code: def kaiser_atten(numtaps, width):
      """Compute the attenuation of a Kaiser FIR filter.
  
      Given the number of taps `N` and the transition width `width`, compute the
      attenuation `a` in dB, given by Kaiser's formula:
  
          a = 2.285 * (N - 1) * pi * width + 7.95
  
      Parameters
      ----------
      numtaps : int
          The number of taps in the FIR filter.
      width : float
          The desired width of the transition region between passband and
          stopband (or, in general, at any discontinuity) for the filter,
          expressed as a fraction of the Nyquist frequency.
  
      Returns
      -------
      a : float
          The attenuation of the ripple, in dB.
  
      See Also
      --------
      scipy.signal.kaiser_atten
      """
      a = 2.285 * (numtaps - 1) * cupy.pi * width + 7.95
      return a
  
file_path: cupy/cupyx/scipy/signal/_fir_filter_design.py
imports: import math
  from cupy.fft import fft, ifft
  from cupy.linalg import solve, lstsq, LinAlgError
  from cupyx.scipy.linalg import toeplitz, hankel
  import cupyx
  from cupyx.scipy.signal.windows import get_window
  import cupy
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: kaiser_atten(numtaps, width) and returns: a