
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


lowerCamelCase__						=				get_tests_dir("fixtures/test_sentencepiece_bpe.model")







class 							lowerCAmelCase__   ( __lowercase		,						unittest.TestCase						):
						UpperCamelCase_				:			Optional[Any]						=		BartphoTokenizer
						UpperCamelCase_				:			Dict						=		False
						UpperCamelCase_				:			Any						=		True

						def 			A_					(      self					)       ->   Union[str, Any]:


								'''simple docstring'''

								super().setUp()

								_UpperCamelCase         =						["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]
								_UpperCamelCase         =						dict(zip(A_							,				range(len(A_					)					)					)					)
								_UpperCamelCase         =						{"""unk_token""": """<unk>"""}

								_UpperCamelCase         =						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'					)

								_UpperCamelCase         =						BartphoTokenizer(A_							,				self.monolingual_vocab_file							,				**self.special_tokens_map					)
								tokenizer.save_pretrained(self.tmpdirname					)

						def 			A_					(      self							,				**a					)       ->   Optional[int]:


								'''simple docstring'''

								kwargs.update(self.special_tokens_map					)
								return BartphoTokenizer.from_pretrained(self.tmpdirname							,				**A_					)

						def 			A_					(      self							,				a					)       ->   Optional[int]:


								'''simple docstring'''

								_UpperCamelCase         =						"""This is a là test"""
								_UpperCamelCase         =						"""This is a<unk><unk> test"""
								return input_text, output_text







						def 			A_					(      self					)       ->   Optional[Any]:


								'''simple docstring'''

								_UpperCamelCase         =						BartphoTokenizer(A_							,				self.monolingual_vocab_file							,				**self.special_tokens_map					)
								_UpperCamelCase         =						"""This is a là test"""
								_UpperCamelCase         =						"""▁This ▁is ▁a ▁l à ▁t est""".split()
								_UpperCamelCase         =						tokenizer.tokenize(A_					)
								self.assertListEqual(A_							,				A_					)

								_UpperCamelCase         =						tokens + [tokenizer.unk_token]
								_UpperCamelCase         =						[4, 5, 6, 3, 3, 7, 8, 3]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(A_					)							,				A_					)







"""simple docstring"""




from collections.abc import Callable





def       a_ (	lowercase__ :Callable[[float], float],			lowercase__ :float,			lowercase__ :float     ):
			__lowerCamelCase          =      a
			__lowerCamelCase          =      b
			if function(lowercase__     ) == 0:  # one of the a or b is a root for the function
						return a
			elif function(lowercase__     ) == 0:
						return b
			elif (
			    function(lowercase__     ) * function(lowercase__     ) > 0
			):  # if none of these are root and they are both positive or negative,
						# then this algorithm can't find the root
						raise ValueError("""could not find root in given interval."""     )
			else:
						__lowerCamelCase          =      start + (end - start) / 2.0
						while abs(start - mid     ) > 10**-7:  # until precisely equals to 10^-7
									if function(lowercase__     ) == 0:
												return mid
									elif function(lowercase__     ) * function(lowercase__     ) < 0:
												__lowerCamelCase          =      mid
									else:
												__lowerCamelCase          =      mid
									__lowerCamelCase          =      start + (end - start) / 2.0
						return mid





def       a_ (	lowercase__ :float     ):
			return x**3 - 2 * x - 5


if __name__ == "__main__":
					print(bisection(f, 1, 1_0_0_0))

					import doctest

					doctest.testmod()




