Fix flake8 linting: Add spaces around arithmetic operators

Author: Hossein Kavianihamedani

tests/integration_tests/test_titan_fwd_vs_hf_fwd.py

@@ -213,7 +213,7 @@ def compare_logits(
                 hf_val = hf_logits_cpu[pos].item()
                 diff_val = abs_diff[pos].item()
                 print(
-                    f"  {i+1}. Position {pos}: titan={titan_val:.6f}, hf={hf_val:.6f}, diff={diff_val:.6f}"
+                    f"  {i + 1}. Position {pos}: titan={titan_val:.6f}, hf={hf_val:.6f}, diff={diff_val:.6f}"
                 )
 
     return metrics
@@ -242,12 +242,12 @@ def compare_probabilities(
             zip(titan_top_k.values, titan_top_k.indices)
         ):
             token = tokenizer.decode([token_id.item()])
-            print(f"  {i+1}. '{token}' (id={token_id.item()}): {prob.item():.6f}")
+            print(f"  {i + 1}. '{token}' (id={token_id.item()}): {prob.item():.6f}")
 
         print("\nHugging Face Top-K:")
         for i, (prob, token_id) in enumerate(zip(hf_top_k.values, hf_top_k.indices)):
             token = tokenizer.decode([token_id.item()])
-            print(f"  {i+1}. '{token}' (id={token_id.item()}): {prob.item():.6f}")
+            print(f"  {i + 1}. '{token}' (id={token_id.item()}): {prob.item():.6f}")
 
     # Calculate overlap in top-k predictions
     titan_top_tokens = set(titan_top_k.indices.tolist())

tests/unit_tests/datasets/test_hf.py

@@ -231,10 +231,10 @@ def test_shuffling_behavior(self, dataset_factory, small_dataset_file):
         # But should contain the same set of IDs
         assert set(first_epoch_ids) == set(
             range(SMALL_DATASET_SIZE)
-        ), f"First epoch samples should be (0-{SMALL_DATASET_SIZE-1}), got {first_epoch_ids}"
+        ), f"First epoch samples should be (0-{SMALL_DATASET_SIZE - 1}), got {first_epoch_ids}"
         assert set(second_epoch_ids) == set(
             range(SMALL_DATASET_SIZE)
-        ), f"Second epoch samples should be (0-{SMALL_DATASET_SIZE-1}), got {second_epoch_ids}"
+        ), f"Second epoch samples should be (0-{SMALL_DATASET_SIZE - 1}), got {second_epoch_ids}"
 
     def test_epoch_tracking(self, dataset_factory, small_dataset_file):
         """Test that epoch number is correctly tracked across dataset restarts."""