def import_hdf_nist_special(pth, filename, dset, output_cls_instance):
"""
Import data from HDF File as specified by NIST-specific settings
Returns
-------
Success : bool
Whether import was successful
"""
print('\n')
import_success = _hdf_import_data(pth, filename, dset, output_cls_instance)
if import_success is False:
raise ValueError('hdf_import_data failed')
return False
_meta_process(_snb(), output_cls_instance)
return True
def import_hdf_nist_special(pth, filename, dset, output_cls_instance):
"""
Import data from HDF File as specified by NIST-specific settings
Returns
-------
Success : bool
Whether import was successful
"""
print('\n')
try:
import_success = _hdf_import_data(pth, filename, dset,
output_cls_instance)
if import_success is None or import_success is False:
raise ValueError('hdf_import_data returned None')
_meta_process(_snb(), output_cls_instance)
except:
print('Something failed in import_hdf_nist_special')
return False
else:
print('\n')
return True
# print(output_cls_instance.reps.data.shape)
output_cls_instance.reps.update_calib_from_data()
except:
print('Something failed in meta_process: Spectra rep-calib')
elif type(output_cls_instance) == _Spectrum:
print('Type Spectrum')
if __name__ == '__main__':
from crikit.io.meta_configs import (special_nist_bcars2 as _snb)
from crikit.io.hdf5 import hdf_import_data as _hdf_import_data
rosetta = _snb()
filename = _os.path.abspath('../../../mP2_w_small.h5')
spect_dark = _Spectra()
_hdf_import_data(filename, '/Spectra/Dark_3_5ms_2', spect_dark)
meta_process(rosetta, spect_dark)
print(spect_dark.reps)
print('')
img = _Hsi()
_hdf_import_data(filename,
'/BCARSImage/mP2_3_5ms_Pos_2_0/mP2_3_5ms_Pos_2_0_small',
img)
meta_process(rosetta, img)
print(img.freq.__dict__)
# print(output_cls_instance.reps.data.shape)
output_cls_instance.reps.update_calib_from_data()
except:
print('Something failed in meta_process: Spectra rep-calib')
elif type(output_cls_instance) == _Spectrum:
print('Type Spectrum')
if __name__ == '__main__':
from crikit.io.meta_configs import (special_nist_bcars2
as _snb)
from crikit.io.hdf5 import hdf_import_data as _hdf_import_data
rosetta = _snb()
filename = _os.path.abspath('../../../mP2_w_small.h5')
spect_dark = _Spectra()
_hdf_import_data(filename,'/Spectra/Dark_3_5ms_2',spect_dark)
meta_process(rosetta, spect_dark)
print(spect_dark.reps)
print('')
img = _Hsi()
_hdf_import_data(filename,'/BCARSImage/mP2_3_5ms_Pos_2_0/mP2_3_5ms_Pos_2_0_small',img)
meta_process(rosetta, img)
print(img.freq.__dict__)