def O(self):
        if not self.timezone:
            return ""

        seconds = self.Z()
        if seconds == "":
            return ""
        sign = '-' if seconds < 0 else '+'
        seconds = abs(seconds)
        return "%s%02d%02d" % (sign, seconds // 3600, (seconds // 60) % 60)
See how well a (supervised) GSN performs at classification.
dataset/ETHPy150Open django/django/django/utils/dateformat.py/TimeFormat.O--crossover with--dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/scripts/gsn_example.py/test_classify