Saravanan666/pypi-org huggingface dataset:
Package: helppy
If you have Python-related documention in GitHub, Helppy helps you to search for them without the need to leave your Python notebook.InstallationpipinstallhelppyInitializingfromhelppyimportHelppyhh=Helppy()UsageSearch the knowledge-base by providing a keyword that appears in the header of the sections in you documentation files, or search by providing a keyword that appears in your documentation files.In either case you can optionally provide a keyword for the files name to limit the search to those files.# Among all files that contain 'pandas' in their names,# print sections that their headers contain 'sql'hh.find('sql','pandas')# Among all files that contain 'pandas' in their names,# print the link of those files that contain 'sql' in their body.hh.find(text_in_page='sql',subject='pandas')There is a pre-built knowledge-base included in this package which uses my own documentations. To use your own repositories as the knowledge-base, you canUse therefresh_kb(my_repo_url, extensions=['.md'])function to load your repositories (lasts for the session).After adding your repositories, save the knowledge-base to a file usingsave_kb()function, forke this repository, and replace thekb.pyfile with your file, and build a new package.Any GitHub path can be used for building the knowledge-base, doesn't have to be a repository path.
Package: helpsk
helpsk packageHelper package for python.NOTE: This package is tested on Python3.10,3.11package source in/helpskunit tests in/testsInstallingpip install helpskContributingCoding StandardsCoding standards should follow PEP 8 (Style Guide for Python Code)https://peps.python.org/pep-0008/Exceptions:use max line length of99rather than the suggested79document all files, classes, functionsfollowing existing documentation styleDockerSeeMakefilefor all commands.To build the docker container:make docker_buildTo run the terminal inside the docker container:make docker_zshTo run the unit tests (including linting and doc-tests) from the commandline inside the docker container:make testsTo run the unit tests (including linting and doc-tests) from the commandline outside the docker container:make docker_testsTo build the python package and uploat do PyPI via twine from the commandline outside the docker container:make allPre-Check-inUnit TestsThe unit tests in this project are all found in the/testsdirectory.In the terminal, in the project directory, either run the Makefile command,make testsor the python command for running all testspython -m unittest discover ./tests
Package: helpstack
HelpStackThe Library to help developers who fight with the stack trace of errorsInstallpip install helpstackHow to useAfter you install the library, we can use the decorator to simply get relevant links about the issue in jupyter notebook (or any ipython notebooks)We do the following:Go through Stackoverflow and get top answered results that are relevent to this stack traceGet all libraries that are available in the environment and search its github issues that are relevent to its stack trace.@help_stackdefdiv_by_zero(a):returna/0div_by_zero(12)Areas of improvement / TODO list:Add additional Searches with results from other relevent sitesEase logging of github issues from the same notebook if the user feels its an issue in the libraryImprove accuracy of matches with results by using ML algorithms (have to read through couple of papers on the same)Performance improvement of the results as there are lots of network calls involvedAdding compatibility to other IDEs/Platforms/ Languages
Package: helptocalc
—Name: helptocalcVersion: 0.0.1Description: helptocalc is a Python package made for performing essential math calculations for everyday use.Supported Actions:AdditionMultiplicationSubtractionDivisionnth root calculationMemory resetPrint out memory—
How to install this package:installing via terminal -pip install helptocalcinstalling via IDE -%pip install helptocalc—
How it works:from calculator.calculator import Calculatornew_obj = Calculator()  # New object is created.new_obj.add(55) # Returns 55.0new_obj.subtract(22.6) # Returns 32.4new_obj.multiply(5) # Returns 162.0new_obj.divide(2) # Returns 81.0new_obj.n_root(4) # Returns 3.0new_obj.return_memory # Returns 3.0new_obj.memory_reset() # Resets memory to 0.0—Keywords: calculator, addition, multiplication, subtraction, division, nth rootThis project is licensed under the terms of the MIT license.
