
import json
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin




class 				A__ (			_lowerCamelCase ,  unittest.TestCase):
		A_		: Optional[Any]            =			CTRLTokenizer
		A_		: Any            =			False
		A_		: int            =			False

		def 							__lowerCamelCase							(   self				):
			super().setUp()

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

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

		def 							__lowerCamelCase							(   self ,	**_SCREAMING_SNAKE_CASE				):
			kwargs.update(self.special_tokens_map				)
			return CTRLTokenizer.from_pretrained(self.tmpdirname ,	**_SCREAMING_SNAKE_CASE				)

		def 							__lowerCamelCase							(   self ,	_SCREAMING_SNAKE_CASE				):
			__lowerCAmelCase    :		Optional[Any]		    =   'adapt react readapt apt'
			__lowerCAmelCase    :		Union[str, Any]		    =   'adapt react readapt apt'
			return input_text, output_text







		def 							__lowerCamelCase							(   self				):
			__lowerCAmelCase    :		List[str]		    =   CTRLTokenizer(self.vocab_file ,	self.merges_file ,	**self.special_tokens_map				)
			__lowerCAmelCase    :		Tuple		    =   'adapt react readapt apt'
			__lowerCAmelCase    :		Union[str, Any]		    =   'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
			__lowerCAmelCase    :		List[Any]		    =   tokenizer.tokenize(_SCREAMING_SNAKE_CASE				)
			self.assertListEqual(_SCREAMING_SNAKE_CASE ,	_SCREAMING_SNAKE_CASE				)

			__lowerCAmelCase    :		Any		    =   tokens + [tokenizer.unk_token]

			__lowerCAmelCase    :		Dict		    =   [0, 1, 2, 4, 5, 1, 0, 3, 6]
			self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE				) ,	_SCREAMING_SNAKE_CASE				)

"""simple docstring"""







def 					__lowerCAmelCase       (_UpperCamelCase ,						_UpperCamelCase = False	):

	if not isinstance(_UpperCamelCase ,						_UpperCamelCase	):
		__lowerCAmelCase    :		str		    =   F"Expected string as input, found {type(_UpperCamelCase	)}"
		raise ValueError(_UpperCamelCase	)
	if not isinstance(_UpperCamelCase ,						_UpperCamelCase	):
		__lowerCAmelCase    :		Union[str, Any]		    =   F"Expected boolean as use_pascal parameter, found {type(_UpperCamelCase	)}"
		raise ValueError(_UpperCamelCase	)

	__lowerCAmelCase    :		Tuple		    =   input_str.split('_'	)

	__lowerCAmelCase    :		int		    =   0 if use_pascal else 1

	__lowerCAmelCase    :		Any		    =   words[start_index:]

	__lowerCAmelCase    :		Any		    =   [word[0].upper() + word[1:] for word in words_to_capitalize]

	__lowerCAmelCase    :		Any		    =   '' if use_pascal else words[0]

	return "".join([initial_word, *capitalized_words]	)


if __name__ == "__main__":
							from doctest import testmod

							testmod()