



'''simple docstring'''

def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      str:
		if number < 0 or shift_amount < 0:
				raise ValueError('both inputs must be positive integers'  )

		_a     :      Optional[int]        =							str(bin(lowerCAmelCase_  )  )
		binary_number += "0" * shift_amount
		return binary_number



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      str:
		if number < 0 or shift_amount < 0:
				raise ValueError('both inputs must be positive integers'  )

		_a     :      Tuple        =							str(bin(lowerCAmelCase_  )  )[2:]
		if shift_amount >= len(lowerCAmelCase_  ):
				return "0b0"
		_a     :      Optional[int]        =							binary_number[: len(lowerCAmelCase_  ) - shift_amount]
		return "0b" + shifted_binary_number



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      str:
		if number >= 0:  # Get binary representation of positive number
				_a     :      Optional[Any]        =							'0' + str(bin(lowerCAmelCase_  )  ).strip('-'  )[2:]
		else:  # Get binary (2's complement) representation of negative number
				_a     :      List[str]        =							len(bin(lowerCAmelCase_  )[3:]  )  # Find 2's complement of number
				_a     :      Optional[int]        =							bin(abs(lowerCAmelCase_  ) - (1 << binary_number_length)  )[3:]
				_a     :      Dict        =							(
				    '1' + '0' * (binary_number_length - len(lowerCAmelCase_  )) + binary_number
				)

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


if __name__ == "__main__":
							import doctest

							doctest.testmod()









'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase									=   {
    '''configuration_bigbird_pegasus''': [
        '''BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BigBirdPegasusConfig''',
        '''BigBirdPegasusOnnxConfig''',
    ],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase									=   [
							    '''BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''BigBirdPegasusForCausalLM''',
							    '''BigBirdPegasusForConditionalGeneration''',
							    '''BigBirdPegasusForQuestionAnswering''',
							    '''BigBirdPegasusForSequenceClassification''',
							    '''BigBirdPegasusModel''',
							    '''BigBirdPegasusPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_bigbird_pegasus import (
							    BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    BigBirdPegasusConfig,
							    BigBirdPegasusOnnxConfig,
							)

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_bigbird_pegasus import (
														    BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
														    BigBirdPegasusForCausalLM,
														    BigBirdPegasusForConditionalGeneration,
														    BigBirdPegasusForQuestionAnswering,
														    BigBirdPegasusForSequenceClassification,
														    BigBirdPegasusModel,
														    BigBirdPegasusPreTrainedModel,
														)


else:
							import sys

							__lowerCAmelCase									=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




