code: def kaiserord(ripple, width):
      """
      Determine the filter window parameters for the Kaiser window method.
  
      The parameters returned by this function are generally used to create
      a finite impulse response filter using the window method, with either
      `firwin` or `firwin2`.
  
      Parameters
      ----------
      ripple : float
          Upper bound for the deviation (in dB) of the magnitude of the
          filter's frequency response from that of the desired filter (not
          including frequencies in any transition intervals). That is, if w
          is the frequency expressed as a fraction of the Nyquist frequency,
          A(w) is the actual frequency response of the filter and D(w) is the
          desired frequency response, the design requirement is that::
  
              abs(A(w) - D(w))) < 10**(-ripple/20)
  
          for 0 <= w <= 1 and w not in a transition interval.
      width : float
          Width of transition region, normalized so that 1 corresponds to pi
          radians / sample. That is, the frequency is expressed as a fraction
          of the Nyquist frequency.
  
      Returns
      -------
      numtaps : int
          The length of the Kaiser window.
      beta : float
          The beta parameter for the Kaiser window.
  
      See Also
      --------
      scipy.signal.kaiserord
  
  
      """
      A = abs(ripple)  # in case somebody is confused as to what's meant
      if A < 8:
          # Formula for N is not valid in this range.
          raise ValueError(
              "Requested maximum ripple attentuation %f is too "
              "small for the Kaiser formula." % A
          )
      beta = kaiser_beta(A)
  
      # Kaiser's formula (as given in Oppenheim and Schafer) is for the filter
      # order, so we have to add 1 to get the number of taps.
      numtaps = (A - 7.95) / 2.285 / (cupy.pi * width) + 1
  
      return int(numpy.ceil(numtaps)), beta
  
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 3 for calling a global function with example usage: kaiserord(ripple, width) and returns: int,  beta