code: def crop(
      clip,
      x1=None,
      y1=None,
      x2=None,
      y2=None,
      width=None,
      height=None,
      x_center=None,
      y_center=None,
  ):
      """
      Returns a new clip in which just a rectangular subregion of the
      original clip is conserved. x1,y1 indicates the top left corner and
      x2,y2 is the lower right corner of the croped region.
      All coordinates are in pixels. Float numbers are accepted.
  
      To crop an arbitrary rectangle:
  
      >>> crop(clip, x1=50, y1=60, x2=460, y2=275)
  
      Only remove the part above y=30:
  
      >>> crop(clip, y1=30)
  
      Crop a rectangle that starts 10 pixels left and is 200px wide
  
      >>> crop(clip, x1=10, width=200)
  
      Crop a rectangle centered in x,y=(300,400), width=50, height=150 :
  
      >>> crop(clip,  x_center=300 , y_center=400,
                          width=50, height=150)
  
      Any combination of the above should work, like for this rectangle
      centered in x=300, with explicit y-boundaries:
  
      >>> crop(clip, x_center=300, width=400, y1=100, y2=600)
  
      """
      if width and x1 is not None:
          x2 = x1 + width
      elif width and x2 is not None:
          x1 = x2 - width
  
      if height and y1 is not None:
          y2 = y1 + height
      elif height and y2 is not None:
          y1 = y2 - height
  
      if x_center:
          x1, x2 = x_center - width / 2, x_center + width / 2
  
      if y_center:
          y1, y2 = y_center - height / 2, y_center + height / 2
  
      x1 = x1 or 0
      y1 = y1 or 0
      x2 = x2 or clip.size[0]
      y2 = y2 or clip.size[1]
  
      return clip.image_transform(
          lambda frame: frame[int(y1) : int(y2), int(x1) : int(x2)],
          apply_to=["mask"],
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: crop(clip, x1, y1, x2, y2, width, height, x_center, y_center) and returns: clip