





from __future__ import annotations

import random





class 					lowerCAmelCase							:
  __lowerCamelCase		=			6







  def __init__(			self  :int					):






     '''simple docstring'''





     lowercase__    =  list(range(1    ,							Dice.NUM_SIDES + 1					)					)







  def   UpperCAmelCase     (			self  :Any					):






     '''simple docstring'''





     return random.choice(self.sides					)


def _A   (    __magic_name__  ,					__magic_name__ = 2       ):
   lowercase__    =  [Dice() for i in range(__magic_name__       )]
   lowercase__    =  [0] * (len(__magic_name__       ) * Dice.NUM_SIDES + 1)
   for _ in range(__magic_name__       ):
      count_of_sum[sum(dice.roll() for dice in dices       )] += 1
   lowercase__    =  [round((count * 100) / num_throws  ,					2       ) for count in count_of_sum]
   return probability[num_dice:]  # remove probability of sums that never appear


if __name__ == "__main__":
  import doctest

  doctest.testmod()













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_snake_case				= {"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case				= [
      """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """DinatForImageClassification""",
      """DinatModel""",
      """DinatPreTrainedModel""",
      """DinatBackbone""",
  ]

if TYPE_CHECKING:
  from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_dinat import (
        DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
        DinatBackbone,
        DinatForImageClassification,
        DinatModel,
        DinatPreTrainedModel,
    )

else:
  import sys

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






