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*******************************************************************************
                                   accretive
*******************************************************************************

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🌌 A Python library package which provides **accretive data structures** -
collections which can grow but never shrink.


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

* 📖 **Accretive Dictionary**: Like a regular `dict
  <https://docs.python.org/3/library/stdtypes.html#dict>`_, but entries cannot
  be modified or removed once added. Also has variants with defaults and
  validation.
* 🗃️ **Accretive Namespace**: Similar to `SimpleNamespace
  <https://docs.python.org/3/library/types.html#types.SimpleNamespace>`_, but
  attributes become immutable after assignment.
* 🧱 **Additional Types**: Classes (including abstract base classes), modules,
  and objects with accretive behavior.
* 🏗️ **Flexible Initialization**: Support for unprotected attributes during
  initialization; useful for compatibility with class decorators, such as
  `dataclasses
  <https://docs.python.org/3/library/dataclasses.html#dataclasses.dataclass>`_.
* 🔓 **Flexible Mutability**: Support for declaring specific attributes as
  mutable, enabling selective modification while maintaining immutability for
  other attributes.


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

::

    pip install accretive


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 💡
===============================================================================


Accretive Namespaces 🗃️
-------------------------------------------------------------------------------

An accretive namespace, similar to ``types.SimpleNamespace``, is available.
This namespace can be initialized from multiple iterables and from keyword
arguments. (Keyword arguments shown below; see documentation for additional
forms of initialization.)

>>> from accretive import Namespace
>>> ns = Namespace( apples = 12, bananas = 6 )
>>> ns.cherries = 42  # ✅ Allows new attributes.
>>> ns.apples = 14    # ❌ Attempted reassignment raises error.
Traceback (most recent call last):
...
accretive.exceptions.AttributeImmutability: Could not assign or delete existing attribute 'apples'.
>>> del ns.apples     # ❌ Attempted deletion raises error.
Traceback (most recent call last):
...
accretive.exceptions.AttributeImmutability: Could not assign or delete existing attribute 'apples'.
>>> ns
accretive.namespaces.Namespace( apples = 12, bananas = 6, cherries = 42 )


Accretive Dictionaries 📖
-------------------------------------------------------------------------------

An accretive dictionary, similar to ``dict``, is available. This dictionary can
be initialized from multiple iterables and from keyword arguments. (Keyword
arguments shown below; see documentation for additional forms of
initialization.)

>>> from accretive import Dictionary
>>> dct = Dictionary( apples = 12, bananas = 6 )
>>> dct[ 'cherries' ] = 42  # ✅ Allows new entries.
>>> dct.update( blueberries = 96, strawberries = 24 )
accretive.dictionaries.Dictionary( {'apples': 12, 'bananas': 6, 'cherries': 42, 'blueberries': 96, 'strawberries': 24} )
>>> dct[ 'bananas' ] = 11   # ❌ Attempted alteration raises error.
Traceback (most recent call last):
...
accretive.exceptions.EntryImmutability: Could not alter or remove existing entry for 'bananas'.
>>> del dct[ 'bananas' ]    # ❌ Attempted removal raises error.
Traceback (most recent call last):
...
accretive.exceptions.EntryImmutability: Could not alter or remove existing entry for 'bananas'.
>>> dct
accretive.dictionaries.Dictionary( {'apples': 12, 'bananas': 6, 'cherries': 42, 'blueberries': 96, 'strawberries': 24} )


Accretive Objects 🧱
-------------------------------------------------------------------------------

The ``accretive`` decorator can be applied to any class to make its instances enforce attribute immutability after assignment.

>>> from accretive import with_standard_behaviors
>>> @with_standard_behaviors
... class Config:
...     def __init__( self, debug = False ):
...         self.debug = debug
...
>>> config = Config( debug = True )
>>> config.verbose = True  # ✅ Allows new attributes
>>> config.debug = False   # ❌ Attempted reassignment raises error
Traceback (most recent call last):
...
accretive.exceptions.AttributeImmutability: Could not assign or delete existing attribute 'debug'.


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

* 📝 **Configuration Registries**: Registries which can accumulate entries but
  never remove them, thereby guaranteeing sticky state.
* 🔌 **Plugin Systems**: Register extensions which are then guaranteed to be
  available from the time of registration to the end of the process.
* 🔒 **Immutable Collections**: Many scenarios requiring grow-only collections
  with immutability guarantees.


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

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

  🏭 A Python library package which provides **foundational class factories and decorators** for providing classes with attributes immutability and concealment and other custom behaviors.
* `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.
