def test_update_from_dict():
par = Parameter(
"test",
value=1e-10,
min="nan",
max="nan",
frozen=False,
unit="TeV",
scale_method="scale10",
)
par.autoscale()
data = {
"model": "gc",
"type": "spectral",
"name": "test2",
"value": 3e-10,
"min": 0,
"max": np.nan,
"frozen": True,
"unit": "GeV",
}
par.update_from_dict(data)
assert par.name == "test"
assert par.factor == 3
assert par.value == 3e-10
assert par.unit == "GeV"
assert par.min == 0
assert par.max is np.nan
assert par.frozen
data = {
"model": "gc",
"type": "spectral",
"name": "test2",
"value": 3e-10,
"min": 0,
"max": np.nan,
"frozen": "True",
"unit": "GeV",
}
par.update_from_dict(data)
assert par.frozen
def test_update_from_dict():
par = Parameter("test",
value=1e-10,
min="nan",
max="nan",
frozen=False,
unit="TeV")
par.autoscale()
data = {
"name": "test2",
"value": 3e-10,
"min": 0,
"max": np.nan,
"frozen": True,
"unit": "GeV"
}
par.update_from_dict(data)
assert par.name == "test"
assert par.factor == 3
assert par.value == 3e-10
assert par.unit == "GeV"
assert par.min == 0
assert par.max is np.nan
assert par.frozen == True
def test_parameter_autoscale(method, value, factor, scale):
par = Parameter("", value)
par.autoscale()
assert_allclose(par.factor, factor)
assert_allclose(par.scale, scale)
assert isinstance(par.scale, float)
