def __new__(cls,
precision=None,
emin=None,
emax=None,
subnormalize=None,
rounding=None):
if precision is not None and \
not (PRECISION_MIN <= precision <= PRECISION_MAX):
raise ValueError("Precision p should satisfy %d <= p <= %d." %
(PRECISION_MIN, PRECISION_MAX))
if emin is not None and not EMIN_MIN <= emin <= EMIN_MAX:
raise ValueError("exponent bound emin should satisfy "
"%d <= emin <= %d" % (EMIN_MIN, EMIN_MAX))
if emax is not None and not EMAX_MIN <= emax <= EMAX_MAX:
raise ValueError("exponent bound emax should satisfy "
"%d <= emax <= %d" % (EMAX_MIN, EMAX_MAX))
if rounding is not None:
rounding = RoundingMode(rounding)
if subnormalize is not None and subnormalize not in [False, True]:
raise ValueError("subnormalize should be either False or True")
self = object.__new__(cls)
self._precision = precision
self._emin = emin
self._emax = emax
self._subnormalize = subnormalize
self._rounding = rounding
return self
def test_invalid_rounding_mode(self):
with self.assertRaises(ValueError):
RoundingMode(-1)
def test_rounding_mode_from_rounding_mode(self):
rm = RoundingMode(ROUND_TOWARD_POSITIVE)
self.assertEqual(rm, ROUND_TOWARD_POSITIVE)
self.assertIsInstance(rm, RoundingMode)
def test_rounding_mode_from_int(self):
rm = RoundingMode(mpfr.MPFR_RNDN)
self.assertEqual(rm, ROUND_TIES_TO_EVEN)
self.assertIsInstance(rm, RoundingMode)