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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 _load_info_lbl(self):
 """ Load info on the image Note: If the image is from LOLA, the .LBL is parsed and the information is returned. If the image is from WAC, the .IMG file is parsed using the library `pvl`_ which provide nice method to extract the information in the header of the image. .. _pvl: http://pvl.readthedocs.org/en/latest/ """

        if self.grid == 'WAC':
            label = load_label(self.img)
            for key, val in label.iteritems():
                if type(val) == pvl._collections.PVLObject:
                    for key, value in val.iteritems():
                        try:
                            setattr(self, key, value.value)
                        except:
                            setattr(self, key, value)
                else:
                    setattr(self, key, val)
            self.start_byte = self.RECORD_BYTES
            self.bytesize = 4
            self.projection = str(label['IMAGE_MAP_PROJECTION'][
                'MAP_PROJECTION_TYPE'])
            self.dtype = np.float32
        else:
            with open(self.lbl, 'r') as f:
                for line in f:
                    attr = [f.strip() for f in line.split('=')]
                    if len(attr) == 2:
                        setattr(self, attr[0], attr[1].split(' ')[0])
            self.start_byte = 0
            self.bytesize = 2
            self.projection = ''
            self.dtype = np.int16