code: def framesig(
      sig,
      frame_len,
      frame_step,
      winfunc=lambda x: numpy.ones((x,)),
      stride_trick=True,
  ):
      """Frame a signal into overlapping frames.
  
      :param sig: the audio signal to frame.
      :param frame_len: length of each frame measured in samples.
      :param frame_step: number of samples after the start of the previous frame that the next frame should begin.
      :param winfunc: the analysis window to apply to each frame. By default no window is applied.
      :param stride_trick: use stride trick to compute the rolling window and window multiplication faster
      :returns: an array of frames. Size is NUMFRAMES by frame_len.
      """
      slen = len(sig)
      frame_len = int(round_half_up(frame_len))
      frame_step = int(round_half_up(frame_step))
      if slen <= frame_len:
          numframes = 1
      else:
          numframes = 1 + int(
              math.ceil((1.0 * slen - frame_len) / frame_step)
          )
  
      padlen = int((numframes - 1) * frame_step + frame_len)
  
      zeros = numpy.zeros((padlen - slen,))
      padsignal = numpy.concatenate((sig, zeros))
      if stride_trick:
          win = winfunc(frame_len)
          frames = rolling_window(
              padsignal, window=frame_len, step=frame_step
          )
      else:
          indices = (
              numpy.tile(numpy.arange(0, frame_len), (numframes, 1))
              + numpy.tile(
                  numpy.arange(0, numframes * frame_step, frame_step),
                  (frame_len, 1),
              ).T
          )
          indices = numpy.array(indices, dtype=numpy.int32)
          frames = padsignal[indices]
          win = numpy.tile(winfunc(frame_len), (numframes, 1))
  
      return frames * win
  
file_path: delta/delta/data/feat/python_speech_features/sigproc.py
imports: import decimal
  import math
  import logging
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: framesig(sig, frame_len, frame_step, winfunc, stride_trick) and returns: unknown