





from dataclasses import asdict, dataclass
from typing import Optional

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


UpperCAmelCase     :     Union[str, Any]							=	logging.get_logger(__name__)

# TODO Update this
UpperCAmelCase     :     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     __lowerCAmelCase	(   UpperCamelCase__):
      _lowercase    : List[Any]            =      """esm"""







      def __init__(   self		,				lowerCAmelCase__=None		,				lowerCAmelCase__=None		,				lowerCAmelCase__=None		,				lowerCAmelCase__=7_6_8		,				lowerCAmelCase__=1_2		,				lowerCAmelCase__=1_2		,				lowerCAmelCase__=3_0_7_2		,				lowerCAmelCase__=0.1		,				lowerCAmelCase__=0.1		,				lowerCAmelCase__=1_0_2_6		,				lowerCAmelCase__=0.02		,				lowerCAmelCase__=1E-12		,				lowerCAmelCase__="absolute"		,				lowerCAmelCase__=True		,				lowerCAmelCase__=None		,				lowerCAmelCase__=False		,				lowerCAmelCase__=False		,				lowerCAmelCase__=None		,				lowerCAmelCase__=None		,				**lowerCAmelCase__		,				)       ->						Any:



        '''simple docstring'''




        super().__init__(pad_token_id=lowerCAmelCase__		,				mask_token_id=lowerCAmelCase__		,				**lowerCAmelCase__							)

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







      def        _lowercase  (   self							)       ->						Union[str, Any]:



        '''simple docstring'''




        a__     : Union[str, Any]  =super().to_dict()
        if isinstance(self.esmfold_config		,				lowerCAmelCase__							):
          a__     : str  =self.esmfold_config.to_dict()
        return output







@dataclass
class     __lowerCAmelCase	:
      _lowercase    : str            =      None
      _lowercase    : bool            =      True
      _lowercase    : bool            =      False
      _lowercase    : bool            =      False
      _lowercase    : bool            =      False
      _lowercase    : float            =      0

      _lowercase    : bool            =      True
      _lowercase    : bool            =      False

      _lowercase    : int            =      128
      _lowercase    : "TrunkConfig"            =      None







      def        _lowercase  (   self							)       ->						Optional[Any]:



        '''simple docstring'''




        if self.trunk is None:
          a__     : int  =TrunkConfig()
        elif isinstance(self.trunk		,				lowerCAmelCase__							):
          a__     : Optional[Any]  =TrunkConfig(**self.trunk							)







      def        _lowercase  (   self							)       ->						List[Any]:



        '''simple docstring'''




        a__     : Tuple  =asdict(self							)
        a__     : Dict  =self.trunk.to_dict()
        return output







@dataclass
class     __lowerCAmelCase	:
      _lowercase    : int            =      48
      _lowercase    : int            =      1024
      _lowercase    : int            =      128
      _lowercase    : int            =      32
      _lowercase    : int            =      32
      _lowercase    : int            =      32
      _lowercase    : float            =      0
      _lowercase    : float            =      0
      _lowercase    : bool            =      False
      _lowercase    : int            =      4
      _lowercase    : Optional[int]            =      128
      _lowercase    : "StructureModuleConfig"            =      None







      def        _lowercase  (   self							)       ->						Dict:



        '''simple docstring'''




        if self.structure_module is None:
          a__     : Optional[Any]  =StructureModuleConfig()
        elif isinstance(self.structure_module		,				lowerCAmelCase__							):
          a__     : List[str]  =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}.'''							)

        a__     : List[str]  =self.sequence_state_dim // self.sequence_head_width
        a__     : Optional[Any]  =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        _lowercase  (   self							)       ->						Tuple:



        '''simple docstring'''




        a__     : Optional[int]  =asdict(self							)
        a__     : Tuple  =self.structure_module.to_dict()
        return output







@dataclass
class     __lowerCAmelCase	:
      _lowercase    : int            =      384
      _lowercase    : int            =      128
      _lowercase    : int            =      16
      _lowercase    : int            =      128
      _lowercase    : int            =      12
      _lowercase    : int            =      4
      _lowercase    : int            =      8
      _lowercase    : float            =      0.1
      _lowercase    : int            =      8
      _lowercase    : int            =      1
      _lowercase    : int            =      2
      _lowercase    : int            =      7
      _lowercase    : int            =      10
      _lowercase    : float            =      1E-8
      _lowercase    : float            =      1E5







      def        _lowercase  (   self							)       ->						Dict:



        '''simple docstring'''




        return asdict(self							)
def 					_A	(		):





  """simple docstring"""



