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

scripts/generate_logits.py

 import random
 
 import torch
+from huggingface_hub import HfApi
 
 from diffusers import UNet2DModel
-from huggingface_hub import HfApi
 
 
 api = HfApi()

setup.py

@@ -80,10 +80,9 @@ from setuptools import find_packages, setup
 _deps = [
     "Pillow",  # keep the PIL.Image.Resampling deprecation away
     "accelerate>=0.11.0",
-    "black==22.12",
+    "black~=23.1",
     "datasets",
     "filelock",
-    "flake8>=3.8.3",
     "flax>=0.4.1",
     "hf-doc-builder>=0.3.0",
     "huggingface-hub>=0.10.0",
@@ -99,6 +98,7 @@ _deps = [
     "pytest",
     "pytest-timeout",
     "pytest-xdist",
+    "ruff>=0.0.241",
     "safetensors",
     "sentencepiece>=0.1.91,!=0.1.92",
     "scipy",
@@ -178,7 +178,7 @@ extras = {}
 
 
 extras = {}
-extras["quality"] = deps_list("black", "isort", "flake8", "hf-doc-builder")
+extras["quality"] = deps_list("black", "isort", "ruff", "hf-doc-builder")
 extras["docs"] = deps_list("hf-doc-builder")
 extras["training"] = deps_list("accelerate", "datasets", "tensorboard", "Jinja2")
 extras["test"] = deps_list(

src/diffusers/configuration_utils.py

@@ -26,7 +26,6 @@ from pathlib import PosixPath
 from typing import Any, Dict, Tuple, Union
 
 import numpy as np
-
 from huggingface_hub import hf_hub_download
 from huggingface_hub.utils import EntryNotFoundError, RepositoryNotFoundError, RevisionNotFoundError
 from requests import HTTPError

src/diffusers/dependency_versions_table.py

@@ -4,10 +4,9 @@
 deps = {
     "Pillow": "Pillow",
     "accelerate": "accelerate>=0.11.0",
-    "black": "black==22.12",
+    "black": "black~=23.1",
     "datasets": "datasets",
     "filelock": "filelock",
-    "flake8": "flake8>=3.8.3",
     "flax": "flax>=0.4.1",
     "hf-doc-builder": "hf-doc-builder>=0.3.0",
     "huggingface-hub": "huggingface-hub>=0.10.0",
@@ -23,6 +22,7 @@ deps = {
     "pytest": "pytest",
     "pytest-timeout": "pytest-timeout",
     "pytest-xdist": "pytest-xdist",
+    "ruff": "ruff>=0.0.241",
     "safetensors": "safetensors",
     "sentencepiece": "sentencepiece>=0.1.91,!=0.1.92",
     "scipy": "scipy",

src/diffusers/experimental/rl/value_guided_sampling.py

@@ -14,7 +14,6 @@
 
 import numpy as np
 import torch
-
 import tqdm
 
 from ...models.unet_1d import UNet1DModel
@@ -57,13 +56,13 @@ class ValueGuidedRLPipeline(DiffusionPipeline):
         for key in self.data.keys():
             try:
                 self.means[key] = self.data[key].mean()
-            except:
+            except:  # noqa: E722
                 pass
         self.stds = dict()
         for key in self.data.keys():
             try:
                 self.stds[key] = self.data[key].std()
-            except:
+            except:  # noqa: E722
                 pass
         self.state_dim = env.observation_space.shape[0]
         self.action_dim = env.action_space.shape[0]

src/diffusers/models/modeling_pytorch_flax_utils.py

@@ -16,10 +16,9 @@
 
 from pickle import UnpicklingError
 
-import numpy as np
-
 import jax
 import jax.numpy as jnp
+import numpy as np
 from flax.serialization import from_bytes
 from flax.traverse_util import flatten_dict
 

src/diffusers/models/modeling_utils.py

@@ -20,11 +20,10 @@ from functools import partial
 from typing import Callable, List, Optional, Tuple, Union
 
 import torch
-from torch import Tensor, device
-
 from huggingface_hub import hf_hub_download
 from huggingface_hub.utils import EntryNotFoundError, RepositoryNotFoundError, RevisionNotFoundError
 from requests import HTTPError
+from torch import Tensor, device
 
 from .. import __version__
 from ..utils import (
@@ -500,7 +499,7 @@ class ModelMixin(torch.nn.Module):
                         subfolder=subfolder,
                         user_agent=user_agent,
                     )
-                except:
+                except:  # noqa: E722
                     pass
             if model_file is None:
                 model_file = _get_model_file(

src/diffusers/pipelines/alt_diffusion/__init__.py

@@ -2,7 +2,6 @@ from dataclasses import dataclass
 from typing import List, Optional, Union
 
 import numpy as np
-
 import PIL
 from PIL import Image
 

src/diffusers/pipelines/alt_diffusion/modeling_roberta_series.py

@@ -3,7 +3,6 @@ from typing import Optional, Tuple
 
 import torch
 from torch import nn
-
 from transformers import RobertaPreTrainedModel, XLMRobertaConfig, XLMRobertaModel
 from transformers.utils import ModelOutput
 

src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion.py

@@ -16,11 +16,11 @@ import inspect
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import torch
-
-from diffusers.utils import is_accelerate_available
 from packaging import version
 from transformers import CLIPFeatureExtractor, XLMRobertaTokenizer
 
+from diffusers.utils import is_accelerate_available
+
 from ...configuration_utils import FrozenDict
 from ...models import AutoencoderKL, UNet2DConditionModel
 from ...schedulers import KarrasDiffusionSchedulers

src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion_img2img.py

@@ -16,13 +16,13 @@ import inspect
 from typing import Callable, List, Optional, Union
 
 import numpy as np
-import torch
-
 import PIL
-from diffusers.utils import is_accelerate_available
+import torch
 from packaging import version
 from transformers import CLIPFeatureExtractor, XLMRobertaTokenizer
 
+from diffusers.utils import is_accelerate_available
+
 from ...configuration_utils import FrozenDict
 from ...models import AutoencoderKL, UNet2DConditionModel
 from ...schedulers import KarrasDiffusionSchedulers

src/diffusers/pipelines/audio_diffusion/__init__.py

-# flake8: noqa
 from .mel import Mel
 from .pipeline_audio_diffusion import AudioDiffusionPipeline

src/diffusers/pipelines/audio_diffusion/pipeline_audio_diffusion.py

@@ -18,7 +18,6 @@ from typing import List, Tuple, Union
 
 import numpy as np
 import torch
-
 from PIL import Image
 
 from ...models import AutoencoderKL, UNet2DConditionModel

src/diffusers/pipelines/dance_diffusion/__init__.py

-# flake8: noqa
 from .pipeline_dance_diffusion import DanceDiffusionPipeline

src/diffusers/pipelines/ddim/__init__.py

-# flake8: noqa
 from .pipeline_ddim import DDIMPipeline

src/diffusers/pipelines/ddpm/__init__.py

-# flake8: noqa
 from .pipeline_ddpm import DDPMPipeline

src/diffusers/pipelines/latent_diffusion/__init__.py

-# flake8: noqa
 from ...utils import is_transformers_available
 from .pipeline_latent_diffusion_superresolution import LDMSuperResolutionPipeline
 

src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py

@@ -18,7 +18,6 @@ from typing import List, Optional, Tuple, Union
 import torch
 import torch.nn as nn
 import torch.utils.checkpoint
-
 from transformers import PretrainedConfig, PreTrainedModel, PreTrainedTokenizer
 from transformers.activations import ACT2FN
 from transformers.modeling_outputs import BaseModelOutput

src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.py

@@ -2,11 +2,10 @@ import inspect
 from typing import List, Optional, Tuple, Union
 
 import numpy as np
+import PIL
 import torch
 import torch.utils.checkpoint
 
-import PIL
-
 from ...models import UNet2DModel, VQModel
 from ...schedulers import (
     DDIMScheduler,

src/diffusers/pipelines/latent_diffusion_uncond/__init__.py

-# flake8: noqa
 from .pipeline_latent_diffusion_uncond import LDMPipeline