
'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase    					=   logging.get_logger(__name__)

UpperCAmelCase    					=   {
    "xlm-roberta-base": "https://huggingface.co/xlm-roberta-base/resolve/main/config.json",
    "xlm-roberta-large": "https://huggingface.co/xlm-roberta-large/resolve/main/config.json",
    "xlm-roberta-large-finetuned-conll02-dutch": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json"
    ),
    "xlm-roberta-large-finetuned-conll02-spanish": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json"
    ),
    "xlm-roberta-large-finetuned-conll03-english": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json"
    ),
    "xlm-roberta-large-finetuned-conll03-german": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json"
    ),
}

class 						a   (				__lowerCAmelCase    ):
				_snake_case		    = '''xlm-roberta'''




				def __init__(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				Any=3_05_22,    SCREAMING_SNAKE_CASE_	:				Optional[Any]=7_68,    SCREAMING_SNAKE_CASE_	:				Any=12,    SCREAMING_SNAKE_CASE_	:				Optional[int]=12,    SCREAMING_SNAKE_CASE_	:				Optional[Any]=30_72,    SCREAMING_SNAKE_CASE_	:				Any="gelu",    SCREAMING_SNAKE_CASE_	:				Tuple=0.1,    SCREAMING_SNAKE_CASE_	:				Tuple=0.1,    SCREAMING_SNAKE_CASE_	:				Tuple=5_12,    SCREAMING_SNAKE_CASE_	:				str=2,    SCREAMING_SNAKE_CASE_	:				Dict=0.02,    SCREAMING_SNAKE_CASE_	:				List[str]=1e-12,    SCREAMING_SNAKE_CASE_	:				Optional[int]=1,    SCREAMING_SNAKE_CASE_	:				Union[str, Any]=0,    SCREAMING_SNAKE_CASE_	:				str=2,    SCREAMING_SNAKE_CASE_	:				Tuple="absolute",    SCREAMING_SNAKE_CASE_	:				Union[str, Any]=True,    SCREAMING_SNAKE_CASE_	:				Tuple=None,    **SCREAMING_SNAKE_CASE_	:				Dict,    ):
										super().__init__(pad_token_id=_UpperCamelCase,    bos_token_id=_UpperCamelCase,    eos_token_id=_UpperCamelCase,    **_UpperCamelCase      )

										snake_case       :     Union[str, Any] =    vocab_size
										snake_case       :     Tuple =    hidden_size
										snake_case       :     Union[str, Any] =    num_hidden_layers
										snake_case       :     int =    num_attention_heads
										snake_case       :     List[str] =    hidden_act
										snake_case       :     List[Any] =    intermediate_size
										snake_case       :     Optional[Any] =    hidden_dropout_prob
										snake_case       :     str =    attention_probs_dropout_prob
										snake_case       :     Tuple =    max_position_embeddings
										snake_case       :     Union[str, Any] =    type_vocab_size
										snake_case       :     Dict =    initializer_range
										snake_case       :     Any =    layer_norm_eps
										snake_case       :     Union[str, Any] =    position_embedding_type
										snake_case       :     Tuple =    use_cache
										snake_case       :     int =    classifier_dropout




class 						a   (				__lowerCAmelCase    ):




				@property
				def 	__snake_case							(							self	:				List[str]      ):


										if self.task == "multiple-choice":
																snake_case       :     Union[str, Any] =    {0: """batch""", 1: """choice""", 2: """sequence"""}
										else:
																snake_case       :     Union[str, Any] =    {0: """batch""", 1: """sequence"""}
										return OrderedDict(
										    [
										        ('''input_ids''', dynamic_axis),
										        ('''attention_mask''', dynamic_axis),
										    ]      )



'''simple docstring'''





import numpy as np

class 						a   :




				def __init__(							self	:				Dict      ):
										snake_case       :     List[str] =    (0, 0)
										snake_case       :     Tuple =    None
										snake_case       :     Union[str, Any] =    0
										snake_case       :     Dict =    0
										snake_case       :     List[str] =    0




				def __eq__(							self	:				str,    SCREAMING_SNAKE_CASE_	:				List[Any]      ):
										return self.position == cell.position




				def 	__snake_case							(							self	:				Optional[int]      ):
										print(self.position      )




class 						a   :




				def __init__(							self	:				Dict,    SCREAMING_SNAKE_CASE_	:				Union[str, Any]=(5, 5)      ):
										snake_case       :     int =    np.zeros(SCREAMING_SNAKE_CASE_      )
										snake_case       :     Optional[int] =    world_size[0]
										snake_case       :     Optional[Any] =    world_size[1]




				def 	__snake_case							(							self	:				Any      ):
										print(self.w      )




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




def      A (       A_							:					Tuple    ,							A_							:					Tuple    ,							A_							:					Union[str, Any]       ):
						snake_case       :     Union[str, Any] =    []
						snake_case       :     Union[str, Any] =    []
						_open.append(A_       )

						while _open:
												snake_case       :     List[Any] =    np.argmin([n.f for n in _open]       )
												snake_case       :     List[Any] =    _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
																		snake_case       :     Dict =    current.g + 1
																		snake_case,					snake_case       :     Optional[Any] =    n.position
																		snake_case,					snake_case       :     Union[str, Any] =    goal.position
																		snake_case       :     Tuple =    (ya - ya) ** 2 + (xa - xa) ** 2
																		snake_case       :     Union[str, Any] =    n.h + n.g

																		for c in _open:
																								if c == n and c.f < n.f:
																														continue
																		_open.append(A_       )
						snake_case       :     Dict =    []
						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__":
						UpperCAmelCase    					=   Gridworld()
						# Start position and goal
						UpperCAmelCase    					=   Cell()
						UpperCAmelCase    					=   (0, 0)
						UpperCAmelCase    					=   Cell()
						UpperCAmelCase    					=   (4, 4)
						print(f'''path from {start.position} to {goal.position}''')
						UpperCAmelCase    					=   astar(world, start, goal)
						#   Just for visual reasons.
						for i in s:
												UpperCAmelCase    					=   1
						print(world.w)

