


'''simple docstring'''







import argparse

import torch

from transformers import YosoConfig, YosoForMaskedLM


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	List[str]  )  ->			List[str]:
       if "model" in orig_key:
              _a    : str     					=orig_key.replace("""model."""    ,""""""  )
       if "norm1" in orig_key:
              _a    : List[str]     					=orig_key.replace("""norm1"""    ,"""attention.output.LayerNorm"""  )
       if "norm2" in orig_key:
              _a    : int     					=orig_key.replace("""norm2"""    ,"""output.LayerNorm"""  )
       if "norm" in orig_key:
              _a    : List[Any]     					=orig_key.replace("""norm"""    ,"""LayerNorm"""  )
       if "transformer" in orig_key:
              _a    : Optional[int]     					=orig_key.split("""."""  )[0].split("""_"""  )[-1]
              _a    : Dict     					=orig_key.replace(F"transformer_{layer_num}"    ,F"encoder.layer.{layer_num}"  )
       if "mha.attn" in orig_key:
              _a    : int     					=orig_key.replace("""mha.attn"""    ,"""attention.self"""  )
       if "mha" in orig_key:
              _a    : Any     					=orig_key.replace("""mha"""    ,"""attention"""  )
       if "W_q" in orig_key:
              _a    : Optional[Any]     					=orig_key.replace("""W_q"""    ,"""self.query"""  )
       if "W_k" in orig_key:
              _a    : Any     					=orig_key.replace("""W_k"""    ,"""self.key"""  )
       if "W_v" in orig_key:
              _a    : Tuple     					=orig_key.replace("""W_v"""    ,"""self.value"""  )
       if "ff1" in orig_key:
              _a    : List[Any]     					=orig_key.replace("""ff1"""    ,"""intermediate.dense"""  )
       if "ff2" in orig_key:
              _a    : str     					=orig_key.replace("""ff2"""    ,"""output.dense"""  )
       if "ff" in orig_key:
              _a    : int     					=orig_key.replace("""ff"""    ,"""output.dense"""  )
       if "mlm_class" in orig_key:
              _a    : Optional[int]     					=orig_key.replace("""mlm.mlm_class"""    ,"""cls.predictions.decoder"""  )
       if "mlm" in orig_key:
              _a    : Dict     					=orig_key.replace("""mlm"""    ,"""cls.predictions.transform"""  )
       if "cls" not in orig_key:
              _a    : int     					="""yoso.""" + orig_key

       return orig_key


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Any    ,_UpperCAmelCase	:	Dict  )  ->			Dict:
       for key in orig_state_dict.copy().keys():
              _a    : Union[str, Any]     					=orig_state_dict.pop(_UpperCAmelCase  )

              if ("pooler" in key) or ("sen_class" in key):
                     continue
              else:
                     _a    : Optional[int]     					=val

       _a    : Optional[int]     					=orig_state_dict["""cls.predictions.decoder.bias"""]
       _a    : Optional[Any]     					=torch.arange(_UpperCAmelCase  ).expand((1, -1)  ) + 2

       return orig_state_dict


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	List[str]    ,_UpperCAmelCase	:	int    ,_UpperCAmelCase	:	Optional[int]  )  ->			Dict:
       _a    : Any     					=torch.load(_UpperCAmelCase    ,map_location="""cpu"""  )["""model_state_dict"""]
       _a    : List[str]     					=YosoConfig.from_json_file(_UpperCAmelCase  )
       _a    : Union[str, Any]     					=YosoForMaskedLM(_UpperCAmelCase  )

       _a    : Union[str, Any]     					=convert_checkpoint_helper(config.max_position_embeddings    ,_UpperCAmelCase  )

       print(model.load_state_dict(_UpperCAmelCase  )  )
       model.eval()
       model.save_pretrained(_UpperCAmelCase  )

       print(F"Checkpoint successfuly converted. Model saved at {pytorch_dump_path}"  )


if __name__ == "__main__":
   A__:    List[Any]					    =       argparse.ArgumentParser()
   # Required parameters
   parser.add_argument(
       '''--pytorch_model_path''', default=None, type=str, required=True, help='''Path to YOSO pytorch checkpoint.'''
   )
   parser.add_argument(
       '''--config_file''',
       default=None,
       type=str,
       required=True,
       help='''The json file for YOSO model config.''',
   )
   parser.add_argument(
       '''--pytorch_dump_path''', default=None, type=str, required=True, help='''Path to the output PyTorch model.'''
   )
   A__:    List[str]					    =       parser.parse_args()
   convert_yoso_checkpoint(args.pytorch_model_path, args.config_file, args.pytorch_dump_path)