  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>",
  )













from __future__ import annotations







class     __lowerCAmelCase	:







      def __init__(   self		,				lowerCAmelCase__							)       ->						str:



        '''simple docstring'''




        a__     : int  =TypeError(
            "Matrices must be formed from a list of zero or more lists containing at "
            "least one and the same number of values, each of which must be of type "
            "int or float."							)
        if len(lowerCAmelCase__							) != 0:
          a__     : List[str]  =len(rows[0]							)
          if cols == 0:
            raise error
          for row in rows:
            if len(lowerCAmelCase__							) != cols:
              raise error
            for value in row:
              if not isinstance(lowerCAmelCase__		,				(int, float)							):
                raise error
          a__     : List[Any]  =rows
        else:
          a__     : str  =[]







      def        _lowercase  (   self							)       ->						list[list[int]]:



        '''simple docstring'''




        return [[row[i] for row in self.rows] for i in range(len(self.rows[0]							)							)]







      @property
      def        _lowercase  (   self							)       ->						int:



        '''simple docstring'''




        return len(self.rows							)







      @property
      def        _lowercase  (   self							)       ->						int:



        '''simple docstring'''




        return len(self.rows[0]							)







      @property
      def        _lowercase  (   self							)       ->						tuple[int, int]:



        '''simple docstring'''




        return (self.num_rows, self.num_columns)







      @property
      def        _lowercase  (   self							)       ->						bool:



        '''simple docstring'''




        return self.order[0] == self.order[1]







      def        _lowercase  (   self							)       ->						Matrix:



        '''simple docstring'''




        a__     : str  =[
            [0 if column_num != row_num else 1 for column_num in range(self.num_rows							)]
            for row_num in range(self.num_rows							)
        ]
        return Matrix(lowerCAmelCase__							)







      def        _lowercase  (   self							)       ->						int:



        '''simple docstring'''




        if not self.is_square:
          return 0
        if self.order == (0, 0):
          return 1
        if self.order == (1, 1):
          return int(self.rows[0][0]							)
        if self.order == (2, 2):
          return int(
              (self.rows[0][0] * self.rows[1][1])
              - (self.rows[0][1] * self.rows[1][0])							)
        else:
          return sum(
              self.rows[0][column] * self.cofactors().rows[0][column]
              for column in range(self.num_columns							)							)







      def        _lowercase  (   self							)       ->						bool:



        '''simple docstring'''




        return bool(self.determinant()							)







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__							)       ->						int:



        '''simple docstring'''




        a__     : List[str]  =[
            [
                self.rows[other_row][other_column]
                for other_column in range(self.num_columns							)
                if other_column != column
            ]
            for other_row in range(self.num_rows							)
            if other_row != row
        ]
        return Matrix(lowerCAmelCase__							).determinant()







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__							)       ->						int:



        '''simple docstring'''




        if (row + column) % 2 == 0:
          return self.get_minor(lowerCAmelCase__		,				lowerCAmelCase__							)
        return -1 * self.get_minor(lowerCAmelCase__		,				lowerCAmelCase__							)







      def        _lowercase  (   self							)       ->						Matrix:



        '''simple docstring'''




        return Matrix(
            [
                [self.get_minor(lowerCAmelCase__		,				lowerCAmelCase__							) for column in range(self.num_columns							)]
                for row in range(self.num_rows							)
            ]							)







      def        _lowercase  (   self							)       ->						Matrix:



        '''simple docstring'''




        return Matrix(
            [
                [
                    self.minors().rows[row][column]
                    if (row + column) % 2 == 0
                    else self.minors().rows[row][column] * -1
                    for column in range(self.minors().num_columns							)
                ]
                for row in range(self.minors().num_rows							)
            ]							)







      def        _lowercase  (   self							)       ->						Matrix:



        '''simple docstring'''




        a__     : Dict  =[
            [self.cofactors().rows[column][row] for column in range(self.num_columns							)]
            for row in range(self.num_rows							)
        ]
        return Matrix(lowerCAmelCase__							)







      def        _lowercase  (   self							)       ->						Matrix:



        '''simple docstring'''




        a__     : Union[str, Any]  =self.determinant()
        if not determinant:
          raise TypeError("Only matrices with a non-zero determinant have an inverse"							)
        return self.adjugate() * (1 / determinant)







      def __repr__(   self							)       ->						str:



        '''simple docstring'''




        return str(self.rows							)







      def __str__(   self							)       ->						str:



        '''simple docstring'''




        if self.num_rows == 0:
          return "[]"
        if self.num_rows == 1:
          return "[[" + ". ".join(str(self.rows[0]							)							) + "]]"
        return (
            "["
            + "\n ".join(
                [
                    "[" + ". ".join([str(lowerCAmelCase__							) for value in row]							) + ".]"
                    for row in self.rows
                ]							)
            + "]"
        )







