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 			SCREAMING_SNAKE_CASE__		(	self      :			Tuple )      ->				Optional[Any]:
									super().setUp()

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

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







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Tuple	,	**__lowerCamelCase      :			Tuple )      ->				Optional[int]:
									kwargs.update(self.special_tokens_map )
									return CTRLTokenizer.from_pretrained(self.tmpdirname	,	**_snake_case )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Tuple	,	__lowerCamelCase      :			Dict )      ->				str:
									A							:					List[str]              =						"adapt react readapt apt"
									A							:					Tuple              =						"adapt react readapt apt"
									return input_text, output_text







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Tuple )      ->				List[Any]:
									A							:					Optional[int]              =						CTRLTokenizer(self.vocab_file	,	self.merges_file	,	**self.special_tokens_map )
									A							:					Any              =						"adapt react readapt apt"
									A							:					Any              =						"adapt re@@ a@@ c@@ t re@@ adapt apt".split()
									A							:					Any              =						tokenizer.tokenize(_snake_case )
									self.assertListEqual(_snake_case	,	_snake_case )

									A							:					Any              =						tokens + [tokenizer.unk_token]

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




import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
__SCREAMING_SNAKE_CASE           =  """."""


if __name__ == "__main__":
							__SCREAMING_SNAKE_CASE           =  os.path.join(REPO_PATH, """utils/documentation_tests.txt""")
							__SCREAMING_SNAKE_CASE           =  []
							__SCREAMING_SNAKE_CASE           =  []
							with open(doctest_file_path) as fp:
														for line in fp:
																					__SCREAMING_SNAKE_CASE           =  line.strip()
																					__SCREAMING_SNAKE_CASE           =  os.path.join(REPO_PATH, line)
																					if not (os.path.isfile(path) or os.path.isdir(path)):
																												non_existent_paths.append(line)
																					all_paths.append(path)
							if len(non_existent_paths) > 0:
														__SCREAMING_SNAKE_CASE           =  """\n""".join(non_existent_paths)
														raise ValueError(F"""`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}""")
							if all_paths != sorted(all_paths):
														raise ValueError("""Files in `utils/documentation_tests.txt` are not in alphabetical order.""")