"""simple docstring"""


import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__     						=  logging.get_logger(__name__)

UpperCAmelCase__     						=  {
    """google/pix2struct-textcaps-base""": (
        """https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json"""
    ),
}


class 				a (						lowerCAmelCase_      ):
    _snake_case   :     Optional[int]   							=							'pix2struct_text_model'
    _snake_case   :     Dict   							=							['past_key_values']
    _snake_case   :     Union[str, Any]   							=							{
        'hidden_size': 'hidden_size',
        'num_attention_heads': 'num_heads',
        'num_hidden_layers': 'num_layers',
    }


    def __init__(    self		:     Any      , __lowerCAmelCase		:     List[Any]=5_0244      , __lowerCAmelCase		:     Dict=768      , __lowerCAmelCase		:     int=64      , __lowerCAmelCase		:     Optional[Any]=2048      , __lowerCAmelCase		:     Dict=12      , __lowerCAmelCase		:     Dict=12      , __lowerCAmelCase		:     int=32      , __lowerCAmelCase		:     Optional[int]=128      , __lowerCAmelCase		:     str=0.1      , __lowerCAmelCase		:     Union[str, Any]=1e-6      , __lowerCAmelCase		:     List[str]=1.0      , __lowerCAmelCase		:     int="gelu_new"      , __lowerCAmelCase		:     List[str]=0      , __lowerCAmelCase		:     Optional[int]=False      , __lowerCAmelCase		:     Dict=0      , __lowerCAmelCase		:     str=1      , __lowerCAmelCase		:     Optional[Any]=False      , __lowerCAmelCase		:     Dict=True      , **__lowerCAmelCase		:     Union[str, Any]      , ):
      _UpperCAmelCase         =					vocab_size
      _UpperCAmelCase         =					hidden_size
      _UpperCAmelCase         =					d_kv
      _UpperCAmelCase         =					d_ff
      _UpperCAmelCase         =					num_layers
      _UpperCAmelCase         =					num_heads
      _UpperCAmelCase         =					relative_attention_num_buckets
      _UpperCAmelCase         =					relative_attention_max_distance
      _UpperCAmelCase         =					dropout_rate
      _UpperCAmelCase         =					layer_norm_epsilon
      _UpperCAmelCase         =					initializer_factor
      _UpperCAmelCase         =					use_cache

      _UpperCAmelCase         =					eos_token_id
      _UpperCAmelCase         =					decoder_start_token_id

      # for backwards compatibility
      _UpperCAmelCase         =					dense_act_fn

      super().__init__(
          pad_token_id=__lowerCAmelCase      , eos_token_id=__lowerCAmelCase      , decoder_start_token_id=__lowerCAmelCase      , tie_word_embeddings=__lowerCAmelCase      , is_decoder=__lowerCAmelCase      , **__lowerCAmelCase      , )


    @classmethod
    def    lowerCAmelCase_     (    cls		:     Any      , __lowerCAmelCase		:     Union[str, os.PathLike]      , **__lowerCAmelCase		:     Union[str, Any]    ):
      cls._set_token_in_kwargs(__lowerCAmelCase    )

      _UpperCAmelCase       , _UpperCAmelCase         =					cls.get_config_dict(__lowerCAmelCase      , **__lowerCAmelCase    )

      # get the text config dict if we are loading from Pix2StructConfig
      if config_dict.get("""model_type"""    ) == "pix2struct":
        _UpperCAmelCase         =					config_dict["""text_config"""]

      if "model_type" in config_dict and hasattr(cls      , """model_type"""    ) and config_dict["model_type"] != cls.model_type:
        logger.warning(
            f'''You are using a model of type {config_dict["model_type"]} to instantiate a model of type '''
            f'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''    )

      return cls.from_dict(__lowerCAmelCase      , **__lowerCAmelCase    )



class 				a (						lowerCAmelCase_      ):
    _snake_case   :     Tuple   							=							'pix2struct_vision_model'


    def __init__(    self		:     Any      , __lowerCAmelCase		:     List[str]=768      , __lowerCAmelCase		:     List[str]=768      , __lowerCAmelCase		:     int=2048      , __lowerCAmelCase		:     Optional[int]=64      , __lowerCAmelCase		:     List[str]=12      , __lowerCAmelCase		:     Union[str, Any]=12      , __lowerCAmelCase		:     Optional[int]="gelu_new"      , __lowerCAmelCase		:     Optional[int]=1e-6      , __lowerCAmelCase		:     Optional[int]=0.0      , __lowerCAmelCase		:     int=0.0      , __lowerCAmelCase		:     Optional[Any]=1e-1_0      , __lowerCAmelCase		:     Optional[int]=1.0      , __lowerCAmelCase		:     Any=4096      , __lowerCAmelCase		:     List[Any]=32      , __lowerCAmelCase		:     Optional[int]=128      , **__lowerCAmelCase		:     List[Any]      , ):
      super().__init__(**__lowerCAmelCase    )

      _UpperCAmelCase         =					hidden_size
      _UpperCAmelCase         =					patch_embed_hidden_size
      _UpperCAmelCase         =					d_ff
      _UpperCAmelCase         =					dropout_rate
      _UpperCAmelCase         =					num_hidden_layers
      _UpperCAmelCase         =					num_attention_heads
      _UpperCAmelCase         =					initializer_range
      _UpperCAmelCase         =					initializer_factor
      _UpperCAmelCase         =					attention_dropout
      _UpperCAmelCase         =					layer_norm_eps
      _UpperCAmelCase         =					dense_act_fn
      _UpperCAmelCase         =					seq_len
      _UpperCAmelCase         =					relative_attention_num_buckets
      _UpperCAmelCase         =					relative_attention_max_distance
      _UpperCAmelCase         =					d_kv


