wehub-resource-sync
54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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from paddlenlp.taskflow import Taskflow
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class TestZeroShotTextClassificationTask(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.schema = ["这是一条差评", "这是一条好评"]
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cls.taskflow = Taskflow(
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task="zero_shot_text_classification",
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model="__internal_testing__/tiny-random-utc",
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schema=cls.schema,
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)
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def test_single(self):
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output = self.taskflow("房间干净明亮，非常不错")
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self.assertEqual(len(output), 1)
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self.assertIn("text_a", output[0])
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self.assertIn("predictions", output[0])
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for pred in output[0]["predictions"]:
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self.assertIn(pred["label"], self.schema)
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def test_batch(self):
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outputs = self.taskflow(["房间干净明亮，非常不错", "这馆子不咋地"])
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self.assertEqual(len(outputs), 2)
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for output in outputs:
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self.assertIn("text_a", output)
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self.assertIn("predictions", output)
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for pred in output["predictions"]:
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self.assertIn(pred["label"], self.schema)
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def test_pair(self):
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output = self.taskflow([["测试句子1", "句子2"]])
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self.assertEqual(len(output), 1)
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self.assertIn("text_a", output[0])
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self.assertIn("predictions", output[0])
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for pred in output[0]["predictions"]:
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self.assertIn(pred["label"], self.schema)
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