code: def get_window(
      window: _WindowSpec,
      Nx: int,
      *,
      fftbins: Optional[bool] = True,
  ) -> np.ndarray:
      """Compute a window function.
  
      This is a wrapper for `scipy.signal.get_window` that additionally
      supports callable or pre-computed windows.
  
      Parameters
      ----------
      window : string, tuple, number, callable, or list-like
          The window specification:
  
          - If string, it's the name of the window function (e.g., `'hann'`)
          - If tuple, it's the name of the window function and any parameters
            (e.g., `('kaiser', 4.0)`)
          - If numeric, it is treated as the beta parameter of the `'kaiser'`
            window, as in `scipy.signal.get_window`.
          - If callable, it's a function that accepts one integer argument
            (the window length)
          - If list-like, it's a pre-computed window of the correct length `Nx`
  
      Nx : int > 0
          The length of the window
  
      fftbins : bool, optional
          If True (default), create a periodic window for use with FFT
          If False, create a symmetric window for filter design applications.
  
      Returns
      -------
      get_window : np.ndarray
          A window of length `Nx` and type `window`
  
      See Also
      --------
      scipy.signal.get_window
  
      Notes
      -----
      This function caches at level 10.
  
      Raises
      ------
      ParameterError
          If `window` is supplied as a vector of length != `n_fft`,
          or is otherwise mis-specified.
      """
      if callable(window):
          return window(Nx)
  
      elif isinstance(window, (str, tuple)) or np.isscalar(window):
          # TODO: if we add custom window functions in librosa, call them here
  
          win: np.ndarray = scipy.signal.get_window(
              window, Nx, fftbins=fftbins
          )
          return win
  
      elif isinstance(window, (np.ndarray, list)):
          if len(window) == Nx:
              return np.asarray(window)
  
          raise ParameterError(
              f"Window size mismatch: {len(window):d} != {Nx:d}"
          )
      else:
          raise ParameterError(
              f"Invalid window specification: {window!r}"
          )
  
imports: import warnings
  import numpy
  import scipy
  import scipy.signal
  import scipy.ndimage
  from numba import jit
  from ._cache import cache
  from .None import util
  from .util.exceptions import ParameterError
  from .util.decorators import deprecated
  from .core.convert import note_to_hz, hz_to_midi, midi_to_hz, hz_to_octs
  from .core.convert import fft_frequencies, mel_frequencies
  from numpy.typing import ArrayLike, DTypeLike
  from typing import Any, List, Optional, Tuple, Union
  from typing_extensions import Literal
  from ._typing import _WindowSpec, _FloatLike_co
label_desc: Use image node_id 11 for calling a global function with example usage: get_window(window, Nx) and returns: window, win, np