

"""simple docstring"""





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


_a							=							logging.get_logger(__name__)

_a							=							{
    'shi-labs/dinat-mini-in1k-224': 'https://huggingface.co/shi-labs/dinat-mini-in1k-224/resolve/main/config.json',
    # See all Dinat models at https://huggingface.co/models?filter=dinat
}




class  _lowerCAmelCase  (     lowercase					,lowercase       ):







 """simple docstring"""







 __UpperCAmelCase     : int       		=     "dinat"

 __UpperCAmelCase     : Union[str, Any]       		=     {
     "num_attention_heads": "num_heads",
     "num_hidden_layers": "num_layers",
 }


 def __init__(      self							:      Dict, UpperCAmelCase__							:      Union[str, Any]=4, UpperCAmelCase__							:      Optional[Any]=3, UpperCAmelCase__							:      Tuple=6_4, UpperCAmelCase__							:      Any=[3, 4, 6, 5], UpperCAmelCase__							:      Union[str, Any]=[2, 4, 8, 1_6], UpperCAmelCase__							:      Dict=7, UpperCAmelCase__							:      Dict=[[1, 8, 1], [1, 4, 1, 4], [1, 2, 1, 2, 1, 2], [1, 1, 1, 1, 1]], UpperCAmelCase__							:      List[Any]=3.0, UpperCAmelCase__							:      Union[str, Any]=True, UpperCAmelCase__							:      List[str]=0.0, UpperCAmelCase__							:      Optional[int]=0.0, UpperCAmelCase__							:      str=0.1, UpperCAmelCase__							:      Dict="gelu", UpperCAmelCase__							:      List[Any]=0.02, UpperCAmelCase__							:      Dict=1E-5, UpperCAmelCase__							:      List[str]=0.0, UpperCAmelCase__							:      Union[str, Any]=None, UpperCAmelCase__							:      Union[str, Any]=None, **UpperCAmelCase__							:      Optional[Any], ):
    super().__init__(**UpperCAmelCase__     )

    __lowercase								=						patch_size
    __lowercase								=						num_channels
    __lowercase								=						embed_dim
    __lowercase								=						depths
    __lowercase								=						len(UpperCAmelCase__     )
    __lowercase								=						num_heads
    __lowercase								=						kernel_size
    __lowercase								=						dilations
    __lowercase								=						mlp_ratio
    __lowercase								=						qkv_bias
    __lowercase								=						hidden_dropout_prob
    __lowercase								=						attention_probs_dropout_prob
    __lowercase								=						drop_path_rate
    __lowercase								=						hidden_act
    __lowercase								=						layer_norm_eps
    __lowercase								=						initializer_range
    # we set the hidden_size attribute in order to make Dinat work with VisionEncoderDecoderModel
    # this indicates the channel dimension after the last stage of the model
    __lowercase								=						int(embed_dim * 2 ** (len(UpperCAmelCase__     ) - 1)     )
    __lowercase								=						layer_scale_init_value
    __lowercase								=						["stem"] + [F"""stage{idx}""" for idx in range(1, len(UpperCAmelCase__     ) + 1     )]
    __lowercase		,__lowercase								=						get_aligned_output_features_output_indices(
        out_features=UpperCAmelCase__, out_indices=UpperCAmelCase__, stage_names=self.stage_names     )







"""simple docstring"""





from __future__ import annotations

from typing import Any




class  _lowerCAmelCase  :







 """simple docstring"""







 def __init__(      self							:      Union[str, Any], UpperCAmelCase__							:      int     ):
    __lowercase								=						num_of_nodes
    __lowercase								=						[]
    __lowercase								=						{}


 def  _lowercase			(      self							:      Tuple, UpperCAmelCase__							:      int, UpperCAmelCase__							:      int, UpperCAmelCase__							:      int     ):
    self.m_edges.append([u_node, v_node, weight]     )


 def  _lowercase			(      self							:      Dict, UpperCAmelCase__							:      int     ):

    if self.m_component[u_node] == u_node:
       return u_node
    return self.find_component(self.m_component[u_node]     )


 def  _lowercase			(      self							:      Dict, UpperCAmelCase__							:      int     ):

    if self.m_component[u_node] != u_node:
       for k in self.m_component:
          __lowercase								=						self.find_component(UpperCAmelCase__     )


 def  _lowercase			(      self							:      str, UpperCAmelCase__							:      list[int], UpperCAmelCase__							:      int, UpperCAmelCase__							:      int     ):

    if component_size[u_node] <= component_size[v_node]:
       __lowercase								=						v_node
       component_size[v_node] += component_size[u_node]
       self.set_component(UpperCAmelCase__     )

    elif component_size[u_node] >= component_size[v_node]:
       __lowercase								=						self.find_component(UpperCAmelCase__     )
       component_size[u_node] += component_size[v_node]
       self.set_component(UpperCAmelCase__     )



 def  _lowercase			(      self							:      Tuple     ):
    __lowercase								=						[]
    __lowercase								=						0

    __lowercase								=						[-1] * self.m_num_of_nodes

    # A list of components (initialized to all of the nodes)
    for node in range(self.m_num_of_nodes     ):
       self.m_component.update({node: node}     )
       component_size.append(1     )

    __lowercase								=						self.m_num_of_nodes

    while num_of_components > 1:
       for edge in self.m_edges:
          __lowercase		,__lowercase		,__lowercase								=						edge

          __lowercase								=						self.m_component[u]
          __lowercase								=						self.m_component[v]

          if u_component != v_component:

             for component in (u_component, v_component):
                if (
                    minimum_weight_edge[component] == -1
                    or minimum_weight_edge[component][2] > w
                ):
                   __lowercase								=						[u, v, w]

       for edge in minimum_weight_edge:
          if isinstance(UpperCAmelCase__, UpperCAmelCase__     ):
             __lowercase		,__lowercase		,__lowercase								=						edge

             __lowercase								=						self.m_component[u]
             __lowercase								=						self.m_component[v]

             if u_component != v_component:
                mst_weight += w
                self.union(UpperCAmelCase__, UpperCAmelCase__, UpperCAmelCase__     )
                print(F"""Added edge [{u} - {v}]\nAdded weight: {w}\n"""     )
                num_of_components -= 1

       __lowercase								=						[-1] * self.m_num_of_nodes
    print(F"""The total weight of the minimal spanning tree is: {mst_weight}"""     )







def   _A  (  )     ->						None:
   '''simple docstring'''




if __name__ == "__main__":
   import doctest

   doctest.testmod()




