





from __future__ import annotations

import time
from math import sqrt

# 1 for manhattan, 0 for euclidean
_snake_case  :   Dict						   =  0

_snake_case  :   Dict						   =  [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

_snake_case  :   List[str]						   =  [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

_snake_case  :   Tuple						   =  tuple[int, int]



class     _UpperCAmelCase   :

  """simple docstring"""


  def __init__(    self			:		Dict ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		Node | None ,  )							->						None:
     __lowerCAmelCase							     =     pos_x
     __lowerCAmelCase							     =     pos_y
     __lowerCAmelCase							     =     (pos_y, pos_x)
     __lowerCAmelCase							     =     goal_x
     __lowerCAmelCase							     =     goal_y
     __lowerCAmelCase							     =     g_cost
     __lowerCAmelCase							     =     parent
     __lowerCAmelCase							     =     self.calculate_heuristic()
     __lowerCAmelCase							     =     self.g_cost + self.h_cost






  def     lowercase		(    self			:		Any					)							->						float:
     __lowerCAmelCase							     =     self.pos_x - self.goal_x
     __lowerCAmelCase							     =     self.pos_y - self.goal_y
     if HEURISTIC == 1:
        return abs(lowerCAmelCase_					) + abs(lowerCAmelCase_					)
     else:
        return sqrt(dy**2 + dx**2					)






  def __lt__(    self			:		Union[str, Any] ,  lowerCAmelCase_			:		Node					)							->						bool:
     return self.f_cost < other.f_cost





class     _UpperCAmelCase   :

  """simple docstring"""


  def __init__(    self			:		List[str] ,  lowerCAmelCase_			:		TPosition ,  lowerCAmelCase_			:		TPosition					)							->						Tuple:
     __lowerCAmelCase							     =     Node(start[1] ,  start[0] ,  goal[1] ,  goal[0] ,  0 ,  lowerCAmelCase_					)
     __lowerCAmelCase							     =     Node(goal[1] ,  goal[0] ,  goal[1] ,  goal[0] ,  9_9_9_9_9 ,  lowerCAmelCase_					)

     __lowerCAmelCase							     =     [self.start]
     __lowerCAmelCase							     =     []

     __lowerCAmelCase							     =     False






  def     lowercase		(    self			:		str					)							->						list[TPosition]:
     while self.open_nodes:
        # Open Nodes are sorted using __lt__
        self.open_nodes.sort()
        __lowerCAmelCase							     =     self.open_nodes.pop(0					)

        if current_node.pos == self.target.pos:
           return self.retrace_path(lowerCAmelCase_					)

        self.closed_nodes.append(lowerCAmelCase_					)
        __lowerCAmelCase							     =     self.get_successors(lowerCAmelCase_					)

        for child_node in successors:
           if child_node in self.closed_nodes:
              continue

           if child_node not in self.open_nodes:
              self.open_nodes.append(lowerCAmelCase_					)
           else:
              # retrieve the best current path
              __lowerCAmelCase							     =     self.open_nodes.pop(self.open_nodes.index(lowerCAmelCase_					)					)

              if child_node.g_cost < better_node.g_cost:
                 self.open_nodes.append(lowerCAmelCase_					)
              else:
                 self.open_nodes.append(lowerCAmelCase_					)

     return [self.start.pos]






  def     lowercase		(    self			:		Optional[Any] ,  lowerCAmelCase_			:		Node					)							->						list[Node]:
     __lowerCAmelCase							     =     []
     for action in delta:
        __lowerCAmelCase							     =     parent.pos_x + action[1]
        __lowerCAmelCase							     =     parent.pos_y + action[0]
        if not (0 <= pos_x <= len(grid[0]					) - 1 and 0 <= pos_y <= len(lowerCAmelCase_					) - 1):
           continue

