code: def native_sparse_array_to_indices_values_and_shape(x):
      if not is_native_sparse_array(x):
          raise ivy.utils.exceptions.IvyException(
              "not a Paddle Sparse Array"
          )
      if x.is_sparse_coo():
          return {"coo_indices": x.indices()}, x.values(), x.shape
      else:
          return (
              {"crow_indices": x.crows(), "col_indices": x.cols()},
              x.values(),
              x.shape,
          )
  
file_path: ivy/ivy/functional/backends/paddle/experimental/sparse_array.py
imports: import ivy
  from ivy.functional.ivy.experimental.sparse_array import _verify_coo_components, _verify_csr_components, _is_data_not_indices_values_and_shape
  from ivy.func_wrapper import with_unsupported_device_and_dtypes
  from ivy.utils.exceptions import IvyNotImplementedException
  import paddle
  from ..None import backend_version
label_desc: Use image node_id 3 for calling a global function with example usage: native_sparse_array_to_indices_values_and_shape(x) and returns: dict,  x,  x, dict,  x,  x