chore: bump uv.lock and fix ruff 0.16 default-rule lint findings

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

tests/test_phase2.py

@@ -20,7 +20,6 @@ from giant.model.schedule import (
 )
 from giant.sample import sample_secondaries
 
-
 # ── helpers ──────────────────────────────────────────────────────────────────
 
 
@@ -341,7 +340,7 @@ def test_encode_secondaries_energy_conservation():
 def test_encode_secondaries_stick_logits_match_naive_reference():
     """Cumsum-based remaining-budget computation must match a naive
     per-row, per-slot Python reference (no cumsum) within float tolerance."""
-    from giant.data.transforms import encode_secondaries, _EPS, _STICK_LOGIT_CLIP
+    from giant.data.transforms import _EPS, _STICK_LOGIT_CLIP, encode_secondaries
 
     rng = np.random.default_rng(11)
     N = 25
@@ -569,7 +568,7 @@ def test_decode_secondaries_degenerate_row_falls_back_to_even_split():
     e_sec = np.array([0.0, 4.0, 9.0, 30.0], dtype=np.float32)
     pre_dir = np.tile([0.0, 0.0, 1.0], (N, 1)).astype(np.float32)
 
-    sec_E, _sec_dir, _mass, _charge, sec_valid = decode_secondaries(sec_cont, n_sec, e_sec, pre_dir)
+    sec_E, _sec_dir, _mass, _charge, _ = decode_secondaries(sec_cont, n_sec, e_sec, pre_dir)
 
     for i, k in enumerate(n_sec):
         if k == 0:
@@ -593,7 +592,7 @@ def test_decode_secondaries_rescale_preserves_relative_shares():
     n_sec = np.array([4])
     pre_dir = np.array([[0.0, 0.0, 1.0]], dtype=np.float32)
 
-    sec_E_small, _, _, _, sec_valid = decode_secondaries(sec_cont, n_sec, np.array([5.0], dtype=np.float32), pre_dir)
+    sec_E_small, _, _, _, _ = decode_secondaries(sec_cont, n_sec, np.array([5.0], dtype=np.float32), pre_dir)
     sec_E_large, _, _, _, _ = decode_secondaries(sec_cont, n_sec, np.array([50.0], dtype=np.float32), pre_dir)
 
     ratio_small = sec_E_small[0, :4] / sec_E_small[0, 0]