



"""simple docstring"""





from collections import defaultdict
class 				lowercase__       :







       '''simple docstring'''


       def __init__(							self      :  Any		,    _UpperCAmelCase      :  Tuple		,    _UpperCAmelCase      :  Any   )			->						int:


             '''simple docstring'''




             UpperCAmelCase_      			=							total  # total no of tasks (N)

             # DP table will have a dimension of (2^M)*N
             # initially all values are set to -1
             UpperCAmelCase_      			=							[
                 [-1 for i in range(total + 1   )] for j in range(2 ** len(_UpperCAmelCase   )   )
             ]

             UpperCAmelCase_      			=							defaultdict(_UpperCAmelCase   )  # stores the list of persons for each task

             # final_mask is used to check if all persons are included by setting all bits
             # to 1
             UpperCAmelCase_      			=							(1 << len(_UpperCAmelCase   )) - 1



       def 					lowercase__    (							self      :  Optional[Any]		,    _UpperCAmelCase      :  List[str]		,    _UpperCAmelCase      :  Dict   )			->						Dict:


             '''simple docstring'''




             if mask == self.final_mask:
                   return 1

             # if not everyone gets the task and no more tasks are available, return 0
             if task_no > self.total_tasks:
                   return 0

             # if case already considered
             if self.dp[mask][task_no] != -1:
                   return self.dp[mask][task_no]

             # Number of ways when we don't this task in the arrangement
             UpperCAmelCase_      			=							self.count_ways_until(_UpperCAmelCase		,    task_no + 1   )

             # now assign the tasks one by one to all possible persons and recursively
             # assign for the remaining tasks.
             if task_no in self.task:
                   for p in self.task[task_no]:
                         # if p is already given a task
                         if mask & (1 << p):
                               continue

                         # assign this task to p and change the mask value. And recursively
                         # assign tasks with the new mask value.
                         total_ways_util += self.count_ways_until(mask | (1 << p)		,    task_no + 1   )

        # save the value.
             UpperCAmelCase_      			=							total_ways_util

             return self.dp[mask][task_no]







       def 					lowercase__    (							self      :  Dict		,    _UpperCAmelCase      :  Dict   )			->						List[Any]:


             '''simple docstring'''




             for i in range(len(_UpperCAmelCase   )   ):
                   for j in task_performed[i]:
                         self.task[j].append(_UpperCAmelCase   )

        # call the function to fill the DP table, final answer is stored in dp[0][1]
             return self.count_ways_until(0		,    1   )


if __name__ == "__main__":
  lowerCamelCase       	=						5  # total no of tasks (the value of N)

  # the list of tasks that can be done by M persons.
  lowerCamelCase       	=						[[1, 3, 4], [1, 2, 5], [3, 4]]
  print(
      AssignmentUsingBitmask(task_performed, total_tasks).count_no_of_ways(
          task_performed
      )
  )









"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


lowerCamelCase       	=						logging.get_logger(__name__)
class 				lowercase__       (   SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       def __init__(							self      :  Union[str, Any]		,    *_UpperCAmelCase      :  List[Any]		,    **_UpperCAmelCase      :  Union[str, Any]   )			->						None:


             '''simple docstring'''




             warnings.warn(
                 "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                 " use FlavaImageProcessor instead."		,    _UpperCAmelCase		,    )
             super().__init__(*_UpperCAmelCase		,    **_UpperCAmelCase   )




