






'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

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


UpperCamelCase__ =			logging.get_logger(__name__)


UpperCamelCase__ =			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all BART models at https://huggingface.co/models?filter=bart
UpperCamelCase__ =			{
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
}

UpperCamelCase__ =			{
    'facebook/bart-base': 1024,
    'facebook/bart-large': 1024,
    'facebook/bart-large-mnli': 1024,
    'facebook/bart-large-cnn': 1024,
    'facebook/bart-large-xsum': 1024,
    'yjernite/bart_eli5': 1024,
}




@lru_cache()
def 		__SCREAMING_SNAKE_CASE					(  ):


   """simple docstring"""




   lowercase_	:    List[str]           =     (
       list(range(ord("!"							)						,		ord("~"							) + 1							)							) + list(range(ord("¡"							)						,		ord("¬"							) + 1							)							) + list(range(ord("®"							)						,		ord("ÿ"							) + 1							)							)
   )
   lowercase_	:    Dict           =     bs[:]
   lowercase_	:    Optional[int]           =     0
   for b in range(2**8							):
      if b not in bs:
         bs.append(_UpperCamelCase							)
         cs.append(2**8 + n							)
         n += 1
   lowercase_	:    Any           =     [chr(_UpperCamelCase							) for n in cs]
   return dict(zip(_UpperCamelCase						,		_UpperCamelCase							)							)




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    str           =     set()
   lowercase_	:    Any           =     word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)							)
      lowercase_	:    List[str]           =     char
   return pairs





class        _UpperCAmelCase						(		snake_case			):
    __lowerCamelCase:   Optional[Any]		       =    VOCAB_FILES_NAMES
    __lowerCamelCase:   Dict		       =    PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase:   List[Any]		       =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase:   int		       =    ['input_ids', 'attention_mask']




    def __init__(			self  :       str  ,     a  :       Optional[int]  ,     a  :       Dict  ,     a  :       Dict="replace"  ,     a  :       Tuple="<s>"  ,     a  :       Any="</s>"  ,     a  :       Union[str, Any]="</s>"  ,     a  :       Tuple="<s>"  ,     a  :       int="<unk>"  ,     a  :       List[Any]="<pad>"  ,     a  :       Any="<mask>"  ,     a  :       Tuple=False  ,     **a  :       List[str]  ,     ):






       '''simple docstring'''






       lowercase_	:    List[str]           =     AddedToken(a  ,     lstrip=a  ,     rstrip=a			) if isinstance(a  ,     a			) else bos_token
       lowercase_	:    Union[str, Any]           =     AddedToken(a  ,     lstrip=a  ,     rstrip=a			) if isinstance(a  ,     a			) else eos_token
       lowercase_	:    Union[str, Any]           =     AddedToken(a  ,     lstrip=a  ,     rstrip=a			) if isinstance(a  ,     a			) else sep_token
       lowercase_	:    Dict           =     AddedToken(a  ,     lstrip=a  ,     rstrip=a			) if isinstance(a  ,     a			) else cls_token
       lowercase_	:    Any           =     AddedToken(a  ,     lstrip=a  ,     rstrip=a			) if isinstance(a  ,     a			) else unk_token
       lowercase_	:    List[Any]           =     AddedToken(a  ,     lstrip=a  ,     rstrip=a			) if isinstance(a  ,     a			) else pad_token

       # Mask token behave like a normal word, i.e. include the space before it
       lowercase_	:    Optional[Any]           =     AddedToken(a  ,     lstrip=a  ,     rstrip=a			) if isinstance(a  ,     a			) else mask_token

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

       with open(a  ,     encoding="utf-8"			) as vocab_handle:
          lowercase_	:    Tuple           =     json.load(a			)
       lowercase_	:    Union[str, Any]           =     {v: k for k, v in self.encoder.items()}
       lowercase_	:    Optional[Any]           =     errors  # how to handle errors in decoding
       lowercase_	:    Any           =     bytes_to_unicode()
       lowercase_	:    int           =     {v: k for k, v in self.byte_encoder.items()}
       with open(a  ,     encoding="utf-8"			) as merges_handle:
          lowercase_	:    Union[str, Any]           =     merges_handle.read().split("\n"			)[1:-1]
       lowercase_	:    Optional[Any]           =     [tuple(merge.split()			) for merge in bpe_merges]
       lowercase_	:    Tuple           =     dict(zip(a  ,     range(len(a			)			)			)			)
       lowercase_	:    List[Any]           =     {}
       lowercase_	:    Tuple           =     add_prefix_space

