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 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)
...
An example using the allocator
>>> import numpy as np
>>> with my_allocator:
... a = np.array([1, 2, 3])
...
>>> my_allocator.handles(a)
True
1 maintainer
Metadata
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Release files for numpy-allocator 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| numpy_allocator-1.2.1.tar.gz | 11.0 kB | Without provenance | Details for numpy_allocator-1.2.1.tar.gz |
Built distributions (wheels)
Total release size: 851.5 kB
Release files / numpy_allocator-1.2.1.tar.gz
| Download URL | numpy_allocator-1.2.1.tar.gz |
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| Size | 11.0 kB |
| Tags | Source |
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| Download URL | numpy_allocator-1.2.1-cp313-cp313-musllinux_1_2_x86_64.whl |
|---|---|
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| Download URL | numpy_allocator-1.2.1-cp313-cp313-musllinux_1_2_i686.whl |
|---|---|
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Release files / numpy_allocator-1.2.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | numpy_allocator-1.2.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 35.2 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-32 Linux glibc 2.5+ x86-32 |
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043bdbcc2aad274b2df4cb3049cb4de078456bed48522de89239b7462c32c736
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twine/5.1.1 CPython/3.12.7
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