
import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


snake_case :		Union[str, Any]							      =  get_tests_dir("fixtures/test_sentencepiece_bpe.model")





class       _snake_case					(     snake_case				,						unittest.TestCase				):
			UpperCamelCase__          =    BartphoTokenizer
			UpperCamelCase__          =    False
			UpperCamelCase__          =    True







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

				__magic_name__		:		Union[str, Any]	   =     ["▁This", "▁is", "▁a", "▁t", "est"]
				__magic_name__		:		int	   =     dict(zip(_a						,   range(len(_a		)		)		)		)
				__magic_name__		:		int	   =     {"unk_token": "<unk>"}

				__magic_name__		:		Dict	   =     os.path.join(self.tmpdirname						,   VOCAB_FILES_NAMES["monolingual_vocab_file"]		)
				with open(self.monolingual_vocab_file						,   "w"						,   encoding="utf-8"		) as fp:
					for token in vocab_tokens:
						fp.write(f'''{token} {vocab_tokens[token]}\n'''		)

				__magic_name__		:		Union[str, Any]	   =     BartphoTokenizer(_a						,   self.monolingual_vocab_file						,   **self.special_tokens_map		)
				tokenizer.save_pretrained(self.tmpdirname		)







			def 			SCREAMING_SNAKE_CASE    (				self						,   **_a		):
				kwargs.update(self.special_tokens_map		)
				return BartphoTokenizer.from_pretrained(self.tmpdirname						,   **_a		)







			def 			SCREAMING_SNAKE_CASE    (				self						,   _a		):
				__magic_name__		:		Union[str, Any]	   =     "This is a là test"
				__magic_name__		:		Dict	   =     "This is a<unk><unk> test"
				return input_text, output_text







			def 			SCREAMING_SNAKE_CASE    (				self		):
				__magic_name__		:		List[Any]	   =     BartphoTokenizer(_a						,   self.monolingual_vocab_file						,   **self.special_tokens_map		)
				__magic_name__		:		Optional[Any]	   =     "This is a là test"
				__magic_name__		:		str	   =     "▁This ▁is ▁a ▁l à ▁t est".split()
				__magic_name__		:		Any	   =     tokenizer.tokenize(_a		)
				self.assertListEqual(_a						,   _a		)

				__magic_name__		:		Tuple	   =     tokens + [tokenizer.unk_token]
				__magic_name__		:		str	   =     [4, 5, 6, 3, 3, 7, 8, 3]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(_a		)						,   _a		)


import math






def   lowerCAmelCase_						(					_snake_case      :  float      ,   _snake_case      :  float   )				->		float:







	'''simple docstring'''


	return math.pow(_snake_case      ,   2   ) - a






def   lowerCAmelCase_						(					_snake_case      :  float   )				->		float:







	'''simple docstring'''


	return 2 * x






def   lowerCAmelCase_						(					_snake_case      :  float   )				->		float:







	'''simple docstring'''


	__magic_name__		:		Optional[int]	   =     2.0

	while start <= a:
		__magic_name__		:		str	   =     math.pow(_snake_case      ,   2   )

	return start






def   lowerCAmelCase_						(					_snake_case      :  float      ,   _snake_case      :  int = 9999      ,   _snake_case      :  float = 0.00_000_000_000_001   )				->		float:







	'''simple docstring'''


	if a < 0:
		raise ValueError("math domain error"   )

	__magic_name__		:		Optional[int]	   =     get_initial_point(_snake_case   )

	for _ in range(_snake_case   ):
		__magic_name__		:		int	   =     value
		__magic_name__		:		str	   =     value - fx(_snake_case      ,   _snake_case   ) / fx_derivative(_snake_case   )
		if abs(prev_value - value   ) < tolerance:
			return value

	return value


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

				testmod()
