



"""simple docstring"""
class     a		:



  def __init__(  self       :    Any						)   ->    int:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       Optional[Any]   	=0
     SCREAMING_SNAKE_CASE_:       List[str]   	=0
     SCREAMING_SNAKE_CASE_:       int   	={}



  def 		lowerCamelCase__				(  self       :    Optional[int]				,						lowerCAmelCase       :    Union[str, Any]						)   ->    Optional[Any]:


     '''simple docstring'''




     if vertex not in self.adjacency:
        SCREAMING_SNAKE_CASE_:       Optional[Any]   	={}
        self.num_vertices += 1



  def 		lowerCamelCase__				(  self       :    List[str]				,						lowerCAmelCase       :    Tuple				,						lowerCAmelCase       :    Tuple				,						lowerCAmelCase       :    List[Any]						)   ->    Tuple:


     '''simple docstring'''




     self.add_vertex(lowercase_						)
     self.add_vertex(lowercase_						)

     if head == tail:
        return

     SCREAMING_SNAKE_CASE_:       Optional[Any]   	=weight
     SCREAMING_SNAKE_CASE_:       Optional[int]   	=weight



  def 		lowerCamelCase__				(  self       :    str						)   ->    str:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       Optional[int]   	=self.get_edges()
     for edge in edges:
        SCREAMING_SNAKE_CASE_	,						SCREAMING_SNAKE_CASE_	,						SCREAMING_SNAKE_CASE_:       Optional[int]   	=edge
        edges.remove((tail, head, weight)						)
     for i in range(len(lowercase_						)						):
        SCREAMING_SNAKE_CASE_:       Optional[int]   	=list(edges[i]						)

     edges.sort(key=lambda lowerCAmelCase						: e[2]						)
     for i in range(len(lowercase_						) - 1						):
        if edges[i][2] >= edges[i + 1][2]:
           SCREAMING_SNAKE_CASE_:       Tuple   	=edges[i][2] + 1
     for edge in edges:
        SCREAMING_SNAKE_CASE_	,						SCREAMING_SNAKE_CASE_	,						SCREAMING_SNAKE_CASE_:       Tuple   	=edge
        SCREAMING_SNAKE_CASE_:       Tuple   	=weight
        SCREAMING_SNAKE_CASE_:       List[Any]   	=weight



  def __str__(  self       :    Dict						)   ->    Any:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       List[str]   	=""""""
     for tail in self.adjacency:
        for head in self.adjacency[tail]:
           SCREAMING_SNAKE_CASE_:       int   	=self.adjacency[head][tail]
           string += f'''{head} -> {tail} == {weight}\n'''
     return string.rstrip("""\n"""						)



  def 		lowerCamelCase__				(  self       :    int						)   ->    Union[str, Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       Optional[int]   	=[]
     for tail in self.adjacency:
        for head in self.adjacency[tail]:
           output.append((tail, head, self.adjacency[head][tail])						)
     return output



  def 		lowerCamelCase__				(  self       :    Optional[Any]						)   ->    List[str]:


     '''simple docstring'''




     return self.adjacency.keys()



  @staticmethod
  def 		lowerCamelCase__				(  lowerCAmelCase       :    Union[str, Any]=None				,						lowerCAmelCase       :    Optional[int]=None						)   ->    Optional[Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       Union[str, Any]   	=Graph()
     if vertices is None:
        SCREAMING_SNAKE_CASE_:       Optional[Any]   	=[]
     if edges is None:
        SCREAMING_SNAKE_CASE_:       List[str]   	=[]
     for vertex in vertices:
        g.add_vertex(lowercase_						)
     for edge in edges:
        g.add_edge(*lowercase_						)
     return g
  class     a		:



    def __init__(  self       :    Union[str, Any]						)   ->    Optional[int]:


       '''simple docstring'''




       SCREAMING_SNAKE_CASE_:       List[str]   	={}
       SCREAMING_SNAKE_CASE_:       Optional[Any]   	={}



    def __len__(  self       :    Optional[int]						)   ->    List[Any]:


       '''simple docstring'''




       return len(self.parent						)



    def 		lowerCamelCase__				(  self       :    Tuple				,						lowerCAmelCase       :    Tuple						)   ->    List[str]:


       '''simple docstring'''




       if item in self.parent:
          return self.find(lowercase_						)

       SCREAMING_SNAKE_CASE_:       List[Any]   	=item
       SCREAMING_SNAKE_CASE_:       str   	=0
       return item



    def 		lowerCamelCase__				(  self       :    List[str]				,						lowerCAmelCase       :    int						)   ->    Dict:


