






from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
__UpperCAmelCase										=		TypeVar('T', bound='Enum')



@unique
class 						lowerCamelCase   (UpperCAmelCase__    ):







		'''simple docstring'''



		_snake_case					:					List[str] 		=						8_0
		_snake_case					:					Dict 		=						7_0
		_snake_case					:					int 		=						6_0
		_snake_case					:					Union[str, Any] 		=						5_0
		_snake_case					:					str 		=						4_0
		_snake_case					:					Any 		=						3_0
		_snake_case					:					Tuple 		=						2_0
		_snake_case					:					int 		=						1_0





@unique
class 						lowerCamelCase   (UpperCAmelCase__    ):







		'''simple docstring'''



		_snake_case					:					str 		=						2_4
		_snake_case					:					str 		=						2_1
		_snake_case					:					List[str] 		=						1_8
		_snake_case					:					List[Any] 		=						1_5
		_snake_case					:					Any 		=						1_2
		_snake_case					:					Dict 		=						9
		_snake_case					:					Union[str, Any] 		=						6
		_snake_case					:					int 		=						3
		_snake_case					:					Dict 		=						2
		_snake_case					:					Any 		=						1
		_snake_case					:					int 		=						-1
		_snake_case					:					int 		=						-2
		_snake_case					:					List[Any] 		=						-3
		_snake_case					:					Tuple 		=						-6
		_snake_case					:					Any 		=						-9
		_snake_case					:					Optional[int] 		=						-1_2
		_snake_case					:					Tuple 		=						-1_5
		_snake_case					:					Any 		=						-1_8
		_snake_case					:					Dict 		=						-2_1
		_snake_case					:					Any 		=						-2_4



		@classmethod
		def       __UpperCAmelCase    (							cls     )			->							Optional[Any]:
							return {unit.name: unit.value for unit in cls if unit.value > 0}



		@classmethod
		def       __UpperCAmelCase    (							cls     )			->							str:
							return {unit.name: unit.value for unit in cls if unit.value < 0}





def   lowercase__   (  __snake_case					:							Any						):


					'''simple docstring'''


					UpperCAmelCase_					:   Tuple   =		SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
					for name_prefix, value_prefix in prefixes.items():
										UpperCAmelCase_					:   Dict   =		value / (10**value_prefix)
										if numerical_part > 1:
															return F"{numerical_part!s} {name_prefix}"
					return str(__snake_case						)




def   lowercase__   (  __snake_case					:							int						):


					'''simple docstring'''


					for prefix in BinaryUnit:
										UpperCAmelCase_					:   Optional[int]   =		value / (2**prefix.value)
										if numerical_part > 1:
															return F"{numerical_part!s} {prefix.name}"
					return str(__snake_case						)


if __name__ == "__main__":
		import doctest

		doctest.testmod()














import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin



class 						lowerCamelCase   (_snake_case				,						unittest.TestCase    ):







		'''simple docstring'''



		_snake_case					:					Tuple 		=						BertweetTokenizer
		_snake_case					:					List[str] 		=						False



		def       __UpperCAmelCase    (							self     )			->							Optional[int]:
							super().setUp()

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

							UpperCAmelCase_					:   Optional[Any]   =		os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES['vocab_file']     )
							UpperCAmelCase_					:   List[str]   =		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(_UpperCamelCase     )     )



		def       __UpperCAmelCase    (							self       ,	**_UpperCamelCase     )			->							List[Any]:
							kwargs.update(self.special_tokens_map     )
							return BertweetTokenizer.from_pretrained(self.tmpdirname       ,	**_UpperCamelCase     )



		def       __UpperCAmelCase    (							self       ,	_UpperCamelCase     )			->							List[Any]:
							UpperCAmelCase_					:   Any   =		'I am VinAI Research'
							UpperCAmelCase_					:   Any   =		'I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
							return input_text, output_text



		def       __UpperCAmelCase    (							self     )			->							Tuple:
							UpperCAmelCase_					:   Union[str, Any]   =		BertweetTokenizer(self.vocab_file       ,	self.merges_file       ,	**self.special_tokens_map     )
							UpperCAmelCase_					:   Optional[Any]   =		'I am VinAI Research'
							UpperCAmelCase_					:   str   =		'I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'.split()
							UpperCAmelCase_					:   Any   =		tokenizer.tokenize(_UpperCamelCase     )
							self.assertListEqual(_UpperCamelCase       ,	_UpperCamelCase     )

							UpperCAmelCase_					:   Optional[int]   =		tokens + [tokenizer.unk_token]

							UpperCAmelCase_					:   List[str]   =		[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase     )       ,	_UpperCamelCase     )






