
"""simple docstring"""





_a									=				[[0, 1, 1], [0, 0, 1], [1, 0, 0]]


class A_      :




  '''simple docstring'''







  def __init__(						self							,  lowercase_    ):

     """simple docstring"""
     UpperCAmelCase_   :   Union[str, Any]     	=       name
     UpperCAmelCase_   :   str     	=       []
     UpperCAmelCase_   :   List[Any]     	=       []







  def 			UpperCamelCase__   (						self							,  lowercase_    ):

     """simple docstring"""
     self.inbound.append(lowercase_    )







  def 			UpperCamelCase__   (						self							,  lowercase_    ):

     """simple docstring"""
     self.outbound.append(lowercase_    )







  def __repr__(						self    ):

     """simple docstring"""
     return F"""<node={self.name} inbound={self.inbound} outbound={self.outbound}>"""







def       __a	(						__lowerCamelCase,						__lowerCamelCase=3,						__lowerCamelCase=0.85    ):
   UpperCAmelCase_   :   Optional[int]     	=       {}
   for node in nodes:
      UpperCAmelCase_   :   int     	=       1

   UpperCAmelCase_   :   Optional[int]     	=       {}
   for node in nodes:
      UpperCAmelCase_   :   Union[str, Any]     	=       len(node.outbound    )

   for i in range(__lowerCamelCase    ):
      print(f"""======= Iteration {i + 1} ======="""    )
      for _, node in enumerate(__lowerCamelCase    ):
         UpperCAmelCase_   :   Dict     	=       (1 - d) + d * sum(
             ranks[ib] / outbounds[ib] for ib in node.inbound    )
      print(__lowerCamelCase    )







def       __a	(						):
   UpperCAmelCase_   :   List[Any]     	=       list(input("Enter Names of the Nodes: "    ).split()    )

   UpperCAmelCase_   :   str     	=       [Node(__lowerCamelCase    ) for name in names]

   for ri, row in enumerate(__lowerCamelCase    ):
      for ci, col in enumerate(__lowerCamelCase    ):
         if col == 1:
            nodes[ci].add_inbound(names[ri]    )
            nodes[ri].add_outbound(names[ci]    )

   print("======= Nodes ======="    )
   for node in nodes:
      print(__lowerCamelCase    )

   page_rank(__lowerCamelCase    )


if __name__ == "__main__":
    main()




"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


_a									=				logging.get_logger(__name__)

_a									=				{
    'squeezebert/squeezebert-uncased': (
        'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json'
    ),
    'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json',
    'squeezebert/squeezebert-mnli-headless': (
        'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json'
    ),
}


class A_      (lowercase__ ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__     :		Any    	=						SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
  SCREAMING_SNAKE_CASE__     :		Optional[Any]    	=						"""squeezebert"""







  def __init__(						self							,  lowercase_=3_0522							,  lowercase_=768							,  lowercase_=12							,  lowercase_=12							,  lowercase_=3072							,  lowercase_="gelu"							,  lowercase_=0.1							,  lowercase_=0.1							,  lowercase_=512							,  lowercase_=2							,  lowercase_=0.02							,  lowercase_=1E-1_2							,  lowercase_=0							,  lowercase_=768							,  lowercase_=4							,  lowercase_=4							,  lowercase_=4							,  lowercase_=1							,  lowercase_=4							,  lowercase_=4							,  **lowercase_							,  ):

     """simple docstring"""
     super().__init__(pad_token_id=lowercase_							,  **lowercase_    )

     UpperCAmelCase_   :   List[Any]     	=       vocab_size
     UpperCAmelCase_   :   Optional[Any]     	=       hidden_size
     UpperCAmelCase_   :   Tuple     	=       num_hidden_layers
     UpperCAmelCase_   :   Optional[int]     	=       num_attention_heads
     UpperCAmelCase_   :   Optional[Any]     	=       hidden_act
     UpperCAmelCase_   :   Tuple     	=       intermediate_size
     UpperCAmelCase_   :   Union[str, Any]     	=       hidden_dropout_prob
     UpperCAmelCase_   :   List[Any]     	=       attention_probs_dropout_prob
     UpperCAmelCase_   :   int     	=       max_position_embeddings
     UpperCAmelCase_   :   List[str]     	=       type_vocab_size
     UpperCAmelCase_   :   Optional[Any]     	=       initializer_range
     UpperCAmelCase_   :   Optional[int]     	=       layer_norm_eps
     UpperCAmelCase_   :   Tuple     	=       embedding_size
     UpperCAmelCase_   :   Dict     	=       q_groups
     UpperCAmelCase_   :   List[Any]     	=       k_groups
     UpperCAmelCase_   :   List[str]     	=       v_groups
     UpperCAmelCase_   :   Optional[Any]     	=       post_attention_groups
     UpperCAmelCase_   :   List[str]     	=       intermediate_groups
     UpperCAmelCase_   :   List[Any]     	=       output_groups




class A_      (lowercase__ ):




  '''simple docstring'''







  @property
  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     if self.task == "multiple-choice":
        UpperCAmelCase_   :   List[str]     	=       {0: "batch", 1: "choice", 2: "sequence"}
     else:
        UpperCAmelCase_   :   Optional[int]     	=       {0: "batch", 1: "sequence"}
     return OrderedDict(
         [
             ("input_ids", dynamic_axis),
             ("attention_mask", dynamic_axis),
             ("token_type_ids", dynamic_axis),
         ]    )


