class TestCase(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(TestCase, self).__init__(*args, **kwargs)
self.num = Number(
2.5, {
"A": 0.5,
"B": (1.0, ),
"C": (1.0, 1.5),
"D": (Number.REL, 0.1),
"E": (Number.REL, 0.1, 0.2),
"F": (1.0, Number.REL, 0.2),
"G": (Number.REL, 0.3, Number.ABS, 0.3)
})
def test_constructor(self):
num = Number(42, 5)
self.assertIsInstance(num.nominal, float)
self.assertEqual(num.nominal, 42.)
unc = num.get_uncertainty(Number.DEFAULT)
self.assertIsInstance(unc, tuple)
self.assertEqual(len(unc), 2)
self.assertEqual(unc, (5., 5.))
@if_numpy
def test_constructor_numpy(self):
num = Number(np.array([5, 27, 42]), 5)
self.assertTrue(num.is_numpy)
self.assertEqual(num.shape, (3, ))
unc = num.u()
self.assertTrue(all(u.shape == num.shape for u in unc))
with self.assertRaises(TypeError):
num.nominal = 5
num = Number(5, 2)
self.assertFalse(num.is_numpy)
self.assertIsNone(num.shape)
num.nominal = np.arange(5)
self.assertTrue(num.is_numpy)
self.assertEqual(num.shape, (5, ))
self.assertEqual(num.u(direction=UP).shape, (5, ))
num.set_uncertainty("A", np.arange(5, 10))
with self.assertRaises(ValueError):
num.set_uncertainty("B", np.arange(5, 9))
def test_copy(self):
num = self.num.copy()
self.assertFalse(num is self.num)
num = num.copy(nominal=123, uncertainties=1)
self.assertEqual(num.nominal, 123)
self.assertEqual(len(num.uncertainties), 1)
@if_numpy
def test_copy_numpy(self):
num = self.num.copy()
num.nominal = np.array([3, 4, 5])
self.assertFalse(num is self.num)
num = num.copy(uncertainties=1)
self.assertEqual(tuple(num.nominal), (3, 4, 5))
self.assertEqual(len(num.uncertainties), 1)
self.assertEqual(num.u(direction=UP).shape, (3, ))
def test_strings(self):
self.assertEqual(len(self.num.str()), 97)
self.assertEqual(len(self.num.str("%.3f")), 109)
self.assertEqual(len(self.num.repr().split(" ", 3)[-1]), 100)
num = self.num.copy()
num.uncertainties = {}
self.assertEqual(len(num.str()), 23)
self.assertTrue(num.str().endswith(" (no uncertainties)"))
self.assertEqual(len(num.repr().split(" ", 3)[-1]), 26)
def test_uncertainty_parsing(self):
uncs = {}
for name in "ABCDEFG":
unc = uncs[name] = self.num.get_uncertainty(name)
self.assertIsInstance(unc, tuple)
self.assertEqual(len(unc), 2)
self.assertEqual(uncs["A"], (0.5, 0.5))
self.assertEqual(uncs["B"], (1.0, 1.0))
self.assertEqual(uncs["C"], (1.0, 1.5))
self.assertEqual(uncs["D"], (0.25, 0.25))
self.assertEqual(uncs["E"], (0.25, 0.5))
self.assertEqual(uncs["F"], (1.0, 0.5))
self.assertEqual(uncs["G"], (0.75, 0.3))
num = self.num.copy()
num.set_uncertainty("H", (Number.REL, 0.5, Number.ABS, 0.5))
self.assertEqual(num.get_uncertainty("H"), (1.25, 0.5))
def test_uncertainty_combination(self):
nom = self.num.nominal
allUp = ptgr(0.5, 1.0, 1.0, 0.25, 0.25, 1.0, 0.75)
allDown = ptgr(0.5, 1.0, 1.5, 0.25, 0.5, 0.5, 0.3)
self.assertEqual(self.num.get(UP), nom + allUp)
self.assertEqual(self.num.get(DOWN), nom - allDown)
self.assertEqual(self.num.get(UP, ("A", "B")), nom + ptgr(1, 0.5))
self.assertEqual(self.num.get(DOWN, ("B", "C")), nom - ptgr(1, 1.5))
self.assertEqual(self.num.get(DOWN), nom - allDown)
for name in "ABCDEFG":
unc = self.num.get_uncertainty(name)
self.assertEqual(self.num.get(names=name), nom)
self.assertEqual(self.num.get(UP, name), nom + unc[0])
self.assertEqual(self.num.get(DOWN, name), nom - unc[1])
self.assertEqual(self.num.u(name, UP), unc[0])
self.assertEqual(self.num.u(name, DOWN), unc[1])
self.assertEqual(self.num.get(UP, name, factor=True),
(nom + unc[0]) / nom)
self.assertEqual(self.num.get(DOWN, name, factor=True),
(nom - unc[1]) / nom)
self.assertEqual(self.num.get(UP, name, diff=True, factor=True),
unc[0] / nom)
self.assertEqual(self.num.get(DOWN, name, diff=True, factor=True),
unc[1] / nom)
def test_uncertainty_propagation(self):
# ops with constants
num = self.num + 2
self.assertEqual(num(), 4.5)
self.assertEqual(num.u("A", UP), self.num.get_uncertainty("A", UP))
self.assertEqual(num.u("C", UP), self.num.get_uncertainty("C", UP))
self.assertEqual(num.u("C", DOWN), self.num.get_uncertainty("C", DOWN))
num = self.num - 2
self.assertEqual(num(), 0.5)
self.assertEqual(num.u("A", UP), self.num.get_uncertainty("A", UP))
self.assertEqual(num.u("C", UP), self.num.get_uncertainty("C", UP))
self.assertEqual(num.u("C", DOWN), self.num.get_uncertainty("C", DOWN))
num = self.num * 3
self.assertEqual(num(), 7.5)
self.assertEqual(num.u("A", UP),
self.num.get_uncertainty("A", UP) * 3.)
