'''simple docstring'''

from dataclasses import asdict, dataclass
from typing import Optional

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


UpperCamelCase__     :	Optional[Any]				=			logging.get_logger(__name__)

# TODO Update this
UpperCamelCase__     :	Tuple				=			{
    '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 				_lowercase	(      snake_case__   ):
      '''simple docstring'''


      UpperCAmelCase_      :      int      							=   '''esm'''




      def __init__(				self					,lowerCamelCase_=None					,lowerCamelCase_=None					,lowerCamelCase_=None					,lowerCamelCase_=768					,lowerCamelCase_=12					,lowerCamelCase_=12					,lowerCamelCase_=3072					,lowerCamelCase_=0.1					,lowerCamelCase_=0.1					,lowerCamelCase_=1026					,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=lowercase_					,mask_token_id=lowercase_					,**lowercase_							)

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




      def 		lowerCAmelCase__					(				self							)			->			List[str]:



         '''simple docstring'''



         UpperCAmelCase__							:				List[Any]   				=  super().to_dict()
         if isinstance(self.esmfold_config					,lowercase_							):
            UpperCAmelCase__							:				Tuple   				=  self.esmfold_config.to_dict()
         return output





@dataclass
class 				_lowercase	:
      '''simple docstring'''


      UpperCAmelCase_      :      Union[str, Any]      							=   None
      UpperCAmelCase_      :      List[Any]      							=   True
      UpperCAmelCase_      :      List[str]      							=   False
      UpperCAmelCase_      :      Optional[Any]      							=   False
      UpperCAmelCase_      :      int      							=   False
      UpperCAmelCase_      :      int      							=   0

      UpperCAmelCase_      :      Dict      							=   True
      UpperCAmelCase_      :      int      							=   False

      UpperCAmelCase_      :      List[str]      							=   1_28
      UpperCAmelCase_      :      Optional[Any]      							=   None




      def 		lowerCAmelCase__					(				self							)			->			Optional[int]:



         '''simple docstring'''



         if self.trunk is None:
            UpperCAmelCase__							:				List[str]   				=  TrunkConfig()
         elif isinstance(self.trunk					,lowercase_							):
            UpperCAmelCase__							:				str   				=  TrunkConfig(**self.trunk							)




      def 		lowerCAmelCase__					(				self							)			->			List[str]:



         '''simple docstring'''



         UpperCAmelCase__							:				str   				=  asdict(self							)
         UpperCAmelCase__							:				Optional[Any]   				=  self.trunk.to_dict()
         return output





@dataclass
class 				_lowercase	:
      '''simple docstring'''


      UpperCAmelCase_      :      Any      							=   48
      UpperCAmelCase_      :      Optional[Any]      							=   10_24
      UpperCAmelCase_      :      Tuple      							=   1_28
      UpperCAmelCase_      :      str      							=   32
      UpperCAmelCase_      :      Tuple      							=   32
      UpperCAmelCase_      :      List[Any]      							=   32
      UpperCAmelCase_      :      Optional[int]      							=   0
      UpperCAmelCase_      :      Optional[int]      							=   0
      UpperCAmelCase_      :      str      							=   False
      UpperCAmelCase_      :      List[Any]      							=   4
      UpperCAmelCase_      :      List[str]      							=   1_28
      UpperCAmelCase_      :      Dict      							=   None




      def 		lowerCAmelCase__					(				self							)			->			Any:



         '''simple docstring'''



         if self.structure_module is None:
            UpperCAmelCase__							:				str   				=  StructureModuleConfig()
         elif isinstance(self.structure_module					,lowercase_							):
            UpperCAmelCase__							:				List[Any]   				=  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__							:				str   				=  self.sequence_state_dim // self.sequence_head_width
         UpperCAmelCase__							:				Tuple   				=  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							)			->			Optional[Any]:



         '''simple docstring'''



         UpperCAmelCase__							:				str   				=  asdict(self							)
         UpperCAmelCase__							:				int   				=  self.structure_module.to_dict()
         return output





@dataclass
class 				_lowercase	:
      '''simple docstring'''


