code: def abs2(
      x: _NumberOrArray, dtype: Optional[DTypeLike] = None
  ) -> _NumberOrArray:
      """Compute the squared magnitude of a real or complex array.
  
      This function is equivalent to calling `np.abs(x)**2` but it
      is slightly more efficient.
  
      Parameters
      ----------
      x : np.ndarray or scalar, real or complex typed
          The input data, either real (float32, float64) or complex (complex64, complex128) typed
      dtype : np.dtype, optional
          The data type of the output array.
          If not provided, it will be inferred from `x`
  
      Returns
      -------
      p : np.ndarray or scale, real
          squared magnitude of `x`
  
      Examples
      --------
      >>> librosa.util.abs2(3 + 4j)
      25.0
  
      >>> librosa.util.abs2((0.5j)**np.arange(8))
      array([1.000e+00, 2.500e-01, 6.250e-02, 1.562e-02, 3.906e-03, 9.766e-04,
         2.441e-04, 6.104e-05])
      """
      if np.iscomplexobj(x):
          # suppress type check, mypy doesn't like vectorization
          y = _cabs2(x)
          if dtype is None:
              return y  # type: ignore
          else:
              return y.astype(dtype)  # type: ignore
      else:
          # suppress type check, mypy doesn't know this is real
          return np.power(x, 2, dtype=dtype)
  
imports: from __future__ import annotations
  import scipy.ndimage
  import scipy.sparse
  import numpy
  import numba
  from numpy.lib.stride_tricks import as_strided
  from .._cache import cache
  from .exceptions import ParameterError
  from .deprecation import Deprecated
  from numpy.typing import ArrayLike, DTypeLike
  from typing import Any, Callable, Iterable, List, Dict, Optional, Sequence, Tuple, TypeVar, Union, overload
  from typing_extensions import Literal
  from .._typing import _SequenceLike, _FloatLike_co, _ComplexLike_co
label_desc: Use image node_id 42 for calling a global function with example usage: abs2(x, dtype) and returns: np, y, y