self.assertEqual(num.u("C", UP),
self.num.get_uncertainty("C", UP) * 3.)
self.assertEqual(num.u("C", DOWN),
self.num.get_uncertainty("C", DOWN) * 3.)
num = self.num / 5
self.assertEqual(num(), 0.5)
self.assertEqual(num.u("A", UP),
self.num.get_uncertainty("A", UP) / 5.)
self.assertEqual(num.u("C", UP),
self.num.get_uncertainty("C", UP) / 5.)
self.assertEqual(num.u("C", DOWN),
self.num.get_uncertainty("C", DOWN) / 5.)
num = self.num**2
self.assertAlmostEqual(num(), 6.25)
self.assertAlmostEqual(
num.u("A", UP), 2 * self.num() * self.num.get_uncertainty("A", UP))
self.assertAlmostEqual(
num.u("B", UP), 2 * self.num() * self.num.get_uncertainty("B", UP))
self.assertAlmostEqual(
num.u("C", UP), 2 * self.num() * self.num.get_uncertainty("C", UP))
self.assertAlmostEqual(
num.u("C", DOWN),
2 * self.num() * self.num.get_uncertainty("C", DOWN))
num = 2.**self.num
self.assertAlmostEqual(num(), 2**2.5)
self.assertAlmostEqual(
num.u("A", UP),
math.log(2.) * num() * self.num.get_uncertainty("A", UP))
self.assertAlmostEqual(
num.u("B", UP),
math.log(2) * num() * self.num.get_uncertainty("B", UP))
self.assertAlmostEqual(
num.u("C", UP),
math.log(2) * num() * self.num.get_uncertainty("C", UP))
self.assertAlmostEqual(
num.u("C", DOWN),
math.log(2) * num() * self.num.get_uncertainty("C", DOWN))
# ops with other numbers
num2 = Number(5, {"A": 2.5, "C": 1})
num = self.num + num2
self.assertEqual(num(), 7.5)
self.assertEqual(num.u("A", UP), ptgr(0.5, 2.5))
self.assertEqual(num.u("B", UP), 1.0)
self.assertEqual(num.u("C", UP), ptgr(1.0, 1.0))
self.assertEqual(num.u("C", DOWN), ptgr(1.0, 1.5))
num = self.num - num2
self.assertEqual(num(), -2.5)
self.assertEqual(num.u("A", UP), ptgr(0.5, 2.5))
self.assertEqual(num.u("B", UP), 1.0)
self.assertEqual(num.u("C", UP), ptgr(1.0, 1.0))
self.assertEqual(num.u("C", DOWN), ptgr(1.0, 1.5))
num = self.num * num2
self.assertEqual(num(), 12.5)
self.assertEqual(num.u("A", UP), num() * ptgr(0.5, 0.2))
self.assertEqual(num.u("B", UP), num() * 0.4)
self.assertEqual(num.u("C", UP), num() * ptgr(0.2, 0.4))
self.assertEqual(num.u("C", DOWN), num() * ptgr(0.2, 0.6))
num = self.num / num2
self.assertEqual(num(), 0.5)
self.assertEqual(num.u("A", UP), num() * ptgr(0.5, 0.2))
self.assertEqual(num.u("B", UP), num() * 0.4)
self.assertEqual(num.u("C", UP), num() * ptgr(0.2, 0.4))
self.assertEqual(num.u("C", DOWN), num() * ptgr(0.2, 0.6))
num = self.num**num2
self.assertAlmostEqual(num(), self.num()**5)
self.assertAlmostEqual(
num.u("A", UP),
ptgr(5 * self.num()**4 * self.num.get_uncertainty("A", UP),
num() * math.log(self.num()) * num2.get_uncertainty("A", UP)))
self.assertAlmostEqual(
num.u("B", UP),
5 * self.num()**4 * self.num.get_uncertainty("B", UP))
self.assertAlmostEqual(
num.u("C", DOWN),
ptgr(
5 * self.num()**4 * self.num.get_uncertainty("C", DOWN),
num() * math.log(self.num()) *
num2.get_uncertainty("C", DOWN)))
def test_ops_registration(self):
self.assertTrue("exp" in ops)
self.assertFalse("foo" in ops)
@ops.register
def foo(x, a, b, c):
return a + b * x + c * x**2
self.assertTrue("foo" in ops)
self.assertEqual(ops.get_operation("foo"), foo)
self.assertIsNone(foo.derivative)
@foo.derive
def foo(x, a, b, c):
return b + 2 * c * x
self.assertTrue(callable(foo.derivative))
def test_op_pow(self):
num = ops.pow(self.num, 2)
self.assertEqual(num(), self.num()**2.)