Package: helptranslator
# helptranslator: help() for everyone.This is an experimental python package that translates Python's **help()** textto any language using Google Translate!Why?  Because learning Python shouldn't require fluency in English, and the help() functionis the most language-intensive part of the early programming language learning experience.Plus, Python 3 fully supports Unicode, so why not?## Installation```bashpip install helptranslator```## ExampleCalling the **set_help_lang()** function overrides the built-in **help()** function,so working with helptranslator is essentially a two-liner:```pythonimport helptranslatorhelptranslator.set_help_lang('german')```That's it!  Let's change the help text to German and look at the sum() function:```pythonimport helptranslatorhelptranslator.set_help_lang('german')help(sum)>> Hilfe zur eingebauten Funktionssumme in den eingebauten Modulen:Summe (iterierbar, Start = 0, /)Gibt die Summe eines "Start" -Werts (Standard: 0) plus einer Anzahl von Zahlen zurückWenn das iterable leer ist, geben Sie den Startwert zurück.Diese Funktion ist speziell für die Verwendung mit numerischen Werten und möglicherweise vorgesehenlehnen Sie nicht-numerische Typen ab.```Or Chinese:```pythonimport helptranslatorhelptranslator.set_help_lang('chinese (simplified)')help(sum)>> Hilfe zur eingebauten Funktionssumme in den eingebauten Modulen:帮助内置函数总和模块builtins：sum（iterable，start = 0，/）返回“开始”值（默认值：0）加上可迭代的数字的总和当迭代器为空时，返回起始值。此功能专门用于数字值和可能拒绝非数字类型。```Or Russian:```pythonimport helptranslatorhelptranslator.set_help_lang('russian')help(sum)>> Справка по встроенной функции sum в встроенных модулях:sum (iterable, start = 0, /)Возвращает сумму значения «start» (по умолчанию: 0) плюс итерабельность чиселКогда итерабельность пуста, верните начальное значение.Эта функция предназначена специально для использования с числовыми значениями и можетотклонять нечисловые типы.```## TodosWell, clearly this is a limited approach.  It requires an internet connection, longtexts fail in their connections, and I haven't added IPython support yet.  The lasttwo can be fixed pretty easily (if you are interested in having this, let me know!) butthe first requires a more thoughtful approach.  Personally, I'm imagining some kind ofstub file that package developers can create for their packages.Hopefully, this is useful, and generates some conversation about increasing programmingeducation around the world!
Package: helpu
lib-py-helpu (not stable right now)Phonetic -| help juː |Library on PYPI that contains some very lazy but safe methods.
It's a tradition I wanted to follow my very first development team. Miss you guys.I did document this, but I'm not sure how to use auto docs on Python, so this is really just for my usage for now.
I highly doubt anyone would really want to use this besides me.Use case example:import helpu

data_lists = [["header1", "header2"], ["value1", "value3"]]
file_path = "C:\yourfile.csv"

helpu.write_to_csv(file_path, data_lists)Examples of functions:def write_to_csv(self, file_path, lists):

def timestamp(self, formatting="%Y%m%d"):
Package: helpy
Descriptionhelpydisplays built-in Python documentation from the command line without the need to use the interactive Python interpreter console. View documentation by Python module, class, method, function, or keyword.Tested in cPython 2.6, 2.7, 3.2, 3.3, and pypy 2.2 (Python 2.7.3)InstallInstall withpipusing the command:pipinstallhelpyor download the source repository, unpack it, and navigate to the top level of the repository.  Then enter:pythonsetup.pyinstallUsagehelpy<module,class,method,function,keyword>ExamplesModule DocumentationhelpysysClass DocumentationhelpydictMethod Documentationhelpydict.updateFunction DocumentationhelpymaxIssue ReportingIssue reporting is available on theGitHub repository
Package: helstrom
Helstrom ·Helstrom is a quantum state distinguisher with minimum theoretical worst-case probability of error.FeaturesDistinguish two qubits with minimum worst-case error.Obtain POVMs and min_pwc.Now available on PyPI!Support for qudits now here!Support for entangled states coming soon!TechHelstrom uses a number of open source projects to work properly:CVXPY- Python-embedded modeling language for convex optimization problems!MOSEK- The package for large scale convex, conic and mixed-integer optimization.NumPy- The fundamental package for scientific computing with Python.And of course Helstrom itself is a free and open-source software with apublic repositoryon GitHub.InstallationHelstrom has been developed and tested to run onPython 3.8.InstallPythonif you have not already.You could install Helstrom via pip by running:pipinstallhelstromNote: MOSEK requires an academic license to operate. Academic faculty, students or staff gets free license.Apply for a license.Alternatively, to contribute, download the code as ZIP, extract it, and enter the folder.