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       lowercase_	:    int           =     re.compile(R"\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"			)




    @property
    def 				lowerCAmelCase__				(			self  :       str			):






       '''simple docstring'''






       return len(self.encoder			)




    def 				lowerCAmelCase__				(			self  :       Dict			):






       '''simple docstring'''






       return dict(self.encoder  ,     **self.added_tokens_encoder			)




    def 				lowerCAmelCase__				(			self  :       Optional[Any]  ,     a  :       Dict			):






       '''simple docstring'''






       if token in self.cache:
          return self.cache[token]
       lowercase_	:    int           =     tuple(a			)
       lowercase_	:    Tuple           =     get_pairs(a			)

       if not pairs:
          return token

       while True:
          lowercase_	:    int           =     min(a  ,     key=lambda a			: self.bpe_ranks.get(a  ,     float("inf"			)			)			)
          if bigram not in self.bpe_ranks:
             break
          lowercase_    ,		lowercase_	:    Optional[int]           =     bigram
          lowercase_	:    int           =     []
          lowercase_	:    Any           =     0
          while i < len(a			):
             try:
                lowercase_	:    Any           =     word.index(a  ,     a			)
             except ValueError:
                new_word.extend(word[i:]			)
                break
             else:
                new_word.extend(word[i:j]			)
                lowercase_	:    Union[str, Any]           =     j

             if word[i] == first and i < len(a			) - 1 and word[i + 1] == second:
                new_word.append(first + second			)
                i += 2
             else:
                new_word.append(word[i]			)
                i += 1
          lowercase_	:    Tuple           =     tuple(a			)
          lowercase_	:    int           =     new_word
          if len(a			) == 1:
             break
          else:
             lowercase_	:    str           =     get_pairs(a			)
       lowercase_	:    Dict           =     " ".join(a			)
       lowercase_	:    Dict           =     word
       return word




    def 				lowerCAmelCase__				(			self  :       Tuple  ,     a  :       str			):






       '''simple docstring'''






       lowercase_	:    Optional[int]           =     []
       for token in re.findall(self.pat  ,     a			):
          lowercase_	:    Union[str, Any]           =     "".join(
              self.byte_encoder[b] for b in token.encode("utf-8"			)			)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
          bpe_tokens.extend(bpe_token for bpe_token in self.bpe(a			).split(" "			)			)
       return bpe_tokens




    def 				lowerCAmelCase__				(			self  :       str  ,     a  :       str			):






       '''simple docstring'''






       return self.encoder.get(a  ,     self.encoder.get(self.unk_token			)			)




    def 				lowerCAmelCase__				(			self  :       Any  ,     a  :       Dict			):






       '''simple docstring'''






       return self.decoder.get(a			)




    def 				lowerCAmelCase__				(			self  :       List[Any]  ,     a  :       Union[str, Any]			):






       '''simple docstring'''






       lowercase_	:    str           =     "".join(a			)
       lowercase_	:    Optional[Any]           =     bytearray([self.byte_decoder[c] for c in text]			).decode("utf-8"  ,     errors=self.errors			)
       return text




    def 				lowerCAmelCase__				(			self  :       List[str]  ,     a  :       str  ,     a  :       Union[str, Any] = None			):






