class_docstr: Tests for slicing LinearOperators.
code: def test_slice_single_param_operator(self):
      matrix = linear_operator_test_util.random_normal(
          shape=[1, 4, 3, 2, 2], dtype=dtypes.float32
      )
      operator = linalg.LinearOperatorFullMatrix(matrix, is_square=True)
      sliced = operator[..., array_ops.newaxis, 2:, array_ops.newaxis]
  
      self.assertAllEqual(
          list(
              array_ops.zeros([1, 4, 3])[
                  ..., array_ops.newaxis, 2:, array_ops.newaxis
              ].shape
          ),
          sliced.batch_shape_tensor(),
      )
  
imports: from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_test_util
  from tensorflow.python.ops.linalg import slicing
  from tensorflow.python.platform import test
label_desc: Use image node_id 17 for calling the SlicingTest obj's underlying member method code with example usage: obj.test_slice_single_param_operator() without return types