def from_np_array_and_object(cls, np_array, obj):
# TODO: consider refactoring.
np_spectrum = NpSpectrumContainer.from_np_array(np_array, readonly=True)
new_instance = cls(num_spectra=np_spectrum.num_spectra)
# replace spectrum container with existing data
new_instance.np_spectrum = np_spectrum
# replace metadata with existing metadata object
assert type(new_instance.continuum_fit_metadata) == type(obj)
new_instance.continuum_fit_metadata = obj
return new_instance
def accumulate(self, result_enum, ar_qso_indices_list, object_results):
del object_results
for ar_delta_t, ar_qso_indices in zip(result_enum,
ar_qso_indices_list):
delta_t = NpSpectrumContainer.from_np_array(ar_delta_t,
readonly=True)
for j, n in zip(NpSpectrumIterator(delta_t), ar_qso_indices):
# if self.n >= self.num_spectra:
# break
self.delta_t_file.set_wavelength(n, j.get_wavelength())
self.delta_t_file.set_flux(n, j.get_flux())
self.delta_t_file.set_ivar(n, j.get_ivar())
self.n += 1
l_print_no_barrier("n =", self.n)
l_print_no_barrier("n =", self.n)
return self.return_result()