

"""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

   _a :    List[str]							=							True
except (ImportError, AttributeError):
   _a :    List[str]							=							object




   def   _A  (  *UpperCamelCase_					:	Tuple,      **UpperCamelCase_					:	Tuple)     ->						Dict:
      '''simple docstring'''


      pass

   _a :    str							=							False


_a :    Any							=							logging.get_logger('transformers-cli/serving')




def   _A  (  UpperCamelCase_					:	Namespace)     ->						Any:
   '''simple docstring'''


   __lowercase								=						pipeline(
       task=args.task,      model=args.model if args.model else None,      config=args.config,      tokenizer=args.tokenizer,      device=args.device,      )
   return ServeCommand(UpperCamelCase_,      args.host,      args.port,      args.workers)




class  _lowerCAmelCase  (     lowercase       ):







 """simple docstring"""







 __UpperCAmelCase     : dict







class  _lowerCAmelCase  (     lowercase       ):







 """simple docstring"""







 __UpperCAmelCase     : List[str]
 __UpperCAmelCase     : Optional[List[int]]







class  _lowerCAmelCase  (     lowercase       ):







 """simple docstring"""







 __UpperCAmelCase     : str







class  _lowerCAmelCase  (     lowercase       ):







 """simple docstring"""







 __UpperCAmelCase     : Any







class  _lowerCAmelCase  (     lowercase       ):







 """simple docstring"""







 @staticmethod
 def  _lowercase			(      UpperCAmelCase__							:      ArgumentParser     ):
    __lowercase								=						parser.add_parser(
        "serve", help="CLI tool to run inference requests through REST and GraphQL endpoints."     )
    serve_parser.add_argument(
        "--task", type=UpperCAmelCase__, choices=get_supported_tasks(), help="The task to run the pipeline on", )
    serve_parser.add_argument("--host", type=UpperCAmelCase__, default="localhost", help="Interface the server will listen on."     )
    serve_parser.add_argument("--port", type=UpperCAmelCase__, default=8_8_8_8, help="Port the serving will listen to."     )
    serve_parser.add_argument("--workers", type=UpperCAmelCase__, default=1, help="Number of http workers"     )
    serve_parser.add_argument("--model", type=UpperCAmelCase__, help="Model's name or path to stored model."     )
    serve_parser.add_argument("--config", type=UpperCAmelCase__, help="Model's config name or path to stored model."     )
    serve_parser.add_argument("--tokenizer", type=UpperCAmelCase__, help="Tokenizer name to use."     )
    serve_parser.add_argument(
        "--device", type=UpperCAmelCase__, default=-1, help="Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)", )
    serve_parser.set_defaults(func=UpperCAmelCase__     )


 def __init__(      self							:      str, UpperCAmelCase__							:      Pipeline, UpperCAmelCase__							:      str, UpperCAmelCase__							:      int, UpperCAmelCase__							:      int     ):
    __lowercase								=						pipeline

    __lowercase								=						host
    __lowercase								=						port
    __lowercase								=						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}"""     )
       __lowercase								=						FastAPI(
           routes=[
               APIRoute(
                   "/", self.model_info, response_model=UpperCAmelCase__, response_class=UpperCAmelCase__, methods=["GET"], ),
               APIRoute(
                   "/tokenize", self.tokenize, response_model=UpperCAmelCase__, response_class=UpperCAmelCase__, methods=["POST"], ),
               APIRoute(
                   "/detokenize", self.detokenize, response_model=UpperCAmelCase__, response_class=UpperCAmelCase__, methods=["POST"], ),
               APIRoute(
                   "/forward", self.forward, response_model=UpperCAmelCase__, response_class=UpperCAmelCase__, methods=["POST"], ),
           ], timeout=6_0_0, )


 def  _lowercase			(      self							:      int     ):
    run(self._app, host=self.host, port=self.port, workers=self.workers     )


 def  _lowercase			(      self							:      Any     ):
    return ServeModelInfoResult(infos=vars(self._pipeline.model.config     )     )


 def  _lowercase			(      self							:      Dict, UpperCAmelCase__							:      str = Body(UpperCAmelCase__, embed=UpperCAmelCase__     ), UpperCAmelCase__							:      bool = Body(UpperCAmelCase__, embed=UpperCAmelCase__     )     ):
    try:
       __lowercase								=						self._pipeline.tokenizer.tokenize(UpperCAmelCase__     )

