Saravanan666/pypi-org huggingface dataset:
Package: automation-helper
automation_helperautomation_helper is a Python library that speeds up automation.InstallationUse the package managerpipto install automation_helper.pipinstallautomation-helperGet startedHow to use this lib:fromhelper.kpiimportKPIfromhelper.configimportConfigINIfromhelper.configimportConfigJSONfromhelper.db_connectorimportDBConnectorfromhelper.reports_utilsimportreports_utilsfromhelper.loggerimportLoggerlog=Logger("logs","logs.log")log.info("------------- Start Process -------------")
Package: automation-mgd
# requirements_dev.txt we use for the testing
It makes it easier to install and manage dependencies for development and testing, separate from the dependencies required for production.# difference between requirements_dev.txt and requirements.txtrequirements.txt is used to specify the dependencies required to run the production code of a Python project, while requirements_dev.txt is used to specify the dependencies required for development and testing purposes.# tox.ini
We use if for the testing in the python package testing against different version of the python## how tox works tox enviornment creation
1. Install depedencies and packages
2. Run commands
3. Its a combination of the (virtualenvwrapper and makefile)
4. It creates a .tox# pyproject.toml
it is being used for configuration the python project it is a alternative of the setup.cfg file. its containts configuration related to the build system
such as the build tool used package name version author license and dependencies# setup.cfg
In summary, setup.cfg is used by setuptools to configure the packaging and installation of a Python projec# Testing python applicationtypes of testing1. Automated testing
2. Manual testingMode of testing1. Unit testing
2. Integration testsTesting frameworkspytestunittestrobotframeworkseleniumbehavedoctest# check with the code style formatting and syntax(coding standard)pylintflake8(it is best because it containt 3 library pylint pycodestyle mccabe)pycodestyle
Package: automation-report
automation-reportPython package to generate HTML report of your automation or test cases with:Supports multiple test cases and its steps with valid statusWell displayed chart according to the test resultsDynamic HTML Report contents, user allowed to modify accordinglyInstallation$ pip install automation-reportCode ExampleImporting package :from automation_report.report import AutomationReportPassing optional 'options' dictionary as parament with following keysLogoImage: Provide URL of the imageMainHeader: When header text is to be used instead of logoFooterContent: Provide HTML content to add on the footer sectionoptions = {}
#options["LogoImage"] = "logo.png"
options["MainHeader"] = "Automation Report"
options["FooterContent"] = "<a href='#'> Footer link </a>"Create new object for your first test with Report name and optional "options" dictionarynew_report = AutomationReport("Login Test", options)Usestarttest()method to start a new case with its name given as parameternew_report.starttest("CASE 0001: Login to the system")Populate the various steps status with info(), success(), fail() methods for particular casenew_report.info("Entered email in email field")
new_report.success("Login Successfully:")End above started casenew_report.endtest()Create yet another case as followingnew_report.starttest("CASE 0002: Logout User")
new_report.info("User is logged in")
new_report.success("Logout link is present")
new_report.fail("User not logged out")
new_report.endtest()Use close method to finally complete whole report generationnew_report.close()Screenshots of report of above code:
Package: automation-test
Getting Started with APIMATIC CalculatorIntroductionSimple calculator API hosted on APIMATIC - townhall demoInstall the PackageThe package is compatible with Python versions2 >=2.7.9and3 >=3.4.
