


'''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, PreTrainedTokenizer
from ...utils import logging


a_						:       Dict      			=				logging.get_logger(__name__)

a_						:       Any      			=				{"""vocab_file""": """sentencepiece.bpe.model"""}

a_						:       Optional[Any]      			=				{
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
}

a_						:       Optional[Any]      			=				{
    """moussaKam/mbarthez""": 1024,
    """moussaKam/barthez""": 1024,
    """moussaKam/barthez-orangesum-title""": 1024,
}

a_						:       Optional[int]      			=				"""▁"""





class   snake_case					(					lowercase    ):





  """simple docstring"""




  _lowerCamelCase						=						VOCAB_FILES_NAMES
  _lowerCamelCase						=						PRETRAINED_VOCAB_FILES_MAP
  _lowerCamelCase						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _lowerCamelCase						=						["input_ids", "attention_mask"]






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







   """simple docstring"""
   lowerCamelCase_  				=						AddedToken(UpperCamelCase    ,						lstrip=UpperCamelCase    ,						rstrip=UpperCamelCase  ) if isinstance(UpperCamelCase    ,						UpperCamelCase  ) else mask_token

   lowerCamelCase_  				=						{} if sp_model_kwargs is None else sp_model_kwargs

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

   lowerCamelCase_  				=						vocab_file
   lowerCamelCase_  				=						spm.SentencePieceProcessor(**self.sp_model_kwargs  )
   self.sp_model.Load(str(UpperCamelCase  )  )

   lowerCamelCase_  				=						{"<s>": 0, "<pad>": 1, "</s>": 2, "<unk>": 3}

   lowerCamelCase_  				=						len(self.sp_model  ) - 1
   lowerCamelCase_  				=						{v: k for k, v in self.fairseq_tokens_to_ids.items()}






  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None  ):







   """simple docstring"""

   if token_ids_a is None:
    return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
   lowerCamelCase_  				=						[self.cls_token_id]
   lowerCamelCase_  				=						[self.sep_token_id]
   return cls + token_ids_a + sep + sep + token_ids_a + sep






  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None    ,						UpperCamelCase = False  ):







   """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  )) + [1]
   return [1] + ([0] * len(UpperCamelCase  )) + [1, 1] + ([0] * len(UpperCamelCase  )) + [1]






  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None  ):







   """simple docstring"""
   lowerCamelCase_  				=						[self.sep_token_id]
   lowerCamelCase_  				=						[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 						snake_case	(					self  ):







   """simple docstring"""
   return len(self.sp_model  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						{self.convert_ids_to_tokens(UpperCamelCase  ): i for i in range(self.vocab_size  )}
   vocab.update(self.added_tokens_encoder  )
   return vocab






  def 						snake_case	(					self    ,						UpperCamelCase  ):







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






  def 						snake_case	(					self    ,						UpperCamelCase  ):







   """simple docstring"""
   if token in self.fairseq_tokens_to_ids:
    return self.fairseq_tokens_to_ids[token]
   lowerCamelCase_  				=						self.sp_model.PieceToId(UpperCamelCase  )

   return spm_id if spm_id else self.unk_token_id






  def 						snake_case	(					self    ,						UpperCamelCase  ):







   """simple docstring"""
   if index in self.fairseq_ids_to_tokens:
    return self.fairseq_ids_to_tokens[index]
   return self.sp_model.IdToPiece(UpperCamelCase  )






  def 						snake_case	(					self    ,						UpperCamelCase  ):







   """simple docstring"""
   lowerCamelCase_  				=						[]
   lowerCamelCase_  				=						""
   lowerCamelCase_  				=						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(UpperCamelCase  ) + token
     lowerCamelCase_  				=						True
     lowerCamelCase_  				=						[]
    else:
     current_sub_tokens.append(UpperCamelCase  )
     lowerCamelCase_  				=						False
   out_string += self.sp_model.decode(UpperCamelCase  )
   return out_string.strip()






  def __getstate__(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						self.__dict__.copy()
   lowerCamelCase_  				=						None
   return state






  def __setstate__(					self    ,						UpperCamelCase  ):







   """simple docstring"""
   lowerCamelCase_  				=						d

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

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







  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None  ):







   """simple docstring"""
   if not os.path.isdir(UpperCamelCase  ):
    logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''  )
    return
   lowerCamelCase_  				=						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_  				=						self.sp_model.serialized_model_proto()
     fi.write(UpperCamelCase  )

   return (out_vocab_file,)







'''simple docstring'''

import contextlib
import os
import sqlitea

import pytest

from datasets import Dataset, Features, Value
from datasets.io.sql import SqlDatasetReader, SqlDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases, require_sqlalchemy





def __snake_case      (   UpperCAmelCase_		:		Optional[int]      ,       UpperCAmelCase_		:		Dict	):
 assert isinstance(UpperCAmelCase_      ,       UpperCAmelCase_	)
 assert dataset.num_rows == 4
 assert dataset.num_columns == 3
 assert dataset.column_names == ["col_1", "col_2", "col_3"]
 for feature, expected_dtype in expected_features.items():
  assert dataset.features[feature].dtype == expected_dtype





