Saravanan666/pypi-org huggingface dataset:
Package: pipenv-check
# pipenv-checkMoved the color_print and BColors class, which were defined inside the main function, outside the main function to increase the readability of the code.An error occurred when you tried to directly convert the result of subprocess.check_output([“pip”, “list”, “–format=json”]) to JSON. Since this output is a byte array, you must first convert this output to a character array. This was accomplished with decode(‘utf-8’) .At the same time, this operation may result in any errors (for example, if pip is not found or returns an error). Therefore, I enclosed this code in a try-except block and informed the user when the error occurred and terminated the program.After calling the ThreadPool’s close method, we also called the join method. This waits for all threads to complete and provides more predictable program behavior.
Package: pipenv-d
pipenv-d: Adirty hack ofpipenvpipenv-dis a dirty hack ofpipenv.TL;DR, I wantthis feature, sopipenvcan support multiple platform-specific lock files.Why? Because some of my colleagues are usingx86_64machine and some are using Apple silicon (such asm1). As a result, when some of them lock dependencies on one machine, high chances is that the lock file may not work on the others, especially for machine learning applications which heavily rely on extension modules (Cython,pybind11,Numba..etc) and are very platform-specific.I am just so tired of fixing dependency issues for them. I NEED platform-specific lock file support ASAP.Installationviapip$python3-mpipinstallpipenv-dUsageSimple, whenever you want to runpipenvin the console, replace it withpipenv-d.pipenv-dworks exactly the same aspipenvexcept that it will create platform-specific lock file in your project instead of singlePipfile.lock.Demoinstall packages in your project withpipenv-dplatform-specific lock file will be generated in.pipenv.d/To regenerate the virtual environment, simply runpipenv-d installagain, just like what you would do withpipenv.How it works?Simple, everytimepipenvgenerate aPipfile.lock, move it to.pipenv.ddirectory and give it a platform-specific name.If any platform-specific-named lock file found in.pipenv.dwhenpipenv-dis executed, copy the content toPipfile.lockin the working directory and invokepipenvcommand afterward.Afterpipenvexits, movePipfile.lockback to.pipenv.d.
Package: pipenv-devcheck
pipenv-devcheckpipenv-devcheckis a command-line utility for helping python package developers
ensure that their development environments match what they are expecting of
their users' environments.At Neighborhoods, some developers utilize Pipenv as a dependency management
system during development, allowing for assurance that an entire development
team is working with an identical environment. While Pipenv is an extremely
helpful development tool, it is not an all-in-one solution to development
challenges.When a user installs a python package, for example, the dependencies they
need are specified not in Pipenv'sPipfile, but insetup.py. As a result,
it is possible for a developer to change the dependencies they are using
without reflecting those changes in the environment expected for package usage.pipenv-devcheckis a lightweight command-line tool to check for such mistakes.
If a project is found to have discrepancies between the development and user
environments, an error is thrown, allowing for detection by CI tools. While
simple in nature, this check can prevent annoying issues such as revising a
package release to update requirements, or developers having difficulty
with helping users debug due to a hidden environment difference.After installation, simply runpipenv-devcheckat the root of a package
via the command line to use!DisclaimerThis tool is not designed to check for implicit compatibility issues between
package versions. It will only check if the version numbers specified in a
package's dependency files theoretically are compatible. Please consult the
source of the individual packages if implicit compatibility issues arise.This project is licensed under the terms of the MIT license.
Package: pipenv-pex
# pipenv-pex
Quickly create [PEX](https://github.com/pantsbuild/pex) files out of your
Pipenv projects using this one simple command!PEX files are an expansion upon [zipapp](https://docs.python.org/3/library/zipapp.html)s. You can bundle your application’s modules along with their dependencies into one file, executable using a Python interpreter.## Installation
Using the lovely [pipx](https://github.com/pipxproject/pipx):pipx install pipenv-pex## Usage` shell cdproject-with-pipfilepipenv-pex--entry-point"epic_project:main" python./project-with-pipfile.pex`-–entry-pointargument should have the form “pkg.mod:fn”, where “pkg.mod” is a package/module in the archive, and “fn” is a callable in the given module. (taken from[here](https://docs.python.org/3/library/zipapp.html#command-line-interface))
- All parameters except–excludeare passed directly to PEX,–entry-pointbeing one of them.## Why not use pex directly?
Sincepipenx-pexpiggybacks on the informaton in yourPipfile, some automations become possible:
- Dependencies are fetched from your Pipfile, so you don’t have to update your Makefile each time you change a dependency in your Pipfile
- _(unrelated to pipenv actually)_ Irrelevant noise files are ignored when bundling the modules (such as .mypy_cache, __pycache__ etc.), saving a few precious MBs :) additional files and directories can be added to this list via the–excludeparameter.