Install the package from PyPi using the following pip command:pipinstallautomation-test==1.25You can also view the package at:https://pypi.python.org/pypi/automation-testTest the SDKYou can test the generated SDK and the server with test cases.unittestis used as the testing framework andnoseis used as the test runner. You can run the tests as follows:Navigate to the root directory of the SDK and run the following commandspip install -r test-requirements.txt
nosetestsInitialize the API ClientNote:Documentation for the client can be foundhere.The following parameters are configurable for the API Client:ParameterTypeDescriptionenvironmentEnvironmentThe API environment.Default:Environment.PRODUCTIONtimeoutfloatThe value to use for connection timeout.Default: 60max_retriesintThe number of times to retry an endpoint call if it fails.Default: 0backoff_factorfloatA backoff factor to apply between attempts after the second try.Default: 2retry_statusesArray of intThe http statuses on which retry is to be done.Default: [408, 413, 429, 500, 502, 503, 504, 521, 522, 524]retry_methodsArray of stringThe http methods on which retry is to be done.Default: ['GET', 'PUT']The API client can be initialized as follows:fromapimaticcalculator.apimaticcalculator_clientimportApimaticcalculatorClientfromapimaticcalculator.configurationimportEnvironmentclient=ApimaticcalculatorClient(environment=Environment.PRODUCTION,)List of APIsSimple CalculatorClasses DocumentationUtility ClassesHttpResponseHttpRequest
Package: automation-test-no-submodules-python-sdk
automation-test-no-submodules-python-sdkSDKs (no submodules) to test automation workflows.Table of ContentsRequirementsInstallingGetting StartedAsyncRaw HTTP ResponseReferenceautomationtestnosubmodules.greetings.helloRequirementsPython >=3.7Installingpipinstallautomation-test-no-submodules-python-sdk==1.0.2Getting Startedfrompprintimportpprintfromautomation_test_no_submodulesimportAutomationTestNoSubmodules,ApiExceptionautomationtestnosubmodules=AutomationTestNoSubmodules()try:# Get a simple greetinghello_response=automationtestnosubmodules.greetings.hello()print(hello_response)exceptApiExceptionase:print("Exception when calling GreetingsApi.hello:%s\n"%e)pprint(e.body)pprint(e.headers)pprint(e.status)pprint(e.reason)pprint(e.round_trip_time)Asyncasyncsupport is available by prependingato any method.importasynciofrompprintimportpprintfromautomation_test_no_submodulesimportAutomationTestNoSubmodules,ApiExceptionautomationtestnosubmodules=AutomationTestNoSubmodules()asyncdefmain():try:# Get a simple greetinghello_response=awaitautomationtestnosubmodules.greetings.ahello()print(hello_response)exceptApiExceptionase:print("Exception when calling GreetingsApi.hello:%s\n"%e)pprint(e.body)pprint(e.headers)pprint(e.status)pprint(e.reason)pprint(e.round_trip_time)asyncio.run(main())Raw HTTP ResponseTo access raw HTTP response values, use the.rawnamespace.frompprintimportpprintfromautomation_test_no_submodulesimportAutomationTestNoSubmodules,ApiExceptionautomationtestnosubmodules=AutomationTestNoSubmodules()try:# Get a simple greetinghello_response=automationtestnosubmodules.greetings.raw.hello()pprint(hello_response.body)pprint(hello_response.body["message"])pprint(hello_response.headers)pprint(hello_response.status)pprint(hello_response.round_trip_time)exceptApiExceptionase:print("Exception when calling GreetingsApi.hello:%s\n"%e)pprint(e.body)pprint(e.headers)pprint(e.status)pprint(e.reason)pprint(e.round_trip_time)Referenceautomationtestnosubmodules.greetings.helloGet a simple greeting🛠️ Usagehello_response=automationtestnosubmodules.greetings.hello()🔄 ReturnHelloResponse🌐 Endpoint/helloget🔙Back to Table of ContentsAuthorThis Python package is automatically generated byKonfig
Package: automation-test-with-submodule-python-sdk
