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chore: import upstream snapshot with attribution
2026-07-13 11:59:26 +08:00

60 lines
1.7 KiB
Python

# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest
pytestmark = pytest.mark.py38_incompatible
from paddleocr import DocUnderstanding
from ..testing_utils import (
TEST_DATA_DIR,
check_simple_inference_result,
check_wrapper_simple_inference_param_forwarding,
)
@pytest.fixture(scope="module")
def ocr_engine() -> DocUnderstanding:
return DocUnderstanding()
@pytest.mark.resource_intensive
@pytest.mark.parametrize(
"input",
[
{
"image": str(TEST_DATA_DIR / "medal_table.png"),
"query": "识别这份表格的内容",
},
{
"image": str(TEST_DATA_DIR / "table.jpg"),
"query": "识别这份表格的内容",
},
],
)
def test_predict(ocr_engine: DocUnderstanding, input: dict) -> None:
"""
Test PaddleOCR's doc understanding functionality.
Args:
ocr_engine: An instance of `DocUnderstanding`.
input: Input dict to be processed.
"""
result = ocr_engine.predict(input)
check_simple_inference_result(result)
res = result[0]
assert res["result"] is not None
assert isinstance(res["result"], str)