





import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


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


lowercase    : List[str]    	=  {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

# See all MVP models at https://huggingface.co/models?filter=mvp
lowercase    : str    	=  {
    """vocab_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json""",
    },
    """added_tokens.json""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json""",
    },
    """merges_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json""",
    },
}

lowercase    : Any    	=  {
    """RUCAIBox/mvp""": 1024,
}

class  __A(						__UpperCAmelCase ):
     __A	  =       VOCAB_FILES_NAMES
     __A	  =       PRETRAINED_VOCAB_FILES_MAP
     __A	  =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A	  =       ["input_ids", "attention_mask"]
     __A	  =       MvpTokenizer

     def __init__(      self,       A=None,       A=None,       A=None,       A="replace",       A="<s>",       A="</s>",       A="</s>",       A="<s>",       A="<unk>",       A="<pad>",       A="<mask>",       A=False,       A=True,       **A,       ):





            """simple docstring"""

            super().__init__(
                A,       A,       tokenizer_file=A,       errors=A,       bos_token=A,       eos_token=A,       sep_token=A,       cls_token=A,       unk_token=A,       pad_token=A,       mask_token=A,       add_prefix_space=A,       trim_offsets=A,       **A,       )

            _UpperCamelCase              =						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
            if pre_tok_state.get('''add_prefix_space''',       A      ) != add_prefix_space:
                   _UpperCamelCase              =						getattr(A,       pre_tok_state.pop('''type'''      )      )
                   _UpperCamelCase              =						add_prefix_space
                   _UpperCamelCase              =						pre_tok_class(**A      )

            _UpperCamelCase              =						add_prefix_space

            # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
            _UpperCamelCase              =						'''post_processor'''
            _UpperCamelCase              =						getattr(self.backend_tokenizer,       A,       A      )
            if tokenizer_component_instance:
                   _UpperCamelCase              =						json.loads(tokenizer_component_instance.__getstate__()      )

                   # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
                   if "sep" in state:
                          _UpperCamelCase              =						tuple(state['''sep''']      )
                   if "cls" in state:
                          _UpperCamelCase              =						tuple(state['''cls''']      )

                   _UpperCamelCase              =						False

                   if state.get('''add_prefix_space''',       A      ) != add_prefix_space:
                          _UpperCamelCase              =						add_prefix_space
                          _UpperCamelCase              =						True

                   if state.get('''trim_offsets''',       A      ) != trim_offsets:
                          _UpperCamelCase              =						trim_offsets
                          _UpperCamelCase              =						True

                   if changes_to_apply:
                          _UpperCamelCase              =						getattr(A,       state.pop('''type'''      )      )
                          _UpperCamelCase              =						component_class(**A      )
                          setattr(self.backend_tokenizer,       A,       A      )

     @property
     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            if self._mask_token is None:
                   if self.verbose:
                          logger.error('''Using mask_token, but it is not set yet.'''      )
                   return None
            return str(self._mask_token      )

     @mask_token.setter
     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						AddedToken(A,       lstrip=A,       rstrip=A      ) if isinstance(A,       A      ) else value
            _UpperCamelCase              =						value

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





            """simple docstring"""

            _UpperCamelCase              =						kwargs.get('''is_split_into_words''',       A      )

            if is_split_into_words and not self.add_prefix_space:
                   raise ValueError(
                       F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
                       '''to use it with pretokenized inputs.'''      )

            return super()._batch_encode_plus(*A,       **A      )

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





            """simple docstring"""

            _UpperCamelCase              =						kwargs.get('''is_split_into_words''',       A      )

            if is_split_into_words and not self.add_prefix_space:
                   raise ValueError(
                       F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
                       '''to use it with pretokenized inputs.'''      )

            return super()._encode_plus(*A,       **A      )

     def 	_UpperCamelCase     (      self,       A,       A = None      ):





            """simple docstring"""

            _UpperCamelCase              =						self._tokenizer.model.save(A,       name=A      )
            return tuple(A      )

     def 	_UpperCamelCase     (      self,       A,       A=None      ):





            """simple docstring"""

            _UpperCamelCase              =						[self.bos_token_id] + token_ids_a + [self.eos_token_id]
            if token_ids_a is None:
                   return output

            return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]



     def 	_UpperCamelCase     (      self,       A,       A = None      ):





            """simple docstring"""

            _UpperCamelCase              =						[self.sep_token_id]
            _UpperCamelCase              =						[self.cls_token_id]

            if token_ids_a is None:
                   return len(cls + token_ids_a + sep      ) * [0]
            return len(cls + token_ids_a + sep + sep + token_ids_a + sep      ) * [0]













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",
                   ]






