


import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin






class 	__lowercase					(	__snake_case			,       unittest.TestCase	):
      UpperCamelCase										=							TransfoXLTokenizer
      UpperCamelCase										=							False
      UpperCamelCase										=							False





      def 							_lowercase					(		self    :       Tuple							)     -> Optional[Any]:






         """simple docstring"""







         super().setUp()

         UpperCAmelCase      					=  [
             """<unk>""",
             """[CLS]""",
             """[SEP]""",
             """want""",
             """unwanted""",
             """wa""",
             """un""",
             """running""",
             """,""",
             """low""",
             """l""",
         ]
         UpperCAmelCase      					=  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 							_lowercase					(		self    :       Dict       ,							**__lowerCamelCase    :       Tuple							)     -> List[Any]:






         """simple docstring"""







         UpperCAmelCase      					=  True
         return TransfoXLTokenizer.from_pretrained(self.tmpdirname       ,							**__lowerCamelCase							)





      def 							_lowercase					(		self    :       Dict       ,							__lowerCamelCase    :       List[str]							)     -> List[str]:






         """simple docstring"""







         UpperCAmelCase      					=  """<unk> UNwanted , running"""
         UpperCAmelCase      					=  """<unk> unwanted, running"""
         return input_text, output_text





      def 							_lowercase					(		self    :       Tuple							)     -> str:






         """simple docstring"""







         UpperCAmelCase      					=  TransfoXLTokenizer(vocab_file=self.vocab_file       ,							lower_case=__lowerCamelCase							)

         UpperCAmelCase      					=  tokenizer.tokenize("""<unk> UNwanted , running"""							)
         self.assertListEqual(__lowerCamelCase       ,							["""<unk>""", """unwanted""", """,""", """running"""]							)

         self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase							)       ,							[0, 4, 8, 7]							)





      def 							_lowercase					(		self    :       Any							)     -> List[Any]:






         """simple docstring"""







         UpperCAmelCase      					=  TransfoXLTokenizer(lower_case=__lowerCamelCase							)

         self.assertListEqual(
             tokenizer.tokenize(""" \tHeLLo ! how  \n Are yoU ?  """							)       ,							["""hello""", """!""", """how""", """are""", """you""", """?"""]							)





      def 							_lowercase					(		self    :       Tuple							)     -> Optional[Any]:






         """simple docstring"""







         UpperCAmelCase      					=  TransfoXLTokenizer(lower_case=__lowerCamelCase							)

         self.assertListEqual(
             tokenizer.tokenize(""" \tHeLLo ! how  \n Are yoU ?  """							)       ,							["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)





      def 							_lowercase					(		self    :       Optional[int]							)     -> List[str]:






         """simple docstring"""







         UpperCAmelCase      					=  TransfoXLTokenizer(lower_case=__lowerCamelCase							)
         UpperCAmelCase      					=  """Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"""
         UpperCAmelCase      					=  [
             """Hello""",
             """(""",
             """bracket""",
             """)""",
             """and""",
             """side""",
             """@-@""",
             """scrolled""",
             """[""",
             """and""",
             """]""",
             """Henry""",
             """'s""",
             """$""",
             """5""",
             """@,@""",
             """000""",
             """with""",
             """3""",
             """@.@""",
             """34""",
             """m""",
             """.""",
             """What""",
             """'s""",
             """up""",
             """!""",
             """?""",
         ]

         self.assertListEqual(tokenizer.tokenize(__lowerCamelCase							)       ,							__lowerCamelCase							)

         self.assertEqual(tokenizer.convert_tokens_to_string(__lowerCamelCase							)       ,							__lowerCamelCase							)





      def 							_lowercase					(		self    :       str							)     -> List[str]:






         """simple docstring"""







         UpperCAmelCase      					=  self.get_tokenizer()
         UpperCAmelCase      					=  len(__lowerCamelCase							)

         tokenizer.add_tokens(["""new1""", """new2"""]							)
         tokenizer.move_added_token("""new1"""       ,							1							)

         # Check that moved token is not copied (duplicate)
         self.assertEqual(len(__lowerCamelCase							)       ,							original_len + 2							)
         # Check that token is moved to specified id
         self.assertEqual(tokenizer.encode("""new1"""							)       ,							[1]							)
         self.assertEqual(tokenizer.decode([1]							)       ,							"""new1"""							)







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


__a	 =      {"""configuration_reformer""": ["""REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ReformerConfig"""]}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __a	 =      ["""ReformerTokenizer"""]

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __a	 =      ["""ReformerTokenizerFast"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __a	 =      [
     """REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """ReformerAttention""",
     """ReformerForMaskedLM""",
     """ReformerForQuestionAnswering""",
     """ReformerForSequenceClassification""",
     """ReformerLayer""",
     """ReformerModel""",
     """ReformerModelWithLMHead""",
     """ReformerPreTrainedModel""",
 ]


if TYPE_CHECKING:
 from .configuration_reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig

 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_reformer import ReformerTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_reformer_fast import ReformerTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_reformer import (
      REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      ReformerAttention,
      ReformerForMaskedLM,
      ReformerForQuestionAnswering,
      ReformerForSequenceClassification,
      ReformerLayer,
      ReformerModel,
      ReformerModelWithLMHead,
      ReformerPreTrainedModel,
  )

else:
 import sys

 __a	 =      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



