Update quality tooling for formatting (#21480)

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

tests/models/flava/test_image_processing_flava.py

@@ -160,7 +160,6 @@ class FlavaImageProcessingTester(unittest.TestCase):
 @require_torch
 @require_vision
 class FlavaImageProcessingTest(ImageProcessingSavingTestMixin, unittest.TestCase):
-
     image_processing_class = FlavaImageProcessor if is_vision_available() else None
     maxDiff = None
 

tests/models/flava/test_modeling_flava.py

@@ -22,8 +22,8 @@ import tempfile
 import unittest
 
 import numpy as np
-
 import requests
+
 from transformers import (
     FlavaConfig,
     FlavaImageCodebookConfig,
@@ -435,7 +435,6 @@ class FlavaTextModelTester:
 
 @require_torch
 class FlavaTextModelTest(ModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (FlavaTextModel,) if is_torch_available() else ()
     test_pruning = False
     test_head_masking = False
@@ -569,7 +568,6 @@ class FlavaMultimodalModelTester:
 
 @require_torch
 class FlavaMultimodalModelTest(ModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (FlavaMultimodalModel,) if is_torch_available() else ()
     test_pruning = False
     test_head_masking = False
@@ -667,7 +665,6 @@ class FlavaImageCodebookTester:
 
 @require_torch
 class FlavaImageCodebookTest(ModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (FlavaImageCodebook,) if is_torch_available() else ()
     test_pruning = False
     test_head_masking = False
@@ -756,7 +753,6 @@ class FlavaModelTester:
         initializer_range=0.02,
         layer_norm_eps=1e-12,
     ):
-
         if text_kwargs is None:
             text_kwargs = {}
         if image_kwargs is None: