text: # 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.
  
  
  import os
  import unittest
  
  from transformers import SPIECE_UNDERLINE, XLNetTokenizer, XLNetTokenizerFast
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, slow
  
  from .test_tokenization_common import TokenizerTesterMixin
  
  
  SAMPLE_VOCAB = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/test_sentencepiece.model")
  
  
  @require_sentencepiece
  @require_tokenizers
  class XLNetTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
  
      tokenizer_class = XLNetTokenizer
      rust_tokenizer_class = XLNetTokenizerFast
      test_rust_tokenizer = True
  
      def setUp(self):
          super().setUp()
  
          # We have a SentencePiece fixture for testing
          tokenizer = XLNetTokenizer(SAMPLE_VOCAB, keep_accents=True)
          tokenizer.sanitize_special_tokens()
          tokenizer.save_pretrained(self.tmpdirname)
  
      def test_full_tokenizer(self):
          tokenizer = XLNetTokenizer(SAMPLE_VOCAB, keep_accents=True)
  
          tokens = tokenizer.tokenize("This is a test")
          self.assertListEqual(tokens, ["▁This", "▁is", "▁a", "▁t", "est"])
  
          self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [285, 46, 10, 170, 382])
  
          tokens = tokenizer.tokenize("I was born in 92000, and this is falsé.")
          self.assertListEqual(
              tokens,
              [
                  SPIECE_UNDERLINE + "I",
                  SPIECE_UNDERLINE + "was",
                  SPIECE_UNDERLINE + "b",
                  "or",
                  "n",
                  SPIECE_UNDERLINE + "in",
                  SPIECE_UNDERLINE + "",
                  "9",
                  "2",
                  "0",
                  "0",
                  "0",
                  ",",
                  SPIECE_UNDERLINE + "and",
                  SPIECE_UNDERLINE + "this",
                  SPIECE_UNDERLINE + "is",
                  SPIECE_UNDERLINE + "f",
                  "al",
                  "s",
                  "é",
                  ".",
              ],
          )
          ids = tokenizer.convert_tokens_to_ids(tokens)
          self.assertListEqual(ids, [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4])
  
          back_tokens = tokenizer.convert_ids_to_tokens(ids)
          self.assertListEqual(
              back_tokens,
              [
                  SPIECE_UNDERLINE + "I",
                  SPIECE_UNDERLINE + "was",
                  SPIECE_UNDERLINE + "b",
                  "or",
                  "n",
                  SPIECE_UNDERLINE + "in",
                  SPIECE_UNDERLINE + "",
                  "<unk>",
                  "2",
                  "0",
                  "0",
                  "0",
                  ",",
                  SPIECE_UNDERLINE + "and",
                  SPIECE_UNDERLINE + "this",
                  SPIECE_UNDERLINE + "is",
                  SPIECE_UNDERLINE + "f",
                  "al",
                  "s",
                  "<unk>",
                  ".",
              ],
          )
  
      def test_tokenizer_lower(self):
          tokenizer = XLNetTokenizer(SAMPLE_VOCAB, do_lower_case=True)
          tokens = tokenizer.tokenize("I was born in 92000, and this is falsé.")
          self.assertListEqual(
              tokens,
              [
                  SPIECE_UNDERLINE + "",
                  "i",
                  SPIECE_UNDERLINE + "was",
                  SPIECE_UNDERLINE + "b",
                  "or",
                  "n",
                  SPIECE_UNDERLINE + "in",
                  SPIECE_UNDERLINE + "",
                  "9",
                  "2",
                  "0",
                  "0",
                  "0",
                  ",",
                  SPIECE_UNDERLINE + "and",
                  SPIECE_UNDERLINE + "this",
                  SPIECE_UNDERLINE + "is",
                  SPIECE_UNDERLINE + "f",
                  "al",
                  "se",
                  ".",
              ],
          )
          self.assertListEqual(tokenizer.tokenize("H\u00E9llo"), ["▁he", "ll", "o"])
  
      def test_tokenizer_no_lower(self):
          tokenizer = XLNetTokenizer(SAMPLE_VOCAB, do_lower_case=False)
          tokens = tokenizer.tokenize("I was born in 92000, and this is falsé.")
          self.assertListEqual(
              tokens,
              [
                  SPIECE_UNDERLINE + "I",
                  SPIECE_UNDERLINE + "was",
                  SPIECE_UNDERLINE + "b",
                  "or",
                  "n",
                  SPIECE_UNDERLINE + "in",
                  SPIECE_UNDERLINE + "",
                  "9",
                  "2",
                  "0",
                  "0",
                  "0",
                  ",",
                  SPIECE_UNDERLINE + "and",
                  SPIECE_UNDERLINE + "this",
                  SPIECE_UNDERLINE + "is",
                  SPIECE_UNDERLINE + "f",
                  "al",
                  "se",
                  ".",
              ],
          )
  
      @slow
      def test_sequence_builders(self):
          tokenizer = XLNetTokenizer.from_pretrained("xlnet-base-cased")
  
          text = tokenizer.encode("sequence builders", add_special_tokens=False)
          text_2 = tokenizer.encode("multi-sequence build", add_special_tokens=False)
  
          encoded_sentence = tokenizer.build_inputs_with_special_tokens(text)
          encoded_pair = tokenizer.build_inputs_with_special_tokens(text, text_2)
  
          assert encoded_sentence == text + [4, 3]
          assert encoded_pair == text + [4] + text_2 + [4, 3]
  