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chore: import upstream snapshot with attribution
2026-07-13 13:37:14 +08:00

39 lines
1.4 KiB
Python

# Copyright (c) 2023 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 unittest
from paddlenlp.taskflow import Taskflow
class TestSentimentAnalysis(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.senta = Taskflow(
task="sentiment_analysis",
model="__internal_testing__/tiny-random-skep",
)
def test_single(self):
input_text = ["蛋糕味道不错"]
output_text = self.senta(input_text)
self.assertTrue(len(output_text) == 1)
self.assertIsInstance(output_text[0], dict)
def test_batch(self):
input_texts = ["蛋糕味道不错", "服务很好", "环境很差", "味道很香"]
output_texts = self.senta(input_texts)
self.assertTrue(len(output_texts) == len(input_texts))
self.assertIsInstance(output_texts[0], dict)