Source code for pycif.plugins.transforms.complex.diagmet.propagate_incompatible
import numpy as np
[docs]
def propagate_incompatible_domain(self, trans_mapper, trid_in, mode="backward"):
"""Assign the correct domain to a diagmet input tracer.
2-D (surface) and 3-D (column) meteorological fields use different
domain objects. This function inspects the output domains already
present in the mapper, selects the appropriate 2-D or 3-D domain for
*trid_in*, and assigns it.
Args:
self (Plugin): diagmet plugin instance (carries
``meteo_parameters_2d_in`` listing 2-D field names).
trans_mapper (dict): transform mapper; ``'inputs'[trid_in]["domain"]``
is set in-place.
trid_in (tuple): ``('meteo', parameter_name)`` key of the input
tracer whose domain should be resolved.
mode (str): propagation direction (unused; kept for API consistency).
Raises:
Exception: if multiple distinct 3-D or 2-D domains are found in the
output mapper (should not occur in a well-formed configuration).
"""
meteo_parameters_3d = self.model.meteo_parameters_3d
meteo_parameters_2d = self.model.meteo_parameters_2d
domains = [trans_mapper["outputs"][trid_out]["domain"]
for trid_out in trans_mapper["outputs"]
]
# Get 3D domains and check if incompatible
domains_3d = [
d for d in domains if d.nlev > 1
]
domain_3d = domains_3d[0]
for dom3d in domains_3d:
if dom3d != domain_3d:
raise Exception(
"More than two output 3D domains in diagmet. This should not happen"
)
# Get 3D domains and check if incompatible
domains_2d = [
d for d in domains if d.nlev == 1
]
domain_2d = domains_2d[0]
for dom2d in domains_2d:
if dom2d != domain_2d:
raise Exception(
"More than two output 2D domains in diagmet. This should not happen"
)
# Now fetch the correct domain
trans_mapper["inputs"][trid_in]["domain"] = \
domain_2d if trid_in in self.meteo_parameters_2d_in else domain_3d