Update test_v2.0/fake_compression_submission/create_fake_submission.py

test_v2.0/fake_compression_submission/create_fake_submission.py

@@ -14,7 +14,6 @@ def generate_fake_submission(num_samples=450, shape=(3, 32, 32), k=500):
     submission_dir = "temp_submission"
     os.makedirs(submission_dir, exist_ok=True)
 
-    # 1) A minimal README.txt with metadata
     readme_content = (
         '{\n'
         '  "method": "example_method",\n'
@@ -28,7 +27,7 @@ def generate_fake_submission(num_samples=450, shape=(3, 32, 32), k=500):
     with open(os.path.join(submission_dir, "README.txt"), "w") as f:
         f.write(readme_content)
 
-    # 2) For each of the 500 samples, create random (T,H,W,500) arrays
+    # For each of the 500 samples, create random (T,H,W,500) arrays
     for sample_id in range(num_samples):
         topk_indices = np.random.randint(0, 64000, size=(shape[0], shape[1], shape[2], k), dtype=np.int32)
         topk_values = np.random.randn(shape[0], shape[1], shape[2], k).astype(np.float32)