Package: pipenv-pipes
PipesPipenv Environment Switcher âš¡OverviewPipes is a Pipenv companion CLI tool that provides a
quick way to jump between your pipenv powered projects.DocumentationDocumentation is hosted onpipenv-pipes.readthedocs.ioLicenseMIT LicenseCreditsPackage created withCookiecutter+cookiecutter-pypackageAuthorSend me a message ontwitterHistory0.7.0 (2018-11-07)Add–deletefeature0.6.3 (2018-05-27)Add Color to paths on activationFix: Autocompletion with no envs - Issues #18Separated curses dependency for Windows0.6.2 (2018-05-19)Fix Windows Python Version getter call0.6.1 (2018-05-15)Fix Python binary version detect callImproved testing speed and fixtures”0.6.0 (2018-05-15)Added completion helper flag and completion docs0.5.1 (2018-05-13)Bug fix: Setup.py missing picker package0.5.0 (2018-05-12)Curses InterfaceShow Python Version0.4.2 (2018-05-06)Fixed Envname character bugAdded –versionAddedFull Test SuiteAdde Windows Default Path supportCleanned up dependenciesCleanned up env validation0.4.1 (2018-05-02)Allow New Line on Read (PR #3)Typo PR #20.4.0 (2018-05-02)Renamed Set/Unset to Link/UnlinkUse pipenv –venv to verify project directoryImproved Set/Unset CLIImproved validation for Project DirectoriesNew CLI API (single command for simplicity)Indicates if has project directory set on project listUpdated Verbose Project ListDisallow Pipes when VENV is active.Added Colorama0.1.0First release on PyPI.
Package: pipenv-poetry-migrate
pipenv-poetry-migrateThis is simple migration script, migrate pipenv to poetry.:rocket: Get StartedInstallation$ pip install -U poetry pipenv-poetry-migrateMigrationStep 1: Createpyproject.tomlfile$ poetry initStep 2: MigrateTo migratePipfiletopyproject.toml.$ pipenv-poetry-migrate -f Pipfile -t pyproject.tomlWhen want to run dry-run mode:$ pipenv-poetry-migrate -f Pipfile -t pyproject.toml -nDry-run mode ispyproject.tomlfile does not overwrite, results are displayed on standard output.NoteIf the dependency already exists in the poetry dependency and you want to re-migrate it, please use the--re-migrateoption.
However, if the dependency is removed from pipenv, the poetry dependency is not removed.$ pipenv-poetry-migrate -f Pipfile -t pyproject.toml --re-migrateNoteThe default behavior is to migrate with thegroup notation, which has been available since Poetry 1.2.0.
If you want to migrate withdev-dependenciesnotation, please use the--on-use-group-notationoption.$ pipenv-poetry-migrate -f Pipfile -t pyproject.toml --no-use-group-notationStep 3: Generate lock file$ poetry lockIf there is already apoetry.lockfile, remove it first.Step 4: Installing dependenciesTo install the defined dependencies for your project.$ poetry installExample outputThis is an example of a Pipfile to be migrated.[[source]]url="https://pypi.python.org/simple"verify_ssl=truename="pypi"[packages]requests="*"[dev-packages]pytest="^5.2"Migrate the above file to the following pyproject.toml.[tool.poetry]name="migration-sample"version="0.1.0"description=""authors=["Yoshiyuki HINO <yhinoz@gmail.com>"][tool.poetry.dependencies]python="^3.7"[tool.poetry.group.dev.dependencies][build-system]requires=["poetry-core"]build-backend="poetry.core.masonry.api"By executing this script, pyproject.toml is rewritten as follows.[tool.poetry]name="migration-sample"version="0.1.0"description=""authors=["Yoshiyuki HINO <yhinoz@gmail.com>"][tool.poetry.dependencies]python="^3.7"requests="*"[tool.poetry.group.dev.dependencies]pytest="^5.2"[build-system]requires=["poetry-core"]build-backend="poetry.core.masonry.api":handshake: ContributingFork and clone the repository, and create the development branch.Runpoetry installto setup your develop environment.Do your code.Runbash scripts/test.shto check that your test passed.Runbash scripts/format.shandbash scripts/lint.shto check that you haven't warnings.Open a PR on GitHub.Test casesTest cases are intests/toml, updatePipfilewith additional entries andexpect_pyproject.tomlwith expected output.:pencil: License
Package: pipenv-publisher
Pipenv integration for setuptools.InstallFrom pypipipenvinstallpipenv-publisherFrom gitpipenvinstallhttps://github.com/kpostekk/pipenv-publisher.git#egg=publisherInitialise in your projectpipenv-pubsetuptoolssetupAfter this, remember to update package's meta in Pipfile!UsageSync versionpipenv-pubstamp.# or pipenv run stampYou can replace dot with package nameRemember to add this into your__init__.pyfrommypkg._versionimport__version__,__author__Tip: in PyCharm you can enable file watcher to automate this task.Lock before buildpipenv-pubsetuptoolslock# or pipenv run pub setuptools lockFAQWhere I should define all setuptools's stuff?Insetupsection of pipfileHow about myREADME.mdorREADME.rst, where I should declare it?Nowhere! It's magiaclly detected and added to setuptools.What issetup-lock.jsonThis a file with, peresistent lock of sectionsetupfrom Pipfile. It has all configuration forsetup.py, includinginstall_requires. Itshouldn'tbe in.gitignoreCan I still usesetup.cfgYes.Why does it exist?Because I can and there isn't any good tool to integratesetuptoolsandPipenv.Examples?This repo is an example lmao.
Package: pipenv-shebang
pipenv-shebangpipenv-shebangallows you to put scripts in your path that run in a pipenv environment.This solves the problem of launchingpipenv run script.pyfrom outside the script directory.UsagePut this shebang at the top of your script:#!/usr/bin/env pipenv-shebangYou can also run your script withpipenv-shebang /path/to/scriptInstallationsudo pip install pipenv-shebang

