2(AES-CCM-16-64-128, SHA-256, P-256, ES256, P-256, AES-CCM-16-64-128, SHA-256):x:SUITE 3(AES-CCM-16-128-128, SHA-256, P-256, ES256, P-256, AES-CCM-16-64-128, SHA-256):x:Authentication MethodsMethodSupportSIGN-SIGN:heavy_check_mark:STATIC-SIGN:heavy_check_mark:SIGN-STATIC:heavy_check_mark:STATIC-STATIC:heavy_check_mark:CryptographyThe project depends on the pythoncosepackage.coseusespyca/cryptographyfor all cryptographic operations, except the deterministic ECDSA algorithm. For deterministic ECDSAcoseusespython-ecdsa.
Package: edhsmm
Warning:I made this repo when I was an undergrad, but was not even part of my undergrad project. Correctness of implementation not guaranteed, so use at your own risk.edhsmmAn(other) implementation of Explicit Duration Hidden Semi-Markov Models in Python 3The EM algorithm is based onYu (2010)(Section 3.1, 2.2.1 & 2.2.2), while the Viterbi algorithm is based onBenouareth et al. (2008).The code style is inspired fromhmmlearnandjvkersch/hsmmlearn.Implemented so farEM algorithmScoring (log-likelihood of observation under the model)Viterbi algorithmGenerate samplesSupport for multivariate Gaussian emissionsSupport for multiple observation sequencesSupport for multinomial (discrete) emissionsDependenciespython >= 3.5numpy >= 1.17scikit-learn >= 0.16scipy >= 0.19Installation & TutorialViapip:pip install edhsmmViasetup.py:python setup.py installTest invenv(Windows):python -m venv venvvenv\Scripts\activatepip install --upgrade -r requirements.txtpython setup.py installNote: Also runpip install notebook matplotlibto run the notebooks.For tutorial, see thenotebooks. This also serves as some sort of "documentation".Found a bug? Suggest a feature? Please post onissues.
Package: edi-835-parser
EDI 835 Parseredi-835-parser: a lightweight EDI 835 file parserThis package provides a simple-to-use Python interface to EDI 835 Health Care Claim Payment and Remittance Advice files.This package is made publicly available bySenscio Systems, the company behind theIbis Program, an industry leading healthcare initiative that helps people take control of their chronic condition management.Please consider taking two minutes togive feedback.InstallationBinary installers for the latest released version are at the Python Package Index. Please note that you need to run Python 3.9 or higher to install the edi-835-parser.pip install edi-835-parserUsageTo parse an EDI 835 file simply execute theparsefunction.fromedi_835_parserimportparsepath='~/Desktop/my_edi_file.txt'transaction_set=parse(path)Theparsefunction also works on a directory path.fromedi_835_parserimportparsepath='~/Desktop/my_directory_of_edi_files'transaction_sets=parse(path)In both cases,parsereturns an instance of theTransactionSetsclass.
This is the class you manipulate depending on your needs.
For example, say you want to work with the transaction sets data as apd.DataFrame.fromedi_835_parserimportparsepath='~/Desktop/my_directory_of_edi_files'transaction_sets=parse(path)data=transaction_sets.to_dataframe()And then save thatpd.DataFrameas a.csvfile.data.to_csv('~/Desktop/my_edi_file.csv')The complete set ofTransactionSetsfunctionality can be found by inspecting theTransactionSetsclass found atedi_parser/transaction_set/transaction_sets.pyTestsExample EDI 835 files can be found intests/test_edi_835/files. To run the tests usepytest.python -m pytestContributing to edi-835-parserAll contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.Not all EDI 835 elements and segments are currently parsable and not all EDI codes are mapped. If you are interested in
contributing to edi-835-parser, please feel free to fork the project and/or reach out by emailingedi835parser@gmail.com.AcknowledgementsA special thank you to Github usergizquier2for his interest in this project and continued feedback.
Package: ediclean
edicleanA Python package to strip non-standard text blocks from UN/EDIFACT messages.About The ProjectUN/EDIFACT files often contain headers and footers that are added by applications during their transport. Ediclean removes these non-standard blocks and formats the output to contain one segment per line.Installationpip3 install -U edicleanUsage$ediclean-h
usage:ediclean[-h][-sSOURCE_DIR][-tTARGET_DIR][filename]Stripnon-standardtextblocksfromUN/EDIFACTmessages.

