"""simple docstring"""






import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class 				snake_case       ( __UpperCAmelCase      ,    unittest.TestCase				):




					"""simple docstring"""

					snake_case__				    = PhobertTokenizer
					snake_case__				    = False







					def 		__lowerCAmelCase						(				self   :	str			):
									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									UpperCAmelCase__             =							['T@@', 'i', 'I', 'R@@', 'r', 'e@@']
									UpperCAmelCase__             =							dict(zip(lowerCamelCase__    ,range(len(lowerCamelCase__			)			)			)			)
									UpperCAmelCase__             =							['#version: 0.2', 'l à</w>']
									UpperCAmelCase__             =							{'unk_token': '<unk>'}

									UpperCAmelCase__             =							os.path.join(self.tmpdirname    ,VOCAB_FILES_NAMES['vocab_file']			)
									UpperCAmelCase__             =							os.path.join(self.tmpdirname    ,VOCAB_FILES_NAMES['merges_file']			)

									with open(self.vocab_file    ,'w'    ,encoding='utf-8'			) as fp:
													for token in vocab_tokens:
																	fp.write(f'''{token} {vocab_tokens[token]}\n'''			)
									with open(self.merges_file    ,'w'    ,encoding='utf-8'			) as fp:
													fp.write('\n'.join(lowerCamelCase__			)			)







					def 		__lowerCAmelCase						(				self   :	List[Any]    ,**lowerCamelCase__   :	List[Any]			):
									kwargs.update(self.special_tokens_map			)
									return PhobertTokenizer.from_pretrained(self.tmpdirname    ,**lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	int    ,lowerCamelCase__   :	Union[str, Any]			):
									UpperCAmelCase__             =							'Tôi là VinAI Research'
									UpperCAmelCase__             =							'T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
									return input_text, output_text







					def 		__lowerCAmelCase						(				self   :	Optional[int]			):
									UpperCAmelCase__             =							PhobertTokenizer(self.vocab_file    ,self.merges_file    ,**self.special_tokens_map			)
									UpperCAmelCase__             =							'Tôi là VinAI Research'
									UpperCAmelCase__             =							'T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'.split()
									UpperCAmelCase__             =							tokenizer.tokenize(lowerCamelCase__			)
									print(lowerCamelCase__			)
									self.assertListEqual(lowerCamelCase__    ,lowerCamelCase__			)

									UpperCAmelCase__             =							tokens + [tokenizer.unk_token]

									UpperCAmelCase__             =							[4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__			)    ,lowerCamelCase__			)




"""simple docstring"""






import math



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				if (
				    not isinstance(lowerCamelCase					,			(int, float)       )
				    or power_factor < -1
				    or power_factor > 1
				):
								raise ValueError('power_factor must be a valid float value between -1 and 1.'       )
				return apparent_power * power_factor



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				if (
				    not isinstance(lowerCamelCase					,			(int, float)       )
				    or power_factor < -1
				    or power_factor > 1
				):
								raise ValueError('power_factor must be a valid float value between -1 and 1.'       )
				return apparent_power * math.sqrt(1 - power_factor**2       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()



