NumProto provides NumPy ndarray to protobuf conversion.
Project description
NumProto
NumProto is a simple python3.6+ library to serialize and deserialize numpy arrays into and from protobuf messages.
Installation
You can install NumProto from the PyPI package:
$ pip install numproto
Usage
NumProto serializes a numpy array into an NDArray message as specified in
ndarray.proto:
syntax = "proto3";
package numproto.protobuf;
message NDArray {
bytes ndarray = 1;
}
This library provides two methods: one for serialization ndarray_to_proto and
one for deserialization proto_to_ndarray.
import numpy as np
from numproto import ndarray_to_proto, proto_to_ndarray
nda = np.arange(10)
serialized_nda = ndarray_to_proto(nda)
deserialized_nda = proto_to_ndarray(serialized_nda)
assert np.array_equal(nda, deserialized_nda)
Re-using the proto files in another project
Re-distributing *.proto files is notoriously difficult. In order to make this
easier the
ndarray.proto
file is installed together with the python package.
This allows us to simply pass the site-packages path as an import path to
protoc.
To get the correct path of
site-packagescheck the Location key when runningpip show numproto.
For example let's say we want to create a new proto file and import NDArray
to use within one of our defined messages:
syntax = "proto3";
import "numproto/protobuf/ndarray.proto";
message MyMessage {
numproto.protobuf.NDArray my_array = 1;
}
And to compile using grpcio-tools simply do:
$ python -m grpc_tools.protoc -I/usr/lib/python3.6/site-packages/ -I./ --python_out=. --grpc_python_out=. my_proto.proto
(you may need to adjust the location of site-packages)
Tests
To run the tests first install the numproto package from source in development
mode and then run the tests using pytest:
$ git clone https://github.com/xainag/numproto.git
$ cd numproto
$ pip install -e .[dev]
$ pytest
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