Switch test files to the standard test_*.py scheme.

tests/test_tokenization_transfo_xl.py

@@ -0,0 +1,89 @@
+# coding=utf-8
+# Copyright 2018 The Google AI Language Team Authors.
+#
+# 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.
+from __future__ import absolute_import, division, print_function, unicode_literals
+
+import os
+import unittest
+from io import open
+
+from transformers import is_torch_available
+
+from .tokenization_tests_commons import CommonTestCases
+from .utils import require_torch
+
+
+if is_torch_available():
+    from transformers.tokenization_transfo_xl import TransfoXLTokenizer, VOCAB_FILES_NAMES
+
+
+@require_torch
+class TransfoXLTokenizationTest(CommonTestCases.CommonTokenizerTester):
+
+    tokenizer_class = TransfoXLTokenizer if is_torch_available() else None
+
+    def setUp(self):
+        super(TransfoXLTokenizationTest, self).setUp()
+
+        vocab_tokens = [
+            "<unk>",
+            "[CLS]",
+            "[SEP]",
+            "want",
+            "unwanted",
+            "wa",
+            "un",
+            "running",
+            ",",
+            "low",
+            "l",
+        ]
+        self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
+        with open(self.vocab_file, "w", encoding="utf-8") as vocab_writer:
+            vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
+
+    def get_tokenizer(self, **kwargs):
+        kwargs["lower_case"] = True
+        return TransfoXLTokenizer.from_pretrained(self.tmpdirname, **kwargs)
+
+    def get_input_output_texts(self):
+        input_text = "<unk> UNwanted , running"
+        output_text = "<unk> unwanted, running"
+        return input_text, output_text
+
+    def test_full_tokenizer(self):
+        tokenizer = TransfoXLTokenizer(vocab_file=self.vocab_file, lower_case=True)
+
+        tokens = tokenizer.tokenize("<unk> UNwanted , running")
+        self.assertListEqual(tokens, ["<unk>", "unwanted", ",", "running"])
+
+        self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [0, 4, 8, 7])
+
+    def test_full_tokenizer_lower(self):
+        tokenizer = TransfoXLTokenizer(lower_case=True)
+
+        self.assertListEqual(
+            tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "), ["hello", "!", "how", "are", "you", "?"]
+        )
+
+    def test_full_tokenizer_no_lower(self):
+        tokenizer = TransfoXLTokenizer(lower_case=False)
+
+        self.assertListEqual(
+            tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "), ["HeLLo", "!", "how", "Are", "yoU", "?"]
+        )
+
+
+if __name__ == "__main__":
+    unittest.main()