
"""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,
)


__magic_name__									=					'''\\n    Text data.\n    Second line of data.'''

__magic_name__									=					'''file'''




@pytest.fixture(scope="session"   )
def      __lowerCamelCase	(		UpperCamelCase__   ):


	"""simple docstring"""






	_UpperCAmelCase			=    tmp_path_factory.mktemp("data"   ) / (FILE_PATH + ".zstd")
	_UpperCAmelCase			=    bytes(snake_case__					,  "utf-8"   )
	with zstd.open(snake_case__					,  "wb"   ) as f:
		f.write(snake_case__   )
	return path




@pytest.fixture
def      __lowerCamelCase	(		UpperCamelCase__   ):


	"""simple docstring"""






	with open(os.path.join(tmpfs.local_root_dir					,  snake_case__   )					,  "w"   ) as f:
		f.write(snake_case__   )
	return FILE_PATH




@pytest.mark.parametrize("compression_format"					,  ["gzip", "xz", "zstd"]   )
def      __lowerCamelCase	(		UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__   ):


	"""simple docstring"""






	_UpperCAmelCase			=    {"gzip": gz_file, "xz": xz_file, "zstd": zstd_path}
	_UpperCAmelCase			=    input_paths[compression_format]
	_UpperCAmelCase			=    tmp_path / "cache"
	_UpperCAmelCase			=    DownloadConfig(cache_dir=snake_case__					,  extract_compressed_file=snake_case__   )
	_UpperCAmelCase			=    cached_path(snake_case__					,  download_config=snake_case__   )
	with open(snake_case__   ) as f:
		_UpperCAmelCase			=    f.read()
	with open(snake_case__   ) as f:
		_UpperCAmelCase			=    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      __lowerCamelCase	(		UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__   ):


	"""simple docstring"""






	_UpperCAmelCase			=    "custom_cache"
	_UpperCAmelCase			=    "custom_extracted_dir"
	_UpperCAmelCase			=    tmp_path / "custom_extracted_path"
	if default_extracted:
		_UpperCAmelCase			=    ("downloads" if default_cache_dir else custom_cache_dir, "extracted")
	else:
		monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_DIR"					,  snake_case__   )
		monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_PATH"					,  str(snake_case__   )   )
		_UpperCAmelCase			=    custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

	_UpperCAmelCase			=    xz_file
	_UpperCAmelCase			=    (
	    DownloadConfig(extract_compressed_file=snake_case__   )
	    if default_cache_dir
	    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir					,  extract_compressed_file=snake_case__   )
	)
	_UpperCAmelCase			=    cached_path(snake_case__					,  download_config=snake_case__   )
	assert Path(snake_case__   ).parent.parts[-2:] == expected




def      __lowerCamelCase	(		UpperCamelCase__   ):


	"""simple docstring"""






	_UpperCAmelCase			=    str(Path(snake_case__   ).resolve()   )
	assert cached_path(snake_case__   ) == text_file
	# relative path
	_UpperCAmelCase			=    str(Path(snake_case__   ).resolve().relative_to(Path(os.getcwd()   )   )   )
	assert cached_path(snake_case__   ) == text_file




def      __lowerCamelCase	(		UpperCamelCase__   ):


	"""simple docstring"""






	_UpperCAmelCase			=    str(tmp_path.resolve() / "__missing_file__.txt"   )
	with pytest.raises(snake_case__   ):
		cached_path(snake_case__   )
	# relative path
	_UpperCAmelCase			=    "./__missing_file__.txt"
	with pytest.raises(snake_case__   ):
		cached_path(snake_case__   )




def      __lowerCamelCase	(		UpperCamelCase__   ):


	"""simple docstring"""






	_UpperCAmelCase			=    get_from_cache(f"tmp://{tmpfs_file}"   )
	with open(snake_case__   ) as f:
		_UpperCAmelCase			=    f.read()
	assert output_file_content == FILE_CONTENT




@patch("datasets.config.HF_DATASETS_OFFLINE"					,  snake_case__   )
def      __lowerCamelCase	(		):


	"""simple docstring"""






	with pytest.raises(snake_case__   ):
		cached_path("https://huggingface.co"   )




@patch("datasets.config.HF_DATASETS_OFFLINE"					,  snake_case__   )
def      __lowerCamelCase	(		UpperCamelCase__   ):


	"""simple docstring"""






	_UpperCAmelCase			=    tmp_path_factory.mktemp("data"   ) / "file.html"
	with pytest.raises(snake_case__   ):
		http_get("https://huggingface.co"					,  temp_file=snake_case__   )
	with pytest.raises(snake_case__   ):
		http_head("https://huggingface.co"   )




@patch("datasets.config.HF_DATASETS_OFFLINE"					,  snake_case__   )
def      __lowerCamelCase	(		UpperCamelCase__   ):


	"""simple docstring"""






