baneeishaque / Cyber_Security
pythonmaster3c6ef54843 linessynced 22h ago
Code health
7.9out of 10Good
This codebase scores 7.9 out of 10 on defect risk, which we rate good. It also scores maintainability 8.9 and static performance risk 9.7 out of 10. The three are scored separately and never blended into one number.
- Lines of code
- 843
Recent activity
All commitsCommits
No commits indexed yet.
Decisions
- Adjust VisualizeData file path to local Ember datasetproposed · 22h ago
- Set num_load_files within available sample counts encoded in filenamesproposed · 22h ago
- Use checkpoint_dir variable to allow per-computer checkpoint pathsproposed · 22h ago
- Set datasetFolder to local data directoryproposed · 22h ago
- Configure GAN for own dataset via GAN() second parameterproposed · 22h ago
Needs attention
22 open- medium severity. ProposedAdjust VisualizeData file path to local Ember datasetAuto-proposed decision awaiting review
- medium severity. ProposedSet num_load_files within available sample counts encoded in filenamesAuto-proposed decision awaiting review
- medium severity. ProposedUse checkpoint_dir variable to allow per-computer checkpoint pathsAuto-proposed decision awaiting review
- medium severity. ProposedSet datasetFolder to local data directoryAuto-proposed decision awaiting review
- medium severity. ProposedConfigure GAN for own dataset via GAN() second parameterAuto-proposed decision awaiting review
Composition
Open the graphpython 85%markdown 15%
Explore this codebase
- Docs21 pages across 4 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files13 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 0 entry points
- Code healthPer-file scores, 27 open findings, coverage and refactoring targets
- Knowledge graphEntities, communities, and the paths between them
- Change couplingFiles that keep changing together, mined from commit history
- CommitsChange-risk ranked history with agent provenance
- ContributorsBus factor, per-file maintainers, and the human/agent split
- StatsSize class, origin, lifetime churn, rhythm and records
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