'''simple docstring'''







class A__       :






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




             '''simple docstring'''
             _a    : Tuple     					=0
             _a    : Any     					=0
             _a    : int     					={}






      def __UpperCAmelCase       ( self			:Any     ,						SCREAMING_SNAKE_CASE			:List[str]	)       ->					Optional[int]:




             '''simple docstring'''
             if vertex not in self.adjacency:
                    _a    : Dict     					={}
                    self.num_vertices += 1






      def __UpperCAmelCase       ( self			:Optional[Any]     ,						SCREAMING_SNAKE_CASE			:str     ,						SCREAMING_SNAKE_CASE			:str     ,						SCREAMING_SNAKE_CASE			:Any	)       ->					List[str]:




             '''simple docstring'''
             self.add_vertex(SCREAMING_SNAKE_CASE	)
             self.add_vertex(SCREAMING_SNAKE_CASE	)

             if head == tail:
                    return

             _a    : Any     					=weight
             _a    : Tuple     					=weight






      def __UpperCAmelCase       ( self			:Dict	)       ->					Optional[int]:




             '''simple docstring'''
             _a    : Union[str, Any]     					=self.get_edges()
             for edge in edges:
                    _a					,    _a					,    _a    : List[str]     					=edge
                    edges.remove((tail, head, weight)	)
             for i in range(len(SCREAMING_SNAKE_CASE	)	):
                    _a    : str     					=list(edges[i]	)

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






      def __str__( self			:int	)       ->					str:




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






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




             '''simple docstring'''
             _a    : Union[str, Any]     					=[]
             for tail in self.adjacency:
                    for head in self.adjacency[tail]:
                           output.append((tail, head, self.adjacency[head][tail])	)
             return output






      def __UpperCAmelCase       ( self			:List[Any]	)       ->					List[Any]:




             '''simple docstring'''
             return self.adjacency.keys()






      @staticmethod
      def __UpperCAmelCase       ( SCREAMING_SNAKE_CASE			:Dict=None     ,						SCREAMING_SNAKE_CASE			:List[Any]=None	)       ->					Optional[int]:




             '''simple docstring'''
             _a    : str     					=Graph()
             if vertices is None:
                    _a    : Union[str, Any]     					=[]
             if edges is None:
                    _a    : List[Any]     					=[]
             for vertex in vertices:
                    g.add_vertex(SCREAMING_SNAKE_CASE	)
             for edge in edges:
                    g.add_edge(*SCREAMING_SNAKE_CASE	)
             return g







      class A__       :






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




                   '''simple docstring'''
                   _a    : Optional[int]     					={}
                   _a    : List[str]     					={}






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




                   '''simple docstring'''
                   return len(self.parent	)






            def __UpperCAmelCase       ( self			:Tuple     ,						SCREAMING_SNAKE_CASE			:Tuple	)       ->					Dict:




                   '''simple docstring'''
                   if item in self.parent:
                          return self.find(SCREAMING_SNAKE_CASE	)

                   _a    : Optional[Any]     					=item
                   _a    : List[str]     					=0
                   return item






            def __UpperCAmelCase       ( self			:int     ,						SCREAMING_SNAKE_CASE			:Dict	)       ->					List[str]:




                   '''simple docstring'''
                   if item not in self.parent:
                          return self.make_set(SCREAMING_SNAKE_CASE	)
                   if item != self.parent[item]:
                          _a    : str     					=self.find(self.parent[item]	)
                   return self.parent[item]






            def __UpperCAmelCase       ( self			:Optional[int]     ,						SCREAMING_SNAKE_CASE			:Tuple     ,						SCREAMING_SNAKE_CASE			:List[Any]	)       ->					Optional[Any]:




                   '''simple docstring'''
                   _a    : Optional[int]     					=self.find(SCREAMING_SNAKE_CASE	)
                   _a    : Dict     					=self.find(SCREAMING_SNAKE_CASE	)

                   if roota == roota:
                          return roota

                   if self.rank[roota] > self.rank[roota]:
                          _a    : Any     					=roota
                          return roota

                   if self.rank[roota] < self.rank[roota]:
                          _a    : List[str]     					=roota
                          return roota

                   if self.rank[roota] == self.rank[roota]:
                          self.rank[roota] += 1
                          _a    : List[Any]     					=roota
                          return roota
                   return None






      @staticmethod
      def __UpperCAmelCase       ( SCREAMING_SNAKE_CASE			:Dict	)       ->					Union[str, Any]:




             '''simple docstring'''
             _a    : Any     					=graph.num_vertices

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

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

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


