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# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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.
import numpy
from nexusproto.serialization import from_shaped_array, to_shaped_array
from sdap.processors import NexusTileProcessor
class DeleteUnitAxis(NexusTileProcessor):
def __init__(self, dimension, *args, **kwargs):
super().__init__(*args, **kwargs)
self.dimension = dimension
def process_nexus_tile(self, nexus_tile):
axis = [x.split(':')[0] for x in nexus_tile.summary.section_spec.split(',')].index(self.dimension)
the_tile_type = nexus_tile.tile.WhichOneof("tile_type")
the_tile_data = getattr(nexus_tile.tile, the_tile_type)
var_data = from_shaped_array(the_tile_data.variable_data)
if numpy.size(var_data, axis) == 1:
the_tile_data.variable_data.CopyFrom(to_shaped_array(numpy.squeeze(var_data, axis=axis)))
else:
raise RuntimeError("Cannot delete axis for dimension %s because length is not 1." % self.dimension)
yield nexus_tile