



"""simple docstring"""







def   lowerCAmelCase__			(     lowerCamelCase__				,      lowerCamelCase__			) ->							Any:






							if number < 0 or shift_amount < 0:
														raise ValueError('both inputs must be positive integers'			)

							A         =					str(bin(__UpperCamelCase			)			)
							binary_number += "0" * shift_amount
							return binary_number

def   lowerCAmelCase__			(     lowerCamelCase__				,      lowerCamelCase__			) ->							Optional[Any]:






							if number < 0 or shift_amount < 0:
														raise ValueError('both inputs must be positive integers'			)

							A         =					str(bin(__UpperCamelCase			)			)[2:]
							if shift_amount >= len(__UpperCamelCase			):
														return "0b0"
							A         =					binary_number[: len(__UpperCamelCase			) - shift_amount]
							return "0b" + shifted_binary_number

def   lowerCAmelCase__			(     lowerCamelCase__				,      lowerCamelCase__			) ->							Optional[int]:






							if number >= 0:  # Get binary representation of positive number
														A         =					"""0""" + str(bin(__UpperCamelCase			)			).strip('-'			)[2:]
							else:  # Get binary (2's complement) representation of negative number
														A         =					len(bin(__UpperCamelCase			)[3:]			)  # Find 2's complement of number
														A         =					bin(abs(__UpperCamelCase			) - (1 << binary_number_length)			)[3:]
														A         =					(
														    """1""" + """0""" * (binary_number_length - len(__UpperCamelCase			)) + binary_number
														)

							if shift_amount >= len(__UpperCamelCase			):
														return "0b" + binary_number[0] * len(__UpperCamelCase			)
							return (
							    "0b"
							    + binary_number[0] * shift_amount
							    + binary_number[: len(__UpperCamelCase			) - shift_amount]
							)


if __name__ == "__main__":
	import doctest

	doctest.testmod()








"""simple docstring"""







import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class      UpperCAmelCase__		(      UpperCamelCase   ,unittest.TestCase     ):
		lowerCAmelCase_       :	Tuple 							=     LayoutLMTokenizer
		lowerCAmelCase_       :	Any 							=     LayoutLMTokenizerFast
		lowerCAmelCase_       :	Optional[int] 							=     True
		lowerCAmelCase_       :	List[Any] 							=     True



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






									'''simple docstring'''

									super().setUp()

									A         =					[
									    '[UNK]',
									    '[CLS]',
									    '[SEP]',
									    'want',
									    '##want',
									    '##ed',
									    'wa',
									    'un',
									    'runn',
									    '##ing',
									    ',',
									    'low',
									    'lowest',
									]
									A         =					os.path.join(self.tmpdirname      ,							VOCAB_FILES_NAMES['vocab_file']				)
									with open(self.vocab_file      ,							'w'      ,							encoding='utf-8'				) as vocab_writer:
																vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]				)				)



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






									'''simple docstring'''

									return LayoutLMTokenizer.from_pretrained(self.tmpdirname      ,							**snake_case				)



		def 					A_		( self  :    List[str]      ,							snake_case  :    int				)			->						List[Any]:






									'''simple docstring'''

									A         =					'UNwant\u00E9d,running'
									A         =					'unwanted, running'
									return input_text, output_text



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






									'''simple docstring'''

									A         =					self.tokenizer_class(self.vocab_file				)

									A         =					tokenizer.tokenize('UNwant\u00E9d,running'				)
									self.assertListEqual(snake_case      ,							['un', '##want', '##ed', ',', 'runn', '##ing']				)
									self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case				)      ,							[7, 4, 5, 10, 8, 9]				)



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






									'''simple docstring'''

									pass



