code: def ones(
      shape: dynamic_ragged_shape.DynamicRaggedShape,
      dtype=dtypes.float32,
      name=None,
      layout=None,
  ) -> ragged_tensor.RaggedOrDense:
      """Returns ones shaped like x."""
      if layout is not None and not layout.is_fully_replicated():
          raise ValueError(
              f"RaggedTensor only allows replicated layout. got {layout}"
          )
      flat_values = array_ops.ones(
          shape.inner_shape, dtype=dtype, name=name, layout=layout
      )
      return shape._add_row_partitions(flat_values)
  
imports: from typing import Optional
  from typing import Union
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import gen_ragged_array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sort_ops
  from tensorflow.python.ops.ragged import dynamic_ragged_shape
  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
  from tensorflow.python.ops.ragged import ragged_util
  from tensorflow.python.ops.ragged import segment_id_ops
  from tensorflow.python.types import core
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 24 for calling a global function with example usage: ones(shape, dtype, name, layout) and returns: shape