self.assertEqual(
num.u("A", UP),
2. * num() * self.num(UP, "A", diff=True, factor=True))
def test_op_exp(self):
num = ops.exp(self.num)
self.assertEqual(num(), math.exp(self.num()))
self.assertEqual(num.u("A", UP), self.num.u("A", UP) * num())
def test_op_log(self):
num = ops.log(self.num)
self.assertEqual(num(), math.log(self.num()))
self.assertEqual(num.u("A", UP),
self.num(UP, "A", diff=True, factor=True))
num = ops.log(self.num, 2.)
self.assertEqual(num(), math.log(self.num(), 2))
self.assertAlmostEqual(
num.u("A", UP),
self.num(UP, "A", diff=True, factor=True) / math.log(2))
def test_op_sin(self):
num = ops.sin(self.num)
self.assertEqual(num(), math.sin(self.num()))
self.assertAlmostEqual(num.u("A", UP),
self.num.u("A", UP) * abs(math.cos(self.num())))
def test_op_cos(self):
num = ops.cos(self.num)
self.assertEqual(num(), math.cos(self.num()))
self.assertAlmostEqual(num.u("A", UP),
self.num.u("A", UP) * abs(math.sin(self.num())))
def test_op_tan(self):
num = ops.tan(self.num)
self.assertEqual(num(), math.tan(self.num()))
self.assertAlmostEqual(
num.u("A", UP),
self.num.u("A", UP) / abs(math.cos(self.num()))**2)
def test_split_value(self):
self.assertEqual(split_value(1), (1., 0))
self.assertEqual(split_value(0.123), (1.23, -1))
self.assertEqual(split_value(42.5), (4.25, 1))
self.assertEqual(split_value(0), (0., 0))
@if_numpy
def test_split_value_numpy(self):
sig, mag = split_value(np.array([1., 0.123, -42.5, 0.]))
self.assertEqual(tuple(sig), (1., 1.23, -4.25, 0.))
self.assertEqual(tuple(mag), (0, -1, 1, 0))
def test_match_precision(self):
self.assertEqual(match_precision(1.234, ".1"), "1.2")
self.assertEqual(match_precision(1.234, "1."), "1")
self.assertEqual(match_precision(1.234, ".1", decimal.ROUND_UP), "1.3")
@if_numpy
def test_match_precision_numpy(self):
a = np.array([1., 0.123, -42.5, 0.])
