code: def promote_dtypes_numeric(*args: ArrayLike) -> list[Array]:
      """Convenience function to apply Numpy argument dtype promotion.
  
      Promotes arguments to a numeric (non-bool) type."""
      to_dtype, weak_type = dtypes._lattice_result_type(*args)
      to_dtype = dtypes.canonicalize_dtype(to_dtype)
      to_dtype_numeric = dtypes.to_numeric_dtype(to_dtype)
      return [
          lax._convert_element_type(x, to_dtype_numeric, weak_type)
          for x in args
      ]
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  from functools import partial
  import re
  import textwrap
  from typing import Any, Callable, NamedTuple, TypeVar
  import warnings
  from jax._src import api
  from jax._src import config
  from jax._src import core
  from jax._src import dtypes
  from jax._src.lax import lax
  from jax._src.util import safe_zip, safe_map
  from jax._src.typing import Array, ArrayLike, DimSize, DType, DTypeLike, Shape
  import numpy
label_desc: Use image node_id 9 for calling a global function with example usage: promote_dtypes_numeric() and returns: unknown