






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 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Tuple    )						->      Optional[int]:





    """simple docstring"""

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



def 			_SCREAMING_SNAKE_CASE						( )						->      Union[str, Any]:





    """simple docstring"""

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



def 			_SCREAMING_SNAKE_CASE						( )						->      int:





    """simple docstring"""

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

    __A         =	"""./local/path"""
    __A         =	extract_path_from_uri(__lowercase    )
    assert dataset_path == new_dataset_path



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[Any]    )						->      int:





    """simple docstring"""

    __A         =	is_remote_filesystem(__lowercase    )
    assert is_remote is True

    __A         =	fsspec.filesystem("""file"""    )

    __A         =	is_remote_filesystem(__lowercase    )
    assert is_remote is False



@pytest.mark.parametrize("""compression_fs_class"""			,				__lowercase    )
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Tuple			,				__lowercase   :			Optional[int]			,				__lowercase   :			Optional[Any]			,				__lowercase   :			int			,				__lowercase   :			Union[str, Any]			,				__lowercase   :			Union[str, Any]			,				__lowercase   :			List[str]    )						->      Union[str, Any]:





    """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(__lowercase    )
    __A         =	fsspec.filesystem(compression_fs_class.protocol			,				fo=__lowercase    )
    assert isinstance(__lowercase			,				__lowercase    )
    __A         =	os.path.basename(__lowercase    )
    __A         =	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 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]			,				__lowercase   :			Optional[int]			,				__lowercase   :			Tuple    )						->      Union[str, Any]:





    """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(__lowercase    )
    assert fs.isfile(__lowercase    )
    assert not fs.isfile("""non_existing_""" + member_file_path    )



@pytest.mark.integration
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[Any]			,				__lowercase   :			Dict			,				__lowercase   :			Tuple			,				__lowercase   :			Union[str, Any]    )						->      Union[str, Any]:





    """simple docstring"""

    __A         =	hf_api.dataset_info(__lowercase			,				token=__lowercase    )
    __A         =	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 			_SCREAMING_SNAKE_CASE						( )						->      List[str]:





    """simple docstring"""

    __A         =	"""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."
    )












import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import is_accelerate_available, is_torch_available, is_transformers_available, is_xformers_available
from . import BaseDiffusersCLICommand



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Any    )						->      Optional[int]:





    """simple docstring"""

    return EnvironmentCommand()






class       __lowercase      (	lowercase_  ):







     '''simple docstring'''




     @staticmethod
     def 		lowerCAmelCase_     (				UpperCamelCase_       :			ArgumentParser				):


         """simple docstring"""



         __A         =	parser.add_parser("""env"""				)
         download_parser.set_defaults(func=UpperCamelCase_				)




     def 		lowerCAmelCase_     (				self       :			Any				):


         """simple docstring"""



         __A         =	huggingface_hub.__version__

         __A         =	"""not installed"""
         __A         =	"""NA"""
         if is_torch_available():
             import torch

             __A         =	torch.__version__
             __A         =	torch.cuda.is_available()

         __A         =	"""not installed"""
         if is_transformers_available():
             import transformers

             __A         =	transformers.__version__

         __A         =	"""not installed"""
         if is_accelerate_available():
             import accelerate

             __A         =	accelerate.__version__

         __A         =	"""not installed"""
         if is_xformers_available():
             import xformers

             __A         =	xformers.__version__

         __A         =	{
             """`diffusers` version""": version,
             """Platform""": platform.platform(),
             """Python version""": platform.python_version(),
             """PyTorch version (GPU?)""": F"{pt_version} ({pt_cuda_available})",
             """Huggingface_hub version""": hub_version,
             """Transformers version""": transformers_version,
             """Accelerate version""": accelerate_version,
             """xFormers version""": xformers_version,
             """Using GPU in script?""": """<fill in>""",
             """Using distributed or parallel set-up in script?""": """<fill in>""",
         }

         print("""\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n"""				)
         print(self.format_dict(UpperCamelCase_				)				)

         return info





     @staticmethod
     def 		lowerCAmelCase_     (				UpperCamelCase_       :			str				):


         """simple docstring"""



         return "\n".join([F"- {prop}: {val}" for prop, val in d.items()]				) + "\n"




