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import _xxsubinterpreters as interpreters | |
import threading | |
import textwrap as tw | |
import pickle | |
# Create a sub-interpreter | |
interpid = interpreters.create() | |
# If you had a function that generated a numpy array | |
arry = [5,4,3,2,1] | |
# Create a channel | |
channel_id = interpreters.channel_create() | |
# Pre-populate the interpreter with a module | |
interpreters.run_string(interpid, "import pickle; import _xxsubinterpreters as interpreters") | |
buffers=[] | |
# Define a | |
def run(interpid, channel_id): | |
interpreters.run_string(interpid, | |
tw.dedent(""" | |
arry_raw = interpreters.channel_recv(channel_id) | |
arry = pickle.loads(arry_raw) | |
print(f"Got: {arry}") | |
result = arry[::-1] | |
result_raw = pickle.dumps(result, protocol=5) | |
interpreters.channel_send(channel_id, result_raw) | |
"""), | |
shared=dict( | |
channel_id=channel_id, | |
), | |
) | |
input = pickle.dumps(arry, protocol=5, buffer_callback=buffers.append) | |
interpreters.channel_send(channel_id, input) | |
# Run inside a thread | |
t = threading.Thread(target=run, args=(interpid, channel_id)) | |
t.start() | |
# Sub interpreter will process. Feel free to do anything else now. | |
output = interpreters.channel_recv(channel_id) | |
interpreters.channel_release(channel_id) | |
output_arry = pickle.loads(output) | |
print(f"Got back: {output_arry}") |
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