automation-test-with-submodule-python-sdkSDKs (no submodules) to test automation workflows.RequirementsPython >=3.7Installingpipinstallautomation-test-with-submodule-python-sdk==1.0.3Getting Startedfrompprintimportpprintfromautomation_test_with_submoduleimportAutomationTestWithSubmodule,ApiExceptionautomationtestwithsubmodule=AutomationTestWithSubmodule()try:# Get a simple greeting!!!hello_response=automationtestwithsubmodule.greetings.hello()pprint(hello_response.body)pprint(hello_response.body["message"])pprint(hello_response.headers)pprint(hello_response.status)pprint(hello_response.round_trip_time)exceptApiExceptionase:print("Exception when calling GreetingsApi.hello:%s\n"%e)pprint(e.body)pprint(e.headers)pprint(e.status)pprint(e.reason)pprint(e.round_trip_time)Asyncasyncsupport is available by prependingato any method.importasynciofrompprintimportpprintfromautomation_test_with_submoduleimportAutomationTestWithSubmodule,ApiExceptionautomationtestwithsubmodule=AutomationTestWithSubmodule()asyncdefmain():try:# Get a simple greeting!!!hello_response=awaitautomationtestwithsubmodule.greetings.ahello()pprint(hello_response.body)pprint(hello_response.body["message"])pprint(hello_response.headers)pprint(hello_response.status)pprint(hello_response.round_trip_time)exceptApiExceptionase:print("Exception when calling GreetingsApi.hello:%s\n"%e)pprint(e.body)pprint(e.headers)pprint(e.status)pprint(e.reason)pprint(e.round_trip_time)asyncio.run(main())Documentation for API EndpointsAll URIs are relative tohttp://google.comTagMethodHTTP requestDescriptionGreetingshelloGET/helloGet a simple greeting!!!AuthorThis Python package is automatically generated byKonfig
Package: automation-tracker
Automation TrackerUse this package to quickly track your automation projects and usage. It has been developed to ensure easy and
seamless integration with any third party automation tool.Documentation:https://automation-tracker.readthedocs.io/en/latest/for more information.Examples of How To Use it on your Robot FrameworkSetup Robot Framework*** Settings ***LibraryAutomationTrackerUsage of the library in Robot Framework*** Test Cases ***ExampleStart Tracker${PROJECT_NAME}    ${PROJECT_VERSION}    ${PROJECT_DESCRIPTION}    ${PROJECT_URL}    ${PROJECT_EMAIL}Start Suite${SUITE_NAME}    ${SUITE_DOCUMENTATION}Start Test${TEST_NAME}    ${TEST_DOCUMENTATION}Start Keyword${KEYWORD_NAME}    ${KEYWORD_DOCUMENTATION}End KeywordEnd TestEnd SuiteEnd TrackerExamples of How To Use it on your Python#import the DB tracker and use functions from itfromRobotTracker.TrackerDBimport*#invoke the trackerTrackerDB("https://your_ip_or_domain").manually_start_tracker_detailed("POS","justus","UAT","CRQ-1234","Q-OPS","testType","API","200","100","50","150","0","0","0","0","0","0","0","100","100","0","200","TEST-1234")Using a listener to listen to your code runs and track the testcase runsSetup the robot framework listener*** Settings ***LibraryAutomationTrackerSuite SetupStart Tracker${PROJECT_NAME}    ${PROJECT_VERSION}    ${PROJECT_DESCRIPTION}    ${PROJECT_URL}    ${PROJECT_EMAIL}Suite TeardownEnd TrackerTest SetupStart Test${TEST_NAME}    ${TEST_DOCUMENTATION}Test TeardownEnd TestCreate a folder in your directory Tracking and create file Justus_Shared.robot eg:below is an example image of how the file should look likeCopy the below code into the file Justus_Shared.robot*** Settings ***DocumentationThis example demonstrates how to use current library and test status in a listener.LibraryListenerLibrary#import another python fileLibrary../Functions/tracker.py*** Keywords ***Listener Keyword[Arguments]    ${projectName}    ${userName}    ${crqReference}    ${uniqueRunRef}Log To ConsoleThis line is always executed,${TEST NAME}:${TEST STATUS}# https://robotframework.org/robotframework/latest/RobotFrameworkUserGuide.html#automatic-variables#send request to track testcasetracker.Track Test Case${TEST NAME}    ${TEST STATUS}    ${projectName}    ${userName}    ${crqReference}    ${uniqueRunRef}IF"${TEST STATUS}" == "FAIL"Log To Console**********This line is only executed when the test failed.**********Another KeywordENDAnother KeywordLog To ConsoleThis keyword only gets called by the listner when the test failed.Teardown KeywordLog To ConsoleThe teardown is called after the Listener Keyword,${TEST NAME}:${TEST STATUS}IF"${TEST STATUS}" == "FAIL"Yet Another KeywordENDYet Another KeywordLog To ConsoleThis keyword only gets called by the teardown when the test failed.Create 'tracker.py' inside your Functions folder and copy the below code into itPlease contact mwangijustus12@gmail.com for the source code or be part of the development team.
