



"""simple docstring"""

from __future__ import annotations

from collections import deque




class        _UpperCAmelCase       :

 def __init__(     self		:       Union[str, Any]  ,     lowercase_		:       List[str]				):
     snake_case_ :     list[dict]				=	[]
     self.adlist.append(
         {'''value''': '''''', '''next_states''': [], '''fail_state''': 0, '''output''': []}				)

     for keyword in keywords:
         self.add_keyword(a_				)
     self.set_fail_transitions()

 def 						_snake_case					(     self		:       Tuple  ,     lowercase_		:       List[str]  ,     lowercase_		:       Any				):
     for state in self.adlist[current_state]["next_states"]:
         if char == self.adlist[state]["value"]:
             return state
     return None

 def 						_snake_case					(     self		:       Dict  ,     lowercase_		:       Optional[int]				):
     snake_case_ :     List[Any]				=	0
     for character in keyword:
         snake_case_ :     Optional[Any]				=	self.find_next_state(a_  ,     a_				)
         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				)
             snake_case_ :     Union[str, Any]				=	len(self.adlist				) - 1
         else:
             snake_case_ :     Any				=	next_state
     self.adlist[current_state]["output"].append(a_				)

 def 						_snake_case					(     self		:       Dict				):
     snake_case_ :     deque				=	deque()
     for node in self.adlist[0]["next_states"]:
         q.append(a_				)
         snake_case_ :     Optional[int]				=	0
     while q:
         snake_case_ :     List[str]				=	q.popleft()
         for child in self.adlist[r]["next_states"]:
             q.append(a_				)
             snake_case_ :     Dict				=	self.adlist[r]["""fail_state"""]
             while (
                 self.find_next_state(a_  ,     self.adlist[child]['''value''']				) is None
                 and state != 0
             ):
                 snake_case_ :     Dict				=	self.adlist[state]["""fail_state"""]
             snake_case_ :     Optional[Any]				=	self.find_next_state(
                 a_  ,     self.adlist[child]['''value''']				)
             if self.adlist[child]["fail_state"] is None:
                 snake_case_ :     List[Any]				=	0
             snake_case_ :     int				=	(
                 self.adlist[child]["""output"""]
                 + self.adlist[self.adlist[child]["""fail_state"""]]["""output"""]
             )






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


if __name__ == "__main__":
     import doctest

     doctest.testmod()










'''simple docstring'''






from torch import nn



class 							lowercase       (  nn.Module				):


 """simple docstring"""


 def __init__(							self  ,a_  ,a_							)		->   List[Any]:
        super().__init__()
        _UpperCAmelCase  :						Dict			     = class_size
        _UpperCAmelCase  :						Union[str, Any]			     = embed_size
        # self.mlp1 = nn.Linear(embed_size, embed_size)
        # self.mlp2 = (nn.Linear(embed_size, class_size))
        _UpperCAmelCase  :						List[Any]			     = nn.Linear(a_  ,a_							)







 def _snake_case (							self  ,a_							)		->   Tuple:
        # hidden_state = nn.functional.relu(self.mlp1(hidden_state))
        # hidden_state = self.mlp2(hidden_state)
        _UpperCAmelCase  :						Optional[int]			     = self.mlp(a_							)
        return logits



