parameters: (alternative_matrix_quantitative: list,
                                           alternative_matrix_eigenvectors: list)
return_statement: return recompiled_matrix
docstring: Combines the subjective matrices and the objective (quantitative) matrices together.
  
          Args:
              alternative_matrix_quantitative (list):     Eigenvectors for the objective categories for the AHP
              alternative_matrix_eigenvectors (list):     Eigenvectors for the subjective categories for the AHP
  
          Returns:
              dict:   Combined subjective and objective eigenvectors.
docstring_summary: Combines the subjective matrices and the objective (quantitative) matrices together.
docstring_tokens: Combines the subjective matrices and the objective ( quantitative ) matrices together .
function: def _recompile_main_hierarchy_matrix(alternative_matrix_quantitative: list,
                                           alternative_matrix_eigenvectors: list) -> dict:
          """ Combines the subjective matrices and the objective (quantitative) matrices together.
  
          Args:
              alternative_matrix_quantitative (list):     Eigenvectors for the objective categories for the AHP
              alternative_matrix_eigenvectors (list):     Eigenvectors for the subjective categories for the AHP
  
          Returns:
              dict:   Combined subjective and objective eigenvectors.
  
          """
          log.log(logging.INFO, "Combine the subjective matrices")
          for i in alternative_matrix_quantitative:
              alternative_matrix_eigenvectors.append(i)
          recompiled_matrix = {}
          for x in alternative_matrix_eigenvectors:
              recompiled_matrix.update(x)
          return recompiled_matrix
function_tokens: def _recompile_main_hierarchy_matrix ( alternative_matrix_quantitative : list , alternative_matrix_eigenvectors : list ) -> dict : log . log ( logging . INFO , "Combine the subjective matrices" ) for i in alternative_matrix_quantitative : alternative_matrix_eigenvectors . append ( i ) recompiled_matrix = { } for x in alternative_matrix_eigenvectors : recompiled_matrix . update ( x ) return recompiled_matrix