@require_sqlalchemy
@pytest.mark.parametrize("keep_in_memory"      ,       [False, True]	)
def __snake_case      (   UpperCAmelCase_		:		Any      ,       UpperCAmelCase_		:		Any      ,       UpperCAmelCase_		:		List[str]      ,       UpperCAmelCase_		:		Union[str, Any]	):
 lowerCamelCase_  				=						tmp_path / "cache"
 lowerCamelCase_  				=						{"col_1": "string", "col_2": "int64", "col_3": "float64"}
 with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
  lowerCamelCase_  				=						SqlDatasetReader(
      "dataset"      ,       "sqlite:///" + sqlite_path      ,       cache_dir=UpperCAmelCase_      ,       keep_in_memory=UpperCAmelCase_	).read()
 _check_sql_dataset(UpperCAmelCase_      ,       UpperCAmelCase_	)





@require_sqlalchemy
@pytest.mark.parametrize(
    "features"      ,       [
        None,
        {"col_1": "string", "col_2": "int64", "col_3": "float64"},
        {"col_1": "string", "col_2": "string", "col_3": "string"},
        {"col_1": "int32", "col_2": "int32", "col_3": "int32"},
        {"col_1": "float32", "col_2": "float32", "col_3": "float32"},
    ]      ,       )
def __snake_case      (   UpperCAmelCase_		:		Any      ,       UpperCAmelCase_		:		Optional[Any]      ,       UpperCAmelCase_		:		List[str]      ,       UpperCAmelCase_		:		str	):
 lowerCamelCase_  				=						tmp_path / "cache"
 lowerCamelCase_  				=						{"col_1": "string", "col_2": "int64", "col_3": "float64"}
 lowerCamelCase_  				=						features.copy() if features else default_expected_features
 lowerCamelCase_  				=						(
     Features({feature: Value(UpperCAmelCase_	) for feature, dtype in features.items()}	) if features is not None else None
 )
 lowerCamelCase_  				=						SqlDatasetReader("dataset"      ,       "sqlite:///" + sqlite_path      ,       features=UpperCAmelCase_      ,       cache_dir=UpperCAmelCase_	).read()
 _check_sql_dataset(UpperCAmelCase_      ,       UpperCAmelCase_	)





def __snake_case      (   UpperCAmelCase_		:		Union[str, Any]	):
 with contextlib.closing(sqlitea.connect(UpperCAmelCase_	)	) as con:
  lowerCamelCase_  				=						con.cursor()
  cur.execute("SELECT * FROM dataset"	)
  for row in cur:
   yield row





@require_sqlalchemy
def __snake_case      (   UpperCAmelCase_		:		Dict      ,       UpperCAmelCase_		:		Optional[Any]      ,       UpperCAmelCase_		:		List[str]	):
 lowerCamelCase_  				=						tmp_path / "cache"
 lowerCamelCase_  				=						os.path.join(UpperCAmelCase_      ,       "tmp.sql"	)
 lowerCamelCase_  				=						SqlDatasetReader("dataset"      ,       "sqlite:///" + sqlite_path      ,       cache_dir=UpperCAmelCase_	).read()
 SqlDatasetWriter(UpperCAmelCase_      ,       "dataset"      ,       "sqlite:///" + output_sqlite_path      ,       num_proc=1	).write()

 lowerCamelCase_  				=						iter_sql_file(UpperCAmelCase_	)
 lowerCamelCase_  				=						iter_sql_file(UpperCAmelCase_	)

 for rowa, rowa in zip(UpperCAmelCase_      ,       UpperCAmelCase_	):
  assert rowa == rowa





@require_sqlalchemy
def __snake_case      (   UpperCAmelCase_		:		Union[str, Any]      ,       UpperCAmelCase_		:		Union[str, Any]      ,       UpperCAmelCase_		:		Tuple	):
 lowerCamelCase_  				=						tmp_path / "cache"
 lowerCamelCase_  				=						os.path.join(UpperCAmelCase_      ,       "tmp.sql"	)
 lowerCamelCase_  				=						SqlDatasetReader("dataset"      ,       "sqlite:///" + sqlite_path      ,       cache_dir=UpperCAmelCase_	).read()
 SqlDatasetWriter(UpperCAmelCase_      ,       "dataset"      ,       "sqlite:///" + output_sqlite_path      ,       num_proc=2	).write()

 lowerCamelCase_  				=						iter_sql_file(UpperCAmelCase_	)
 lowerCamelCase_  				=						iter_sql_file(UpperCAmelCase_	)

 for rowa, rowa in zip(UpperCAmelCase_      ,       UpperCAmelCase_	):
  assert rowa == rowa







@require_sqlalchemy
def __snake_case      (   UpperCAmelCase_		:		Any      ,       UpperCAmelCase_		:		Tuple      ,       UpperCAmelCase_		:		Tuple	):
 lowerCamelCase_  				=						tmp_path / "cache"
 lowerCamelCase_  				=						os.path.join(UpperCAmelCase_      ,       "tmp.sql"	)
 lowerCamelCase_  				=						SqlDatasetReader("dataset"      ,       "sqlite:///" + sqlite_path      ,       cache_dir=UpperCAmelCase_	).read()
 with pytest.raises(UpperCAmelCase_	):
  SqlDatasetWriter(UpperCAmelCase_      ,       "dataset"      ,       "sqlite:///" + output_sqlite_path      ,       num_proc=0	).write()