Package: automatise
Automatise: Multiple Aspect Trajectory Data Mining Tool Library[Publication] [citation.bib] [GitHub] [PyPi]Welcome to Automatise Framework for Multiple Aspect Trajectory Analysis. You can use it as a web-platform or a Python library.The present application offers a tool, called AutoMATise, to support the user in the classification task of multiple aspect trajectories, specifically for extracting and visualizing the movelets, the parts of the trajectory that better discriminate a class. The AutoMATise integrates into a unique platform the fragmented approaches available for multiple aspects trajectories and in general for multidimensional sequence classification into a unique web-based and python library system. Offers both movelets visualization and a complete configuration of classification experimental settings.Main ModulesDatasets: Datasets descriptions, statistics and files to download;Methods: Methods for trajectory classification and movelet extraction;Scripting: Script generator for experimental evaluation on available methods (Linux shell);Results: Experiments on trajectory datasets and method rankings;Analysis: Multiple Aspect Trajectory Analysis Tool (trajectory and movelet visualization);Publications: Multiple Aspect Trajectory Analysis related publications;Tutorial: Tutorial on how to use Automatise as a Python library.InstallationInstall directly from PyPi repository, or, download from github. Intalling with pip will also provide command line scripts (available in folderautomatise/scripts). (python >= 3.5 required)pipinstallautomatiseTo use Automatise as a python library, find examples in this sample Jupyter Notebbok:Automatise_Sample_Code.ipynbCitingIf you useautomatiseplease cite the following paper:Portela, Tarlis Tortelli; Bogorny, Vania; Bernasconi, Anna; Renso, Chiara. **AutoMATitse: Multiple Aspect Trajectory Data Mining Tool Library.** 2022. 23rd IEEE International Conference on Mobile Data Management (MDM), 2022, pp. xxx-xxx, doi: xxx.Bibtex:@misc{Portela2022automatise,title={},author={},year={2022},}Collaborate with usAny contribution is welcome. This is an active project and if you would like to include your algorithm inautomatise, feel free to fork the project, open an issue and contact us.Feel free to contribute in any form, such as scientific publications referencingautomatise, teaching material and workshop videos.Related packagesscikit-mobility: Human trajectory representation and visualizations in Python;geopandas: Library to help work with geospatial data in Python;movingpandas: Based ongeopandasfor movement data exploration and analysis.
Package: automaton
Friendly state machines for python. The goal of this library is to provide
well documented state machine classes and associated utilities. The state
machine pattern (or the implemented variation there-of) is a commonly
used pattern and has a multitude of various usages. Some of the usages
for this library include providing state & transition validation and
running/scheduling/analyzing the execution of tasks.Free software: Apache licenseDocumentation:https://docs.openstack.org/automaton/latest/Source:https://opendev.org/openstack/automatonBugs:https://bugs.launchpad.net/automaton
Package: automaton-tools
IntroductionThis is a simple regular expression program.
It implements NFA to DFA, DFA minimization and automaton visualization.To enable plotting feature, you may need to installgraphvizUsagefrom automaton_tools import DFA as MyDFA
myinput = "abc12.+qs{2,}(yui){1,2}?"
dfa = MyDFA.fromRegex(myinput)

# check whether the string matches the pattern from the beginning or not
ismatch = dfa.match("yuiyui")

# plot the transition graph
dfa.drawGraph("dfa")
# it will generate dfa.png fileKnown bugIt cannot handle.or\wproperly.
Because they are considered as a special kind of characters.
Package: automea
automeaautomea(Automated analysis of MEA datasets) is a open-source Python package for the analysis of Micro-Electrode Array (MEA) datasets.Bursts are detected using theMax Interval Method. Users can manually setMax Interval Parameters, or can use a machine learning model that dynamically predicts optimal parameters for specific recording times. Several models are distributed withautomea, and users are free to fine-tune the existing models for their specific needs, or upload new models completely.The machine-learning-based burst detection routine is explained in the paper accompanying the package.