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

    except Exception as e:
       raise HTTPException(status_code=5_0_0, detail={"model": "", "error": str(UpperCAmelCase__     )}     )


 def  _lowercase			(      self							:      Tuple, UpperCAmelCase__							:      List[int] = Body(UpperCAmelCase__, embed=UpperCAmelCase__     ), UpperCAmelCase__							:      bool = Body(UpperCAmelCase__, embed=UpperCAmelCase__     ), UpperCAmelCase__							:      bool = Body(UpperCAmelCase__, embed=UpperCAmelCase__     ), ):
    try:
       __lowercase								=						self._pipeline.tokenizer.decode(UpperCAmelCase__, UpperCAmelCase__, UpperCAmelCase__     )
       return ServeDeTokenizeResult(model="", text=UpperCAmelCase__     )
    except Exception as e:
       raise HTTPException(status_code=5_0_0, detail={"model": "", "error": str(UpperCAmelCase__     )}     )



 async def  _lowercase			(      self							:      Tuple, UpperCAmelCase__							:      str=Body(UpperCAmelCase__, embed=UpperCAmelCase__     )     ):

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

    try:
       # Forward through the model
       __lowercase								=						self._pipeline(UpperCAmelCase__     )
       return ServeForwardResult(output=UpperCAmelCase__     )
    except Exception as e:
       raise HTTPException(5_0_0, {"error": str(UpperCAmelCase__     )}     )







"""simple docstring"""





from __future__ import annotations

from typing import Any




class  _lowerCAmelCase  :







 """simple docstring"""







 def __init__(      self							:      Union[str, Any], UpperCAmelCase__							:      int     ):
    __lowercase								=						num_of_nodes
    __lowercase								=						[]
    __lowercase								=						{}


 def  _lowercase			(      self							:      Tuple, UpperCAmelCase__							:      int, UpperCAmelCase__							:      int, UpperCAmelCase__							:      int     ):
    self.m_edges.append([u_node, v_node, weight]     )


 def  _lowercase			(      self							:      Dict, UpperCAmelCase__							:      int     ):

    if self.m_component[u_node] == u_node:
       return u_node
    return self.find_component(self.m_component[u_node]     )


 def  _lowercase			(      self							:      Dict, UpperCAmelCase__							:      int     ):

    if self.m_component[u_node] != u_node:
       for k in self.m_component:
          __lowercase								=						self.find_component(UpperCAmelCase__     )


 def  _lowercase			(      self							:      str, UpperCAmelCase__							:      list[int], UpperCAmelCase__							:      int, UpperCAmelCase__							:      int     ):

    if component_size[u_node] <= component_size[v_node]:
       __lowercase								=						v_node
       component_size[v_node] += component_size[u_node]
       self.set_component(UpperCAmelCase__     )

    elif component_size[u_node] >= component_size[v_node]:
       __lowercase								=						self.find_component(UpperCAmelCase__     )
       component_size[u_node] += component_size[v_node]
       self.set_component(UpperCAmelCase__     )



 def  _lowercase			(      self							:      Tuple     ):
    __lowercase								=						[]
    __lowercase								=						0

    __lowercase								=						[-1] * self.m_num_of_nodes

    # A list of components (initialized to all of the nodes)
    for node in range(self.m_num_of_nodes     ):
       self.m_component.update({node: node}     )
       component_size.append(1     )

    __lowercase								=						self.m_num_of_nodes

    while num_of_components > 1:
       for edge in self.m_edges:
          __lowercase		,__lowercase		,__lowercase								=						edge

          __lowercase								=						self.m_component[u]
          __lowercase								=						self.m_component[v]

          if u_component != v_component:

             for component in (u_component, v_component):
                if (
                    minimum_weight_edge[component] == -1
                    or minimum_weight_edge[component][2] > w
                ):
                   __lowercase								=						[u, v, w]

       for edge in minimum_weight_edge:
          if isinstance(UpperCAmelCase__, UpperCAmelCase__     ):
             __lowercase		,__lowercase		,__lowercase								=						edge

             __lowercase								=						self.m_component[u]
             __lowercase								=						self.m_component[v]

             if u_component != v_component:
                mst_weight += w
                self.union(UpperCAmelCase__, UpperCAmelCase__, UpperCAmelCase__     )
                print(F"""Added edge [{u} - {v}]\nAdded weight: {w}\n"""     )
                num_of_components -= 1

       __lowercase								=						[-1] * self.m_num_of_nodes
    print(F"""The total weight of the minimal spanning tree is: {mst_weight}"""     )







def   _A  (  )     ->						None:
   '''simple docstring'''




if __name__ == "__main__":
   import doctest

   doctest.testmod()




