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tests/models/mgp_str/test_tokenization_mgp_str.py

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+# Copyright 2023 The HuggingFace Inc. team. 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 json
+import os
+import unittest
+
+from transformers import MgpstrTokenizer
+from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
+from transformers.testing_utils import require_tokenizers
+
+from ...test_tokenization_common import TokenizerTesterMixin
+
+
+@require_tokenizers
+class MgpstrTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
+    from_pretrained_id = "alibaba-damo/mgp-str-base"
+    tokenizer_class = MgpstrTokenizer
+    test_rust_tokenizer = False
+    from_pretrained_kwargs = {}
+    test_seq2seq = False
+
+    @classmethod
+    def setUpClass(cls):
+        super().setUpClass()
+
+        vocab = ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']  # fmt: skip
+        vocab_tokens = dict(zip(vocab, range(len(vocab))))
+
+        cls.vocab_file = os.path.join(cls.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
+        with open(cls.vocab_file, "w", encoding="utf-8") as fp:
+            fp.write(json.dumps(vocab_tokens) + "\n")
+
+    @classmethod
+    def get_tokenizer(cls, pretrained_name=None, **kwargs):
+        pretrained_name = pretrained_name or cls.tmpdirname
+        return MgpstrTokenizer.from_pretrained(pretrained_name, **kwargs)
+
+    def get_input_output_texts(self, tokenizer):
+        input_text = "tester"
+        output_text = "tester"
+        return input_text, output_text
+
+    @unittest.skip(reason="MGP-STR always lower cases letters.")
+    def test_added_tokens_do_lower_case(self):
+        pass
+
+    def test_add_special_tokens(self):
+        tokenizers = self.get_tokenizers(do_lower_case=False)
+        for tokenizer in tokenizers:
+            with self.subTest(f"{tokenizer.__class__.__name__}"):
+                special_token = "[SPECIAL_TOKEN]"
+
+                tokenizer.add_special_tokens({"cls_token": special_token})
+                encoded_special_token = tokenizer.encode([special_token], add_special_tokens=False)
+                self.assertEqual(len(encoded_special_token), 1)
+
+                decoded = tokenizer.decode(encoded_special_token, skip_special_tokens=True)
+                self.assertTrue(special_token not in decoded)
+
+    def test_internal_consistency(self):
+        tokenizers = self.get_tokenizers()
+        for tokenizer in tokenizers:
+            with self.subTest(f"{tokenizer.__class__.__name__}"):
+                input_text, output_text = self.get_input_output_texts(tokenizer)
+
+                tokens = tokenizer.tokenize(input_text)
+                ids = tokenizer.convert_tokens_to_ids(tokens)
+                ids_2 = tokenizer.encode(input_text, add_special_tokens=False)
+                self.assertListEqual(ids, ids_2)
+
+                tokens_2 = tokenizer.convert_ids_to_tokens(ids)
+                self.assertNotEqual(len(tokens_2), 0)
+                text_2 = tokenizer.decode(ids)
+                self.assertIsInstance(text_2, str)
+
+                self.assertEqual(text_2.replace(" ", ""), output_text)
+
+    @unittest.skip(reason="MGP-STR tokenizer only handles one sequence.")
+    def test_maximum_encoding_length_pair_input(self):
+        pass
+
+    @unittest.skip(reason="inputs cannot be pretokenized in MgpstrTokenizer")
+    def test_pretokenized_inputs(self):
+        pass