

from math import pi, sqrt






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					float:
	if num <= 0:
		raise ValueError('math domain error'      )
	if num > 171.5:
		raise OverflowError('math range error'      )
	elif num - int(lowerCamelCase__      ) not in (0, 0.5):
		raise NotImplementedError('num must be an integer or a half-integer'      )
	elif num == 0.5:
		return sqrt(lowerCamelCase__      )
	else:
		return 1.0 if num == 1 else (num - 1) * gamma(num - 1      )






def        SCREAMING_SNAKE_CASE__	(  )  ->					None:
	assert gamma(0.5      ) == sqrt(lowerCamelCase__      )
	assert gamma(1      ) == 1.0
	assert gamma(2      ) == 1.0


if __name__ == "__main__":
					from doctest import testmod

					testmod()
					a		=1.0
					while num:
										a		=float(input("""Gamma of: """))
										print(F"""gamma({num}) = {gamma(num)}""")
										print("""\nEnter 0 to exit...""")







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a		={
    """configuration_bigbird_pegasus""": [
        """BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BigBirdPegasusConfig""",
        """BigBirdPegasusOnnxConfig""",
    ],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a		=[
					    """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

					a		=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




