


from collections import defaultdict


class 	A_ :




						'''simple docstring'''


						def __init__(    self:	Tuple						,				a:	int						,				a:	Any    ):
							__lowerCamelCase		:							str		 =						total  # total no of tasks (N)

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

							__lowerCamelCase		:							List[str]		 =						defaultdict(a    )  # 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		:							Any		 =						(1 << len(a    )) - 1




						def 					_snake_case     (    self:	Dict						,				a:	str						,				a:	Any    ):
							# 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		:							str		 =						self.count_ways_until(a						,				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		:							Union[str, Any]		 =						total_ways_util

							return self.dp[mask][task_no]




						def 					_snake_case     (    self:	Tuple						,				a:	Any    ):
							# Store the list of persons for each task
							for i in range(len(a    )    ):
								for j in task_performed[i]:
									self.task[j].append(a    )

								# 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_chinese_clip import ChineseCLIPImageProcessor


lowercase_	   =     logging.get_logger(__name__)


class 	A_ (	__UpperCamelCase   ):




      '''simple docstring'''


      def __init__(    self:	List[str]						,				*a:	List[Any]						,				**a:	Optional[Any]    ):
       warnings.warn(
           'The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
           ' Please use ChineseCLIPImageProcessor instead.'						,				a						,				)
       super().__init__(*a						,				**a    )

