



"""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  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_	,     unittest.TestCase     ):


					'''simple docstring'''





					_a         =							CTRLTokenizer
					_a         =							False
					_a         =							False



					def 	snake_case ( self							:						Optional[int]  )->      List[str]:
								super().setUp()

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

								lowerCamelCase__	:	Any				=os.path.join(self.tmpdirname,						VOCAB_FILES_NAMES['''vocab_file''']  )
								lowerCamelCase__	:	List[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 	snake_case ( self							:						List[str],						**lowerCamelCase							:						Optional[Any]  )->      Dict:
								kwargs.update(self.special_tokens_map  )
								return CTRLTokenizer.from_pretrained(self.tmpdirname,						**lowerCamelCase  )



					def 	snake_case ( self							:						List[Any],						lowerCamelCase							:						List[str]  )->      Union[str, Any]:
								lowerCamelCase__	:	List[str]				='''adapt react readapt apt'''
								lowerCamelCase__	:	int				='''adapt react readapt apt'''
								return input_text, output_text




					def 	snake_case ( self							:						int  )->      Tuple:
								lowerCamelCase__	:	List[str]				=CTRLTokenizer(self.vocab_file,						self.merges_file,						**self.special_tokens_map  )
								lowerCamelCase__	:	List[Any]				='''adapt react readapt apt'''
								lowerCamelCase__	:	Union[str, Any]				='''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
								lowerCamelCase__	:	Optional[int]				=tokenizer.tokenize(lowerCamelCase  )
								self.assertListEqual(lowerCamelCase,						lowerCamelCase  )

								lowerCamelCase__	:	List[str]				=tokens + [tokenizer.unk_token]

								lowerCamelCase__	:	List[str]				=[0, 1, 2, 4, 5, 1, 0, 3, 6]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase  ),						lowerCamelCase  )









"""simple docstring"""






def   snake_case__     (	__lowerCamelCase       :					str			):
			"""simple docstring"""
			return " ".join(
			    ''''''.join(word[::-1]			) if len(__lowerCamelCase			) > 4 else word for word in sentence.split()			)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		print(reverse_long_words("Hey wollef sroirraw"))




