code: def numpy_values_and_dtype(
      values: np.ndarray[Any, Any],
  ) -> tuple[np.ndarray[Any, Any], type]:
      """Return numpy values and their associated dtype, adjusting if required."""
      # Create new dtype object from dtype base name so architecture specific
      # dtypes (np.longlong np.ulonglong np.intc np.uintc np.longdouble, ...)
      # get converted to their normalized dtype (np.int*, np.uint*, np.float*).
      dtype, cast_as = _normalise_numpy_dtype(values.dtype)
      if cast_as:
          values = values.astype(cast_as)
      return values, dtype
  
file_path: polars/py-polars/polars/datatypes/constructor.py
imports: from __future__ import annotations
  import functools
  from decimal import Decimal
  from typing import TYPE_CHECKING, Any, Callable, Sequence
  from polars import datatypes
  from polars.dependencies import numpy
label_desc: Use image node_id 4 for calling a global function with example usage: numpy_values_and_dtype(values) and returns: values,  dtype