def test_error_rates_vary_N2(self):
a = ma.Idling_Error_Rate_Analyisis(
t_start="20180210_181633",
options_dict={
"close_figs": True,
"vary_N2": True
},
)
expected_dict = {
"A": 0.41685563870942149,
"N1": 1064.7100611208791,
"N2": 3644.550952436859,
"offset": 0.52121402524448934,
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res["fit +"].best_values[key],
value,
decimal=2)
expected_dict = {
"A": -0.13013585779457398,
"N1": 1138.3895116903586,
"N2": 601415.64642756886,
"offset": 0.14572799876310505,
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res["fit 0"].best_values[key],
value,
decimal=2)
expected_dict = {
"A": 0.74324542246644376,
"N1": 939.61974247762646,
"N2": 3566698.2870284803,
"offset": 0.18301612896797623,
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res["fit 1"].best_values[key],
value,
decimal=2)
def test_error_rates_fixed_N2(self):
a = ma.Idling_Error_Rate_Analyisis(
t_start="20180210_181633",
options_dict={
"close_figs": True,
"vary_N2": False
},
)
expected_dict = {
"A": 0.43481425072120633,
"N1": 1034.9644095297574,
"N2": 1e21,
"offset": 0.50671519356947314,
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res["fit +"].best_values[key],
value,
decimal=2)
expected_dict = {
"A": -0.13013614484482647,
"N1": 1138.3896694924019,
"N2": 1e21,
"offset": 0.1457282565842071,
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res["fit 0"].best_values[key],
value,
decimal=2)
expected_dict = {
"A": 0.7432454022744126,
"N1": 939.61870748568992,
"N2": 1e21,
"offset": 0.18301632862249007,
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res["fit 1"].best_values[key],
value,
decimal=2)
def test_error_rates_vary_N2(self):
a = ma.Idling_Error_Rate_Analyisis(t_start='20180210_181633',
options_dict={
'close_figs': True,
'vary_N2': True
})
expected_dict = {
'A': 0.41685563870942149,
'N1': 1064.7100611208791,
'N2': 3644.550952436859,
'offset': 0.52121402524448934
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res['fit +'].best_values[key],
value,
decimal=2)
expected_dict = {
'A': -0.13013585779457398,
'N1': 1138.3895116903586,
'N2': 601415.64642756886,
'offset': 0.14572799876310505
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res['fit 0'].best_values[key],
value,
decimal=2)
expected_dict = {
'A': 0.74324542246644376,
'N1': 939.61974247762646,
'N2': 3566698.2870284803,
'offset': 0.18301612896797623
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res['fit 1'].best_values[key],
value,
decimal=2)
def test_error_rates_fixed_N2(self):
a = ma.Idling_Error_Rate_Analyisis(t_start='20180210_181633',
options_dict={
'close_figs': True,
'vary_N2': False
})
expected_dict = {
'A': 0.43481425072120633,
'N1': 1034.9644095297574,
'N2': 1e+21,
'offset': 0.50671519356947314
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res['fit +'].best_values[key],
value,
decimal=2)
expected_dict = {
'A': -0.13013614484482647,
'N1': 1138.3896694924019,
'N2': 1e+21,
'offset': 0.1457282565842071
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res['fit 0'].best_values[key],
value,
decimal=2)
expected_dict = {
'A': 0.7432454022744126,
'N1': 939.61870748568992,
'N2': 1e+21,
'offset': 0.18301632862249007
}
for key, value in expected_dict.items():
np.testing.assert_almost_equal(a.fit_res['fit 1'].best_values[key],
value,
decimal=2)