






"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase     :     str            =	{"""configuration_qdqbert""": ["""QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """QDQBertConfig"""]}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _lowerCAmelCase     :     List[str]            =	[
     """QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """QDQBertForMaskedLM""",
     """QDQBertForMultipleChoice""",
     """QDQBertForNextSentencePrediction""",
     """QDQBertForQuestionAnswering""",
     """QDQBertForSequenceClassification""",
     """QDQBertForTokenClassification""",
     """QDQBertLayer""",
     """QDQBertLMHeadModel""",
     """QDQBertModel""",
     """QDQBertPreTrainedModel""",
     """load_tf_weights_in_qdqbert""",
 ]


if TYPE_CHECKING:
 from .configuration_qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_qdqbert import (
      QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
      QDQBertForMaskedLM,
      QDQBertForMultipleChoice,
      QDQBertForNextSentencePrediction,
      QDQBertForQuestionAnswering,
      QDQBertForSequenceClassification,
      QDQBertForTokenClassification,
      QDQBertLayer,
      QDQBertLMHeadModel,
      QDQBertModel,
      QDQBertPreTrainedModel,
      load_tf_weights_in_qdqbert,
  )


else:
 import sys

 _lowerCAmelCase     :     Dict            =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




"""simple docstring"""




def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_			):
					if not isinstance(SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			):
										SCREAMING_SNAKE_CASE				=	(
										    'operation can not be conducted on a object of type '
										    f'''{type(SCREAMING_SNAKE_CASE_			).__name__}'''
										)
										raise TypeError(SCREAMING_SNAKE_CASE_			)
					SCREAMING_SNAKE_CASE				=	''
					for _ in range(0,     3_2			):
										bit_string += str(number % 2			)
										SCREAMING_SNAKE_CASE				=	number >> 1
					return bit_string

def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_			):
					if number < 0:
										raise ValueError('the value of input must be positive'			)
					elif isinstance(SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			):
										raise TypeError('Input value must be a \'int\' type'			)
					elif isinstance(SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			):
										raise TypeError('\'<\' not supported between instances of \'str\' and \'int\''			)
					SCREAMING_SNAKE_CASE				=	0
					# iterator over [1 to 32],since we are dealing with 32 bit integer
					for _ in range(1,     3_3			):
										# left shift the bits by unity
										SCREAMING_SNAKE_CASE				=	result << 1
										# get the end bit
										SCREAMING_SNAKE_CASE				=	number % 2
										# right shift the bits by unity
										SCREAMING_SNAKE_CASE				=	number >> 1
										# add that bit to our ans
										SCREAMING_SNAKE_CASE				=	result | end_bit
					return get_reverse_bit_string(SCREAMING_SNAKE_CASE_			)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
