GCI1442 [Team TREE][2025] - Reduce memory footprint of dataclasses #82
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MP-Aubay
requested changes
May 21, 2025
pom.xml
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| @@ -69,7 +69,7 @@ | |||
| <mockito.version>5.17.0</mockito.version> | |||
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| <!-- temporary version waiting for a real automatic release in creedengo repository --> | |||
| <creedengo-rules-specifications.version>2.2.2</creedengo-rules-specifications.version> | |||
| <creedengo-rules-specifications.version>main-SNAPSHOT</creedengo-rules-specifications.version> | |||
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This PR has been automatically marked as stale because it has no activity for 30 days. |
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Added rule GCI1442.
Since python 3.10 dataclass instances can easily enable a memory optimization
By default, when we define a class in Python, it uses a dict to store its attributes and methods.
This means that every instance of the class has an extensible dictionary to store its data, this flexibility comes at the cost of memory usage.
When we use slots, Python creates a tuple to store the attributes of the class instead of a dictionary, reducing memory usage.
Reference :
green-code-initiative/creedengo-challenge#32
green-code-initiative/creedengo-rules-specifications#409