




"""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__ (				snake_case__				)						->					Optional[Any]:
			assert "mock" in _fsspec_registry
			assert "bz2" in _fsspec_registry



def     a__ (				)						->					List[str]:
			assert "mock" not in _fsspec_registry
			assert "bz2" in _fsspec_registry



def     a__ (				)						->					Dict:
			lowerCamelCase			      =					"""mock-s3-bucket"""
			lowerCamelCase			      =					F's3://{mock_bucket}'
			lowerCamelCase			      =					extract_path_from_uri(SCREAMING_SNAKE_CASE__				)
			assert dataset_path.startswith("""s3://"""				) is False

			lowerCamelCase			      =					"""./local/path"""
			lowerCamelCase			      =					extract_path_from_uri(SCREAMING_SNAKE_CASE__				)
			assert dataset_path == new_dataset_path



def     a__ (				snake_case__				)						->					int:
			lowerCamelCase			      =					is_remote_filesystem(SCREAMING_SNAKE_CASE__				)
			assert is_remote is True

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

			lowerCamelCase			      =					is_remote_filesystem(SCREAMING_SNAKE_CASE__				)
			assert is_remote is False



@pytest.mark.parametrize("""compression_fs_class"""       , SCREAMING_SNAKE_CASE__				)
def     a__ (				snake_case__       , snake_case__       , snake_case__       , snake_case__       , snake_case__       , snake_case__       , snake_case__				)						->					Optional[int]:
			lowerCamelCase			      =					{"""gzip""": gz_file, """xz""": xz_file, """zstd""": zstd_file, """bz2""": bza_file, """lz4""": lza_file}
			lowerCamelCase			      =					input_paths[compression_fs_class.protocol]
			if input_path is None:
						lowerCamelCase			      =					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__				)
			lowerCamelCase			      =					fsspec.filesystem(compression_fs_class.protocol       , fo=SCREAMING_SNAKE_CASE__				)
			assert isinstance(SCREAMING_SNAKE_CASE__       , SCREAMING_SNAKE_CASE__				)
			lowerCamelCase			      =					os.path.basename(SCREAMING_SNAKE_CASE__				)
			lowerCamelCase			      =					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     a__ (				snake_case__       , snake_case__       , snake_case__				)						->					Optional[int]:
			lowerCamelCase			      =					{"""zip""": zip_jsonl_path, """gzip""": jsonl_gz_path}
			lowerCamelCase			      =					compressed_file_paths[protocol]
			lowerCamelCase			      =					"""dataset.jsonl"""
			lowerCamelCase			      =					F'{protocol}://{member_file_path}::{compressed_file_path}'
			lowerCamelCase      ,   *lowerCamelCase			      =					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     a__ (				snake_case__       , snake_case__       , snake_case__       , snake_case__				)						->					Optional[int]:
			lowerCamelCase			      =					hf_api.dataset_info(SCREAMING_SNAKE_CASE__       , token=SCREAMING_SNAKE_CASE__				)
			lowerCamelCase			      =					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     a__ (				)						->					str:
			lowerCamelCase			      =					"""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 Union

import fire
import torch
from tqdm import tqdm
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	str    ,			SCREAMING_SNAKE_CASE__			:	str = "cpu"    ,			SCREAMING_SNAKE_CASE__			:	Union[str, None] = None      )							->      None:





    '''simple docstring'''






    A__          =   torch.load(SCREAMING_SNAKE_CASE__    ,			map_location=SCREAMING_SNAKE_CASE__      )
    for k, v in tqdm(state_dict.items()      ):
        if not isinstance(SCREAMING_SNAKE_CASE__    ,			torch.Tensor      ):
            raise TypeError('FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin'      )
        A__          =   v.half()
    if save_path is None:  # overwrite src_path
        A__          =   src_path
    torch.save(SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__      )


if __name__ == "__main__":
     fire.Fire(convert)

