code: def get_sheet_data(
      self, sheet, file_rows_needed: int | None = None
  ) -> list[list[Scalar]]:
      if self.book.read_only:
          sheet.reset_dimensions()
  
      data: list[list[Scalar]] = []
      last_row_with_data = -1
      for row_number, row in enumerate(sheet.rows):
          converted_row = [self._convert_cell(cell) for cell in row]
          while converted_row and converted_row[-1] == "":
              # trim trailing empty elements
              converted_row.pop()
          if converted_row:
              last_row_with_data = row_number
          data.append(converted_row)
          if (
              file_rows_needed is not None
              and len(data) >= file_rows_needed
          ):
              break
  
      # Trim trailing empty rows
      data = data[: last_row_with_data + 1]
  
      if len(data) > 0:
          # extend rows to max width
          max_width = max(len(data_row) for data_row in data)
          if min(len(data_row) for data_row in data) < max_width:
              empty_cell: list[Scalar] = [""]
              data = [
                  data_row + (max_width - len(data_row)) * empty_cell
                  for data_row in data
              ]
  
      return data
  
imports: from __future__ import annotations
  import mmap
  from typing import TYPE_CHECKING, Any, cast
  import numpy
  from pandas.compat._optional import import_optional_dependency
  from pandas.util._decorators import doc
  from pandas.core.shared_docs import _shared_docs
  from pandas.io.excel._base import BaseExcelReader, ExcelWriter
  from pandas.io.excel._util import combine_kwargs, validate_freeze_panes
label_desc: Use image node_id 8 for calling the OpenpyxlReader obj's underlying member method code with example usage: obj.get_sheet_data(sheet, file_rows_needed) and returns: data