diff --git a/test/test_experiment/test_SCM_study.py b/test/test_experiment/test_SCM_study.py
index 10ebe4f7c35d4b734d9013b5c8ead82bbf8b515a..6b22c30965a3274220763d3f389394963866b81f 100644
--- a/test/test_experiment/test_SCM_study.py
+++ b/test/test_experiment/test_SCM_study.py
@@ -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()