Saravanan666/pypi-org huggingface dataset:
Package: helper
All rights reserved.Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.Neither the name of the helper nor the names of its contributors may be used
to endorse or promote products derived from this software without specific
prior written permission.THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
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OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.Description: UNKNOWN
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Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Environment :: No Input/Output (Daemon)
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: BSD
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Provides-Extra: testing
Package: helper20sms
QuickstartInstall packagepip install helper20smsSee examplesRead thedocumentationUsagefrom helper20sms import AioHelper20SMS, BadApiKeyProvidedExceptionclient = AioHelper20SMS('your_api_token')See examplebalance=awaitclient.get_balance()print(balance)countries=awaitclient.get_countries()print(countries)Exception handlingfromaiohelper20smsimportAioHelper20SMS,BadApiKeyProvidedExceptionclient=AioHelper20SMS(token)try:balance=awaitclient.get_balance()print(balance)exceptBadApiKeyProvidedExceptionase:print(e)> {'detail': 'Bad API key provided'}See the documentation for exceptions in theexceptions.mdfileSync versionfromaiohelper20smsimportHelper20SMS,BadApiKeyProvidedExceptiontoken='your_api_token'defmain(token):client=Helper20SMS(token)try:balance=client.get_balance()print(balance)countries=client.get_countries()print(countries)exceptBadApiKeyProvidedExceptionase:print(e)if__name__=='__main__':main()LicenseProject AioHelperSMS is distributed under the MIT license
Package: helper-auth
This Python library provides theHelperAuthclass whose objects are intended
to be used as custom authentication handlers in conjunction with
theRequestslibrary, as suggested in itsdocumentation.Installationpip install helper-authUsageSuppose you have an existing GitHub personal access token, and
aGit credential helperalready set up for Git to authenticate to
GitHub using this token as the password. This helper prints the following
to standard output:$ git credential-github
username=YOUR_GITHUB_USERNAME
password=YOUR_GITHUB_TOKENYou want to use the same token to make GitHub API calls using the Requests
library. The API expects the fieldAuthorization: Bearer YOUR_GITHUB_TOKENin
your request's headers.You can useHelperAuthwith its default settings:importrequestsfromhelper_authimportHelperAuthauth=HelperAuth("git credential-github")response=requests.get("https://api.github.com/user",auth=auth)Specifying the helper commandThe helper command can be specified as one or more positional arguments:auth=HelperAuth("helper")auth=HelperAuth("helper","--option","arg")As a shortcut, a command with command-line arguments can also be passed
as single string (this form is used in the code snippet above):auth=HelperAuth("helper --option arg")In addition, the first positional argument can be a path-like object:auth=HelperAuth(Path("helper"))auth=HelperAuth(Path("helper"),"--option","arg")Caching the tokenBy default, aHelperAuthobject never stores the value of the token
in its internal state. Rather, the helper command is invoked
each time the auth object is called. This is an intentional precaution (such
that the token cannot be retrievedex postby the introspection of the
auth object) but it can also be unnecessarily expensive in situations
where such precaution is not necessary and the auth object is to
be called repeatedly, e.g. when making many simultaneous API calls.You can override this behavior by passingcache_token=Trueto the
constructor:auth=HelperAuth("helper",cache_token=True)The cached token can then be cleared anytime by callingauth.clear_cache()
Package: helperlibs
Helperlibs READMEThis library is a collection of Bioinformatics-related helper functions
that I have created in the course of writing bioinformatics tools.If I find that I want to reuse a bit of code in multiple projects, the code
usually ends up in this helper libraryNote: Version 0.1.12 was the last version to support Python 2.7, due to our
dependencies dropping support for Python 2.QuickstartThe quickest way to get started using the helperlibs is to dump the helperlibs
folder in the top level directory for your project.Of course you can also install it in your Python path, by usingpip install helperlibsfor the latest stable release orpip install git+git://github.com/kblin/bioinf-helperlibs.gitfor the lastest
code from git.
Package: helpers-takemyhands
# This help for Python or Django(included Rest Framework) development easily.# Histories0.0.1 (2020/12/26)
- First Release.0.0.2 (2020/12/26)
- Added Request manager.0.0.3 (2020/12/26)
- Added Key generator.0.0.4 (2020/12/28)
- Added Permission helper.
- Added Raise vaildation error in request manager.0.0.5 (2020/12/28)
- Bug0.0.6 (2020/12/28)
- Updated Raise validation function in request manager.0.0.7 (2021/1/4)
- Added Raise validation function(query) in request manager.0.0.8 (2021/1/4)
- Updated Result message when Raised error in request manager.0.0.9 (2021/1/7)
- Added Youtube search API(Bug).0.0.10 (2021/1/7)
- Fix bug.0.0.12 (2021/1/8)
- Added JWT decode function.0.0.13 (2021/1/8)
- Added Dictionary duplicates validator.0.0.14 (2021/1/8)
- Fixed Dictionary duplicates validator bug.0.0.15 (2021/1/9)
- Added Django function what convert url to html img tag easily.
- Migrate Some apps.0.0.16 ~ 0.0.18 (2021/1/9)
- Added NCloud SENS API Manager.0.0.19 ~ 0.0.21 (2021/1/11)
- Added NCloud Books API Manager.0.0.22 ~ 0.0.23 (2021/1/21)
- Added XML to Json parser.0.0.24 (2021/1/21)
- Added Date parser (6 digit).
Package: helpertools
