"""simple docstring"""





from typing import TYPE_CHECKING

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


_UpperCamelCase     :		Optional[Any]											=					{
    "configuration_longt5": ["LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongT5Config", "LongT5OnnxConfig"],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _UpperCamelCase     :		Optional[int]											=					[
           "LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST",
           "LongT5EncoderModel",
           "LongT5ForConditionalGeneration",
           "LongT5Model",
           "LongT5PreTrainedModel",
       ]

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _UpperCamelCase     :		List[Any]											=					[
           "FlaxLongT5ForConditionalGeneration",
           "FlaxLongT5Model",
           "FlaxLongT5PreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_longta import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongTaConfig, LongTaOnnxConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_longta import (
                  LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
                  LongTaEncoderModel,
                  LongTaForConditionalGeneration,
                  LongTaModel,
                  LongTaPreTrainedModel,
              )

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_longta import (
                  FlaxLongTaForConditionalGeneration,
                  FlaxLongTaModel,
                  FlaxLongTaPreTrainedModel,
              )


else:
       import sys

       _UpperCamelCase     :		List[str]											=					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


"""simple docstring"""





from collections.abc import Sequence





def        a_  (   _lowerCAmelCase						:				Sequence[float]     ,				_lowerCAmelCase						:				float  ):





       '''simple docstring'''

       return sum(c * (x**i) for i, c in enumerate(_lowerCAmelCase  )  )





def        a_  (   _lowerCAmelCase						:				Sequence[float]     ,				_lowerCAmelCase						:				float  ):





       '''simple docstring'''

       lowercase__    :	int     					=			0.0
       for coeff in reversed(_lowerCAmelCase  ):
              lowercase__    :	List[Any]     					=			result * x + coeff
       return result


if __name__ == "__main__":
       _UpperCamelCase     :		int											=					(0.0, 0.0, 5.0, 9.3, 7.0)
       _UpperCamelCase     :		Dict											=					1_0.0
       print(evaluate_poly(poly, x))
       print(horner(poly, x))

