Installation 📦

Install via uv pip command:

uv pip install falsifier

Or, install via pip:

pip install falsifier

Examples 💡

The Falsifier class provides a base for creating objects that evaluate to False in boolean contexts:

>>> from falsifier import Falsifier
>>> obj = Falsifier( )
>>> bool( obj )
False

Identity-based equality ensures each instance is only equal to itself:

>>> obj2 = Falsifier( )
>>> obj == obj2
False
>>> obj == obj
True

Subclass to create domain-specific falsey types:

>>> class AbsentValue( Falsifier ):
...     ''' Represents an explicitly absent value. '''
...     def __str__( self ) -> str:
...         return 'absent'
>>> absent = AbsentValue( )
>>> bool( absent )
False

See documentation/examples/objects.rst for more patterns, including singletons and collection usage.

Use Cases 🎯

• 🚩 Sentinel Objects: Base class for creating unique sentinel objects that evaluate to False.

• 🕳️ Absence Indicators: Foundation for creating objects that represent absence or invalidity when None or False may be valid.

Contribution 🤝

Contribution to this project is welcome! However, it must follow the code of conduct for the project.

Please file bug reports and feature requests in the issue tracker or submit pull requests to improve the source code or documentation.

For development guidance and standards, please see the development guide.

Additional Indicia

Other Projects by This Author 🌟

• python-absence (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 (accretive on PyPI)

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

• python-classcore (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-detextive (detextive on PyPI)

  🕵️ A Python library which provides consolidated text detection capabilities for reliable content analysis. Offers MIME type detection, character set detection, and line separator processing.

• python-dynadoc (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-frigid (frigid on PyPI)

  🔒 A Python library package which provides immutable data structures - collections which cannot be modified after creation.

• python-icecream-truck (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-librovore (librovore on PyPI)

  🐲 Documentation Search Engine - An intelligent documentation search and extraction tool that provides both a command-line interface for humans and an MCP (Model Context Protocol) server for AI agents. Search across Sphinx and MkDocs sites with fuzzy matching, extract clean markdown content, and integrate seamlessly with AI development workflows.

• python-mimeogram (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.