Metadata-Version: 2.4
Name: classcore
Version: 1.3.1
Summary: Foundational class factories and decorators.
Project-URL: Homepage, https://github.com/emcd/python-classcore
Project-URL: Documentation, https://emcd.github.io/python-classcore
Project-URL: Download, https://pypi.org/project/classcore/#files
Project-URL: Source Code, https://github.com/emcd/python-classcore
Project-URL: Issue Tracker, https://github.com/emcd/python-classcore/issues
Author-email: Eric McDonald <emcd@users.noreply.github.com>
License-Expression: Apache-2.0
License-File: LICENSE.txt
Keywords: dataclass,decorator,metaclass,protocol
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development
Requires-Python: >=3.10
Requires-Dist: dynadoc
Requires-Dist: typing-extensions
Description-Content-Type: text/x-rst

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*******************************************************************************
                                   classcore
*******************************************************************************

.. image:: https://img.shields.io/pypi/v/classcore
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   :target: https://pypi.org/project/classcore/

.. image:: https://img.shields.io/pypi/status/classcore
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   :alt: Code Coverage Percentage
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🏭 A Python library package which provides **foundational class factories and
decorators** for providing classes with attributes immutability and concealment
and other custom behaviors.


Key Features ⭐
===============================================================================

🔧 **Class Customization**: Composable decorators and metaclasses providing
classes with customized behaviors.

🔒 **Attribute Immutability**: Standard collection of metaclasses and
decorators to provide immutability for class and instance attributes, with
support for selective mutability via names, regexes, or predicates.

👁️ **Attribute Concealment**: Standard collection of metaclasses and decorators
to provide concealment for class and instance attributes, with support for
selective visibility via names, regexes, or predicates.

📚 **Dataclass Integration**: Decorators like
``dataclass_with_standard_behaviors`` make standard Python dataclasses with
immutability and concealment. (Unlike ``dataclass( frozen = True )``,
attributes can still be manipulated via ``__post_init__`` when one of these
decorators is applied.)

🧩 **Protocol Support**: Immutable protocol classes for nominal and structural
subtyping, compatible with ``typing.Protocol``. Immutability and concealment
are inherited by subclassed implementations of these protocols.

🗂️ **Module Reclassification**: Apply immutability and concealment to entire
modules.


Installation 📦
===============================================================================

Via `uv <https://github.com/astral-sh/uv/blob/main/README.md>`_ ``pip``
command:

::

    uv pip install classcore

Or, via ``pip``:

::

    pip install classcore


Note on Immutability 📢
===============================================================================

   Enforcement of immutability is quite difficult in Python. While this library
   encourages immutability by default, it can be circumvented by anyone who has
   intermediate knowledge of Python machinery and who is determined to
   circumvent the immutability. Use the library in the spirit of making
   programs safer, but understand that it cannot truly prevent unwanted state
   tampering.


Examples 💡
===============================================================================

Please see the `examples directory
<https://github.com/emcd/python-classcore/tree/master/documentation/examples>`_
for greater detail.

Standard Behaviors 🔒
-------------------------------------------------------------------------------

Produce classes which have immutable and concealed attributes and whose
instances have immutable and concealed attributes. Can be normal classes,
dataclasses, protocol classes, etc....

.. code-block:: python

    from dataclasses import field
    from math import sqrt

    from classcore.standard import DataclassObject

    class Point2d( DataclassObject ):
        x: float
        y: float
        hypotenuse: float = field( init = False )
        def __post_init__( self ) -> None:
            x, y = self.x, self.y
            self.hypotenuse = sqrt( x*x + y*y )

    Point2d.x = 3     # ❌ Error, immutable class attribute.
    point = Point2d( x = 3, y = 4 )
    point.x = 42      # ❌ Error, immutable instance attribute.
    point.hypotenuse  # Result: 5
    dir( point )      # Result: ['hypotenuse', 'x', 'y']

Decorate classes so that their instances will have immutable and concealed
attributes.