self.assertEqual(tuple(match_precision(a, "1.")),
("1", "0", "-42", "0"))
self.assertEqual(tuple(match_precision(a, ".1")),
("1.0", "0.1", "-42.5", "0.0"))
def test_round_uncertainty(self):
self.assertEqual(round_uncertainty(0.352, "pdg"), ("35", -2))
self.assertEqual(round_uncertainty(0.352, "pub"), ("352", -3))
self.assertEqual(round_uncertainty(0.352, "one"), ("4", -1))
self.assertEqual(round_uncertainty(0.835, "pdg"), ("8", -1))
self.assertEqual(round_uncertainty(0.835, "pub"), ("84", -2))
self.assertEqual(round_uncertainty(0.835, "one"), ("8", -1))
self.assertEqual(round_uncertainty(0.962, "pdg"), ("10", -1))
self.assertEqual(round_uncertainty(0.962, "pub"), ("962", -3))
self.assertEqual(round_uncertainty(0.962, "one"), ("10", -1))
self.assertEqual(round_uncertainty(0.532, "pdg"), ("5", -1))
self.assertEqual(round_uncertainty(0.532, "pub"), ("53", -2))
self.assertEqual(round_uncertainty(0.532, "one"), ("5", -1))
self.assertEqual(round_uncertainty(0.895, "pdg"), ("9", -1))
self.assertEqual(round_uncertainty(0.895, "pub"), ("90", -2))
self.assertEqual(round_uncertainty(0.895, "one"), ("9", -1))
@if_numpy
def test_round_uncertainty_numpy(self):
digits, mag = round_uncertainty(np.array([0.123, 0.456, 0.987]))
self.assertEqual(tuple(digits), ("123", "46", "987"))
self.assertEqual(tuple(mag), (-3, -2, -3))
def test_round_value(self):
val_str, unc_strs, mag = round_value(1.23, 0.456)
self.assertEqual(val_str, "123")
self.assertEqual(tuple(unc_strs), ("46", ))
self.assertEqual(mag, -2)
num = Number(1.23, 0.456)
val_str, unc_strs, mag = round_value(num)
self.assertEqual(val_str, "123")
self.assertEqual(tuple(unc_strs), ("46", "46"))
self.assertEqual(mag, -2)
with self.assertRaises(ValueError):
round_value(1.23)
def test_round_value_list(self):
val_str, unc_strs, mag = round_value(1.23, [0.45678, 0.078, 0.998])
self.assertEqual(val_str, "1230")
self.assertEqual(tuple(unc_strs[0]), ("457", "78", "998"))
self.assertEqual(mag, -3)
@if_numpy
def test_round_value_numpy(self):
val_str, unc_strs, mag = round_value(np.array([1.23, 4.56, 10]),
np.array([0.45678, 0.078, 0.998]))
self.assertEqual(tuple(val_str), ("1230", "4560", "10000"))
self.assertEqual(tuple(unc_strs[0]), ("457", "78", "998"))
self.assertEqual(mag, -3)
def test_infer_si_prefix(self):
self.assertEqual(infer_si_prefix(0), ("", 0))
self.assertEqual(infer_si_prefix(2), ("", 0))
self.assertEqual(infer_si_prefix(20), ("", 0))
self.assertEqual(infer_si_prefix(200), ("", 0))
self.assertEqual(infer_si_prefix(2000), ("k", 3))
for n in range(-18, 19, 3):
self.assertEqual(infer_si_prefix(10**n)[1], n)
class TestCase(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(TestCase, self).__init__(*args, **kwargs)
self.num = Number(
2.5, {
"A": 0.5,
"B": (1.0, ),
"C": (1.0, 1.5),
"D": (Number.REL, 0.1),
"E": (Number.REL, 0.1, 0.2),
"F": (1.0, Number.REL, 0.2),
"G": (Number.REL, 0.3, Number.ABS, 0.3)
})
def test_constructor(self):
num = Number(42, 5)
self.assertIsInstance(num.nominal, float)
self.assertEqual(num.nominal, 42.)
unc = num.get_uncertainty(Number.DEFAULT)
self.assertIsInstance(unc, tuple)
self.assertEqual(len(unc), 2)
self.assertEqual(unc, (5., 5.))
@if_numpy
def test_constructor_numpy(self):
num = Number(np.array([5, 27, 42]), 5)
self.assertTrue(num.is_numpy)
self.assertEqual(num.shape, (3, ))
unc = num.u()
self.assertTrue(all(u.shape == num.shape for u in unc))
with self.assertRaises(TypeError):
num.nominal = 5
num = Number(5, 2)
self.assertFalse(num.is_numpy)
self.assertIsNone(num.shape)
num.nominal = np.arange(5)
self.assertTrue(num.is_numpy)
self.assertEqual(num.shape, (5, ))
self.assertEqual(num.u(direction=UP).shape, (5, ))
num.set_uncertainty("A", np.arange(5, 10))
with self.assertRaises(ValueError):
num.set_uncertainty("B", np.arange(5, 9))
@if_uncertainties
def test_constructor_ufloat(self):
num = Number(ufloat(42, 5))
self.assertEqual(num.nominal, 42.)
self.assertEqual(num.get_uncertainty(Number.DEFAULT), (5., 5.))
with self.assertRaises(ValueError):
Number(ufloat(42, 5), uncertainties={"other_error": 123})
num = Number(ufloat(42, 5, tag="foo"))
self.assertEqual(num.get_uncertainty("foo"), (5., 5.))
num = Number(ufloat(42, 5) + ufloat(2, 2))
self.assertEqual(num.nominal, 44.)
self.assertEqual(num.get_uncertainty(Number.DEFAULT), (7., 7.))
num = Number(ufloat(42, 5, tag="foo") + ufloat(2, 2, tag="bar"))
self.assertEqual(num.nominal, 44.)
self.assertEqual(num.get_uncertainty("foo"), (5., 5.))
