src.pydasa.validations.patterns
===============================

.. py:module:: src.pydasa.validations.patterns

.. autoapi-nested-parse::

   Module patterns.py
   ===========================================

   Regex patterns for validation and parsing in PyDASA.

   Contains:
       - LaTeX validation patterns
       - FDU (Fundamental Dimensional Unit) matching patterns
       - Default and working pattern sets for dimensional analysis



Attributes
----------

.. autoapisummary::

   src.pydasa.validations.patterns.LATEX_RE
   src.pydasa.validations.patterns.LATEX_VAR_TOKEN_RE
   src.pydasa.validations.patterns.DFLT_POW_RE
   src.pydasa.validations.patterns.PI_COEF_RE
   src.pydasa.validations.patterns.PI_POW_RE
   src.pydasa.validations.patterns.NUM_CONST_RE
   src.pydasa.validations.patterns.BASIC_OPS_RE
   src.pydasa.validations.patterns.IGNORE_EXPR


Module Contents
---------------

.. py:data:: LATEX_RE
   :type:  str
   :value: '\\\\?[a-zA-Z]+(?:_\\{[a-zA-Z0-9_]+\\})?'


   LaTeX regex pattern to match LaTeX symbols (e.g., '\alpha') with optional subscripts (e.g., '\mu_{1}', '\lambda_{s}') in *PyDASA*.

.. py:data:: LATEX_VAR_TOKEN_RE
   :type:  str
   :value: '(\\\\[A-Za-z]+|[A-Za-z][A-Za-z0-9]*)(?:_(?:[A-Za-z0-9]+|\\{(?:[^{}]|\\{(?:[^{}]|\\{(?:[^{}]|\\{(...


   Regex pattern to match LaTeX-like variable tokens with optional subscripts,
   supporting up to 5 levels of nested braces inside subscripts.

   .. rubric:: Examples

   '\alpha', '\mu_{1}', 'M_{buf_{AS}}', 'M_{a*(c*t_{R_{P*(A*(C*S))}})}'

.. py:data:: DFLT_POW_RE
   :type:  str
   :value: '\\-?\\d+'


   Default regex to match FDUs with exponents (e.g., 'M*L^-1*T^-2' to 'M^(1)*L^(-1)*T^(-2)').

.. py:data:: PI_COEF_RE
   :type:  str
   :value: '\\\\Pi_\\{\\d+\\}'


   Regex pattern to match dimensionless coefficients in *PyDASA* (e.g, '\Pi_{1}', '\Pi_{2}').

.. py:data:: PI_POW_RE
   :type:  str
   :value: '(\\\\Pi_\\{\\d+\\})\\s*\\*\\*\\s*\\(([^)]+)\\)'


   Regex pattern to match dimensionless coefficients with power operations in *PyDASA* (e.g., '\Pi_{1}**(-2)').

.. py:data:: NUM_CONST_RE
   :type:  str
   :value: '^[-+]?\\d*\\.?\\d+(?:[eE][-+]?\\d+)?$'


   Regex pattern to match numeric constants (e.g., '3.14', '-2.5e3') in *PyDASA*.

.. py:data:: BASIC_OPS_RE
   :value: '(\\*|\\/|\\+|\\-|\\^)'


   Regex pattern to split expressions by basic operations (*, /, ^, +, -) in *PyDASA*.

.. py:data:: IGNORE_EXPR

   Set of LaTeX expressions to ignore during parsing in *PyDASA*.