






"""simple docstring"""



from __future__ import annotations

from collections import deque




class 			lowerCAmelCase__			:
   def __init__(		self      :	Optional[Any]							,			snake_case__      :	list[str]							):


        '''simple docstring'''
        UpperCAmelCase__						:    list[dict]							=							[]
        self.adlist.append(
            {"value": "", "next_states": [], "fail_state": 0, "output": []}							)

        for keyword in keywords:
             self.add_keyword(snake_case__							)
        self.set_fail_transitions()
   def       __a							(		self      :	Optional[Any]							,			snake_case__      :	int							,			snake_case__      :	str							):


        '''simple docstring'''
        for state in self.adlist[current_state]["next_states"]:
             if char == self.adlist[state]["value"]:
                  return state
        return None
   def       __a							(		self      :	Dict							,			snake_case__      :	str							):


        '''simple docstring'''
        UpperCAmelCase__						:    str							=							0
        for character in keyword:
             UpperCAmelCase__						:    str							=							self.find_next_state(snake_case__							,			snake_case__							)
             if next_state is None:
                  self.adlist.append(
                      {
                          "value": character,
                          "next_states": [],
                          "fail_state": 0,
                          "output": [],
                      }							)
                  self.adlist[current_state]["next_states"].append(len(self.adlist							) - 1							)
                  UpperCAmelCase__						:    List[str]							=							len(self.adlist							) - 1
             else:
                  UpperCAmelCase__						:    Union[str, Any]							=							next_state
        self.adlist[current_state]["output"].append(snake_case__							)
   def       __a							(		self      :	int							):


        '''simple docstring'''
        UpperCAmelCase__						:    deque							=							deque()
        for node in self.adlist[0]["next_states"]:
             q.append(snake_case__							)
             UpperCAmelCase__						:    Tuple							=							0
        while q:
             UpperCAmelCase__						:    Any							=							q.popleft()
             for child in self.adlist[r]["next_states"]:
                  q.append(snake_case__							)
                  UpperCAmelCase__						:    Union[str, Any]							=							self.adlist[r]["fail_state"]
                  while (
                      self.find_next_state(snake_case__							,			self.adlist[child]["value"]							) is None
                      and state != 0
                  ):
                       UpperCAmelCase__						:    str							=							self.adlist[state]["fail_state"]
                  UpperCAmelCase__						:    Any							=							self.find_next_state(
                      snake_case__							,			self.adlist[child]["value"]							)
                  if self.adlist[child]["fail_state"] is None:
                       UpperCAmelCase__						:    Union[str, Any]							=							0
                  UpperCAmelCase__						:    Optional[Any]							=							(
                      self.adlist[child]["output"]
                      + self.adlist[self.adlist[child]["fail_state"]]["output"]
                  )




   def       __a							(		self      :	List[str]							,			snake_case__      :	str							):


        '''simple docstring'''
        UpperCAmelCase__						:    dict							=							{}  # returns a dict with keywords and list of its occurrences
        UpperCAmelCase__						:    str							=							0
        for i in range(len(snake_case__							)							):
             while (
                 self.find_next_state(snake_case__							,			string[i]							) is None
                 and current_state != 0
             ):
                  UpperCAmelCase__						:    Any							=							self.adlist[current_state]["fail_state"]
             UpperCAmelCase__						:    List[str]							=							self.find_next_state(snake_case__							,			string[i]							)
             if next_state is None:
                  UpperCAmelCase__						:    Optional[int]							=							0
             else:
                  UpperCAmelCase__						:    Any							=							next_state
                  for key in self.adlist[current_state]["output"]:
                       if key not in result:
                            UpperCAmelCase__						:    Union[str, Any]							=							[]
                       result[key].append(i - len(snake_case__							) + 1							)
        return result


if __name__ == "__main__":
 import doctest

 doctest.testmod()










"""simple docstring"""



from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCAmelCase	:	Optional[int]				=      logging.get_logger(__name__)

_lowerCAmelCase	:	Tuple				=      {
    """uw-madison/mra-base-512-4""": """https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json""",
}




class 			lowerCAmelCase__			(    __magic_name__   ):
   SCREAMING_SNAKE_CASE_    ='''mra'''
   def __init__(		self      :	Any							,			snake_case__      :	List[str]=5_0_2_6_5							,			snake_case__      :	Any=7_6_8							,			snake_case__      :	Union[str, Any]=1_2							,			snake_case__      :	Optional[Any]=1_2							,			snake_case__      :	Tuple=3_0_7_2							,			snake_case__      :	str="gelu"							,			snake_case__      :	Any=0.1							,			snake_case__      :	Tuple=0.1							,			snake_case__      :	Tuple=5_1_2							,			snake_case__      :	Union[str, Any]=1							,			snake_case__      :	List[Any]=0.02							,			snake_case__      :	str=1e-5							,			snake_case__      :	List[Any]="absolute"							,			snake_case__      :	str=4							,			snake_case__      :	List[str]="full"							,			snake_case__      :	Tuple=0							,			snake_case__      :	Any=0							,			snake_case__      :	Union[str, Any]=1							,			snake_case__      :	int=0							,			snake_case__      :	int=2							,			**snake_case__      :	List[Any]							,			):


        '''simple docstring'''
        super().__init__(pad_token_id=snake_case__							,			bos_token_id=snake_case__							,			eos_token_id=snake_case__							,			**snake_case__							)

        UpperCAmelCase__						:    List[Any]							=							vocab_size
        UpperCAmelCase__						:    str							=							max_position_embeddings
        UpperCAmelCase__						:    Any							=							hidden_size
        UpperCAmelCase__						:    Union[str, Any]							=							num_hidden_layers
        UpperCAmelCase__						:    str							=							num_attention_heads
        UpperCAmelCase__						:    int							=							intermediate_size
        UpperCAmelCase__						:    int							=							hidden_act
        UpperCAmelCase__						:    List[str]							=							hidden_dropout_prob
        UpperCAmelCase__						:    List[str]							=							attention_probs_dropout_prob
        UpperCAmelCase__						:    Any							=							initializer_range
        UpperCAmelCase__						:    Any							=							type_vocab_size
        UpperCAmelCase__						:    Dict							=							layer_norm_eps
        UpperCAmelCase__						:    Tuple							=							position_embedding_type
        UpperCAmelCase__						:    List[str]							=							block_per_row
        UpperCAmelCase__						:    Optional[Any]							=							approx_mode
        UpperCAmelCase__						:    Any							=							initial_prior_first_n_blocks
        UpperCAmelCase__						:    List[Any]							=							initial_prior_diagonal_n_blocks