self.assertEqual(num.get_uncertainty("bar"), (2., 2.))
num = Number(
ufloat(42, 5, tag="foo") + ufloat(2, 2, tag="bar") +
ufloat(1, 1, tag="bar"))
self.assertEqual(num.nominal, 45.)
self.assertEqual(num.get_uncertainty("foo"), (5., 5.))
self.assertEqual(num.get_uncertainty("bar"), (3., 3.))
def test_copy(self):
num = self.num.copy()
self.assertFalse(num is self.num)
num = num.copy(nominal=123, uncertainties=1)
self.assertEqual(num.nominal, 123)
self.assertEqual(len(num.uncertainties), 1)
@if_numpy
def test_copy_numpy(self):
num = self.num.copy()
num.nominal = np.array([3, 4, 5])
self.assertFalse(num is self.num)
num = num.copy(uncertainties=1)
self.assertEqual(tuple(num.nominal), (3, 4, 5))
self.assertEqual(len(num.uncertainties), 1)
self.assertEqual(num.u(direction=UP).shape, (3, ))
def test_strings(self):
self.assertEqual(len(self.num.str()), 91)
self.assertEqual(len(self.num.str("%.3f")), 112)
self.assertEqual(len(self.num.repr().split(" ", 3)[-1]), 94)
num = self.num.copy()
num.uncertainties = {}
self.assertEqual(len(num.str()), 22)
self.assertTrue(num.str().endswith(" (no uncertainties)"))
self.assertEqual(len(num.repr().split(" ", 3)[-1]), 25)
def test_uncertainty_parsing(self):
uncs = {}
for name in "ABCDEFG":
unc = uncs[name] = self.num.get_uncertainty(name)
self.assertIsInstance(unc, tuple)
self.assertEqual(len(unc), 2)
self.assertEqual(uncs["A"], (0.5, 0.5))
self.assertEqual(uncs["B"], (1.0, 1.0))
self.assertEqual(uncs["C"], (1.0, 1.5))
self.assertEqual(uncs["D"], (0.25, 0.25))
self.assertEqual(uncs["E"], (0.25, 0.5))
self.assertEqual(uncs["F"], (1.0, 0.5))
self.assertEqual(uncs["G"], (0.75, 0.3))
num = self.num.copy()
num.set_uncertainty("H", (Number.REL, 0.5, Number.ABS, 0.5))
self.assertEqual(num.get_uncertainty("H"), (1.25, 0.5))
def test_uncertainty_combination(self):
nom = self.num.nominal
allUp = ptgr(0.5, 1.0, 1.0, 0.25, 0.25, 1.0, 0.75)
allDown = ptgr(0.5, 1.0, 1.5, 0.25, 0.5, 0.5, 0.3)
self.assertEqual(self.num.get(UP), nom + allUp)
self.assertEqual(self.num.get(DOWN), nom - allDown)
self.assertEqual(self.num.get(UP, ("A", "B")), nom + ptgr(1, 0.5))
self.assertEqual(self.num.get(DOWN, ("B", "C")), nom - ptgr(1, 1.5))
self.assertEqual(self.num.get(DOWN), nom - allDown)
for name in "ABCDEFG":
unc = self.num.get_uncertainty(name)
self.assertEqual(self.num.get(names=name), nom)
self.assertEqual(self.num.get(UP, name), nom + unc[0])
self.assertEqual(self.num.get(DOWN, name), nom - unc[1])
self.assertEqual(self.num.u(name, UP), unc[0])
self.assertEqual(self.num.u(name, DOWN), unc[1])
self.assertEqual(self.num.get(UP, name, factor=True),
(nom + unc[0]) / nom)
self.assertEqual(self.num.get(DOWN, name, factor=True),
(nom - unc[1]) / nom)
self.assertEqual(self.num.get(UP, name, diff=True, factor=True),
unc[0] / nom)
self.assertEqual(self.num.get(DOWN, name, diff=True, factor=True),
unc[1] / nom)
@if_numpy
def test_uncertainty_combination_numpy(self):
num = Number(np.array([2, 4, 6]), 2)
num2 = Number(np.array([1, 2, 3]), 1)
# fully correlated division
d = num / num2
self.assertEqual(tuple(d()), (2., 2., 2.))
self.assertEqual(tuple(d.u(direction=UP)), (0., 0., 0.))
