
'''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

						lowercase__						       =      True
except (ImportError, AttributeError):
						lowercase__						       =      object




						def    _UpperCamelCase						(       *SCREAMING_SNAKE_CASE__ ,       **SCREAMING_SNAKE_CASE__			)  ->							str:


								'''simple docstring'''


								pass




						lowercase__						       =      False


lowercase__						       =      logging.get_logger("transformers-cli/serving")




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							Optional[int]:


		'''simple docstring'''


		snake_case  :       List[str]     			=						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__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						42







class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						42
		lowerCamelCase     							=						42







class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						42







class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						42







class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		@staticmethod
		def       lowerCAmelCase				(      UpperCamelCase__				:			ArgumentParser      )						->			Optional[int]:






				"""simple docstring"""







				snake_case  :       Tuple     			=						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=8888  ,	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				:			Optional[int]  ,	UpperCamelCase__				:			Pipeline  ,	UpperCamelCase__				:			str  ,	UpperCamelCase__				:			int  ,	UpperCamelCase__				:			int      )						->			Any:






				"""simple docstring"""







				snake_case  :       Dict     			=						pipeline

				snake_case  :       Dict     			=						host
				snake_case  :       Optional[Any]     			=						port
				snake_case  :       Optional[Any]     			=						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}'      )
						snake_case  :       List[str]     			=						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=600  ,	)



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






				"""simple docstring"""







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



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






				"""simple docstring"""







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



		def       lowerCAmelCase				(      self				:			Dict  ,	UpperCamelCase__				:			str = Body(UpperCamelCase__  ,	embed=UpperCamelCase__      )  ,	UpperCamelCase__				:			bool = Body(UpperCamelCase__  ,	embed=UpperCamelCase__      )      )						->			str:






				"""simple docstring"""







				try:
						snake_case  :       Optional[int]     			=						self._pipeline.tokenizer.tokenize(UpperCamelCase__      )

						if return_ids:
								snake_case  :       Optional[int]     			=						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=500  ,	detail={'''model''': '''''', '''error''': str(UpperCamelCase__      )}      )



		def       lowerCAmelCase				(      self				:			int  ,	UpperCamelCase__				:			List[int] = Body(UpperCamelCase__  ,	embed=UpperCamelCase__      )  ,	UpperCamelCase__				:			bool = Body(UpperCamelCase__  ,	embed=UpperCamelCase__      )  ,	UpperCamelCase__				:			bool = Body(UpperCamelCase__  ,	embed=UpperCamelCase__      )  ,	)						->			List[str]:






				"""simple docstring"""







				try:
						snake_case  :       List[str]     			=						self._pipeline.tokenizer.decode(UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__      )
						return ServeDeTokenizeResult(model=''''''  ,	text=UpperCamelCase__      )
				except Exception as e:
						raise HTTPException(status_code=500  ,	detail={'''model''': '''''', '''error''': str(UpperCamelCase__      )}      )



		async def       lowerCAmelCase				(      self				:			Any  ,	UpperCamelCase__				:			List[str]=Body(UpperCamelCase__  ,	embed=UpperCamelCase__      )      )						->			Tuple:






				"""simple docstring"""







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

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




'''simple docstring'''
from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

lowercase__						       =      TypeVar("T")






class 	snake_case__       (      Generic[T]					):







		"""simple docstring"""

		def __init__(      self				:			str  ,	UpperCamelCase__				:			list[T]  ,	UpperCamelCase__				:			Callable[[T, T], T]      )						->			None:






				"""simple docstring"""







				snake_case  :       Any | T     			=						None

				snake_case  :       int     			=						len(UpperCamelCase__      )
				snake_case  :       list[T]     			=						[any_type for _ in range(self.N      )] + arr
				snake_case  :       Optional[int]     			=						fnc
				self.build()



		def       lowerCAmelCase				(      self				:			Optional[Any]      )						->			None:






				"""simple docstring"""







				for p in range(self.N - 1  ,	0  ,	-1      ):
						snake_case  :       List[Any]     			=						self.fn(self.st[p * 2]  ,	self.st[p * 2 + 1]      )



		def       lowerCAmelCase				(      self				:			List[Any]  ,	UpperCamelCase__				:			int  ,	UpperCamelCase__				:			T      )						->			None:






				"""simple docstring"""







				p += self.N
				snake_case  :       int     			=						v
				while p > 1:
						snake_case  :       List[Any]     			=						p // 2
						snake_case  :       List[Any]     			=						self.fn(self.st[p * 2]  ,	self.st[p * 2 + 1]      )



		def       lowerCAmelCase				(      self				:			Union[str, Any]  ,	UpperCamelCase__				:			int  ,	UpperCamelCase__				:			int      )						->			T | None:  # noqa: E741






				"""simple docstring"""







				snake_case			,snake_case  :       Union[str, Any]     			=						l + self.N, r + self.N

				snake_case  :       T | None     			=						None
				while l <= r:
						if l % 2 == 1:
								snake_case  :       str     			=						self.st[l] if res is None else self.fn(UpperCamelCase__  ,	self.st[l]      )
						if r % 2 == 0:
								snake_case  :       Tuple     			=						self.st[r] if res is None else self.fn(UpperCamelCase__  ,	self.st[r]      )
						snake_case			,snake_case  :       Dict     			=						(l + 1) // 2, (r - 1) // 2
				return res


if __name__ == "__main__":
						from functools import reduce

						lowercase__						       =      [1, 1_0, -2, 9, -3, 8, 4, -7, 5, 6, 1_1, -1_2]

						lowercase__						       =      {
						    0: 7,
						    1: 2,
						    2: 6,
						    3: -1_4,
						    4: 5,
						    5: 4,
						    6: 7,
						    7: -1_0,
						    8: 9,
						    9: 1_0,
						    1_0: 1_2,
						    1_1: 1,
						}

						lowercase__						       =      SegmentTree(test_array, min)
						lowercase__						       =      SegmentTree(test_array, max)
						lowercase__						       =      SegmentTree(test_array, lambda a, b: a + b)




						def    _UpperCamelCase						(       )  ->							None:


								'''simple docstring'''


								for i in range(len(SCREAMING_SNAKE_CASE__			)			):
										for j in range(SCREAMING_SNAKE_CASE__ ,       len(SCREAMING_SNAKE_CASE__			)			):
												snake_case  :       int     			=						reduce(SCREAMING_SNAKE_CASE__ ,       test_array[i : j + 1]			)
												snake_case  :       List[str]     			=						reduce(SCREAMING_SNAKE_CASE__ ,       test_array[i : j + 1]			)
												snake_case  :       Tuple     			=						reduce(lambda SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			: a + b ,       test_array[i : j + 1]			)
												assert min_range == min_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)
												assert max_range == max_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)
												assert sum_range == sum_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)

						test_all_segments()

						for index, value in test_updates.items():
												lowercase__						       =      value
												min_segment_tree.update(index, value)
												max_segment_tree.update(index, value)
												sum_segment_tree.update(index, value)
												test_all_segments()