# or
pip install --user pipenv-shebang
Package: pipenv-tools
# pipenv_toolsThe missing tools forPipenv## Installpipenv install pipenv_tools## The Tools### buildpipenv tools prepare_setup –options –paramsThis command will parse the contents of yourPipfileand generate asetup.pyfile and other required artifacts.If passing–plainonly asetup.pywill be created, but by default it createssetup.py,setup.py,pyproject.tomlandMANIFEST.infiles.> NOTE: by default theMANIFEST.inwill be generated according to your VCS files.gitignorefor example. Or taking argument from your Pipfile.### Publishpipenv tools publish –optionsUsestwineto release your package to PyPI but before it will execute acheckforsafetyissues and also if–bump minor|major|fixis passed it will also
invokepipenv tools bumpversion
Package: pipeop
In the Elixir programming language the|>pipe operator allows you
to chain together multiple function calls so that this:c(b(a(1, 2), 3, 4))can be written more readably as:1 |> a(2) |> b(3, 4) |> c()All the pipe operator does is pass its left operand as the first argument of
the right operand, so thata |>b(...)becomesb(a,...).Various pipe implementations in Python to date allow a list of functions to be
applied to an initial value, but do not support the partial, missing first
argument syntax of Elixir.This library provides a function decorator that causes Python>>right
shift operators within the function to act exactly like Elixir pipes:from pipeop import pipes

