


'''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

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






					def 						UpperCAmelCase__(				*_SCREAMING_SNAKE_CASE					: Optional[int],**_SCREAMING_SNAKE_CASE					: List[str] ):






								"""simple docstring"""




								pass






					UpperCAmelCase__  			=				False


UpperCAmelCase__  			=				logging.get_logger('''transformers-cli/serving''')






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: Namespace ):






			"""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(_SCREAMING_SNAKE_CASE,args.host,args.port,args.workers )
class 						a__					(					a_   ):





			'''simple docstring'''

			A						:				dict


class 						a__					(					a_   ):





			'''simple docstring'''

			A						:				List[str]
			A						:				Optional[List[int]]


class 						a__					(					a_   ):





			'''simple docstring'''

			A						:				str


class 						a__					(					a_   ):





			'''simple docstring'''

			A						:				Any


class 						a__					(					a_   ):





			'''simple docstring'''

			@staticmethod
			def 					lowerCAmelCase     (  lowerCAmelCase_							:			ArgumentParser	)      ->		str:
						__A=	parser.add_parser(
						    'serve'			,    help='CLI tool to run inference requests through REST and GraphQL endpoints.'	)
						serve_parser.add_argument(
						    '--task'			,    type=lowerCAmelCase_			,    choices=get_supported_tasks()			,    help='The task to run the pipeline on'			,    )
						serve_parser.add_argument('--host'			,    type=lowerCAmelCase_			,    default='localhost'			,    help='Interface the server will listen on.'	)
						serve_parser.add_argument('--port'			,    type=lowerCAmelCase_			,    default=8_888			,    help='Port the serving will listen to.'	)
						serve_parser.add_argument('--workers'			,    type=lowerCAmelCase_			,    default=1			,    help='Number of http workers'	)
						serve_parser.add_argument('--model'			,    type=lowerCAmelCase_			,    help='Model\'s name or path to stored model.'	)
						serve_parser.add_argument('--config'			,    type=lowerCAmelCase_			,    help='Model\'s config name or path to stored model.'	)
						serve_parser.add_argument('--tokenizer'			,    type=lowerCAmelCase_			,    help='Tokenizer name to use.'	)
						serve_parser.add_argument(
						    '--device'			,    type=lowerCAmelCase_			,    default=-1			,    help='Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)'			,    )
						serve_parser.set_defaults(func=lowerCAmelCase_	)
			def __init__(  self							:			Any			,    lowerCAmelCase_							:			Pipeline			,    lowerCAmelCase_							:			str			,    lowerCAmelCase_							:			int			,    lowerCAmelCase_							:			int	)      ->		Any:
						__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=lowerCAmelCase_			,    response_class=lowerCAmelCase_			,    methods=['GET']			,    ),
									        APIRoute(
									            '/tokenize'			,    self.tokenize			,    response_model=lowerCAmelCase_			,    response_class=lowerCAmelCase_			,    methods=['POST']			,    ),
									        APIRoute(
									            '/detokenize'			,    self.detokenize			,    response_model=lowerCAmelCase_			,    response_class=lowerCAmelCase_			,    methods=['POST']			,    ),
									        APIRoute(
									            '/forward'			,    self.forward			,    response_model=lowerCAmelCase_			,    response_class=lowerCAmelCase_			,    methods=['POST']			,    ),
									    ]			,    timeout=600			,    )
			def 					lowerCAmelCase     (  self							:			str	)      ->		List[str]:
						run(self._app			,    host=self.host			,    port=self.port			,    workers=self.workers	)
			def 					lowerCAmelCase     (  self							:			str	)      ->		Tuple:
						return ServeModelInfoResult(infos=vars(self._pipeline.model.config	)	)
			def 					lowerCAmelCase     (  self							:			str			,    lowerCAmelCase_							:			str = Body(lowerCAmelCase_			,    embed=lowerCAmelCase_	)			,    lowerCAmelCase_							:			bool = Body(lowerCAmelCase_			,    embed=lowerCAmelCase_	)	)      ->		List[str]:
						try:
									__A=	self._pipeline.tokenizer.tokenize(lowerCAmelCase_	)

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

						except Exception as e:
									raise HTTPException(status_code=500			,    detail={'model': '', 'error': str(lowerCAmelCase_	)}	)
			def 					lowerCAmelCase     (  self							:			Optional[int]			,    lowerCAmelCase_							:			List[int] = Body(lowerCAmelCase_			,    embed=lowerCAmelCase_	)			,    lowerCAmelCase_							:			bool = Body(lowerCAmelCase_			,    embed=lowerCAmelCase_	)			,    lowerCAmelCase_							:			bool = Body(lowerCAmelCase_			,    embed=lowerCAmelCase_	)			,    )      ->		Dict:
						try:
									__A=	self._pipeline.tokenizer.decode(lowerCAmelCase_			,    lowerCAmelCase_			,    lowerCAmelCase_	)
									return ServeDeTokenizeResult(model=''			,    text=lowerCAmelCase_	)
						except Exception as e:
									raise HTTPException(status_code=500			,    detail={'model': '', 'error': str(lowerCAmelCase_	)}	)

			async def 					lowerCAmelCase     (  self							:			Tuple			,    lowerCAmelCase_							:			Optional[int]=Body(lowerCAmelCase_			,    embed=lowerCAmelCase_	)	)      ->		int:

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

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







'''simple docstring'''





class 						a__					:





			'''simple docstring'''

			def __init__(  self							:			Tuple			,    lowerCAmelCase_							:			Optional[Any]			,    lowerCAmelCase_							:			Dict	)      ->		List[str]:
						__A=	name
						__A=	val
			def __str__(  self							:			int	)      ->		List[Any]:
						return F"""{self.__class__.__name__}({self.name}, {self.val})"""

			def __lt__(  self							:			Optional[Any]			,    lowerCAmelCase_							:			str	)      ->		List[Any]:
						return self.val < other.val


class 						a__					:





			'''simple docstring'''

			def __init__(  self							:			Tuple			,    lowerCAmelCase_							:			int	)      ->		Any:
						__A=	{}
						__A=	{}
						__A=	self.build_heap(lowerCAmelCase_	)
			def __getitem__(  self							:			int			,    lowerCAmelCase_							:			Dict	)      ->		Tuple:
						return self.get_value(lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			Tuple			,    lowerCAmelCase_							:			List[str]	)      ->		List[str]:
						return (idx - 1) // 2
			def 					lowerCAmelCase     (  self							:			Union[str, Any]			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		List[str]:
						return idx * 2 + 1
			def 					lowerCAmelCase     (  self							:			Optional[Any]			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		Any:
						return idx * 2 + 2
			def 					lowerCAmelCase     (  self							:			str			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		Dict:
						return self.heap_dict[key]
			def 					lowerCAmelCase     (  self							:			List[Any]			,    lowerCAmelCase_							:			List[Any]	)      ->		Tuple:
						__A=	len(lowerCAmelCase_	) - 1
						__A=	self.get_parent_idx(lowerCAmelCase_	)

						for idx, i in enumerate(lowerCAmelCase_	):
									__A=	idx
									__A=	i.val

						for i in range(lowerCAmelCase_			,    -1			,    -1	):
									self.sift_down(lowerCAmelCase_			,    lowerCAmelCase_	)
						return array
			def 					lowerCAmelCase     (  self							:			int			,    lowerCAmelCase_							:			List[Any]			,    lowerCAmelCase_							:			Tuple	)      ->		Dict:
						while True:
									__A=	self.get_left_child_idx(lowerCAmelCase_	)  # noqa: E741
									__A=	self.get_right_child_idx(lowerCAmelCase_	)

									__A=	idx
									if l < len(lowerCAmelCase_	) and array[l] < array[idx]:
												__A=	l
									if r < len(lowerCAmelCase_	) and array[r] < array[smallest]:
												__A=	r

									if smallest != idx:
												__A,	__A=	array[smallest], array[idx]
												(
												    (
												    __A
												),	(
												    __A
												),	
												)=	(
												    self.idx_of_element[array[smallest]],
												    self.idx_of_element[array[idx]],
												)
												__A=	smallest
									else:
												break
			def 					lowerCAmelCase     (  self							:			Dict			,    lowerCAmelCase_							:			Dict	)      ->		str:
						__A=	self.get_parent_idx(lowerCAmelCase_	)
						while p >= 0 and self.heap[p] > self.heap[idx]:
									__A,	__A=	self.heap[idx], self.heap[p]
									__A,	__A=	(
									    self.idx_of_element[self.heap[idx]],
									    self.idx_of_element[self.heap[p]],
									)
									__A=	p
									__A=	self.get_parent_idx(lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			Optional[Any]	)      ->		Tuple:
						return self.heap[0]
			def 					lowerCAmelCase     (  self							:			List[Any]	)      ->		int:
						__A,	__A=	self.heap[-1], self.heap[0]
						__A,	__A=	(
						    self.idx_of_element[self.heap[-1]],
						    self.idx_of_element[self.heap[0]],
						)

						__A=	self.heap.pop()
						del self.idx_of_element[x]
						self.sift_down(0			,    self.heap	)
						return x
			def 					lowerCAmelCase     (  self							:			Optional[int]			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		Optional[int]:
						self.heap.append(lowerCAmelCase_	)
						__A=	len(self.heap	) - 1
						__A=	node.val
						self.sift_up(len(self.heap	) - 1	)
			def 					lowerCAmelCase     (  self							:			Optional[Any]	)      ->		Tuple:
						return len(self.heap	) == 0

			def 					lowerCAmelCase     (  self							:			Optional[int]			,    lowerCAmelCase_							:			List[Any]			,    lowerCAmelCase_							:			List[Any]	)      ->		Optional[Any]:
						assert (
						    self.heap[self.idx_of_element[node]].val > new_value
						), "newValue must be less that current value"
						__A=	new_value
						__A=	new_value
						self.sift_up(self.idx_of_element[node]	)


UpperCAmelCase__  			=				Node('''R''', -1)
UpperCAmelCase__  			=				Node('''B''', 6)
UpperCAmelCase__  			=				Node('''A''', 3)
UpperCAmelCase__  			=				Node('''X''', 1)
UpperCAmelCase__  			=				Node('''E''', 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
UpperCAmelCase__  			=				MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print('''Min Heap - before decrease key''')
for i in my_min_heap.heap:
					print(i)

print('''Min Heap - After decrease key of node [B -> -17]''')
my_min_heap.decrease_key(b, -1_7)

# After
for i in my_min_heap.heap:
					print(i)

if __name__ == "__main__":
					import doctest

					doctest.testmod()



