code: def coerce_to_array(
      x: Any, dtype: DTypeLike | None = None
  ) -> np.ndarray:
      """Coerces a scalar or NumPy array to an np.array.
  
      Handles Python scalar type promotion according to JAX's rules, not NumPy's
      rules.
      """
      if dtype is None and type(x) in python_scalar_dtypes:
          dtype = _scalar_type_to_dtype(type(x), x)
      return np.asarray(x, dtype)
  
imports: from __future__ import annotations
  import abc
  import builtins
  import functools
  from typing import cast, overload, Any, Literal, Union
  import warnings
  import ml_dtypes
  import numpy
  from jax._src import config
  from jax._src.typing import DType, DTypeLike
  from jax._src.util import set_module
  from jax._src import traceback_util
label_desc: Use image node_id 11 for calling a global function with example usage: coerce_to_array(x, dtype) and returns: np