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from codonPython.tolerance import check_tolerance
import numpy as np
import pandas as pd
import pandas.util.testing as pdt
import pytest
## TODO migrate from numpy arrays to pandas series/dataframes
testdata = [
pd.Series([1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242]),
pd.Series([1, 2, 3, 4, 5, 5.5, 6, 6.5, 7]),
]
@pytest.mark.parametrize("t, y, to_exclude, poly_features, alpha, parse_dates, expected", [
(
*testdata,
2,
[1, 2],
0.05,
False,
pd.DataFrame({
"t" : [1241, 1242, 1241, 1242],
'yhat_u': [
8.11380197739608,
9.051653693670929,
7.127135023632205,
7.735627110021585,
],
'yobs': [6.5, 7.0, 6.5, 7.0],
'yhat': [
7.214285714285714,
8.071428571428573,
6.500000000000002,
6.821428571428574,
],
'yhat_l': [
6.31476945117535,
7.091203449186216,
5.872864976367799,
5.907230032835563,
],
'polynomial': [1, 1, 2, 2]
}),
),
(
*testdata,
2,
[3],
0.05,
False,
pd.DataFrame({
"t" : [1241, 1242],
'yhat_u': [
6.753927165005773,
7.214574732953706,
],
'yobs': [6.5, 7.0],
'yhat': [
6.0000000000000036,
5.571428571428576,
],
'yhat_l': [
5.2460728349942345,
3.928282409903445,
],
'polynomial': [3, 3]
}),
),
(
pd.Series([ # Check dates
"2012-05-16",
"2012-05-17",
"2012-05-18",
"2012-05-19",
"2012-05-20",
"2012-05-21",
"2012-05-22",
"2012-05-23",
"2012-05-24",
]),
pd.Series([1, 2, 3, 4, 5, 5.5, 6, 6.5, 7]),
2,
[3],
0.05,
True,
pd.DataFrame({
"t" : ["2012-05-23", "2012-05-24"],
'yhat_u': [
6.753927165005773,
7.214574732953706,
],
'yobs': [6.5, 7.0],
'yhat': [
6.0000000000000036,
5.571428571428576,
],
'yhat_l': [
5.2460728349942345,
3.928282409903445,
],
'polynomial': [3, 3]
}),
),
])
def test_tolerance_checking_BAU(t, y, to_exclude, poly_features, alpha, parse_dates, expected):
obtained = check_tolerance(
t,
y,
to_exclude=to_exclude,
poly_features=poly_features,
alpha=alpha,
parse_dates=parse_dates,
)
pdt.assert_frame_equal(expected, obtained)
@pytest.mark.parametrize("t, y, to_exclude, poly_features, alpha", [
(
*testdata,
2,
"flamingo", # This should be a list
0.05,
),
(
*testdata,
2,
[2],
"flamingo", # Needs to be int
),
(
*testdata,
2,
[2],
42, # Needs to be between 0 and 1
),
(
*testdata,
"flamingo", # Needs to be int
[2],
0.05,
),
])
def test_ValueErrors(t, y, to_exclude, poly_features, alpha):
with pytest.raises(ValueError):
check_tolerance(t, y, to_exclude=to_exclude,
poly_features=poly_features, alpha=alpha)
@pytest.mark.parametrize("t, y, to_exclude, poly_features, alpha", [
(
*testdata,
2,
[42], # Elements in the list should be between 0 and 4
0.05,
),
(
*testdata,
42, # Can't have to_exclude making your sample size smaller than 4
[2],
0.05,
),
(
pd.Series([1234, 1235, 1236, 1237, 1238, 1239,
1240, 1241, np.nan]), # Missing t value
pd.Series([1, 2, 3, 4, 5, 5.5, 6, 6.5, 7]),
2,
[2],
0.05,
),
(
pd.Series([1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242]),
pd.Series([1, 2, 3, 4, 5, 5.5, 6, 6.5, np.nan]), # Missing y value
2,
[2],
0.05,
)
])
def test_AssertionErrors(t, y, to_exclude, poly_features, alpha):
with pytest.raises(AssertionError):
check_tolerance(t, y, to_exclude=to_exclude,
poly_features=poly_features, alpha=alpha)