


'''simple docstring'''






import os
from typing import List, Optional, Union

from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging


a_   :      List[str]				    =      logging.get_logger(__name__)

a_   :      Any				    =      {"vocab_file": "vocab.txt"}

a_   :      Tuple				    =      {
    "vocab_file": {
        "facebook/esm2_t6_8M_UR50D": "https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt",
        "facebook/esm2_t12_35M_UR50D": "https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt",
    },
}

a_   :      Optional[int]				    =      {
    "facebook/esm2_t6_8M_UR50D": 1_0_2_4,
    "facebook/esm2_t12_35M_UR50D": 1_0_2_4,
}






def 		_A			(lowerCAmelCase__					:int						)				->					str:




     '''simple docstring'''



     with open(lowerCAmelCase__			,  'r'						) as f:
          _a      =							f.read().splitlines()
          return [l.strip() for l in lines]






class 	a       (       _SCREAMING_SNAKE_CASE    ):
 _lowerCAmelCase	   =		VOCAB_FILES_NAMES
 _lowerCAmelCase	   =		PRETRAINED_VOCAB_FILES_MAP
 _lowerCAmelCase	   =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCAmelCase	   =		["""input_ids""", """attention_mask"""]
 def __init__(	self ,			__magic_name__ ,			__magic_name__="<unk>" ,			__magic_name__="<cls>" ,			__magic_name__="<pad>" ,			__magic_name__="<mask>" ,			__magic_name__="<eos>" ,			**__magic_name__ ,			)   ->							Any:
      super().__init__(**__magic_name__  )
      _a      =							load_vocab_file(__magic_name__  )
      _a      =							dict(enumerate(self.all_tokens  )  )
      _a      =							{tok: ind for ind, tok in enumerate(self.all_tokens  )}
      _a      =							unk_token
      _a      =							cls_token
      _a      =							pad_token
      _a      =							mask_token
      _a      =							eos_token
      _a      =							self.all_tokens
      self._create_trie(self.unique_no_split_tokens  )
 def 							__UpperCAmelCase						(	self ,			__magic_name__  )   ->							str:
      return self._id_to_token.get(__magic_name__ ,			self.unk_token  )
 def 							__UpperCAmelCase						(	self ,			__magic_name__  )   ->							int:
      return self._token_to_id.get(__magic_name__ ,			self._token_to_id.get(self.unk_token  )  )
 def 							__UpperCAmelCase						(	self ,			__magic_name__ ,			**__magic_name__  )   ->							Optional[Any]:
      return text.split()
 def 							__UpperCAmelCase						(	self ,			__magic_name__=False  )   ->							Optional[int]:
      return len(self._id_to_token  )
 def 							__UpperCAmelCase						(	self  )   ->							List[str]:
      return {token: i for i, token in enumerate(self.all_tokens  )}
 def 							__UpperCAmelCase						(	self ,			__magic_name__  )   ->							int:
      return self._token_to_id.get(__magic_name__ ,			self._token_to_id.get(self.unk_token  )  )
 def 							__UpperCAmelCase						(	self ,			__magic_name__  )   ->							str:
      return self._id_to_token.get(__magic_name__ ,			self.unk_token  )
 def 							__UpperCAmelCase						(	self ,			__magic_name__ ,			__magic_name__ = None  )   ->							List[int]:
      _a      =							[self.cls_token_id]
      _a      =							[self.eos_token_id]  # No sep token in ESM vocabulary
      if token_ids_a is None:
           if self.eos_token_id is None:
                return cls + token_ids_a
           else:
                return cls + token_ids_a + sep
      elif self.eos_token_id is None:
           raise ValueError('Cannot tokenize multiple sequences when EOS token is not set!'  )
      return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token
 def 							__UpperCAmelCase						(	self ,			__magic_name__ ,			__magic_name__ = None ,			__magic_name__ = False  )   ->							List[int]:
      if already_has_special_tokens:
           if token_ids_a is not None:
                raise ValueError(
                    'You should not supply a second sequence if the provided sequence of '
                    'ids is already formatted with special tokens for the model.'  )

           return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
      _a      =							[1] + ([0] * len(__magic_name__  )) + [1]
      if token_ids_a is not None:
           mask += [0] * len(__magic_name__  ) + [1]
      return mask
 def 							__UpperCAmelCase						(	self ,			__magic_name__ ,			__magic_name__  )   ->							Union[str, Any]:
      _a      =							os.path.join(__magic_name__ ,			(filename_prefix + '-' if filename_prefix else '') + 'vocab.txt'  )
      with open(__magic_name__ ,			'w'  ) as f:
           f.write('\n'.join(self.all_tokens  )  )
      return (vocab_file,)
 @property
 def 							__UpperCAmelCase						(	self  )   ->							int:
      return self.get_vocab_size(with_added_tokens=__magic_name__  )




 def 							__UpperCAmelCase						(	self ,			__magic_name__ ,			__magic_name__ = False  )   ->							int:
      return super()._add_tokens(__magic_name__ ,			special_tokens=__magic_name__  )





'''simple docstring'''






from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

a_   :      Optional[Any]				    =      TypeVar("T")






def 		_A			(lowerCAmelCase__					:int						)				->					int:




     '''simple docstring'''



     return (position - 1) // 2






def 		_A			(lowerCAmelCase__					:int						)				->					int:




     '''simple docstring'''



     return (2 * position) + 1






def 		_A			(lowerCAmelCase__					:int						)				->					int:




