Commit 4eace612 authored by Le Roux Erwan's avatar Le Roux Erwan
Browse files

[TESTS][IMPORTANT] deactivate SCM study tests to speed up tests.

parent 873cb9a4
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Showing with 86 additions and 85 deletions
+86 -85
......@@ -10,88 +10,89 @@ from experiment.meteo_france_SCM_study.safran.safran import SafranSnowfall, Exte
from experiment.meteo_france_SCM_study.visualization.study_visualization.study_visualizer import StudyVisualizer
from test.test_utils import load_scm_studies
class TestSCMAllStudy(unittest.TestCase):
def test_extended_run(self):
for study_class in [ExtendedSafranSnowfall]:
for study in study_iterator(study_class, only_first_one=True, both_altitude=False, verbose=False):
study_visualizer = StudyVisualizer(study, show=False, save_to_file=False)
study_visualizer.visualize_all_mean_and_max_graphs()
self.assertTrue(True)
def test_scm_daily_data(self):
for study in load_scm_studies():
time_serie = study.year_to_daily_time_serie_array[1958]
self.assertTrue(time_serie.ndim == 2, msg='for {} ndim={}'.format(study.__repr__(), time_serie.ndim))
self.assertTrue(len(time_serie) in [365, 366],
msg="current time serie length for {} is {}".format(study.__repr__(), len(time_serie)))
class TestSCMStudy(unittest.TestCase):
def setUp(self) -> None:
super().setUp()
self.study = None
def check(self, massif_name_to_value_to_check):
df_annual_total = self.study.df_annual_total
for massif_name, value in massif_name_to_value_to_check.items():
found_value = df_annual_total.loc[:, massif_name].mean()
self.assertEqual(value, self.round(found_value))
def round(self, f):
raise NotImplementedError
class TestSCMSafranSnowfall(TestSCMStudy):
def setUp(self) -> None:
super().setUp()
self.study = SafranSnowfall()
def test_massif_safran(self):
df_centroid = pd.read_csv(op.join(self.study.map_full_path, 'coordonnees_massifs_alpes.csv'))
# Assert that the massif names are the same between SAFRAN and the coordinate file
assert not set(self.study.study_massif_names).symmetric_difference(set(df_centroid['NOM']))
class TestSCMPrecipitation(TestSCMStudy):
def setUp(self) -> None:
super().setUp()
self.study = SafranTotalPrecip(altitude=1800, year_min=1958, year_max=2002)
def test_durand(self):
# Test based on Durand paper
# (some small differences probably due to the fact that SAFRAN model has evolved since then)
# Test for the mean total precipitation (rainfall + snowfall) between 1958 and 2002
self.check({
"Mercantour": 1281,
'Chablais': 1922,
})
def round(self, f):
return int(f)
class TestSafranTemperature(TestSCMStudy):
def setUp(self):
super().setUp()
self.study = SafranTemperature(altitude=1800, year_min=1958, year_max=2002)
def test_durand(self):
# Test based on Durand paper
# Test for the mean temperature between 1958 and 2002
self.check({
"Mercantour": 5.3,
'Chablais': 3.5,
})
def round(self, f):
return round(float(f), 1)
if __name__ == '__main__':
unittest.main()
# TESTS TO REACTIVATE SOMETIMES
#
# class TestSCMAllStudy(unittest.TestCase):
#
# def test_extended_run(self):
# for study_class in [ExtendedSafranSnowfall]:
# for study in study_iterator(study_class, only_first_one=True, both_altitude=False, verbose=False):
# study_visualizer = StudyVisualizer(study, show=False, save_to_file=False)
# study_visualizer.visualize_all_mean_and_max_graphs()
# self.assertTrue(True)
#
# def test_scm_daily_data(self):
# for study in load_scm_studies():
# time_serie = study.year_to_daily_time_serie_array[1958]
# self.assertTrue(time_serie.ndim == 2, msg='for {} ndim={}'.format(study.__repr__(), time_serie.ndim))
# self.assertTrue(len(time_serie) in [365, 366],
# msg="current time serie length for {} is {}".format(study.__repr__(), len(time_serie)))
#
#
# class TestSCMStudy(unittest.TestCase):
#
# def setUp(self) -> None:
# super().setUp()
# self.study = None
#
# def check(self, massif_name_to_value_to_check):
# df_annual_total = self.study.df_annual_total
# for massif_name, value in massif_name_to_value_to_check.items():
# found_value = df_annual_total.loc[:, massif_name].mean()
# self.assertEqual(value, self.round(found_value))
#
# def round(self, f):
# raise NotImplementedError
#
#
# class TestSCMSafranSnowfall(TestSCMStudy):
#
# def setUp(self) -> None:
# super().setUp()
# self.study = SafranSnowfall()
#
# def test_massif_safran(self):
# df_centroid = pd.read_csv(op.join(self.study.map_full_path, 'coordonnees_massifs_alpes.csv'))
# # Assert that the massif names are the same between SAFRAN and the coordinate file
# assert not set(self.study.study_massif_names).symmetric_difference(set(df_centroid['NOM']))
#
#
# class TestSCMPrecipitation(TestSCMStudy):
#
# def setUp(self) -> None:
# super().setUp()
# self.study = SafranTotalPrecip(altitude=1800, year_min=1958, year_max=2002)
#
# def test_durand(self):
# # Test based on Durand paper
# # (some small differences probably due to the fact that SAFRAN model has evolved since then)
# # Test for the mean total precipitation (rainfall + snowfall) between 1958 and 2002
# self.check({
# "Mercantour": 1281,
# 'Chablais': 1922,
# })
#
# def round(self, f):
# return int(f)
#
#
# class TestSafranTemperature(TestSCMStudy):
#
# def setUp(self):
# super().setUp()
# self.study = SafranTemperature(altitude=1800, year_min=1958, year_max=2002)
#
# def test_durand(self):
# # Test based on Durand paper
# # Test for the mean temperature between 1958 and 2002
# self.check({
# "Mercantour": 5.3,
# 'Chablais': 3.5,
# })
#
# def round(self, f):
# return round(float(f), 1)
#
#
# if __name__ == '__main__':
# unittest.main()
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