Resolve issue CRPYT404 (Team 1.5)

[AghilesAzzoug]

Resolve of issue CRPYT404.

Summary

The use of generator expressions instead of list comprehensions in for-loops declaration can save RAM usage. It has multiple benefits like reducing CO2 emissions as well as releasing memory constraints on the hardware.

Why it works?

Python generators resemble lazy lists from other programming languages: when iterated over, they compute their values on the fly. They lack some list behaviors (indexing, len method, ...) but are memory-efficient, as they do not store each of their values in memory, unlike lists. Thus, when declared in a for-loop declaration, list comprehensions can be safely replaced with generator expressions.
For more details on list comprehensions vs generator expressions, see Python documentation.

Local experiments* on list comprehensions vs generator comprehensions gives the following results on:

1. Memory usage:

2. Co2 Emissions

Using CodeCarbon we get the following results:

For both metrics, the bigger the list, the greater is the gain is.

*Specs for experimentations:

• 12th Gen Intel Core I7-12700H
• 16 Gb RAM (4800 Mhz)
• Windows 11 OS version 22H2
• Python 3.9.15
• memory_profiler==0.61.0 (for RAM experiments)
• codecarbon==2.1.4 (for CO2 emissions)

On SonarQube

The render of an issue:

The render of the issue explanation:

[sonarcloud]

Kudos, SonarCloud Quality Gate passed!   

0 Bugs
0 Vulnerabilities
0 Security Hotspots
2 Code Smells

100.0% Coverage
0.0% Duplication

[dedece35]

Hi @AghilesAzzoug ,

please, could you :

• resolve conflicts
• take into account review notes
• add some tests in python-test-project repository
• modify CHANGELOG.md file
• modify RULES.md file with your rule
• correct code smells

... in order to merge this PR.

[AghilesAzzoug]

Hello @dedece35,

Thanks for reviewing this PR.

• Your review notes were taken into account.
• For the python-test-project, there's already a pending PR with test code for this issue (see #1).
• CHANGELOG.md and RULES.md were updated.
• I changed some parts of the code to adhere to SonarQube conventions.

[sonarcloud]

Kudos, SonarCloud Quality Gate passed!   

0 Bugs
0 Vulnerabilities
0 Security Hotspots
0 Code Smells

92.9% Coverage
0.0% Duplication