






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


snake_case__      :	Any       	=      logging.get_logger(__name__)

snake_case__      :	List[Any]       	=      '▁'

snake_case__      :	Tuple       	=      {'vocab_file': 'sentencepiece.bpe.model'}

snake_case__      :	Optional[int]       	=      {
    'vocab_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model',
    }
}

snake_case__      :	int       	=      {
    'facebook/xglm-564M': 2_0_4_8,
}


class 						_a       (  a__    ):






  """simple docstring"""





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




  def __init__(     self		,		_UpperCAmelCase		,		_UpperCAmelCase="<s>"		,		_UpperCAmelCase="</s>"		,		_UpperCAmelCase="</s>"		,		_UpperCAmelCase="<s>"		,		_UpperCAmelCase="<unk>"		,		_UpperCAmelCase="<pad>"		,		_UpperCAmelCase = None		,		**_UpperCAmelCase		,		)			-> None:
     UpperCamelCase_									=     {} if sp_model_kwargs is None else sp_model_kwargs

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

     UpperCamelCase_									=     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=lowercase__		,		eos_token=lowercase__		,		unk_token=lowercase__		,		sep_token=lowercase__		,		cls_token=lowercase__		,		pad_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'

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

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

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

     UpperCamelCase_									=     {v: k for k, v in self.fairseq_tokens_to_ids.items()}




  def __getstate__(     self )			-> List[Any]:
     UpperCamelCase_									=     self.__dict__.copy()
     UpperCamelCase_									=     None
     UpperCamelCase_									=     self.sp_model.serialized_model_proto()
     return state




  def __setstate__(     self		,		_UpperCAmelCase )			-> Tuple:
     UpperCamelCase_									=     d

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

     UpperCamelCase_									=     spm.SentencePieceProcessor(**self.sp_model_kwargs )
     self.sp_model.LoadFromSerializedProto(self.sp_model_proto )




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase		,		_UpperCAmelCase = None )			-> List[int]:





     if token_ids_a is None:
        return [self.sep_token_id] + token_ids_a
     UpperCamelCase_									=     [self.sep_token_id]
     return sep + token_ids_a + sep + sep + token_ids_a




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase		,		_UpperCAmelCase = None		,		_UpperCAmelCase = False )			-> List[int]:





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

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




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase		,		_UpperCAmelCase = None )			-> List[int]:
     UpperCamelCase_									=     [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    _UpperCAmelCase     (     self )			-> List[str]:
     return len(self.sp_model ) + self.fairseq_offset + self.num_madeup_words




  def    _UpperCAmelCase     (     self )			-> str:
     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		,		_UpperCAmelCase )			-> List[str]:
     return self.sp_model.encode(lowercase__		,		out_type=lowercase__ )




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> List[Any]:





     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		,		_UpperCAmelCase )			-> Any:





     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		,		_UpperCAmelCase )			-> str:
     UpperCamelCase_									=     ''''''.join(lowercase__ ).replace(lowercase__		,		' ' ).strip()
     return out_string




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase		,		_UpperCAmelCase = None )			-> Tuple[str]:





     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,)













import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


snake_case__      :	Optional[int]       	=      pytest.mark.integration






@pytest.mark.parametrize('path'    ,      ['paws', 'csv'])
def     _snake_case    (__lowercase    ,      __lowercase):
   inspect_dataset(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     path + '.py'
   assert script_name in os.listdir(__lowercase)
   assert "__pycache__" not in os.listdir(__lowercase)






@pytest.mark.filterwarnings('ignore:inspect_metric is deprecated:FutureWarning')
@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning')
@pytest.mark.parametrize('path'    ,      ['accuracy'])
def     _snake_case    (__lowercase    ,      __lowercase):
   inspect_metric(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     path + '.py'
   assert script_name in os.listdir(__lowercase)
   assert "__pycache__" not in os.listdir(__lowercase)






@pytest.mark.parametrize(
    'path, config_name, expected_splits'    ,      [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_config_info(__lowercase    ,      config_name=__lowercase)
   assert info.config_name == config_name
   assert list(info.splits.keys()) == expected_splits






@pytest.mark.parametrize(
    'path, config_name, expected_exception'    ,      [
        ('paws', None, ValueError),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   with pytest.raises(__lowercase):
      get_dataset_config_info(__lowercase    ,      config_name=__lowercase)






@pytest.mark.parametrize(
    'path, expected'    ,      [
        ('squad', 'plain_text'),
        ('acronym_identification', 'default'),
        ('lhoestq/squad', 'plain_text'),
        ('lhoestq/test', 'default'),
        ('lhoestq/demo1', 'lhoestq--demo1'),
        ('dalle-mini/wit', 'dalle-mini--wit'),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_config_names(__lowercase)
   assert expected in config_names






@pytest.mark.parametrize(
    'path, expected_configs, expected_splits_in_first_config'    ,      [
        ('squad', ['plain_text'], ['train', 'validation']),
        ('dalle-mini/wit', ['dalle-mini--wit'], ['train']),
        ('paws', ['labeled_final', 'labeled_swap', 'unlabeled_final'], ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_infos(__lowercase)
   assert list(infos.keys()) == expected_configs
   UpperCamelCase_									=     expected_configs[0]
   assert expected_config in infos
   UpperCamelCase_									=     infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()) == expected_splits_in_first_config






@pytest.mark.parametrize(
    'path, expected_config, expected_splits'    ,      [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_infos(__lowercase)
   assert expected_config in infos
   UpperCamelCase_									=     infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()) == expected_splits






@pytest.mark.parametrize(
    'path, config_name, expected_exception'    ,      [
        ('paws', None, ValueError),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   with pytest.raises(__lowercase):
      get_dataset_split_names(__lowercase    ,      config_name=__lowercase)





