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# Copyright 2025 DeepMind Technologies Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Generate dicts corresponding to mjModel and mjData array X macros."""
from . import structs
MJMODEL_S = structs.STRUCTS['mjModel']
MJDATA_S = structs.STRUCTS['mjData']
MJMODEL = dict()
MJDATA = dict()
for field in MJMODEL_S.fields:
if not isinstance(field, structs.StructFieldDecl):
continue
if field.array_extent is None:
continue
if len(field.array_extent) == 1:
MJMODEL[field.name] = (field.array_extent[0], '1')
else:
MJMODEL[field.name] = (field.array_extent[0], str(field.array_extent[1]))
for field in MJDATA_S.fields:
if not isinstance(field, structs.StructFieldDecl):
continue
if field.array_extent is None:
continue
if len(field.array_extent) == 1:
MJDATA[field.name] = (field.array_extent[0], '1')
else:
MJDATA[field.name] = (field.array_extent[0], str(field.array_extent[1]))