def add(a, b):
    return a + b

def times(a, b):
    return a * b

@pipes
def calc()
    print 1 >> add(2) >> times(3)  # prints 9Functions can have any number of arguments:def add3(a, b, c):
    return a + b + c

@pipes
def calc()
    print 1 >> add3(2, 3)  # prints 6In Elixir libraries the first argument of a function is chosen with pipes in
mind but this is (obviously) not the case in Python - for instance the
enumerable args ofmapandreduceare first in their Elixir equivalents
but last in Python. For this reason I’ve also redefined the left shift operator<<toappendit’s left operand to the list of call arguments of the right
operand:@pipes
def my_pow():
  print 2 >> pow(3)  # prints 8
  print 2 << pow(3)  # prints 9You can drop the braces for functions or lambdas (enclosed in braces) with a single argument:@pipes
def sum(self):
    print [1, 2, 3] >> sum  # prints 6
    print 1 >> (lambda x: x + 1)  # prints 2In Elixir pipes are often laid out one per line. In Python you need brackets to do the
same thing without line continuations, but it still looks pretty neat:@pipes
def pretty_pipe():
  print (
      range(-5, 0)
      << map(lambda x: x + 1)
      << map(abs)
      << map(str)
      >> tuple
  )  # prints ('4', '3', '2', '1', '0')The decorator can also be applied to a class to decorate all the methods in that class.Normally there should be a small amount of processing overhead on the first time the
function is defined due to the function being recompiled. Otherwise there should be
no difference to the performance of the conventionally nested call code.This is initial alpha code. It has been tested on Python 2.7.14 and 3.6.5 using
simple functions. Source line attributes are preserved so debuggers should be
able to follow the code as it executes. Pull requests and bug reports gratefully
accepted.Robin HilliardPS: Thanks to https://github.com/Stvad for submitting the first issue with some
great suggestions.
Package: pipeplot
pipeplot draws an interactive graph in a terminal based on data from pipe.InstallationpipinstallpipeplotExamples of usingGraphical ping:pingya.ru|grep--line-bufferedtime|sed-u-e's#.*time=\([^ ]*\).*#\1#'|pipeplot--min0Chart of deaths per minute from coronavirus:whiletrue;\docurl-shttps://coronavirus-19-api.herokuapp.com/all\|jq'.deaths';\sleep60;\done\|pipeplot--color1--directionleftAPI:https://github.com/javieraviles/covidAPIRender graphite to console:whiletrue;\do\curl-s'http://graphite/render?target=my_app_rps_error&format=json&from=-5min&until=now'\|jq-c'.[0].datapoints[-1]';\sleep5;\done\|sed-us/null/0/\|stdbuf-oLuniq\|stdbuf-oLjq'.[0]'\|pipeplot
Package: piperblue
PiperblueThe base package to extend to create aPiperBlueprint.What is a Piper BlueprintA Piper Blueprint is a tool to speed up the creation of new projects.Instead of manually create repetitive folder structures, you can usepiper blueprintto make them for you.A Piper Blueprint is a Python package that is used by Piper to create a Pipe (for instance, another Python package) with a well-known structure easily.There are plenty of public Blueprint to use that should cover most needs.How to use a BlueprintOnce you have choosen the perfect Blueprint (or you have created one by yourself, as explained below), you are ready to create ablueprint.ymlfile and then runpiper blueprint, which will look for it.In theblueprint.ymlyou have to specify the structure of your Pipes. For instance, to create a project like this:common/
microservices/
    first/
    second/You have to write:pipes:

  common:
    blueprint: <chosen blueprint package>==<version>
    config:
      ...

  microservices:
    pipes:

      first:
        blueprint: <chosen blueprint package>==<version>
        config:
          ...

      second:
        blueprint: <chosen blueprint package>==<version>
        config:
          ...Please refer to the documentation of the specific Blueprint to know how to write the relative section of theblueprint.yml.Creating a Piper BlueprintTo create a Piper Blueprint, you have to alternatively:(Recommended)Use thepiperblueblueBlueprint withpiper blueprint, to start with your Blueprint projectSetup a Python package with a particular structureAn example of a Blueprint can be foundhere.(Recommended) Using PiperblueblueFollow thePiperblueblueinstructions to create the base structure of your BlueprintModify the content ofresources/blueprintfolderadding/changing the files you want to be present in your generated PipeModify theblueprint.pyscriptextending the proper methods of the base classManual creation of a BlueprintAblueprint.pyscriptwith a single class extendingPiperBlueprint(from piperblue.blueprint import PiperBlueprint)extending the proper methods of the super classAresourcesfolderwith ablueprintfoldercontaining the files you want to be present in your generated pipeAlso, remember to explicit thepiperbluerequirement (for instance in apipe.ymlif you are using Piper to develop it)
Package: piperbook
PiperBookConverts an epub to a directory of mp3s usingpiper-tts.$piperbook-s1.0-p0.5-v"en_US-ryan-high"test.epubauthor/test19:55:27MainThreadChapterscount:5.19:55:27MainThreadConvertingchapters1to5.19:55:35worker-0[✓]Wrotefile1_test_epub.mp319:55:39worker-1[✓]Wrotefile2_test_epub.mp319:58:12worker-1[✓]Wrotefile3_test_epub.mp319:59:27worker-0[✓]Wrotefile4_test_epub.mp320:00:54worker-1[✓]Wrotefile5_test_epub.mp320:00:56MainThreadCleanedup0fromcache.Supports voices models as listed on thepiper ReadmeUsageusage: piperbook [-h] [--start START] [--end END] [-s SPEED] [-v VOICE] [-p PAUSE] [-c] [-j PROCESSES] epub audiobook-folder

