code: def random_basis_representation(self, n_points=1):
      dtype = (
          gs.get_default_cdtype()
          if isinstance(self, ComplexMatrixVectorSpace)
          else None
      )
  
      if n_points == 1:
          return gs.random.rand(self.space.dim, dtype=dtype)
  
      return gs.reshape(
          gs.random.rand(n_points * self.space.dim),
          (n_points, -1),
          dtype=dtype,
      )
  
imports: import geomstats.backend
  from geomstats.geometry.base import ComplexMatrixVectorSpace
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.general_linear import SquareMatrices
  from geomstats.vectorization import get_n_points
label_desc: Use image node_id 1 for calling the MatrixVectorSpaceRandomDataGenerator obj's underlying member method code with example usage: obj.random_basis_representation(n_points) and returns: gs, gs