Close file objects manually

examples/multimodal/evaluation/evaluate_mathvista.py

@@ -1,3 +1,5 @@
+# Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+
 import argparse
 import json
 import re
@@ -73,7 +75,8 @@ def extract_answer(text):
 
 def compute_mathvista_accuracy(result_file):
     """Compute MathVista accuracy."""
-    merged_results = json.load(open(result_file))
+    with open(result_file, "r") as f:
+        merged_results = json.load(f)
 
     vqa = VQAEval(vqa=None, vqaRes=None)
     acc = 0

examples/multimodal/evaluation/evaluate_ocrbench.py

@@ -1,3 +1,5 @@
+# Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+
 import argparse
 import json
 
@@ -32,7 +34,8 @@ def merge_input_files(input_path):
 
 def compute_ocrbench_score(result_file):
     """Compute OCRBench score."""
-    merged_results = json.load(open(result_file))
+    with open(result_file, "r") as f:
+        merged_results = json.load(f)
 
     # OCRBench score calculation is adopted from https://github.com/Yuliang-Liu/MultimodalOCR/blob/1b7713f44c91f30f64efb6d3e494c416861ef15f/example.py#L1
     # MIT License. Copyright (c) 2023 Yuliang Liu

examples/multimodal/evaluation/evaluate_video_mvbench.py

@@ -1,3 +1,5 @@
+# Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+
 import argparse
 import json
 
@@ -98,7 +100,8 @@ def combine_all_res(acc_dict):
 def mvbench_eval(input_path):
     result_file_path = merge_input_files(input_path)
 
-    merged_results = json.load(open(result_file_path))
+    with open(result_file_path, "r") as f:
+        merged_results = json.load(f)
     acc_dict = create_result_dict(merged_results)
 
     return combine_all_res(acc_dict)

examples/multimodal/evaluation/evaluate_video_phys_game_bench.py

@@ -1,3 +1,5 @@
+# Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+
 import argparse
 import json
 
@@ -83,7 +85,8 @@ def compute_all_acc(result_list):
 def phys_game_bench_eval(input_path):
     result_file_path = merge_input_files(input_path)
 
-    merged_results = json.load(open(result_file_path))
+    with open(result_file_path, "r") as f:
+        merged_results = json.load(f)
 
     return compute_all_acc(merged_results)
 

examples/multimodal/evaluation/evaluate_vqav2.py

@@ -1,3 +1,5 @@
+# Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+
 import argparse
 import json
 from typing import List
@@ -93,7 +95,8 @@ def is_number(n: str):
 
 def compute_vqa_accuracy(result_file, task):
     """Compute VQA accuracy."""
-    merged_results = json.load(open(result_file))
+    with open(result_file, "r") as f:
+        merged_results = json.load(f)
 
     vqa = VQAEval(vqa=None, vqaRes=None)
     all_acc = []