


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_SCREAMING_SNAKE_CASE      :			Optional[int]      				=   {
    "configuration_xlm_roberta_xl": [
        "XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XLMRobertaXLConfig",
        "XLMRobertaXLOnnxConfig",
    ],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _SCREAMING_SNAKE_CASE      :			str      				=   [
     "XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
     "XLMRobertaXLForCausalLM",
     "XLMRobertaXLForMaskedLM",
     "XLMRobertaXLForMultipleChoice",
     "XLMRobertaXLForQuestionAnswering",
     "XLMRobertaXLForSequenceClassification",
     "XLMRobertaXLForTokenClassification",
     "XLMRobertaXLModel",
     "XLMRobertaXLPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_xlm_roberta_xl import (
     XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
     XLMRobertaXLConfig,
     XLMRobertaXLOnnxConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_xlm_roberta_xl import (
      XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
      XLMRobertaXLForCausalLM,
      XLMRobertaXLForMaskedLM,
      XLMRobertaXLForMultipleChoice,
      XLMRobertaXLForQuestionAnswering,
      XLMRobertaXLForSequenceClassification,
      XLMRobertaXLForTokenClassification,
      XLMRobertaXLModel,
      XLMRobertaXLPreTrainedModel,
  )

else:
 import sys

 _SCREAMING_SNAKE_CASE      :			Optional[int]      				=   _LazyModule(__name__, globals()["__file__"], _import_structure)








def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_    ):



     """simple docstring"""






     snake_case					=    len(UpperCamelCase_    )
     snake_case					=    [[0] * n for i in range(UpperCamelCase_    )]
     for i in range(UpperCamelCase_    ):
          snake_case					=    y_points[i]

     for i in range(2							,UpperCamelCase_    ):
          for j in range(UpperCamelCase_							,UpperCamelCase_    ):
               snake_case					=    (
                   (xa - x_points[j - i + 1]) * q[j][i - 1]
                   - (xa - x_points[j]) * q[j - 1][i - 1]
               ) / (x_points[j] - x_points[j - i + 1])

     return [q[n - 1][n - 1], q]


if __name__ == "__main__":
 import doctest

 doctest.testmod()




