






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase	:							Dict				=logging.get_logger(__name__)

lowerCamelCase	:							List[Any]				={
    '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/config.json''',
    '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/config.json''',
    '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/config.json''',
    '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/config.json''',
    '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json''',
    '''roberta-large-openai-detector''': '''https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json''',
}





class 			__a  (    A__       ):
 _lowerCAmelCase       :       List[str]        = '''roberta'''







 def __init__(		self					:   Optional[Any]							,   SCREAMING_SNAKE_CASE					:   List[Any]=5_02_65							,   SCREAMING_SNAKE_CASE					:   Tuple=7_68							,   SCREAMING_SNAKE_CASE					:   Any=12							,   SCREAMING_SNAKE_CASE					:   str=12							,   SCREAMING_SNAKE_CASE					:   List[str]=30_72							,   SCREAMING_SNAKE_CASE					:   Tuple="gelu"							,   SCREAMING_SNAKE_CASE					:   int=0.1							,   SCREAMING_SNAKE_CASE					:   List[Any]=0.1							,   SCREAMING_SNAKE_CASE					:   List[str]=5_12							,   SCREAMING_SNAKE_CASE					:   int=2							,   SCREAMING_SNAKE_CASE					:   int=0.0_2							,   SCREAMING_SNAKE_CASE					:   Optional[int]=1e-1_2							,   SCREAMING_SNAKE_CASE					:   Union[str, Any]=1							,   SCREAMING_SNAKE_CASE					:   Optional[int]=0							,   SCREAMING_SNAKE_CASE					:   List[Any]=2							,   SCREAMING_SNAKE_CASE					:   List[Any]="absolute"							,   SCREAMING_SNAKE_CASE					:   Any=True							,   SCREAMING_SNAKE_CASE					:   List[Any]=None							,   **SCREAMING_SNAKE_CASE					:   Optional[Any]							,   ):


      '''simple docstring'''






      super().__init__(pad_token_id=UpperCamelCase_							,   bos_token_id=UpperCamelCase_							,   eos_token_id=UpperCamelCase_							,   **UpperCamelCase_						)

      UpperCamelCase__			:   Dict       				=  vocab_size
      UpperCamelCase__			:   List[str]       				=  hidden_size
      UpperCamelCase__			:   Any       				=  num_hidden_layers
      UpperCamelCase__			:   Dict       				=  num_attention_heads
      UpperCamelCase__			:   Any       				=  hidden_act
      UpperCamelCase__			:   Any       				=  intermediate_size
      UpperCamelCase__			:   List[Any]       				=  hidden_dropout_prob
      UpperCamelCase__			:   Optional[Any]       				=  attention_probs_dropout_prob
      UpperCamelCase__			:   Optional[Any]       				=  max_position_embeddings
      UpperCamelCase__			:   Tuple       				=  type_vocab_size
      UpperCamelCase__			:   Tuple       				=  initializer_range
      UpperCamelCase__			:   Any       				=  layer_norm_eps
      UpperCamelCase__			:   Tuple       				=  position_embedding_type
      UpperCamelCase__			:   Union[str, Any]       				=  use_cache
      UpperCamelCase__			:   List[str]       				=  classifier_dropout







class 			__a  (    A__       ):







 @property
 def 					__lowercase					(		self					:   Optional[Any]						):


      '''simple docstring'''






      if self.task == "multiple-choice":
           UpperCamelCase__			:   Optional[Any]       				=  {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
      else:
           UpperCamelCase__			:   Optional[Any]       				=  {0: '''batch''', 1: '''sequence'''}
      return OrderedDict(
          [
              ("input_ids", dynamic_axis),
              ("attention_mask", dynamic_axis),
          ]						)



'''simple docstring'''
from collections import defaultdict
class    lowercase	:

		"""simple docstring"""

		def __init__(		self    ,   UpperCamelCase_    ,   UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__   :List[Any]												= total  # total no of tasks (N)

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

							UpperCamelCase__   :str												= 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__   :Optional[int]												= (1 << len(UpperCamelCase_							)) - 1




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_							):

							'''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__   :str												= 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__   :Optional[int]												= total_ways_util

							return self.dp[mask][task_no]




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_							):

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

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