Then, install the dependencies by typing the following command on your terminal:cdhelstrom-main# Change directory into child directorypipinstall-rrequirements.txtExamplesNow run the following command on the terminal to use Helstrom's SDP and the results will be printed:python-mhelstrom"1 0; 0 0""1 0; 0 1"# Pass in desired states of rho_0 and rho_1 as two argumentsIf the two arguments are not provided, by default, the states rho_0 and rho_1 are:rho_0=[10]rho_1=[0.50][00][00.5]# "1 0; 0 0"          # "0.5 0; 0 0.5"If Helstrom was downloaded via ZIP, you may runhelstromSDP.pydirectly.Helstrom can be used as part of your code. Simply,importhelstrom
helstrom.sdp(rho_0,rho_1)DevelopmentWant to contribute? Great!Helstrom uses Python for developing.
Make changes in your file and create a pull request!
Package: helveg-sphinx-code-tabs
This is a Sphinx extension that adds a directivecode-tabsthat creates a
navbar above several alternative code blocks, allowing the user to switch
between them.This can be used to e.g. show a snippet in multiple languages, display
instructions for alternative platforms, or (in the future) switch between
source and output.Installationpipinstallsphinx_code_tabsTo enable the extension in sphinx, simply add the package name in yourconf.pyto the list ofextensions:extensions=[...'sphinx_code_tabs',]UsageBy enabling the extension you get access to thecode-tabsdirective that
declares a notebook of code block alternatives.The individual tabs must be created with thecode-tabdirective which
derives fromcode-blockand accepts all of its arguments:..code-tabs::..code-tab::bash:title:bashecho "Hello, World!"..code-tab::c:title:C/C++:emphasize-lines:2#include <stdio.h>int main() { printf("Hello, world!\n"); }..code-tab::python:title:pythonprint("Hello, world!")Planned changesThis project has just started. Planned features for the next releases (this might
initially include backward-incompatible changes!):prerender navbar, and CSS “hidden” classes, so that the layout doesn’t change
during page reloadadd mechanism to group several tab widgets together, so that the selection
is kept in sync (which means users interested in a specific language won’t
have to change the language on each snippet individually in a longer article)adopt “caption” attribute rather using our own “title”reuse “code-block” rather than introducing our own “code-tab” (?)allow tabs other than code-blocks (maybe)
Package: helyos_agent_sdk
helyOS Agent SDKMethods and data strrctures to connect autonomous vehicles to helyOS.Explore the docs »View Demo·Report Bug·Request FeatureAbout The ProjectThe helyos-agent-sdk python package encloses methods and data structures definitions that facilitate the connection to helyOS core via RabbitMQ.List of featuresRabbitMQ client for communication with helyOS core.Support for both AMQP and MQTT protocols.Definition of agent and assignment status.Easy access to helyOS assignments and instant actions through callbacks.SSL support and application-level security with RSA signature.Automatic reconnection to handle connection disruptions.Installpip install helyos_agent_sdkUsagefromhelyos_agent_sdkimportHelyOSClient,AgentConnector# Connect via AMQPhelyOS_client=HelyOSClient(rabbitmq_host,rabbitmq_port,uuid=AGENT_UID)# Or connect via MQTT# helyOS_client = HelyOSMQTTClient(rabbitmq_host, rabbitmq_port, uuid=AGENT_UID)helyOS_client.connnect(username,password)# Check in yardinitial_agent_data={'name':"vehicle name",'pose':{'x':-30167,'y':-5415,'orientations':[0,0]},'geometry':{"my_custom_format":{}}}helyOS_client.perform_checkin(yard_uid='1',agent_data=initial_agent_data,status="free")helyOS_client.get_checkin_result()# yard data# Communicationagent_connector=AgentConnector(helyOS_client)agent_connector.publish_sensors(x=-30167,y=3000,z=0,orientations=[1500,0],sensor={"my_custom_format":{}})# ... #agent_connector.publish_state(status,resources,assignment_status)# ... #agent_connector.consume_instant_action_messages(my_reserve_callback,my_release_callback,my_cancel_assignm_callback,any_other_callback)agent_connector.consume_assignment_messages(my_assignment_callback)agent_connector.start_listening()ContributingKeep it simple. Keep it minimal.AuthorsCarlos E. Viol Barbosa...LicenseThis project is licensed under the MIT License
Package: hemApp
HEM - HTTP Endpoint MonitorTo install hem, use:pip install hemAppCommand line syntax:Usage: hem [OPTIONS]

Options:
--version          Show the version and exit.
-v, --verbose      Verbose mode, multiple -v options increase verbosity.
