




"""simple docstring"""


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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_A													=      logging.get_logger(__name__)

_A													=      """▁"""

_A													=      {"""vocab_file""": """sentencepiece.bpe.model"""}

_A													=      {
    """vocab_file""": {
        """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model""",
    }
}

_A													=      {
    """facebook/xglm-564M""": 2_0_4_8,
}


class _lowerCamelCase    (					a_						):
   _lowerCamelCase    :Dict     				=     VOCAB_FILES_NAMES
   _lowerCamelCase    :Optional[int]     				=     PRETRAINED_VOCAB_FILES_MAP
   _lowerCamelCase    :Union[str, Any]     				=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _lowerCamelCase    :Any     				=     ["input_ids", "attention_mask"]






   def __init__(		self       :		int   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		str="<s>"   ,     UpperCamelCase       :		str="</s>"   ,     UpperCamelCase       :		Optional[int]="</s>"   ,     UpperCamelCase       :		List[str]="<s>"   ,     UpperCamelCase       :		Union[str, Any]="<unk>"   ,     UpperCamelCase       :		List[str]="<pad>"   ,     UpperCamelCase       :		Optional[Dict[str, Any]] = None   ,     **UpperCamelCase       :		Dict   ,     )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			Any   =	{} if sp_model_kwargs is None else sp_model_kwargs

         # Compatibility with the original tokenizer
         lowerCAmelCase__      :			List[str]   =	7
         lowerCAmelCase__      :			int   =	[f"""<madeupword{i}>""" for i in range(self.num_madeup_words   )]

         lowerCAmelCase__      :			Dict   =	kwargs.get("""additional_special_tokens"""   ,     []   )
         kwargs["additional_special_tokens"] += [
             word for word in madeup_words if word not in kwargs["additional_special_tokens"]
         ]

         super().__init__(
             bos_token=UpperCamelCase   ,     eos_token=UpperCamelCase   ,     unk_token=UpperCamelCase   ,     sep_token=UpperCamelCase   ,     cls_token=UpperCamelCase   ,     pad_token=UpperCamelCase   ,     sp_model_kwargs=self.sp_model_kwargs   ,     **UpperCamelCase   ,     )

         lowerCAmelCase__      :			List[Any]   =	spm.SentencePieceProcessor(**self.sp_model_kwargs   )
         self.sp_model.Load(str(UpperCamelCase   )   )
         lowerCAmelCase__      :			List[Any]   =	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'

         # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
         lowerCAmelCase__      :			Optional[Any]   =	1

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

         lowerCAmelCase__      :			Any   =	len(self.sp_model   )
         lowerCAmelCase__      :			Dict   =	{f"""<madeupword{i}>""": sp_size + i + self.fairseq_offset for i in range(self.num_madeup_words   )}
         self.fairseq_tokens_to_ids.update(UpperCamelCase   )

         lowerCAmelCase__      :			Optional[Any]   =	{v: k for k, v in self.fairseq_tokens_to_ids.items()}






   def __getstate__(		self       :		Optional[int]   )			->						Union[str, Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[Any]   =	self.__dict__.copy()
         lowerCAmelCase__      :			Dict   =	None
         lowerCAmelCase__      :			Dict   =	self.sp_model.serialized_model_proto()
         return state






   def __setstate__(		self       :		Tuple   ,     UpperCamelCase       :		List[Any]   )			->						Tuple:

         """simple docstring"""
         lowerCAmelCase__      :			List[str]   =	d

         # for backward compatibility
         if not hasattr(self   ,     """sp_model_kwargs"""   ):
               lowerCAmelCase__      :			List[Any]   =	{}

         lowerCAmelCase__      :			List[str]   =	spm.SentencePieceProcessor(**self.sp_model_kwargs   )
         self.sp_model.LoadFromSerializedProto(self.sp_model_proto   )






   def 	_lowerCAmelCase   (		self       :		List[str]   ,     UpperCamelCase       :		List[int]   ,     UpperCamelCase       :		Optional[List[int]] = None   )			->						List[int]:

         """simple docstring"""

         if token_ids_a is None:
               return [self.sep_token_id] + token_ids_a
         lowerCAmelCase__      :			List[str]   =	[self.sep_token_id]
         return sep + token_ids_a + sep + sep + token_ids_a






   def 	_lowerCAmelCase   (		self       :		int   ,     UpperCamelCase       :		List[int]   ,     UpperCamelCase       :		Optional[List[int]] = None   ,     UpperCamelCase       :		bool = False   )			->						List[int]:

         """simple docstring"""

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

         if token_ids_a is None:
               return [1] + ([0] * len(UpperCamelCase   ))
         return [1] + ([0] * len(UpperCamelCase   )) + [1, 1] + ([0] * len(UpperCamelCase   ))






   def 	_lowerCAmelCase   (		self       :		int   ,     UpperCamelCase       :		List[int]   ,     UpperCamelCase       :		Optional[List[int]] = None   )			->						List[int]:

         """simple docstring"""
         lowerCAmelCase__      :			List[Any]   =	[self.sep_token_id]

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






   @property
   def 	_lowerCAmelCase   (		self       :		Tuple   )			->						List[Any]:

         """simple docstring"""
         return len(self.sp_model   ) + self.fairseq_offset + self.num_madeup_words






   def 	_lowerCAmelCase   (		self       :		List[str]   )			->						int:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[int]   =	{self.convert_ids_to_tokens(UpperCamelCase   ): i for i in range(self.vocab_size   )}
         vocab.update(self.added_tokens_encoder   )
         return vocab






   def 	_lowerCAmelCase   (		self       :		List[str]   ,     UpperCamelCase       :		str   )			->						List[str]:

         """simple docstring"""
         return self.sp_model.encode(UpperCamelCase   ,     out_type=UpperCamelCase   )






   def 	_lowerCAmelCase   (		self       :		Optional[int]   ,     UpperCamelCase       :		List[Any]   )			->						str:

         """simple docstring"""
         if token in self.fairseq_tokens_to_ids:
               return self.fairseq_tokens_to_ids[token]
         lowerCAmelCase__      :			Union[str, Any]   =	self.sp_model.PieceToId(UpperCamelCase   )

         # 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 	_lowerCAmelCase   (		self       :		Any   ,     UpperCamelCase       :		Any   )			->						int:

         """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 	_lowerCAmelCase   (		self       :		List[Any]   ,     UpperCamelCase       :		str   )			->						int:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	"""""".join(UpperCamelCase   ).replace(UpperCamelCase   ,     """ """   ).strip()
         return out_string






   def 	_lowerCAmelCase   (		self       :		int   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		Optional[str] = None   )			->						Tuple[str]:

         """simple docstring"""
         if not os.path.isdir(UpperCamelCase   ):
               logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""   )
               return
         lowerCAmelCase__      :			Optional[int]   =	os.path.join(
             UpperCamelCase   ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )

         if os.path.abspath(self.vocab_file   ) != os.path.abspath(UpperCamelCase   ) and os.path.isfile(self.vocab_file   ):
               copyfile(self.vocab_file   ,     UpperCamelCase   )
         elif not os.path.isfile(self.vocab_file   ):
               with open(UpperCamelCase   ,     """wb"""   ) as fi:
                     lowerCAmelCase__      :			Any   =	self.sp_model.serialized_model_proto()
                     fi.write(UpperCamelCase   )

         return (out_vocab_file,)











"""simple docstring"""


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

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


_A													=      logging.getLogger(__name__)


class _lowerCamelCase    (					a_						):






   def __init__(		self       :		List[Any]   ,     UpperCamelCase       :		Dict=-1   )			->						List[Any]:

         """simple docstring"""
         # in NER datasets, the last column is usually reserved for NER label
         lowerCAmelCase__      :			Optional[int]   =	label_idx






   def 	_lowerCAmelCase   (		self       :		Optional[int]   ,     UpperCamelCase       :		Optional[int]   ,     UpperCamelCase       :		Union[Split, str]   )			->						List[InputExample]:

         """simple docstring"""
         if isinstance(UpperCamelCase   ,     UpperCamelCase   ):
               lowerCAmelCase__      :			int   =	mode.value
         lowerCAmelCase__      :			Dict   =	os.path.join(UpperCamelCase   ,     f"""{mode}.txt"""   )
         lowerCAmelCase__      :			str   =	1
         lowerCAmelCase__      :			List[Any]   =	[]
         with open(UpperCamelCase   ,     encoding="""utf-8"""   ) as f:
               lowerCAmelCase__      :			str   =	[]
               lowerCAmelCase__      :			Any   =	[]
               for line in f:
                     if line.startswith("""-DOCSTART-"""   ) or line == "" or line == "\n":
                           if words:
                                 examples.append(InputExample(guid=f"""{mode}-{guid_index}"""   ,     words=UpperCamelCase   ,     labels=UpperCamelCase   )   )
                                 guid_index += 1
                                 lowerCAmelCase__      :			Optional[Any]   =	[]
                                 lowerCAmelCase__      :			Tuple   =	[]
                     else:
                           lowerCAmelCase__      :			Optional[int]   =	line.split(""" """   )
                           words.append(splits[0]   )
                           if len(UpperCamelCase   ) > 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=UpperCamelCase   ,     labels=UpperCamelCase   )   )
         return examples






   def 	_lowerCAmelCase   (		self       :		Any   ,     UpperCamelCase       :		TextIO   ,     UpperCamelCase       :		TextIO   ,     UpperCamelCase       :		List   )			->						List[Any]:

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






   def 	_lowerCAmelCase   (		self       :		str   ,     UpperCamelCase       :		str   )			->						List[str]:

         """simple docstring"""
         if path:
               with open(UpperCamelCase   ,     """r"""   ) as f:
                     lowerCAmelCase__      :			Any   =	f.read().splitlines()
               if "O" not in labels:
                     lowerCAmelCase__      :			List[str]   =	["""O"""] + labels
               return labels
         else:
               return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]






class _lowerCamelCase    (					a_						):






   def __init__(		self       :		Union[str, Any]   )			->						Any:

         """simple docstring"""
         # in CONLL2003 dataset chunk column is second-to-last
         super().__init__(label_idx=-2   )






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   ,     UpperCamelCase       :		str   )			->						List[str]:

         """simple docstring"""
         if path:
               with open(UpperCamelCase   ,     """r"""   ) as f:
                     lowerCAmelCase__      :			Any   =	f.read().splitlines()
               if "O" not in labels:
                     lowerCAmelCase__      :			str   =	["""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 _lowerCamelCase    (					a_						):






   def 	_lowerCAmelCase   (		self       :		Union[str, Any]   ,     UpperCamelCase       :		Any   ,     UpperCamelCase       :		Union[Split, str]   )			->						List[InputExample]:

         """simple docstring"""
         if isinstance(UpperCamelCase   ,     UpperCamelCase   ):
               lowerCAmelCase__      :			Optional[Any]   =	mode.value
         lowerCAmelCase__      :			int   =	os.path.join(UpperCamelCase   ,     f"""{mode}.txt"""   )
         lowerCAmelCase__      :			Optional[int]   =	1
         lowerCAmelCase__      :			List[Any]   =	[]

         with open(UpperCamelCase   ,     encoding="""utf-8"""   ) as f:
               for sentence in parse_incr(UpperCamelCase   ):
                     lowerCAmelCase__      :			Union[str, Any]   =	[]
                     lowerCAmelCase__      :			List[Any]   =	[]
                     for token in sentence:
                           words.append(token["""form"""]   )
                           labels.append(token["""upos"""]   )
                     assert len(UpperCamelCase   ) == len(UpperCamelCase   )
                     if words:
                           examples.append(InputExample(guid=f"""{mode}-{guid_index}"""   ,     words=UpperCamelCase   ,     labels=UpperCamelCase   )   )
                           guid_index += 1
         return examples






   def 	_lowerCAmelCase   (		self       :		List[str]   ,     UpperCamelCase       :		TextIO   ,     UpperCamelCase       :		TextIO   ,     UpperCamelCase       :		List   )			->						List[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Any   =	0
         for sentence in parse_incr(UpperCamelCase   ):
               lowerCAmelCase__      :			Union[str, Any]   =	preds_list[example_id]
               lowerCAmelCase__      :			List[Any]   =	""""""
               for token in sentence:
                     out += f"""{token['form']} ({token['upos']}|{s_p.pop(0   )}) """
               out += "\n"
               writer.write(UpperCamelCase   )
               example_id += 1






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		str   )			->						List[str]:

         """simple docstring"""
         if path:
               with open(UpperCamelCase   ,     """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",
               ]





