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Commit 00bd8a55 authored by Le Roux Erwan's avatar Le Roux Erwan
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[HYPERCUBE] refactor main scripts. add two main. add utils_hypercube.

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experiment/meteo_france_data/scm_models_data/visualization/hypercube_visualization/main_fast_hypercube.py 0 → 100644
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import time
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.altitude_hypercube_visualizer import \
AltitudeHypercubeVisualizer
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.altitude_hypercube_visualizer_extended import \
AltitudeHypercubeVisualizerBisExtended, QuantityHypercubeWithoutTrendExtended, \
AltitudeHypercubeVisualizerWithoutTrendExtended
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.quantity_altitude_visualizer import \
QuantityAltitudeHypercubeVisualizer
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.utils_hypercube import \
load_altitude_visualizer, load_quantity_visualizer
from experiment.meteo_france_data.scm_models_data.visualization.study_visualization.main_study_visualizer import \
ALL_ALTITUDES, SCM_STUDIES
from experiment.trend_analysis.univariate_test.abstract_gev_change_point_test import GevLocationChangePointTest
def get_fast_parameters():
save_to_file = False
only_first_one = False
nb_data_reduced_for_speed = 4
altitudes = [ALL_ALTITUDES[3], ALL_ALTITUDES[-7]]
last_starting_year = None
trend_test_class = GevLocationChangePointTest
return altitudes, last_starting_year, nb_data_reduced_for_speed, only_first_one, save_to_file, trend_test_class
def get_fast_altitude_visualizer(altitude_hypercube_class):
altitudes, last_starting_year, nb_data_reduced_for_speed, only_first_one, save_to_file, trend_test_class = get_fast_parameters()
study_classes = SCM_STUDIES[:1]
visualizer = load_altitude_visualizer(altitude_hypercube_class, altitudes, last_starting_year,
nb_data_reduced_for_speed, only_first_one, save_to_file, study_classes,
trend_test_class)
return visualizer
def get_fast_quantity_visualizer(quantity_hypercube_class):
altitudes, last_starting_year, nb_data_reduced_for_speed, only_first_one, save_to_file, trend_test_class = get_fast_parameters()
study_classes = SCM_STUDIES[:2]
visualizer = load_quantity_visualizer(quantity_hypercube_class, altitudes, last_starting_year, nb_data_reduced_for_speed, only_first_one,
save_to_file, study_classes, trend_test_class)
return visualizer
def main_mean_log_likelihood():
get_fast_quantity_visualizer(QuantityHypercubeWithoutTrendExtended).vsualize_year_trend_by_regions_and_altitudes(
add_detailed_plot=True)
# get_fast_altitude_visualizer(AltitudeHypercubeVisualizerWithoutTrendExtended).vsualize_year_trend_by_regions_and_altitudes()
def main_percentage_trend():
visualizer = get_fast_altitude_visualizer(AltitudeHypercubeVisualizerBisExtended)
visualizer.vsualize_year_trend_by_regions_and_altitudes()
visualizer.visualize_massif_trend_test_by_altitudes()
visualizer.visualize_altitute_trend_test_by_regions()
def main_run():
main_mean_log_likelihood()
# main_percentage_trend()
if __name__ == '__main__':
start = time.time()
main_run()
duration = time.time() - start
print('Full run took {}s'.format(round(duration, 1)))
experiment/meteo_france_data/scm_models_data/visualization/hypercube_visualization/main_full_hypercube.py 0 → 100644
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import time
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.altitude_hypercube_visualizer import \
AltitudeHypercubeVisualizer
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.altitude_hypercube_visualizer_extended import \
AltitudeHypercubeVisualizerBisExtended, QuantityHypercubeWithoutTrendExtended, \
AltitudeHypercubeVisualizerWithoutTrendExtended
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.quantity_altitude_visualizer import \
QuantityAltitudeHypercubeVisualizer
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.utils_hypercube import \
load_altitude_visualizer, load_quantity_visualizer
from experiment.meteo_france_data.scm_models_data.visualization.study_visualization.main_study_visualizer import \
ALL_ALTITUDES, SCM_STUDIES
from experiment.trend_analysis.univariate_test.abstract_gev_change_point_test import GevLocationChangePointTest
