





import numpy as np



class        _lowerCAmelCase    :


  '''simple docstring'''







  def __init__(      self      :					Dict							):


    '''simple docstring'''





    _snake_case   :				Any														=	(0, 0)
    _snake_case   :				Any														=	None
    _snake_case   :				List[Any]														=	0
    _snake_case   :				Union[str, Any]														=	0
    _snake_case   :				Union[str, Any]														=	0







  def __eq__(      self      :					int      ,				UpperCamelCase      :					Dict							):


    '''simple docstring'''





    return self.position == cell.position







  def UpperCamelCase_ (      self      :					Optional[int]							):


    '''simple docstring'''





    print(self.position							)




class        _lowerCAmelCase    :


  '''simple docstring'''







  def __init__(      self      :					Any      ,				UpperCamelCase      :					str=(5, 5)							):


    '''simple docstring'''





    _snake_case   :				Tuple														=	np.zeros(UpperCamelCase							)
    _snake_case   :				List[str]														=	world_size[0]
    _snake_case   :				Optional[Any]														=	world_size[1]







  def UpperCamelCase_ (      self      :					str							):


    '''simple docstring'''





    print(self.w							)







  def UpperCamelCase_ (      self      :					Tuple      ,				UpperCamelCase      :					Optional[Any]							):


    '''simple docstring'''





    _snake_case   :				Optional[Any]														=	[
        (-1, -1),
        (-1, 0),
        (-1, 1),
        (0, -1),
        (0, 1),
        (1, -1),
        (1, 0),
        (1, 1),
    ]
    _snake_case   :				List[Any]														=	cell.position[0]
    _snake_case   :				str														=	cell.position[1]
    _snake_case   :				List[str]														=	[]
    for n in neughbour_cord:
      _snake_case   :				Any														=	current_x + n[0]
      _snake_case   :				List[Any]														=	current_y + n[1]
      if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
        _snake_case   :				Optional[int]														=	Cell()
        _snake_case   :				int														=	(x, y)
        _snake_case   :				Any														=	cell
        neighbours.append(UpperCamelCase							)
    return neighbours




def     lowerCamelCase_	(      lowerCAmelCase:	int    ,							lowerCAmelCase:	Union[str, Any]    ,							lowerCAmelCase:	Tuple				)->		Optional[int]:
  _snake_case   :				Dict														=	[]
  _snake_case   :				List[str]														=	[]
  _open.append(lowerCAmelCase				)

  while _open:
    _snake_case   :				Union[str, Any]														=	np.argmin([n.f for n in _open]				)
    _snake_case   :				Union[str, Any]														=	_open[min_f]
    _closed.append(_open.pop(lowerCAmelCase				)				)
    if current == goal:
      break
    for n in world.get_neigbours(lowerCAmelCase				):
      for c in _closed:
        if c == n:
          continue
      _snake_case   :				Dict														=	current.g + 1
      _snake_case							,					_snake_case   :				Any														=	n.position
      _snake_case							,					_snake_case   :				Dict														=	goal.position
      _snake_case   :				Optional[Any]														=	(ya - ya) ** 2 + (xa - xa) ** 2
      _snake_case   :				Optional[Any]														=	n.h + n.g

      for c in _open:
        if c == n and c.f < n.f:
          continue
      _open.append(lowerCAmelCase				)
  _snake_case   :				int														=	[]
  while current.parent is not None:
    path.append(current.position				)
    _snake_case   :				Tuple														=	current.parent
  path.append(current.position				)
  return path[::-1]


if __name__ == "__main__":
      lowerCAmelCase_						   =    Gridworld()
      # Start position and goal
      lowerCAmelCase_						   =    Cell()
      lowerCAmelCase_						   =    (0, 0)
      lowerCAmelCase_						   =    Cell()
      lowerCAmelCase_						   =    (4, 4)
      print(F"""path from {start.position} to {goal.position}""")
      lowerCAmelCase_						   =    astar(world, start, goal)
      #   Just for visual reasons.
      for i in s:
            lowerCAmelCase_						   =    1
      print(world.w)











# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


lowerCAmelCase_						   =    """Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine"""


def     lowerCamelCase_	(      )->		Tuple:
  _snake_case   :				int														=	_ask_options(
      'In which compute environment are you running?'    ,							['This machine', 'AWS (Amazon SageMaker)']    ,							_convert_compute_environment    ,							)
  if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
    _snake_case   :				int														=	get_sagemaker_input()
  else:
    _snake_case   :				Any														=	get_cluster_input()
  return config


def     lowerCamelCase_	(      lowerCAmelCase:	str=None				)->		Any:
  if subparsers is not None:
    _snake_case   :				List[Any]														=	subparsers.add_parser('config'    ,							description=lowerCAmelCase				)
  else:
    _snake_case   :				Dict														=	argparse.ArgumentParser('Accelerate config command'    ,							description=lowerCAmelCase				)

  parser.add_argument(
      '--config_file'    ,							default=lowerCAmelCase    ,							help=(
          'The path to use to store the config file. Will default to a file named default_config.yaml in the cache '
          'location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '
          'such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '
          'with \'huggingface\'.'
      )    ,							)

  if subparsers is not None:
    parser.set_defaults(func=lowerCAmelCase				)
  return parser


def     lowerCamelCase_	(      lowerCAmelCase:	Any				)->		Any:
  _snake_case   :				Dict														=	get_user_input()
  if args.config_file is not None:
    _snake_case   :				List[str]														=	args.config_file
  else:
    if not os.path.isdir(lowerCAmelCase				):
      os.makedirs(lowerCAmelCase				)
    _snake_case   :				Union[str, Any]														=	default_yaml_config_file

  if config_file.endswith('.json'				):
    config.to_json_file(lowerCAmelCase				)
  else:
    config.to_yaml_file(lowerCAmelCase				)
  print(F"""accelerate configuration saved at {config_file}"""				)


def     lowerCamelCase_	(      )->		Dict:
  _snake_case   :				List[str]														=	config_command_parser()
  _snake_case   :				str														=	parser.parse_args()
  config_command(lowerCAmelCase				)


if __name__ == "__main__":
      main()




