Level to HN: NumPy Allocator – Configurable reminiscence allocations in Python

Memory management in NumPy* *NumPy is a trademark owned by NumFOCUS. Customize Memory Allocators Α metaclass is used to override the internal data memory routines. The metaclass has four optional fields: import ctypes import numpy_allocator my = ctypes.CDLL(‘libmy.so’) class my_allocator(metaclass=numpy_allocator.type): … _calloc_ = my.calloc_func … _free_ =

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Level to HN: NumPy Allocator – Configurable reminiscence allocations in Python

Memory administration in NumPy*

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*NumPy is a trademark owned by NumFOCUS.

Customize Memory Allocators

Α metaclass is feeble to override the inner records reminiscence routines. The metaclass has four no longer compulsory fields:

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