def test_ratfunc_quadratic():
xs = np.arange(-10, 11)
ys = np.array([
1.231638418079096,
1.1917808219178083,
1.1440677966101696,
1.086021505376344,
1.0140845070422535,
0.9230769230769231,
0.8055555555555556,
0.6521739130434783,
0.46153846153846156,
0.3333333333333333,
1.5,
9.0,
6.666666666666667,
4.5,
3.5625,
3.074074074074074,
2.7804878048780486,
2.586206896551724,
2.448717948717949,
2.3465346534653464,
2.267716535433071,
])
coeffs = dict()
coeffs["a"] = 5
coeffs["b"] = 7
coeffs["c"] = 6
coeffs["d"] = 3
coeffs["e"] = -5
coeffs["f"] = 4
rf = functions.RatFunc(coeffs)
assert np.array_equal(rf.physical_to_int(xs), ys)
def test_ratfunc_linear_inv():
xs = np.arange(-10, 11)
ys = np.array(
[-6.4, -5.6, -4.8, -4., -3.2, -2.4, -1.6, -0.8, 0., 0.8, 1.6, 2.4, 3.2, 4., 4.8, 5.6, 6.4, 7.2, 8., 8.8, 9.6],
dtype = "float"
)
coeffs = Value()
coeffs.a = 0
coeffs.b = 4
coeffs.c = 8
coeffs.d = 0
coeffs.e = 0
coeffs.f = 5
rf = functions.RatFunc(coeffs)
rf = functions.RatFunc(coeffs)
assert np.array_equal(rf.inv(ys), xs)
def test_ratfunc_identity():
coeffs = Value()
coeffs.a = 0
coeffs.b = 1
coeffs.c = 0
coeffs.d = 0
coeffs.e = 0
coeffs.f = 1
rf = functions.RatFunc(coeffs)
assert rf(21845) == 21845
def test_ratfunc_identity():
coeffs = dict()
coeffs["a"] = 0
coeffs["b"] = 1
coeffs["c"] = 0
coeffs["d"] = 0
coeffs["e"] = 0
coeffs["f"] = 1
rf = functions.RatFunc(coeffs)
assert rf.int_to_physical(21845) == 21845
assert rf.physical_to_int(21845) == 21845
def test_ratfunc_linear_inv_scalar():
x = -10
y = -6.4
coeffs = Value()
coeffs.a = 0
coeffs.b = 4
coeffs.c = 8
coeffs.d = 0
coeffs.e = 0
coeffs.f = 5
rf = functions.RatFunc(coeffs)
assert rf.inv(y) == x
def test_ratfunc_quadratic_inv_scalar():
x = -10
coeffs = Value()
coeffs.a = 5
coeffs.b = 7
coeffs.c = 6
coeffs.d = 3
coeffs.e = -5
coeffs.f = 4
rf = functions.RatFunc(coeffs)
with pytest.raises(NotImplementedError):
rf.inv(x)
def test_ratfunc_quadratic_inv():
xs = np.arange(-10, 11)
coeffs = Value()
coeffs.a = 5
coeffs.b = 7
coeffs.c = 6
coeffs.d = 3
coeffs.e = -5
coeffs.f = 4
rf = functions.RatFunc(coeffs)
with pytest.raises(NotImplementedError):
rf.inv(xs)
def test_ratfunc_constant_scalar():
x = -10
y = 10.0
coeffs = dict()
coeffs["a"] = 0
coeffs["b"] = 0
coeffs["c"] = 20
coeffs["d"] = 0
coeffs["e"] = 0
coeffs["f"] = 2
rf = functions.RatFunc(coeffs)
assert rf.physical_to_int(x) == y
def test_ratfunc_constant():
xs = np.arange(-10, 11)
ys = np.full((21,), 10.0)
coeffs = Value()
coeffs.a = 0
coeffs.b = 0
coeffs.c = 20
coeffs.d = 0
coeffs.e = 0
coeffs.f = 2
rf = functions.RatFunc(coeffs)
assert np.array_equal(rf(xs), ys)
def test_ratfunc_quadratic_scalar():
x = -10
y = 1.231638418079096
coeffs = Value()
coeffs.a = 5
coeffs.b = 7
coeffs.c = 6
coeffs.d = 3
coeffs.e = -5
coeffs.f = 4
rf = functions.RatFunc(coeffs)
assert rf(x) == y
def test_ratfunc_constant_scalar():
x = -10
y = 10.0
coeffs = Value()
coeffs.a = 0
coeffs.b = 0
coeffs.c = 20
coeffs.d = 0
coeffs.e = 0
coeffs.f = 2
rf = functions.RatFunc(coeffs)
assert rf(x) == y
def test_ratfunc_linear_inv_scalar():
