https://github.com/inaccel/numpy-allocator

Configurable memory allocations
https://github.com/inaccel/numpy-allocator

numpy python

Last synced: about 13 hours ago
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Configurable memory allocations

• Host: GitHub
• URL: https://github.com/inaccel/numpy-allocator
• Owner: inaccel
• License: apache-2.0
• Created: 2021-03-30T11:08:27.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2024-10-07T08:07:36.000Z (3 months ago)
• Last Synced: 2024-12-15T04:35:38.596Z (about 1 month ago)
• Topics: numpy, python
• Language: C
• Homepage:
• Size: 47.9 KB
• Stars: 14
• Watchers: 3
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## Memory management in [NumPy](https://numpy.org)*

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/inaccel/numpy-allocator/master?labpath=NumPy-Allocator.ipynb)

[![PyPI version](https://badge.fury.io/py/numpy-allocator.svg)](https://badge.fury.io/py/numpy-allocator)

**NumPy is a trademark owned by [NumFOCUS](https://numfocus.org).*

#### Customize Memory Allocators

Α metaclass is used to override the internal data memory routines. The metaclass has four optional fields:

```python

>>> 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

```python

>>> import numpy as np

>>> with my_allocator:

...     a = np.array([1, 2, 3])

...

>>> my_allocator.handles(a)

True

```