





'''simple docstring'''





from dataclasses import asdict, dataclass
from typing import Optional

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


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

# TODO Update this
lowercase    : Optional[int]    	=  {
    """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  __A(						snake_case__ ):
     __A	  =       "esm"

     def __init__(      self,       A=None,       A=None,       A=None,       A=768,       A=12,       A=12,       A=3072,       A=0.1,       A=0.1,       A=1026,       A=0.02,       A=1E-1_2,       A="absolute",       A=True,       A=None,       A=False,       A=False,       A=None,       A=None,       **A,       ):





            """simple docstring"""

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

            _UpperCamelCase              =						vocab_size
            _UpperCamelCase              =						hidden_size
            _UpperCamelCase              =						num_hidden_layers
            _UpperCamelCase              =						num_attention_heads
            _UpperCamelCase              =						intermediate_size
            _UpperCamelCase              =						hidden_dropout_prob
            _UpperCamelCase              =						attention_probs_dropout_prob
            _UpperCamelCase              =						max_position_embeddings
            _UpperCamelCase              =						initializer_range
            _UpperCamelCase              =						layer_norm_eps
            _UpperCamelCase              =						position_embedding_type
            _UpperCamelCase              =						use_cache
            _UpperCamelCase              =						emb_layer_norm_before
            _UpperCamelCase              =						token_dropout
            _UpperCamelCase              =						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              =						EsmFoldConfig()
                   elif isinstance(lowercase_,       lowercase_      ):
                          _UpperCamelCase              =						EsmFoldConfig(**lowercase_      )
                   _UpperCamelCase              =						esmfold_config
                   if vocab_list is None:
                          logger.warning('''No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!'''      )
                          _UpperCamelCase              =						get_default_vocab_list()
                   else:
                          _UpperCamelCase              =						vocab_list
            else:
                   _UpperCamelCase              =						None
                   _UpperCamelCase              =						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 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						super().to_dict()
            if isinstance(self.esmfold_config,       lowercase_      ):
                   _UpperCamelCase              =						self.esmfold_config.to_dict()
            return output






@dataclass
class  __A:
     __A	  =       None
     __A	  =       True
     __A	  =       False
     __A	  =       False
     __A	  =       False
     __A	  =       0

     __A	  =       True
     __A	  =       False

     __A	  =       1_28
     __A	  =       None

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            if self.trunk is None:
                   _UpperCamelCase              =						TrunkConfig()
            elif isinstance(self.trunk,       lowercase_      ):
                   _UpperCamelCase              =						TrunkConfig(**self.trunk      )



     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						asdict(self      )
            _UpperCamelCase              =						self.trunk.to_dict()
            return output






@dataclass
class  __A:
     __A	  =       48
     __A	  =       10_24
     __A	  =       1_28
     __A	  =       32
     __A	  =       32
     __A	  =       32
     __A	  =       0
     __A	  =       0
     __A	  =       False
     __A	  =       4
     __A	  =       1_28
     __A	  =       None

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            if self.structure_module is None:
                   _UpperCamelCase              =						StructureModuleConfig()
            elif isinstance(self.structure_module,       lowercase_      ):
                   _UpperCamelCase              =						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              =						self.sequence_state_dim // self.sequence_head_width
            _UpperCamelCase              =						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 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						asdict(self      )
            _UpperCamelCase              =						self.structure_module.to_dict()
            return output






@dataclass
class  __A:
     __A	  =       3_84
     __A	  =       1_28
     __A	  =       16
     __A	  =       1_28
     __A	  =       12
     __A	  =       4
     __A	  =       8
     __A	  =       0.1
     __A	  =       8
     __A	  =       1
     __A	  =       2
     __A	  =       7
     __A	  =       10
     __A	  =       1E-8
     __A	  =       1E5

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            return asdict(self      )






def     SCREAMING_SNAKE_CASE			(      ):
       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>",
       )













import logging
import os
from typing import List, TextIO, Union

from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask


lowercase    : Optional[Any]    	=  logging.getLogger(__name__)

class  __A(						__UpperCAmelCase ):

     def __init__(      self,       A=-1      ):





            """simple docstring"""

            _UpperCamelCase              =						label_idx

     def 	_UpperCamelCase     (      self,       A,       A      ):





