blob: a9ba949d9b6b030d08075ac5cd9d50a7b1813498 [file] [log] [blame]
# 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.
try:
from StringIO import StringIO
except ImportError:
from io import BytesIO as StringIO
from nexusproto import DataTile_pb2 as nexusproto
import numpy
def from_shaped_array(shaped_array):
memfile = StringIO()
memfile.write(shaped_array.array_data)
memfile.seek(0)
data_array = numpy.load(memfile)
memfile.close()
return data_array
def to_shaped_array(data_array):
shaped_array = nexusproto.ShapedArray()
shaped_array.shape.extend([dimension_size for dimension_size in data_array.shape])
shaped_array.dtype = str(data_array.dtype)
memfile = StringIO()
numpy.save(memfile, data_array)
shaped_array.array_data = memfile.getvalue()
memfile.close()
return shaped_array
def to_metadata(name, data_array):
metadata = nexusproto.MetaData()
metadata.name = name
metadata.meta_data.CopyFrom(to_shaped_array(data_array))
return metadata