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# scipy.fftpack.next_fast_len

`scipy.fftpack.``next_fast_len`(target)

  Find the next fast size of input data to `fft`, for zero-padding, etc.

  SciPy’s FFTPACK has efficient functions for radix {2, 3, 4, 5}, so this returns the next composite of the prime factors 2, 3, and 5 which is greater than or equal to target. (These are also known as 5-smooth numbers, regular numbers, or Hamming numbers.)

  Parameters: | target : int Length to start searching from. Must be a positive integer.
  Returns: | out : int The first 5-smooth number greater than or equal to target.

  Notes

  New in version 0.18.0.

  Examples

  On a particular machine, an FFT of prime length takes 133 ms:

      >>> from scipy import fftpack
      >>> min_len = 10007  # prime length is worst case for speed
      >>> a = np.random.randn(min_len)
      >>> b = fftpack.fft(a)

  Zero-padding to the next 5-smooth length reduces computation time to 211 us, a speedup of 630 times:

      >>> fftpack.helper.next_fast_len(min_len)
      10125
      >>> b = fftpack.fft(a, 10125)

  Rounding up to the next power of 2 is not optimal, taking 367 us to compute, 1.7 times as long as the 5-smooth size:

      >>> b = fftpack.fft(a, 16384)