            """simple docstring"""

            if isinstance(A,       A      ):
                   _UpperCamelCase              =						mode.value
            _UpperCamelCase              =						os.path.join(A,       F'''{mode}.txt'''      )
            _UpperCamelCase              =						1
            _UpperCamelCase              =						[]
            with open(A,       encoding='''utf-8'''      ) as f:
                   _UpperCamelCase              =						[]
                   _UpperCamelCase              =						[]
                   for line in f:
                          if line.startswith('''-DOCSTART-'''      ) or line == "" or line == "\n":
                                 if words:
                                        examples.append(InputExample(guid=F'''{mode}-{guid_index}''',       words=A,       labels=A      )      )
                                        guid_index += 1
                                        _UpperCamelCase              =						[]
                                        _UpperCamelCase              =						[]
                          else:
                                 _UpperCamelCase              =						line.split(''' '''      )
                                 words.append(splits[0]      )
                                 if len(A      ) > 1:
                                        labels.append(splits[self.label_idx].replace('''\n''',       ''''''      )      )
                                 else:
                                        # Examples could have no label for mode = "test"
                                        labels.append('''O'''      )
                   if words:
                          examples.append(InputExample(guid=F'''{mode}-{guid_index}''',       words=A,       labels=A      )      )
            return examples

     def 	_UpperCamelCase     (      self,       A,       A,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						0
            for line in test_input_reader:
                   if line.startswith('''-DOCSTART-'''      ) or line == "" or line == "\n":
                          writer.write(A      )
                          if not preds_list[example_id]:
                                 example_id += 1
                   elif preds_list[example_id]:
                          _UpperCamelCase              =						line.split()[0] + ''' ''' + preds_list[example_id].pop(0      ) + '''\n'''
                          writer.write(A      )
                   else:
                          logger.warning('''Maximum sequence length exceeded: No prediction for \'%s\'.''',       line.split()[0]      )



     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            if path:
                   with open(A,       '''r'''      ) as f:
                          _UpperCamelCase              =						f.read().splitlines()
                   if "O" not in labels:
                          _UpperCamelCase              =						['''O'''] + labels
                   return labels
            else:
                   return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]






class  __A(						__UpperCAmelCase ):

     def __init__(      self      ):





            """simple docstring"""

            super().__init__(label_idx=-2      )



     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            if path:
                   with open(A,       '''r'''      ) as f:
                          _UpperCamelCase              =						f.read().splitlines()
                   if "O" not in labels:
                          _UpperCamelCase              =						['''O'''] + labels
                   return labels
            else:
                   return [
                       "O",
                       "B-ADVP",
                       "B-INTJ",
                       "B-LST",
                       "B-PRT",
                       "B-NP",
                       "B-SBAR",
                       "B-VP",
                       "B-ADJP",
                       "B-CONJP",
                       "B-PP",
                       "I-ADVP",
                       "I-INTJ",
                       "I-LST",
                       "I-PRT",
                       "I-NP",
                       "I-SBAR",
                       "I-VP",
                       "I-ADJP",
                       "I-CONJP",
                       "I-PP",
                   ]






class  __A(						__UpperCAmelCase ):

     def 	_UpperCamelCase     (      self,       A,       A      ):





            """simple docstring"""

            if isinstance(A,       A      ):
                   _UpperCamelCase              =						mode.value
            _UpperCamelCase              =						os.path.join(A,       F'''{mode}.txt'''      )
            _UpperCamelCase              =						1
            _UpperCamelCase              =						[]

            with open(A,       encoding='''utf-8'''      ) as f:
                   for sentence in parse_incr(A      ):
                          _UpperCamelCase              =						[]
                          _UpperCamelCase              =						[]
                          for token in sentence:
                                 words.append(token['''form''']      )
                                 labels.append(token['''upos''']      )
                          assert len(A      ) == len(A      )
                          if words:
                                 examples.append(InputExample(guid=F'''{mode}-{guid_index}''',       words=A,       labels=A      )      )
                                 guid_index += 1
            return examples

     def 	_UpperCamelCase     (      self,       A,       A,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						0
            for sentence in parse_incr(A      ):
                   _UpperCamelCase              =						preds_list[example_id]
                   _UpperCamelCase              =						''''''
                   for token in sentence:
                          out += F'''{token["form"]} ({token["upos"]}|{s_p.pop(0      )}) '''
                   out += "\n"
                   writer.write(A      )
                   example_id += 1



     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            if path:
                   with open(A,       '''r'''      ) as f:
                          return f.read().splitlines()
            else:
                   return [
                       "ADJ",
                       "ADP",
                       "ADV",
                       "AUX",
                       "CCONJ",
                       "DET",
                       "INTJ",
                       "NOUN",
                       "NUM",
                       "PART",
                       "PRON",
                       "PROPN",
                       "PUNCT",
                       "SCONJ",
                       "SYM",
                       "VERB",
                       "X",
                   ]






