




import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 						__lowercase		(UpperCamelCase__					,		unittest.TestCase							):




      """simple docstring"""





      _snake_case												=						LxmertTokenizer
      _snake_case												=						LxmertTokenizerFast
      _snake_case												=						True
      _snake_case												=						True

      def      UpperCAmelCase				(				self     )		->    int:
         super().setUp()

         snake_case				:    Optional[Any]           =	[
             """[UNK]""",
             """[CLS]""",
             """[SEP]""",
             """want""",
             """##want""",
             """##ed""",
             """wa""",
             """un""",
             """runn""",
             """##ing""",
             """,""",
             """low""",
             """lowest""",
         ]
         snake_case				:    Any           =	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      UpperCAmelCase				(				self    ,				A     )		->    Any:
         snake_case				:    int           =	"""UNwant\u00E9d,running"""
         snake_case				:    Any           =	"""unwanted, running"""
         return input_text, output_text

      def      UpperCAmelCase				(				self     )		->    int:
         snake_case				:    List[Any]           =	self.tokenizer_class(self.vocab_file     )

         snake_case				:    Any           =	tokenizer.tokenize("""UNwant\u00E9d,running"""     )
         self.assertListEqual(A    ,				["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]     )
         self.assertListEqual(tokenizer.convert_tokens_to_ids(A     )    ,				[7, 4, 5, 1_0, 8, 9]     )

      def      UpperCAmelCase				(				self     )		->    Optional[Any]:
         if not self.test_rust_tokenizer:
            return

         snake_case				:    Union[str, Any]           =	self.get_tokenizer()
         snake_case				:    Optional[int]           =	self.get_rust_tokenizer()

         snake_case				:    List[Any]           =	"""I was born in 92000, and this is falsé."""

         snake_case				:    Tuple           =	tokenizer.tokenize(A     )
         snake_case				:    List[str]           =	rust_tokenizer.tokenize(A     )
         self.assertListEqual(A    ,				A     )

         snake_case				:    Union[str, Any]           =	tokenizer.encode(A    ,				add_special_tokens=A     )
         snake_case				:    Union[str, Any]           =	rust_tokenizer.encode(A    ,				add_special_tokens=A     )
         self.assertListEqual(A    ,				A     )

         snake_case				:    Any           =	self.get_rust_tokenizer()
         snake_case				:    int           =	tokenizer.encode(A     )
         snake_case				:    List[Any]           =	rust_tokenizer.encode(A     )
         self.assertListEqual(A    ,				A     )











from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments





