Source code for pycif.plugins.obsoperators.standard.transforms.init_control_transformations

import itertools
import copy
from .utils import add_default
from .....utils.classes.transforms import Transform


def init_control_transformations(
        self, all_transforms, controlvect,
        backup_comps, mapper):
    """Initialize transforms on the control vector side.
    
    Also loops on all components/tracers of the ``datavect`` and for those for which
    the argument ``unit_conversion`` is specified, applies the :doc:`unit_conversion
    </documentation/plugins/transforms/basic/unit_conversion>`
    transform.
    
    """
    
    # Initializes the overall transform pipe
    if not hasattr(controlvect, "transform_pipe"):
        controlvect.transform_pipe = Transform.from_dict({})

    transforms = controlvect.transform_pipe
    transfs_ids = getattr(transforms, "attributes", [])

    components = controlvect.datavect.components
    comps = components.attributes
    
    # Loops backwards on available transformations and update inputs/outputs
    # According to model inputs
    itransf = len(transfs_ids)
    ntransf_before = len(all_transforms.attributes)
    while itransf > 0:
        itransf -= 1
        ntransf_loc = 0
        transform = "{}_before".format(transfs_ids[itransf])

        # Initializes mapper if not already done
        if transform not in mapper:
            # Replacing the transform by a transform class
            # if not already initialized
            transf = getattr(transforms, transfs_ids[itransf])
            if transf is None:
                transf = Transform.from_dict({}, orig_name=transform)
            
            setattr(all_transforms, transform, transf)
            all_transforms.attributes.insert(0, transform)

            # Updating the general mapper, and creates a local one
            transf_mapper = transf.ini_mapper(
                general_mapper=mapper,
                backup_comps=backup_comps,
            )
            transf.mapper = transf_mapper
            mapper[transform] = transf_mapper

        else:
            transf_mapper = mapper[transform]
    
    # Keep in memory transformations on the controlvect side
    all_transforms.controlpipe = [tr for tr in all_transforms.attributes]