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WIP: Add tests for SharedMemory and NDArray
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### | ||
# #%L | ||
# Appose: multi-language interprocess cooperation with shared memory. | ||
# %% | ||
# Copyright (C) 2023 Appose developers. | ||
# %% | ||
# Redistribution and use in source and binary forms, with or without | ||
# modification, are permitted provided that the following conditions are met: | ||
# | ||
# 1. Redistributions of source code must retain the above copyright notice, | ||
# this list of conditions and the following disclaimer. | ||
# 2. Redistributions in binary form must reproduce the above copyright notice, | ||
# this list of conditions and the following disclaimer in the documentation | ||
# and/or other materials provided with the distribution. | ||
# | ||
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | ||
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | ||
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | ||
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE | ||
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR | ||
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | ||
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | ||
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | ||
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) | ||
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | ||
# POSSIBILITY OF SUCH DAMAGE. | ||
# #L% | ||
### | ||
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from multiprocessing.shared_memory import SharedMemory | ||
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import appose | ||
from appose.service import TaskStatus | ||
from appose.types import NDArray | ||
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ndarray_inspect = """ | ||
task.outputs["size"] = data.shm.size | ||
task.outputs["dtype"] = data.dtype | ||
task.outputs["shape"] = data.shape | ||
task.outputs["sum"] = sum(v for v in data.shm.buf) | ||
""" | ||
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def test_ndarray(): | ||
env = appose.system() | ||
with env.python() as service: | ||
# Construct the data. | ||
shm = SharedMemory(create=True, size=2 * 2 * 20 * 25) | ||
shm.buf[0] = 123 | ||
shm.buf[456] = 78 | ||
shm.buf[1999] = 210 | ||
data = NDArray("uint16", [2, 20, 25], shm) | ||
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# Run the task. | ||
task = service.task(ndarray_inspect, {"data": data}) | ||
task.wait_for() | ||
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# Validate the execution result. | ||
assert TaskStatus.COMPLETE == task.status | ||
assert 2 * 20 * 25 * 2 == task.outputs["size"] | ||
assert "uint16" == task.outputs["dtype"] | ||
assert [2, 20, 25] == task.outputs["shape"] | ||
assert 123 + 78 + 210 == task.outputs["sum"] | ||
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# Clean up. | ||
shm.unlink() |
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