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__ = None							)       ->						None:



        '''simple docstring'''




        a__     : List[str]  =TypeError("Row must be a list containing all ints and/or floats"							)
        if not isinstance(lowerCAmelCase__		,				lowerCAmelCase__							):
          raise type_error
        for value in row:
          if not isinstance(lowerCAmelCase__		,				(int, float)							):
            raise type_error
        if len(lowerCAmelCase__							) != self.num_columns:
          raise ValueError(
              "Row must be equal in length to the other rows in the matrix"							)
        if position is None:
          self.rows.append(lowerCAmelCase__							)
        else:
          a__     : Tuple  =self.rows[0:position] + [row] + self.rows[position:]







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__ = None							)       ->						None:



        '''simple docstring'''




        a__     : str  =TypeError(
            "Column must be a list containing all ints and/or floats"							)
        if not isinstance(lowerCAmelCase__		,				lowerCAmelCase__							):
          raise type_error
        for value in column:
          if not isinstance(lowerCAmelCase__		,				(int, float)							):
            raise type_error
        if len(lowerCAmelCase__							) != self.num_rows:
          raise ValueError(
              "Column must be equal in length to the other columns in the matrix"							)
        if position is None:
          a__     : Optional[Any]  =[self.rows[i] + [column[i]] for i in range(self.num_rows							)]
        else:
          a__     : Any  =[
              self.rows[i][0:position] + [column[i]] + self.rows[i][position:]
              for i in range(self.num_rows							)
          ]







      def __eq__(   self		,				lowerCAmelCase__							)       ->						bool:



        '''simple docstring'''




        if not isinstance(lowerCAmelCase__		,				lowerCAmelCase__							):
          return NotImplemented
        return self.rows == other.rows







      def __ne__(   self		,				lowerCAmelCase__							)       ->						bool:



        '''simple docstring'''




        return not self == other







      def __neg__(   self							)       ->						Matrix:



        '''simple docstring'''




        return self * -1







      def __add__(   self		,				lowerCAmelCase__							)       ->						Matrix:



        '''simple docstring'''




        if self.order != other.order:
          raise ValueError("Addition requires matrices of the same order"							)
        return Matrix(
            [
                [self.rows[i][j] + other.rows[i][j] for j in range(self.num_columns							)]
                for i in range(self.num_rows							)
            ]							)







      def __sub__(   self		,				lowerCAmelCase__							)       ->						Matrix:



        '''simple docstring'''




        if self.order != other.order:
          raise ValueError("Subtraction requires matrices of the same order"							)
        return Matrix(
            [
                [self.rows[i][j] - other.rows[i][j] for j in range(self.num_columns							)]
                for i in range(self.num_rows							)
            ]							)







      def __mul__(   self		,				lowerCAmelCase__							)       ->						Matrix:



        '''simple docstring'''




        if isinstance(lowerCAmelCase__		,				(int, float)							):
          return Matrix(
              [[int(element * other							) for element in row] for row in self.rows]							)
        elif isinstance(lowerCAmelCase__		,				lowerCAmelCase__							):
          if self.num_columns != other.num_rows:
            raise ValueError(
                "The number of columns in the first matrix must "
                "be equal to the number of rows in the second"							)
          return Matrix(
              [
                  [Matrix.dot_product(lowerCAmelCase__		,				lowerCAmelCase__							) for column in other.columns()]
                  for row in self.rows
              ]							)
        else:
          raise TypeError(
              "A Matrix can only be multiplied by an int, float, or another matrix"							)







      def __pow__(   self		,				lowerCAmelCase__							)       ->						Matrix:



        '''simple docstring'''




        if not isinstance(lowerCAmelCase__		,				lowerCAmelCase__							):
          raise TypeError("A Matrix can only be raised to the power of an int"							)
        if not self.is_square:
          raise ValueError("Only square matrices can be raised to a power"							)
        if other == 0:
          return self.identity()
        if other < 0:
          if self.is_invertable():
            return self.inverse() ** (-other)
          raise ValueError(
              "Only invertable matrices can be raised to a negative power"							)
        a__     : Tuple  =self
        for _ in range(other - 1							):
          result *= self
        return result







      @classmethod
      def        _lowercase  (   cls		,				lowerCAmelCase__		,				lowerCAmelCase__							)       ->						int:



        '''simple docstring'''




        return sum(row[i] * column[i] for i in range(len(lowerCAmelCase__							)							)							)


if __name__ == "__main__":
     import doctest

     doctest.testmod()