# uncorrelated division
d = num.div(num2, rho=0., inplace=False)
self.assertEqual(tuple(d()), (2., 2., 2.))
self.assertAlmostEqual(d.u(direction=UP)[0], 2. / 1. * 2.**0.5, 6)
self.assertAlmostEqual(d.u(direction=UP)[1], 2. / 2. * 2.**0.5, 6)
self.assertAlmostEqual(d.u(direction=UP)[2], 2. / 3. * 2.**0.5, 6)
def test_uncertainty_propagation(self):
# ops with constants
num = self.num + 2
self.assertEqual(num(), 4.5)
self.assertEqual(num.u("A", UP), self.num.get_uncertainty("A", UP))
self.assertEqual(num.u("C", UP), self.num.get_uncertainty("C", UP))
self.assertEqual(num.u("C", DOWN), self.num.get_uncertainty("C", DOWN))
num = self.num - 2
self.assertEqual(num(), 0.5)
self.assertEqual(num.u("A", UP), self.num.get_uncertainty("A", UP))
self.assertEqual(num.u("C", UP), self.num.get_uncertainty("C", UP))
self.assertEqual(num.u("C", DOWN), self.num.get_uncertainty("C", DOWN))
num = self.num * 3
self.assertEqual(num(), 7.5)
self.assertEqual(num.u("A", UP),
self.num.get_uncertainty("A", UP) * 3.)
self.assertEqual(num.u("C", UP),
self.num.get_uncertainty("C", UP) * 3.)
self.assertEqual(num.u("C", DOWN),
self.num.get_uncertainty("C", DOWN) * 3.)
num = self.num / 5
self.assertEqual(num(), 0.5)
self.assertEqual(num.u("A", UP),
self.num.get_uncertainty("A", UP) / 5.)
self.assertEqual(num.u("C", UP),
self.num.get_uncertainty("C", UP) / 5.)
self.assertEqual(num.u("C", DOWN),
self.num.get_uncertainty("C", DOWN) / 5.)
num = self.num**2
self.assertAlmostEqual(num(), 6.25)
self.assertAlmostEqual(
num.u("A", UP), 2 * self.num() * self.num.get_uncertainty("A", UP))
self.assertAlmostEqual(
num.u("B", UP), 2 * self.num() * self.num.get_uncertainty("B", UP))
self.assertAlmostEqual(
num.u("C", UP), 2 * self.num() * self.num.get_uncertainty("C", UP))
self.assertAlmostEqual(
num.u("C", DOWN),
2 * self.num() * self.num.get_uncertainty("C", DOWN))
num = 2.**self.num
self.assertAlmostEqual(num(), 2**2.5)
self.assertAlmostEqual(
num.u("A", UP),
math.log(2.) * num() * self.num.get_uncertainty("A", UP))
self.assertAlmostEqual(
num.u("B", UP),
math.log(2) * num() * self.num.get_uncertainty("B", UP))
self.assertAlmostEqual(
num.u("C", UP),
math.log(2) * num() * self.num.get_uncertainty("C", UP))
self.assertAlmostEqual(
num.u("C", DOWN),
math.log(2) * num() * self.num.get_uncertainty("C", DOWN))
num = self.num * 0
self.assertEqual(num(), 0)
self.assertEqual(num(UP), 0)
self.assertEqual(num(DOWN), 0)
# ops with other numbers
num2 = Number(5, {"A": 2.5, "C": 1})
num = self.num + num2
self.assertEqual(num(), 7.5)
self.assertEqual(num.u("A", UP), 3.0)
self.assertEqual(num.u("B", UP), 1.0)
self.assertEqual(num.u("C", UP), 2.0)
self.assertEqual(num.u("C", DOWN), 2.5)
num = self.num - num2
self.assertEqual(num(), -2.5)
self.assertEqual(num.u("A", UP), 2.0)
self.assertEqual(num.u("B", UP), 1.0)
self.assertEqual(num.u("C", UP), 0.)
self.assertEqual(num.u("C", DOWN), 0.5)
num = self.num * num2
self.assertEqual(num(), 12.5)
self.assertEqual(num.u("A", UP), 8.75)
self.assertEqual(num.u("B", UP), 5.0)
self.assertAlmostEqual(num.u("C", UP), 7.5)
self.assertEqual(num.u("C", DOWN), 10.)
num = self.num / num2
self.assertEqual(num(), 0.5)
self.assertAlmostEqual(num.u("A", UP), 0.15)
self.assertEqual(num.u("B", UP), 0.2)
self.assertEqual(num.u("C", UP), 0.1)
self.assertEqual(num.u("C", DOWN), 0.2)
num = self.num**num2
self.assertAlmostEqual(num(), self.num()**5)
self.assertAlmostEqual(num.u("A", UP), 321.3600420)
self.assertAlmostEqual(num.u("B", UP), 195.3125)
self.assertAlmostEqual(num.u("C", DOWN), 382.4502668)
num = self.num * Number(0, 0)
self.assertEqual(num(), 0)
self.assertEqual(num(UP), 0)
self.assertEqual(num(DOWN), 0)
def test_ops_registration(self):
self.assertTrue("exp" in ops)
self.assertFalse("foo" in ops)
@ops.register(ufunc="absolute")
def foo(x, a, b, c):
return a + b * x + c * x**2
self.assertTrue("foo" in ops)
self.assertEqual(ops.get_operation("foo"), foo)
self.assertIsNone(foo.derivative)
if HAS_NUMPY:
self.assertEqual(foo.ufuncs[0], np.abs)
self.assertEqual(foo.ufuncs[0].__name__, "absolute")
self.assertEqual(ops.get_ufunc_operation("abs"), foo)
@foo.derive
def foo(x, a, b, c):
return b + 2 * c * x
self.assertTrue(callable(foo.derivative))
@if_numpy
def test_ufuncs(self):
num = np.multiply(self.num, 2)
self.assertAlmostEqual(num(), self.num() * 2.)
