Add ruff, remove black, isort, flake8, pylint (#3092)

* black, isort, flake8 -> ruff

* remove unused

* add back needed import

* fix

tests/e2e/patched/lora_kernels/test_lora_kernel_patching.py

@@ -1,7 +1,5 @@
 """Integration tests for LoRA activation and attention kernels."""
 
-# pylint: disable=redefined-outer-name
-
 from pathlib import Path
 
 import pytest
@@ -88,7 +86,7 @@ def test_attention_patching_integration(model_name, attention_cls):
     cfg = DictDefault({"base_model": model_name})
 
     # Store the original implementation
-    original_forward = getattr(attention_cls, "forward")
+    original_forward = attention_cls.forward
 
     # Apply patch
     patch_self_attn_lora(cfg)
@@ -104,7 +102,7 @@ def test_attention_patching_integration(model_name, attention_cls):
     assert hasattr(attention_cls, "_original_forward")
 
     # Clean up
-    setattr(attention_cls, "forward", original_forward)
+    attention_cls.forward = original_forward
     delattr(attention_cls, "_original_forward")
 
 
@@ -379,9 +377,9 @@ def test_model_architecture(model_config):
 
     # Verify correct activation function
     layer = patched_model.model.model.layers[0]
-    assert (
-        layer.mlp.forward.__func__ is model_config["expected_activation"]
-    ), f"Wrong activation for {model_config['name']}"
+    assert layer.mlp.forward.__func__ is model_config["expected_activation"], (
+        f"Wrong activation for {model_config['name']}"
+    )
 
     # Test forward pass
     inputs = get_test_inputs(model)
@@ -390,12 +388,11 @@ def test_model_architecture(model_config):
         patched_output = patched_model(inputs).logits
 
     # Check outputs match
-    assert torch.allclose(
-        original_output, patched_output, rtol=1e-4
-    ), f"Outputs don't match for {model_config['name']}"
+    assert torch.allclose(original_output, patched_output, rtol=1e-4), (
+        f"Outputs don't match for {model_config['name']}"
+    )
 
 
-# pylint: disable=duplicate-code
 def test_kernel_training_integration(temp_dir):
     """Test model loading with kernel patches enabled."""
     from axolotl.cli.utils import load_model_and_tokenizer
@@ -563,15 +560,13 @@ def test_kernel_training_integration_dropout_non_zero(temp_dir):
     model_loader = ModelLoader(cfg, tokenizer)
 
     # Apply patch
-    model_loader.patch_manager._apply_self_attention_lora_patch()  # pylint: disable=protected-access
+    model_loader.patch_manager._apply_self_attention_lora_patch()
 
     # Verify patch was not applied
     assert attention_cls.forward == original_forward_method
 
     # Apply apply_lora_kernel_patches
-    model_loader.patch_manager._apply_lora_kernel_patch(  # pylint: disable=protected-access
-        model
-    )
+    model_loader.patch_manager._apply_lora_kernel_patch(model)
 
     # Verify patch was not applied
     layers = get_layers(model)