





'''simple docstring'''





import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


lowercase    : Dict    	=  logging.get_logger(__name__)

lowercase    : List[Any]    	=  """▁"""

lowercase    : int    	=  {"""vocab_file""": """sentencepiece.bpe.model"""}

lowercase    : List[Any]    	=  {
    """vocab_file""": {
        """facebook/mbart-large-50-one-to-many-mmt""": (
            """https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model"""
        ),
    }
}

lowercase    : List[Any]    	=  {
    """facebook/mbart-large-50-one-to-many-mmt""": 1024,
}

# fmt: off
lowercase    : Tuple    	=  ["""ar_AR""", """cs_CZ""", """de_DE""", """en_XX""", """es_XX""", """et_EE""", """fi_FI""", """fr_XX""", """gu_IN""", """hi_IN""", """it_IT""", """ja_XX""", """kk_KZ""", """ko_KR""", """lt_LT""", """lv_LV""", """my_MM""", """ne_NP""", """nl_XX""", """ro_RO""", """ru_RU""", """si_LK""", """tr_TR""", """vi_VN""", """zh_CN""", """af_ZA""", """az_AZ""", """bn_IN""", """fa_IR""", """he_IL""", """hr_HR""", """id_ID""", """ka_GE""", """km_KH""", """mk_MK""", """ml_IN""", """mn_MN""", """mr_IN""", """pl_PL""", """ps_AF""", """pt_XX""", """sv_SE""", """sw_KE""", """ta_IN""", """te_IN""", """th_TH""", """tl_XX""", """uk_UA""", """ur_PK""", """xh_ZA""", """gl_ES""", """sl_SI"""]

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

     __A	  =       []
     __A	  =       []

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





            """simple docstring"""

            _UpperCamelCase              =						AddedToken(lowercase__,       lstrip=lowercase__,       rstrip=lowercase__      ) if isinstance(lowercase__,       lowercase__      ) else mask_token

            _UpperCamelCase              =						{} if sp_model_kwargs is None else sp_model_kwargs

            _UpperCamelCase              =						kwargs.get('''additional_special_tokens''',       []      )
            kwargs["additional_special_tokens"] += [
                code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
            ]

            super().__init__(
                src_lang=lowercase__,       tgt_lang=lowercase__,       eos_token=lowercase__,       unk_token=lowercase__,       sep_token=lowercase__,       cls_token=lowercase__,       pad_token=lowercase__,       mask_token=lowercase__,       sp_model_kwargs=self.sp_model_kwargs,       **lowercase__,       )

            _UpperCamelCase              =						spm.SentencePieceProcessor(**self.sp_model_kwargs      )
            self.sp_model.Load(str(lowercase__      )      )
            _UpperCamelCase              =						vocab_file

            # Original fairseq vocab and spm vocab must be "aligned":
            # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
            # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
            # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
            # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

            # Mimic fairseq token-to-id alignment for the first 4 token
            _UpperCamelCase              =						{"""<s>""": 0, """<pad>""": 1, """</s>""": 2, """<unk>""": 3}

            # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
            _UpperCamelCase              =						1

            _UpperCamelCase              =						len(self.sp_model      )
            _UpperCamelCase              =						{
                code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(lowercase__      )
            }
            _UpperCamelCase              =						{v: k for k, v in self.lang_code_to_id.items()}
            _UpperCamelCase              =						len(self.sp_model      ) + len(self.lang_code_to_id      ) + self.fairseq_offset

            self.fairseq_tokens_to_ids.update(self.lang_code_to_id      )
            _UpperCamelCase              =						{v: k for k, v in self.fairseq_tokens_to_ids.items()}

            _UpperCamelCase              =						src_lang if src_lang is not None else """en_XX"""
            _UpperCamelCase              =						self.lang_code_to_id[self._src_lang]
            _UpperCamelCase              =						tgt_lang
            self.set_src_lang_special_tokens(self._src_lang      )

     @property
     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            return len(self.sp_model      ) + len(self.lang_code_to_id      ) + self.fairseq_offset + 1  # Plus 1 for the mask token

     @property
     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            return self._src_lang

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





            """simple docstring"""

            _UpperCamelCase              =						new_src_lang
            self.set_src_lang_special_tokens(self._src_lang      )

     def __getstate__(      self      ):





            """simple docstring"""

            _UpperCamelCase              =						self.__dict__.copy()
            _UpperCamelCase              =						None
            return state

     def __setstate__(      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						d

            # for backward compatibility
            if not hasattr(self,       '''sp_model_kwargs'''      ):
                   _UpperCamelCase              =						{}

            _UpperCamelCase              =						spm.SentencePieceProcessor(**self.sp_model_kwargs      )
            self.sp_model.Load(self.vocab_file      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						{self.convert_ids_to_tokens(lowercase__      ): i for i in range(self.vocab_size      )}
            vocab.update(self.added_tokens_encoder      )
            return vocab

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            return self.sp_model.encode(lowercase__,       out_type=lowercase__      )

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            if token in self.fairseq_tokens_to_ids:
                   return self.fairseq_tokens_to_ids[token]
            _UpperCamelCase              =						self.sp_model.PieceToId(lowercase__      )

            # Need to return unknown token if the SP model returned 0
            return spm_id + self.fairseq_offset if spm_id else self.unk_token_id

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            if index in self.fairseq_ids_to_tokens:
                   return self.fairseq_ids_to_tokens[index]
            return self.sp_model.IdToPiece(index - self.fairseq_offset      )

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						[]
            _UpperCamelCase              =						""""""
            _UpperCamelCase              =						False
            for token in tokens:
                   # make sure that special tokens are not decoded using sentencepiece model
                   if token in self.all_special_tokens:
                          if not prev_is_special:
                                 out_string += " "
                          out_string += self.sp_model.decode(lowercase__      ) + token
                          _UpperCamelCase              =						True
                          _UpperCamelCase              =						[]
                   else:
                          current_sub_tokens.append(lowercase__      )
                          _UpperCamelCase              =						False
            out_string += self.sp_model.decode(lowercase__      )
            return out_string.strip()

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





            """simple docstring"""

            if not os.path.isdir(lowercase__      ):
                   logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
                   return
            _UpperCamelCase              =						os.path.join(
                lowercase__,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

            if os.path.abspath(self.vocab_file      ) != os.path.abspath(lowercase__      ) and os.path.isfile(self.vocab_file      ):
                   copyfile(self.vocab_file,       lowercase__      )
            elif not os.path.isfile(self.vocab_file      ):
                   with open(lowercase__,       '''wb'''      ) as fi:
                          _UpperCamelCase              =						self.sp_model.serialized_model_proto()
                          fi.write(lowercase__      )

            return (out_vocab_file,)

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





            """simple docstring"""

            if already_has_special_tokens:
                   return super().get_special_tokens_mask(
                       token_ids_a=lowercase__,       token_ids_a=lowercase__,       already_has_special_tokens=lowercase__      )

            _UpperCamelCase              =						[1] * len(self.prefix_tokens      )
            _UpperCamelCase              =						[1] * len(self.suffix_tokens      )
            if token_ids_a is None:
                   return prefix_ones + ([0] * len(lowercase__      )) + suffix_ones
            return prefix_ones + ([0] * len(lowercase__      )) + ([0] * len(lowercase__      )) + suffix_ones

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





            """simple docstring"""

            if token_ids_a is None:
                   return self.prefix_tokens + token_ids_a + self.suffix_tokens
            # We don't expect to process pairs, but leave the pair logic for API consistency
            return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens

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





            """simple docstring"""

            if src_lang is None or tgt_lang is None:
                   raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''      )
            _UpperCamelCase              =						src_lang
            _UpperCamelCase              =						self(lowercase__,       add_special_tokens=lowercase__,       return_tensors=lowercase__,       **lowercase__      )
            _UpperCamelCase              =						self.convert_tokens_to_ids(lowercase__      )
            _UpperCamelCase              =						tgt_lang_id
            return inputs

     def 	_UpperCamelCase     (      self,       A,       A = "en_XX",       A = None,       A = "ro_RO",       **A,       ):





            """simple docstring"""

            _UpperCamelCase              =						src_lang
            _UpperCamelCase              =						tgt_lang
            return super().prepare_seqaseq_batch(lowercase__,       lowercase__,       **lowercase__      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            return self.set_src_lang_special_tokens(self.src_lang      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            return self.set_tgt_lang_special_tokens(self.tgt_lang      )

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						self.lang_code_to_id[src_lang]
            _UpperCamelCase              =						[self.cur_lang_code_id]
            _UpperCamelCase              =						[self.eos_token_id]



     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						self.lang_code_to_id[tgt_lang]
            _UpperCamelCase              =						[self.cur_lang_code_id]
            _UpperCamelCase              =						[self.eos_token_id]













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",
                   ]






