
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__a  			=					logging.get_logger(__name__)

__a  			=					{
    'microsoft/swin-tiny-patch4-window7-224': (
        'https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json'
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}
class  lowercase__(				__lowercase ,						__lowercase							):



	"""simple docstring"""




	a			:Optional[int]         =	'swin'

	a			:List[Any]         =	{
	    'num_attention_heads': 'num_heads',
	    'num_hidden_layers': 'num_layers',
	}
	def __init__(       self  :			List[Any]       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]=2_2_4       ,							SCREAMING_SNAKE_CASE_  :			Any=4       ,							SCREAMING_SNAKE_CASE_  :			str=3       ,							SCREAMING_SNAKE_CASE_  :			str=9_6       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=[2, 2, 6, 2]       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=[3, 6, 1_2, 2_4]       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=7       ,							SCREAMING_SNAKE_CASE_  :			int=4.0       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]=True       ,							SCREAMING_SNAKE_CASE_  :			int=0.0       ,							SCREAMING_SNAKE_CASE_  :			Dict=0.0       ,							SCREAMING_SNAKE_CASE_  :			List[Any]=0.1       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]="gelu"       ,							SCREAMING_SNAKE_CASE_  :			Any=False       ,							SCREAMING_SNAKE_CASE_  :			List[str]=0.02       ,							SCREAMING_SNAKE_CASE_  :			int=1e-5       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]=3_2       ,							SCREAMING_SNAKE_CASE_  :			int=None       ,							SCREAMING_SNAKE_CASE_  :			List[Any]=None       ,							**SCREAMING_SNAKE_CASE_  :			Any       ,							)       ->     Union[str, Any]:
					super().__init__(**SCREAMING_SNAKE_CASE_       )

					lowercase_       =					image_size
					lowercase_       =					patch_size
					lowercase_       =					num_channels
					lowercase_       =					embed_dim
					lowercase_       =					depths
					lowercase_       =					len(SCREAMING_SNAKE_CASE_       )
					lowercase_       =					num_heads
					lowercase_       =					window_size
					lowercase_       =					mlp_ratio
					lowercase_       =					qkv_bias
					lowercase_       =					hidden_dropout_prob
					lowercase_       =					attention_probs_dropout_prob
					lowercase_       =					drop_path_rate
					lowercase_       =					hidden_act
					lowercase_       =					use_absolute_embeddings
					lowercase_       =					layer_norm_eps
					lowercase_       =					initializer_range
					lowercase_       =					encoder_stride
					# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
					# this indicates the channel dimension after the last stage of the model
					lowercase_       =					int(embed_dim * 2 ** (len(SCREAMING_SNAKE_CASE_       ) - 1)       )
					lowercase_       =					["stem"] + [f'''stage{idx}''' for idx in range(1       ,							len(SCREAMING_SNAKE_CASE_       ) + 1       )]
					lowercase_       =					get_aligned_output_features_output_indices(
					    out_features=SCREAMING_SNAKE_CASE_       ,							out_indices=SCREAMING_SNAKE_CASE_       ,							stage_names=self.stage_names       )

class  lowercase__(				__lowercase							):



	"""simple docstring"""




	a			:str         =	version.parse('1.11'							)
	@property
	def 						_lowercase  (       self  :			List[Any]       )       ->     Mapping[str, Mapping[int, str]]:
					return OrderedDict(
					    [
					        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
					    ]       )




	@property
	def 						_lowercase  (       self  :			Dict       )       ->     float:
					return 1e-4






from __future__ import annotations




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			list[list[int]])					->    bool:






							'''simple docstring'''





							__UpperCamelCase	:   Any			   =					len(_lowerCamelCase)
							# We need to create solution object to save path.
							__UpperCamelCase	:   List[str]			   =					[[0 for _ in range(_lowerCamelCase)] for _ in range(_lowerCamelCase)]
							__UpperCamelCase	:   Optional[int]			   =					run_maze(_lowerCamelCase						,  0						,  0						,  _lowerCamelCase)
							if solved:
														print("\n".join(str(_lowerCamelCase) for row in solutions))
							else:
														print("No solution exists!")
							return solved




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			list[list[int]]						,  _lowerCamelCase :			int						,  _lowerCamelCase :			int						,  _lowerCamelCase :			list[list[int]])					->    bool:






							'''simple docstring'''





							__UpperCamelCase	:   Tuple			   =					len(_lowerCamelCase)
							# Final check point.
							if i == j == (size - 1):
														__UpperCamelCase	:   Optional[int]			   =					1
														return True

							__UpperCamelCase	:   List[Any]			   =					(not i < 0) and (not j < 0)  # Check lower bounds
							__UpperCamelCase	:   List[str]			   =					(i < size) and (j < size)  # Check upper bounds

							if lower_flag and upper_flag:
														# check for already visited and block points.
														__UpperCamelCase	:   int			   =					(not solutions[i][j]) and (not maze[i][j])
														if block_flag:
																					# check visited
																					__UpperCamelCase	:   Tuple			   =					1

																					# check for directions
																					if (
																					    run_maze(_lowerCamelCase						,  i + 1						,  _lowerCamelCase						,  _lowerCamelCase)
																					    or run_maze(_lowerCamelCase						,  _lowerCamelCase						,  j + 1						,  _lowerCamelCase)
																					    or run_maze(_lowerCamelCase						,  i - 1						,  _lowerCamelCase						,  _lowerCamelCase)
																					    or run_maze(_lowerCamelCase						,  _lowerCamelCase						,  j - 1						,  _lowerCamelCase)
																					):
																												return True

																					__UpperCamelCase	:   Tuple			   =					0
																					return False
							return False


if __name__ == "__main__":
		import doctest

		doctest.testmod()