Fix remaining Ruff UP complaints

src/accelerate/test_utils/scripts/external_deps/test_metrics.py

@@ -36,7 +36,7 @@
 
 class ListHandler(logging.Handler):
     def __init__(self, *args, **kwargs):
-        super(ListHandler, self).__init__(*args, **kwargs)
+        super().__init__(*args, **kwargs)
         self.logs = []
 
     def emit(self, record):
@@ -161,8 +161,7 @@ def __len__(self):
             return len(self.data)
 
         def __iter__(self):
-            for element in self.data:
-                yield element
+            yield from self.data
 
     iterable_dataset = DummyIterableDataset([n for n in range(30)])
     dataloader = DataLoader(iterable_dataset, batch_size=4)
@@ -194,8 +193,7 @@ def __len__(self):
             return len(self.data)
 
         def __iter__(self):
-            for element in self.data:
-                yield element
+            yield from self.data
 
     iterable_dataset = DummyIterableDataset(torch.as_tensor(range(30)))
     dataloader = DataLoader(iterable_dataset, batch_size=4)

src/accelerate/test_utils/scripts/test_distributed_data_loop.py

@@ -31,8 +31,7 @@ def __init__(self, data):
         self.data = data
 
     def __iter__(self):
-        for element in self.data:
-            yield element
+        yield from self.data
 
 
 def create_accelerator(even_batches=True):

src/accelerate/utils/megatron_lm.py

@@ -247,8 +247,7 @@ def build_pretraining_data_loader(self, dataset, consumed_samples):
     def build_train_valid_test_data_iterators(self):
         def cyclic_iter(iter):
             while True:
-                for x in iter:
-                    yield x
+                yield from iter
 
         args = get_args()
 
@@ -926,7 +925,7 @@ class MegatronEngine(torch.nn.Module):
     """
 
     def __init__(self, accelerator, model, optimizer, scheduler):
-        super(MegatronEngine, self).__init__()
+        super().__init__()
         self.module = model
         self.base_model = model[0]
         self.optimizer = optimizer

src/accelerate/utils/modeling.py

@@ -472,8 +472,7 @@ def named_module_tensors(
             Whether or not to remove the non persistent buffer from the buffers. Useful only when include_buffers =
             True
     """
-    for named_parameter in module.named_parameters(recurse=recurse):
-        yield named_parameter
+    yield from module.named_parameters(recurse=recurse)
 
     if include_buffers:
         non_persistent_buffers = set()