       '''simple docstring'''




       if item not in self.parent:
          return self.make_set(lowercase_						)
       if item != self.parent[item]:
          SCREAMING_SNAKE_CASE_:       Any   	=self.find(self.parent[item]						)
       return self.parent[item]





    def 		lowerCamelCase__				(  self       :    List[Any]				,						lowerCAmelCase       :    Optional[int]				,						lowerCAmelCase       :    List[str]						)   ->    Union[str, Any]:


       '''simple docstring'''




       SCREAMING_SNAKE_CASE_:       Any   	=self.find(lowercase_						)
       SCREAMING_SNAKE_CASE_:       Tuple   	=self.find(lowercase_						)

       if roota == roota:
          return roota

       if self.rank[roota] > self.rank[roota]:
          SCREAMING_SNAKE_CASE_:       str   	=roota
          return roota

       if self.rank[roota] < self.rank[roota]:
          SCREAMING_SNAKE_CASE_:       Optional[Any]   	=roota
          return roota

       if self.rank[roota] == self.rank[roota]:
          self.rank[roota] += 1
          SCREAMING_SNAKE_CASE_:       Tuple   	=roota
          return roota
       return None







  @staticmethod
  def 		lowerCamelCase__				(  lowerCAmelCase       :    int						)   ->    Dict:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       Optional[Any]   	=graph.num_vertices

     SCREAMING_SNAKE_CASE_:       Any   	=Graph.UnionFind()
     SCREAMING_SNAKE_CASE_:       int   	=[]
     while num_components > 1:
        SCREAMING_SNAKE_CASE_:       Optional[Any]   	={}
        for vertex in graph.get_vertices():
           SCREAMING_SNAKE_CASE_:       int   	=-1

        SCREAMING_SNAKE_CASE_:       Optional[Any]   	=graph.get_edges()
        for edge in edges:
           SCREAMING_SNAKE_CASE_	,						SCREAMING_SNAKE_CASE_	,						SCREAMING_SNAKE_CASE_:       List[str]   	=edge
           edges.remove((tail, head, weight)						)
        for edge in edges:
           SCREAMING_SNAKE_CASE_	,						SCREAMING_SNAKE_CASE_	,						SCREAMING_SNAKE_CASE_:       Optional[int]   	=edge
           SCREAMING_SNAKE_CASE_:       Dict   	=union_find.find(lowercase_						)
           SCREAMING_SNAKE_CASE_:       Union[str, Any]   	=union_find.find(lowercase_						)
           if seta != seta:
              if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
                 SCREAMING_SNAKE_CASE_:       Dict   	=[head, tail, weight]

              if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
                 SCREAMING_SNAKE_CASE_:       Tuple   	=[head, tail, weight]
        for vertex in cheap_edge:
           if cheap_edge[vertex] != -1:
              SCREAMING_SNAKE_CASE_	,						SCREAMING_SNAKE_CASE_	,						SCREAMING_SNAKE_CASE_:       Tuple   	=cheap_edge[vertex]
              if union_find.find(lowercase_						) != union_find.find(lowercase_						):
                 union_find.union(lowercase_				,						lowercase_						)
                 mst_edges.append(cheap_edge[vertex]						)
                 SCREAMING_SNAKE_CASE_:       Optional[Any]   	=num_components - 1
     SCREAMING_SNAKE_CASE_:       int   	=Graph.build(edges=lowercase_						)
     return mst










'''simple docstring'''

import warnings

from transformers import AutoTokenizer
from transformers.utils import is_torch_available
from transformers.utils.generic import ExplicitEnum

from ...processing_utils import ProcessorMixin


if is_torch_available():
  import torch






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				"""char"""
 __lowercase   		=				"""bpe"""
 __lowercase   		=				"""wp"""

__lowerCAmelCase							:	Union[str, Any]			=(DecodeType.CHARACTER, DecodeType.BPE, DecodeType.WORDPIECE)






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				["""image_processor""", """char_tokenizer"""]
 __lowercase   		=				"""ViTImageProcessor"""
 __lowercase   		=				"""MgpstrTokenizer"""
 def __init__(				self      :int						,       lowercase_      :int=None						,       lowercase_      :List[str]=None						,       **lowercase_      :List[Any]							)->							Optional[Any]:
     A__				=			None
     if "feature_extractor" in kwargs:
         warnings.warn(
             "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
             " instead."						,       lowercase_						,       )
         A__				=			kwargs.pop("feature_extractor"							)

     A__				=			image_processor if image_processor is not None else feature_extractor
     if image_processor is None:
         raise ValueError("You need to specify an `image_processor`."							)
     if tokenizer is None:
         raise ValueError("You need to specify a `tokenizer`."							)