      UpperCAmelCase_      :      Dict      							=   3_84
      UpperCAmelCase_      :      List[str]      							=   1_28
      UpperCAmelCase_      :      Any      							=   16
      UpperCAmelCase_      :      Tuple      							=   1_28
      UpperCAmelCase_      :      int      							=   12
      UpperCAmelCase_      :      Any      							=   4
      UpperCAmelCase_      :      Any      							=   8
      UpperCAmelCase_      :      Dict      							=   0.1
      UpperCAmelCase_      :      Any      							=   8
      UpperCAmelCase_      :      Optional[Any]      							=   1
      UpperCAmelCase_      :      Dict      							=   2
      UpperCAmelCase_      :      List[Any]      							=   7
      UpperCAmelCase_      :      str      							=   10
      UpperCAmelCase_      :      str      							=   1E-8
      UpperCAmelCase_      :      List[str]      							=   1E5




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



         '''simple docstring'''



         return asdict(self							)







def __UpperCamelCase(   ):
   '''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>",
   )





'''simple docstring'''

import unittest

import numpy as np







def __UpperCamelCase(   _A					:				np.ndarray  ,			_A					:				np.ndarray  ,			_A					:				np.ndarray  ,			_A					:				np.ndarray | None = None  ,			):
   '''simple docstring'''
   UpperCAmelCase__							:				Any   				=  np.shape(_A    )
   UpperCAmelCase__							:				List[Any]   				=  np.shape(_A    )
   UpperCAmelCase__							:				Tuple   				=  np.shape(_A    )

   if shape_a[0] != shape_b[0]:
      UpperCAmelCase__							:				Any   				=  (
          '''Expected the same number of rows for A and B. '''
          F'''Instead found A of size {shape_a} and B of size {shape_b}'''
      )
      raise ValueError(_A    )

   if shape_b[1] != shape_c[1]:
      UpperCAmelCase__							:				List[str]   				=  (
          '''Expected the same number of columns for B and C. '''
          F'''Instead found B of size {shape_b} and C of size {shape_c}'''
      )
      raise ValueError(_A    )

   UpperCAmelCase__							:				Optional[Any]   				=  pseudo_inv
   if a_inv is None:
      try:
         UpperCAmelCase__							:				str   				=  np.linalg.inv(_A    )
      except np.linalg.LinAlgError:
         raise ValueError(
             '''Input matrix A is not invertible. Cannot compute Schur complement.'''    )

   return mat_c - mat_b.T @ a_inv @ mat_b


class 				_lowercase	(      unittest.TestCase   ):
      '''simple docstring'''


      def 		lowerCAmelCase__					(				self							)			->			None:



         '''simple docstring'''



         UpperCAmelCase__							:				int   				=  np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]							)
         UpperCAmelCase__							:				List[Any]   				=  np.array([[0, 3], [3, 0], [2, 3]]							)
         UpperCAmelCase__							:				Optional[Any]   				=  np.array([[2, 1], [6, 3]]							)

         UpperCAmelCase__							:				Tuple   				=  schur_complement(lowerCamelCase_					,lowerCamelCase_					,lowerCamelCase_							)

         UpperCAmelCase__							:				Tuple   				=  np.block([[a, b], [b.T, c]]							)

         UpperCAmelCase__							:				int   				=  np.linalg.det(lowerCamelCase_							)
         UpperCAmelCase__							:				Optional[Any]   				=  np.linalg.det(lowerCamelCase_							)
         UpperCAmelCase__							:				Union[str, Any]   				=  np.linalg.det(lowerCamelCase_							)

         self.assertAlmostEqual(lowerCamelCase_					,det_a * det_s							)




      def 		lowerCAmelCase__					(				self							)			->			None:



         '''simple docstring'''



         UpperCAmelCase__							:				Optional[Any]   				=  np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]							)
         UpperCAmelCase__							:				Tuple   				=  np.array([[0, 3], [3, 0], [2, 3]]							)
         UpperCAmelCase__							:				Tuple   				=  np.array([[2, 1], [6, 3]]							)

         with self.assertRaises(lowerCamelCase_							):
            schur_complement(lowerCamelCase_					,lowerCamelCase_					,lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self							)			->			None:



         '''simple docstring'''



         UpperCAmelCase__							:				Dict   				=  np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]							)
         UpperCAmelCase__							:				str   				=  np.array([[0, 3], [3, 0], [2, 3]]							)
         UpperCAmelCase__							:				Any   				=  np.array([[2, 1, 3], [6, 3, 5]]							)

         with self.assertRaises(lowerCamelCase_							):
            schur_complement(lowerCamelCase_					,lowerCamelCase_					,lowerCamelCase_							)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  unittest.main()




