docstr: Find and decode OpenDocument text:s tags that represent
  a run length encoded sequence of space characters.
docstr_tok: ["Find","and","decode","OpenDocument","text",":","s","tags","that","represent","a","run","length","encoded","sequence","of","space","characters","."]
code: def _get_cell_string_value(self, cell) -> str:
      """
      Find and decode OpenDocument text:s tags that represent
      a run length encoded sequence of space characters.
      """
      from odf.element import Element
      from odf.namespaces import TEXTNS
      from odf.text import S
  
      text_s = S().qname
  
      value = []
  
      for fragment in cell.childNodes:
          if isinstance(fragment, Element):
              if fragment.qname == text_s:
                  spaces = int(
                      fragment.attributes.get((TEXTNS, "c"), 1)
                  )
                  value.append(" " * spaces)
              else:
                  # recursive impl needed in case of nested fragments
                  # with multiple spaces
                  # https://github.com/pandas-dev/pandas/pull/36175#discussion_r484639704
                  value.append(self._get_cell_string_value(fragment))
          else:
              value.append(str(fragment).strip("\n"))
      return "".join(value)
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, cast
  import numpy
  from pandas._typing import FilePath, ReadBuffer, Scalar, StorageOptions
  from pandas.compat._optional import import_optional_dependency
  from pandas.util._decorators import doc
  import pandas
  from pandas.core.shared_docs import _shared_docs
  from pandas.io.excel._base import BaseExcelReader
label_desc: Use image node_id 13 for calling the ODFReader obj's underlying member method code with example usage: obj._get_cell_string_value(cell) and returns: str