       '''simple docstring'''






       if not os.path.isdir(a			):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""			)
          return
       lowercase_	:    Union[str, Any]           =     os.path.join(
           a  ,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)
       lowercase_	:    Optional[int]           =     os.path.join(
           a  ,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]			)

       with open(a  ,     "w"  ,     encoding="utf-8"			) as f:
          f.write(json.dumps(self.encoder  ,     indent=2  ,     sort_keys=a  ,     ensure_ascii=a			) + "\n"			)

       lowercase_	:    Tuple           =     0
       with open(a  ,     "w"  ,     encoding="utf-8"			) as writer:
          writer.write("#version: 0.2\n"			)
          for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,     key=lambda a			: kv[1]			):
             if index != token_index:
                logger.warning(
                    f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                    " Please check that the tokenizer is not corrupted!"			)
                lowercase_	:    Any           =     token_index
             writer.write(" ".join(a			) + "\n"			)
             index += 1

       return vocab_file, merge_file




    def 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     a  :       Dict  ,     a  :       List[Any] = None			):






       '''simple docstring'''






       if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       lowercase_	:    Optional[int]           =     [self.cls_token_id]
       lowercase_	:    List[str]           =     [self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep




    def 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     a  :       Optional[Any]  ,     a  :       int = None  ,     a  :       int = False			):






       '''simple docstring'''






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

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




    def 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     a  :       List[Any]  ,     a  :       Any = None			):






       '''simple docstring'''






       lowercase_	:    List[Any]           =     [self.sep_token_id]
       lowercase_	:    Optional[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]





    def 				lowerCAmelCase__				(			self  :       Optional[Any]  ,     a  :       List[str]  ,     a  :       Tuple=False  ,     **a  :       List[Any]			):






       '''simple docstring'''






       lowercase_	:    Optional[Any]           =     kwargs.pop("add_prefix_space"  ,     self.add_prefix_space			)
       if (is_split_into_words or add_prefix_space) and (len(a			) > 0 and not text[0].isspace()):
          lowercase_	:    Dict           =     " " + text
       return (text, kwargs)












'''simple docstring'''
import multiprocessing
import os
from typing import BinaryIO, Optional, Union

import fsspec

from .. import Dataset, Features, NamedSplit, config
from ..formatting import query_table
from ..packaged_modules.json.json import Json
from ..utils import logging
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader


class        _UpperCAmelCase						(		snake_case			):




    def __init__(			self  :       Tuple  ,     a  :       NestedDataStructureLike[PathLike]  ,     a  :       Optional[NamedSplit] = None  ,     a  :       Optional[Features] = None  ,     a  :       str = None  ,     a  :       bool = False  ,     a  :       bool = False  ,     a  :       Optional[str] = None  ,     a  :       Optional[int] = None  ,     **a  :       List[Any]  ,     ):






       '''simple docstring'''






       super().__init__(
           a  ,     split=a  ,     features=a  ,     cache_dir=a  ,     keep_in_memory=a  ,     streaming=a  ,     num_proc=a  ,     **a  ,     )
       lowercase_	:    str           =     field
       lowercase_	:    Optional[Any]           =     path_or_paths if isinstance(a  ,     a			) else {self.split: path_or_paths}
       lowercase_	:    Any           =     Json(
           cache_dir=a  ,     data_files=a  ,     features=a  ,     field=a  ,     **a  ,     )





    def 				lowerCAmelCase__				(			self  :       Optional[int]			):






       '''simple docstring'''






       if self.streaming:
          lowercase_	:    Any           =     self.builder.as_streaming_dataset(split=self.split			)
       # Build regular (map-style) dataset
       else:
          lowercase_	:    Dict           =     None
          lowercase_	:    Optional[int]           =     None
          lowercase_	:    str           =     None
          lowercase_	:    str           =     None

          self.builder.download_and_prepare(
              download_config=a  ,     download_mode=a  ,     verification_mode=a  ,     base_path=a  ,     num_proc=self.num_proc  ,     )
          lowercase_	:    int           =     self.builder.as_dataset(
              split=self.split  ,     verification_mode=a  ,     in_memory=self.keep_in_memory			)
       return dataset


class        _UpperCAmelCase						:




    def __init__(			self  :       str  ,     a  :       Dataset  ,     a  :       Union[PathLike, BinaryIO]  ,     a  :       Optional[int] = None  ,     a  :       Optional[int] = None  ,     **a  :       List[Any]  ,     ):






