

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 						_snake_case(    SCREAMING_SNAKE_CASE__			:	int      )							->      Optional[Any]:





    '''simple docstring'''






    assert "mock" in _fsspec_registry
    assert "bz2" in _fsspec_registry
def 						_snake_case(    )							->      List[str]:





    '''simple docstring'''






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





    '''simple docstring'''






    A__          =   'mock-s3-bucket'
    A__          =   f's3://{mock_bucket}'
    A__          =   extract_path_from_uri(SCREAMING_SNAKE_CASE__      )
    assert dataset_path.startswith('s3://'      ) is False

    A__          =   './local/path'
    A__          =   extract_path_from_uri(SCREAMING_SNAKE_CASE__      )
    assert dataset_path == new_dataset_path
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	List[str]      )							->      int:





    '''simple docstring'''






    A__          =   is_remote_filesystem(SCREAMING_SNAKE_CASE__      )
    assert is_remote is True

    A__          =   fsspec.filesystem('file'      )

    A__          =   is_remote_filesystem(SCREAMING_SNAKE_CASE__      )
    assert is_remote is False
@pytest.mark.parametrize('compression_fs_class'    ,			SCREAMING_SNAKE_CASE__      )
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	str    ,			SCREAMING_SNAKE_CASE__			:	int    ,			SCREAMING_SNAKE_CASE__			:	str    ,			SCREAMING_SNAKE_CASE__			:	List[str]    ,			SCREAMING_SNAKE_CASE__			:	List[Any]    ,			SCREAMING_SNAKE_CASE__			:	Optional[int]      )							->      Optional[int]:





    '''simple docstring'''






    A__          =   {'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_file, 'bz2': bza_file, 'lz4': lza_file}
    A__          =   input_paths[compression_fs_class.protocol]
    if input_path is None:
        A__          =   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(SCREAMING_SNAKE_CASE__      )
    A__          =   fsspec.filesystem(compression_fs_class.protocol    ,			fo=SCREAMING_SNAKE_CASE__      )
    assert isinstance(SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__      )
    A__          =   os.path.basename(SCREAMING_SNAKE_CASE__      )
    A__          =   expected_filename[: expected_filename.rindex('.'      )]
    assert fs.glob('*'      ) == [expected_filename]
    with fs.open(SCREAMING_SNAKE_CASE__    ,			'r'    ,			encoding='utf-8'      ) as f, open(SCREAMING_SNAKE_CASE__    ,			encoding='utf-8'      ) as expected_file:
        assert f.read() == expected_file.read()
@pytest.mark.parametrize('protocol'    ,			['zip', 'gzip']      )
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	List[Any]    ,			SCREAMING_SNAKE_CASE__			:	Dict    ,			SCREAMING_SNAKE_CASE__			:	Optional[Any]      )							->      Optional[int]:





    '''simple docstring'''






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





    '''simple docstring'''






    A__          =   hf_api.dataset_info(SCREAMING_SNAKE_CASE__    ,			token=SCREAMING_SNAKE_CASE__      )
    A__          =   HfFileSystem(repo_info=SCREAMING_SNAKE_CASE__    ,			token=SCREAMING_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(SCREAMING_SNAKE_CASE__      ) as f:
        assert hffs.open('data/text_data.txt'    ,			'r'      ).read() == f.read()

def 						_snake_case(    )							->      str:





    '''simple docstring'''






    A__          =   'bz2'

    # Import module
    import datasets.filesystems

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

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







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


lowerCamelCase__ :   Union[str, Any]					=							{
    'configuration_layoutlmv2': ['LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LayoutLMv2Config'],
    'processing_layoutlmv2': ['LayoutLMv2Processor'],
    'tokenization_layoutlmv2': ['LayoutLMv2Tokenizer'],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__ :   Any					=							['LayoutLMv2TokenizerFast']

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__ :   Dict					=							['LayoutLMv2FeatureExtractor']
   lowerCamelCase__ :   Dict					=							['LayoutLMv2ImageProcessor']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__ :   Union[str, Any]					=							[
       'LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST',
       'LayoutLMv2ForQuestionAnswering',
       'LayoutLMv2ForSequenceClassification',
       'LayoutLMv2ForTokenClassification',
       'LayoutLMv2Layer',
       'LayoutLMv2Model',
       'LayoutLMv2PreTrainedModel',
   ]

if TYPE_CHECKING:
   from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
   from .processing_layoutlmva import LayoutLMvaProcessor
   from .tokenization_layoutlmva import LayoutLMvaTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_layoutlmva import (
          LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
          LayoutLMvaForQuestionAnswering,
          LayoutLMvaForSequenceClassification,
          LayoutLMvaForTokenClassification,
          LayoutLMvaLayer,
          LayoutLMvaModel,
          LayoutLMvaPreTrainedModel,
      )
else:
   import sys

   lowerCamelCase__ :   Any					=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)