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Workaround for deadlock of benchexec in container mode with parallel …
…benchmarks Fixes #435. This would occur for example if executing 100 parallel runs. This leads to a large number of threads and high thread contention, and forking the interpreter during thread contention (when gil_drop_request is set) deadlocks when re-entering the Python world in the child process. More information is in the issue.
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