
'''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,
)


_snake_case				:   List[str]     =				"""\
    Text data.
    Second line of data."""

_snake_case				:   str     =				"""file"""



@pytest.fixture(scope="session"  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Tuple  ):
						_SCREAMING_SNAKE_CASE				= tmp_path_factory.mktemp("data"  ) / (FILE_PATH + ".zstd")
						_SCREAMING_SNAKE_CASE				= bytes(_SCREAMING_SNAKE_CASE	,			"utf-8"  )
						with zstd.open(_SCREAMING_SNAKE_CASE	,			"wb"  ) as f:
												f.write(_SCREAMING_SNAKE_CASE  )
						return path



@pytest.fixture
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Dict  ):
						with open(os.path.join(tmpfs.local_root_dir	,			_SCREAMING_SNAKE_CASE  )	,			"w"  ) as f:
												f.write(_SCREAMING_SNAKE_CASE  )
						return FILE_PATH



@pytest.mark.parametrize("compression_format"	,			["gzip", "xz", "zstd"]  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Optional[Any]	,			_SCREAMING_SNAKE_CASE		:   Union[str, Any]	,			_SCREAMING_SNAKE_CASE		:   Any	,			_SCREAMING_SNAKE_CASE		:   Optional[int]	,			_SCREAMING_SNAKE_CASE		:   Optional[Any]	,			_SCREAMING_SNAKE_CASE		:   Optional[int]  ):
						_SCREAMING_SNAKE_CASE				= {"gzip": gz_file, "xz": xz_file, "zstd": zstd_path}
						_SCREAMING_SNAKE_CASE				= input_paths[compression_format]
						_SCREAMING_SNAKE_CASE				= tmp_path / "cache"
						_SCREAMING_SNAKE_CASE				= DownloadConfig(cache_dir=_SCREAMING_SNAKE_CASE	,			extract_compressed_file=_SCREAMING_SNAKE_CASE  )
						_SCREAMING_SNAKE_CASE				= cached_path(_SCREAMING_SNAKE_CASE	,			download_config=_SCREAMING_SNAKE_CASE  )
						with open(_SCREAMING_SNAKE_CASE  ) as f:
												_SCREAMING_SNAKE_CASE				= f.read()
						with open(_SCREAMING_SNAKE_CASE  ) as f:
												_SCREAMING_SNAKE_CASE				= 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 			_a		(	_SCREAMING_SNAKE_CASE		:   int	,			_SCREAMING_SNAKE_CASE		:   str	,			_SCREAMING_SNAKE_CASE		:   int	,			_SCREAMING_SNAKE_CASE		:   str	,			_SCREAMING_SNAKE_CASE		:   Any  ):
						_SCREAMING_SNAKE_CASE				= "custom_cache"
						_SCREAMING_SNAKE_CASE				= "custom_extracted_dir"
						_SCREAMING_SNAKE_CASE				= tmp_path / "custom_extracted_path"
						if default_extracted:
												_SCREAMING_SNAKE_CASE				= ("downloads" if default_cache_dir else custom_cache_dir, "extracted")
						else:
												monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_DIR"	,			_SCREAMING_SNAKE_CASE  )
												monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_PATH"	,			str(_SCREAMING_SNAKE_CASE  )  )
												_SCREAMING_SNAKE_CASE				= custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

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



def 			_a		(	_SCREAMING_SNAKE_CASE		:   Optional[int]  ):
						# absolute path
						_SCREAMING_SNAKE_CASE				= str(Path(_SCREAMING_SNAKE_CASE  ).resolve()  )
						assert cached_path(_SCREAMING_SNAKE_CASE  ) == text_file
						# relative path
						_SCREAMING_SNAKE_CASE				= str(Path(_SCREAMING_SNAKE_CASE  ).resolve().relative_to(Path(os.getcwd()  )  )  )
						assert cached_path(_SCREAMING_SNAKE_CASE  ) == text_file



def 			_a		(	_SCREAMING_SNAKE_CASE		:   str  ):
						# absolute path
						_SCREAMING_SNAKE_CASE				= str(tmp_path.resolve() / "__missing_file__.txt"  )
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												cached_path(_SCREAMING_SNAKE_CASE  )
						# relative path
						_SCREAMING_SNAKE_CASE				= "./__missing_file__.txt"
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												cached_path(_SCREAMING_SNAKE_CASE  )



def 			_a		(	_SCREAMING_SNAKE_CASE		:   str  ):
						_SCREAMING_SNAKE_CASE				= get_from_cache(F'tmp://{tmpfs_file}'  )
						with open(_SCREAMING_SNAKE_CASE  ) as f:
												_SCREAMING_SNAKE_CASE				= f.read()
						assert output_file_content == FILE_CONTENT



@patch("datasets.config.HF_DATASETS_OFFLINE"	,			_SCREAMING_SNAKE_CASE  )
def 			_a		(	):
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												cached_path("https://huggingface.co"  )



@patch("datasets.config.HF_DATASETS_OFFLINE"	,			_SCREAMING_SNAKE_CASE  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   str  ):
						_SCREAMING_SNAKE_CASE				= tmp_path_factory.mktemp("data"  ) / "file.html"
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												http_get("https://huggingface.co"	,			temp_file=_SCREAMING_SNAKE_CASE  )
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												http_head("https://huggingface.co"  )



@patch("datasets.config.HF_DATASETS_OFFLINE"	,			_SCREAMING_SNAKE_CASE  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Tuple  ):
						_SCREAMING_SNAKE_CASE				= tmp_path_factory.mktemp("data"  ) / "file.html"
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												ftp_get("ftp://huggingface.co"	,			temp_file=_SCREAMING_SNAKE_CASE  )
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												ftp_head("ftp://huggingface.co"  )




@patch("datasets.config.HF_DATASETS_OFFLINE"	,			_SCREAMING_SNAKE_CASE  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Any  ):
						_SCREAMING_SNAKE_CASE				= tmp_path_factory.mktemp("data"  ) / "file.html"
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												fsspec_get("s3://huggingface.co"	,			temp_file=_SCREAMING_SNAKE_CASE  )
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												fsspec_head("s3://huggingface.co"  )

'''simple docstring'''







from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest


@require_tokenizers
class 			lowerCAmelCase (				__UpperCAmelCase			):
		a							:					Dict       =					DistilBertTokenizer
		a							:					Tuple       =					DistilBertTokenizerFast
		a							:					List[str]       =					True




		@slow
		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= DistilBertTokenizer.from_pretrained("distilbert-base-uncased"      )

								_SCREAMING_SNAKE_CASE				= tokenizer.encode("sequence builders"					,						add_special_tokens=UpperCamelCase      )
								_SCREAMING_SNAKE_CASE				= tokenizer.encode("multi-sequence build"					,						add_special_tokens=UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= tokenizer.build_inputs_with_special_tokens(UpperCamelCase      )
								_SCREAMING_SNAKE_CASE				= tokenizer.build_inputs_with_special_tokens(UpperCamelCase					,						UpperCamelCase      )

								assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
								assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
								    tokenizer.sep_token_id
								]