code: def __init__(
      self,
      shape,
      dtype,
      index_dtype,
      nnz,
      weak_type=False,
      named_shape=None,
  ):
      super().__init__(shape, dtypes.canonicalize_dtype(dtype))
      named_shape = {} if named_shape is None else named_shape
      self.index_dtype = index_dtype
      self.nnz = nnz
      self.data_aval = core.ShapedArray(
          (nnz,),
          dtypes.canonicalize_dtype(dtype),
          weak_type,
          named_shape,
      )
      self.indices_aval = core.ShapedArray(
          (nnz, len(shape)),
          dtypes.canonicalize_dtype(index_dtype),
          named_shape=named_shape,
      )
  
imports: from absl.testing import absltest
  import math
  import unittest
  import numpy
  import jax.numpy
  from jax import jit, lax, make_jaxpr
  from jax import config
  from jax.interpreters import mlir
  from jax.interpreters import xla
  from jax._src import core
  from jax._src import dtypes
  from jax._src import test_util
  from jax._src import xla_bridge
  from jax._src.lib.mlir import ir
  from jax._src.lib import xla_client
label_desc: Use image node_id 1 to create a new AbstractSparseArray object from inherited base classes: core with example: obj = AbstractSparseArray(shape, dtype, index_dtype, nnz, weak_type, named_shape)