This PR significantly improves performance when transferring future state from `concurrent.futures.Future` to `asyncio.Future`, a common operation when dispatching executor jobs in asyncio applications.The current `_copy_future_state` implementation requires multiple method calls and lock acquisitions to retrieve the source future's state:1. `done()` - acquires lock to check state2. `cancelled()` - acquires lock again3. `exception()` - acquires lock to get exception4. `result()` - acquires lock to get resultEach method call involves thread synchronization overhead, making this operation a bottleneck for high-frequency executor dispatches.Our use case involves dispatching a large number of small executor jobs from `asyncio` to a thread pool. These jobs typically involve `open` or `stat` on files that are already cached by the OS, so the actual I/O returns almost instantly. However, we still have to offload them to avoid blocking the event loop, since there's no reliable way to determine in advance whether a read will hit the cache.As a result, the majority of the overhead isn't from the I/O itself, but from the cost of scheduling. Most of the time is spent copying future state, which involves locking. This PR reduces that overhead, which has a meaningful impact at scale.Add a new `_get_snapshot()` method to `concurrent.futures.Future` that atomically retrieves all state information in a single lock acquisition:- Returns tuple: `(done, cancelled, result, exception)`- Uses optimized fast path for already-finished futures (no lock needed)- Provides atomic state capture for other statesThe `_copy_future_state` function in `asyncio` now uses this snapshot method when available, falling back to the traditional approach for backwards compatibility.Benchmark results show dramatic improvements for the common case:- **concurrent.futures→asyncio transfer: 4.12x faster**- asyncio→asyncio transfer: Slightly slower (1.05x) due to hasattr check (I couldn't find any places where this actually happens though as it looks like `_chain_future` the only entry point to `_copy_future_state` and it is always called with `concurrent.futures.Future`)This optimization particularly benefits applications that:- Dispatch many small executor jobs (e.g., filesystem operations, DNS lookups)- Use thread pools for I/O-bound operations in asyncio- Have high frequency of executor task completion- Adds `_get_snapshot()` to `concurrent.futures.Future` for atomic state retrieval- Updates `_copy_future_state()` to prefer snapshot method when available- Maintains full backwards compatibility with existing code- Minimal code changes with focused optimizationThese show consistent 4x+ speedup for the critical concurrent.futures→asyncio path.```=== 1. Benchmarking concurrent.futures -> asyncio ===Running original...concurrent_to_asyncio: Mean +- std dev: 986 ns +- 16 nsRunning optimized...concurrent_to_asyncio: Mean +- std dev: 239 ns +- 4 nsComparison:Mean +- std dev: [concurrent_original] 986 ns +- 16 ns -> [concurrent_optimized] 239 ns +- 4 ns: 4.12x faster=== 2. Benchmarking asyncio -> asyncio ===Running original...asyncio_to_asyncio: Mean +- std dev: 221 ns +- 4 nsRunning optimized...asyncio_to_asyncio: Mean +- std dev: 232 ns +- 4 nsComparison:Mean +- std dev: [asyncio_original] 221 ns +- 4 ns -> [asyncio_optimized] 232 ns +- 4 ns: 1.05x slowerCleaning up...``````pythonimport pyperfimport concurrent.futuresimport asyncioimport subprocessimport osimport sysdef write_benchmark_scripts():    """Write individual benchmark scripts for each scenario."""    # Common helper code    common_imports = '''import pyperfimport concurrent.futuresimport asynciodef _convert_future_exc(exc):    exc_class = type(exc)    if exc_class is concurrent.futures.CancelledError:        return asyncio.CancelledError(*exc.args)    elif exc_class is concurrent.futures.TimeoutError:        return asyncio.TimeoutError(*exc.args)    elif exc_class is concurrent.futures.InvalidStateError:        return asyncio.InvalidStateError(*exc.args)    else:        return exc'''    # Optimization patch code    optimization_patch = '''FINISHED = concurrent.futures._base.FINISHEDCANCELLED = concurrent.futures._base.CANCELLEDCANCELLED_AND_NOTIFIED = concurrent.futures._base.CANCELLED_AND_NOTIFIEDdef _get_snapshot_implementation(self):    """Get a snapshot of the future's current state."""    # Fast path: check if already finished without lock    if self._state == FINISHED:        return True, False, self._result, self._exception    # Need lock for other states since they can change    with self._condition:        if self._state == FINISHED:            return True, False, self._result, self._exception        if self._state in {CANCELLED, CANCELLED_AND_NOTIFIED}:            return True, True, None, None        return False, False, None, Noneconcurrent.futures.Future._get_snapshot = _get_snapshot_implementation'''    # Original copy implementation    original_copy = '''def copy_future_original(source, dest):    """Original implementation using individual method calls."""    