Replace flake8 with ruff and update black (#2279)

* before running make style

* remove left overs from flake8

* finish

* make fix-copies

* final fix

* more fixes

src/diffusers/pipelines/vq_diffusion/pipeline_vq_diffusion.py

@@ -15,7 +15,6 @@
 from typing import Callable, List, Optional, Tuple, Union
 
 import torch
-
 from transformers import CLIPTextModel, CLIPTokenizer
 
 from ...configuration_utils import ConfigMixin, register_to_config

src/diffusers/schedulers/scheduling_lms_discrete.py

@@ -17,7 +17,6 @@ from typing import List, Optional, Tuple, Union
 
 import numpy as np
 import torch
-
 from scipy import integrate
 
 from ..configuration_utils import ConfigMixin, register_to_config

src/diffusers/utils/dummy_flax_and_transformers_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-
 from ..utils import DummyObject, requires_backends
 
 

src/diffusers/utils/dummy_flax_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-
 from ..utils import DummyObject, requires_backends
 
 

src/diffusers/utils/dummy_onnx_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-
 from ..utils import DummyObject, requires_backends
 
 

src/diffusers/utils/dummy_pt_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-
 from ..utils import DummyObject, requires_backends
 
 

src/diffusers/utils/dummy_torch_and_librosa_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-
 from ..utils import DummyObject, requires_backends
 
 

src/diffusers/utils/dummy_torch_and_scipy_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-
 from ..utils import DummyObject, requires_backends
 
 

src/diffusers/utils/dummy_torch_and_transformers_and_k_diffusion_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-
 from ..utils import DummyObject, requires_backends
 
 

src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-
 from ..utils import DummyObject, requires_backends
 
 

src/diffusers/utils/dummy_torch_and_transformers_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-
 from ..utils import DummyObject, requires_backends
 
 

src/diffusers/utils/logging.py

@@ -18,14 +18,16 @@ import logging
 import os
 import sys
 import threading
-from logging import CRITICAL  # NOQA
-from logging import DEBUG  # NOQA
-from logging import ERROR  # NOQA
-from logging import FATAL  # NOQA
-from logging import INFO  # NOQA
-from logging import NOTSET  # NOQA
-from logging import WARN  # NOQA
-from logging import WARNING  # NOQA
+from logging import (
+    CRITICAL,  # NOQA
+    DEBUG,  # NOQA
+    ERROR,  # NOQA
+    FATAL,  # NOQA
+    INFO,  # NOQA
+    NOTSET,  # NOQA
+    WARN,  # NOQA
+    WARNING,  # NOQA
+)
 from typing import Optional
 
 from tqdm import auto as tqdm_lib

src/diffusers/utils/testing_utils.py

@@ -11,7 +11,6 @@ from pathlib import Path
 from typing import Optional, Union
 
 import numpy as np
-
 import PIL.Image
 import PIL.ImageOps
 import requests

tests/models/test_models_unet_2d_condition.py

@@ -18,6 +18,7 @@ import tempfile
 import unittest
 
 import torch
+from parameterized import parameterized
 
 from diffusers import UNet2DConditionModel
 from diffusers.models.cross_attention import CrossAttnProcessor, LoRACrossAttnProcessor
@@ -31,7 +32,6 @@ from diffusers.utils import (
     torch_device,
 )
 from diffusers.utils.import_utils import is_xformers_available
-from parameterized import parameterized
 
 from ..test_modeling_common import ModelTesterMixin
 

tests/models/test_models_unet_2d_flax.py

 import gc
 import unittest
 
+from parameterized import parameterized
+
 from diffusers import FlaxUNet2DConditionModel
 from diffusers.utils import is_flax_available
 from diffusers.utils.testing_utils import load_hf_numpy, require_flax, slow
-from parameterized import parameterized
 
 
 if is_flax_available():

tests/models/test_models_vae.py

@@ -17,11 +17,11 @@ import gc
 import unittest
 
 import torch
+from parameterized import parameterized
 
 from diffusers import AutoencoderKL
 from diffusers.models import ModelMixin
 from diffusers.utils import floats_tensor, load_hf_numpy, require_torch_gpu, slow, torch_all_close, torch_device
-from parameterized import parameterized
 
 from ..test_modeling_common import ModelTesterMixin
 

tests/pipelines/altdiffusion/test_alt_diffusion.py

@@ -18,6 +18,7 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel, XLMRobertaTokenizer
 
 from diffusers import AltDiffusionPipeline, AutoencoderKL, DDIMScheduler, PNDMScheduler, UNet2DConditionModel
 from diffusers.pipelines.alt_diffusion.modeling_roberta_series import (
@@ -26,7 +27,6 @@ from diffusers.pipelines.alt_diffusion.modeling_roberta_series import (
 )
 from diffusers.utils import slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from transformers import CLIPTextConfig, CLIPTextModel, XLMRobertaTokenizer
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/altdiffusion/test_alt_diffusion_img2img.py

@@ -19,6 +19,7 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import XLMRobertaTokenizer
 
 from diffusers import AltDiffusionImg2ImgPipeline, AutoencoderKL, PNDMScheduler, UNet2DConditionModel
 from diffusers.pipelines.alt_diffusion.modeling_roberta_series import (
@@ -27,7 +28,6 @@ from diffusers.pipelines.alt_diffusion.modeling_roberta_series import (
 )
 from diffusers.utils import floats_tensor, load_image, load_numpy, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from transformers import XLMRobertaTokenizer
 
 
 torch.backends.cuda.matmul.allow_tf32 = False

tests/pipelines/latent_diffusion/test_latent_diffusion.py

@@ -18,10 +18,10 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import AutoencoderKL, DDIMScheduler, LDMTextToImagePipeline, UNet2DConditionModel
 from diffusers.utils.testing_utils import load_numpy, nightly, require_torch_gpu, slow, torch_device
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/latent_diffusion/test_latent_diffusion_uncond.py

@@ -17,10 +17,10 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel
 
 from diffusers import DDIMScheduler, LDMPipeline, UNet2DModel, VQModel
 from diffusers.utils.testing_utils import require_torch, slow, torch_device
-from transformers import CLIPTextConfig, CLIPTextModel
 
 
 torch.backends.cuda.matmul.allow_tf32 = False