


'''simple docstring'''

import copy
import os
from typing import Union

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


lowerCamelCase							:   Any  						=	logging.get_logger(__name__)

lowerCamelCase							:   Optional[Any]  						=	{
    "google/pix2struct-textcaps-base": (
        "https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json"
    ),
}
class   __lowerCAmelCase						(lowercase__     ):





      '''simple docstring'''






      lowerCAmelCase__					:     List[Any]  					=							"""pix2struct_text_model"""
      lowerCAmelCase__					:     Tuple  					=							["""past_key_values"""]
      lowerCAmelCase__					:     Optional[Any]  					=							{
          """hidden_size""": """hidden_size""",
          """num_attention_heads""": """num_heads""",
          """num_hidden_layers""": """num_layers""",
      }



      def __init__(self    :    int   ,						UpperCamelCase    :    Optional[Any]=50244   ,						UpperCamelCase    :    Optional[Any]=768   ,						UpperCamelCase    :    Optional[int]=64   ,						UpperCamelCase    :    str=2048   ,						UpperCamelCase    :    str=12   ,						UpperCamelCase    :    Tuple=12   ,						UpperCamelCase    :    str=32   ,						UpperCamelCase    :    str=128   ,						UpperCamelCase    :    Tuple=0.1   ,						UpperCamelCase    :    int=1E-6   ,						UpperCamelCase    :    str=1.0   ,						UpperCamelCase    :    Optional[int]="gelu_new"   ,						UpperCamelCase    :    List[Any]=0   ,						UpperCamelCase    :    Any=False   ,						UpperCamelCase    :    List[str]=0   ,						UpperCamelCase    :    str=1   ,						UpperCamelCase    :    List[str]=False   ,						UpperCamelCase    :    Dict=True   ,						**UpperCamelCase    :    Union[str, Any]   ,						):

             '''simple docstring'''







             lowercase__      			= vocab_size
             lowercase__      			= hidden_size
             lowercase__      			= d_kv
             lowercase__      			= d_ff
             lowercase__      			= num_layers
             lowercase__      			= num_heads
             lowercase__      			= relative_attention_num_buckets
             lowercase__      			= relative_attention_max_distance
             lowercase__      			= dropout_rate
             lowercase__      			= layer_norm_epsilon
             lowercase__      			= initializer_factor
             lowercase__      			= use_cache

             lowercase__      			= eos_token_id
             lowercase__      			= decoder_start_token_id

             # for backwards compatibility
             lowercase__      			= 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       UpperCamelCase__		(cls    :    Dict   ,						UpperCamelCase    :    Union[str, os.PathLike]   ,						**UpperCamelCase    :    Dict ):

             '''simple docstring'''







             cls._set_token_in_kwargs(__lowerCamelCase )

             lowercase__      			= cls.get_config_dict(__lowerCamelCase   ,						**__lowerCamelCase )

             # get the text config dict if we are loading from Pix2StructConfig
             if config_dict.get('''model_type''' ) == "pix2struct":
                    lowercase__      			= 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   __lowerCAmelCase						(lowercase__     ):





      '''simple docstring'''






      lowerCAmelCase__					:     Optional[Any]  					=							"""pix2struct_vision_model"""



      def __init__(self    :    List[str]   ,						UpperCamelCase    :    Union[str, Any]=768   ,						UpperCamelCase    :    List[Any]=768   ,						UpperCamelCase    :    Union[str, Any]=2048   ,						UpperCamelCase    :    Union[str, Any]=64   ,						UpperCamelCase    :    str=12   ,						UpperCamelCase    :    Optional[Any]=12   ,						UpperCamelCase    :    Optional[int]="gelu_new"   ,						UpperCamelCase    :    int=1E-6   ,						UpperCamelCase    :    str=0.0   ,						UpperCamelCase    :    str=0.0   ,						UpperCamelCase    :    Optional[Any]=1E-10   ,						UpperCamelCase    :    List[str]=1.0   ,						UpperCamelCase    :    Optional[int]=4096   ,						UpperCamelCase    :    int=32   ,						UpperCamelCase    :    Union[str, Any]=128   ,						**UpperCamelCase    :    Optional[int]   ,						):

             '''simple docstring'''







             super().__init__(**__lowerCamelCase )

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






      @classmethod
      def       UpperCamelCase__		(cls    :    Optional[Any]   ,						UpperCamelCase    :    Union[str, os.PathLike]   ,						**UpperCamelCase    :    Optional[int] ):

             '''simple docstring'''







             cls._set_token_in_kwargs(__lowerCamelCase )

             lowercase__      			= cls.get_config_dict(__lowerCamelCase   ,						**__lowerCamelCase )

             # get the vision config dict if we are loading from Pix2StructConfig
             if config_dict.get('''model_type''' ) == "pix2struct":
                    lowercase__      			= 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   __lowerCAmelCase						(lowercase__     ):





      '''simple docstring'''






      lowerCAmelCase__					:     Dict  					=							"""pix2struct"""
      lowerCAmelCase__					:     str  					=							True



      def __init__(self    :    Union[str, Any]   ,						UpperCamelCase    :    List[Any]=None   ,						UpperCamelCase    :    Optional[int]=None   ,						UpperCamelCase    :    str=1.0   ,						UpperCamelCase    :    Optional[Any]=0.02   ,						UpperCamelCase    :    Dict=False   ,						UpperCamelCase    :    List[Any]=False   ,						UpperCamelCase    :    Dict=True   ,						**UpperCamelCase    :    List[str]   ,						):

