From 65d33c85bbe2589f5196258c01c4f452c6583c88 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Thu, 9 Jul 2026 09:25:49 +0000 Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- studio/backend/tests/test_diffusion_precision.py | 8 ++++++-- studio/backend/tests/test_video_backend.py | 4 +++- 2 files changed, 9 insertions(+), 3 deletions(-) diff --git a/studio/backend/tests/test_diffusion_precision.py b/studio/backend/tests/test_diffusion_precision.py index 548894fa6f..7a64139618 100644 --- a/studio/backend/tests/test_diffusion_precision.py +++ b/studio/backend/tests/test_diffusion_precision.py @@ -265,9 +265,13 @@ def test_quantize_explicit_torchao_probes_kernel(monkeypatch): # encoder yet the kernel is broken, report dense (None) instead of crashing on the first forward. _stub_torch(monkeypatch, cc = (10, 0)) monkeypatch.setattr(dp, "_te_scheme_probe", lambda scheme, device: False) - monkeypatch.setattr(dp, "_cast_fp8_dynamic", lambda *a: pytest.fail("must not cast on probe fail")) + monkeypatch.setattr( + dp, "_cast_fp8_dynamic", lambda *a: pytest.fail("must not cast on probe fail") + ) monkeypatch.setattr(dp, "_cast_nvfp4", lambda *a: pytest.fail("must not cast on probe fail")) - monkeypatch.setattr(dp, "_cast_int8_selective", lambda *a: pytest.fail("must not cast on probe fail")) + monkeypatch.setattr( + dp, "_cast_int8_selective", lambda *a: pytest.fail("must not cast on probe fail") + ) pipe = types.SimpleNamespace(text_encoder = object()) assert quantize_text_encoders(pipe, _target(), mode = "fp8_dynamic") is None assert quantize_text_encoders(pipe, _target(), mode = "nvfp4") is None diff --git a/studio/backend/tests/test_video_backend.py b/studio/backend/tests/test_video_backend.py index 7008834dc6..5ed4be9676 100644 --- a/studio/backend/tests/test_video_backend.py +++ b/studio/backend/tests/test_video_backend.py @@ -1138,7 +1138,9 @@ def test_video_speed_off_suppresses_auto_companion_quant(fake_runtime, monkeypat te_modes: list = [] vae_modes: list = [] monkeypatch.setattr( - video_mod, "quantize_text_encoders", lambda pipe, target, *, mode, **kw: te_modes.append(mode) + video_mod, + "quantize_text_encoders", + lambda pipe, target, *, mode, **kw: te_modes.append(mode), ) monkeypatch.setattr( video_mod, "quantize_vae", lambda pipe, target, *, mode, **kw: vae_modes.append(mode)