



'''simple docstring'''






from __future__ import annotations

import random



class 							lowercase :


 """simple docstring"""


 UpperCAmelCase					=						6







 def __init__(							self							)	->     int:
        _UpperCAmelCase						:		Optional[int]      =				list(range(1						,Dice.NUM_SIDES + 1							)							)







 def _snake_case				(							self							)	->     Union[str, Any]:
        return random.choice(self.sides							)







def 					snake_case_      (  lowerCAmelCase_ ,     lowerCAmelCase_ = 2	)->	list[float]:





       '''simple docstring'''


       _UpperCAmelCase						:		Optional[int]      =				[Dice() for i in range(lowerCAmelCase_	)]
       _UpperCAmelCase						:		Union[str, Any]      =				[0] * (len(lowerCAmelCase_	) * Dice.NUM_SIDES + 1)
       for _ in range(lowerCAmelCase_	):
              count_of_sum[sum(dice.roll() for dice in dices	)] += 1
       _UpperCAmelCase						:		Union[str, Any]      =				[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()








'''simple docstring'''






from typing import TYPE_CHECKING

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


A_							:				List[Any]						=			{
    """configuration_deta""": ["""DETA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DetaConfig"""],
}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_							:				Optional[int]						=			["""DetaImageProcessor"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_							:				Optional[Any]						=			[
       """DETA_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """DetaForObjectDetection""",
       """DetaModel""",
       """DetaPreTrainedModel""",
   ]


if TYPE_CHECKING:
   from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_deta import DetaImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_deta import (
          DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
          DetaForObjectDetection,
          DetaModel,
          DetaPreTrainedModel,
      )

else:
   import sys

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