       '''simple docstring'''






       if num_proc is not None and num_proc <= 0:
          raise ValueError(f"""num_proc {num_proc} must be an integer > 0."""			)

       lowercase_	:    Dict           =     dataset
       lowercase_	:    Optional[int]           =     path_or_buf
       lowercase_	:    List[Any]           =     batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
       lowercase_	:    Optional[Any]           =     num_proc
       lowercase_	:    List[Any]           =     "utf-8"
       lowercase_	:    List[str]           =     to_json_kwargs




    def 				lowerCAmelCase__				(			self  :       Optional[int]			):






       '''simple docstring'''






       lowercase_	:    str           =     self.to_json_kwargs.pop("path_or_buf"  ,     a			)
       lowercase_	:    Any           =     self.to_json_kwargs.pop("orient"  ,     "records"			)
       lowercase_	:    Any           =     self.to_json_kwargs.pop("lines"  ,     True if orient == "records" else False			)
       lowercase_	:    List[str]           =     self.to_json_kwargs.pop("index"  ,     False if orient in ["split", "table"] else True			)
       lowercase_	:    int           =     self.to_json_kwargs.pop("compression"  ,     a			)

       if compression not in [None, "infer", "gzip", "bz2", "xz"]:
          raise NotImplementedError(f"""`datasets` currently does not support {compression} compression"""			)

       if isinstance(self.path_or_buf  ,     (str, bytes, os.PathLike)			):
          with fsspec.open(self.path_or_buf  ,     "wb"  ,     compression=a			) as buffer:
             lowercase_	:    Dict           =     self._write(file_obj=a  ,     orient=a  ,     lines=a  ,     index=a  ,     **self.to_json_kwargs			)
       else:
          if compression:
             raise NotImplementedError(
                 f"""The compression parameter is not supported when writing to a buffer, but compression={compression}"""
                 " was passed. Please provide a local path instead."			)
          lowercase_	:    Dict           =     self._write(
              file_obj=self.path_or_buf  ,     orient=a  ,     lines=a  ,     index=a  ,     **self.to_json_kwargs			)
       return written




    def 				lowerCAmelCase__				(			self  :       Optional[int]  ,     a  :       List[str]			):






       '''simple docstring'''






       lowercase_    ,		lowercase_    ,		lowercase_    ,		lowercase_    ,		lowercase_	:    List[Any]           =     args

       lowercase_	:    Optional[int]           =     query_table(
           table=self.dataset.data  ,     key=slice(a  ,     offset + self.batch_size			)  ,     indices=self.dataset._indices  ,     )
       lowercase_	:    Dict           =     batch.to_pandas().to_json(
           path_or_buf=a  ,     orient=a  ,     lines=a  ,     index=a  ,     **a			)
       if not json_str.endswith("\n"			):
          json_str += "\n"
       return json_str.encode(self.encoding			)





    def 				lowerCAmelCase__				(			self  :       int  ,     a  :       BinaryIO  ,     a  :       int  ,     a  :       str  ,     a  :       Union[str, Any]  ,     **a  :       str  ,     ):






       '''simple docstring'''






       lowercase_	:    Union[str, Any]           =     0

       if self.num_proc is None or self.num_proc == 1:
          for offset in logging.tqdm(
              range(0  ,     len(self.dataset			)  ,     self.batch_size			)  ,     unit="ba"  ,     disable=not logging.is_progress_bar_enabled()  ,     desc="Creating json from Arrow format"  ,     ):
             lowercase_	:    Dict           =     self._batch_json((offset, orient, lines, index, to_json_kwargs)			)
             written += file_obj.write(a			)
       else:
          lowercase_    ,		lowercase_	:    Any           =     len(self.dataset			), self.batch_size
          with multiprocessing.Pool(self.num_proc			) as pool:
             for json_str in logging.tqdm(
                 pool.imap(
                     self._batch_json  ,     [(offset, orient, lines, index, to_json_kwargs) for offset in range(0  ,     a  ,     a			)]  ,     )  ,     total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size  ,     unit="ba"  ,     disable=not logging.is_progress_bar_enabled()  ,     desc="Creating json from Arrow format"  ,     ):
                written += file_obj.write(a			)

       return written




