


"""simple docstring"""







from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional

from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand


try:
       from fastapi import Body, FastAPI, HTTPException
       from fastapi.routing import APIRoute
       from pydantic import BaseModel
       from starlette.responses import JSONResponse
       from uvicorn import run

       lowerCamelCase_   :   str									=  True
except (ImportError, AttributeError):
       lowerCamelCase_   :   Optional[Any]									=  object
       def _A						(						*lowercase       ,    **lowercase		):







           """simple docstring"""
           pass





       lowerCamelCase_   :   int									=  False


lowerCamelCase_   :   Dict									=  logging.get_logger("""transformers-cli/serving""")
def _A						(						lowercase		):







    """simple docstring"""
    a 		=pipeline(
        task=args.task       ,    model=args.model if args.model else None       ,    config=args.config       ,    tokenizer=args.tokenizer       ,    device=args.device       ,    )
    return ServeCommand(lowercase       ,    args.host       ,    args.port       ,    args.workers		)






class       __A				(       _SCREAMING_SNAKE_CASE			):






 """simple docstring"""




 __lowerCAmelCase 					=  42






class       __A				(       _SCREAMING_SNAKE_CASE			):






 """simple docstring"""




 __lowerCAmelCase 					=  42
 __lowerCAmelCase 					=  42






class       __A				(       _SCREAMING_SNAKE_CASE			):






 """simple docstring"""




 __lowerCAmelCase 					=  42






class       __A				(       _SCREAMING_SNAKE_CASE			):






 """simple docstring"""




 __lowerCAmelCase 					=  42






class       __A				(       _SCREAMING_SNAKE_CASE			):






 """simple docstring"""




 @staticmethod
 def       SCREAMING_SNAKE_CASE							(		__A						)					->     List[Any]:
     a 		=parser.add_parser(
         '''serve''' ,    help='''CLI tool to run inference requests through REST and GraphQL endpoints.'''						)
     serve_parser.add_argument(
         '''--task''' ,    type=__A ,    choices=get_supported_tasks() ,    help='''The task to run the pipeline on''' ,    )
     serve_parser.add_argument('''--host''' ,    type=__A ,    default='''localhost''' ,    help='''Interface the server will listen on.'''						)
     serve_parser.add_argument('''--port''' ,    type=__A ,    default=8888 ,    help='''Port the serving will listen to.'''						)
     serve_parser.add_argument('''--workers''' ,    type=__A ,    default=1 ,    help='''Number of http workers'''						)
     serve_parser.add_argument('''--model''' ,    type=__A ,    help='''Model\'s name or path to stored model.'''						)
     serve_parser.add_argument('''--config''' ,    type=__A ,    help='''Model\'s config name or path to stored model.'''						)
     serve_parser.add_argument('''--tokenizer''' ,    type=__A ,    help='''Tokenizer name to use.'''						)
     serve_parser.add_argument(
         '''--device''' ,    type=__A ,    default=-1 ,    help='''Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)''' ,    )
     serve_parser.set_defaults(func=__A						)


 def __init__(		self ,    __A ,    __A ,    __A ,    __A						)					->     List[str]:
     a 		=pipeline

     a 		=host
     a 		=port
     a 		=workers

     if not _serve_dependencies_installed:
         raise RuntimeError(
             '''Using serve command requires FastAPI and uvicorn. '''
             '''Please install transformers with [serving]: pip install "transformers[serving]".'''
             '''Or install FastAPI and uvicorn separately.'''						)
     else:
         logger.info(f'''Serving model over {host}:{port}'''						)
         a 		=FastAPI(
             routes=[
                 APIRoute(
                     '''/''' ,    self.model_info ,    response_model=__A ,    response_class=__A ,    methods=['''GET'''] ,    ),
                 APIRoute(
                     '''/tokenize''' ,    self.tokenize ,    response_model=__A ,    response_class=__A ,    methods=['''POST'''] ,    ),
                 APIRoute(
                     '''/detokenize''' ,    self.detokenize ,    response_model=__A ,    response_class=__A ,    methods=['''POST'''] ,    ),
                 APIRoute(
                     '''/forward''' ,    self.forward ,    response_model=__A ,    response_class=__A ,    methods=['''POST'''] ,    ),
             ] ,    timeout=600 ,    )


 def       SCREAMING_SNAKE_CASE							(		self						)					->     Optional[int]:
     run(self._app ,    host=self.host ,    port=self.port ,    workers=self.workers						)


 def       SCREAMING_SNAKE_CASE							(		self						)					->     List[str]:
     return ServeModelInfoResult(infos=vars(self._pipeline.model.config						)						)


 def       SCREAMING_SNAKE_CASE							(		self ,    __A = Body(__A ,    embed=__A						) ,    __A = Body(__A ,    embed=__A						)						)					->     str:
     try:
         a 		=self._pipeline.tokenizer.tokenize(__A						)

         if return_ids:
             a 		=self._pipeline.tokenizer.convert_tokens_to_ids(__A						)
             return ServeTokenizeResult(tokens=__A ,    tokens_ids=__A						)
         else:
             return ServeTokenizeResult(tokens=__A						)