helper tools for pythonFree software: Apache Software License 2.0Installationpip install helpertoolsYou can also install the in-development version with:https://github.com/sandeepsn1997/helpertools/blob/master/README.rstDocumentationhttps://helpertools.readthedocs.io/DevelopmentTo run the all tests run:toxNote, to combine the coverage data from all the tox environments run:Windowsset PYTEST_ADDOPTS=--cov-append
toxOtherPYTEST_ADDOPTS=--cov-append toxChangelog0.0.0 (2020-04-23)First release on PyPI.
Package: helpful-review-predictor
Helpful Review PredictorThe Helpful Review Predictor is a Python package that predicts the helpfulness of reviews using machine learning techniques. It takes textual reviews as input and provides a binary classification indicating whether the review is likely to be helpful or not. A prediction of 1 indicates a helpful review, while a prediction of 0 indicates a review that is not helpful.For a comprehensive understanding of the model's training process and methodology, I have documented it in an academic research paper. To stay updated on the latest developments and access the research paper upon publication, I invite you to follow my LinkedIn profile:Mojtaba Maleki.DatasetThe data used for training the model is sourced from the Amazon Electronics Reviews dataset available on Kaggle. This 5-core dataset contains product reviews from the Electronics category on Amazon from May 1996 to July 2014, totaling 1,689,188 entries.The dataset is provided by Julian McAuley, UCSD, and is availablehere.FeaturesPreprocesses textual reviews, including lowercasing, punctuation removal, contractions expansion, and lemmatization.Utilizes TF-IDF vectorization to convert text data into numerical feature vectors.Addresses class imbalance using Random Over Sampling.Supports training and evaluation of multiple classifiers, including Gaussian Naive Bayes, Logistic Regression, and Decision Trees.Performs hyperparameter tuning using Grid Search and Stratified K-Fold Cross Validation.Provides visualization tools for comparing different classifiers and evaluating model performance.Saves the best model and TF-IDF vectorizer for future use.InstallationYou can install the Helpful Review Predictor package using pip:pipinstallhelpful-review-predictorUsagefromhelpfulReviewPredictorimportPredictHelpfulnessstring_input="Your input string here"predictor=PredictHelpfulness(string_input)result=predictor.get_result()print(result)# Output: 1 for Helpful, 0 for Not HelpfulRequirementsjoblibnumpyscikit-learnscipyTfidfVectorizer from sklearn.feature_extraction.textThese changes provide more clarity about the purpose of the package, the dataset used, and the expected output. They also improve the formatting and readability of the document.
Package: helpful-site
Beautifully simple static site generator in PythonWhat’s this?Helpful Site is a static site generator written on top ofPython-Markdown,Jinja2andCrammit. It aims to provide a
friendly interface for building web pages from markdown and minifying
css and js files. You can check out a rendering of the sample pages here
=>http://helpfulsheep.com/toys/helpful-site/Specifically, Helpful Site provides you with:post categorieshome and category pages that provide lists of postspagination for the posts on the home pageprevious post and next post linksability to mark out the excerpt using the<!--more-->keywordsupport for per page attributes such as description, ogimage, style
and scriptsyntax highlighting of code blocksthe great looking Casper theme fromGhostfriendly config.yaml fileflexible template systemstatic web server to try your site out locallyHow does it work?The project provides a number of./manage.pycommands that use the
files from the src directory to generate a static site inside the dist
directory.To create a new page, run./manage.py newAfter adding content to the page, run./manage.py buildto build the html files. If you plan to serve your site from a
subdirectory such ashttp://www.example.com/blog/, you should update the
config.yaml file and run./manage.py build --prodTo update the css and js files, you should run./manage.py miniYou can also run./manage.py resetto remove the entire dist folder and./manage.py reset --allto remove the src folder as well. You can run./manage.py runserverto start a local server and last but not least,./manage.py updateto both minify and build the files.Getting your hands dirtycd to a comfy locationgit clonegit@github.com:g4b1nagy/helpful-site.gitcd helpful-site/virtualenv .venvsource .venv/bin/activatepip install -r config/requirements.txt./manage.py update./manage.py runserverpoint your browser tohttp://localhost:3000/Building your site on top of this should be a matter of customizing the
files in the config directory i.e. config.yaml and template files and
adding your own css and js files to the src directory. As far as media
goes, there is no recommended strategy, but you could store your files
inside each post’s directory and use relative links to point to them.
This should provide the greatest flexibility while also keeping your
posts atomic - limited to a single directory.Known issuesGoogle Chrome seems to screw up the font size from time to time when
loading the pages. According tothis
post,
it seems to be caused by using rem units in the css files.If you do funky stuff, such as delete the dist folder while the server
is running, you might end up with asocket.error: [Errno 98] Address already in useerror when trying to
restart it. You will need to manually find the server process andkill-9it.Yes, this is written in Python 2. I am sorry. No, there are no tests. I
am even sorrier for that.Feeling generous?Contributions are more than welcome and are generally rewarded with a
huge THANK YOU! and a [virtual] hug. Feel free to tackle any issues you
may have and send me a pull request afterwards.If you have bigger plans, feel free to drop me a line atgabi@helpfulsheep.com.
Package: helpgen
helpgenhelps you to make easily help/usage message of command line tools.ExampleNext is a short example of how to use the library :#!/usr/bin/env python

