def reset_logging():
"""Reset the logging to reflect the current configuration.
This is commonly called after updating the logging configuration to let the changes take affect.
"""
logging_config.dictConfig(get_logging_configuration_dict())
import collections
import logging
import logging.config as logging_config
import os
from inspect import stack
from contextlib import contextmanager
import numpy as np
import shutil
from six import string_types
from .__version__ import VERSION, VERSION_STATUS, __version__
from mdt.configuration import get_logging_configuration_dict
try:
logging_config.dictConfig(get_logging_configuration_dict())
except ValueError:
print('Logging disabled')
from mdt.component_templates.parameters import FreeParameterTemplate, ProtocolParameterTemplate
from mdt.component_templates.cascade_models import CascadeTemplate
from mdt.component_templates.batch_profiles import BatchProfileTemplate
from mdt.component_templates.compartment_models import CompartmentTemplate, WeightCompartmentTemplate
from mdt.component_templates.composite_models import CompositeModelTemplate
from mdt.component_templates.library_functions import LibraryFunctionTemplate
from mdt.model_fitting import get_batch_fitting_function
from mdt.user_script_info import easy_save_user_script_info
from mdt.utils import estimate_noise_std, get_cl_devices, load_input_data,\
create_blank_mask, create_index_matrix, \
volume_index_to_roi_index, roi_index_to_volume_index, load_brain_mask, init_user_settings, restore_volumes, \
apply_mask, create_roi, volume_merge, protocol_merge, create_median_otsu_brain_mask, load_samples, load_sample, \
load_nifti, write_slice_roi, apply_mask_to_file, extract_volumes, \