-c, --config PATH  Specifies an alternative config file
--help             Show this message and exit.By default hem will use a config file called hem.yaml in the current directory or /etc/hem.yaml unless one is specified with the --config option.Config syntaxThe config.yaml is made up of sections:settings - general settingsfrequency: 30 // Frequency to run testsmetrics - Where to store the results of the testing e.g. graphite:type: graphite // Name of plugin to use 
    server: 127.0.0.1 // IP or hostname of server
    port: 2003 // Port to usetests - the actual endpoints to testtest-name: 
        path: Path to test
        secure: Is this using HTTPS?
        hosts: List of hosts to use 
        certificate: Path to keypair to use for mTLS - must be un-encrypted
        discovery: discovery block for this test - merged with top level blockdiscovery - optional top level discovery config shared across teststype: dns // Plugin to use
Package: hematopy
hematopy==============================Python and BloodProject Organization------------├── LICENSE├── Makefile           <- Makefile with commands like `make data` or `make train`├── README.md          <- The top-level README for developers using this project.├── data│   ├── external       <- Data from third party sources.│   ├── interim        <- Intermediate data that has been transformed.│   ├── processed      <- The final, canonical data sets for modeling.│   └── raw            <- The original, immutable data dump.│├── docs               <- A default Sphinx project; see sphinx-doc.org for details│├── models             <- Trained and serialized models, model predictions, or model summaries│├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),│                         the creator's initials, and a short `-` delimited description, e.g.│                         `1.0-jqp-initial-data-exploration`.│├── references         <- Data dictionaries, manuals, and all other explanatory materials.│├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.│   └── figures        <- Generated graphics and figures to be used in reporting│├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.│                         generated with `pip freeze > requirements.txt`│├── setup.py           <- makes project pip installable (pip install -e .) so src can be imported├── src                <- Source code for use in this project.│   ├── __init__.py    <- Makes src a Python module│   ││   ├── data           <- Scripts to download or generate data│   │   └── make_dataset.py│   ││   ├── features       <- Scripts to turn raw data into features for modeling│   │   └── build_features.py│   ││   ├── models         <- Scripts to train models and then use trained models to make│   │   │                 predictions│   │   ├── predict_model.py│   │   └── train_model.py│   ││   └── visualization  <- Scripts to create exploratory and results oriented visualizations│       └── visualize.py│└── tox.ini            <- tox file with settings for running tox; see tox.testrun.org--------<p><small>Project based on the <a target="_blank" href="https://drivendata.github.io/cookiecutter-data-science/">cookiecutter data science project template</a>. #cookiecutterdatascience</small></p>
Package: hemekg
Assembling and modeling the knowledge around heme pathogenicity and pathway dysregulation in the context of hemolytic
disorders. The data hosted in this repo was curated byFarah Humayunin context of her
Master’s Thesis. The curated documents are located in thehemekgdirectory.CitationIf you find HemeKG useful in your work, please consider citing:[1]Humayun, F.,et al.(2020).A computational approach for mapping heme biology in the context of hemolytic
disorders.Front. Bioeng. Biotechnol.8:74.InstallationTo install thehemekgpython package for programmatic access to
the BEL files in this repository, use the following code in your shell:$gitclonehttps://github.com/hemekg/hemekg.git$cdhemekg$pipinstall-e.CommandsTo see all the commands, simply run:$hemekgUsageTo get the BEL graph, use the following code:>>>importhemekg>>>graph=hemekg.get_graph()>>>graph.summarize()AnnotationsAuxiliary annotations are located in the hemekg/annotations directory.
These include:TimePoint.Species.Concentration.
Package: hemlock-berlin
Hemlock-BerlinHemlock-Berlin is ahemlockextension which allows you to add aBerlin numeracy testto hemlock projects.InstallationWith the hemlock-CLI (recommended):$hlkinstallhemlock-berlinWith pip:$ pip install hemlock-berlinQuickstartThis example shows how to add an adaptive Berlin numeracy test to your hemlock survey and display the participant's score to him/her.Insurvey.py:fromflask_loginimportcurrent_userfromhemlockimportBranch,Page,Label,routefromhemlock_berlinimportberlin@route('/survey')defstart():returnBranch(berlin(),Page(Label(compile=display_score),terminal=True))defdisplay_score(label):label.label='<p>Berlin score:{}</p>'.format(current_user.g['BerlinScore'])app.pyis standard from the hemlock template.Run the app with the hemlock command line interface:hlkserveor with python:pythonapp.pyCitation@software{bowen2020hemlock-berlin,
  author = {Dillon Bowen},
  title = {Hemlock-Berlin},
  url = {https://dsbowen.github.io/hemlock-berlin/},
  date = {2020-10-05},
}

@article{cokely2012measuring,
  title={Measuring risk literacy: The Berlin numeracy test.},
  author={Cokely, Edward T and Galesic, Mirta and Schulz, Eric and Ghazal, Saima and Garcia-Retamero, Rocio},
  journal={Judgment and Decision making},
  year={2012},
  publisher={Society for Judgment and Decision Making}
}LicenseUsers must cite this package in any publications which use it.It is licensed with the MITLicense.