	_UpperCAmelCase			=    tmp_path_factory.mktemp("data"   ) / "file.html"
	with pytest.raises(snake_case__   ):
		ftp_get("ftp://huggingface.co"					,  temp_file=snake_case__   )
	with pytest.raises(snake_case__   ):
		ftp_head("ftp://huggingface.co"   )




@patch("datasets.config.HF_DATASETS_OFFLINE"					,  snake_case__   )
def      __lowerCamelCase	(		UpperCamelCase__   ):


	"""simple docstring"""






	_UpperCAmelCase			=    tmp_path_factory.mktemp("data"   ) / "file.html"
	with pytest.raises(snake_case__   ):
		fsspec_get("s3://huggingface.co"					,  temp_file=snake_case__   )
	with pytest.raises(snake_case__   ):
		fsspec_head("s3://huggingface.co"   )






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

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
						from .tokenization_barthez import BarthezTokenizer
else:
						__a         =   None

__a         =   logging.get_logger(__name__)

__a         =   {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

__a         =   {
    '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'
        ),
    },
    'tokenizer_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json'
        ),
    },
}

__a         =   {
    'moussaKam/mbarthez': 1_0_2_4,
    'moussaKam/barthez': 1_0_2_4,
    'moussaKam/barthez-orangesum-title': 1_0_2_4,
}

__a         =   '▁'
class 					lowercase__(							UpperCAmelCase				):



	"""simple docstring"""




	a     :int       	=      VOCAB_FILES_NAMES
	a     :Any       	=      PRETRAINED_VOCAB_FILES_MAP
	a     :Optional[int]       	=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a     :Dict       	=      ['input_ids', 'attention_mask']
	a     :Optional[Any]       	=      BarthezTokenizer
	def __init__(			self    :     Dict			,				SCREAMING_SNAKE_CASE_    :     Optional[Any]=None			,				SCREAMING_SNAKE_CASE_    :     Dict=None			,				SCREAMING_SNAKE_CASE_    :     Dict="<s>"			,				SCREAMING_SNAKE_CASE_    :     Optional[Any]="</s>"			,				SCREAMING_SNAKE_CASE_    :     int="</s>"			,				SCREAMING_SNAKE_CASE_    :     Optional[int]="<s>"			,				SCREAMING_SNAKE_CASE_    :     Union[str, Any]="<unk>"			,				SCREAMING_SNAKE_CASE_    :     List[str]="<pad>"			,				SCREAMING_SNAKE_CASE_    :     Any="<mask>"			,				**SCREAMING_SNAKE_CASE_    :     Union[str, Any]			,				)			->	Any:
					# Mask token behave like a normal word, i.e. include the space before it
					lowercase_	    =   AddedToken(SCREAMING_SNAKE_CASE_			,				lstrip=SCREAMING_SNAKE_CASE_			,				rstrip=SCREAMING_SNAKE_CASE_			) if isinstance(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			) else mask_token

					super().__init__(
					    SCREAMING_SNAKE_CASE_			,				tokenizer_file=SCREAMING_SNAKE_CASE_			,				bos_token=SCREAMING_SNAKE_CASE_			,				eos_token=SCREAMING_SNAKE_CASE_			,				unk_token=SCREAMING_SNAKE_CASE_			,				sep_token=SCREAMING_SNAKE_CASE_			,				cls_token=SCREAMING_SNAKE_CASE_			,				pad_token=SCREAMING_SNAKE_CASE_			,				mask_token=SCREAMING_SNAKE_CASE_			,				**SCREAMING_SNAKE_CASE_			,				)

					lowercase_	    =   vocab_file
					lowercase_	    =   False if not self.vocab_file else True
	def 		_lowercase    (			self    :     Optional[Any]			,				SCREAMING_SNAKE_CASE_    :     List[int]			,				SCREAMING_SNAKE_CASE_    :     Optional[List[int]] = None			)			->	List[int]:

					if token_ids_a is None:
									return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					lowercase_	    =   [self.cls_token_id]
					lowercase_	    =   [self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep
	def 		_lowercase    (			self    :     int			,				SCREAMING_SNAKE_CASE_    :     List[int]			,				SCREAMING_SNAKE_CASE_    :     Optional[List[int]] = None			)			->	List[int]:
					lowercase_	    =   [self.sep_token_id]
					lowercase_	    =   [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 		_lowercase    (			self    :     Optional[Any]			,				SCREAMING_SNAKE_CASE_    :     str			,				SCREAMING_SNAKE_CASE_    :     Optional[str] = None			)			->	Tuple[str]:
					if not self.can_save_slow_tokenizer:
									raise ValueError(
									    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
									    '''tokenizer.'''			)

					if not os.path.isdir(SCREAMING_SNAKE_CASE_			):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''			)
									return
					lowercase_	    =   os.path.join(
					    SCREAMING_SNAKE_CASE_			,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)

					if os.path.abspath(self.vocab_file			) != os.path.abspath(SCREAMING_SNAKE_CASE_			):
									copyfile(self.vocab_file			,				SCREAMING_SNAKE_CASE_			)

					return (out_vocab_file,)