.. code-block:: python

    from dataclasses import field
    from math import sqrt

    from classcore.standard import dataclass_with_standard_behaviors

    @dataclass_with_standard_behaviors( )
    class Point2d:
        x: float
        y: float
        hypotenuse: float = field( init = False )
        def __post_init__( self ) -> None:
            x, y = self.x, self.y
            self.hypotenuse = sqrt( x*x + y*y )

    point = Point2d( x = 5, y = 12 )
    point.x = 42      # ❌ Error, immutable instance attribute.
    point.hypotenuse  # Result: 13
    dir( point )      # Result: ['hypotenuse', 'x', 'y']


Module Reclassification 📦
-------------------------------------------------------------------------------

Make modules (or entire packages) immutable to prevent direct modification of
their attributes and to present only their public attributes via ``dir``.

.. code-block:: python

    from classcore.standard import reclassify_modules

    reclassify_modules( __name__, recursive = True )


Use Cases 🎯
===============================================================================

* 📊 **Data Transfer Objects**: Ensure data integrity with immutable DTOs.
* 🏛️ **API Interfaces**: Define stable, well-controlled interfaces.
* 🧩 **Plugin Systems**: Plugin systems with controlled extension points.
* 📦 **Frameworks**: Frameworks with controlled extension and modification.


`More Flair <https://www.imdb.com/title/tt0151804/characters/nm0431918>`_
===============================================================================

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   :alt: GitHub last commit
   :target: https://github.com/emcd/python-classcore

.. image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/copier-org/copier/master/img/badge/badge-grayscale-inverted-border-orange.json
   :alt: Copier
   :target: https://github.com/copier-org/copier

.. image:: https://img.shields.io/badge/%F0%9F%A5%9A-Hatch-4051b5.svg
   :alt: Hatch
   :target: https://github.com/pypa/hatch

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   :target: https://github.com/pre-commit/pre-commit

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   :alt: Pyright
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.. image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json
   :alt: Ruff
   :target: https://github.com/astral-sh/ruff

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   :alt: PyPI - Implementation
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.. image:: https://img.shields.io/pypi/wheel/classcore
   :alt: PyPI - Wheel
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Other Projects by This Author 🌟
===============================================================================


* `python-absence <https://github.com/emcd/python-absence>`_ (`absence <https://pypi.org/project/absence/>`_ on PyPI) 

  🕳️ A Python library package which provides a **sentinel for absent values** - a falsey, immutable singleton that represents the absence of a value in contexts where ``None`` or ``False`` may be valid values.
* `python-accretive <https://github.com/emcd/python-accretive>`_ (`accretive <https://pypi.org/project/accretive/>`_ on PyPI) 

  🌌 A Python library package which provides **accretive data structures** - collections which can grow but never shrink.
* `python-dynadoc <https://github.com/emcd/python-dynadoc>`_ (`dynadoc <https://pypi.org/project/dynadoc/>`_ on PyPI) 

  📝 A Python library package which bridges the gap between **rich annotations** and **automatic documentation generation** with configurable renderers and support for reusable fragments.
* `python-falsifier <https://github.com/emcd/python-falsifier>`_ (`falsifier <https://pypi.org/project/falsifier/>`_ on PyPI) 

  🎭 A very simple Python library package which provides a **base class for falsey objects** - objects that evaluate to ``False`` in boolean contexts.
* `python-frigid <https://github.com/emcd/python-frigid>`_ (`frigid <https://pypi.org/project/frigid/>`_ on PyPI) 

  🔒 A Python library package which provides **immutable data structures** - collections which cannot be modified after creation.
* `python-icecream-truck <https://github.com/emcd/python-icecream-truck>`_ (`icecream-truck <https://pypi.org/project/icecream-truck/>`_ on PyPI) 

  🍦 **Flavorful Debugging** - A Python library which enhances the powerful and well-known ``icecream`` package with flavored traces, configuration hierarchies, customized outputs, ready-made recipes, and more.
* `python-mimeogram <https://github.com/emcd/python-mimeogram>`_ (`mimeogram <https://pypi.org/project/mimeogram/>`_ on PyPI) 

  📨 A command-line tool for **exchanging collections of files with Large Language Models** - bundle multiple files into a single clipboard-ready document while preserving directory structure and metadata... good for code reviews, project sharing, and LLM interactions.