x = -10
y = -6.4
coeffs = dict()
coeffs["a"] = 0
coeffs["b"] = 4
coeffs["c"] = 8
coeffs["d"] = 0
coeffs["e"] = 0
coeffs["f"] = 5
rf = functions.RatFunc(coeffs)
assert rf.int_to_physical(y) == x
def test_ratfunc_quadratic_inv_scalar():
x = -10
coeffs = dict()
coeffs["a"] = 5
coeffs["b"] = 7
coeffs["c"] = 6
coeffs["d"] = 3
coeffs["e"] = -5
coeffs["f"] = 4
rf = functions.RatFunc(coeffs)
with pytest.raises(NotImplementedError):
rf.int_to_physical(x)
def test_ratfunc_quadratic_scalar():
x = -10
y = 1.231638418079096
coeffs = dict()
coeffs["a"] = 5
coeffs["b"] = 7
coeffs["c"] = 6
coeffs["d"] = 3
coeffs["e"] = -5
coeffs["f"] = 4
rf = functions.RatFunc(coeffs)
assert rf.physical_to_int(x) == y
def test_ratfunc_constant():
xs = np.arange(-10, 11)
ys = np.full((21, ), 10.0)
coeffs = dict()
coeffs["a"] = 0
coeffs["b"] = 0
coeffs["c"] = 20
coeffs["d"] = 0
coeffs["e"] = 0
coeffs["f"] = 2
rf = functions.RatFunc(coeffs)
assert np.array_equal(rf.physical_to_int(xs), ys)
def test_ratfunc_constant_inv_scalar():
x = -10
y = 10.0
coeffs = Value()
coeffs.a = 0
coeffs.b = 0
coeffs.c = 20
coeffs.d = 0
coeffs.e = 0
coeffs.f = 20
rf = functions.RatFunc(coeffs)
with pytest.raises(exceptions.MathError):
rf.inv(y)
def test_ratfunc_constant_inv():
xs = np.arange(-10, 11)
ys = np.full((21,), 10.0)
coeffs = Value()
coeffs.a = 0
coeffs.b = 0
coeffs.c = 20
coeffs.d = 0
coeffs.e = 0
coeffs.f = 20
rf = functions.RatFunc(coeffs)
with pytest.raises(exceptions.MathError):
rf.inv(ys)
def test_ratfunc_constant_inv():
xs = np.arange(-10, 11)
ys = np.full((21, ), 10.0)
coeffs = dict()
coeffs["a"] = 0
coeffs["b"] = 0
coeffs["c"] = 20
coeffs["d"] = 0
coeffs["e"] = 0
coeffs["f"] = 20
rf = functions.RatFunc(coeffs)
with pytest.raises(exceptions.MathError):
rf.int_to_physical(ys)
def test_ratfunc_constant_inv_scalar():
x = -10
y = 10.0
coeffs = dict()
coeffs["a"] = 0
coeffs["b"] = 0
coeffs["c"] = 20
coeffs["d"] = 0
coeffs["e"] = 0
coeffs["f"] = 20
rf = functions.RatFunc(coeffs)
with pytest.raises(exceptions.MathError):
rf.int_to_physical(y)
def test_ratfunc_quadratic():
xs = np.arange(-10, 11)
ys = np.array([1.231638418079096, 1.1917808219178083, 1.1440677966101696, 1.086021505376344, 1.0140845070422535,
0.9230769230769231, 0.8055555555555556, 0.6521739130434783, 0.46153846153846156,0.3333333333333333,
1.5, 9.0, 6.666666666666667, 4.5, 3.5625, 3.074074074074074, 2.7804878048780486, 2.586206896551724,
2.448717948717949, 2.3465346534653464, 2.267716535433071
])
coeffs = Value()
coeffs.a = 5
coeffs.b = 7
coeffs.c = 6
coeffs.d = 3
coeffs.e = -5
coeffs.f = 4
rf = functions.RatFunc(coeffs)
assert np.array_equal(rf(xs), ys)
def test_ratfunc_linear_inv():
xs = np.arange(-10, 11)
ys = np.array(
[
-6.4,
-5.6,
-4.8,
-4.0,
-3.2,
-2.4,
-1.6,
-0.8,
0.0,
0.8,
1.6,
2.4,
3.2,
4.0,
4.8,
5.6,
6.4,
7.2,
8.0,
8.8,
9.6,
],
dtype="float",
)
coeffs = dict()
coeffs["a"] = 0
coeffs["b"] = 4
coeffs["c"] = 8
coeffs["d"] = 0
coeffs["e"] = 0
coeffs["f"] = 5
rf = functions.RatFunc(coeffs)
assert np.array_equal(rf.int_to_physical(ys), xs)
