


import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List

import git
import torch
from torch.utils.data import Dataset

from transformers import BartTokenizer, RagTokenizer, TaTokenizer
def 				__lowerCamelCase						( UpperCAmelCase_						:		List[str] ,  UpperCAmelCase_						:		Optional[int] ,  UpperCAmelCase_						:		Optional[Any] ,  UpperCAmelCase_						:		Any ,  UpperCAmelCase_						:		Dict=True ,  UpperCAmelCase_						:		Dict="pt"						):




      """simple docstring"""





      a						:Dict 							=       {'''add_prefix_space''': True} if isinstance(UpperCAmelCase_ ,  UpperCAmelCase_						) and not line.startswith(''' '''						) else {}
      a						:str 							=       padding_side
      return tokenizer(
          [line] ,  max_length=UpperCAmelCase_ ,  padding='''max_length''' if pad_to_max_length else None ,  truncation=UpperCAmelCase_ ,  return_tensors=UpperCAmelCase_ ,  add_special_tokens=UpperCAmelCase_ ,  **UpperCAmelCase_ ,  )
def 				__lowerCamelCase						( UpperCAmelCase_						:		int ,  UpperCAmelCase_						:		str ,  UpperCAmelCase_						:		Any=None ,  ):




      """simple docstring"""





      a						:Dict 							=       input_ids.ne(UpperCAmelCase_						).any(dim=0						)
      if attention_mask is None:
            return input_ids[:, keep_column_mask]
      else:
            return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask])







class 		_snake_case  (      _snake_case							):




 def __init__(		self					,  _lowerCamelCase					,  _lowerCamelCase					,  _lowerCamelCase					,  _lowerCamelCase					,  _lowerCamelCase="train"					,  _lowerCamelCase=None					,  _lowerCamelCase=None					,  _lowerCamelCase=None					,  _lowerCamelCase=""					,  ):
       super().__init__()
       a						:List[str] 							=       Path(_lowerCamelCase    ).joinpath(type_path + '''.source'''    )
       a						:str 							=       Path(_lowerCamelCase    ).joinpath(type_path + '''.target'''    )
       a						:List[str] 							=       self.get_char_lens(self.src_file    )
       a						:Any 							=       max_source_length
       a						:Any 							=       max_target_length
       assert min(self.src_lens    ) > 0, F'''found empty line in {self.src_file}'''
       a						:List[str] 							=       tokenizer
       a						:Union[str, Any] 							=       prefix
       if n_obs is not None:
             a						:Union[str, Any] 							=       self.src_lens[:n_obs]
       a						:List[str] 							=       src_lang
       a						:Optional[Any] 							=       tgt_lang




 def __len__(		self    ):
       return len(self.src_lens    )




 def __getitem__(		self					,  _lowerCamelCase    ):
       a						:Any 							=       index + 1  # linecache starts at 1
       a						:int 							=       self.prefix + linecache.getline(str(self.src_file    )					,  _lowerCamelCase    ).rstrip('''\n'''    )
       a						:int 							=       linecache.getline(str(self.tgt_file    )					,  _lowerCamelCase    ).rstrip('''\n'''    )
       assert source_line, F'''empty source line for index {index}'''
       assert tgt_line, F'''empty tgt line for index {index}'''

       # Need to add eos token manually for T5
       if isinstance(self.tokenizer					,  _lowerCamelCase    ):
             source_line += self.tokenizer.eos_token
             tgt_line += self.tokenizer.eos_token

       # Pad source and target to the right
       a						:Dict 							=       (
           self.tokenizer.question_encoder if isinstance(self.tokenizer					,  _lowerCamelCase    ) else self.tokenizer
       )
       a						:Optional[int] 							=       self.tokenizer.generator if isinstance(self.tokenizer					,  _lowerCamelCase    ) else self.tokenizer

       a						:List[Any] 							=       encode_line(_lowerCamelCase					,  _lowerCamelCase					,  self.max_source_length					,  '''right'''    )
       a						:List[Any] 							=       encode_line(_lowerCamelCase					,  _lowerCamelCase					,  self.max_target_length					,  '''right'''    )

       a						:Dict 							=       source_inputs['''input_ids'''].squeeze()
       a						:Dict 							=       target_inputs['''input_ids'''].squeeze()
       a						:str 							=       source_inputs['''attention_mask'''].squeeze()
       return {
           "input_ids": source_ids,
           "attention_mask": src_mask,
           "decoder_input_ids": target_ids,
       }




 @staticmethod
 def        SCREAMING_SNAKE_CASE__				(		_lowerCamelCase    ):
       return [len(_lowerCamelCase    ) for x in Path(_lowerCamelCase    ).open().readlines()]




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       a						:Dict 							=       torch.stack([x['''input_ids'''] for x in batch]    )
       a						:Any 							=       torch.stack([x['''attention_mask'''] for x in batch]    )
       a						:Any 							=       torch.stack([x['''decoder_input_ids'''] for x in batch]    )
       a						:Tuple 							=       (
           self.tokenizer.generator.pad_token_id
           if isinstance(self.tokenizer					,  _lowerCamelCase    )
           else self.tokenizer.pad_token_id
       )
       a						:Any 							=       (
           self.tokenizer.question_encoder.pad_token_id
           if isinstance(self.tokenizer					,  _lowerCamelCase    )
           else self.tokenizer.pad_token_id
       )
       a						:Union[str, Any] 							=       trim_batch(_lowerCamelCase					,  _lowerCamelCase    )
       a							,				a						:int 							=       trim_batch(_lowerCamelCase					,  _lowerCamelCase					,  attention_mask=_lowerCamelCase    )
       a						:Union[str, Any] 							=       {
           '''input_ids''': source_ids,
           '''attention_mask''': source_mask,
           '''decoder_input_ids''': y,
       }
       return batch







snake_case				:    Optional[Any]       				=     getLogger(__name__)
def 				__lowerCamelCase						( UpperCAmelCase_						:		List[List]						):




      """simple docstring"""





      return list(itertools.chain.from_iterable(UpperCAmelCase_						)						)
def 				__lowerCamelCase						( UpperCAmelCase_						:		str						):




      """simple docstring"""





      a						:Any 							=       get_git_info()
      save_json(UpperCAmelCase_ ,  os.path.join(UpperCAmelCase_ ,  '''git_log.json'''						)						)
def 				__lowerCamelCase						( UpperCAmelCase_						:		Optional[Any] ,  UpperCAmelCase_						:		Union[str, Any] ,  UpperCAmelCase_						:		Dict=4 ,  **UpperCAmelCase_						:		str						):




      """simple docstring"""





      with open(UpperCAmelCase_ ,  '''w'''						) as f:
            json.dump(UpperCAmelCase_ ,  UpperCAmelCase_ ,  indent=UpperCAmelCase_ ,  **UpperCAmelCase_						)
def 				__lowerCamelCase						( UpperCAmelCase_						:		Optional[int]						):




      """simple docstring"""





      with open(UpperCAmelCase_						) as f:
            return json.load(UpperCAmelCase_						)
def 				__lowerCamelCase						( ):




      """simple docstring"""





      a						:Optional[int] 							=       git.Repo(search_parent_directories=UpperCAmelCase_						)
      a						:Optional[Any] 							=       {
          '''repo_id''': str(UpperCAmelCase_						),
          '''repo_sha''': str(repo.head.object.hexsha						),
          '''repo_branch''': str(repo.active_branch						),
          '''hostname''': str(socket.gethostname()						),
      }
      return repo_infos
def 				__lowerCamelCase						( UpperCAmelCase_						:		Callable ,  UpperCAmelCase_						:		Iterable						):




      """simple docstring"""





      return list(map(UpperCAmelCase_ ,  UpperCAmelCase_						)						)
def 				__lowerCamelCase						( UpperCAmelCase_						:		str ,  UpperCAmelCase_						:		Tuple						):




      """simple docstring"""





      with open(UpperCAmelCase_ ,  '''wb'''						) as f:
            return pickle.dump(UpperCAmelCase_ ,  UpperCAmelCase_						)
def 				__lowerCamelCase						( UpperCAmelCase_						:		int						):




      """simple docstring"""





      def remove_articles(UpperCAmelCase_						:		int						):
            return re.sub(R'''\b(a|an|the)\b''' ,  ''' ''' ,  UpperCAmelCase_						)

      def white_space_fix(UpperCAmelCase_						:		Optional[int]						):
            return " ".join(text.split()						)

      def remove_punc(UpperCAmelCase_						:		Dict						):
            a						:str 							=       set(string.punctuation						)
            return "".join(ch for ch in text if ch not in exclude						)

      def lower(UpperCAmelCase_						:		int						):
            return text.lower()

      return white_space_fix(remove_articles(remove_punc(lower(UpperCAmelCase_						)						)						)						)
def 				__lowerCamelCase						( UpperCAmelCase_						:		List[str] ,  UpperCAmelCase_						:		List[Any]						):




      """simple docstring"""





      a						:int 							=       normalize_answer(UpperCAmelCase_						).split()
      a						:Tuple 							=       normalize_answer(UpperCAmelCase_						).split()
      a						:str 							=       Counter(UpperCAmelCase_						) & Counter(UpperCAmelCase_						)
      a						:Optional[int] 							=       sum(common.values()						)
      if num_same == 0:
            return 0
      a						:int 							=       1.0 * num_same / len(UpperCAmelCase_						)
      a						:Optional[int] 							=       1.0 * num_same / len(UpperCAmelCase_						)
      a						:Any 							=       (2 * precision * recall) / (precision + recall)
      return fa
def 				__lowerCamelCase						( UpperCAmelCase_						:		Optional[Any] ,  UpperCAmelCase_						:		List[str]						):




      """simple docstring"""





      return normalize_answer(UpperCAmelCase_						) == normalize_answer(UpperCAmelCase_						)
def 				__lowerCamelCase						( UpperCAmelCase_						:		List[str] ,  UpperCAmelCase_						:		List[str]						):




      """simple docstring"""





      assert len(UpperCAmelCase_						) == len(UpperCAmelCase_						)
      a						:str 							=       0
      for hypo, pred in zip(UpperCAmelCase_ ,  UpperCAmelCase_						):
            em += exact_match_score(UpperCAmelCase_ ,  UpperCAmelCase_						)
      if len(UpperCAmelCase_						) > 0:
            em /= len(UpperCAmelCase_						)
      return {"em": em}
def 				__lowerCamelCase						( UpperCAmelCase_						:		Any						):




      """simple docstring"""





      return model_prefix.startswith('''rag'''						)






def 				__lowerCamelCase						( UpperCAmelCase_						:		Union[str, Any] ,  UpperCAmelCase_						:		str ,  UpperCAmelCase_						:		Any						):




      """simple docstring"""





      a						:Union[str, Any] 							=       {p: p for p in extra_params}
      # T5 models don't have `dropout` param, they have `dropout_rate` instead
      a						:Optional[Any] 							=       '''dropout_rate'''
      for p in extra_params:
            if getattr(UpperCAmelCase_ ,  UpperCAmelCase_ ,  UpperCAmelCase_						):
                  if not hasattr(UpperCAmelCase_ ,  UpperCAmelCase_						) and not hasattr(UpperCAmelCase_ ,  equivalent_param[p]						):
                        logger.info('''config doesn\'t have a `{}` attribute'''.format(UpperCAmelCase_						)						)
                        delattr(UpperCAmelCase_ ,  UpperCAmelCase_						)
                        continue
                  a						:Union[str, Any] 							=       p if hasattr(UpperCAmelCase_ ,  UpperCAmelCase_						) else equivalent_param[p]
                  setattr(UpperCAmelCase_ ,  UpperCAmelCase_ ,  getattr(UpperCAmelCase_ ,  UpperCAmelCase_						)						)
                  delattr(UpperCAmelCase_ ,  UpperCAmelCase_						)
      return hparams, config









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

import sentencepiece as spm

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


snake_case				:    Dict       				=     logging.get_logger(__name__)

snake_case				:    Tuple       				=     '''▁'''

snake_case				:    Any       				=     {'''vocab_file''': '''sentencepiece.bpe.model'''}

snake_case				:    Tuple       				=     {
    '''vocab_file''': {
        '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/sentencepiece.bpe.model''',
        '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/sentencepiece.bpe.model''',
        '''xlm-roberta-large-finetuned-conll02-dutch''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/sentencepiece.bpe.model'''
        ),
        '''xlm-roberta-large-finetuned-conll02-spanish''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/sentencepiece.bpe.model'''
        ),
        '''xlm-roberta-large-finetuned-conll03-english''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/sentencepiece.bpe.model'''
        ),
        '''xlm-roberta-large-finetuned-conll03-german''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/sentencepiece.bpe.model'''
        ),
    }
}

snake_case				:    int       				=     {
    '''xlm-roberta-base''': 5_12,
    '''xlm-roberta-large''': 5_12,
    '''xlm-roberta-large-finetuned-conll02-dutch''': 5_12,
    '''xlm-roberta-large-finetuned-conll02-spanish''': 5_12,
    '''xlm-roberta-large-finetuned-conll03-english''': 5_12,
    '''xlm-roberta-large-finetuned-conll03-german''': 5_12,
}







class 		_snake_case  (      _snake_case							):
 SCREAMING_SNAKE_CASE__      =       VOCAB_FILES_NAMES
 SCREAMING_SNAKE_CASE__      =       PRETRAINED_VOCAB_FILES_MAP
 SCREAMING_SNAKE_CASE__      =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 SCREAMING_SNAKE_CASE__      =       ['input_ids', 'attention_mask']




 def __init__(		self					,  _lowerCamelCase					,  _lowerCamelCase="<s>"					,  _lowerCamelCase="</s>"					,  _lowerCamelCase="</s>"					,  _lowerCamelCase="<s>"					,  _lowerCamelCase="<unk>"					,  _lowerCamelCase="<pad>"					,  _lowerCamelCase="<mask>"					,  _lowerCamelCase = None					,  **_lowerCamelCase					,  ):
       # Mask token behave like a normal word, i.e. include the space before it
       a						:Optional[int] 							=       AddedToken(_lowerCamelCase					,  lstrip=_lowerCamelCase					,  rstrip=_lowerCamelCase    ) if isinstance(_lowerCamelCase					,  _lowerCamelCase    ) else mask_token

       a						:int 							=       {} if sp_model_kwargs is None else sp_model_kwargs

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

       a						:Optional[int] 							=       spm.SentencePieceProcessor(**self.sp_model_kwargs    )
       self.sp_model.Load(str(_lowerCamelCase    )    )
       a						:str 							=       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
       a						:Tuple 							=       {'''<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
       a						:List[str] 							=       1

       a						:Dict 							=       len(self.sp_model    ) + self.fairseq_offset
       a						:List[Any] 							=       {v: k for k, v in self.fairseq_tokens_to_ids.items()}




 def __getstate__(		self    ):
       a						:List[str] 							=       self.__dict__.copy()
       a						:Optional[int] 							=       None
       a						:int 							=       self.sp_model.serialized_model_proto()
       return state




 def __setstate__(		self					,  _lowerCamelCase    ):
       a						:Union[str, Any] 							=       d

       # for backward compatibility
       if not hasattr(self					,  '''sp_model_kwargs'''    ):
             a						:Union[str, Any] 							=       {}

       a						:Optional[int] 							=       spm.SentencePieceProcessor(**self.sp_model_kwargs    )
       self.sp_model.LoadFromSerializedProto(self.sp_model_proto    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase					,  _lowerCamelCase = None    ):

       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       a						:List[Any] 							=       [self.cls_token_id]
       a						:Dict 							=       [self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase					,  _lowerCamelCase = None					,  _lowerCamelCase = False    ):

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

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




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase					,  _lowerCamelCase = None    ):
       a						:int 							=       [self.sep_token_id]
       a						:int 							=       [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]




 @property
 def        SCREAMING_SNAKE_CASE__				(		self    ):
       return len(self.sp_model    ) + self.fairseq_offset + 1  # Add the <mask> token




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:Any 							=       {self.convert_ids_to_tokens(_lowerCamelCase    ): i for i in range(self.vocab_size    )}
       vocab.update(self.added_tokens_encoder    )
       return vocab




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       return self.sp_model.encode(_lowerCamelCase					,  out_type=_lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       if token in self.fairseq_tokens_to_ids:
             return self.fairseq_tokens_to_ids[token]
       a						:Optional[Any] 							=       self.sp_model.PieceToId(_lowerCamelCase    )

       # 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        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       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        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       a						:Tuple 							=       ''''''.join(_lowerCamelCase    ).replace(_lowerCamelCase					,  ''' '''    ).strip()
       return out_string




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase					,  _lowerCamelCase = None    ):
       if not os.path.isdir(_lowerCamelCase    ):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''    )
             return
       a						:int 							=       os.path.join(
           _lowerCamelCase					,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )

       if os.path.abspath(self.vocab_file    ) != os.path.abspath(_lowerCamelCase    ) and os.path.isfile(self.vocab_file    ):
             copyfile(self.vocab_file					,  _lowerCamelCase    )
       elif not os.path.isfile(self.vocab_file    ):
             with open(_lowerCamelCase					,  '''wb'''    ) as fi:
                   a						:List[Any] 							=       self.sp_model.serialized_model_proto()
                   fi.write(_lowerCamelCase    )

       return (out_vocab_file,)