    @classmethod
    def    lowerCAmelCase_     (    cls		:     int      , __lowerCAmelCase		:     Union[str, os.PathLike]      , **__lowerCAmelCase		:     Optional[int]    ):
      cls._set_token_in_kwargs(__lowerCAmelCase    )

      _UpperCAmelCase       , _UpperCAmelCase         =					cls.get_config_dict(__lowerCAmelCase      , **__lowerCAmelCase    )

      # get the vision config dict if we are loading from Pix2StructConfig
      if config_dict.get("""model_type"""    ) == "pix2struct":
        _UpperCAmelCase         =					config_dict["""vision_config"""]

      if "model_type" in config_dict and hasattr(cls      , """model_type"""    ) and config_dict["model_type"] != cls.model_type:
        logger.warning(
            f'''You are using a model of type {config_dict["model_type"]} to instantiate a model of type '''
            f'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''    )

      return cls.from_dict(__lowerCAmelCase      , **__lowerCAmelCase    )



class 				a (						lowerCAmelCase_      ):
    _snake_case   :     Any   							=							'pix2struct'
    _snake_case   :     Any   							=							True


    def __init__(    self		:     Optional[int]      , __lowerCAmelCase		:     Dict=None      , __lowerCAmelCase		:     Any=None      , __lowerCAmelCase		:     Dict=1.0      , __lowerCAmelCase		:     List[Any]=0.02      , __lowerCAmelCase		:     List[str]=False      , __lowerCAmelCase		:     int=False      , __lowerCAmelCase		:     Dict=True      , **__lowerCAmelCase		:     Any      , ):
      super().__init__(tie_word_embeddings=__lowerCAmelCase      , is_encoder_decoder=__lowerCAmelCase      , **__lowerCAmelCase    )

      if text_config is None:
        _UpperCAmelCase         =					{}
        logger.info("""text_config is None. Initializing the Pix2StructTextConfig with default values."""    )

      if vision_config is None:
        _UpperCAmelCase         =					{}
        logger.info("""vision_config is None. Initializing the Pix2StructVisionConfig with default values."""    )

      _UpperCAmelCase         =					PixaStructTextConfig(**__lowerCAmelCase    )
      _UpperCAmelCase         =					PixaStructVisionConfig(**__lowerCAmelCase    )

      _UpperCAmelCase         =					self.text_config.decoder_start_token_id
      _UpperCAmelCase         =					self.text_config.pad_token_id
      _UpperCAmelCase         =					self.text_config.eos_token_id

      _UpperCAmelCase         =					initializer_factor
      _UpperCAmelCase         =					initializer_range

      _UpperCAmelCase         =					self.initializer_range
      _UpperCAmelCase         =					self.initializer_range

      _UpperCAmelCase         =					is_vqa


    @classmethod
    def    lowerCAmelCase_     (    cls		:     Any      , __lowerCAmelCase		:     PixaStructTextConfig      , __lowerCAmelCase		:     PixaStructVisionConfig      , **__lowerCAmelCase		:     Dict    ):
      return cls(text_config=text_config.to_dict()      , vision_config=vision_config.to_dict()      , **__lowerCAmelCase    )


    def    lowerCAmelCase_     (    self		:     Dict    ):
      _UpperCAmelCase         =					copy.deepcopy(self.__dict__    )
      _UpperCAmelCase         =					self.text_config.to_dict()
      _UpperCAmelCase         =					self.vision_config.to_dict()
      _UpperCAmelCase         =					self.__class__.model_type
      return output

"""simple docstring"""


from __future__ import annotations

from collections import Counter
from random import random


class 				a :


    def __init__(    self		:     Union[str, Any]    ):
      _UpperCAmelCase         =					{}


    def    lowerCAmelCase_     (    self		:     Optional[int]      , __lowerCAmelCase		:     str    ):
      _UpperCAmelCase         =					{}


    def    lowerCAmelCase_     (    self		:     str      , __lowerCAmelCase		:     str      , __lowerCAmelCase		:     str      , __lowerCAmelCase		:     float    ):
      if nodea not in self.connections:
        self.add_node(__lowerCAmelCase    )
      if nodea not in self.connections:
        self.add_node(__lowerCAmelCase    )
      _UpperCAmelCase         =					probability


    def    lowerCAmelCase_     (    self		:     Optional[Any]    ):
      return list(self.connections    )


    def    lowerCAmelCase_     (    self		:     List[Any]      , __lowerCAmelCase		:     str    ):
      _UpperCAmelCase         =					0
      _UpperCAmelCase         =					random()

      for dest in self.connections[node]:
        current_probability += self.connections[node][dest]
        if current_probability > random_value:
          return dest
      return ""






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase						):







  """simple docstring"""
  _UpperCAmelCase         =					MarkovChainGraphUndirectedUnweighted()

  for nodea, nodea, probability in transitions:
    graph.add_transition_probability(lowercase      ,lowercase      ,lowercase						)

  _UpperCAmelCase         =					Counter(graph.get_nodes()						)
  _UpperCAmelCase         =					start

  for _ in range(lowercase						):
    _UpperCAmelCase         =					graph.transition(lowercase						)
    visited[node] += 1

  return visited


if __name__ == "__main__":
    import doctest

    doctest.testmod()
