


'''simple docstring'''

import json
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin
class   __lowerCAmelCase						(lowercase_  ,     unittest.TestCase     ):





      '''simple docstring'''






      lowerCAmelCase__					:     Union[str, Any]  					=							CTRLTokenizer
      lowerCAmelCase__					:     str  					=							False
      lowerCAmelCase__					:     List[Any]  					=							False



      def       UpperCamelCase__		(self    :    Optional[Any] ):

             '''simple docstring'''







             super().setUp()

             # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
             lowercase__      			= ['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
             lowercase__      			= dict(zip(UpperCamelCase   ,						range(len(UpperCamelCase ) ) ) )
             lowercase__      			= ['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
             lowercase__      			= {'''unk_token''': '''<unk>'''}

             lowercase__      			= os.path.join(self.tmpdirname   ,						VOCAB_FILES_NAMES['''vocab_file'''] )
             lowercase__      			= 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(UpperCamelCase ) + '''\n''' )
             with open(self.merges_file   ,						'''w'''   ,						encoding='''utf-8''' ) as fp:
                    fp.write('''\n'''.join(UpperCamelCase ) )



      def       UpperCamelCase__		(self    :    int   ,						**UpperCamelCase    :    List[Any] ):

             '''simple docstring'''







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



      def       UpperCamelCase__		(self    :    List[str]   ,						UpperCamelCase    :    List[str] ):

             '''simple docstring'''







             lowercase__      			= '''adapt react readapt apt'''
             lowercase__      			= '''adapt react readapt apt'''
             return input_text, output_text






      def       UpperCamelCase__		(self    :    Union[str, Any] ):

             '''simple docstring'''







             lowercase__      			= CTRLTokenizer(self.vocab_file   ,						self.merges_file   ,						**self.special_tokens_map )
             lowercase__      			= '''adapt react readapt apt'''
             lowercase__      			= '''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
             lowercase__      			= tokenizer.tokenize(UpperCamelCase )
             self.assertListEqual(UpperCamelCase   ,						UpperCamelCase )

             lowercase__      			= tokens + [tokenizer.unk_token]

             lowercase__      			= [0, 1, 2, 4, 5, 1, 0, 3, 6]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase )   ,						UpperCamelCase )








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A		       =						{
    'configuration_jukebox': [
        'JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'JukeboxConfig',
        'JukeboxPriorConfig',
        'JukeboxVQVAEConfig',
    ],
    'tokenization_jukebox': ['JukeboxTokenizer'],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A		       =						[
       'JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST',
       'JukeboxModel',
       'JukeboxPreTrainedModel',
       'JukeboxVQVAE',
       'JukeboxPrior',
   ]

if TYPE_CHECKING:
   from .configuration_jukebox import (
       JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
       JukeboxConfig,
       JukeboxPriorConfig,
       JukeboxVQVAEConfig,
   )
   from .tokenization_jukebox import JukeboxTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_jukebox import (
          JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
          JukeboxModel,
          JukeboxPreTrainedModel,
          JukeboxPrior,
          JukeboxVQVAE,
      )

else:
   import sys

   _A		       =						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





