code: def _astype(arr: ArrayLike, dtype: DTypeLike) -> Array:
      """Copy the array and cast to a specified dtype.
  
      This is implemented via :func:`jax.lax.convert_element_type`, which may
      have slightly different behavior than :meth:`numpy.ndarray.astype` in
      some cases. In particular, the details of float-to-int and int-to-float
      casts are implementation dependent.
      """
      return lax_numpy.astype(arr, dtype)
  
imports: from __future__ import annotations
  import abc
  from functools import partial, wraps
  import math
  from typing import Any
  import numpy
  import jax
  from jax import lax
  from jax._src import core
  from jax._src import dtypes
  from jax._src.api_util import _ensure_index_tuple
  from jax._src.array import ArrayImpl
  from jax._src.lax import lax
  from jax._src.numpy import lax_numpy
  from jax._src.numpy import reductions
  from jax._src.numpy import ufuncs
  from jax._src.numpy import util
  from jax._src.ops import scatter
  from jax._src.typing import Array, ArrayLike, DimSize, DTypeLike, Shape
  from jax._src.util import safe_zip, safe_map
label_desc: Use image node_id 1 for calling a global function with example usage: _astype(arr, dtype) and returns: lax_numpy