


'''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,
)


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

__lowercase	:						Optional[int]       =	'file'






@pytest.fixture(scope='session'   )
def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   Dict   ):
					__a			:       Optional[int]					    =  tmp_path_factory.mktemp('data'   ) / (FILE_PATH + '.zstd')
					__a			:       Optional[int]					    =  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   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   int   ):
					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   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   int						,      _SCREAMING_SNAKE_CASE      :   Optional[int]						,      _SCREAMING_SNAKE_CASE      :   List[Any]						,      _SCREAMING_SNAKE_CASE      :   str						,      _SCREAMING_SNAKE_CASE      :   Optional[int]						,      _SCREAMING_SNAKE_CASE      :   Optional[Any]   ):
					__a			:       Optional[int]					    =  {'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_path}
					__a			:       Optional[int]					    =  input_paths[compression_format]
					__a			:       Any					    =  tmp_path / 'cache'
					__a			:       int					    =  DownloadConfig(cache_dir=_SCREAMING_SNAKE_CASE						,      extract_compressed_file=_SCREAMING_SNAKE_CASE   )
					__a			:       str					    =  cached_path(_SCREAMING_SNAKE_CASE						,      download_config=_SCREAMING_SNAKE_CASE   )
					with open(_SCREAMING_SNAKE_CASE   ) as f:
										__a			:       int					    =  f.read()
					with open(_SCREAMING_SNAKE_CASE   ) as f:
										__a			:       Union[str, Any]					    =  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							(_SCREAMING_SNAKE_CASE      :   int						,      _SCREAMING_SNAKE_CASE      :   Union[str, Any]						,      _SCREAMING_SNAKE_CASE      :   int						,      _SCREAMING_SNAKE_CASE      :   str						,      _SCREAMING_SNAKE_CASE      :   List[Any]   ):
					__a			:       Optional[int]					    =  'custom_cache'
					__a			:       str					    =  'custom_extracted_dir'
					__a			:       Optional[int]					    =  tmp_path / 'custom_extracted_path'
					if default_extracted:
										__a			:       str					    =  ('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   )   )
										__a			:       Union[str, Any]					    =  custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

					__a			:       Optional[int]					    =  xz_file
					__a			:       Dict					    =  (
					    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   )
					)
					__a			:       int					    =  cached_path(_SCREAMING_SNAKE_CASE						,      download_config=_SCREAMING_SNAKE_CASE   )
					assert Path(_SCREAMING_SNAKE_CASE   ).parent.parts[-2:] == expected






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   List[str]   ):
					# absolute path
					__a			:       List[str]					    =  str(Path(_SCREAMING_SNAKE_CASE   ).resolve()   )
					assert cached_path(_SCREAMING_SNAKE_CASE   ) == text_file
					# relative path
					__a			:       List[Any]					    =  str(Path(_SCREAMING_SNAKE_CASE   ).resolve().relative_to(Path(os.getcwd()   )   )   )
					assert cached_path(_SCREAMING_SNAKE_CASE   ) == text_file






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   Optional[int]   ):
					# absolute path
					__a			:       Any					    =  str(tmp_path.resolve() / '__missing_file__.txt'   )
					with pytest.raises(_SCREAMING_SNAKE_CASE   ):
										cached_path(_SCREAMING_SNAKE_CASE   )
					# relative path
					__a			:       Tuple					    =  './__missing_file__.txt'
					with pytest.raises(_SCREAMING_SNAKE_CASE   ):
										cached_path(_SCREAMING_SNAKE_CASE   )






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   List[Any]   ):
					__a			:       Tuple					    =  get_from_cache(F"""tmp://{tmpfs_file}"""   )
					with open(_SCREAMING_SNAKE_CASE   ) as f:
										__a			:       str					    =  f.read()
					assert output_file_content == FILE_CONTENT






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






@patch('datasets.config.HF_DATASETS_OFFLINE'						,      _SCREAMING_SNAKE_CASE   )
def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   Any   ):
					__a			:       Tuple					    =  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   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   Optional[Any]   ):
					__a			:       Optional[Any]					    =  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   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   Dict   ):
					__a			:       Union[str, Any]					    =  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'''



import os
import sys

__lowercase	:						List[Any]       =	os.path.join(os.path.dirname(__file__), 'src')
sys.path.append(SRC_DIR)


from transformers import (
    AutoConfig,
    AutoModel,
    AutoModelForCausalLM,
    AutoModelForMaskedLM,
    AutoModelForQuestionAnswering,
    AutoModelForSequenceClassification,
    AutoTokenizer,
    add_start_docstrings,
)


__lowercase	:						int       =	[
    'torch',
    'numpy',
    'tokenizers',
    'filelock',
    'requests',
    'tqdm',
    'regex',
    'sentencepiece',
    'sacremoses',
    'importlib_metadata',
    'huggingface_hub',
]






@add_start_docstrings(AutoConfig.__doc__   )
def   lowerCamelCase							(*_SCREAMING_SNAKE_CASE      :   List[str]						,      **_SCREAMING_SNAKE_CASE      :   List[Any]   ):
					return AutoConfig.from_pretrained(*_SCREAMING_SNAKE_CASE						,      **_SCREAMING_SNAKE_CASE   )






@add_start_docstrings(AutoTokenizer.__doc__   )
def   lowerCamelCase							(*_SCREAMING_SNAKE_CASE      :   str						,      **_SCREAMING_SNAKE_CASE      :   Any   ):
					return AutoTokenizer.from_pretrained(*_SCREAMING_SNAKE_CASE						,      **_SCREAMING_SNAKE_CASE   )






@add_start_docstrings(AutoModel.__doc__   )
def   lowerCamelCase							(*_SCREAMING_SNAKE_CASE      :   int						,      **_SCREAMING_SNAKE_CASE      :   Union[str, Any]   ):
					return AutoModel.from_pretrained(*_SCREAMING_SNAKE_CASE						,      **_SCREAMING_SNAKE_CASE   )






@add_start_docstrings(AutoModelForCausalLM.__doc__   )
def   lowerCamelCase							(*_SCREAMING_SNAKE_CASE      :   List[Any]						,      **_SCREAMING_SNAKE_CASE      :   Optional[int]   ):
					return AutoModelForCausalLM.from_pretrained(*_SCREAMING_SNAKE_CASE						,      **_SCREAMING_SNAKE_CASE   )






@add_start_docstrings(AutoModelForMaskedLM.__doc__   )
def   lowerCamelCase							(*_SCREAMING_SNAKE_CASE      :   Union[str, Any]						,      **_SCREAMING_SNAKE_CASE      :   List[Any]   ):
					return AutoModelForMaskedLM.from_pretrained(*_SCREAMING_SNAKE_CASE						,      **_SCREAMING_SNAKE_CASE   )






@add_start_docstrings(AutoModelForSequenceClassification.__doc__   )
def   lowerCamelCase							(*_SCREAMING_SNAKE_CASE      :   Optional[Any]						,      **_SCREAMING_SNAKE_CASE      :   Any   ):
					return AutoModelForSequenceClassification.from_pretrained(*_SCREAMING_SNAKE_CASE						,      **_SCREAMING_SNAKE_CASE   )






@add_start_docstrings(AutoModelForQuestionAnswering.__doc__   )
def   lowerCamelCase							(*_SCREAMING_SNAKE_CASE      :   Any						,      **_SCREAMING_SNAKE_CASE      :   List[str]   ):
					return AutoModelForQuestionAnswering.from_pretrained(*_SCREAMING_SNAKE_CASE						,      **_SCREAMING_SNAKE_CASE   )



