

import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class    A__(a_,       unittest.TestCase    ):
						"""simple docstring"""






						_A  :							Optional[Any]   			=	BertweetTokenizer
						_A  :							Union[str, Any]   			=	False





						def 	UpperCamelCase__			(  self  )      ->				Optional[Any]:
									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									a_		:		str				    =				["""I""", """m""", """V@@""", """R@@""", """r""", """e@@"""]
									a_		:		int				    =				dict(zip(_lowercase       ,     range(len(_lowercase  )  )  )  )
									a_		:		Union[str, Any]				    =				["""#version: 0.2""", """a m</w>"""]
									a_		:		List[Any]				    =				{"""unk_token""": """<unk>"""}

									a_		:		List[str]				    =				os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES["""vocab_file"""]  )
									a_		:		Union[str, Any]				    =				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(_lowercase  )  )





						def 	UpperCamelCase__			(  self       ,     **_lowercase  )      ->				Any:
									kwargs.update(self.special_tokens_map  )
									return BertweetTokenizer.from_pretrained(self.tmpdirname       ,     **_lowercase  )





						def 	UpperCamelCase__			(  self       ,     _lowercase  )      ->				int:
									a_		:		int				    =				"""I am VinAI Research"""
									a_		:		Dict				    =				"""I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
									return input_text, output_text





						def 	UpperCamelCase__			(  self  )      ->				int:
									a_		:		List[Any]				    =				BertweetTokenizer(self.vocab_file       ,     self.merges_file       ,     **self.special_tokens_map  )
									a_		:		List[Any]				    =				"""I am VinAI Research"""
									a_		:		Optional[Any]				    =				"""I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h""".split()
									a_		:		List[Any]				    =				tokenizer.tokenize(_lowercase  )
									self.assertListEqual(_lowercase       ,     _lowercase  )

									a_		:		Optional[Any]				    =				tokens + [tokenizer.unk_token]

									a_		:		Union[str, Any]				    =				[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase  )       ,     _lowercase  )





from collections import namedtuple

__snake_case							:     Optional[Any] 						=	namedtuple("""from_to""", """from_ to""")

__snake_case							:     Tuple 						=	{
    """millimeter""": """mm""",
    """centimeter""": """cm""",
    """meter""": """m""",
    """kilometer""": """km""",
    """inch""": """in""",
    """inche""": """in""",  # Trailing 's' has been stripped off
    """feet""": """ft""",
    """foot""": """ft""",
    """yard""": """yd""",
    """mile""": """mi""",
}

__snake_case							:     Optional[int] 						=	{
    """mm""": from_to(0.001, 10_00),
    """cm""": from_to(0.01, 1_00),
    """m""": from_to(1, 1),
    """km""": from_to(10_00, 0.001),
    """in""": from_to(0.0254, 39.3701),
    """ft""": from_to(0.3048, 3.2_8084),
    """yd""": from_to(0.9144, 1.0_9361),
    """mi""": from_to(1609.34, 0.0_0062_1371),
}


def 			_UpperCAmelCase							(		a__       ,					a__       ,					a__):

			'''simple docstring'''



			a_		:		List[str]				    =				from_type.lower().rstrip("""s""")
			a_		:		Union[str, Any]				    =				TYPE_CONVERSION.get(a__       ,					a__)
			a_		:		Optional[int]				    =				to_type.lower().rstrip("""s""")
			a_		:		Optional[int]				    =				TYPE_CONVERSION.get(a__       ,					a__)
			if new_from not in METRIC_CONVERSION:
						a_		:		Any				    =				(
						    f'''Invalid \'from_type\' value: {from_type!r}.\n'''
						    f'''Conversion abbreviations are: {", ".join(a__)}'''
						)
						raise ValueError(a__)
			if new_to not in METRIC_CONVERSION:
						a_		:		Union[str, Any]				    =				(
						    f'''Invalid \'to_type\' value: {to_type!r}.\n'''
						    f'''Conversion abbreviations are: {", ".join(a__)}'''
						)
						raise ValueError(a__)
			return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
	import doctest

	doctest.testmod()


