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tests/pipelines/test_pp_doctranslation.py

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+import pytest
+
+from paddleocr import PPDocTranslation
+from ..testing_utils import TEST_DATA_DIR
+
+
+@pytest.fixture(scope="module")
+def pp_doctranslation_pipeline():
+    return PPDocTranslation()
+
+
+@pytest.mark.parametrize(
+    "image_path",
+    [
+        TEST_DATA_DIR / "book.jpg",
+    ],
+)
+def test_visual_predict(pp_doctranslation_pipeline, image_path):
+    result = pp_doctranslation_pipeline.visual_predict(str(image_path))
+
+    assert result is not None
+    assert isinstance(result, list)
+    assert len(result) == 1
+    res = result[0]
+    assert isinstance(res, dict)
+    assert res.keys() == {"layout_parsing_result"}
+    assert isinstance(res["layout_parsing_result"], dict)
+
+
+@pytest.mark.parametrize(
+    "params",
+    [
+        {"use_doc_orientation_classify": False},
+        {"use_doc_unwarping": False},
+        {"use_table_recognition": False},
+        {"use_formula_recognition": False},
+        {"layout_threshold": 0.88},
+        {"layout_threshold": [0.45, 0.4]},
+        {"layout_threshold": {0: 0.45, 2: 0.48, 7: 0.4}},
+        {"layout_nms": False},
+        {"layout_unclip_ratio": 1.1},
+        {"layout_unclip_ratio": [1.2, 1.5]},
+        {"layout_unclip_ratio": {0: 1.2, 2: 1.5, 7: 1.8}},
+        {"layout_merge_bboxes_mode": "large"},
+        {"layout_merge_bboxes_mode": {0: "large", 2: "small", 7: "union"}},
+        {"text_det_limit_side_len": 640, "text_det_limit_type": "min"},
+        {"text_det_thresh": 0.5},
+        {"text_det_box_thresh": 0.3},
+        {"text_det_unclip_ratio": 3.0},
+        {"text_rec_score_thresh": 0.5},
+    ],
+)
+def test_predict_params(
+    monkeypatch,
+    pp_doctranslation_pipeline,
+    params,
+):
+    def _dummy_visual_predict(input, **params):
+        yield {"layout_parsing_result": params}
+
+    monkeypatch.setattr(
+        pp_doctranslation_pipeline.paddlex_pipeline,
+        "visual_predict",
+        _dummy_visual_predict,
+    )
+
+    result = pp_doctranslation_pipeline.visual_predict(
+        input,
+        **params,
+    )
+
+    assert isinstance(result, list)
+    assert len(result) == 1
+    res = result[0]
+    res = res["layout_parsing_result"]
+    for k, v in params.items():
+        assert res[k] == v
+
+
+# TODO: Test constructor and other methods