
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin





class 				UpperCAmelCase (    __SCREAMING_SNAKE_CASE     ,     unittest.TestCase    ):




	'''simple docstring'''





	snake_case_          =	TransfoXLTokenizer
	snake_case_          =	False
	snake_case_          =	False






	def 							UpperCamelCase_    (			self   :					Union[str, Any]					):
					super().setUp()

					__A       =					[
					    "<unk>",
					    "[CLS]",
					    "[SEP]",
					    "want",
					    "unwanted",
					    "wa",
					    "un",
					    "running",
					    ",",
					    "low",
					    "l",
					]
					__A       =					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   :					Union[str, Any]				,**A   :					Optional[Any]					):
					__A       =					True
					return TransfoXLTokenizer.from_pretrained(self.tmpdirname				,**A					)






	def 							UpperCamelCase_    (			self   :					List[Any]				,A   :					Dict					):
					__A       =					"<unk> UNwanted , running"
					__A       =					"<unk> unwanted, running"
					return input_text, output_text






	def 							UpperCamelCase_    (			self   :					str					):
					__A       =					TransfoXLTokenizer(vocab_file=self.vocab_file				,lower_case=A					)

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

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






	def 							UpperCamelCase_    (			self   :					Any					):
					__A       =					TransfoXLTokenizer(lower_case=A					)

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






	def 							UpperCamelCase_    (			self   :					List[str]					):
					__A       =					TransfoXLTokenizer(lower_case=A					)

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






	def 							UpperCamelCase_    (			self   :					Optional[int]					):
					__A       =					TransfoXLTokenizer(lower_case=A					)
					__A       =					"Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"
					__A       =					[
					    "Hello",
					    "(",
					    "bracket",
					    ")",
					    "and",
					    "side",
					    "@-@",
					    "scrolled",
					    "[",
					    "and",
					    "]",
					    "Henry",
					    "'s",
					    "$",
					    "5",
					    "@,@",
					    "000",
					    "with",
					    "3",
					    "@.@",
					    "34",
					    "m",
					    ".",
					    "What",
					    "'s",
					    "up",
					    "!",
					    "?",
					]

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

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







	def 							UpperCamelCase_    (			self   :					Optional[int]					):
					__A       =					self.get_tokenizer()
					__A       =					len(A					)

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

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






'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase      :   Optional[int]      =       {
    """configuration_pegasus_x""": ["""PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusXConfig"""],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase      :   int      =       [
          """PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """PegasusXForConditionalGeneration""",
          """PegasusXModel""",
          """PegasusXPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_pegasus_x import (
                PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
                PegasusXForConditionalGeneration,
                PegasusXModel,
                PegasusXPreTrainedModel,
            )


else:
      import sys

      lowercase      :   Optional[Any]      =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