def get_full_parameters():
save_to_file = True
only_first_one = False
nb_data_reduced_for_speed = False
altitudes = ALL_ALTITUDES[3:-6]
last_starting_year = 2007
trend_test_class = GevLocationChangePointTest
return altitudes, last_starting_year, nb_data_reduced_for_speed, only_first_one, save_to_file, trend_test_class
def get_full_altitude_visualizer(altitude_hypercube_class, exact_starting_year=None):
altitudes, last_starting_year, nb_data_reduced_for_speed, only_first_one, save_to_file, trend_test_class = get_full_parameters()
study_classes = SCM_STUDIES[:1]
if exact_starting_year is not None:
last_starting_year = None
visualizer = load_altitude_visualizer(altitude_hypercube_class, altitudes, last_starting_year,
nb_data_reduced_for_speed, only_first_one, save_to_file, study_classes,
trend_test_class, exact_starting_year=exact_starting_year)
return visualizer
def get_full_quantity_visualizer(quantity_hypercube_class):
altitudes, last_starting_year, nb_data_reduced_for_speed, only_first_one, save_to_file, trend_test_class = get_full_parameters()
study_classes = SCM_STUDIES[:3]
visualizer = load_quantity_visualizer(quantity_hypercube_class, altitudes, last_starting_year,
nb_data_reduced_for_speed, only_first_one,
save_to_file, study_classes, trend_test_class)
return visualizer
def main_mean_log_likelihood():
get_full_quantity_visualizer(QuantityHypercubeWithoutTrendExtended).vsualize_year_trend_by_regions_and_altitudes(
add_detailed_plot=True)
# get_full_altitude_visualizer(AltitudeHypercubeVisualizerWithoutTrendExtended).vsualize_year_trend_by_regions_and_altitudes()
def main_percentage_trend():
visualizer = get_full_altitude_visualizer(AltitudeHypercubeVisualizerBisExtended, exact_starting_year=1981)
visualizer.vsualize_year_trend_by_regions_and_altitudes()
visualizer.visualize_massif_trend_test_by_altitudes()
visualizer.visualize_altitute_trend_test_by_regions()
def main_run():
# main_mean_log_likelihood()
main_percentage_trend()
if __name__ == '__main__':
start = time.time()
main_run()
duration = time.time() - start
print('Full run took {}s'.format(round(duration, 1)))
experiment/meteo_france_data/scm_models_data/visualization/hypercube_visualization/main_hypercube_visualization.py deleted 100644 → 0
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import time
from collections import OrderedDict
from itertools import product
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.altitude_hypercube_visualizer import \
AltitudeHypercubeVisualizer
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.altitude_hypercube_visualizer_extended import \
AltitudeYearHypercubeVisualizerExtended, AltitudeHypercubeVisualizerExtended, \
AltitudeHypercubeVisualizerBisExtended, AltitudeHypercubeVisualizerWithoutTrendExtended, \
QuantityHypercubeWithoutTrend, QuantityHypercubeWithoutTrendExtended
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.altitude_year_hypercube_visualizer import \
Altitude_Hypercube_Year_Visualizer, AltitudeHypercubeVisualizerWithoutTrendType
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.quantity_altitude_visualizer import \
QuantityAltitudeHypercubeVisualizer
from experiment.meteo_france_data.scm_models_data.visualization.study_visualization.main_study_visualizer import \
ALL_ALTITUDES, SCM_STUDIES, study_iterator, study_iterator_global
from experiment.meteo_france_data.scm_models_data.visualization.study_visualization.study_visualizer import \
StudyVisualizer
from experiment.trend_analysis.univariate_test.abstract_gev_change_point_test import GevLocationChangePointTest, \
GevScaleChangePointTest, GevShapeChangePointTest
from utils import get_display_name_from_object_type
def full_trends_with_altitude_hypercube():
save_to_file = True
only_first_one = False
fast = False
altitudes = ALL_ALTITUDES[3:-6]
for study_class in SCM_STUDIES[:1]:
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest, GevShapeChangePointTest][:1]:
visualizers = [StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator(study_class=study_class, only_first_one=only_first_one,
altitudes=altitudes)]
altitude_to_visualizer = OrderedDict(zip(altitudes, visualizers))
visualizer = AltitudeHypercubeVisualizer(altitude_to_visualizer, save_to_file=save_to_file,
trend_test_class=trend_test_class, nb_data_reduced_for_speed=False)
visualizer.visualize_massif_trend_test()
visualizer.visualize_year_trend_test()
visualizer.visualize_altitude_trend_test()
def full_quantity_altitude_hypercube():
save_to_file = True
only_first_one = False
fast = False
add_detailed_plots = True
altitudes = ALL_ALTITUDES[3:-6]
study_classes = SCM_STUDIES
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest, GevShapeChangePointTest][:1]:
visualizers = [StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator_global(study_classes=study_classes, only_first_one=only_first_one,
altitudes=altitudes)]
study_classes_str = [get_display_name_from_object_type(c) for c in study_classes]
quantity_altitude_tuples = list(product(study_classes_str, altitudes))
quantity_altitude_to_visualizer = OrderedDict(zip(quantity_altitude_tuples, visualizers))
visualizer = QuantityHypercubeWithoutTrendExtended(quantity_altitude_to_visualizer,
save_to_file=save_to_file,
trend_test_class=trend_test_class,
nb_data_reduced_for_speed=False,
last_starting_year=2007,
)
visualizer.vsualize_year_trend_by_regions_and_altitudes()
def fast_altitude_hypercube():
save_to_file = False
only_first_one = False
fast = True
altitudes = [ALL_ALTITUDES[3], ALL_ALTITUDES[-7]]
for study_class in SCM_STUDIES[:1]:
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest, GevShapeChangePointTest][:1]:
visualizers = [StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator(study_class=study_class, only_first_one=only_first_one,
altitudes=altitudes)]
altitude_to_visualizer = OrderedDict(zip(altitudes, visualizers))
visualizer = AltitudeHypercubeVisualizer(altitude_to_visualizer, save_to_file=save_to_file,
trend_test_class=trend_test_class, nb_data_reduced_for_speed=fast)
# visualizer.visualize_year_trend_test()
# visualizer.visualize_massif_trend_test()
visualizer.visualize_altitude_trend_test()
def fast_altitude_year_hypercube():
save_to_file = False
only_first_one = False
nb_data_reduced_for_speed = True
altitudes = [ALL_ALTITUDES[3], ALL_ALTITUDES[-7]]
for study_class in SCM_STUDIES[:1]:
for last_starting_year in [None, 1989, 1999][:1]:
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest, GevShapeChangePointTest][:1]:
visualizers = [
StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator(study_class=study_class, only_first_one=only_first_one,
altitudes=altitudes)]
altitude_to_visualizer = OrderedDict(zip(altitudes, visualizers))
visualizer = Altitude_Hypercube_Year_Visualizer(altitude_to_visualizer, save_to_file=save_to_file,
trend_test_class=trend_test_class,
nb_data_reduced_for_speed=nb_data_reduced_for_speed,
last_starting_year=last_starting_year)
# visualizer.visualize_year_trend_test()
visualizer.visualize_altitude_trend_test()
# visualizer.visualize_massif_trend_test()
def fast_altitude_without_trend_type_hypercube_extended():
save_to_file = False
only_first_one = False
nb_data_reduced_for_speed = True
altitudes = [ALL_ALTITUDES[3], ALL_ALTITUDES[-7]]
for study_class in SCM_STUDIES[:1]:
for last_starting_year in [None, 1989, 1999][:1]:
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest, GevShapeChangePointTest][:1]:
visualizers = [
StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator(study_class=study_class, only_first_one=only_first_one,
altitudes=altitudes)]
altitude_to_visualizer = OrderedDict(zip(altitudes, visualizers))
visualizer = QuantityHypercubeWithoutTrendExtended(altitude_to_visualizer,
save_to_file=save_to_file,
trend_test_class=trend_test_class,
nb_data_reduced_for_speed=nb_data_reduced_for_speed,
last_starting_year=last_starting_year)
visualizer.vsualize_year_trend_by_regions_and_altitudes()
# visualizer = QuantityHypercubeWithoutTrend(altitude_to_visualizer,
# save_to_file=save_to_file,
# trend_test_class=trend_test_class,
# nb_data_reduced_for_speed=nb_data_reduced_for_speed,
# last_starting_year=last_starting_year)
# visualizer.visualize_year_trend_test()
def fast_altitude_year_hypercube_extended():
save_to_file = True
only_first_one = False
nb_data_reduced_for_speed = True
altitudes = [ALL_ALTITUDES[3], ALL_ALTITUDES[-7]]
for study_class in SCM_STUDIES[:1]:
for exact_starting_year in [1980, 1981]:
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest, GevShapeChangePointTest][:1]:
visualizers = [
StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator(study_class=study_class, only_first_one=only_first_one,
altitudes=altitudes)]
altitude_to_visualizer = OrderedDict(zip(altitudes, visualizers))
