def test_FMin():
keys = "fval edm tolerance nfcn ncalls up is_valid has_valid_parameters has_accurate_covar has_posdef_covar has_made_posdef_covar hesse_failed has_covariance is_above_max_edm has_reached_call_limit".split(
)
values = (
0.2,
1e-3,
0.1,
10,
10,
1.2,
False,
False,
False,
False,
False,
False,
False,
False,
False,
)
f = FMin(*values)
assert f.keys() == tuple(keys)
assert f.values() == values
assert f.fval == 0.2
assert f["fval"] == 0.2
def fmin_bad():
fm = Namespace(
fval=nan,
edm=1.23456e-10,
up=0.5,
is_valid=False,
has_valid_parameters=False,
has_accurate_covar=False,
has_posdef_covar=False,
has_made_posdef_covar=True,
hesse_failed=True,
has_covariance=False,
is_above_max_edm=True,
has_reached_call_limit=True,
has_parameters_at_limit=True,
errordef=1,
state=[
Namespace(
has_limits=True,
is_fixed=False,
value=0,
error=0.5,
lower_limit=0,
upper_limit=1,
has_lower_limit=True,
has_upper_limit=True,
)
],
)
return FMin(fm, 100000, 200000, 1, 1e-5)
def test_MigradResult():
fmin = FMin(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
params = Params([], None)
mr = MigradResult(fmin, params)
assert mr.fmin is fmin
assert mr[0] is fmin
assert mr.params is params
assert mr[1] is params
a, b = mr
assert a is fmin
assert b is params
def fmin_good():
fm = Namespace(
fval=1.23456e-10,
edm=1.23456e-10,
up=0.5,
is_valid=True,
has_valid_parameters=True,
has_accurate_covar=True,
has_posdef_covar=True,
has_made_posdef_covar=False,
hesse_failed=False,
has_covariance=True,
is_above_max_edm=False,
has_reached_call_limit=False,
has_parameters_at_limit=False,
state=[],
)
return FMin(fm, 10, 3, 1e-4)
def fmin_good():
return FMin(
fval=1.23456e-10,
edm=1.23456e-10,
tolerance=0.1,
nfcn=10,
ncalls=20,
up=0.5,
is_valid=True,
has_valid_parameters=True,
has_accurate_covar=True,
has_posdef_covar=True,
has_made_posdef_covar=False,
hesse_failed=False,
has_covariance=True,
is_above_max_edm=False,
has_reached_call_limit=False,
has_parameters_at_limit=False,
)