- Test _load_model exit paths: adapter without base model, corrupt JSON
- Test _generate branches: greedy (temp=0), sampling (temp>0), no
chat_template fallback, token count from tensor shape, role formatting
- Test max_tokens bounds: 0 and 99999 rejected by CLI
- Test tensorboard happy path: flag accepted when tensorboard installed
- Fix import-failure test: avoid builtins.__import__ recursion
- 917 tests, 44 test files, 57.92% coverage
- Fix test_tensorboard_in_train_help: strip ANSI escape codes before
asserting --tensorboard in help output (Rich splits flag across
escape sequences on Python 3.11)
- Fix TensorBoard import check: use `import tensorboard` directly
- Stream JSONL output during inference (crash-safe for large files)
- Return accurate token count from _generate via tensor shape
- Replace shallow tests with real trainer integration tests
- Cap max_tokens at 16384 + trust_remote_code warning
- Fix TensorBoard import check: use `import tensorboard` directly
(not torch.utils.tensorboard shim) for accurate availability check
- Stream JSONL output during inference instead of buffering in memory
(crash-safe, handles large prompt files)
- Return accurate token count from _generate via tensor shape instead
of re-encoding decoded text
- Replace shallow tests with real trainer integration tests that
verify report_to='tensorboard' is accepted by all trainer wrappers
Alpamys