import sys

from helpgen.decorators import Action
from helpgen.parser import ActionParser


@Action('test')
def action_test():
    """run a test"""

    print("I AM A TEST \o/")


@Action('hello', args=['word'])
def action_hello(word):
    """display a word"""

    print("The word is : %s" % (word,))


def main():
    parser = ActionParser(description="helpgen test script")
    parser.compile()

    try:
        parser.process()
    except:
        return 1
    else:
        return 0

if __name__ == "__main__":
    sys.exit(main())This peace of code will produce these help messages :generic help message:$ ./test.py -h
usage: test.py [-h] {test,hello} ...

helpgen test script

positional arguments:
  {test,hello}
    test        run a test
    hello       display a word

optional arguments:
  -h, --help    show this help message and exithelp message for test sub command:$ ./test.py test -h
usage: test.py test [-h]

optional arguments:
  -h, --help  show this help message and exithelp message for hello sub command:$ ./test.py hello -h
usage: test.py hello [-h] word

positional arguments:
  word

optional arguments:
  -h, --help  show this help message and exitand, it works fine :$ ./test.py test
I AM A TEST \o/
$ ./test.py hello "\_o<~ KOIN"
The word is : \_o<~ KOIN
Package: helphelp
Command-line help on Python modules, classes and functionsThis package procures the command-line toolpyh. It works somewhat like UNIX'sman, but for Python's docstring-based help system. In a nutshell:$ pyh print
print(...)
    print(value, ..., sep=' ', end='\n', file=sys.stdout, flush=False)

