



'''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       (   _lowerCAmelCase					):



							"""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"""



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

							__lowercase       	='./local/path'
							__lowercase       	=extract_path_from_uri(_lowerCAmelCase					)
							assert dataset_path == new_dataset_path



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	=is_remote_filesystem(_lowerCAmelCase					)
							assert is_remote is True

							__lowercase       	=fsspec.filesystem('file'					)

							__lowercase       	=is_remote_filesystem(_lowerCAmelCase					)
							assert is_remote is False



@pytest.mark.parametrize('compression_fs_class'  ,   _lowerCAmelCase					)
def   _A       (   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase					):



							"""simple docstring"""



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



@pytest.mark.parametrize('protocol'  ,   ['zip', 'gzip']					)
def   _A       (   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase					):



							"""simple docstring"""



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



@pytest.mark.integration
def   _A       (   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase					):



							"""simple docstring"""



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



def   _A       (   ):



							"""simple docstring"""



							__lowercase       	='bz2'

							# Import module
							import datasets.filesystems

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

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








'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCamelCase	 =       {
    """configuration_mask2former""": [
        """MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """Mask2FormerConfig""",
    ],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase	 =       ["""Mask2FormerImageProcessor"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase	 =       [
		    """MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """Mask2FormerForUniversalSegmentation""",
		    """Mask2FormerModel""",
		    """Mask2FormerPreTrainedModel""",
		]

if TYPE_CHECKING:
		from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_maskaformer import MaskaFormerImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_maskaformer import (
				    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MaskaFormerForUniversalSegmentation,
				    MaskaFormerModel,
				    MaskaFormerPreTrainedModel,
				)


else:
		import sys

		lowerCamelCase	 =       _LazyModule(__name__, globals()["""__file__"""], _import_structure)



