python

NumPy array memory allocation error

numpy\.core\._exceptions\._ArrayMemoryError

Fixes

1.Use memory-mapped arrays with np.memmap()
2.Process data in chunks instead of loading all at once
3.Use smaller dtypes (float32 instead of float64)

numpymemory

Related Errors

Asyncio event loop already running

RuntimeError: This event loop is already running

•Use nest_asyncio.apply() to allow nested event loops
•Use asyncio.run_coroutine_threadsafe() instead of asyncio.run()

Coroutine never awaited

RuntimeWarning: coroutine '.*' was never awaited

•Add 'await' before the coroutine call
•Use asyncio.create_task() to schedule the coroutine

Asyncio task was cancelled

asyncio\.CancelledError

•Handle CancelledError in try/except within the task
•Use asyncio.shield() to protect critical sections from cancellation