from collections import defaultdict





class UpperCAmelCase						:


				'''simple docstring'''






				def __init__(						self		,     lowercase		,     lowercase ):



						"""simple docstring"""





						A_		:    Optional[int]         =				total  # total no of tasks (N)

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

						A_		:    Union[str, Any]         =				defaultdict(SCREAMING_SNAKE_CASE_ )  # 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
						A_		:    List[Any]         =				(1 << len(SCREAMING_SNAKE_CASE_ )) - 1
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase ):



						"""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
						A_		:    List[Any]         =				self.count_ways_until(SCREAMING_SNAKE_CASE_		,     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.
						A_		:    List[Any]         =				total_ways_util

						return self.dp[mask][task_no]







				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





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

        # 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__":
					_UpperCAmelCase            =		5  # total no of tasks (the value of N)

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







import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


_UpperCAmelCase            =		logging.get_logger(__name__)





class UpperCAmelCase						( __A  ):


				'''simple docstring'''






				def __init__(						self		,     *lowercase		,     **lowercase ):



						"""simple docstring"""





						warnings.warn(
						    'The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
						    ' use DonutImageProcessor instead.'		,     lowercase		,     )
						super().__init__(*lowercase		,     **lowercase )






