Asynchronously evaluate a compiled MATLAB® function that
uses the Python® object returned from the initialize()
function
by passing async = True
.
future = my_client.function_name(in_args, nargout=nargs, stdout=out_stream, stderr=err_stream, async=True)
my_client
— Name
of object returned from initialize()
function_name
—
Name of the function to invoke
in_args
— Comma-separated
list of input arguments
nargs
— Number of
results expected from the server
out_stream
— Python StringIO
object
receiving the console output
err_stream
— Python StringIO
object
receiving the error output
When the async
keyword is set to True
,
the MATLAB function is placed into a processing queue and a Python Future
object
is returned. You use the Future
object to retrieve
the results when the MATLAB function is finished processing.
To invoke the MATLAB function c1,c2= copy(o1,o2)
from
the package copier
asynchronously, use the following
code:
>>> import mutations >>> import matlab >>> myMutator = mutations.initialize() >>> m1 = matlab.double(...) >>> m2 = matlab.double(...) >>> m3 = matlab.double(...) >>> resultFuture = myMutator.mutate(m1,m2,m3, async=True) >>> while !resultFuture.done(): ... time.sleep(1) ... >>> result = resultFuture.result()
Tip
You can cancel asynchronous requests using the |