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# coding=utf-8 | |
# Copyright 2022 HuggingFace Inc. | |
# | |
# 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 transformers import DonutProcessor | |
DONUT_PRETRAINED_MODEL_NAME = "naver-clova-ix/donut-base" | |
class DonutProcessorTest(unittest.TestCase): | |
def setUp(self): | |
self.processor = DonutProcessor.from_pretrained(DONUT_PRETRAINED_MODEL_NAME) | |
def test_token2json(self): | |
expected_json = { | |
"name": "John Doe", | |
"age": "99", | |
"city": "Atlanta", | |
"state": "GA", | |
"zip": "30301", | |
"phone": "123-4567", | |
"nicknames": [{"nickname": "Johnny"}, {"nickname": "JD"}], | |
} | |
sequence = ( | |
"<s_name>John Doe</s_name><s_age>99</s_age><s_city>Atlanta</s_city>" | |
"<s_state>GA</s_state><s_zip>30301</s_zip><s_phone>123-4567</s_phone>" | |
"<s_nicknames><s_nickname>Johnny</s_nickname>" | |
"<sep/><s_nickname>JD</s_nickname></s_nicknames>" | |
) | |
actual_json = self.processor.token2json(sequence) | |
self.assertDictEqual(actual_json, expected_json) | |