     '''simple docstring'''



     return (2 * position) + 2




class 	a       (       Generic[T]    ):
 def __init__(	self  )   ->							None:
      _a      =							[]
      _a      =							{}
      _a      =							0
 def __len__(	self  )   ->							int:
      return self.elements
 def __repr__(	self  )   ->							str:
      return str(self.heap  )
 def 							__UpperCAmelCase						(	self  )   ->							bool:
      # Check if the priority queue is empty
      return self.elements == 0
 def 							__UpperCAmelCase						(	self ,			__magic_name__ ,			__magic_name__  )   ->							None:
      # Add an element with given priority to the queue
      self.heap.append((elem, weight)  )
      _a      =							self.elements
      self.elements += 1
      self._bubble_up(__magic_name__  )
 def 							__UpperCAmelCase						(	self  )   ->							T:
      # Remove and return the element with lowest weight (highest priority)
      if self.elements > 1:
           self._swap_nodes(0 ,			self.elements - 1  )
      _a ,				_a      =							self.heap.pop()
      del self.position_map[elem]
      self.elements -= 1
      if self.elements > 0:
           _a ,				_a      =							self.heap[0]
           self._bubble_down(__magic_name__  )
      return elem
 def 							__UpperCAmelCase						(	self ,			__magic_name__ ,			__magic_name__  )   ->							None:
      # Update the weight of the given key
      _a      =							self.position_map[elem]
      _a      =							(elem, weight)
      if position > 0:
           _a      =							get_parent_position(__magic_name__  )
           _a ,				_a      =							self.heap[parent_position]
           if parent_weight > weight:
                self._bubble_up(__magic_name__  )
           else:
                self._bubble_down(__magic_name__  )
      else:
           self._bubble_down(__magic_name__  )
 def 							__UpperCAmelCase						(	self ,			__magic_name__  )   ->							None:
      # Place a node at the proper position (upward movement) [to be used internally
      # only]
      _a      =							self.position_map[elem]
      if curr_pos == 0:
           return None
      _a      =							get_parent_position(__magic_name__  )
      _a ,				_a      =							self.heap[curr_pos]
      _a ,				_a      =							self.heap[parent_position]
      if parent_weight > weight:
           self._swap_nodes(__magic_name__ ,			__magic_name__  )
           return self._bubble_up(__magic_name__  )
      return None
 def 							__UpperCAmelCase						(	self ,			__magic_name__  )   ->							None:
      # Place a node at the proper position (downward movement) [to be used
      # internally only]
      _a      =							self.position_map[elem]
      _a ,				_a      =							self.heap[curr_pos]
      _a      =							get_child_left_position(__magic_name__  )
      _a      =							get_child_right_position(__magic_name__  )
      if child_left_position < self.elements and child_right_position < self.elements:
           _a ,				_a      =							self.heap[child_left_position]
           _a ,				_a      =							self.heap[child_right_position]
           if child_right_weight < child_left_weight and child_right_weight < weight:
                self._swap_nodes(__magic_name__ ,			__magic_name__  )
                return self._bubble_down(__magic_name__  )
      if child_left_position < self.elements:
           _a ,				_a      =							self.heap[child_left_position]
           if child_left_weight < weight:
                self._swap_nodes(__magic_name__ ,			__magic_name__  )
                return self._bubble_down(__magic_name__  )
      else:
           return None
      if child_right_position < self.elements:
           _a ,				_a      =							self.heap[child_right_position]
           if child_right_weight < weight:
                self._swap_nodes(__magic_name__ ,			__magic_name__  )
                return self._bubble_down(__magic_name__  )
      return None




 def 							__UpperCAmelCase						(	self ,			__magic_name__ ,			__magic_name__  )   ->							None:
      # Swap the nodes at the given positions
      _a      =							self.heap[nodea_pos][0]
      _a      =							self.heap[nodea_pos][0]
      _a ,				_a      =							(
          self.heap[nodea_pos],
          self.heap[nodea_pos],
      )
      _a      =							nodea_pos
      _a      =							nodea_pos





class 	a       (       Generic[T]    ):
 def __init__(	self  )   ->							None:
      _a      =							{}
      _a      =							0
 def __repr__(	self  )   ->							str:
      return str(self.connections  )
 def __len__(	self  )   ->							int:
      return self.nodes
 def 							__UpperCAmelCase						(	self ,			__magic_name__  )   ->							None:
      # Add a node in the graph if it is not in the graph
      if node not in self.connections:
           _a      =							{}
           self.nodes += 1




 def 							__UpperCAmelCase						(	self ,			__magic_name__ ,			__magic_name__ ,			__magic_name__  )   ->							None:
      # Add an edge between 2 nodes in the graph
      self.add_node(__magic_name__  )
      self.add_node(__magic_name__  )
      _a      =							weight
      _a      =							weight






def 		_A			(lowerCAmelCase__					:GraphUndirectedWeighted[T]			,  )				->					tuple[dict[T, int], dict[T, T | None]]:




     '''simple docstring'''



     _a      =							{node: maxsize for node in graph.connections}
     _a      =							{node: None for node in graph.connections}

     _a      =							MinPriorityQueue()
     for node, weight in dist.items():
          priority_queue.push(lowerCAmelCase__			,  lowerCAmelCase__						)

     if priority_queue.is_empty():
          return dist, parent

     # initialization
     _a      =							priority_queue.extract_min()
     _a      =							0
     for neighbour in graph.connections[node]:
          if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
               _a      =							dist[node] + graph.connections[node][neighbour]
               priority_queue.update_key(lowerCAmelCase__			,  dist[neighbour]						)
               _a      =							node

    # running prim's algorithm
     while not priority_queue.is_empty():
          _a      =							priority_queue.extract_min()
          for neighbour in graph.connections[node]:
               if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
                    _a      =							dist[node] + graph.connections[node][neighbour]
                    priority_queue.update_key(lowerCAmelCase__			,  dist[neighbour]						)
                    _a      =							node
     return dist, parent

