





'''simple docstring'''




import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard






def        _lowerCAmelCase			(  __snake_case  : int			)     ->     Tuple:
     assert "mock" in _fsspec_registry
     assert "bz2" in _fsspec_registry






def        _lowerCAmelCase			(  )     ->     Dict:
     assert "mock" not in _fsspec_registry
     assert "bz2" in _fsspec_registry






def        _lowerCAmelCase			(  )     ->     str:
     __A						: str      =       'mock-s3-bucket'
     __A						: str      =       f's3://{mock_bucket}'
     __A						: Optional[Any]      =       extract_path_from_uri(__snake_case			)
     assert dataset_path.startswith('s3://'			) is False

     __A						: str      =       './local/path'
     __A						: Dict      =       extract_path_from_uri(__snake_case			)
     assert dataset_path == new_dataset_path






def        _lowerCAmelCase			(  __snake_case  : Union[str, Any]			)     ->     Union[str, Any]:
     __A						: Dict      =       is_remote_filesystem(__snake_case			)
     assert is_remote is True

     __A						: Optional[Any]      =       fsspec.filesystem('file'			)

     __A						: Optional[int]      =       is_remote_filesystem(__snake_case			)
     assert is_remote is False






@pytest.mark.parametrize('compression_fs_class' ,							__snake_case			)
def        _lowerCAmelCase			(  __snake_case  : Optional[int] ,							__snake_case  : Tuple ,							__snake_case  : Optional[int] ,							__snake_case  : Optional[int] ,							__snake_case  : Dict ,							__snake_case  : Tuple ,							__snake_case  : List[Any]			)     ->     Union[str, Any]:
     __A						: Optional[int]      =       {'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_file, 'bz2': bza_file, 'lz4': lza_file}
     __A						: int      =       input_paths[compression_fs_class.protocol]
     if input_path is None:
          __A						: Optional[int]      =       f'for \'{compression_fs_class.protocol}\' compression protocol, '
          if compression_fs_class.protocol == "lz4":
               reason += require_lza.kwargs["reason"]
          elif compression_fs_class.protocol == "zstd":
               reason += require_zstandard.kwargs["reason"]
          pytest.skip(__snake_case			)
     __A						: int      =       fsspec.filesystem(compression_fs_class.protocol ,							fo=__snake_case			)
     assert isinstance(__snake_case ,							__snake_case			)
     __A						: Union[str, Any]      =       os.path.basename(__snake_case			)
     __A						: Union[str, Any]      =       expected_filename[: expected_filename.rindex('.'			)]
     assert fs.glob('*'			) == [expected_filename]
     with fs.open(__snake_case ,							'r' ,							encoding='utf-8'			) as f, open(__snake_case ,							encoding='utf-8'			) as expected_file:
          assert f.read() == expected_file.read()






@pytest.mark.parametrize('protocol' ,							['zip', 'gzip']			)
def        _lowerCAmelCase			(  __snake_case  : Optional[int] ,							__snake_case  : Optional[int] ,							__snake_case  : Optional[int]			)     ->     Dict:
     __A						: List[Any]      =       {'zip': zip_jsonl_path, 'gzip': jsonl_gz_path}
     __A						: Optional[int]      =       compressed_file_paths[protocol]
     __A						: List[Any]      =       'dataset.jsonl'
     __A						: int      =       f'{protocol}://{member_file_path}::{compressed_file_path}'
     __A ,*__A						: Optional[int]      =       fsspec.get_fs_token_paths(__snake_case			)
     assert fs.isfile(__snake_case			)
     assert not fs.isfile('non_existing_' + member_file_path			)






@pytest.mark.integration
def        _lowerCAmelCase			(  __snake_case  : Tuple ,							__snake_case  : Any ,							__snake_case  : Dict ,							__snake_case  : Tuple			)     ->     Tuple:
     __A						: Dict      =       hf_api.dataset_info(__snake_case ,							token=__snake_case			)
     __A						: List[Any]      =       HfFileSystem(repo_info=__snake_case ,							token=__snake_case			)
     assert sorted(hffs.glob('*'			)			) == [".gitattributes", "data"]
     assert hffs.isdir('data'			)
     assert hffs.isfile('.gitattributes'			) and hffs.isfile('data/text_data.txt'			)
     with open(__snake_case			) as f:
          assert hffs.open('data/text_data.txt' ,							'r'			).read() == f.read()







def        _lowerCAmelCase			(  )     ->     List[Any]:
     __A						: str      =       'bz2'

     # Import module
     import datasets.filesystems

     # Overwrite protocol and reload
     register_implementation(__snake_case ,							__snake_case ,							clobber=__snake_case			)
     with pytest.warns(__snake_case			) as warning_info:
          importlib.reload(datasets.filesystems			)

     assert len(__snake_case			) == 1
     assert (
         str(warning_info[0].message			)
         == f'A filesystem protocol was already set for {protocol} and will be overwritten.'
     )






'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase__    :      int						=    logging.get_logger(__name__)

lowercase__    :      int						=    {
    '''andreasmadsen/efficient_mlm_m0.40''': (
        '''https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'''
    ),
}


class  SCREAMING_SNAKE_CASE    (a__							):
     lowerCAmelCase					=       '''roberta-prelayernorm'''


     def __init__(						self						,	_UpperCAmelCase=5_0265						,	_UpperCAmelCase=768						,	_UpperCAmelCase=12						,	_UpperCAmelCase=12						,	_UpperCAmelCase=3072						,	_UpperCAmelCase="gelu"						,	_UpperCAmelCase=0.1						,	_UpperCAmelCase=0.1						,	_UpperCAmelCase=512						,	_UpperCAmelCase=2						,	_UpperCAmelCase=0.02						,	_UpperCAmelCase=1e-1_2						,	_UpperCAmelCase=1						,	_UpperCAmelCase=0						,	_UpperCAmelCase=2						,	_UpperCAmelCase="absolute"						,	_UpperCAmelCase=True						,	_UpperCAmelCase=None						,	**_UpperCAmelCase						,	):

          '''simple docstring'''






          super().__init__(pad_token_id=_UpperCAmelCase						,	bos_token_id=_UpperCAmelCase						,	eos_token_id=_UpperCAmelCase						,	**_UpperCAmelCase)

          __A						: Optional[int]      =       vocab_size
          __A						: List[Any]      =       hidden_size
          __A						: Optional[int]      =       num_hidden_layers
          __A						: Optional[Any]      =       num_attention_heads
          __A						: List[str]      =       hidden_act
          __A						: Dict      =       intermediate_size
          __A						: Optional[int]      =       hidden_dropout_prob
          __A						: Optional[Any]      =       attention_probs_dropout_prob
          __A						: Tuple      =       max_position_embeddings
          __A						: Union[str, Any]      =       type_vocab_size
          __A						: Any      =       initializer_range
          __A						: str      =       layer_norm_eps
          __A						: int      =       position_embedding_type
          __A						: Optional[Any]      =       use_cache
          __A						: Any      =       classifier_dropout




class  SCREAMING_SNAKE_CASE    (a__							):


     @property
     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          if self.task == "multiple-choice":
               __A						: Dict      =       {0: 'batch', 1: 'choice', 2: 'sequence'}
          else:
               __A						: Union[str, Any]      =       {0: 'batch', 1: 'sequence'}
          return OrderedDict(
              [
                  ('input_ids', dynamic_axis),
                  ('attention_mask', dynamic_axis),
              ])