def do_etendue_via_imager(conj_type,
imager,
etendue_inputs,
etendue_grid,
n_0=1,
n_k=1):
imager_inputs = {}
li = dict2d.num_items_by_type(etendue_inputs, fld_ape_set, obj_img_set)
if li['field'] == 1:
row = dict2d.row(etendue_inputs, 'field')
obj_img_key = 'object' if len(row['object']) else 'image'
do_field_via_imager(conj_type,
imager,
etendue_inputs,
obj_img_key,
etendue_grid,
n_0=n_0,
n_k=n_k)
if li['aperture'] == 1:
row = dict2d.row(etendue_inputs, 'aperture')
obj_img_key = 'object' if len(row['object']) else 'image'
do_aperture_via_imager(conj_type, imager, etendue_inputs, obj_img_key,
etendue_grid)
if li['field'] == 2 or li['aperture'] == 2:
fld_ape_key = 'field' if li['field'] == 2 else 'aperture'
# solve for imager
imager_inputs = do_etendue_to_imager(fld_ape_key,
etendue_inputs,
etendue_grid,
n_0=n_0,
n_k=n_k)
return imager_inputs
def partition_defined(self):
""" which partition defines the imager or None """
num_imager_inputs = len(self.imager_inputs)
li = dict2d.num_items_by_type(self.etendue_inputs,
fld_ape_set, obj_img_set)
num_field_inputs = li['field']
num_aperture_inputs = li['aperture']
partitions = {'imager': num_imager_inputs,
'field': num_field_inputs,
'aperture': num_aperture_inputs}
self.partitions = partitions
max_partition = max(partitions, key=partitions.get)
max_num_inputs = partitions[max_partition]
return max_partition if max_num_inputs == 2 else None, max_num_inputs