    Prints the values to a stream, or to sys.stdout by default.
    Optional keyword arguments:
    file:  a file-like object (stream); defaults to the current sys.stdout.
    sep:   string inserted between values, default a space.
    end:   string appended after the last value, default a newline.
    flush: whether to forcibly flush the stream.A more complex example:$ pyh pathlib Path.is_file
Help on function is_file in module pathlib:

is_file(self)
    Whether this path is a regular file (also True for symlinks pointing
    to regular files).To shorten the command lines a bit, one can configure a set of their favorite aliases for modules names in file$XDG_CONFIG_HOME/pyh/aliases(which typically resolves to$HOME/.config/pyh/aliases). The alias file is written in
theNestedTextformat, which looks similar to YAML. One simply encodes an
alias-to-module name dictionary, one line per entry. Example:pd: pandas
pl: pathlib
ap: argparse
Package: helpjuice
helpjuiceA Python wrapper of the Helpjuice APIThis package allows Python developers to write software that makes use of the Helpjuice API. Functions available in the API are mirrored in this package as closely as possible, translating JSON responses to Python objects. You can find the current documentation for the Helpjuice API here:Helpjuice API DocumentationInstallingpip install helpjuiceQuick StartfromhelpjuiceimportClienthelpjuice=Client(account="your-account",api_key="ffb722a62e8**********************")# Get a single articlearticle=helpjuice.Article(id=1).get()# Search for articles with paginationforquestioninhelpjuice.Search().get(query="foo",limit=1000,paginate=True):print(question)
Package: helpline-scheduler
Workshift scheduler for a helplineCode written in Python finds the best possible schedule for volunteers while incorporating constrains and special requirements usingCP-SAT Solver(Constraint Programming - boolean SATisfiability problem Solver).Java version is in development.The problemArranging volunteers for a helpline service for the period of one month.There are three types of work that could be done on the same day:Phone shift: Every day.Chat shift: Mondays and Wednesdays.Observer shift: Any day.Constraints:Properties of each volunteer:Available days.Function: doing phone, chat, both or observation for training purposes.Maximum amount of weekend shifts.Whether their shifts have to be on separate weeks.Whether they welcome observers.Whether they want to work alone.Whether they cannot yet work alone.List of people they do not want to work with.Each volunteer has to have 4 days between their shifts.Priorities:Have minimum one volunteer for each day.Fill chat shifts.Have a second volunteer even on phone days.Employ observers on days when there is only phone shift.Objective:Maximize filled shifts.InstallationRequires 64-bit Python 3.7pip3 install helpline-schedulerUsageSelect your language in config.py: EN/HU/CNAlternatively you can create your XX language extension by creating the corresponding data_XX.csv and language_XX.py files.Export corresponding data/data_XX.csv file into a spreadsheet, fill in your data, then export back into this file.Execute the program from its directory:python3 schedule.pyOutputPrints results into the terminal and saves it into schedule_YYYY_MM____YYYYMMDD_hhmm.txt.Saves results into schedule_YYYY_MM____YYYYMMDD_hhmm.csv which can be conveniently imported into a spreadsheet.
Package: helplotlib
helplotlibHelper for matplotlib: tired of googling over and over again how to change my font size or make my axis semi-log, I am creating this helper to automate all of thisFree software: MIT licenseDocumentation:https://helplotlib.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.0.1 (2020-07-20)First release on PyPI.
Package: helpme-assistance
HelpMe-projectThe projectHelpMe-Assistance- is your personal CLI assistant. AddressBook, NoteBook, CleanFolder -  in one App.Table of contentsGeneral infoTechnologiesSetupGeneral infoThis is a bot-assistant product. It propose tree functionality:Address Book- add new contacts to the phonebook, together with birthday, email and address information. Additional features: edit and delete contacts, announce the next birthdays.Note Book- add note together with their title and tags. Additional features: add new tags, search by tags and key values, edit and delete notes.Clean Folder- sort all files in the chosen folder and redirect them to the corresponding type-folders.TechnologiesProject is mainly based on:Python OOPs Concepts
