From cc6d7c96a6d4a837bfaa2cd7cefea83dca4efc2f Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 6 Jul 2026 11:04:51 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 studio/backend/core/training/diffusion_train_common.py | 1 -
 studio/backend/tests/test_diffusion_base_precision.py  | 4 +++-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/studio/backend/core/training/diffusion_train_common.py b/studio/backend/core/training/diffusion_train_common.py
index 9d1dfc3475..dbbcda32d7 100644
--- a/studio/backend/core/training/diffusion_train_common.py
+++ b/studio/backend/core/training/diffusion_train_common.py
@@ -264,7 +264,6 @@ def bf16_unsupported_reason(resolved_family: str) -> Optional[str]:
         return None
     try:
         import torch
-
         if torch.cuda.is_available() and not torch.cuda.is_bf16_supported():
             return (
                 "This trainer requires a bfloat16-capable GPU (Ampere or newer); this CUDA "
diff --git a/studio/backend/tests/test_diffusion_base_precision.py b/studio/backend/tests/test_diffusion_base_precision.py
index 88f83ce307..c6cf0ec33c 100644
--- a/studio/backend/tests/test_diffusion_base_precision.py
+++ b/studio/backend/tests/test_diffusion_base_precision.py
@@ -81,7 +81,9 @@ def test_base_precision_denies_fp8_for_corrupted_family():
     # The deny is fp8-specific: int8 (per-token, unaffected) and the other dense modes stay
     # allowed for the same Qwen base.
     for mode in ("nf4", "bf16", "int8", "auto"):
-        norm = _cfg(base_model = _QWEN_DENSE, base_precision = mode, mixed_precision = "bf16").normalized()
+        norm = _cfg(
+            base_model = _QWEN_DENSE, base_precision = mode, mixed_precision = "bf16"
+        ).normalized()
         assert norm.resolved_family == "qwen-image"
         assert norm.base_precision == mode