def _cdf(self, x):
    (loc, scale, low, high) = self._loc_scale_low_high()
    (std_low, std_high) = self._standardized_low_and_high(low=low, high=high, loc=loc, scale=scale)
    return tf.clip_by_value((_cauchy_cdf_diff(((x - loc) / scale), std_low) / self._normalizer(std_low=std_low, std_high=std_high)), clip_value_min=0.0, clip_value_max=1.0)
def _cdf(self, x):
    (loc, scale, low, high) = self._loc_scale_low_high()
    (std_low, std_high) = self._standardized_low_and_high(low=low, high=high, loc=loc, scale=scale)
    return tf.clip_by_value((_cauchy_cdf_diff(((x - loc) / scale), std_low) / self._normalizer(std_low=std_low, std_high=std_high)), clip_value_min=0.0, clip_value_max=1.0)