





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

      _UpperCAmelCase :    Optional[Any]             =							True
except (ImportError, AttributeError):
      _UpperCAmelCase :    List[str]             =							object






      def 	_SCREAMING_SNAKE_CASE		(      *SCREAMING_SNAKE_CASE		:int   ,   **SCREAMING_SNAKE_CASE		:Optional[Any]   )      ->   int:
       pass







      _UpperCAmelCase :    List[Any]             =							False


_UpperCAmelCase :    Optional[Any]             =							logging.get_logger('transformers-cli/serving')






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:Namespace   )      ->   Optional[Any]:
 __lowerCAmelCase					:	Optional[Any]      =       pipeline(
     task=args.task   ,   model=args.model if args.model else None   ,   config=args.config   ,   tokenizer=args.tokenizer   ,   device=args.device   ,   )
 return ServeCommand(SCREAMING_SNAKE_CASE   ,   args.host   ,   args.port   ,   args.workers   )






class        snake_case_    (		__lowercase						):
  A_      							=   42






class        snake_case_    (		__lowercase						):
  A_      							=   42
  A_      							=   42






class        snake_case_    (		__lowercase						):
  A_      							=   42






class        snake_case_    (		__lowercase						):
  A_      							=   42






class        snake_case_    (		__lowercase						):






  @staticmethod
  def 				UpperCAmelCase__						(							_snake_case			:					ArgumentParser      )->str:






   '''simple docstring'''

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






  def __init__(							self			:					Any       ,  _snake_case			:					Pipeline       ,  _snake_case			:					str       ,  _snake_case			:					int       ,  _snake_case			:					int      )->Any:






   '''simple docstring'''

   __lowerCAmelCase					:	Tuple      =       pipeline

   __lowerCAmelCase					:	Any      =       host
   __lowerCAmelCase					:	List[str]      =       port
   __lowerCAmelCase					:	Dict      =       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}'''      )
    __lowerCAmelCase					:	Optional[int]      =       FastAPI(
        routes=[
            APIRoute(
                """/"""       ,  self.model_info       ,  response_model=_snake_case       ,  response_class=_snake_case       ,  methods=["""GET"""]       ,  ),
            APIRoute(
                """/tokenize"""       ,  self.tokenize       ,  response_model=_snake_case       ,  response_class=_snake_case       ,  methods=["""POST"""]       ,  ),
            APIRoute(
                """/detokenize"""       ,  self.detokenize       ,  response_model=_snake_case       ,  response_class=_snake_case       ,  methods=["""POST"""]       ,  ),
            APIRoute(
                """/forward"""       ,  self.forward       ,  response_model=_snake_case       ,  response_class=_snake_case       ,  methods=["""POST"""]       ,  ),
        ]       ,  timeout=600       ,  )






  def 				UpperCAmelCase__						(							self			:					Tuple      )->Optional[Any]:






   '''simple docstring'''

   run(self._app       ,  host=self.host       ,  port=self.port       ,  workers=self.workers      )






  def 				UpperCAmelCase__						(							self			:					str      )->Any:






   '''simple docstring'''

   return ServeModelInfoResult(infos=vars(self._pipeline.model.config      )      )






  def 				UpperCAmelCase__						(							self			:					str       ,  _snake_case			:					str = Body(_snake_case       ,  embed=_snake_case      )       ,  _snake_case			:					bool = Body(_snake_case       ,  embed=_snake_case      )      )->int:






   '''simple docstring'''

   try:
    __lowerCAmelCase					:	Optional[int]      =       self._pipeline.tokenizer.tokenize(_snake_case      )

    if return_ids:
     __lowerCAmelCase					:	Dict      =       self._pipeline.tokenizer.convert_tokens_to_ids(_snake_case      )
     return ServeTokenizeResult(tokens=_snake_case       ,  tokens_ids=_snake_case      )
    else:
     return ServeTokenizeResult(tokens=_snake_case      )

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






  def 				UpperCAmelCase__						(							self			:					Optional[int]       ,  _snake_case			:					List[int] = Body(_snake_case       ,  embed=_snake_case      )       ,  _snake_case			:					bool = Body(_snake_case       ,  embed=_snake_case      )       ,  _snake_case			:					bool = Body(_snake_case       ,  embed=_snake_case      )       ,  )->Optional[int]:






   '''simple docstring'''

   try:
    __lowerCAmelCase					:	str      =       self._pipeline.tokenizer.decode(_snake_case       ,  _snake_case       ,  _snake_case      )
    return ServeDeTokenizeResult(model=""""""       ,  text=_snake_case      )
   except Exception as e:
    raise HTTPException(status_code=500       ,  detail={"""model""": """""", """error""": str(_snake_case      )}      )






  async def 				UpperCAmelCase__						(							self			:					Any       ,  _snake_case			:					Optional[int]=Body(_snake_case       ,  embed=_snake_case      )      )->List[str]:






   '''simple docstring'''

   if len(_snake_case      ) == 0:
    return ServeForwardResult(output=[]       ,  attention=[]      )

   try:
    # Forward through the model
    __lowerCAmelCase					:	Optional[Any]      =       self._pipeline(_snake_case      )
    return ServeForwardResult(output=_snake_case      )
   except Exception as e:
    raise HTTPException(500       ,  {"""error""": str(_snake_case      )}      )






from __future__ import annotations

import time

import numpy as np

_UpperCAmelCase             =							[8, 5, 9, 7]
_UpperCAmelCase             =							[
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
_UpperCAmelCase             =							[
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]






class        snake_case_    :






  def __init__(							self			:					Union[str, Any]       ,  _snake_case			:					list[int]       ,  _snake_case			:					list[list[int]]       ,  _snake_case			:					list[list[int]]       ,  )->None:






   '''simple docstring'''

   __lowerCAmelCase					:	str      =       claim_vector
   __lowerCAmelCase					:	List[Any]      =       allocated_resources_table
   __lowerCAmelCase					:	str      =       maximum_claim_table






  def 				UpperCAmelCase__						(							self			:					Tuple      )->list[int]:






   '''simple docstring'''

   return [
       sum(p_item[i] for p_item in self.__allocated_resources_table      )
       for i in range(len(self.__allocated_resources_table[0]      )      )
   ]






  def 				UpperCAmelCase__						(							self			:					int      )->list[int]:






   '''simple docstring'''

   return np.array(self.__claim_vector      ) - np.array(
       self.__processes_resource_summation()      )






  def 				UpperCAmelCase__						(							self			:					Optional[int]      )->list[list[int]]:






   '''simple docstring'''

   return [
       list(np.array(self.__maximum_claim_table[i]      ) - np.array(_snake_case      )      )
       for i, allocated_resource in enumerate(self.__allocated_resources_table      )
   ]






  def 				UpperCAmelCase__						(							self			:					Union[str, Any]      )->dict[int, list[int]]:






   '''simple docstring'''

   return {self.__need().index(_snake_case      ): i for i in self.__need()}






  def 				UpperCAmelCase__						(							self			:					Dict       ,  **_snake_case			:					Optional[Any]      )->None:






   '''simple docstring'''

   __lowerCAmelCase					:	Optional[int]      =       self.__need()
   __lowerCAmelCase					:	Any      =       self.__allocated_resources_table
   __lowerCAmelCase					:	List[Any]      =       self.__available_resources()
   __lowerCAmelCase					:	Optional[Any]      =       self.__need_index_manager()
   for kw, val in kwargs.items():
    if kw and val is True:
     self.__pretty_data()
   print("""_""" * 50 + """\n"""      )
   while need_list:
    __lowerCAmelCase					:	Optional[Any]      =       False
    for each_need in need_list:
     __lowerCAmelCase					:	Optional[int]      =       True
     for index, need in enumerate(_snake_case      ):
      if need > available_resources[index]:
       __lowerCAmelCase					:	int      =       False
       break
     if execution:
      __lowerCAmelCase					:	int      =       True
      # get the original index of the process from ind_ctrl db
      for original_need_index, need_clone in need_index_manager.items():
       if each_need == need_clone:
        __lowerCAmelCase					:	Any      =       original_need_index
      print(F'''Process {process_number + 1} is executing.'''      )
      # remove the process run from stack
      need_list.remove(_snake_case      )
      # update available/freed resources stack
      __lowerCAmelCase					:	int      =       np.array(_snake_case      ) + np.array(
          alloc_resources_table[process_number]      )
      print(
          """Updated available resource stack for processes: """
          + """ """.join([str(_snake_case      ) for x in available_resources]      )      )
      break
    if safe:
     print("""The process is in a safe state.\n"""      )
    else:
     print("""System in unsafe state. Aborting...\n"""      )
     break






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






   '''simple docstring'''

   print(""" """ * 9 + """Allocated Resource Table"""      )
   for item in self.__allocated_resources_table:
    print(
        F'''P{self.__allocated_resources_table.index(_snake_case      ) + 1}'''
        + """ """.join(F'''{it:>8}''' for it in item      )
        + """\n"""      )
   print(""" """ * 9 + """System Resource Table"""      )
   for item in self.__maximum_claim_table:
    print(
        F'''P{self.__maximum_claim_table.index(_snake_case      ) + 1}'''
        + """ """.join(F'''{it:>8}''' for it in item      )
        + """\n"""      )
   print(
       """Current Usage by Active Processes: """
       + """ """.join(str(_snake_case      ) for x in self.__claim_vector      )      )
   print(
       """Initial Available Resources:       """
       + """ """.join(str(_snake_case      ) for x in self.__available_resources()      )      )
   time.sleep(1      )


if __name__ == "__main__":
      import doctest

      doctest.testmod()