function-pipe


Namefunction-pipe JSON
Version 2.1.2 PyPI version JSON
download
home_pagehttps://github.com/InvestmentSystems/function-pipe
SummaryTools for extended function composition and pipelines
upload_time2023-11-01 22:56:00
maintainer
docs_urlNone
authorChristopher Ariza, Charles Burkland
requires_python
licenseMIT
keywords functionnode pipenode composition pipeline pipe
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage
            .. image:: https://img.shields.io/pypi/pyversions/function-pipe.svg
  :target: https://pypi.org/project/function-pipe

.. image:: https://img.shields.io/pypi/v/function-pipe.svg
  :target: https://pypi.org/project/function-pipe

.. image:: https://img.shields.io/codecov/c/github/InvestmentSystems/function-pipe.svg
  :target: https://codecov.io/gh/InvestmentSystems/function-pipe

.. image:: https://img.shields.io/github/workflow/status/InvestmentSystems/function-pipe/Test?label=test&logo=Github
  :target: https://github.com/InvestmentSystems/function-pipe/actions?query=workflow%3ATest

.. image:: https://img.shields.io/github/workflow/status/InvestmentSystems/function-pipe/Quality?label=quality&logo=Github
  :target: https://github.com/InvestmentSystems/function-pipe/actions?query=workflow%3AQuality

.. image:: https://img.shields.io/readthedocs/function-pipe.svg
  :target: https://function-pipe.readthedocs.io/en/latest

.. image:: https://img.shields.io/pypi/status/function-pipe.svg
  :target: https://pypi.org/project/function-pipe

function-pipe
=============

The function-pipe Python module defines the class FunctionNode (FN) and decorators to create the derived-class PipeNode (PN). FNs are wrappers of callables that permit returning new FNs after applying operators, composing callables, or partialing. This supports the flexible combination of functions in a lazy and declarative manner.

PipeNodes (PNs) are FNs prepared for extended function composition or dataflow programming. PNs, through a decorator-provided, two-stage calling mechanism, expose to wrapped functions both predecessor output and a common initial input. Rather than strictly linear pipelines, sequences of PNs can be stored and reused; PNs can be provided as arguments to other PNs; and results from PNs can be stored for later recall in the same pipeline.

Code: https://github.com/InvestmentSystems/function-pipe

Docs: http://function-pipe.readthedocs.io

Packages: https://pypi.python.org/pypi/function-pipe
            

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