





'''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     a__ (					lowercase__  ):






   '''simple docstring'''






   assert "mock" in _fsspec_registry
   assert "bz2" in _fsspec_registry




def     a__ (					):






   '''simple docstring'''






   assert "mock" not in _fsspec_registry
   assert "bz2" in _fsspec_registry




def     a__ (					):






   '''simple docstring'''






   UpperCAmelCase_											="mock-s3-bucket"
   UpperCAmelCase_											=F's3://{mock_bucket}'
   UpperCAmelCase_											=extract_path_from_uri(lowercase__  )
   assert dataset_path.startswith("s3://"  ) is False

   UpperCAmelCase_											="./local/path"
   UpperCAmelCase_											=extract_path_from_uri(lowercase__  )
   assert dataset_path == new_dataset_path




def     a__ (					lowercase__  ):






   '''simple docstring'''






   UpperCAmelCase_											=is_remote_filesystem(lowercase__  )
   assert is_remote is True

   UpperCAmelCase_											=fsspec.filesystem("file"  )

   UpperCAmelCase_											=is_remote_filesystem(lowercase__  )
   assert is_remote is False




@pytest.mark.parametrize("compression_fs_class"  ,    lowercase__  )
def     a__ (					lowercase__  ,    lowercase__  ,    lowercase__  ,    lowercase__  ,    lowercase__  ,    lowercase__  ,    lowercase__  ):






   '''simple docstring'''






   UpperCAmelCase_											={"gzip": gz_file, "xz": xz_file, "zstd": zstd_file, "bz2": bza_file, "lz4": lza_file}
   UpperCAmelCase_											=input_paths[compression_fs_class.protocol]
   if input_path is None:
      UpperCAmelCase_											=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(lowercase__  )
   UpperCAmelCase_											=fsspec.filesystem(compression_fs_class.protocol  ,    fo=lowercase__  )
   assert isinstance(lowercase__  ,    lowercase__  )
   UpperCAmelCase_											=os.path.basename(lowercase__  )
   UpperCAmelCase_											=expected_filename[: expected_filename.rindex("."  )]
   assert fs.glob("*"  ) == [expected_filename]
   with fs.open(lowercase__  ,    "r"  ,    encoding="utf-8"  ) as f, open(lowercase__  ,    encoding="utf-8"  ) as expected_file:
      assert f.read() == expected_file.read()




@pytest.mark.parametrize("protocol"  ,    ["zip", "gzip"]  )
def     a__ (					lowercase__  ,    lowercase__  ,    lowercase__  ):






   '''simple docstring'''






   UpperCAmelCase_											={"zip": zip_jsonl_path, "gzip": jsonl_gz_path}
   UpperCAmelCase_											=compressed_file_paths[protocol]
   UpperCAmelCase_											="dataset.jsonl"
   UpperCAmelCase_											=F'{protocol}://{member_file_path}::{compressed_file_path}'
   UpperCAmelCase_						,       *UpperCAmelCase_											=fsspec.get_fs_token_paths(lowercase__  )
   assert fs.isfile(lowercase__  )
   assert not fs.isfile("non_existing_" + member_file_path  )




@pytest.mark.integration
def     a__ (					lowercase__  ,    lowercase__  ,    lowercase__  ,    lowercase__  ):






   '''simple docstring'''






   UpperCAmelCase_											=hf_api.dataset_info(lowercase__  ,    token=lowercase__  )
   UpperCAmelCase_											=HfFileSystem(repo_info=lowercase__  ,    token=lowercase__  )
   assert sorted(hffs.glob("*"  )  ) == [".gitattributes", "data"]
   assert hffs.isdir("data"  )
   assert hffs.isfile(".gitattributes"  ) and hffs.isfile("data/text_data.txt"  )
   with open(lowercase__  ) as f:
      assert hffs.open("data/text_data.txt"  ,    "r"  ).read() == f.read()





def     a__ (					):






   '''simple docstring'''






   UpperCAmelCase_											="bz2"

   # Import module
   import datasets.filesystems

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

   assert len(lowercase__  ) == 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_tf_available, is_torch_available


__lowercase  :   Optional[Any]						      ={
    """configuration_groupvit""": [
        """GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """GroupViTConfig""",
        """GroupViTOnnxConfig""",
        """GroupViTTextConfig""",
        """GroupViTVisionConfig""",
    ],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __lowercase  :   List[Any]						      =[
         """GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """GroupViTModel""",
         """GroupViTPreTrainedModel""",
         """GroupViTTextModel""",
         """GroupViTVisionModel""",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __lowercase  :   List[str]						      =[
         """TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """TFGroupViTModel""",
         """TFGroupViTPreTrainedModel""",
         """TFGroupViTTextModel""",
         """TFGroupViTVisionModel""",
     ]

if TYPE_CHECKING:
     from .configuration_groupvit import (
         GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
         GroupViTConfig,
         GroupViTOnnxConfig,
         GroupViTTextConfig,
         GroupViTVisionConfig,
     )

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_groupvit import (
              GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              GroupViTModel,
              GroupViTPreTrainedModel,
              GroupViTTextModel,
              GroupViTVisionModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_groupvit import (
              TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              TFGroupViTModel,
              TFGroupViTPreTrainedModel,
              TFGroupViTTextModel,
              TFGroupViTVisionModel,
          )

else:
     import sys

     __lowercase  :   str						      =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