Package: hemlock-big5
Hemlock Big 5Hemlock-big5 is ahemlockextension for creating big 5 personality questionnaires.InstallationWith hemlock-CLI (recommended):$ hlk install hemlock-big5With pip:$ pip install hemlock-big5QuickstartThis assumes you are using the hemlock template. Insurvey.py:fromhemlockimportBranch,Page,Label,routefromhemlock_big5importbig5@route('/survey')defstart():returnBranch(big5(page=True),Page(Label('The end.'),terminal=True))CitationHemlock-big5 includes several versions of big 5 personality questionnaires. Please cite the appropriate questionnaire along with hemlock.Hemlock-big5@software{bowen2021hemlock-big5,
  author = {Dillon Bowen},
  title = {Hemlock-Big5},
  url = {https://dsbowen.github.io/hemlock-big5/},
  date = {2021-02-17},
}IPIP 50-item inventory (IPIP-50)@article{donnellan2006mini,
  title={The mini-IPIP scales: tiny-yet-effective measures of the Big Five factors of personality.},
  author={Donnellan, M Brent and Oswald, Frederick L and Baird, Brendan M and Lucas, Richard E},
  journal={Psychological assessment},
  volume={18},
  number={2},
  pages={192},
  year={2006},
  publisher={American Psychological Association}
}Ten-item personality inventory (TIPI)@article{gosling2003very,
  title={A very brief measure of the Big-Five personality domains},
  author={Gosling, Samuel D and Rentfrow, Peter J and Swann Jr, William B},
  journal={Journal of Research in personality},
  volume={37},
  number={6},
  pages={504--528},
  year={2003},
  publisher={Elsevier}
}Ten-item big five inventory (BFI-10)@article{rammstedt2007measuring,
  title={Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German},
  author={Rammstedt, Beatrice and John, Oliver P},
  journal={Journal of research in Personality},
  volume={41},
  number={1},
  pages={203--212},
  year={2007},
  publisher={Elsevier}
}LicenseUsers must cite this package in any publications which use it.It is licensed with the MITLicense.
Package: hemlock-cli
Hemlock-CLI is the command line tool forhemlock.Installation$pipinstallhemlock-cliQuickstartInitialize a hemlock project with:$hlkinit<my-project-name>Run the hello world app locally:$hlkserveAnd navigate tohttp://localhost:5000/in your browser.Citation@software{bowen2020hemlock-cli,
  author = {Dillon Bowen},
  title = {Hemlock},
  url = {https://dsbowen.github.io/hemlock/},
  date = {2020-07-10},
}LicenseUsers must cite this package in any publications which use it.It is licensed with theHemlock Research License. The license permits free use for academic research, and requires written permission from hemlock's author, Dillon Bowen, for commercial use.
Package: hemlock-cli-dsbowen
Hemlock-CLIHemlock-CLI is a command line tool for theHemlocksurvey creation package.Basic useThe following commands will initialize a new Hemlock project, deploy the survey in a 'production-lite' environment, then scale it to a full production environment.$ hlk init my-project
$ hlk deploy my-app
$ hlk productionOther commands allow programmers to:Run a Hemlock app or shell locally.Run the Hemlock debugging tool in local and production environments.Create and associate Google storage with a Hemlock project.Run a local Redis Queue for a Hemlock app.DocumentationYou can find the latest documentation atdsbowen.github.io/hemlock.LicenseHemlock was created first and foremost as a free, open-source tool for academic and non-profit research. I aim to obtain a license permitting unlimited free use for legitimate academic and non-profit research by February 2020.Until I obtain this license, I require that all Hemlock users obtain written permission from its copyright holder, Dillon Bowen. Any use without written permission from the copyright holder is strictly prohibited.