numproto 0.2.0

numproto provides numpy arrays to protobuf conversion

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-packages check the Location key when running pip 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