def write_output(
miller_indices_merge,
I_merge,
sigI_merge,
stat_all,
I_two_halves_tuple,
iparams,
uc_mean,
wavelength_mean,
output_mtz_file_prefix,
avg_mode,
):
# results is a list of postref_results objects
# length of this list equals to number of input frames
inten_scaler = intensities_scaler()
miller_array_merge, txt_out = inten_scaler.write_output(
miller_indices_merge,
I_merge,
sigI_merge,
stat_all,
I_two_halves_tuple,
iparams,
uc_mean,
wavelength_mean,
output_mtz_file_prefix,
avg_mode,
)
return miller_array_merge, txt_out
def prepare_output(results,
iparams,
avg_mode):
#results is a list of postref_results objects
#length of this list equals to number of input frames
inten_scaler = intensities_scaler()
prep_output = inten_scaler.prepare_output(results, iparams, avg_mode)
return prep_output
def calc_avg_I(group_no, miller_index, miller_indices_ori, I, sigI, G, B, p_set, rs_set, wavelength_set,
sin_theta_over_lambda_sq, SE, avg_mode, iparams, pickle_filename):
#results is a list of postref_results objects
#length of this list equals to number of input frames
inten_scaler = intensities_scaler()
avg_I_result = inten_scaler.calc_avg_I(group_no, miller_index, miller_indices_ori, I, sigI, G, B,
p_set, rs_set, wavelength_set, sin_theta_over_lambda_sq, SE, avg_mode,
iparams, pickle_filename)
return avg_I_result
def calc_avg_I_cpp(group_no, group_id_list, miller_index, miller_indices_ori, I, sigI, G, B, \
p_set, rs_set, wavelength_set, sin_theta_over_lambda_sq, SE, avg_mode, iparams, pickle_filename):
#results is a list of postref_results objects
#length of this list equals to number of input frames
inten_scaler = intensities_scaler()
avg_I_result = inten_scaler.calc_avg_I_cpp(group_no, group_id_list, miller_index, \
miller_indices_ori, I, sigI, G, B,
p_set, rs_set, wavelength_set, sin_theta_over_lambda_sq, SE, avg_mode,
iparams, pickle_filename)
return avg_I_result
def merge_observations(results,
iph,
output_mtz_file_prefix,
avg_mode):
#results is a list of postref_results objects
#lenght of this list equals to number of input frames
inten_scaler = intensities_scaler()
miller_array_merge, txt_out, csv_out = inten_scaler.output_mtz_files(results, iph, output_mtz_file_prefix, avg_mode)
return miller_array_merge, txt_out, csv_out
def write_output(miller_indices_merge, I_merge, sigI_merge, stat_all,
I_two_halves_tuple, iparams, uc_mean, wavelength_mean,
output_mtz_file_prefix, avg_mode):
#results is a list of postref_results objects
#length of this list equals to number of input frames
inten_scaler = intensities_scaler()
miller_array_merge, txt_out = inten_scaler.write_output(miller_indices_merge, \
I_merge, sigI_merge, stat_all, \
I_two_halves_tuple, iparams, uc_mean, \
wavelength_mean, output_mtz_file_prefix, avg_mode)
return miller_array_merge, txt_out
def prepare_output(results, iparams, avg_mode):
#results is a list of postref_results objects
#length of this list equals to number of input frames
inten_scaler = intensities_scaler()
prep_output = inten_scaler.prepare_output(results, iparams, avg_mode)
return prep_output
