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chore: bump uv.lock and fix ruff 0.16 default-rule lint findings
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uv.lock was stale (ty 0.0.50 -> 0.0.78, ruff 0.15 -> 0.16, polars, numpy,
typer, wandb, pytest, and others), all within existing pyproject.toml
bounds. ruff 0.16 widened its default rule selection, taking this repo
from 0 to 274 lint errors under the same config; --fix handled most of
it (import sorting, Optional[X] -> X | None, ...), and the remainder
(unused unpacked variables, dict()-as-literal, subprocess.run without
explicit check=, a couple of intentional broad excepts/naive datetimes)
were fixed or annotated by hand. Also fixes a real type-narrowing gap
ty 0.0.78 caught in test_config_consumed_keys.py's `or`-combined
isinstance check.

torch stays pinned to 2.3.x (deliberate, see CLAUDE.md); pyarrow's <25
ceiling is left as a separate decision.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TMdZFqXXig7i3XkirSUxef
This commit is contained in:
Lars Bogner
2026-09-04 14:09:29 +02:00
parent 600e04f46a
commit c984d0a19d
60 changed files with 1686 additions and 1427 deletions
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tests/test_sample.py
+4 -4
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@@ -262,7 +262,7 @@ def test_sample_secondaries_ar_first_slot_has_no_history():
cond_cont, cond_cat = _cond(B)
stage1_out = torch.randn(B, X_DIM)
n_sec_pred = torch.tensor([0, 1, 1])
sec_cont, sec_type, sec_valid = sample_secondaries_ar(decoder, cond_cont, cond_cat, stage1_out, n_sec_pred, steps=2)
sec_cont, _, sec_valid = sample_secondaries_ar(decoder, cond_cont, cond_cat, stage1_out, n_sec_pred, steps=2)
assert sec_cont.shape == (B, 1, CONT_SLOT_DIM)
assert sec_valid.tolist() == [[False], [True], [True]]
@@ -281,7 +281,7 @@ def test_sample_secondaries_ar_stop_token_forced_stop_gives_zero_secondaries(n_s
_force_stop_head_logit(decoder, 50.0)
cond_cont, cond_cat = _cond(B)
stage1_out = torch.randn(B, X_DIM)
sec_cont, sec_type, sec_valid = sample_secondaries_ar(decoder, cond_cont, cond_cat, stage1_out, None, steps=2)
_, _, sec_valid = sample_secondaries_ar(decoder, cond_cont, cond_cat, stage1_out, None, steps=2)
assert sec_valid.shape == (B, k_max)
assert not sec_valid.any()
@@ -296,7 +296,7 @@ def test_sample_secondaries_ar_stop_token_forced_never_stop_runs_to_k_max(n_sec_
_force_stop_head_logit(decoder, -50.0)
cond_cont, cond_cat = _cond(B)
stage1_out = torch.randn(B, X_DIM)
sec_cont, sec_type, sec_valid = sample_secondaries_ar(decoder, cond_cont, cond_cat, stage1_out, None, steps=2)
_, _, sec_valid = sample_secondaries_ar(decoder, cond_cont, cond_cat, stage1_out, None, steps=2)
assert sec_valid.all()
@@ -412,7 +412,7 @@ def test_sample_secondaries_ar_full_length_ignores_n_sec_pred_zero_rows():
cond_cont, cond_cat = _cond(B)
stage1_out = torch.randn(B, X_DIM)
n_sec_pred = torch.tensor([0, 0, 0])
sec_cont, sec_type, sec_valid = sample_secondaries_ar(
sec_cont, _, sec_valid = sample_secondaries_ar(
decoder, cond_cont, cond_cat, stage1_out, n_sec_pred, steps=2, full_length=True
)
assert not sec_valid.any()