'''simple docstring'''






from dataclasses import asdict, dataclass
from typing import Optional

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


A__    :       Dict              =logging.get_logger(__name__)

# TODO Update this
A__    :       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 			UpperCAmelCase					(      snake_case_       ):
      _lowercase:      List[str]											=       '''esm'''




      def __init__(      self      :			List[Any]      ,      __snake_case      :			Dict=None      ,      __snake_case      :			Tuple=None      ,      __snake_case      :			Optional[Any]=None      ,      __snake_case      :			Union[str, Any]=7_68      ,      __snake_case      :			Dict=12      ,      __snake_case      :			List[str]=12      ,      __snake_case      :			Any=30_72      ,      __snake_case      :			Any=0.1      ,      __snake_case      :			List[Any]=0.1      ,      __snake_case      :			Any=10_26      ,      __snake_case      :			str=0.02      ,      __snake_case      :			Dict=1E-1_2      ,      __snake_case      :			Union[str, Any]="absolute"      ,      __snake_case      :			Optional[int]=True      ,      __snake_case      :			Dict=None      ,      __snake_case      :			Dict=False      ,      __snake_case      :			Union[str, Any]=False      ,      __snake_case      :			Dict=None      ,      __snake_case      :			Any=None      ,      **__snake_case      :			List[str]      ,      )    ->				str:
            super().__init__(pad_token_id=__snake_case      ,      mask_token_id=__snake_case      ,      **__snake_case  )

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




      def     lowercase__   (      self      :			Tuple  )    ->				List[str]:
            _lowerCAmelCase												=							super().to_dict()
            if isinstance(self.esmfold_config      ,      __snake_case  ):
                  _lowerCAmelCase												=							self.esmfold_config.to_dict()
            return output




@dataclass
class 			UpperCAmelCase					:
      _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      :			Union[str, Any]  )    ->				List[Any]:
            if self.trunk is None:
                  _lowerCAmelCase												=							TrunkConfig()
            elif isinstance(self.trunk      ,      __snake_case  ):
                  _lowerCAmelCase												=							TrunkConfig(**self.trunk  )




      def     lowercase__   (      self      :			str  )    ->				Union[str, Any]:
            _lowerCAmelCase												=							asdict(self  )
            _lowerCAmelCase												=							self.trunk.to_dict()
            return output




@dataclass
class 			UpperCAmelCase					:
      _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      :			Union[str, Any]  )    ->				Optional[Any]:
            if self.structure_module is None:
                  _lowerCAmelCase												=							StructureModuleConfig()
            elif isinstance(self.structure_module      ,      __snake_case  ):
                  _lowerCAmelCase												=							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}."  )

            _lowerCAmelCase												=							self.sequence_state_dim // self.sequence_head_width
            _lowerCAmelCase												=							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      :			Optional[int]  )    ->				List[str]:
            _lowerCAmelCase												=							asdict(self  )
            _lowerCAmelCase												=							self.structure_module.to_dict()
            return output




@dataclass
class 			UpperCAmelCase					:
      _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      :			List[str]  )    ->				Optional[int]:
            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 os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property




@unittest.skipUnless(os.path.exists(snake_case_       )							,		'''Tatoeba directory does not exist.'''       )
class 			UpperCAmelCase					(      unittest.TestCase       ):




      @cached_property
      def     lowercase__   (      self      :			int  )    ->				Any:
            _lowerCAmelCase												=							tempfile.mkdtemp()
            return TatoebaConverter(save_dir=__snake_case  )




      @slow
      def     lowercase__   (      self      :			Dict  )    ->				int:
            self.resolver.convert_models(["""heb-eng"""]  )




      @slow
      def     lowercase__   (      self      :			Optional[int]  )    ->				Tuple:
            _lowerCAmelCase					,							_lowerCAmelCase												=							self.resolver.write_model_card("""opus-mt-he-en"""      ,      dry_run=__snake_case  )
            assert mmeta["long_pair"] == "heb-eng"






