add test for cls_postprocess (#12534)

Author: GreatV

.github/workflows/tests.yaml

@@ -27,4 +27,4 @@ jobs:
         pip install -e .
     - name: Test with pytest
       run: |
-        pytest tests/
+        pytest --verbose tests/

tests/test_cls_postprocess.py

@@ -0,0 +1,63 @@
+import os
+import sys
+import pytest
+import paddle
+import numpy as np
+
+current_dir = os.path.dirname(os.path.abspath(__file__))
+sys.path.append(os.path.abspath(os.path.join(current_dir, "..")))
+
+from ppocr.postprocess.cls_postprocess import ClsPostProcess
+
+
+# Fixtures for common test inputs
+@pytest.fixture
+def preds_tensor():
+    return paddle.to_tensor(np.array([[0.1, 0.7, 0.2], [0.3, 0.3, 0.4]]))
+
+
+@pytest.fixture
+def label_list():
+    return {0: "class0", 1: "class1", 2: "class2"}
+
+
+# Parameterize tests to cover multiple scenarios
+@pytest.mark.parametrize(
+    "label_list, expected",
+    [
+        ({0: "class0", 1: "class1", 2: "class2"}, [("class1", 0.7), ("class2", 0.4)]),
+        (None, [(1, 0.7), (2, 0.4)]),
+    ],
+)
+def test_cls_post_process_with_and_without_label_list(
+    preds_tensor, label_list, expected
+):
+    post_process = ClsPostProcess(label_list=label_list)
+    result = post_process(preds_tensor)
+    assert isinstance(result, list), "Result should be a list"
+    assert result == expected, f"Expected {expected}, got {result}"
+
+
+# Test with a key in the prediction dictionary
+def test_cls_post_process_with_key(preds_tensor, label_list):
+    preds_dict = {"key": preds_tensor}
+    post_process = ClsPostProcess(label_list=label_list, key="key")
+    result = post_process(preds_dict)
+    expected = [("class1", 0.7), ("class2", 0.4)]
+    assert isinstance(result, list), "Result should be a list"
+    assert result == expected, f"Expected {expected}, got {result}"
+
+
+# Test with label input
+def test_cls_post_process_with_label(preds_tensor, label_list):
+    labels = [2, 0]
+    post_process = ClsPostProcess(label_list=label_list)
+    result, label_result = post_process(preds_tensor, labels)
+    expected_result = [("class1", 0.7), ("class2", 0.4)]
+    expected_label_result = [("class2", 1.0), ("class0", 1.0)]
+    assert isinstance(result, list), "Result should be a list"
+    assert result == expected_result, f"Expected {expected_result}, got {result}"
+    assert isinstance(label_result, list), "Label result should be a list"
+    assert (
+        label_result == expected_label_result
+    ), f"Expected {expected_label_result}, got {label_result}"