


"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase						:				List[Any]             =      {
    "configuration_pegasus_x": ["PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusXConfig"],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase						:				Optional[int]             =      [
				    "PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "PegasusXForConditionalGeneration",
				    "PegasusXModel",
				    "PegasusXPreTrainedModel",
				]


if TYPE_CHECKING:
				from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_pegasus_x import (
								    PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
								    PegasusXForConditionalGeneration,
								    PegasusXModel,
								    PegasusXPreTrainedModel,
								)


else:
				import sys

				UpperCamelCase						:				Tuple             =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)









"""simple docstring"""


from statistics import mean, stdev







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ = 3	)      ->		list:







		"""simple docstring"""





		A					       = min(UpperCamelCase__	)
		A					       = max(UpperCamelCase__	)
		# normalize data
		return [round((x - x_min) / (x_max - x_min) ,			UpperCamelCase__	) for x in data]







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ = 3	)      ->		list:







		"""simple docstring"""





		A					       = mean(UpperCamelCase__	)
		A					       = stdev(UpperCamelCase__	)
		# standardize data
		return [round((x - mu) / (sigma) ,			UpperCamelCase__	) for x in data]





