




"""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__				(       *snake_case__ ,				**snake_case__       )		->      str:
						pass


			lowerCAmelCase							:    Union[str, Any]  							=							False


lowerCAmelCase							:    str  							=							logging.get_logger("""transformers-cli/serving""")



def 					a__				(       snake_case__       )		->      Dict:
			lowerCamelCase       =      pipeline(
			    task=args.task ,				model=args.model if args.model else None ,				config=args.config ,				tokenizer=args.tokenizer ,				device=args.device ,				)
			return ServeCommand(snake_case__ ,				args.host ,				args.port ,				args.workers       )






class 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''
				__UpperCamelCase    						=		42






class 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''
				__UpperCamelCase    						=		42
				__UpperCamelCase    						=		42






class 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''
				__UpperCamelCase    						=		42






class 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''
				__UpperCamelCase    						=		42






class 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''





				@staticmethod
				def      _lowerCAmelCase       ( _a				):





							"""simple docstring"""
							lowerCamelCase       =      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=8_888	,				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				):





							"""simple docstring"""
							lowerCamelCase       =      pipeline

							lowerCamelCase       =      host
							lowerCamelCase       =      port
							lowerCamelCase       =      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       =      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      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							run(self._app	,				host=self.host	,				port=self.port	,				workers=self.workers				)





				def      _lowerCAmelCase       ( self				):





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





				def      _lowerCAmelCase       ( self	,				_a = Body(_a	,				embed=_a				)	,				_a = Body(_a	,				embed=_a				)				):





							"""simple docstring"""
							try:
										lowerCamelCase       =      self._pipeline.tokenizer.tokenize(_a				)

										if return_ids:
													lowerCamelCase       =      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      _lowerCAmelCase       ( self	,				_a = Body(_a	,				embed=_a				)	,				_a = Body(_a	,				embed=_a				)	,				_a = Body(_a	,				embed=_a				)	,				):





							"""simple docstring"""
							try:
										lowerCamelCase       =      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      _lowerCAmelCase       ( self	,				_a=Body(_a	,				embed=_a				)				):





							"""simple docstring"""

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

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









"""simple docstring"""




from collections.abc import Sequence



def 					a__				(       snake_case__ ,				snake_case__ = False       )		->      float:
			if not arr:
						return 0

			lowerCamelCase       =      0 if allow_empty_subarrays else float("""-inf"""       )
			lowerCamelCase       =      0.0
			for num in arr:
						lowerCamelCase       =      max(0 if allow_empty_subarrays else num ,				curr_sum + num       )
						lowerCamelCase       =      max(snake_case__ ,				snake_case__       )

			return max_sum


if __name__ == "__main__":
					from doctest import testmod

					testmod()

					lowerCAmelCase							:    Optional[int]  							=							[-2, 1, -3, 4, -1, 2, 1, -5, 4]
					print(F"""{max_subarray_sum(nums) = }""")



