



from collections import defaultdict






class 						__a :



	def __init__(						self							:    str				,	snake_case_							:    Union[str, Any]				,	snake_case_							:    Optional[int])->							Optional[Any]:
						__lowerCAmelCase	   =total  # total no of tasks (N)

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

						__lowerCAmelCase	   =defaultdict(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
						__lowerCAmelCase	   =(1 << len(snake_case_)) - 1



	def 		UpperCamelCase							(						self							:    Dict				,	snake_case_							:    List[str]				,	snake_case_							:    Optional[Any])->							Optional[int]:
						# if mask == self.finalmask all persons are distributed tasks, return 1
						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
						__lowerCAmelCase	   =self.count_ways_until(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.
						__lowerCAmelCase	   =total_ways_util

						return self.dp[mask][task_no]



	def 		UpperCamelCase							(						self							:    str				,	snake_case_							:    str)->							List[Any]:
						# Store the list of persons for each task
						for i in range(len(snake_case_)):
											for j in task_performed[i]:
																self.task[j].append(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__":
				lowercase_	       =			5  # total no of tasks (the value of N)

				# the list of tasks that can be done by M persons.
				lowercase_	       =			[[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_poolformer import PoolFormerImageProcessor


lowercase_	       =			logging.get_logger(__name__)






class 						__a (     SCREAMING_SNAKE_CASE				):



	def __init__(						self							:    Optional[Any]				,	*snake_case_							:    List[str]				,	**snake_case_							:    Union[str, Any])->							None:
						warnings.warn(
						    """The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
						    """ Please use PoolFormerImageProcessor instead."""				,	snake_case_				,	)
						super().__init__(*snake_case_				,	**snake_case_)




