





import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


lowerCAmelCase							:       Optional[Any]					 =	importlib.util.find_spec("""s3fs""") is not None

if _has_safs:
							from .safilesystem import SaFileSystem  # noqa: F401

lowerCAmelCase							:       List[compression.BaseCompressedFileFileSystem]					 =	[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
							if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
														warnings.warn(f'''A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.''')
							fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)






def 		lowerCAmelCase  (	UpperCamelCase__   :   str					)      ->    str:

						"""simple docstring"""





						if "://" in dataset_path:
												__SCREAMING_SNAKE_CASE:				Optional[Any]           =   dataset_path.split('''://'''					)[1]
						return dataset_path






def 		lowerCAmelCase  (	UpperCamelCase__   :   fsspec.AbstractFileSystem					)      ->    bool:

						"""simple docstring"""





						if fs is not None and fs.protocol != "file":
												return True
						else:
												return False






def 		lowerCAmelCase  (	UpperCamelCase__   :   fsspec.AbstractFileSystem       ,			UpperCamelCase__   :   str       ,			UpperCamelCase__   :   str					)      ->    Dict:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				List[str]           =   not is_remote_filesystem(UpperCamelCase__					)
						if is_local:
												# LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
												shutil.move(fs._strip_protocol(UpperCamelCase__					)       ,			fs._strip_protocol(UpperCamelCase__					)					)
						else:
												fs.mv(UpperCamelCase__       ,			UpperCamelCase__       ,			recursive=UpperCamelCase__					)






def 		lowerCAmelCase  (	)      ->    None:

						"""simple docstring"""





						if hasattr(fsspec.asyn       ,			'''reset_lock'''					):
												# for future fsspec>2022.05.0
												fsspec.asyn.reset_lock()
						else:
												__SCREAMING_SNAKE_CASE:				Dict           =   None
												__SCREAMING_SNAKE_CASE:				Dict           =   None
												__SCREAMING_SNAKE_CASE:				List[Any]           =   threading.Lock()










from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream





class 				a			(      __lowercase			):






				def __init__(  self			, _lowerCAmelCase			, _lowerCAmelCase = None			, _lowerCAmelCase = None			, _lowerCAmelCase = False			, _lowerCAmelCase = False			, _lowerCAmelCase = None			, _lowerCAmelCase = None			, **_lowerCAmelCase			, ):

										"""simple docstring"""




										super().__init__(
										    features=_lowerCAmelCase			, cache_dir=_lowerCAmelCase			, keep_in_memory=_lowerCAmelCase			, streaming=_lowerCAmelCase			, num_proc=_lowerCAmelCase			, **_lowerCAmelCase			, )
										__SCREAMING_SNAKE_CASE:				Any           =   Generator(
										    cache_dir=_lowerCAmelCase			, features=_lowerCAmelCase			, generator=_lowerCAmelCase			, gen_kwargs=_lowerCAmelCase			, **_lowerCAmelCase			, )






				def 			snake_case_    (  self					):

										"""simple docstring"""




										if self.streaming:
																__SCREAMING_SNAKE_CASE:				List[str]           =   self.builder.as_streaming_dataset(split='''train'''					)
										# Build regular (map-style) dataset
										else:
																__SCREAMING_SNAKE_CASE:				str           =   None
																__SCREAMING_SNAKE_CASE:				List[Any]           =   None
																__SCREAMING_SNAKE_CASE:				Tuple           =   None
																__SCREAMING_SNAKE_CASE:				Optional[Any]           =   None

																self.builder.download_and_prepare(
																    download_config=_lowerCAmelCase			, download_mode=_lowerCAmelCase			, verification_mode=_lowerCAmelCase			, base_path=_lowerCAmelCase			, num_proc=self.num_proc			, )
																__SCREAMING_SNAKE_CASE:				List[str]           =   self.builder.as_dataset(
																    split='''train'''			, verification_mode=_lowerCAmelCase			, in_memory=self.keep_in_memory					)
										return dataset



