





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


UpperCamelCase__      =get_tests_dir('fixtures/test_sentencepiece_bpe.model')





class 			lowerCAmelCase__( _snake_case  ,     unittest.TestCase    ):






       '''simple docstring'''


       __snake_case 			=    BartphoTokenizer
       __snake_case 			=    False
       __snake_case 			=    True




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

            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							["▁This", "▁is", "▁a", "▁t", "est"]
            _SCREAMING_SNAKE_CASE       :	int						    =							dict(zip(__lowerCamelCase    ,						range(len(__lowerCamelCase							)							)							)							)
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							{"unk_token": "<unk>"}

            _SCREAMING_SNAKE_CASE       :	Tuple						    =							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"""							)

            _SCREAMING_SNAKE_CASE       :	List[str]						    =							BartphoTokenizer(__lowerCamelCase    ,						self.monolingual_vocab_file    ,						**self.special_tokens_map							)
            tokenizer.save_pretrained(self.tmpdirname							)




       def     UpperCamelCase_			(      self    ,						**__lowerCamelCase							)			->     Dict:
            kwargs.update(self.special_tokens_map							)
            return BartphoTokenizer.from_pretrained(self.tmpdirname    ,						**__lowerCamelCase							)




       def     UpperCamelCase_			(      self    ,						__lowerCamelCase							)			->     Optional[Any]:
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							"This is a là test"
            _SCREAMING_SNAKE_CASE       :	Dict						    =							"This is a<unk><unk> test"
            return input_text, output_text







       def     UpperCamelCase_			(      self							)			->     Optional[Any]:
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							BartphoTokenizer(__lowerCamelCase    ,						self.monolingual_vocab_file    ,						**self.special_tokens_map							)
            _SCREAMING_SNAKE_CASE       :	Any						    =							"This is a là test"
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							"▁This ▁is ▁a ▁l à ▁t est".split()
            _SCREAMING_SNAKE_CASE       :	Dict						    =							tokenizer.tokenize(__lowerCamelCase							)
            self.assertListEqual(__lowerCamelCase    ,						__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							tokens + [tokenizer.unk_token]
            _SCREAMING_SNAKE_CASE       :	str						    =							[4, 5, 6, 3, 3, 7, 8, 3]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase							)    ,						__lowerCamelCase							)






import cmath
import math






def     lowerCamelCase__			(__lowerCamelCase,       __lowerCamelCase,       __lowerCamelCase,       __lowerCamelCase	):
     _SCREAMING_SNAKE_CASE       :	Any						    =							math.radians(__lowerCamelCase	)
     _SCREAMING_SNAKE_CASE       :	Tuple						    =							math.radians(__lowerCamelCase	)

     # Convert voltage and current to rectangular form
     _SCREAMING_SNAKE_CASE       :	str						    =							cmath.rect(__lowerCamelCase,       __lowerCamelCase	)
     _SCREAMING_SNAKE_CASE       :	str						    =							cmath.rect(__lowerCamelCase,       __lowerCamelCase	)

     # Calculate apparent power
     return voltage_rect * current_rect


if __name__ == "__main__":
       import doctest

       doctest.testmod()