sec_parser.processing_steps.text_element_merger
===============================================

.. py:module:: sec_parser.processing_steps.text_element_merger


Classes
-------

.. autoapisummary::

   sec_parser.processing_steps.text_element_merger.TextElementMerger


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

.. py:class:: TextElementMerger

   Bases: :py:obj:`sec_parser.processing_steps.abstract_classes.abstract_element_batch_processing_step.AbstractElementBatchProcessingStep`


   TextElementMerger is a processing step that merges adjacent text elements
   For example, TextElement(<span></span>) and TextElement(<span></span>)
   into a single TextElement(<span></span><span></span>).

   Intended to fix weird formatting artifacts, such as:
       <ix:nonnumeric contextref="c-1" name="us-gaap:PropertyPlantAndEquipmentTextBlock" id="f-989" escape="true">
           <span style="background-color:#ffffff;color:#000000;font-family:'Arial',sans-serif;font-size:10pt;font-weight:400;line-height:120%">Property and equipment, net, co</span>
           <span style="color:#000000;font-family:'Arial',sans-serif;font-size:10pt;font-weight:400;line-height:120%">nsisted of the following (in millions):</span>
       </ix:nonnumeric>
   Notice, how text is split into two spans, even though it's a single sentence.
   Source: https://www.sec.gov/Archives/edgar/data/1652044/000165204423000094/goog-20230930.htm


   .. py:method:: _process_elements(elements: list[sec_parser.semantic_elements.abstract_semantic_element.AbstractSemanticElement], _: sec_parser.processing_steps.abstract_classes.processing_context.ElementProcessingContext) -> list[sec_parser.semantic_elements.abstract_semantic_element.AbstractSemanticElement]


   .. py:method:: _merge(elements: list[sec_parser.semantic_elements.abstract_semantic_element.AbstractSemanticElement]) -> sec_parser.semantic_elements.abstract_semantic_element.AbstractSemanticElement
      :classmethod: