class_docstr: An `ItemSelector` that selects nothing.
docstr: Returns a prefilter mask which excludes all items.
docstr_tok: ["Returns","a","prefilter","mask","which","excludes","all","items","."]
code: def get_selectable(self, input_ids, axis):
      """Returns a prefilter mask which excludes all items."""
      flat_false_values = math_ops.cast(
          array_ops.zeros_like(input_ids.flat_values), dtypes.bool
      )
      results = input_ids.with_flat_values(flat_false_values)
      for _ in range(input_ids.ragged_rank - axis):
          results = math_ops.reduce_all(results, -1)
      return results
  
imports: from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops.ragged import ragged_array_ops
  from tensorflow.python.ops.ragged import ragged_functional_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
label_desc: Use image node_id 2 for calling the NothingSelector obj's underlying member method code with example usage: obj.get_selectable(input_ids, axis) and returns: results