Utilised modules:normalize, datetime, collections(UserDict)file_parser, pickleSetupTo run this project, install thehelpme-assistancepackaje locally usingpipand run it usinghelpmecommand:$ pip install helpme-assistance 
$ # or
$ pip3 install helpme-assistance
$ helpme
Package: helpmepack
Python Packaging helperA Python Packaging helper CLILEARNLearn about Python packagingSimple packaging tutorialInstallationusing pip command line:pip install helpmepackORDownload Build file:Source DistributionBuilt DistributionUsagePlease make sure you have your '.git' folder, and README.md, .gitignore, requirments.txt, LICENSE files - in your project directory.All the other project files will be moved to the 'src' folder.Make sure you running in the Project Main Directory.Run Python (in cmd/bash) in your project directoryfrom helpmepack import helpmepackhelpmepack.main()
Package: helpmeplease
Ask you friend to debug for you!Usageset up config file# config.py# add your friends' email addresses over hereGOOD_PEOPLE={'Max':'max@gmail.com','John':'john@gmail.com','Anny':'anny@gmail.com'}specify who would be the one to save your buggy codefromhelpmeimportask_for_help# send Max an email if this function raises error@ask_for_help('Max')defbuggy_function(x):return10/x# harrase Max with a DivisionByZero Errorbuggy_function(0)Features on the wayInclude argument values along with the source codeAdd regular reminders, if your friend doesn't reponse your email, send again!
Package: helpo
About The ProjectHere's a blank template to get started: To avoid retyping too much info. Do a search and replace with your text editor for the following:github_username,repo_name,twitter_handle,linkedin_username,email,email_client,project_title,project_descriptionBuilt WithNext.jsReact.jsVue.jsAngularSvelteLaravelBootstrapJQueryGetting StartedThis is an example of how you may give instructions on setting up your project locally.
To get a local copy up and running follow these simple example steps.PrerequisitesThis is an example of how to list things you need to use the software and how to install them.npmnpminstallnpm@latest-gInstallationGet a free API Key athttps://example.comClone the repogitclonehttps://github.com/github_username/repo_name.gitInstall NPM packagesnpminstallEnter your API inconfig.jsconstAPI_KEY='ENTER YOUR API';UsageUse this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.For more examples, please refer to theDocumentationRoadmap[] Feature 1[] Feature 2[] Feature 3[] Nested FeatureSee theopen issuesfor a full list of proposed features (and known issues).ContributingContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make aregreatly appreciated.If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
Don't forget to give the project a star! Thanks again!Fork the ProjectCreate your Feature Branch (git checkout -b feature/AmazingFeature)Commit your Changes (git commit -m 'Add some AmazingFeature')Push to the Branch (git push origin feature/AmazingFeature)Open a Pull RequestLicenseDistributed under the MIT License. SeeLICENSE.txtfor more information.ContactYour Name -@twitter_handle-email@email_client.comProject Link:https://github.com/github_username/repo_nameAcknowledgments
Package: helpohelpo
Helpo! Helpo!!OverviewA place for reusable aws & general python helpers. Function written over my career so the quality may vary. Going to be trying to get everything up to spec now though!ObjectivesMake this a pip installable libraryCreate an autodocumentation site on github pages so that code can be copied and pasted quickly (if pip install option unavailable)Use eyes3scribe with this project(Initial testing with Python3.9)Documentation available at:https://stablecaps.github.io/helpohelpo/index.htmlRun./deploy_pdoc_documentation.shto update documentation with pdocDocumentation generated by portray