


"""simple docstring"""

def lowerCAmelCase_   (					UpperCamelCase__						:			Tuple					, UpperCamelCase__						:			str			):






 """simple docstring"""







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

 __lowercase						=						str(bin(UpperCamelCase_			)			)
 binary_number += "0" * shift_amount
 return binary_number


def lowerCAmelCase_   (					UpperCamelCase__						:			Optional[Any]					, UpperCamelCase__						:			Tuple			):






 """simple docstring"""







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

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


def lowerCAmelCase_   (					UpperCamelCase__						:			List[str]					, UpperCamelCase__						:			List[Any]			):






 """simple docstring"""







 if number >= 0:  # Get binary representation of positive number
  __lowercase						=						"""0""" + str(bin(UpperCamelCase_			)			).strip("""-"""			)[2:]
 else:  # Get binary (2's complement) representation of negative number
  __lowercase						=						len(bin(UpperCamelCase_			)[3:]			)  # Find 2's complement of number
  __lowercase						=						bin(abs(UpperCamelCase_			) - (1 << binary_number_length)			)[3:]
  __lowercase						=						(
      """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'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__SCREAMING_SNAKE_CASE					:				List[str]									=		{
    '''configuration_graphormer''': ['''GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GraphormerConfig'''],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__SCREAMING_SNAKE_CASE					:				Optional[Any]									=		[
							    '''GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''GraphormerForGraphClassification''',
							    '''GraphormerModel''',
							    '''GraphormerPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_graphormer import (
														    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GraphormerForGraphClassification,
														    GraphormerModel,
														    GraphormerPreTrainedModel,
														)


else:
							import sys

							__SCREAMING_SNAKE_CASE					:				Optional[int]									=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





