numpy-allocator 1.1.3

Configurable memory allocations

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_ = my.free_func
...     _malloc_ = my.malloc_func
...     _realloc_ = my.realloc_func
...

An example using the allocator

>>> import numpy as np
>>> with my_allocator:
...     a = np.array([1, 2, 3])
...
>>> my_allocator.handles(a)
True