code: def _random_non_square_shape(self):
      m = random.randint(*self.m_bounds)
      for _ in range(self._n_shape_trials):
          n = random.randint(*self.n_bounds)
          if n != m:
              break
  
      return (m, n)
  
imports: import random
  import pytest
  import geomstats.backend
  from geomstats.geometry.general_linear import SquareMatrices
  from geomstats.geometry.lower_triangular_matrices import LowerTriangularMatrices
  from geomstats.geometry.matrices import Matrices, MatricesMetric
  from geomstats.geometry.skew_symmetric_matrices import SkewSymmetricMatrices
  from geomstats.geometry.spd_matrices import SPDMatrices
  from geomstats.geometry.symmetric_matrices import SymmetricMatrices
  from geomstats.test.parametrizers import DataBasedParametrizer
  from geomstats.test_cases.geometry.matrices import MatricesMetricTestCase, MatricesTestCase, MatrixOperationsTestCase
  from .data.matrices import MatricesMetric22TestData, MatricesMetricTestData, MatricesTestData, MatrixOperationsSmokeTestData, MatrixOperationsTestData
label_desc: Use image node_id 4 for calling the MatrixOperationsDataGenerator obj's underlying member method code with example usage: obj._random_non_square_shape() and returns: m,  n