





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

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


__lowerCamelCase	:					Tuple			  =					logging.getLogger(__name__)



class  A__       (	__snake_case      ):





      def __init__(			self	,							A_=-1       ):
       '''simple docstring'''




       UpperCamelCase     : Tuple	     =       label_idx





      def 	__UpperCamelCase(			self	,							A_	,							A_       ):
       '''simple docstring'''




       if isinstance(A_	,							A_       ):
        UpperCamelCase     : Optional[int]	     =       mode.value
       UpperCamelCase     : int	     =       os.path.join(A_	,							F"""{mode}.txt"""       )
       UpperCamelCase     : Dict	     =       1
       UpperCamelCase     : Dict	     =       []
       with open(A_	,							encoding="utf-8"       ) as f:
        UpperCamelCase     : str	     =       []
        UpperCamelCase     : str	     =       []
        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     : List[Any]	     =       []
           UpperCamelCase     : Any	     =       []
         else:
          UpperCamelCase     : List[Any]	     =       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     : Tuple	     =       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     : List[Any]	     =       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     : Optional[int]	     =       f.read().splitlines()
        if "O" not in labels:
         UpperCamelCase     : Union[str, Any]	     =       ["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__       (	__snake_case      ):





      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     : Union[str, Any]	     =       f.read().splitlines()
        if "O" not in labels:
         UpperCamelCase     : Union[str, Any]	     =       ["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__       (	__snake_case      ):





      def 	__UpperCamelCase(			self	,							A_	,							A_       ):
       '''simple docstring'''




       if isinstance(A_	,							A_       ):
        UpperCamelCase     : Any	     =       mode.value
       UpperCamelCase     : int	     =       os.path.join(A_	,							F"""{mode}.txt"""       )
       UpperCamelCase     : List[str]	     =       1
       UpperCamelCase     : Union[str, Any]	     =       []

       with open(A_	,							encoding="utf-8"       ) as f:
        for sentence in parse_incr(A_       ):
         UpperCamelCase     : Any	     =       []
         UpperCamelCase     : List[str]	     =       []
         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     : Any	     =       0
       for sentence in parse_incr(A_       ):
        UpperCamelCase     : Optional[int]	     =       preds_list[example_id]
        UpperCamelCase     : Any	     =       ""
        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",
        ]







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


__lowerCamelCase	:					Tuple			  =					logging.get_logger(__name__)



class  A__       (	__snake_case      ):
      _UpperCAmelCase     :List[Any]						   =       'timm_backbone'





      def __init__(			self	,							A_=None	,							A_=3	,							A_=True	,							A_=True	,							A_=None	,							**A_	,							):
       '''simple docstring'''




       super().__init__(**A_       )
       UpperCamelCase     : Tuple	     =       backbone
       UpperCamelCase     : Dict	     =       num_channels
       UpperCamelCase     : Tuple	     =       features_only
       UpperCamelCase     : Optional[int]	     =       use_pretrained_backbone
       UpperCamelCase     : Dict	     =       True
       UpperCamelCase     : List[str]	     =       out_indices if out_indices is not None else (-1,)
