



"""simple docstring"""
from dataclasses import asdict, dataclass
from typing import Optional

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


_lowerCAmelCase    :List[Any]     =					logging.get_logger(__name__)

# TODO Update this
_lowerCAmelCase    :List[str]     =					{
    'facebook/esm-1b': 'https://huggingface.co/facebook/esm-1b/resolve/main/config.json',
    # See all ESM models at https://huggingface.co/models?filter=esm
}
class 							_UpperCAmelCase							( a      ):





     '''simple docstring'''



     a__									='''esm'''





     def __init__(					self       ,	A=None       ,	A=None       ,	A=None       ,	A=7_6_8       ,	A=1_2       ,	A=1_2       ,	A=3_0_7_2       ,	A=0.1       ,	A=0.1       ,	A=1_0_2_6       ,	A=0.02       ,	A=1E-12       ,	A="absolute"       ,	A=True       ,	A=None       ,	A=False       ,	A=False       ,	A=None       ,	A=None       ,	**A       ,	)							->					List[Any]:
         super().__init__(pad_token_id=A       ,	mask_token_id=A       ,	**A		)

         _UpperCAmelCase							:  Union[str, Any]											=    vocab_size
         _UpperCAmelCase							:  Dict											=    hidden_size
         _UpperCAmelCase							:  List[str]											=    num_hidden_layers
         _UpperCAmelCase							:  List[str]											=    num_attention_heads
         _UpperCAmelCase							:  Optional[Any]											=    intermediate_size
         _UpperCAmelCase							:  Optional[Any]											=    hidden_dropout_prob
         _UpperCAmelCase							:  str											=    attention_probs_dropout_prob
         _UpperCAmelCase							:  int											=    max_position_embeddings
         _UpperCAmelCase							:  Optional[Any]											=    initializer_range
         _UpperCAmelCase							:  Tuple											=    layer_norm_eps
         _UpperCAmelCase							:  List[str]											=    position_embedding_type
         _UpperCAmelCase							:  List[Any]											=    use_cache
         _UpperCAmelCase							:  Optional[Any]											=    emb_layer_norm_before
         _UpperCAmelCase							:  Optional[int]											=    token_dropout
         _UpperCAmelCase							:  List[Any]											=    is_folding_model
         if is_folding_model:
             if esmfold_config is None:
                 logger.info('''No esmfold_config supplied for folding model, using default values.'''		)
                 _UpperCAmelCase							:  int											=    EsmFoldConfig()
             elif isinstance(A       ,	A		):
                 _UpperCAmelCase							:  Optional[int]											=    EsmFoldConfig(**A		)
             _UpperCAmelCase							:  Tuple											=    esmfold_config
             if vocab_list is None:
                 logger.warning('''No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!'''		)
                 _UpperCAmelCase							:  Tuple											=    get_default_vocab_list()
             else:
                 _UpperCAmelCase							:  List[str]											=    vocab_list
         else:
             _UpperCAmelCase							:  List[str]											=    None
             _UpperCAmelCase							:  int											=    None
         if self.esmfold_config is not None and getattr(self.esmfold_config       ,	'''use_esm_attn_map'''       ,	A		):
             raise ValueError('''The HuggingFace port of ESMFold does not support use_esm_attn_map at this time!'''		)





     def  __lowerCAmelCase	(					self		)							->					Dict:
         _UpperCAmelCase							:  str											=    super().to_dict()
         if isinstance(self.esmfold_config       ,	A		):
             _UpperCAmelCase							:  List[str]											=    self.esmfold_config.to_dict()
         return output



@dataclass
class 							_UpperCAmelCase							:





     '''simple docstring'''



     a__									=None
     a__									=True
     a__									=False
     a__									=False
     a__									=False
     a__									=0

     a__									=True
     a__									=False

     a__									=1_2_8
     a__									=None





     def  __lowerCAmelCase	(					self		)							->					str:
         if self.trunk is None:
             _UpperCAmelCase							:  List[str]											=    TrunkConfig()
         elif isinstance(self.trunk       ,	A		):
             _UpperCAmelCase							:  List[Any]											=    TrunkConfig(**self.trunk		)





     def  __lowerCAmelCase	(					self		)							->					Any:
         _UpperCAmelCase							:  List[Any]											=    asdict(self		)
         _UpperCAmelCase							:  Optional[Any]											=    self.trunk.to_dict()
         return output



@dataclass
class 							_UpperCAmelCase							:





