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- Remove fake/mock implementations in transformers module that pass tests but teach wrong concepts - Replace try/except import chains with clean production-style dependency management - Eliminate defensive copying anti-pattern in Tensor constructor - Implement PyTorch-style memory efficiency with zero-copy views when possible - Clean up circular import issues with proper development/production import paths These changes ensure students learn production-quality ML systems engineering patterns.