visualizer = AltitudeHypercubeVisualizerExtended(altitude_to_visualizer, save_to_file=save_to_file,
trend_test_class=trend_test_class,
nb_data_reduced_for_speed=nb_data_reduced_for_speed,
exact_starting_year=exact_starting_year)
# visualizer.visualize_year_trend_test()
# visualizer.visualize_altitude_trend_test()
# visualizer.visualize_massif_trend_test_by_altitudes()
visualizer.vsualize_year_trend_by_regions_and_altitudes()
visualizer.visualize_massif_trend_test_by_altitudes()
visualizer.visualize_altitute_trend_test_by_regions()
# visualizer.visualize_massif_trend_test()
def full_altitude_year_hypercube():
save_to_file = True
only_first_one = False
nb_data_reduced_for_speed = False
altitudes = ALL_ALTITUDES[3:-6]
for study_class in SCM_STUDIES[:1]:
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest,
GevShapeChangePointTest][:1]:
years = [1967, 1977, 1987, 1997, 2007, None][-2:-1][::-1]
for last_starting_year in years:
visualizers = [
StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator(study_class=study_class, only_first_one=only_first_one,
altitudes=altitudes)]
altitude_to_visualizer = OrderedDict(zip(altitudes, visualizers))
visualizer = Altitude_Hypercube_Year_Visualizer(altitude_to_visualizer,
save_to_file=save_to_file,
trend_test_class=trend_test_class,
nb_data_reduced_for_speed=nb_data_reduced_for_speed,
last_starting_year=last_starting_year)
visualizer.visualize_year_trend_test()
visualizer.visualize_massif_trend_test()
visualizer.visualize_altitude_trend_test()
def full_exact_altitude_year_hypercube():
save_to_file = True
only_first_one = False
nb_data_reduced_for_speed = False
altitudes = ALL_ALTITUDES[3:-6]
for study_class in SCM_STUDIES[:]:
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest,
GevShapeChangePointTest][:1]:
years = [1980, 1981, 1982][:]
for exact_starting_year in years:
visualizers = [
StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator(study_class=study_class, only_first_one=only_first_one,
altitudes=altitudes)]
altitude_to_visualizer = OrderedDict(zip(altitudes, visualizers))
visualizer = Altitude_Hypercube_Year_Visualizer(altitude_to_visualizer,
save_to_file=save_to_file,
trend_test_class=trend_test_class,
nb_data_reduced_for_speed=nb_data_reduced_for_speed,
exact_starting_year=exact_starting_year)
visualizer.visualize_year_trend_test()
visualizer.visualize_massif_trend_test()
visualizer.visualize_altitude_trend_test()
def full_altitude_year_hypercube_extended():
save_to_file = True
only_first_one = False
nb_data_reduced_for_speed = False
altitudes = ALL_ALTITUDES[3:-6]
for study_class in SCM_STUDIES[1:]:
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest,
GevShapeChangePointTest][:1]:
years = [1967, 1977, 1987, 1997, 2007, None][-4:]
for last_starting_year in years:
for days in [1, 3][1:]:
visualizers = [
StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator(study_class=study_class, only_first_one=only_first_one,
altitudes=altitudes, nb_consecutive_days=days)]
altitude_to_visualizer = OrderedDict(zip(altitudes, visualizers))
visualizer = AltitudeHypercubeVisualizerBisExtended(altitude_to_visualizer,
save_to_file=save_to_file,
trend_test_class=trend_test_class,
nb_data_reduced_for_speed=nb_data_reduced_for_speed,
last_starting_year=last_starting_year,
)
visualizer.vsualize_year_trend_by_regions_and_altitudes()
visualizer.visualize_altitute_trend_test_by_regions()
visualizer.visualize_massif_trend_test_by_altitudes()
# visualizer.visualize_year_trend_test()
# visualizer.visualize_massif_trend_test()
# visualizer.visualize_altitude_trend_test()
def full_altitude_year_hypercube__without_trend_extended():
save_to_file = True
only_first_one = False
nb_data_reduced_for_speed = False
altitudes = ALL_ALTITUDES[3:-6]
for study_class in SCM_STUDIES[:]:
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest,
GevShapeChangePointTest][:1]:
years = [2007, None][:]
for last_starting_year in years:
for days in [1, 3][1:]:
visualizers = [
StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator(study_class=study_class, only_first_one=only_first_one,
altitudes=altitudes, nb_consecutive_days=days)]
altitude_to_visualizer = OrderedDict(zip(altitudes, visualizers))
# visualizer = QuantityHypercubeWithoutTrendExtended(altitude_to_visualizer,
# save_to_file=save_to_file,
# trend_test_class=trend_test_class,
# nb_data_reduced_for_speed=nb_data_reduced_for_speed,
# last_starting_year=last_starting_year,
# )
# visualizer.vsualize_year_trend_by_regions_and_altitudes()
def fast_quantity_altitude_hypercube():