             '''simple docstring'''







             super().__init__(tie_word_embeddings=__lowerCamelCase   ,						is_encoder_decoder=__lowerCamelCase   ,						**__lowerCamelCase )

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

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

             lowercase__      			= PixaStructTextConfig(**__lowerCamelCase )
             lowercase__      			= PixaStructVisionConfig(**__lowerCamelCase )

             lowercase__      			= self.text_config.decoder_start_token_id
             lowercase__      			= self.text_config.pad_token_id
             lowercase__      			= self.text_config.eos_token_id

             lowercase__      			= initializer_factor
             lowercase__      			= initializer_range

             lowercase__      			= self.initializer_range
             lowercase__      			= self.initializer_range

             lowercase__      			= is_vqa



      @classmethod
      def       UpperCamelCase__		(cls    :    Dict   ,						UpperCamelCase    :    PixaStructTextConfig   ,						UpperCamelCase    :    PixaStructVisionConfig   ,						**UpperCamelCase    :    int ):

             '''simple docstring'''







             return cls(text_config=text_config.to_dict()   ,						vision_config=vision_config.to_dict()   ,						**__lowerCamelCase )






      def       UpperCamelCase__		(self    :    Dict ):

             '''simple docstring'''







             lowercase__      			= copy.deepcopy(self.__dict__ )
             lowercase__      			= self.text_config.to_dict()
             lowercase__      			= self.vision_config.to_dict()
             lowercase__      			= self.__class__.model_type
             return output








def       lowercase_		(		_A			:    int    ,					_A			:    list						):

      """simple docstring"""




      _enforce_args(_A    ,					_A						)
      if n == 0:
            return 0
      lowerCamelCase__		:				Union[str, Any]    =  float("-inf"						)
      for i in range(1    ,					n + 1						):
            lowerCamelCase__		:				int    =  max(
                _A    ,					prices[i - 1] + naive_cut_rod_recursive(n - i    ,					_A						)						)

      return max_revue

def       lowercase_		(		_A			:    int    ,					_A			:    list						):

      """simple docstring"""




      _enforce_args(_A    ,					_A						)
      lowerCamelCase__		:				int    =  [float("-inf"						) for _ in range(n + 1						)]
      return _top_down_cut_rod_recursive(_A    ,					_A    ,					_A						)

def       lowercase_		(		_A			:    int    ,					_A			:    list    ,					_A			:    list						):

      """simple docstring"""




      if max_rev[n] >= 0:
            return max_rev[n]
      elif n == 0:
            return 0
      else:
            lowerCamelCase__		:				Dict    =  float("-inf"						)
            for i in range(1    ,					n + 1						):
                  lowerCamelCase__		:				int    =  max(
                      _A    ,					prices[i - 1] + _top_down_cut_rod_recursive(n - i    ,					_A    ,					_A						)    ,					)

            lowerCamelCase__		:				List[Any]    =  max_revenue

      return max_rev[n]

def       lowercase_		(		_A			:    int    ,					_A			:    list						):

      """simple docstring"""




      _enforce_args(_A    ,					_A						)

      # length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
      # length 0.
      lowerCamelCase__		:				int    =  [float("-inf"						) for _ in range(n + 1						)]
      lowerCamelCase__		:				Optional[int]    =  0

      for i in range(1    ,					n + 1						):
            lowerCamelCase__		:				Union[str, Any]    =  max_rev[i]
            for j in range(1    ,					i + 1						):
                  lowerCamelCase__		:				Any    =  max(_A    ,					prices[j - 1] + max_rev[i - j]						)

            lowerCamelCase__		:				Any    =  max_revenue_i

      return max_rev[n]

def       lowercase_		(		_A			:    int    ,					_A			:    list						):

      """simple docstring"""




      if n < 0:
            lowerCamelCase__		:				Optional[int]    =  F"n must be greater than or equal to 0. Got n = {n}"
            raise ValueError(_A						)

      if n > len(_A						):
            lowerCamelCase__		:				Optional[int]    =  (
                "Each integral piece of rod must have a corresponding price. "
                F"Got n = {n} but length of prices = {len(_A						)}"
            )
            raise ValueError(_A						)

def       lowercase_		(		):

      """simple docstring"""




      lowerCamelCase__		:				Optional[Any]    =  [6, 10, 12, 15, 20, 23]
      lowerCamelCase__		:				Dict    =  len(_A						)

      # the best revenue comes from cutting the rod into 6 pieces, each
      # of length 1 resulting in a revenue of 6 * 6 = 36.
      lowerCamelCase__		:				int    =  36

      lowerCamelCase__		:				List[Any]    =  top_down_cut_rod(_A    ,					_A						)
      lowerCamelCase__		:				List[Any]    =  bottom_up_cut_rod(_A    ,					_A						)
      lowerCamelCase__		:				List[Any]    =  naive_cut_rod_recursive(_A    ,					_A						)

      assert expected_max_revenue == max_rev_top_down
      assert max_rev_top_down == max_rev_bottom_up
      assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
    main()