     '''simple docstring'''



     a__									=4_8
     a__									=1_0_2_4
     a__									=1_2_8
     a__									=3_2
     a__									=3_2
     a__									=3_2
     a__									=0
     a__									=0
     a__									=False
     a__									=4
     a__									=1_2_8
     a__									=None





     def  __lowerCAmelCase	(					self		)							->					List[str]:
         if self.structure_module is None:
             _UpperCAmelCase							:  int											=    StructureModuleConfig()
         elif isinstance(self.structure_module       ,	A		):
             _UpperCAmelCase							:  Optional[int]											=    StructureModuleConfig(**self.structure_module		)

         if self.max_recycles <= 0:
             raise ValueError(f'`max_recycles` should be positive, got {self.max_recycles}.'		)
         if self.sequence_state_dim % self.sequence_state_dim != 0:
             raise ValueError(
                 '''`sequence_state_dim` should be a round multiple of `sequence_state_dim`, got'''
                 f' {self.sequence_state_dim} and {self.sequence_state_dim}.'		)
         if self.pairwise_state_dim % self.pairwise_state_dim != 0:
             raise ValueError(
                 '''`pairwise_state_dim` should be a round multiple of `pairwise_state_dim`, got'''
                 f' {self.pairwise_state_dim} and {self.pairwise_state_dim}.'		)

         _UpperCAmelCase							:  Any											=    self.sequence_state_dim // self.sequence_head_width
         _UpperCAmelCase							:  Dict											=    self.pairwise_state_dim // self.pairwise_head_width

         if self.sequence_state_dim != sequence_num_heads * self.sequence_head_width:
             raise ValueError(
                 '''`sequence_state_dim` should be equal to `sequence_num_heads * sequence_head_width, got'''
                 f' {self.sequence_state_dim} != {sequence_num_heads} * {self.sequence_head_width}.'		)
         if self.pairwise_state_dim != pairwise_num_heads * self.pairwise_head_width:
             raise ValueError(
                 '''`pairwise_state_dim` should be equal to `pairwise_num_heads * pairwise_head_width, got'''
                 f' {self.pairwise_state_dim} != {pairwise_num_heads} * {self.pairwise_head_width}.'		)
         if self.pairwise_state_dim % 2 != 0:
             raise ValueError(f'`pairwise_state_dim` should be even, got {self.pairwise_state_dim}.'		)

         if self.dropout >= 0.4:
             raise ValueError(f'`dropout` should not be greater than 0.4, got {self.dropout}.'		)





     def  __lowerCAmelCase	(					self		)							->					Any:
         _UpperCAmelCase							:  Optional[Any]											=    asdict(self		)
         _UpperCAmelCase							:  Optional[Any]											=    self.structure_module.to_dict()
         return output



@dataclass
class 							_UpperCAmelCase							:





     '''simple docstring'''



     a__									=3_8_4
     a__									=1_2_8
     a__									=1_6
     a__									=1_2_8
     a__									=1_2
     a__									=4
     a__									=8
     a__									=0.1
     a__									=8
     a__									=1
     a__									=2
     a__									=7
     a__									=1_0
     a__									=1e-8
     a__									=1e5





     def  __lowerCAmelCase	(					self		)							->					str:
         return asdict(self		)





def  lowerCamelCase_						():
    return (
        "<cls>",
        "<pad>",
        "<eos>",
        "<unk>",
        "L",
        "A",
        "G",
        "V",
        "S",
        "E",
        "R",
        "T",
        "I",
        "D",
        "P",
        "K",
        "Q",
        "N",
        "F",
        "Y",
        "M",
        "H",
        "W",
        "C",
        "X",
        "B",
        "U",
        "Z",
        "O",
        ".",
        "-",
        "<null_1>",
        "<mask>",
    )







"""simple docstring"""
from __future__ import annotations

import math





def  lowerCamelCase_						(UpperCamelCase__		:		int     ,       UpperCamelCase__		:		int     ,       UpperCamelCase__		:		bool     ,       UpperCamelCase__		:		list[int]     ,       UpperCamelCase__		:		float							):

    if depth < 0:
        raise ValueError('''Depth cannot be less than 0'''							)

    if len(UpperCamelCase__							) == 0:
        raise ValueError('''Scores cannot be empty'''							)

    if depth == height:
        return scores[node_index]

    if is_max:
        return max(
            minimax(depth + 1     ,       node_index * 2     ,       UpperCamelCase__     ,       UpperCamelCase__     ,       UpperCamelCase__							)     ,       minimax(depth + 1     ,       node_index * 2 + 1     ,       UpperCamelCase__     ,       UpperCamelCase__     ,       UpperCamelCase__							)     ,       )

    return min(
        minimax(depth + 1     ,       node_index * 2     ,       UpperCamelCase__     ,       UpperCamelCase__     ,       UpperCamelCase__							)     ,       minimax(depth + 1     ,       node_index * 2 + 1     ,       UpperCamelCase__     ,       UpperCamelCase__     ,       UpperCamelCase__							)     ,       )





def  lowerCamelCase_						():
    _UpperCAmelCase							:  Any											=    [90, 23, 6, 33, 21, 65, 123, 3_4423]
    _UpperCAmelCase							:  Any											=    math.log(len(UpperCamelCase__							)     ,       2							)
    print('''Optimal value : '''     ,       end=''''''							)
    print(minimax(0     ,       0     ,       UpperCamelCase__     ,       UpperCamelCase__     ,       UpperCamelCase__							)							)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()


