Source code for crikit.io.macros
"""
Created on Thu May 26 13:16:12 2016
@author: chc
"""
import crikit.io.lazy5 as lazy5
from crikit.io.meta_configs import (special_nist_bcars2 as _snb,
special_nist_bcars1_sample_scan as _snb1ss)
from crikit.io.meta_process import meta_process as _meta_process
from crikit.io.hdf5 import (hdf_import_data as _hdf_import_data, hdf_import_data_macroraster as _hdf_import_data_macroraster)
from crikit.io.csv_nist import csv_nist_import_data as _csv_nist_import_data
__all__ = ['import_hdf_nist_special', 'import_csv_nist_special1']
def hdf_nist_special_macroraster(pth, filename, dset_list, output_cls_instance):
print('\n')
import_success = _hdf_import_data_macroraster(pth, filename, dset_list, output_cls_instance)
if import_success is False:
raise ValueError('hdf_import_data_macroraster failed')
return False
_meta_process(_snb(), output_cls_instance)
return True
[docs]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_ooc(pth, filename, dset, output_cls_instance):
"""
Import data from HDF File (OUT-OF-CORE) as specified by NIST-specific settings
Returns
-------
Success : bool
Whether import was successful
"""
print('\n')
try:
fid = lazy5.utils.FidOrFile(lazy5.utils.fullpath(filename, pth=pth)).fid
output_cls_instance._data = fid[dset]
output_cls_instance.meta = lazy5.inspect.get_attrs_dset(fid, dset)
_meta_process(_snb(), output_cls_instance)
except Exception:
raise ValueError('hdf_import_data failed')
return False
else:
return fid
[docs]def import_csv_nist_special1(pth, filename_header, filename_data,
output_cls_instance):
"""
Import data from CSV File as specified by NIST-specific settings
Returns
-------
Success : bool
Whether import was successful
"""
try:
import_success = _csv_nist_import_data(pth, filename_header,
filename_data, output_cls_instance)
if import_success is None or import_success is False:
raise ValueError('csv_import_data returned None')
_meta_process(_snb1ss(), output_cls_instance)
except Exception:
print('Something failed in import_csv_nist_special')
return False
else:
return True
if __name__ == '__main__': # pragma: no cover
from crikit.data.spectra import Hsi as _Hsi
pth = '../'
filename = 'mP2_w_small.h5'
img = _Hsi()
import_hdf_nist_special(pth, filename, '/BCARSImage/mP2_3_5ms_Pos_2_0/mP2_3_5ms_Pos_2_0_small', img)
print('Shape of img: {}'.format(img.shape))
print('Shape of img.mean(): {}'.format(img.mean().shape))
print(img.y_rep.data)
# from crikit.data.spectra import Spectrum as _Spectrum
# sp = _Spectrum()
# pth = '../../../Young_150617/'
# filename_header = 'SH-03.h'
# filename_data = 'base061715_152213_60ms.txt'
# import_csv_nist_special1(pth, filename_header, filename_data,
# output_cls_instance=sp)