positionalarguments:filenameFilecontainingUN/EDIFACTPAXLSTmessage

optionalarguments:-h,--helpshowthishelpmessageandexit-sSOURCE_DIR,--source_dirSOURCE_DIR-tTARGET_DIR,--target_dirTARGET_DIRExamplesClean single fileOriginal file$catediclean/tests/testfiles/original/A.txt
CICA.HDQCRA9130631UNA:+.?'UNB+UNOA:4+CICA-A9:A9+ABCAPIS:ZZ+210713:0631+2107130631++APIS'UNG+PAXLST+CICA-A9:ZZ+ABCAPIS:ZZ+210713:0631+1+UN+D:05B'UNH+PAX001+PAXLST:D:05B:UN:IATA+A92707/210713/1200+02'BGM+745'NAD+MS+++CICA HELP DESK'COM+2313843732:TE+123232344:FX'TDT+20+A92707'LOC+125+VIE'DTM+189:2107131100:201'LOC+87+VIE'DTM+232:2107131200:201'NAD+FL+++DJEMFISJER:REDJAE'ATT+2++M'DTM+329:930408'MEA+CT++:0'FTX+BAG+++NULL'LOC+22+VIE'LOC+178+TBS'LOC+179+VIE'NAT+2+ABC'RFF+AVF:ABC123'RFF+SEA:9F'DOC+P:110:111+3DEJ2ED3E'DTM+36:280907'LOC+91+LIM'CNT+42:47'UNT+159+PAX001'UNE+1+1'UNZ+1+2107130631'EmailsecuredbyUNAntivirusCleaned file$edicleanediclean/tests/testfiles/original/A.txtUNA:+.?'UNB+UNOA:4+CICA-A9:A9+ABCAPIS:ZZ+210713:0631+2107130631++APIS'UNG+PAXLST+CICA-A9:ZZ+ABCAPIS:ZZ+210713:0631+1+UN+D:05B'UNH+PAX001+PAXLST:D:05B:UN:IATA+A92707/210713/1200+02'BGM+745'NAD+MS+++CICA HELP DESK'COM+2313843732:TE+123232344:FX'TDT+20+A92707'LOC+125+VIE'DTM+189:2107131100:201'LOC+87+VIE'DTM+232:2107131200:201'NAD+FL+++DJEMFISJER:REDJAE'ATT+2++M'DTM+329:930408'MEA+CT++:0'FTX+BAG+++NULL'LOC+22+VIE'LOC+178+TBS'LOC+179+VIE'NAT+2+ABC'RFF+AVF:ABC123'RFF+SEA:9F'DOC+P:110:111+3DEJ2ED3E'DTM+36:280907'LOC+91+LIM'CNT+42:47'UNT+159+PAX001'UNE+1+1'UNZ+1+2107130631'Clean entire directory of files$mkdirtests/testfiles/output

$ediclean-stests/testfiles/original/-ttests/testfiles/output/
INFO:root:Cleanedtests/testfiles/output/A.txt
INFO:root:Cleanedtests/testfiles/output/B.txt
INFO:root:Cleanedtests/testfiles/output/C.txt
INFO:root:Cleanedtests/testfiles/output/D.txt
INFO:root:Cleanedtests/testfiles/output/E.txt
INFO:root:Cleanedtests/testfiles/output/F.txtCurrently supported message typesUN/EDIFACT PAXLST up tov. D rel. 21A (2021-06-10)LicenseDistributed under the MIT License. SeeLICENSEfor more information.
Package: edictreader
# Edict reader[EDICT2, JMdict](http://edrdg.org/jmdict/edict_doc.html) and [CEDICT](https://www.mdbg.net/chinese/dictionary?page=cedict) reader and searcher in dictionary format## Installation` pip install edictreader `## Future developmentsMake better theDict._eng_parser.Improve the speed ofJMdict.__init__(currently around 1 minute)
Package: edict-to-csv
edict-to-csv is a set of small command-line utilities for converting EDICT
dictionaries into delimited text (CSV). As with many Unix commands, these
programs simply read from the standard input and writes to the standard output.
Two programs are provided:cedict-to-csv(1)edict1-to-csv(1)edict1-to-csv converts dictionary entries from the original EDICT1 format used
by the JMdict/EDICT project. It does not handle the EDICT2 format or subsequent
XML-based formats.cedict-to-csv converts dictionary entries from the CEDICT project, as used by
CC-CEDICT. To use this program, you must have “pinyin-dec” software installed.
This will reformat Pinyin entries to use proper diacritics.CSV entries take the following format:FORM1|FORM2|TRANSLITERATION|DEFINITIONIn the case of EDICT, the second field is always empty. For CEDICT, the second
field contains the simplified Chinese form.The programs included are written as Unix-style command-line utilities. The
program modules are also completely accessible through Python so all program
functions can be easily called by other programs. The programs are written in
Python 3 and are being made available under the MIT License.Example UsageYou can convert the Japanese EDICT dictionary like this:$ cat edict.utf8 | edict1-to-csv > edict.csvIf it is compressed and in EUC-JP encoding, you may have to convert it:$ zcat edict.gz | iconv -f EUC-JP -t UTF-8 | edict1-to-csv > edict.csvYou can convert CC-CEDICT like this:$ cat cedict.txt | cedict-to-csv > cedict.csvIf you try to use this program without pinyin-dec installed, you will see:$ cat cedict.txt | cedict-to-csv > cedict.csv
cedict-to-csv: pinyin_dec not available!InstallationYou can install this software the old way with setup.py:# python3 setup.py installOr if you have pip installed, that is the better way.DocumentationThis software includes Unix manual pages, which are installed with the program
files. By typing “man cedict-to-csv” or “man edict1-to-csv”, you can review the
documentation for each program included here.