self.assertAlmostEqual(num.u("A", UP), 1.)
self.assertAlmostEqual(num.u("B", UP), 2.)
self.assertAlmostEqual(num.u("C", DOWN), 3.)
num = np.exp(Number(np.array([1., 2.]), 3.))
self.assertAlmostEqual(num.nominal[0], 2.71828, 4)
self.assertAlmostEqual(num.nominal[1], 7.38906, 4)
self.assertAlmostEqual(num.get(UP)[0], 10.87313, 4)
self.assertAlmostEqual(num.get(UP)[1], 29.55623, 4)
def test_op_pow(self):
num = ops.pow(self.num, 2)
self.assertEqual(num(), self.num()**2.)
self.assertEqual(
num.u("A", UP),
2. * num() * self.num(UP, "A", diff=True, factor=True))
def test_op_exp(self):
num = ops.exp(self.num)
self.assertEqual(num(), math.exp(self.num()))
self.assertEqual(num.u("A", UP), self.num.u("A", UP) * num())
def test_op_log(self):
num = ops.log(self.num)
self.assertEqual(num(), math.log(self.num()))
self.assertEqual(num.u("A", UP),
self.num(UP, "A", diff=True, factor=True))
num = ops.log(self.num, 2.)
self.assertEqual(num(), math.log(self.num(), 2))
self.assertAlmostEqual(
num.u("A", UP),
self.num(UP, "A", diff=True, factor=True) / math.log(2))
def test_op_sin(self):
num = ops.sin(self.num)
self.assertEqual(num(), math.sin(self.num()))
self.assertAlmostEqual(num.u("A", UP),
self.num.u("A", UP) * abs(math.cos(self.num())))
def test_op_cos(self):
num = ops.cos(self.num)
self.assertEqual(num(), math.cos(self.num()))
self.assertAlmostEqual(num.u("A", UP),
self.num.u("A", UP) * abs(math.sin(self.num())))
def test_op_tan(self):
num = ops.tan(self.num)
self.assertEqual(num(), math.tan(self.num()))
self.assertAlmostEqual(
num.u("A", UP),
self.num.u("A", UP) / abs(math.cos(self.num()))**2)
def test_split_value(self):
self.assertEqual(split_value(1), (1., 0))
self.assertEqual(split_value(0.123), (1.23, -1))
self.assertEqual(split_value(42.5), (4.25, 1))
self.assertEqual(split_value(0), (0., 0))
@if_numpy
def test_split_value_numpy(self):
sig, mag = split_value(np.array([1., 0.123, -42.5, 0.]))
self.assertEqual(tuple(sig), (1., 1.23, -4.25, 0.))
self.assertEqual(tuple(mag), (0, -1, 1, 0))
def test_match_precision(self):
self.assertEqual(match_precision(1.234, ".1"), "1.2")
self.assertEqual(match_precision(1.234, "1."), "1")
self.assertEqual(match_precision(1.234, ".1", decimal.ROUND_UP), "1.3")
@if_numpy
def test_match_precision_numpy(self):
a = np.array([1., 0.123, -42.5, 0.])
