张宗平
0723b257fd
Root cause (found during 50k sample generation at seed 6975, surfacing as 'ValueError: Number of samples, -187, must be non-negative' from linspace in _inject_drift): _random_window's best-effort fallback after 50 failed non-overlap attempts drew start and end from TWO INDEPENDENT random integers, so end could be < start. The primary loop was consistent (start, start+length). Fix: reuse the same start in the fallback so end >= start always holds (overlap is still allowed in best-effort, just no inversion). - tests/test_synthesis.py: regression sweeping 300 seeds × 4 type combos, asserting every segment's end >= start. 146 tests passing.
tsmm
Time-series as a Modality — an experimental, single-GPU multimodal model that treats multivariate time series as an independent modality, jointly injected into a small LLM (Qwen2.5-0.5B) for time-series question answering and reasoning (ChatTS route).
Status
M1 (data pipeline) under construction. See
docs/superpowers/specs/2026-06-29-ts-as-modality-design.md for the design and
docs/superpowers/plans/2026-06-29-ts-as-modality-plan.md for the task plan.
Layout
src/tsmm/ package (data, model, train, eval)
configs/ training / data configs
scripts/ offline generation & training entrypoints
tests/ pytest suite
data/ generated datasets (gitignored)
checkpoints/ model checkpoints (gitignored)
Install (dev)
python3 -m venv .venv
. .venv/bin/activate
pip install -e . # full deps (incl. torch/transformers/peft/...)
# M1-only lightweight install:
pip install numpy tqdm pyyaml pytest && pip install -e . --no-deps