        if grid[pos_y][pos_x] != 0:
           continue

        successors.append(
            Node(
                lowerCAmelCase_ ,  lowerCAmelCase_ ,  self.target.pos_y ,  self.target.pos_x ,  parent.g_cost + 1 ,  lowerCAmelCase_ ,  )					)
     return successors






  def     lowercase		(    self			:		Tuple ,  lowerCAmelCase_			:		Node | None					)							->						list[TPosition]:
     __lowerCAmelCase							     =     node
     __lowerCAmelCase							     =     []
     while current_node is not None:
        path.append((current_node.pos_y, current_node.pos_x)					)
        __lowerCAmelCase							     =     current_node.parent
     path.reverse()
     return path





class     _UpperCAmelCase   :

  """simple docstring"""


  def __init__(    self			:		int ,  lowerCAmelCase_			:		TPosition ,  lowerCAmelCase_			:		TPosition					)							->						None:
     __lowerCAmelCase							     =     AStar(lowerCAmelCase_ ,  lowerCAmelCase_					)
     __lowerCAmelCase							     =     AStar(lowerCAmelCase_ ,  lowerCAmelCase_					)
     __lowerCAmelCase							     =     False






  def     lowercase		(    self			:		Dict					)							->						list[TPosition]:
     while self.fwd_astar.open_nodes or self.bwd_astar.open_nodes:
        self.fwd_astar.open_nodes.sort()
        self.bwd_astar.open_nodes.sort()
        __lowerCAmelCase							     =     self.fwd_astar.open_nodes.pop(0					)
        __lowerCAmelCase							     =     self.bwd_astar.open_nodes.pop(0					)

        if current_bwd_node.pos == current_fwd_node.pos:
           return self.retrace_bidirectional_path(
               lowerCAmelCase_ ,  lowerCAmelCase_					)

        self.fwd_astar.closed_nodes.append(lowerCAmelCase_					)
        self.bwd_astar.closed_nodes.append(lowerCAmelCase_					)

        __lowerCAmelCase							     =     current_bwd_node
        __lowerCAmelCase							     =     current_fwd_node

        __lowerCAmelCase							     =     {
            self.fwd_astar: self.fwd_astar.get_successors(lowerCAmelCase_					),
            self.bwd_astar: self.bwd_astar.get_successors(lowerCAmelCase_					),
        }

        for astar in [self.fwd_astar, self.bwd_astar]:
           for child_node in successors[astar]:
              if child_node in astar.closed_nodes:
                 continue

              if child_node not in astar.open_nodes:
                 astar.open_nodes.append(lowerCAmelCase_					)
              else:
                 # retrieve the best current path
                 __lowerCAmelCase							     =     astar.open_nodes.pop(
                     astar.open_nodes.index(lowerCAmelCase_					)					)

                 if child_node.g_cost < better_node.g_cost:
                    astar.open_nodes.append(lowerCAmelCase_					)
                 else:
                    astar.open_nodes.append(lowerCAmelCase_					)

     return [self.fwd_astar.start.pos]






  def     lowercase		(    self			:		Dict ,  lowerCAmelCase_			:		Node ,  lowerCAmelCase_			:		Node					)							->						list[TPosition]:
     __lowerCAmelCase							     =     self.fwd_astar.retrace_path(lowerCAmelCase_					)
     __lowerCAmelCase							     =     self.bwd_astar.retrace_path(lowerCAmelCase_					)
     bwd_path.pop()
     bwd_path.reverse()
     __lowerCAmelCase							     =     fwd_path + bwd_path
     return path


if __name__ == "__main__":
     # all coordinates are given in format [y,x]
     _snake_case  :   List[Any]						   =  (0, 0)
     _snake_case  :   Union[str, Any]						   =  (len(grid) - 1, len(grid[0]) - 1)
     for elem in grid:
          print(elem)