Convert epub file to audiobook directory of mp3s

positional arguments:
  epub                  Epub file
  audiobook-folder      Destination folder for the mp3 files

options:
  -h, --help            show this help message and exit
  --start START         chapter to start from [default: 1]
  --end END             chapter to finish at [default: -1]
  -s SPEED, --speed SPEED
                        speed of the generated audio (lower is faster!) [default: 1.0]
  -v VOICE, --voice VOICE
                        voice to use for the generated audio. To see valid options, see the docs for piper [default: en_US-ryan-high]
  -p PAUSE, --pause PAUSE
                        length of pauses between sentences [default: 0.5]
  -c, --clobber         overwrite existing files [default: False]
  -j PROCESSES, --processes PROCESSES
                        number of piper processes to use. Keep this value low--piper is threaded already. [default: 2]InstallationTested on Debian 12.$aptinstallpythonpython-pipffmpeg
$pipinstallpiperbook
$piperbook--helpBugsChapter detection and naming is very imperfect. Patches welcome.TODOm4b format support.Use piper more intelligentlyCreditEpub chapterising logic stolen fromepub_to_audiobook.
Package: piperider-cli
PipeRiderFor data practitioner who wants to trust their data by:Defining the shape of data, so they canmake sure the data will be expected in the futureSave time on debugging data,easily discover & discuss any data problems from upstreamSociallycollaborate across teams on the dataset through data catalog and data insightsInstall$pipinstallpiperider-cliInstall with connectorsBy default, we support the built-in sqlite connector, there are extra connectors:snowflakepostgresInstall with postgres connector:pip install piperider-cli[postgres]It could be more than one connector with comma:pip install piperider-cli[postgres,snowflake]CommandAttach piperider to a dbt project$piperider-cliinitThis command creates/.piperiderunder a dbt project root and generate necessary configurations.Scan models$piperider-clirunThis command scans the models from datasource and create assessment results in/.piperider/outputGenerate reports$piperider-cligenerate-report<piperiderresultfile>generate a static html report under current path.
Package: piperider-python-sdk
PipeRider SDK For PythonThe PipeRiper SDK for Python enables you to access and manipulate project resources in your PipeRider account.Installationpipinstallpiperider-python-sdkConfigurationTo use the SDK you will need to obtain an API key. This can be done from theUser Settingspage of your account.https://app.piperider.io/settingsConfigure your API key using one of the following methods.Store API key in an environment variableUsers can set the API key as an environment variable.exportPIPERIDER_API_KEY=<user_api_key>Configure API key using the set_api_key functionSet your API key using theset_api_keyfunction.importPipeRiderPipeRider.set_api_key('api-key')UsageImport the PipeRider module.importPipeRiderCreate a project.project=PipeRider.create_project('my-project')Use an existing project.project=PipeRider.project_by_uid('6f9f6eb9-8657-4761-9e32-116f1b8cfb82')Create a run and save the settings for a machine learning project.withproject.runs.create(name='Awesome Run')asrun:run.config={'learning_rate':0.02,'architecture':'CNN','dataset':'TKNV-users',}run.params={'batch_size':64,'epoch':100,'learning_rate':0.005}Add a dataset. This will enable you to more easily trace your model lineage.run.add_dataset('golden-dataset')Comments can also be added to the timeline.project.comment('it is a good idea.')If the run achieves the desired performance it can be registered as a model by declaring it awin.run.win()