Python gRPC server module#

Python implementation of the gRPC API Eigen example server.

class ansys.eigen.python.grpc.server.GRPCDemoServicer[source]#

Bases: GRPCDemoServicer

Provides methods that implement functionality of the API Eigen Example server.

AddMatrices(request_iterator, context)[source]#

Add matrices.

Parameters:

request_iteratoriterator: Iterator to the stream of matrix messages provided.
contextgrpc.ServicerContext: gRPC-specific information.

Returns:

grpcdemo_pb2.Matrix: Matrix message.

AddVectors(request_iterator, context)[source]#

Add vectors.

Parameters:

request_iteratoriterator: Iterator to the stream of vector messages provided.
contextgrpc.ServicerContext: gRPC-specific information.

Returns:

grpcdemo_pb2.Vector: Vector message.

FlipVector(request_iterator, context)[source]#

Flip a given vector.

Parameters:

request_iteratoriterator: Iterator to the stream of vector messages provided.
contextgrpc.ServicerContext: gRPC-specific information.

Returns:

grpcdemo_pb2.Vector: Flipped vector message.

MultiplyMatrices(request_iterator, context)[source]#

Multiply two matrices.

Parameters:

request_iteratoriterator: Iterator to the stream of Matrix messages provided.
contextgrpc.ServicerContext: gRPC-specific information.

Returns:

grpcdemo_pb2.Matrix: Matrix message.

MultiplyVectors(request_iterator, context)[source]#

Multiply two vectors.

Parameters:

request_iteratoriterator: Iterator to the stream of vector messages provided.
contextgrpc.ServicerContext: gRPC-specific information.

Returns:

grpcdemo_pb2.Vector: Vector message.

SayHello(request, context)[source]#

Test the greeter method to see if the server is up and running correctly.

Parameters:

requestHelloRequest: Greeting request sent by the client.
contextgrpc.ServicerContext: gRPC-specific information.

Returns:

grpcdemo_pb2.HelloReply: Reply to greeting by the server.

ansys.eigen.python.grpc.server.check_data_type(dtype, new_dtype)[source]#

Check if the new data type is the same as the previous data type.

Parameters:

dtypenumpy.type: Type of the numpy array before processing.
new_dtypenumpy.type: Type of the numpy array to be processed.

Returns:

numpy.type: Type of the numpy array.

Raises:

RuntimeError: In case there is already a type and it does not match that of the new_type argument.

ansys.eigen.python.grpc.server.check_size(size, new_size)[source]#

Check if the new parsed size is the same as the previous size.

Parameters:

sizetuple: Size of the numpy array before processing.
new_size_type_: Size of the numpy array to process.

Returns:

tuple: Size of the numpy array.

Raises:

RuntimeError: In case there is already a size and it does not match that of the new_size argument.

ansys.eigen.python.grpc.server.serve()[source]#: Deploy the API Eigen Example server.