code: def random_diagonal_mat(self, n_points=1, shape=None):
      if shape is None:
          shape = self._random_square_shape()
  
      n = shape[0]
      identity = gs.eye(n)
      batch_shape = (n_points,) if n_points > 1 else ()
      coeffs = gs.random.uniform(size=batch_shape + (n,))
      return gs.einsum("...,ij->...ij", coeffs, identity)
  
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 9 for calling the MatrixOperationsDataGenerator obj's underlying member method code with example usage: obj.random_diagonal_mat(n_points, shape) and returns: gs