     A__				=			tokenizer
     A__				=			AutoTokenizer.from_pretrained("gpt2"							)
     A__				=			AutoTokenizer.from_pretrained("bert-base-uncased"							)

     super().__init__(lowercase_						,       lowercase_							)
 def __call__(				self      :Optional[Any]						,       lowercase_      :Any=None						,       lowercase_      :Tuple=None						,       lowercase_      :List[str]=None						,       **lowercase_      :Union[str, Any]							)->							Optional[Any]:
     if images is None and text is None:
         raise ValueError("You need to specify either an `images` or `text` input to process."							)

     if images is not None:
         A__				=			self.image_processor(lowercase_						,       return_tensors=lowercase_						,       **lowercase_							)
     if text is not None:
         A__				=			self.char_tokenizer(lowercase_						,       return_tensors=lowercase_						,       **lowercase_							)

     if text is None:
         return inputs
     elif images is None:
         return encodings
     else:
         A__				=			encodings["input_ids"]
         return inputs
 def      UpperCAmelCase_							(				self      :List[str]						,       lowercase_      :int							)->							int:
     A__,	A__,	A__				=			sequences
     A__				=			char_preds.size(0							)

     A__,	A__				=			self._decode_helper(lowercase_						,       "char"							)
     A__,	A__				=			self._decode_helper(lowercase_						,       "bpe"							)
     A__,	A__				=			self._decode_helper(lowercase_						,       "wp"							)

     A__				=			[]
     A__				=			[]
     for i in range(lowercase_							):
         A__				=			[char_scores[i], bpe_scores[i], wp_scores[i]]
         A__				=			[char_strs[i], bpe_strs[i], wp_strs[i]]
         A__				=			scores.index(max(lowercase_							)							)
         final_strs.append(strs[max_score_index]							)
         final_scores.append(scores[max_score_index]							)

     A__				=			{}
     A__				=			final_strs
     A__				=			final_scores
     A__				=			char_strs
     A__				=			bpe_strs
     A__				=			wp_strs
     return out
 def      UpperCAmelCase_							(				self      :Union[str, Any]						,       lowercase_      :List[str]						,       lowercase_      :str							)->							Optional[Any]:
     if format == DecodeType.CHARACTER:
         A__				=			self.char_decode
         A__				=			1
         A__				=			"[s]"
     elif format == DecodeType.BPE:
         A__				=			self.bpe_decode
         A__				=			2
         A__				=			"#"
     elif format == DecodeType.WORDPIECE:
         A__				=			self.wp_decode
         A__				=			1_02
         A__				=			"[SEP]"
     else:
         raise ValueError(F"Format {format} is not supported."							)

     A__,	A__				=			[], []
     A__				=			pred_logits.size(0							)
     A__				=			pred_logits.size(1							)
     A__,	A__				=			pred_logits.topk(1						,       dim=-1						,       largest=lowercase_						,       sorted=lowercase_							)
     A__				=			preds_index.view(-1						,       lowercase_							)[:, 1:]
     A__				=			decoder(lowercase_							)
     A__,	A__				=			torch.nn.functional.softmax(lowercase_						,       dim=2							).max(dim=2							)
     A__				=			preds_max_prob[:, 1:]

     for index in range(lowercase_							):
         A__				=			preds_str[index].find(lowercase_							)
         A__				=			preds_str[index][:pred_eos]
         A__				=			preds_index[index].cpu().tolist()
         A__				=			pred_index.index(lowercase_							) if eos_token in pred_index else -1
         A__				=			preds_max_prob[index][: pred_eos_index + 1]
         A__				=			pred_max_prob.cumprod(dim=0							)[-1] if pred_max_prob.nelement() != 0 else 0.0
         dec_strs.append(lowercase_							)
         conf_scores.append(lowercase_							)

     return dec_strs, conf_scores
 def      UpperCAmelCase_							(				self      :Dict						,       lowercase_      :Optional[Any]							)->							int:
     A__				=			[seq.replace(" "						,       ""							) for seq in self.char_tokenizer.batch_decode(lowercase_							)]
     return decode_strs
 def      UpperCAmelCase_							(				self      :List[Any]						,       lowercase_      :Optional[Any]							)->							List[str]:
     return self.bpe_tokenizer.batch_decode(lowercase_							)



 def      UpperCAmelCase_							(				self      :Optional[int]						,       lowercase_      :List[str]							)->							Union[str, Any]:
     A__				=			[seq.replace(" "						,       ""							) for seq in self.wp_tokenizer.batch_decode(lowercase_							)]
     return decode_strs



