'''simple docstring'''

import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


UpperCamelCase__     :	Union[str, Any]				=			'\\n    Text data.\n    Second line of data.'

UpperCamelCase__     :	Dict				=			'file'







@pytest.fixture(scope='''session'''    )
def __UpperCamelCase(   _A					:				int    ):
			'''simple docstring'''
			UpperCAmelCase__							:				List[Any]   				=  tmp_path_factory.mktemp('''data'''    ) / (FILE_PATH + '''.zstd''')
			UpperCAmelCase__							:				Optional[Any]   				=  bytes(_A  ,			'''utf-8'''    )
			with zstd.open(_A  ,			'''wb'''    ) as f:
						f.write(_A    )
			return path







@pytest.fixture
def __UpperCamelCase(   _A					:				Any    ):
			'''simple docstring'''
			with open(os.path.join(tmpfs.local_root_dir  ,			_A    )  ,			'''w'''    ) as f:
						f.write(_A    )
			return FILE_PATH







@pytest.mark.parametrize('''compression_format'''  ,			['''gzip''', '''xz''', '''zstd''']    )
def __UpperCamelCase(   _A					:				List[str]  ,			_A					:				Optional[Any]  ,			_A					:				Any  ,			_A					:				Dict  ,			_A					:				int  ,			_A					:				Optional[int]    ):
			'''simple docstring'''
			UpperCAmelCase__							:				List[Any]   				=  {'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
			UpperCAmelCase__							:				List[Any]   				=  input_paths[compression_format]
			UpperCAmelCase__							:				Any   				=  tmp_path / '''cache'''
			UpperCAmelCase__							:				Dict   				=  DownloadConfig(cache_dir=_A  ,			extract_compressed_file=_A    )
			UpperCAmelCase__							:				int   				=  cached_path(_A  ,			download_config=_A    )
			with open(_A    ) as f:
						UpperCAmelCase__							:				List[Any]   				=  f.read()
			with open(_A    ) as f:
						UpperCAmelCase__							:				str   				=  f.read()
			assert extracted_file_content == expected_file_content







@pytest.mark.parametrize('''default_extracted'''  ,			[True, False]    )
@pytest.mark.parametrize('''default_cache_dir'''  ,			[True, False]    )
def __UpperCamelCase(   _A					:				List[Any]  ,			_A					:				Optional[int]  ,			_A					:				str  ,			_A					:				List[Any]  ,			_A					:				int    ):
			'''simple docstring'''
			UpperCAmelCase__							:				Union[str, Any]   				=  '''custom_cache'''
			UpperCAmelCase__							:				str   				=  '''custom_extracted_dir'''
			UpperCAmelCase__							:				int   				=  tmp_path / '''custom_extracted_path'''
			if default_extracted:
						UpperCAmelCase__							:				Optional[int]   				=  ('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
			else:
						monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_DIR'''  ,			_A    )
						monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''  ,			str(_A    )    )
						UpperCAmelCase__							:				Any   				=  custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

			UpperCAmelCase__							:				Optional[int]   				=  xz_file
			UpperCAmelCase__							:				str   				=  (
			    DownloadConfig(extract_compressed_file=_A    )
			    if default_cache_dir
			    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir  ,			extract_compressed_file=_A    )
			)
			UpperCAmelCase__							:				Any   				=  cached_path(_A  ,			download_config=_A    )
			assert Path(_A    ).parent.parts[-2:] == expected







def __UpperCamelCase(   _A					:				Any    ):
			'''simple docstring'''
			UpperCAmelCase__							:				Optional[Any]   				=  str(Path(_A    ).resolve()    )
			assert cached_path(_A    ) == text_file
			# relative path
			UpperCAmelCase__							:				Tuple   				=  str(Path(_A    ).resolve().relative_to(Path(os.getcwd()    )    )    )
			assert cached_path(_A    ) == text_file