if dest.cancelled():        return    if hasattr(source, 'done'):        assert source.done()    if source.cancelled():        dest.cancel()    else:        exception = source.exception()        if exception is not None:            dest.set_exception(_convert_future_exc(exception))        else:            result = source.result()            dest.set_result(result)'''    # Optimized copy implementation    optimized_copy = '''def copy_future_optimized(source, dest):    """Optimized implementation using _get_snapshot when available."""    if dest.cancelled():        return    # Use _get_snapshot for futures that support it    if hasattr(source, '_get_snapshot'):        done, cancelled, result, exception = source._get_snapshot()        assert done        if cancelled:            dest.cancel()        elif exception is not None:            dest.set_exception(_convert_future_exc(exception))        else:            dest.set_result(result)        return    # Traditional fallback for asyncio.Future    if hasattr(source, 'done'):        assert source.done()    if source.cancelled():        dest.cancel()    else:        exception = source.exception()        if exception is not None:            dest.set_exception(_convert_future_exc(exception))        else:            result = source.result()            dest.set_result(result)'''    # 1. concurrent.futures -> asyncio (original)    with open('bench_concurrent_to_asyncio_original.py', 'w') as f:        f.write(common_imports + original_copy + '''source = concurrent.futures.Future()source.set_result(42)loop = asyncio.new_event_loop()def task():    """Single copy operation benchmark."""    dest = asyncio.Future(loop=loop)    copy_future_original(source, dest)    dest.cancel()runner = pyperf.Runner()runner.bench_func('concurrent_to_asyncio', task)''')    # 2. concurrent.futures -> asyncio (optimized)    with open('bench_concurrent_to_asyncio_optimized.py', 'w') as f:        f.write(common_imports + optimization_patch + optimized_copy + '''source = concurrent.futures.Future()source.set_result(42)loop = asyncio.new_event_loop()def task():    """Single copy operation benchmark."""    dest = asyncio.Future(loop=loop)    copy_future_optimized(source, dest)    dest.cancel()runner = pyperf.Runner()runner.bench_func('concurrent_to_asyncio', task)''')    # 3. asyncio -> asyncio (original)    with open('bench_asyncio_to_asyncio_original.py', 'w') as f:        f.write(common_imports + original_copy + '''loop = asyncio.new_event_loop()source = asyncio.Future(loop=loop)source.set_result(42)def task():    """Single copy operation benchmark."""    dest = asyncio.Future(loop=loop)    copy_future_original(source, dest)    dest.cancel()runner = pyperf.Runner()runner.bench_func('asyncio_to_asyncio', task)''')    # 4. asyncio -> asyncio (optimized - should use fallback)    with open('bench_asyncio_to_asyncio_optimized.py', 'w') as f:        f.write(common_imports + optimization_patch + optimized_copy + '''loop = asyncio.new_event_loop()source = asyncio.Future(loop=loop)source.set_result(42)def task():    """Single copy operation benchmark."""    dest = asyncio.Future(loop=loop)    copy_future_optimized(source, dest)    dest.cancel()runner = pyperf.Runner()runner.bench_func('asyncio_to_asyncio', task)''')def run_benchmarks():    """Run all benchmarks and compare results."""    print("Writing benchmark scripts...")    write_benchmark_scripts()    # Clean up old results    for f in ['concurrent_original.json', 'concurrent_optimized.json',              'asyncio_original.json', 'asyncio_optimized.json']:        if os.path.exists(f):            os.remove(f)    print("\n=== 1. Benchmarking concurrent.futures -> asyncio ===")    print("Running original...")    subprocess.run([sys.executable, 'bench_concurrent_to_asyncio_original.py',                   '-o', 'concurrent_original.json', '--quiet'])    print("Running optimized...")    subprocess.run([sys.executable, 'bench_concurrent_to_asyncio_optimized.py',                   '-o', 'concurrent_optimized.json', '--quiet'])    print("\nComparison:")    subprocess.run([sys.executable, '-m', 'pyperf', 'compare_to',                   'concurrent_original.json', 'concurrent_optimized.json'])    print("\n=== 2. Benchmarking asyncio -> asyncio ===")    print("Running original...")    subprocess.run([sys.executable, 'bench_asyncio_to_asyncio_original.py',                   '-o', 'asyncio_original.json', '--quiet'])    print("Running optimized...")    subprocess.run([sys.executable, 'bench_asyncio_to_asyncio_optimized.py',                   '-o', 'asyncio_optimized.json', '--quiet'])    print("\nComparison:")    subprocess.run([sys.executable, '-m', 'pyperf', 'compare_to',                   'asyncio_original.json', 'asyncio_optimized.json'])    # Clean up    print("\nCleaning up...")    for f in ['bench_concurrent_to_asyncio_original.py',              'bench_concurrent_to_asyncio_optimized.py',              'bench_asyncio_to_asyncio_original.py',              'bench_asyncio_to_asyncio_optimized.py']:        if os.path.exists(f):            os.remove(f)    print("\n=== Summary ===")    print("concurrent.futures -> asyncio: Should show significant speedup")    print("asyncio -> asyncio: Should show no regression (fallback path)")if __name__ == "__main__":    run_benchmarks()```

…t.futures.Future

…ead_to_asyncio_slow

Co-authored-by: Kumar Aditya <kumaraditya@python.org>