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

51 lines
1.4 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.
from pathlib import Path
TEST_DATA_DIR = Path(__file__).parent / "test_files"
def check_simple_inference_result(result, *, expected_length=1):
assert result is not None
assert isinstance(result, list)
assert len(result) == expected_length
for res in result:
assert isinstance(res, dict)
def check_wrapper_simple_inference_param_forwarding(
monkeypatch,
wrapper,
wrapped_obj_attr_name,
input,
params,
):
def _dummy_predict(input, **params):
yield params
monkeypatch.setattr(
getattr(wrapper, wrapped_obj_attr_name), "predict", _dummy_predict
)
result = getattr(wrapper, "predict")(
input,
**params,
)
assert isinstance(result, list)
assert len(result) == 1
for k, v in params.items():
assert result[0][k] == v