code: def __init__(
      self,
      num_scalar_prefetch: int,
      grid: Grid | None = None,
      in_specs: BlockSpec
      | Sequence[BlockSpec | NoBlockSpec]
      | NoBlockSpec = no_block_spec,
      out_specs: BlockSpec
      | Sequence[BlockSpec | NoBlockSpec]
      | NoBlockSpec = no_block_spec,
      scratch_shapes: Any | Sequence[Any] = (),
  ):
      super().__init__(grid, in_specs, out_specs)
      self.num_scalar_prefetch = num_scalar_prefetch
      self.scratch_shapes = tuple(scratch_shapes)
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  import dataclasses
  import enum
  import functools
  from typing import Any
  from jax._src import core
  from jax._src import dtypes
  from jax._src import state
  from jax._src import tree_util
  from jax._src import util
  import jax.numpy
  from jax._src.pallas import core
label_desc: Use image node_id 1 to create a new PrefetchScalarGridSpec object from inherited base classes: pallas_core with example: obj = PrefetchScalarGridSpec(num_scalar_prefetch, grid, in_specs, out_specs, scratch_shapes)