Memory management in NumPy*
*NumPy is a trademark owned by NumFOCUS.
Α metaclass is used to override the internal data memory routines. The metaclass has four optional fields:
>>> import ctypes >>> import ctypes.util >>> import numpy_allocator >>> my = ctypes.CDLL(ctypes.util.find_library('my')) >>> class my_allocator(metaclass=numpy_allocator.type): ... _calloc_ = ctypes.addressof(my.calloc_func) ... _free_ = ctypes.addressof(my.free_func) ... _malloc_ = ctypes.addressof(my.malloc_func) ... _realloc_ = ctypes.addressof(my.realloc_func) ...>>> import numpy as np >>> with my_allocator: ... a = np.array([1, 2, 3]) ... >>> my_allocator.handles(a) True