     _snake_case  :   int						   =  time.time()
     _snake_case  :   Optional[int]						   =  AStar(init, goal)
     _snake_case  :   int						   =  a_star.search()
     _snake_case  :   Union[str, Any]						   =  time.time() - start_time
     print(F"""AStar execution time = {end_time:f} seconds""")

     _snake_case  :   Any						   =  time.time()
     _snake_case  :   Dict						   =  BidirectionalAStar(init, goal)
     _snake_case  :   Optional[int]						   =  time.time() - bd_start_time
     print(F"""BidirectionalAStar execution time = {bd_end_time:f} seconds""")








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

     _snake_case  :   int						   =  True
except (ImportError, AttributeError):
     _snake_case  :   int						   =  object

     def   a_   (			*lowerCAmelCase_				:      List[str],     **lowerCAmelCase_				:      Optional[Any]     ):
        pass




     _snake_case  :   Union[str, Any]						   =  False


_snake_case  :   int						   =  logging.get_logger('transformers-cli/serving')

def   a_   (			lowerCAmelCase_				:      Namespace     ):
   __lowerCAmelCase							     =     pipeline(
       task=args.task,     model=args.model if args.model else None,     config=args.config,     tokenizer=args.tokenizer,     device=args.device,     )
   return ServeCommand(lowerCAmelCase_,     args.host,     args.port,     args.workers     )



class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			42





class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			42
  a_      =			42





class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			42





class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			42





class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  @staticmethod
  def     lowercase		(    lowerCAmelCase_			:		ArgumentParser					)							->						Union[str, Any]:
     __lowerCAmelCase							     =     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_8_8_8 ,  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			:		List[str] ,  lowerCAmelCase_			:		Pipeline ,  lowerCAmelCase_			:		str ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		int					)							->						str:
     __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=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=6_0_0 ,  )






  def     lowercase		(    self			:		Tuple					)							->						str:
     run(self._app ,  host=self.host ,  port=self.port ,  workers=self.workers					)






  def     lowercase		(    self			:		Any					)							->						List[str]:
     return ServeModelInfoResult(infos=vars(self._pipeline.model.config					)					)






  def     lowercase		(    self			:		int ,  lowerCAmelCase_			:		str = Body(lowerCAmelCase_ ,  embed=lowerCAmelCase_					) ,  lowerCAmelCase_			:		bool = Body(lowerCAmelCase_ ,  embed=lowerCAmelCase_					)					)							->						Dict:
     try:
        __lowerCAmelCase							     =     self._pipeline.tokenizer.tokenize(lowerCAmelCase_					)

        if return_ids:
           __lowerCAmelCase							     =     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=5_0_0 ,  detail={'model': '', 'error': str(lowerCAmelCase_					)}					)






  def     lowercase		(    self			:		int ,  lowerCAmelCase_			:		List[int] = Body(lowerCAmelCase_ ,  embed=lowerCAmelCase_					) ,  lowerCAmelCase_			:		bool = Body(lowerCAmelCase_ ,  embed=lowerCAmelCase_					) ,  lowerCAmelCase_			:		bool = Body(lowerCAmelCase_ ,  embed=lowerCAmelCase_					) ,  )							->						Union[str, Any]:
     try:
        __lowerCAmelCase							     =     self._pipeline.tokenizer.decode(lowerCAmelCase_ ,  lowerCAmelCase_ ,  lowerCAmelCase_					)
        return ServeDeTokenizeResult(model='' ,  text=lowerCAmelCase_					)
     except Exception as e:
        raise HTTPException(status_code=5_0_0 ,  detail={'model': '', 'error': str(lowerCAmelCase_					)}					)






  async def     lowercase		(    self			:		List[Any] ,  lowerCAmelCase_			:		Union[str, Any]=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
        __lowerCAmelCase							     =     self._pipeline(lowerCAmelCase_					)
        return ServeForwardResult(output=lowerCAmelCase_					)
     except Exception as e:
        raise HTTPException(5_0_0 ,  {'error': str(lowerCAmelCase_					)}					)

