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transformers/tests/models/donut/test_processing_donut.py

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+# 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 tempfile
+import unittest
+
+from transformers import DonutImageProcessor, DonutProcessor, XLMRobertaTokenizerFast
+
+from ...test_processing_common import ProcessorTesterMixin
+
+
+class DonutProcessorTest(ProcessorTesterMixin, unittest.TestCase):
+    from_pretrained_id = "naver-clova-ix/donut-base"
+    processor_class = DonutProcessor
+
+    @classmethod
+    def setUpClass(cls):
+        cls.processor = DonutProcessor.from_pretrained(cls.from_pretrained_id)
+        cls.tmpdirname = tempfile.mkdtemp()
+
+        image_processor = DonutImageProcessor()
+        tokenizer = XLMRobertaTokenizerFast.from_pretrained(cls.from_pretrained_id)
+
+        processor = DonutProcessor(image_processor, tokenizer)
+
+        processor.save_pretrained(cls.tmpdirname)
+
+    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"}],
+            "multiline": "text\nwith\nnewlines",
+            "empty": "",
+        }
+
+        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>"
+            "<s_multiline>text\nwith\nnewlines</s_multiline>"
+            "<s_empty></s_empty>"
+        )
+        actual_json = self.processor.token2json(sequence)
+
+        self.assertDictEqual(actual_json, expected_json)