cereal
Parallelization requires tools to reference data without overuse of memory. cereal allows you to reference PyObjects to pointers without creating a deep copy in memory. An extension for ZeroIntensity's pointers.py.
cereal:
pointers.py:
import numpy as np
from cereal import eat
x = [1, 2, 3, 4]
yum = eat(x, its = 4, np.array, copy = False)
>> yum
>> array([<pointer to list object at 0x113b3edc0>,
<pointer to list object at 0x113b3edc0>,
<pointer to list object at 0x113b3edc0>,
<pointer to list object at 0x113b3edc0>], dtype=object) # 4 pointers to the original object
>> (~yum[0])[0]
>> 1
yum[0][0] = 4
>> x # the original object
>> [4, 2, 3, 4] # it changed!
1 maintainer
Metadata
1 maintainer
Release files for cereal-py 1.0.3
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| File | Size | Uploaded | Provenance | Actions |
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Release files / cereal-py-1.0.3.tar.gz
| Download URL | cereal-py-1.0.3.tar.gz |
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Release files / cereal_py-1.0.3-py3-none-any.whl
| Download URL | cereal_py-1.0.3-py3-none-any.whl |
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| Size | 4.2 kB |
| Tags | Python 3 |
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