     except Exception as e:
         raise HTTPException(status_code=500 ,    detail={'''model''': '''''', '''error''': str(__A						)}						)


 def       SCREAMING_SNAKE_CASE							(		self ,    __A = Body(__A ,    embed=__A						) ,    __A = Body(__A ,    embed=__A						) ,    __A = Body(__A ,    embed=__A						) ,    )					->     str:
     try:
         a 		=self._pipeline.tokenizer.decode(__A ,    __A ,    __A						)
         return ServeDeTokenizeResult(model='''''' ,    text=__A						)
     except Exception as e:
         raise HTTPException(status_code=500 ,    detail={'''model''': '''''', '''error''': str(__A						)}						)





 async def       SCREAMING_SNAKE_CASE							(		self ,    __A=Body(__A ,    embed=__A						)						)					->     Any:

     # Check we don't have empty string
     if len(__A						) == 0:
         return ServeForwardResult(output=[] ,    attention=[]						)

     try:
         # Forward through the model
         a 		=self._pipeline(__A						)
         return ServeForwardResult(output=__A						)
     except Exception as e:
         raise HTTPException(500 ,    {'''error''': str(__A						)}						)





class     __lowerCAmelCase :

			"""simple docstring"""







			def __init__(      self							)    ->      Any:



							'''simple docstring'''
							__lowerCamelCase		       =    0
							__lowerCamelCase		       =    0
							__lowerCamelCase		       =    {}


			def       lowercase_    (      self			,						lowerCamelCase__							)    ->      Tuple:



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


			def       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__							)    ->      str:



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

							if head == tail:
											return

							__lowerCamelCase		       =    weight
							__lowerCamelCase		       =    weight


			def       lowercase_    (      self							)    ->      List[str]:



							'''simple docstring'''
							__lowerCamelCase		       =    self.get_edges()
							for edge in edges:
											__lowerCamelCase       ,						__lowerCamelCase       ,						__lowerCamelCase		       =    edge
											edges.remove((tail, head, weight)							)
							for i in range(len(lowerCamelCase__							)							):
											__lowerCamelCase		       =    list(edges[i]							)

							edges.sort(key=lambda lowerCamelCase__							: e[2]							)
							for i in range(len(lowerCamelCase__							) - 1							):
											if edges[i][2] >= edges[i + 1][2]:
															__lowerCamelCase		       =    edges[i][2] + 1
							for edge in edges:
											__lowerCamelCase       ,						__lowerCamelCase       ,						__lowerCamelCase		       =    edge
											__lowerCamelCase		       =    weight
											__lowerCamelCase		       =    weight


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



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


			def       lowercase_    (      self							)    ->      Optional[Any]:



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


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



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


			@staticmethod
			def       lowercase_    (      lowerCamelCase__=None			,						lowerCamelCase__=None							)    ->      str:



							'''simple docstring'''
							__lowerCamelCase		       =    Graph()
							if vertices is None:
											__lowerCamelCase		       =    []
							if edges is None:
											__lowerCamelCase		       =    []
							for vertex in vertices:
											g.add_vertex(lowerCamelCase__							)
							for edge in edges:
											g.add_edge(*lowerCamelCase__							)
							return g







			class     __lowerCAmelCase :

						"""simple docstring"""







						def __init__(      self							)    ->      Tuple:



										'''simple docstring'''
										__lowerCamelCase		       =    {}
										__lowerCamelCase		       =    {}


						def __len__(      self							)    ->      Tuple:



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


						def       lowercase_    (      self			,						lowerCamelCase__							)    ->      List[Any]:



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

										__lowerCamelCase		       =    item
										__lowerCamelCase		       =    0
										return item


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



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






						def       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__							)    ->      int:



										'''simple docstring'''
										__lowerCamelCase		       =    self.find(lowerCamelCase__							)
										__lowerCamelCase		       =    self.find(lowerCamelCase__							)

										if roota == roota:
														return roota

										if self.rank[roota] > self.rank[roota]:
														__lowerCamelCase		       =    roota
														return roota

										if self.rank[roota] < self.rank[roota]:
														__lowerCamelCase		       =    roota
														return roota

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




			@staticmethod
			def       lowercase_    (      lowerCamelCase__							)    ->      str:



							'''simple docstring'''
							__lowerCamelCase		       =    graph.num_vertices

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

											__lowerCamelCase		       =    graph.get_edges()
											for edge in edges:
															__lowerCamelCase       ,						__lowerCamelCase       ,						__lowerCamelCase		       =    edge
															edges.remove((tail, head, weight)							)
											for edge in edges:
															__lowerCamelCase       ,						__lowerCamelCase       ,						__lowerCamelCase		       =    edge
															__lowerCamelCase		       =    union_find.find(lowerCamelCase__							)
															__lowerCamelCase		       =    union_find.find(lowerCamelCase__							)
															if seta != seta:
																			if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																							__lowerCamelCase		       =    [head, tail, weight]

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


