



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


a__    =	{
    """configuration_canine""": ["""CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CanineConfig"""],
    """tokenization_canine""": ["""CanineTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a__    =	[
      """CANINE_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """CanineForMultipleChoice""",
      """CanineForQuestionAnswering""",
      """CanineForSequenceClassification""",
      """CanineForTokenClassification""",
      """CanineLayer""",
      """CanineModel""",
      """CaninePreTrainedModel""",
      """load_tf_weights_in_canine""",
  ]


if TYPE_CHECKING:
  from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
  from .tokenization_canine import CanineTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_canine import (
        CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
        CanineForMultipleChoice,
        CanineForQuestionAnswering,
        CanineForSequenceClassification,
        CanineForTokenClassification,
        CanineLayer,
        CanineModel,
        CaninePreTrainedModel,
        load_tf_weights_in_canine,
    )


else:
  import sys

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





import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 		snake_case						(	SCREAMING_SNAKE_CASE_					,unittest.TestCase  ):



   '''simple docstring'''






   snake_case_					: Optional[Any]          =		CTRLTokenizer
   snake_case_					: Optional[Any]          =		False
   snake_case_					: List[Any]          =		False

   def      UpperCamelCase_  (					self							:			int)				->				Dict:

    """simple docstring"""







    super().setUp()

    # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
    _snake_case    :  Dict					=					["""adapt""", """re@@""", """a@@""", """apt""", """c@@""", """t""", """<unk>"""]
    _snake_case    :  Optional[int]					=					dict(zip(lowerCAmelCase				,		range(len(lowerCAmelCase))))
    _snake_case    :  int					=					["""#version: 0.2""", """a p""", """ap t</w>""", """r e""", """a d""", """ad apt</w>""", """"""]
    _snake_case    :  List[Any]					=					{"""unk_token""": """<unk>"""}

    _snake_case    :  Dict					=					os.path.join(self.tmpdirname				,		VOCAB_FILES_NAMES["""vocab_file"""])
    _snake_case    :  Any					=					os.path.join(self.tmpdirname				,		VOCAB_FILES_NAMES["""merges_file"""])
    with open(self.vocab_file				,		"""w"""				,		encoding="""utf-8""") as fp:
     fp.write(json.dumps(lowerCAmelCase) + """\n""")
    with open(self.merges_file				,		"""w"""				,		encoding="""utf-8""") as fp:
     fp.write("""\n""".join(lowerCAmelCase))

   def      UpperCamelCase_  (					self							:			Dict				,		**lowerCAmelCase							:			int)				->				Optional[Any]:

    """simple docstring"""







    kwargs.update(self.special_tokens_map)
    return CTRLTokenizer.from_pretrained(self.tmpdirname				,		**lowerCAmelCase)

   def      UpperCamelCase_  (					self							:			Any				,		lowerCAmelCase							:			Optional[int])				->				Optional[int]:

    """simple docstring"""







    _snake_case    :  Tuple					=					"""adapt react readapt apt"""
    _snake_case    :  Tuple					=					"""adapt react readapt apt"""
    return input_text, output_text


   def      UpperCamelCase_  (					self							:			Union[str, Any])				->				str:

    """simple docstring"""







    _snake_case    :  str					=					CTRLTokenizer(self.vocab_file				,		self.merges_file				,		**self.special_tokens_map)
    _snake_case    :  Dict					=					"""adapt react readapt apt"""
    _snake_case    :  int					=					"""adapt re@@ a@@ c@@ t re@@ adapt apt""".split()
    _snake_case    :  Tuple					=					tokenizer.tokenize(lowerCAmelCase)
    self.assertListEqual(lowerCAmelCase				,		lowerCAmelCase)

    _snake_case    :  str					=					tokens + [tokenizer.unk_token]

    _snake_case    :  Union[str, Any]					=					[0, 1, 2, 4, 5, 1, 0, 3, 6]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase)				,		lowerCAmelCase)
