

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_       	=	{
    '''facebook/xlm-roberta-xl''': '''https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json''',
    '''facebook/xlm-roberta-xxl''': '''https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json''',
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}





class 	snake_case_   (		__A					):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE     :   int									=				"xlm-roberta-xl"







			def __init__(     self :				str							,   _UpperCamelCase :				Union[str, Any]=2_5_0_8_8_0							,   _UpperCamelCase :				List[Any]=2_5_6_0							,   _UpperCamelCase :				Any=3_6							,   _UpperCamelCase :				Dict=3_2							,   _UpperCamelCase :				Optional[int]=1_0_2_4_0							,   _UpperCamelCase :				Dict="gelu"							,   _UpperCamelCase :				Union[str, Any]=0.1							,   _UpperCamelCase :				Dict=0.1							,   _UpperCamelCase :				Union[str, Any]=5_1_4							,   _UpperCamelCase :				Dict=1							,   _UpperCamelCase :				int=0.02							,   _UpperCamelCase :				List[str]=1e-05							,   _UpperCamelCase :				Dict=1							,   _UpperCamelCase :				List[str]=0							,   _UpperCamelCase :				str=2							,   _UpperCamelCase :				Dict="absolute"							,   _UpperCamelCase :				Optional[Any]=True							,   _UpperCamelCase :				Dict=None							,   **_UpperCamelCase :				List[Any]							,   )      ->Union[str, Any]:
									super().__init__(pad_token_id=_UpperCamelCase							,   bos_token_id=_UpperCamelCase							,   eos_token_id=_UpperCamelCase							,   **_UpperCamelCase							)
									snake_case_   =	vocab_size
									snake_case_   =	hidden_size
									snake_case_   =	num_hidden_layers
									snake_case_   =	num_attention_heads
									snake_case_   =	hidden_act
									snake_case_   =	intermediate_size
									snake_case_   =	hidden_dropout_prob
									snake_case_   =	attention_probs_dropout_prob
									snake_case_   =	max_position_embeddings
									snake_case_   =	type_vocab_size
									snake_case_   =	initializer_range
									snake_case_   =	layer_norm_eps
									snake_case_   =	position_embedding_type
									snake_case_   =	use_cache
									snake_case_   =	classifier_dropout






class 	snake_case_   (		__A					):







			'''simple docstring'''

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






from __future__ import annotations


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase )			->     list[tuple[int, int]]:
    lowerCamelCase__ ,							lowerCamelCase__    :      Union[str, Any]					 =		position
    lowerCamelCase__    :      Optional[Any]					 =		[
        (y + 1, x + 2),
        (y - 1, x + 2),
        (y + 1, x - 2),
        (y - 1, x - 2),
        (y + 2, x + 1),
        (y + 2, x - 1),
        (y - 2, x + 1),
        (y - 2, x - 1),
    ]
    lowerCamelCase__    :      Dict					 =		[]

    for position in positions:
        lowerCamelCase__ ,							lowerCamelCase__    :      Optional[int]					 =		position
        if 0 <= y_test < n and 0 <= x_test < n:
            permissible_positions.append(_UpperCAmelCase )

    return permissible_positions


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     bool:
    return not any(elem == 0 for row in board for elem in row )


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase )			->     bool:

    if is_complete(_UpperCAmelCase ):
        return True

    for position in get_valid_pos(_UpperCAmelCase						,	len(_UpperCAmelCase ) ):
        lowerCamelCase__ ,							lowerCamelCase__    :      Optional[int]					 =		position

        if board[y][x] == 0:
            lowerCamelCase__    :      List[Any]					 =		curr + 1
            if open_knight_tour_helper(_UpperCAmelCase						,	_UpperCAmelCase						,	curr + 1 ):
                return True
            lowerCamelCase__    :      Optional[Any]					 =		0

    return False


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     list[list[int]]:
    lowerCamelCase__    :      Any					 =		[[0 for i in range(_UpperCAmelCase )] for j in range(_UpperCAmelCase )]

    for i in range(_UpperCAmelCase ):
        for j in range(_UpperCAmelCase ):
            lowerCamelCase__    :      Optional[int]					 =		1
            if open_knight_tour_helper(_UpperCAmelCase						,	(i, j)						,	1 ):
                return board
            lowerCamelCase__    :      Optional[Any]					 =		0

    lowerCamelCase__    :      Any					 =		F"""Open Kight Tour cannot be performed on a board of size {n}"""
    raise ValueError(_UpperCAmelCase )


if __name__ == "__main__":
    import doctest

    doctest.testmod()





