[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

scripts/build_prequant_checkpoint.py

@@ -86,7 +86,9 @@ def main(argv = None) -> int:
     quantize_(
         transformer,
         _make_quant_config(scheme),
-        filter_fn = make_filter_fn(args.min_features, exclude_name_tokens = exclude_tokens_for_scheme(scheme)),
+        filter_fn = make_filter_fn(
+            args.min_features, exclude_name_tokens = exclude_tokens_for_scheme(scheme)
+        ),
     )
 
     # Move the state dict to CPU for a portable, GPU-free artifact.

studio/backend/core/inference/diffusion_transformer_quant.py

@@ -72,6 +72,7 @@ def exclude_tokens_for_scheme(scheme: str) -> tuple[str, ...]:
     M=1 projections as int8 and crashes at the first denoise step on Flux / Qwen."""
     return _INT8_EXCLUDE_NAME_TOKENS if scheme == TQ_INT8 else ()
 
+
 # Per-architecture preference order for ``auto`` -- best (fastest, in-bar) first, with
 # the lower-precision schemes listed as fallbacks for that arch tier. On Blackwell, fp8
 # leads: measured on a B200, plain fp8 dynamic is both faster AND more accurate than the