fix: Invert deep crawling scorer logic for correct priority

[Joorrit]

Summary

Fixes #1080

List of files changed and why

Inverted the scoring function of the PathDepthScorer as it was giving a path that has a higher distance to the optimal depth a lower score and a path that is close to the optimal depth a higher score.

Also updated the precomputed values that are only used by the PathDepthScorer.

Done the same thing with KeywordRelevanceScorer, ContentTypeScorer, FreshnessScorer and DomainAuthorityScorer.

The file bff_strategy.py states: Lower scores are treated as higher priority. However, the current implementation treats higher score values as better, which contradicts this statement.

How Has This Been Tested?

I testet the code before and after this change and it works as expected after the change.

Checklist:

• [x] My code follows the style guidelines of this project
• [x] I have performed a self-review of my own code
• [x] I have commented my code, particularly in hard-to-understand areas
• [x] I have made corresponding changes to the documentation
• [x] I have added/updated unit tests that prove my fix is effective or that my feature works
• [x] New and existing unit tests pass locally with my changes

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