code: def truncate_pad(x, shape):
      # truncate/pad x to have the appropriate shape
      slices = [slice(n) for n in shape]
      pads = tuple(
          zip(
              anp.zeros(len(shape), dtype=int),
              anp.maximum(0, anp.array(shape) - anp.array(x.shape)),
          )
      )
      return anp.pad(x, pads, "constant")[tuple(slices)]
  
file_path: autograd/autograd/numpy/fft.py
imports: from __future__ import absolute_import
  from builtins import zip
  import numpy.fft
  from .numpy_wrapper import wrap_namespace
  from .numpy_vjps import match_complex
  from .None import numpy_wrapper
  from autograd.extend import primitive, defvjp, vspace
label_desc: Use image node_id 4 for calling a global function with example usage: truncate_pad(x, shape) and returns: anp