def __UpperCamelCase(   _A					:				Any    ):
			'''simple docstring'''
			UpperCAmelCase__							:				Union[str, Any]   				=  str(tmp_path.resolve() / '''__missing_file__.txt'''    )
			with pytest.raises(_A    ):
						cached_path(_A    )
			# relative path
			UpperCAmelCase__							:				str   				=  '''./__missing_file__.txt'''
			with pytest.raises(_A    ):
						cached_path(_A    )







def __UpperCamelCase(   _A					:				int    ):
			'''simple docstring'''
			UpperCAmelCase__							:				Tuple   				=  get_from_cache(F'''tmp://{tmpfs_file}'''    )
			with open(_A    ) as f:
						UpperCAmelCase__							:				Optional[Any]   				=  f.read()
			assert output_file_content == FILE_CONTENT







@patch('''datasets.config.HF_DATASETS_OFFLINE'''  ,			_A    )
def __UpperCamelCase(   ):
			'''simple docstring'''
			with pytest.raises(_A    ):
						cached_path('''https://huggingface.co'''    )







@patch('''datasets.config.HF_DATASETS_OFFLINE'''  ,			_A    )
def __UpperCamelCase(   _A					:				List[Any]    ):
			'''simple docstring'''
			UpperCAmelCase__							:				Union[str, Any]   				=  tmp_path_factory.mktemp('''data'''    ) / '''file.html'''
			with pytest.raises(_A    ):
						http_get('''https://huggingface.co'''  ,			temp_file=_A    )
			with pytest.raises(_A    ):
						http_head('''https://huggingface.co'''    )







@patch('''datasets.config.HF_DATASETS_OFFLINE'''  ,			_A    )
def __UpperCamelCase(   _A					:				Dict    ):
			'''simple docstring'''
			UpperCAmelCase__							:				List[str]   				=  tmp_path_factory.mktemp('''data'''    ) / '''file.html'''
			with pytest.raises(_A    ):
						ftp_get('''ftp://huggingface.co'''  ,			temp_file=_A    )
			with pytest.raises(_A    ):
						ftp_head('''ftp://huggingface.co'''    )







@patch('''datasets.config.HF_DATASETS_OFFLINE'''  ,			_A    )
def __UpperCamelCase(   _A					:				Any    ):
			'''simple docstring'''
			UpperCAmelCase__							:				List[str]   				=  tmp_path_factory.mktemp('''data'''    ) / '''file.html'''
			with pytest.raises(_A    ):
						fsspec_get('''s3://huggingface.co'''  ,			temp_file=_A    )
			with pytest.raises(_A    ):
						fsspec_head('''s3://huggingface.co'''    )





'''simple docstring'''

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

import sentencepiece as spm

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


UpperCamelCase__     :	Union[str, Any]				=			logging.get_logger(__name__)

UpperCamelCase__     :	str				=			{'vocab_file': 'sentencepiece.model'}

UpperCamelCase__     :	int				=			{
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
}

UpperCamelCase__     :	Any				=			{
    'google/rembert': 256,
}


class 				_lowercase	(      lowerCAmelCase   ):
      '''simple docstring'''


      UpperCAmelCase_      :      List[Any]      							=   VOCAB_FILES_NAMES
      UpperCAmelCase_      :      List[Any]      							=   PRETRAINED_VOCAB_FILES_MAP
      UpperCAmelCase_      :      Tuple      							=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




      def __init__(				self					,lowerCamelCase_					,lowerCamelCase_=False					,lowerCamelCase_=True					,lowerCamelCase_=True					,lowerCamelCase_="[CLS]"					,lowerCamelCase_="[SEP]"					,lowerCamelCase_="[UNK]"					,lowerCamelCase_="[SEP]"					,lowerCamelCase_="[PAD]"					,lowerCamelCase_="[CLS]"					,lowerCamelCase_="[MASK]"					,**lowerCamelCase_					,)			->			Tuple:



         '''simple docstring'''



         super().__init__(
             do_lower_case=lowerCamelCase_					,remove_space=lowerCamelCase_					,keep_accents=lowerCamelCase_					,bos_token=lowerCamelCase_					,eos_token=lowerCamelCase_					,unk_token=lowerCamelCase_					,sep_token=lowerCamelCase_					,pad_token=lowerCamelCase_					,cls_token=lowerCamelCase_					,mask_token=lowerCamelCase_					,**lowerCamelCase_					,)

         UpperCAmelCase__							:				Union[str, Any]   				=  do_lower_case
         UpperCAmelCase__							:				str   				=  remove_space
         UpperCAmelCase__							:				Optional[Any]   				=  keep_accents
         UpperCAmelCase__							:				List[Any]   				=  vocab_file

         UpperCAmelCase__							:				Dict   				=  spm.SentencePieceProcessor()
         self.sp_model.Load(lowerCamelCase_							)




      @property
      def 		lowerCAmelCase__					(				self							)			->			Optional[Any]:



         '''simple docstring'''



         return len(self.sp_model							)




      def 		lowerCAmelCase__					(				self							)			->			Dict:



         '''simple docstring'''



         UpperCAmelCase__							:				Optional[int]   				=  {self.convert_ids_to_tokens(lowerCamelCase_							): i for i in range(self.vocab_size							)}
         vocab.update(self.added_tokens_encoder							)
         return vocab




      def __getstate__(				self							)			->			Optional[Any]:



         '''simple docstring'''



         UpperCAmelCase__							:				Optional[int]   				=  self.__dict__.copy()
         UpperCAmelCase__							:				Any   				=  None
         return state




      def __setstate__(				self					,lowerCamelCase_							)			->			Optional[Any]:



         '''simple docstring'''



         UpperCAmelCase__							:				List[str]   				=  d
         UpperCAmelCase__							:				Any   				=  spm.SentencePieceProcessor()
         self.sp_model.Load(self.vocab_file							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_					,lowerCamelCase_=False							)			->			Tuple:



         '''simple docstring'''



         UpperCAmelCase__							:				str   				=  self.sp_model.EncodeAsPieces(lowerCamelCase_							)
         return pieces




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			str:



         '''simple docstring'''



         return self.sp_model.PieceToId(lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			Optional[int]:



         '''simple docstring'''



         return self.sp_model.IdToPiece(lowerCamelCase_							)




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



         '''simple docstring'''



         UpperCAmelCase__							:				List[Any]   				=  self.sp_model.decode_pieces(lowerCamelCase_							)
         return out_string




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



         '''simple docstring'''



         UpperCAmelCase__							:				Union[str, Any]   				=  [self.sep_token_id]
         UpperCAmelCase__							:				List[Any]   				=  [self.cls_token_id]
         if token_ids_a is None:
            return cls + token_ids_a + sep
         return cls + token_ids_a + sep + token_ids_a + sep




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



         '''simple docstring'''



         if already_has_special_tokens:
            if token_ids_a is not None:
               raise ValueError(
                   '''You should not supply a second sequence if the provided sequence of '''
                   '''ids is already formatted with special tokens for the model.'''							)
            return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

         if token_ids_a is not None:
            return [1] + ([0] * len(lowerCamelCase_							)) + [1] + ([0] * len(lowerCamelCase_							)) + [1]
         return [1] + ([0] * len(lowerCamelCase_							)) + [1]




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



         '''simple docstring'''



         UpperCAmelCase__							:				Tuple   				=  [self.sep_token_id]
         UpperCAmelCase__							:				List[Any]   				=  [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							) * [0] + len(token_ids_a + sep							) * [1]




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



         '''simple docstring'''



         if not os.path.isdir(lowerCamelCase_							):
            logger.error('''Vocabulary path ({}) should be a directory'''.format(lowerCamelCase_							)							)
            return
         UpperCAmelCase__							:				Union[str, Any]   				=  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_							):
            copyfile(self.vocab_file					,lowerCamelCase_							)

         return (out_vocab_file,)




