






"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowerCAmelCase            =	logging.get_logger(__name__)

_lowerCAmelCase            =	{
    'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json',
    'YituTech/conv-bert-medium-small': (
        'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'
    ),
    'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}


class      UpperCamelCase		(__snake_case     ):
						_SCREAMING_SNAKE_CASE  : Dict												=		"""convbert"""






						def __init__(		self  :str			, __magic_name__  :Any=30_522			, __magic_name__  :Union[str, Any]=768			, __magic_name__  :Optional[Any]=12			, __magic_name__  :Optional[int]=12			, __magic_name__  :Any=3_072			, __magic_name__  :List[str]="gelu"			, __magic_name__  :List[str]=0.1			, __magic_name__  :Union[str, Any]=0.1			, __magic_name__  :Union[str, Any]=512			, __magic_name__  :List[str]=2			, __magic_name__  :str=0.02			, __magic_name__  :List[str]=1E-12			, __magic_name__  :str=1			, __magic_name__  :Optional[int]=0			, __magic_name__  :Dict=2			, __magic_name__  :Optional[int]=768			, __magic_name__  :str=2			, __magic_name__  :Union[str, Any]=9			, __magic_name__  :int=1			, __magic_name__  :Optional[Any]=None			, **__magic_name__  :Optional[int]			, )      ->int:
										super().__init__(
										    pad_token_id=__magic_name__			, bos_token_id=__magic_name__			, eos_token_id=__magic_name__			, **__magic_name__			, )

										lowercase    :      List[Any]       = vocab_size
										lowercase    :      Dict       = hidden_size
										lowercase    :      List[Any]       = num_hidden_layers
										lowercase    :      Dict       = num_attention_heads
										lowercase    :      int       = intermediate_size
										lowercase    :      int       = hidden_act
										lowercase    :      Optional[Any]       = hidden_dropout_prob
										lowercase    :      int       = attention_probs_dropout_prob
										lowercase    :      Dict       = max_position_embeddings
										lowercase    :      List[str]       = type_vocab_size
										lowercase    :      Union[str, Any]       = initializer_range
										lowercase    :      Tuple       = layer_norm_eps
										lowercase    :      int       = embedding_size
										lowercase    :      str       = head_ratio
										lowercase    :      List[str]       = conv_kernel_size
										lowercase    :      Tuple       = num_groups
										lowercase    :      List[str]       = classifier_dropout


class      UpperCamelCase		(__snake_case     ):






						@property
						def      __snake_case      (		self  :int				)      ->Mapping[str, Mapping[int, str]]:
										if self.task == "multiple-choice":
														lowercase    :      List[str]       = {0: """batch""", 1: """choice""", 2: """sequence"""}
										else:
														lowercase    :      List[str]       = {0: """batch""", 1: """sequence"""}
										return OrderedDict(
										    [
										        ("""input_ids""", dynamic_axis),
										        ("""attention_mask""", dynamic_axis),
										        ("""token_type_ids""", dynamic_axis),
										    ]				)








"""simple docstring"""







import numpy as np


class      UpperCamelCase		:






						def __init__(		self  :List[Any]				)      ->Optional[Any]:
										lowercase    :      Dict       = (0, 0)
										lowercase    :      str       = None
										lowercase    :      Any       = 0
										lowercase    :      List[Any]       = 0
										lowercase    :      Union[str, Any]       = 0






						def __eq__(		self  :List[Any]			, __magic_name__  :Optional[Any]				)      ->Tuple:
										return self.position == cell.position






						def      __snake_case      (		self  :Any				)      ->List[Any]:
										print(self.position				)


class      UpperCamelCase		:






						def __init__(		self  :Any			, __magic_name__  :int=(5, 5)				)      ->Dict:
										lowercase    :      Tuple       = np.zeros(__magic_name__				)
										lowercase    :      List[str]       = world_size[0]
										lowercase    :      str       = world_size[1]






						def      __snake_case      (		self  :str				)      ->int:
										print(self.w				)






						def      __snake_case      (		self  :Any			, __magic_name__  :Any				)      ->Optional[int]:
										lowercase    :      Optional[Any]       = [
										    (-1, -1),
										    (-1, 0),
										    (-1, 1),
										    (0, -1),
										    (0, 1),
										    (1, -1),
										    (1, 0),
										    (1, 1),
										]
										lowercase    :      List[str]       = cell.position[0]
										lowercase    :      List[str]       = cell.position[1]
										lowercase    :      Optional[int]       = []
										for n in neughbour_cord:
														lowercase    :      List[Any]       = current_x + n[0]
														lowercase    :      List[Any]       = current_y + n[1]
														if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
																		lowercase    :      Tuple       = Cell()
																		lowercase    :      Union[str, Any]       = (x, y)
																		lowercase    :      Dict       = cell
																		neighbours.append(__magic_name__				)
										return neighbours


def      UpperCamelCase       ( _A  ,				_A  ,				_A )     ->       Tuple:
				lowercase    :      Dict       = []
				lowercase    :      List[str]       = []
				_open.append(_A )

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

												for c in _open:
																if c == n and c.f < n.f:
																				continue
												_open.append(_A )
				lowercase    :      List[str]       = []
				while current.parent is not None:
								path.append(current.position )
								lowercase    :      int       = 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)
