class_docstr: Tests for slicing LinearOperators.
class_docstr_tok: ["Tests","for","slicing","LinearOperators","."]
code: def test_single_param_slice_withstep_broadcastdim(self):
      event_dim = 3
      sliced = slicing._slice_single_param(
          array_ops.zeros([1, 1, event_dim]),
          param_ndims_to_matrix_ndims=1,
          slices=make_slices[44:-52:-3, -94::],
          batch_shape=constant_op.constant([2, 7], dtype=dtypes.int32),
      )
      self.assertAllEqual(
          (1, 1, event_dim), self.evaluate(sliced).shape
      )
  
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 1 for calling the SlicingTest obj's underlying member method code with example usage: obj.test_single_param_slice_withstep_broadcastdim() without return types