



"""simple docstring"""





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


lowerCamelCase      =		logging.get_logger(__name__)

lowerCamelCase      =		{
    """microsoft/beit-base-patch16-224-pt22k""": (
        """https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json"""
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}
class    lowercase__     (					SCREAMING_SNAKE_CASE   ):







       '''simple docstring'''


       UpperCamelCase		=  '''beit'''



       def __init__(							self    :						Dict	,       _UpperCAmelCase    :						Any=8192	,       _UpperCAmelCase    :						Any=768	,       _UpperCAmelCase    :						Optional[Any]=12	,       _UpperCAmelCase    :						Any=12	,       _UpperCAmelCase    :						str=3072	,       _UpperCAmelCase    :						List[str]="gelu"	,       _UpperCAmelCase    :						Any=0.0	,       _UpperCAmelCase    :						List[Any]=0.0	,       _UpperCAmelCase    :						str=0.02	,       _UpperCAmelCase    :						Tuple=1e-12	,       _UpperCAmelCase    :						Dict=224	,       _UpperCAmelCase    :						Optional[int]=16	,       _UpperCAmelCase    :						str=3	,       _UpperCAmelCase    :						str=False	,       _UpperCAmelCase    :						str=False	,       _UpperCAmelCase    :						Optional[Any]=False	,       _UpperCAmelCase    :						Tuple=False	,       _UpperCAmelCase    :						int=0.1	,       _UpperCAmelCase    :						Union[str, Any]=0.1	,       _UpperCAmelCase    :						Optional[Any]=True	,       _UpperCAmelCase    :						Union[str, Any]=[3, 5, 7, 11]	,       _UpperCAmelCase    :						Optional[Any]=[1, 2, 3, 6]	,       _UpperCAmelCase    :						Dict=True	,       _UpperCAmelCase    :						List[str]=0.4	,       _UpperCAmelCase    :						List[Any]=256	,       _UpperCAmelCase    :						int=1	,       _UpperCAmelCase    :						Optional[Any]=False	,       _UpperCAmelCase    :						int=255	,       **_UpperCAmelCase    :						Dict	,       )				->		List[Any]:


             '''simple docstring'''




             super().__init__(**_UpperCAmelCase					)

             UpperCAmelCase_    				=							vocab_size
             UpperCAmelCase_    				=							hidden_size
             UpperCAmelCase_    				=							num_hidden_layers
             UpperCAmelCase_    				=							num_attention_heads
             UpperCAmelCase_    				=							intermediate_size
             UpperCAmelCase_    				=							hidden_act
             UpperCAmelCase_    				=							hidden_dropout_prob
             UpperCAmelCase_    				=							attention_probs_dropout_prob
             UpperCAmelCase_    				=							initializer_range
             UpperCAmelCase_    				=							layer_norm_eps

             UpperCAmelCase_    				=							image_size
             UpperCAmelCase_    				=							patch_size
             UpperCAmelCase_    				=							num_channels
             UpperCAmelCase_    				=							use_mask_token
             UpperCAmelCase_    				=							use_absolute_position_embeddings
             UpperCAmelCase_    				=							use_relative_position_bias
             UpperCAmelCase_    				=							use_shared_relative_position_bias
             UpperCAmelCase_    				=							layer_scale_init_value
             UpperCAmelCase_    				=							drop_path_rate
             UpperCAmelCase_    				=							use_mean_pooling
             # decode head attributes (semantic segmentation)
             UpperCAmelCase_    				=							out_indices
             UpperCAmelCase_    				=							pool_scales
             # auxiliary head attributes (semantic segmentation)
             UpperCAmelCase_    				=							use_auxiliary_head
             UpperCAmelCase_    				=							auxiliary_loss_weight
             UpperCAmelCase_    				=							auxiliary_channels
             UpperCAmelCase_    				=							auxiliary_num_convs
             UpperCAmelCase_    				=							auxiliary_concat_input
             UpperCAmelCase_    				=							semantic_loss_ignore_index



class    lowercase__     (					SCREAMING_SNAKE_CASE   ):







       '''simple docstring'''


       UpperCamelCase		=  version.parse('''1.11'''   )



       @property
       def   lowercase__       (							self    :						Optional[Any]					)				->		Mapping[str, Mapping[int, str]]:


             '''simple docstring'''




             return OrderedDict(
                 [
                     ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
                 ]					)







       @property
       def   lowercase__       (							self    :						Tuple					)				->		float:


             '''simple docstring'''




             return 1e-4









"""simple docstring"""





from heapq import heappop, heappush

import numpy as np
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__			,    ):
      UpperCAmelCase_				,					UpperCAmelCase_    				=							grid.shape
      UpperCAmelCase_    				=							[-1, 1, 0, 0]
      UpperCAmelCase_    				=							[0, 0, -1, 1]
      if allow_diagonal:
            dx += [-1, -1, 1, 1]
            dy += [-1, 1, -1, 1]

      UpperCAmelCase_				,					UpperCAmelCase_    				=							[(0, source)], set()
      UpperCAmelCase_    				=							np.full((rows, cols)			,    np.inf   )
      UpperCAmelCase_    				=							0
      UpperCAmelCase_    				=							np.empty((rows, cols)			,    dtype=lowerCAmelCase__   )
      UpperCAmelCase_    				=							None

      while queue:
            ((UpperCAmelCase_)				,					(UpperCAmelCase_))    				=							heappop(lowerCAmelCase__   )
            if (x, y) in visited:
                  continue
            visited.add((x, y)   )

            if (x, y) == destination:
                  UpperCAmelCase_    				=							[]
                  while (x, y) != source:
                        path.append((x, y)   )
                        UpperCAmelCase_				,					UpperCAmelCase_    				=							predecessors[x, y]
                  path.append(lowerCAmelCase__   )  # add the source manually
                  path.reverse()
                  return matrix[destination], path

            for i in range(len(lowerCAmelCase__   )   ):
                  UpperCAmelCase_				,					UpperCAmelCase_    				=							x + dx[i], y + dy[i]
                  if 0 <= nx < rows and 0 <= ny < cols:
                        UpperCAmelCase_    				=							grid[nx][ny]
                        if next_node == 1 and matrix[nx, ny] > dist + 1:
                              heappush(lowerCAmelCase__			,    (dist + 1, (nx, ny))   )
                              UpperCAmelCase_    				=							dist + 1
                              UpperCAmelCase_    				=							(x, y)

      return np.inf, []


if __name__ == "__main__":
  import doctest

  doctest.testmod()




