"""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		(_UpperCamelCase    ,    unittest.TestCase      ):






					'''simple docstring'''


					a   	=		CTRLTokenizer
					a   	=		False
					a   	=		False



					def 			lowerCAmelCase_					(						self			:				List[str]		)							->       Any:
									super().setUp()

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

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



					def 			lowerCAmelCase_					(						self			:				Optional[int]   , **_snake_case			:				List[Any]		)							->       List[Any]:
									kwargs.update(self.special_tokens_map		)
									return CTRLTokenizer.from_pretrained(self.tmpdirname   , **__a		)



					def 			lowerCAmelCase_					(						self			:				str   , _snake_case			:				int		)							->       List[Any]:
									SCREAMING_SNAKE_CASE__		  =				"adapt react readapt apt"
									SCREAMING_SNAKE_CASE__		  =				"adapt react readapt apt"
									return input_text, output_text



					def 			lowerCAmelCase_					(						self			:				int		)							->       str:
									SCREAMING_SNAKE_CASE__		  =				CTRLTokenizer(self.vocab_file   , self.merges_file   , **self.special_tokens_map		)
									SCREAMING_SNAKE_CASE__		  =				"adapt react readapt apt"
									SCREAMING_SNAKE_CASE__		  =				"adapt re@@ a@@ c@@ t re@@ adapt apt".split()
									SCREAMING_SNAKE_CASE__		  =				tokenizer.tokenize(__a		)
									self.assertListEqual(__a   , __a		)

									SCREAMING_SNAKE_CASE__		  =				tokens + [tokenizer.unk_token]

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





"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import _LazyModule


_A   					=    {'processing_wav2vec2_with_lm': ['Wav2Vec2ProcessorWithLM']}


if TYPE_CHECKING:
						from .processing_wavaveca_with_lm import WavaVecaProcessorWithLM
else:
						import sys

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




