def testErfInvIntegerInput(self):
with self.assertRaises(TypeError):
x = np.array([1, 2, 3]).astype(np.int32)
special_math.erfinv(x)
with self.assertRaises(TypeError):
x = np.array([1, 2, 3]).astype(np.int64)
special_math.erfinv(x)
def testErfInvIntegerInput(self):
with self.cached_session():
with self.assertRaises(TypeError):
x = np.array([1, 2, 3]).astype(np.int32)
special_math.erfinv(x)
with self.assertRaises(TypeError):
x = np.array([1, 2, 3]).astype(np.int64)
special_math.erfinv(x)
def testErfInvValues(self):
if not special:
return
x = np.linspace(0., 1., 50).astype(np.float64)
self.assertAllClose(special.erfinv(x),
self.evaluate(special_math.erfinv(x)),
atol=0)
def testErfInvValues(self):
with self.cached_session():
if not special:
return
x = np.linspace(0., 1.0, 50).astype(np.float64)
expected_x = special.erfinv(x)
x = special_math.erfinv(x)
self.assertAllClose(expected_x, x.eval(), atol=0.)
def testErfInvValues(self):
with self.cached_session():
if not special:
return
x = np.linspace(0., 1.0, 50).astype(np.float64)
expected_x = special.erfinv(x)
x = special_math.erfinv(x)
self.assertAllClose(expected_x, x.eval(), atol=0.)
def _quantile(self, p):
return np.sqrt(2.0) * self.scale * special_math.erfinv(p)
def _quantile(self, p): return np.sqrt(2.0) * self.scale * special_math.erfinv(p)
