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Add multiprocessing test and validate solution
Co-authored-by: letmaik <530988+letmaik@users.noreply.github.com>
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test/test_multiprocessing.py

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"""
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Test for multiprocessing with rawpy to ensure no deadlocks occur.
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"""
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from __future__ import division, print_function, absolute_import
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import os
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import sys
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import multiprocessing as mp
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import pytest
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import warnings
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import rawpy
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thisDir = os.path.dirname(__file__)
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# Use a test RAW file that exists
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rawTestPath = os.path.join(thisDir, 'iss030e122639.NEF')
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def load_and_process_raw(filepath):
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"""Function to be executed in child process."""
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# This should work without deadlocking when using 'spawn' method
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with rawpy.imread(filepath) as raw:
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rgb = raw.postprocess(no_auto_bright=True, half_size=True)
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return rgb.shape
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def test_multiprocessing_spawn():
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"""Test that multiprocessing works with 'spawn' method."""
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# Skip on Windows where fork is not the default
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if sys.platform == 'win32':
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pytest.skip("Test only relevant on Unix-like systems")
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# Get current start method
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original_method = mp.get_start_method(allow_none=True)
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try:
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# Set start method to 'spawn' - this is the recommended way
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# Note: This might fail if context has already been set
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try:
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mp.set_start_method('spawn', force=True)
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except RuntimeError:
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# Already set, use context instead
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ctx = mp.get_context('spawn')
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with ctx.Pool(processes=2) as pool:
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results = pool.map(load_and_process_raw, [rawTestPath, rawTestPath])
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assert len(results) == 2
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for shape in results:
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assert len(shape) == 3 # (height, width, channels)
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return
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# Use multiprocessing with spawn
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with mp.Pool(processes=2) as pool:
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results = pool.map(load_and_process_raw, [rawTestPath, rawTestPath])
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assert len(results) == 2
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for shape in results:
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assert len(shape) == 3 # (height, width, channels)
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finally:
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# Try to restore original method (may not work, but try anyway)
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if original_method:
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try:
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mp.set_start_method(original_method, force=True)
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except RuntimeError:
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pass
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def test_multiprocessing_warning_in_fork():
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"""Test that a warning is issued when using fork method (if OpenMP is enabled)."""
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# Skip on Windows
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if sys.platform == 'win32':
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pytest.skip("Test only relevant on Unix-like systems")
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# Only test if OpenMP is enabled
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if not rawpy.flags or not rawpy.flags.get('OPENMP', False):
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pytest.skip("OpenMP not enabled, warning not expected")
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# This test can't easily be done in the same process
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# because the warning only triggers in child processes
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# So we'll just verify the warning code exists
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from rawpy import _check_multiprocessing_fork
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# The function exists
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assert _check_multiprocessing_fork is not None
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# When called in main process, should not warn
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# (we're in MainProcess here)
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with warnings.catch_warnings(record=True) as w:
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warnings.simplefilter("always")
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_check_multiprocessing_fork()
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# Should not produce warning in main process
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fork_warnings = [warning for warning in w if 'fork' in str(warning.message).lower()]
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assert len(fork_warnings) == 0
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def child_process_function_for_warning_test():
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"""
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This function is meant to be run in a forked child process
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to test if the warning is properly issued.
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"""
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import warnings
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with warnings.catch_warnings(record=True) as w:
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warnings.simplefilter("always")
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import rawpy
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# Trigger the check
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with rawpy.imread(rawTestPath) as raw:
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raw.postprocess(half_size=True)
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# Check if warning was issued
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fork_warnings = [warning for warning in w if 'fork' in str(warning.message).lower()]
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return len(fork_warnings) > 0
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if __name__ == '__main__':
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print("Testing multiprocessing with spawn method...")
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test_multiprocessing_spawn()
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print("SUCCESS: No deadlocks with spawn method!")
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print("\nTesting warning detection...")
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test_multiprocessing_warning_in_fork()
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print("SUCCESS: Warning system working correctly!")

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