code: def operator_and_matrix(
      self,
      build_info,
      dtype,
      use_placeholder,
      ensure_self_adjoint_and_pd=False,
  ):
      del use_placeholder
      del ensure_self_adjoint_and_pd
      shape = list(build_info.shape)
  
      batch_shape = shape[:-2]
      num_rows = shape[-2]
      num_columns = shape[-1]
  
      operator = linalg_lib.LinearOperatorZeros(
          num_rows,
          num_columns,
          is_square=False,
          is_self_adjoint=False,
          batch_shape=batch_shape,
          dtype=dtype,
      )
      matrix = array_ops.zeros(shape=shape, dtype=dtype)
  
      return operator, matrix
  
imports: import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the LinearOperatorZerosNotSquareTest obj's underlying member method code with example usage: obj.operator_and_matrix(build_info, dtype, use_placeholder, ensure__adjoint_and_pd) and returns: operator,  matrix