Package: automedia
AutomediaAutomedia is a tool to manage bitrot and formats in large media libraries, whether it be audio or video.The tool currently supports the following operations:Printing/logging to list media files: view your media files at a glanceVerification of media correctness viaffmpeg: test-decoding of supported files to find bitrotTranscoding media libraries to other formats viaffmpeg: archive your media in a lossless/high-quality format, transcode for daily use or for older devicesPAR2 creation and verification: prevent future bitrot of data at restBut why?You can replace much of what this tool does usingfind,xargs,grepand a dash of scripting, butautomediadeals with all of
the incantations itself and has some intelligence to handle interaction with complex tools like asffmpeg.Requirementsautomediarequires theffmpegandpar2executables to be fully operational. These must exist on the path for the application to function. It is
recommended to use the dockerized version of this application as these requirements will be packaged up with it.Installationautomediacan be installed via pip, or can be run with all binary dependencies in a Docker container.Via pipAutomedia is available as apippackage. You can download it with:pipinstallautomedia
automedia--helpVia DockerIf you wish to run Automedia via Docker, a script has been provided that transparently runs Automedia on your machine as
if it were not running within a container (by mounting the entire root of your drive within the container).This script may be copied to a directory on your local$PATHand will automatically invoke the appropriate Docker container.cpautomedia-docker/usr/local/bin/automedia
automedia--helpUsagePrint a list of media files we find:automedia --root /media printVerify the media files we find usingffmpeg:automedia --root /media verifyTranscode the media files from/mediato/mnt/usb_stickto 64k AAC format:automedia --root /media transcode --preset aac-64k --output=/mnt/usb_stickTranscode the media files from/mediato/mnt/usb_stickto FLAC format:automedia --root /media transcode --preset flac --output=/mnt/usb_stickCreate PAR2 files for the media files we find:automedia --root /media par2-createVerify PAR2 files for the media files we find:automedia --root /media par2-verifyScreenshots
Package: automergetool
# AutoMergeTool> AutoMergeTool is a tool compatible with git to simplify the process of solving conflicts after a git merge, rebase or cherry-pick.[![Version](https://img.shields.io/badge/Version-0.3.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Python](https://img.shields.io/badge/Python-3.5-blue.svg)](https://docs.python.org/3/whatsnew/3.5.html)[![Documentation Status](https://img.shields.io/badge/docs-0.3-brightgreen.svg)](http://automergetool.readthedocs.io/en/stable/?badge=0.3)
[![Build Status](https://travis-ci.org/xgouchet/AutoMergeTool.svg?branch=master)](https://travis-ci.org/xgouchet/AutoMergeTool)
[![Coverage](https://codecov.io/gh/xgouchet/AutoMergeTool/branch/master/graph/badge.svg)](https://codecov.io/gh/xgouchet/AutoMergeTool)AMT enables you to chain automatic solvers on git conflicts, before openning your preferred manual merge tool (meld, kdiff, winmerge, …). It is currently under active development, and used internally in the Deezer Android team.## InstallationTL;DR;The easiest way to install AMT is to usepip:`$ pip install automergetool`… or usingeasy_install:`$ easy_install automergetool`Then include the following inside your~/.gitconfigfile :[merge]tool = amt
conflictstyle = diff3[mergetool “amt”]cmd = /path/to/amt.py -b “$BASE” -l “$LOCAL” -r “$REMOTE” -m “$MERGED”[amt]tools = gen_simplify;gen_woven;gen_additions;gen_deletions;meldPrerequisite: AutoMergeTool requires Python 3.5, and won’t work with Python 2.x.You can also read the documentation for [installation](http://automergetool.readthedocs.io/en/stable/installation.html) and [configuration](http://automergetool.readthedocs.io/en/stable/configuration.html) instructions.## Usage exampleJust use it as your defaultmergetool## Release HistoryThis app is currently in alpha version## ContributeIf you want to contribute, please follow the [Contribution guidelines](CONTRIBUTING.md).## See AlsoContact me on Twitter [@xgouchet](https://twitter.com/xgouchet)[Git Mergetool documentation](https://git-scm.com/docs/git-mergetool)[Git Config documentation](https://git-scm.com/docs/git-config)## LicenseThis program is distributed under the [Apache License 2.0](https://opensource.org/licenses/Apache-2.0)
Package: auto-meshroom
auto-meshroomPhotogrammetryPhotogrammetry is the science of making measurements from photographs.
It infers the geometry of a scene from a set of unordered photographs or videos.
Photography is the projection of a 3D scene onto a 2D plane, losing depth information.
The goal of photogrammetry is to reverse this process.first of allHi there, I'm Shahaf Frank-ShapirJust a bit about me...I just launched my complete python application for stock prediction, sentiment analysis and trading advisor!Iâ€™m currently learning biology, software engineering and systems engineering.Iâ€™m looking to collaborate with other content topics.2021 Goals: Contribute more to privet projects.Fun fact: I love to draw and paint, sculpt, program (of course) play the piano and make origami.before we startdescription:This program is a python wrapper for the Meshroom software.It provides a complete control of the 3D reconstruction process using python.The program provides object-oriented classes and methods to manage the process,that is being run through the command line, by the program itself. This means
that all the hard configurations are left for the program to deal automatically,
while you, the user, can build without limitations.dependencies:opening:
As for this is a really complex program, which uses a lot of modules, there are required dependencies needed
in order to run the program. keep in mined the program was writen in python 3.8.6, so any python version lower
than 3.8.1 might not work properly. Moreover, built-in python modules are being used, so keep that in mind.to install manually the required none-built-in python modules in command line:
write in the project command line:install the dependencies manually by writing the following list to the command line in the project directory:pip install -r requirements.txt