save_to_file = False
only_first_one = False
fast = True
altitudes = ALL_ALTITUDES[2:4]
study_classes = SCM_STUDIES[:2]
for trend_test_class in [GevLocationChangePointTest, GevScaleChangePointTest, GevShapeChangePointTest][:1]:
visualizers = [StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator_global(study_classes=study_classes, only_first_one=only_first_one,
altitudes=altitudes)]
study_classes_str = [get_display_name_from_object_type(c) for c in study_classes]
quantity_altitude_tuples = list(product(study_classes_str, altitudes))
quantity_altitude_to_visualizer = OrderedDict(zip(quantity_altitude_tuples, visualizers))
visualizer = QuantityHypercubeWithoutTrend(quantity_altitude_to_visualizer, save_to_file=save_to_file,
trend_test_class=trend_test_class, nb_data_reduced_for_speed=True)
visualizer.visualize_year_trend_test()
# visualizer.visualize_massif_trend_test()
# visualizer.visualize_altitude_trend_test()
def main_run():
# fast_altitude_hypercube()
# fast_altitude_year_hypercube()
# fast_quantity_altitude_hypercube()
# fast_altitude_year_hypercube_extended()
full_exact_altitude_year_hypercube()
# full_altitude_year_hypercube__without_trend_extended()
# fast_altitude_without_trend_type_hypercube_extended()
# full_quantity_altitude_hypercube()
# fast_altitude_year_hypercube_extended()
# full_altitude_year_hypercube_extended()
# full_altitude_year_hypercube()
# fast_quantity_altitude_hypercube()
# full_quantity_altitude_hypercube()
if __name__ == '__main__':
start = time.time()
main_run()
duration = time.time() - start
print('Full run took {}s'.format(round(duration, 1)))
experiment/meteo_france_data/scm_models_data/visualization/hypercube_visualization/utils_hypercube.py 0 → 100644
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from collections import OrderedDict
from itertools import product
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.altitude_hypercube_visualizer import \
AltitudeHypercubeVisualizer
from experiment.meteo_france_data.scm_models_data.visualization.hypercube_visualization.quantity_altitude_visualizer import \
QuantityAltitudeHypercubeVisualizer
from experiment.meteo_france_data.scm_models_data.visualization.study_visualization.main_study_visualizer import \
study_iterator_global
from experiment.meteo_france_data.scm_models_data.visualization.study_visualization.study_visualizer import \
StudyVisualizer
from utils import get_display_name_from_object_type
def load_quantity_visualizer(quantity_hypercube_class, altitudes, last_starting_year, nb_data_reduced_for_speed, only_first_one,
save_to_file, study_classes, trend_test_class):
visualizers = [StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator_global(study_classes=study_classes, only_first_one=only_first_one,
altitudes=altitudes)]
study_classes_str = [get_display_name_from_object_type(c) for c in study_classes]
quantity_altitude_tuples = list(product(study_classes_str, altitudes))
quantity_altitude_to_visualizer = OrderedDict(zip(quantity_altitude_tuples, visualizers))
visualizer = quantity_hypercube_class(quantity_altitude_to_visualizer,
save_to_file=save_to_file,
trend_test_class=trend_test_class,
nb_data_reduced_for_speed=nb_data_reduced_for_speed,
last_starting_year=last_starting_year)
assert isinstance(visualizer, QuantityAltitudeHypercubeVisualizer)
return visualizer
def load_altitude_visualizer(altitude_hypercube_class, altitudes, last_starting_year, nb_data_reduced_for_speed,
only_first_one, save_to_file, study_classes, trend_test_class
, exact_starting_year=None):
visualizers = [StudyVisualizer(study, temporal_non_stationarity=True, verbose=False, multiprocessing=True)
for study in study_iterator_global(study_classes=study_classes, only_first_one=only_first_one,
altitudes=altitudes)]
altitude_to_visualizer = OrderedDict(zip(altitudes, visualizers))
visualizer = altitude_hypercube_class(altitude_to_visualizer,
save_to_file=save_to_file,
trend_test_class=trend_test_class,
nb_data_reduced_for_speed=nb_data_reduced_for_speed,
last_starting_year=last_starting_year,
exact_starting_year=exact_starting_year,
)
assert isinstance(visualizer, AltitudeHypercubeVisualizer)
return visualizer
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