| # 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 |