self.assertEqual(tuple(match_precision(a, "1.")),
(b"1", b"0", b"-42", b"0"))
self.assertEqual(tuple(match_precision(a, ".1")),
(b"1.0", b"0.1", b"-42.5", b"0.0"))
def test_calculate_uncertainty(self):
self.assertEqual(calculate_uncertainty([(3, 0.5), (4, 0.5)]), 2.5)
self.assertEqual(calculate_uncertainty([(3, 0.5), (4, 0.5)], rho=1),
3.5)
self.assertEqual(
calculate_uncertainty([(3, 0.5), (4, 0.5)], rho={(0, 1): 1}), 3.5)
self.assertEqual(
calculate_uncertainty([(3, 0.5), (4, 0.5)], rho={(1, 2): 1}), 2.5)
def test_round_uncertainty(self):
self.assertEqual(round_uncertainty(0.352, "pdg"), ("35", -2))
self.assertEqual(round_uncertainty(0.352, "pub"), ("352", -3))
self.assertEqual(round_uncertainty(0.352, "one"), ("4", -1))
self.assertEqual(round_uncertainty(0.835, "pdg"), ("8", -1))
self.assertEqual(round_uncertainty(0.835, "pub"), ("84", -2))
self.assertEqual(round_uncertainty(0.835, "one"), ("8", -1))
self.assertEqual(round_uncertainty(0.962, "pdg"), ("10", -1))
self.assertEqual(round_uncertainty(0.962, "pub"), ("962", -3))
self.assertEqual(round_uncertainty(0.962, "one"), ("10", -1))
self.assertEqual(round_uncertainty(0.532, "pdg"), ("5", -1))
self.assertEqual(round_uncertainty(0.532, "pub"), ("53", -2))
self.assertEqual(round_uncertainty(0.532, "one"), ("5", -1))
self.assertEqual(round_uncertainty(0.895, "pdg"), ("9", -1))
self.assertEqual(round_uncertainty(0.895, "pub"), ("90", -2))
self.assertEqual(round_uncertainty(0.895, "one"), ("9", -1))
@if_numpy
def test_round_uncertainty_numpy(self):
digits, mag = round_uncertainty(np.array([0.123, 0.456, 0.987]))
self.assertEqual(tuple(digits), (b"123", b"46", b"987"))
self.assertEqual(tuple(mag), (-3, -2, -3))
def test_round_value(self):
val_str, unc_strs, mag = round_value(1.23, 0.456)
self.assertEqual(val_str, "123")
self.assertEqual(tuple(unc_strs), ("46", ))
self.assertEqual(mag, -2)
num = Number(1.23, 0.456)
val_str, unc_strs, mag = round_value(num)
self.assertEqual(val_str, "123")
self.assertEqual(tuple(unc_strs), ("46", "46"))
self.assertEqual(mag, -2)
with self.assertRaises(TypeError):
round_value(1.23)
def test_round_value_list(self):
val_str, unc_strs, mag = round_value(1.23, [0.45678, 0.078, 0.998])
self.assertEqual(val_str, "1230")
self.assertEqual(tuple(unc_strs[0]), ("457", "78", "998"))
self.assertEqual(mag, -3)
@if_numpy
def test_round_value_numpy(self):
val_str, unc_strs, mag = round_value(np.array([1.23, 4.56, 10]),
np.array([0.45678, 0.078, 0.998]))
self.assertEqual(tuple(val_str), (b"1230", b"4560", b"10000"))
self.assertEqual(tuple(unc_strs[0]), (b"457", b"78", b"998"))
self.assertEqual(mag, -3)
val_str, unc_strs, mag = round_value(np.array([1.23, 4.56, 10]), 1)
self.assertEqual(tuple(val_str), (b"123", b"456", b"1000"))
self.assertEqual(tuple(unc_strs[0]), (b"100", b"100", b"100"))
self.assertEqual(mag, -2)
with self.assertRaises(TypeError):
round_value(np.array([1.23, 4.56, 10]))
def test_infer_si_prefix(self):
self.assertEqual(infer_si_prefix(0), ("", 0))
self.assertEqual(infer_si_prefix(2), ("", 0))
self.assertEqual(infer_si_prefix(20), ("", 0))
self.assertEqual(infer_si_prefix(200), ("", 0))
self.assertEqual(infer_si_prefix(2000), ("k", 3))
for n in range(-18, 19, 3):
self.assertEqual(infer_si_prefix(10**n)[1], n)
def test_correlation(self):
c = Correlation(1.5, foo=0.5)
self.assertEqual(c.default, 1.5)
self.assertEqual(c.get("foo"), 0.5)
self.assertEqual(c.get("bar"), 1.5)
self.assertEqual(c.get("bar", 0.75), 0.75)
with self.assertRaises(Exception):
Correlation(1, 1)
def test_deferred_result(self):
c = Correlation(1.5, A=0.5)
d = self.num * c
self.assertIsInstance(d, DeferredResult)
self.assertEqual(d.number, self.num)
self.assertEqual(d.correlation, c)
self.assertIsInstance(c * self.num, DeferredResult)
with self.assertRaises(ValueError):
self.num + c
if sys.version_info.major >= 3:
eval("self.num @ c")
def test_deferred_resolution(self):
n = (self.num * Correlation(A=1)) + self.num
self.assertEqual(n.u("A"), (1.0, 1.0))
self.assertEqual(n.u("B"), (2.0, 2.0))
n = (self.num * Correlation(A=0)) + self.num
self.assertEqual(n.u("A"), (0.5**0.5, 0.5**0.5))
self.assertEqual(n.u("B"), (2.0, 2.0))