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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def ProcessXMLAnnotation(xml_file):
 """Process a single XML file containing a bounding box."""

  # pylint: disable=broad-except
  try:
    tree = ET.parse(xml_file)
  except Exception:
    print('Failed to parse: ' + xml_file, file=sys.stderr)
    return None
  # pylint: enable=broad-except
  root = tree.getroot()

  num_boxes = FindNumberBoundingBoxes(root)
  boxes = []

  for index in range(num_boxes):
    box = BoundingBox()
    # Grab the 'index' annotation.
    box.xmin = GetInt('xmin', root, index)
    box.ymin = GetInt('ymin', root, index)
    box.xmax = GetInt('xmax', root, index)
    box.ymax = GetInt('ymax', root, index)

    box.width = GetInt('width', root)
    box.height = GetInt('height', root)
    box.filename = GetItem('filename', root) + '.JPEG'
    box.label = GetItem('name', root)

    xmin = float(box.xmin) / float(box.width)
    xmax = float(box.xmax) / float(box.width)
    ymin = float(box.ymin) / float(box.height)
    ymax = float(box.ymax) / float(box.height)

    # Some images contain bounding box annotations that
    # extend outside of the supplied image. See, e.g.
    # n03127925/n03127925_147.xml
    # Additionally, for some bounding boxes, the min > max
    # or the box is entirely outside of the image.
    min_x = min(xmin, xmax)
    max_x = max(xmin, xmax)
    box.xmin_scaled = min(max(min_x, 0.0), 1.0)
    box.xmax_scaled = min(max(max_x, 0.0), 1.0)

    min_y = min(ymin, ymax)
    max_y = max(ymin, ymax)
    box.ymin_scaled = min(max(min_y, 0.0), 1.0)
    box.ymax_scaled = min(max(max_y, 0.0), 1.0)

    boxes.append(box)

  return boxes