





import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class SCREAMING_SNAKE_CASE_						(		__UpperCAmelCase					):
						__magic_name__:			Any       =       ""
						__magic_name__:			str       =       (
						    None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
						)
						__magic_name__:			str       =       None  # compression type in fsspec. ex: "gzip"
						__magic_name__:			str       =       None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz






						def __init__(      self      :      List[str]		,   _A      :      str = ""		,   _A      :      Optional[str] = None		,   _A      :      Optional[dict] = None		,   **_A      :      List[Any]	)							->    Union[str, Any]:







							"""simple docstring"""


							super().__init__(self		,   **_lowerCamelCase	)
							# always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
							snake_case_		:			Any											=	fsspec.open(
							    _lowerCamelCase		,   mode='rb'		,   protocol=_lowerCamelCase		,   compression=self.compression		,   client_kwargs={
							        'requote_redirect_url': False,  # see https://github.com/huggingface/datasets/pull/5459
							        'trust_env': True,  # Enable reading proxy env variables.
							        **(target_options or {}).pop('client_kwargs'		,   {}	),  # To avoid issues if it was already passed.
							    }		,   **(target_options or {})		,   )
							snake_case_		:			str											=	os.path.basename(self.file.path.split('::'	)[0]	)
							snake_case_		:			Union[str, Any]											=	(
							    self.compressed_name[: self.compressed_name.rindex('.'	)]
							    if '.' in self.compressed_name
							    else self.compressed_name
							)
							snake_case_		:			List[str]											=	None






						@classmethod
						def UpperCAmelCase_				(      cls      :      List[Any]		,   _A      :      Tuple	)							->    List[str]:







							"""simple docstring"""


							return super()._strip_protocol(_lowerCamelCase	).lstrip('/'	)






						def UpperCAmelCase_				(      self      :      Any	)							->    Optional[int]:







							"""simple docstring"""


							if self.dir_cache is None:
								snake_case_		:			str											=	{**self.file.fs.info(self.file.path	), 'name': self.uncompressed_name}
								snake_case_		:			Union[str, Any]											=	{f['name']: f}






						def UpperCAmelCase_				(      self      :      str		,   _A      :      str	)							->    Any:







							"""simple docstring"""


							return self.file.open().read()






						def UpperCAmelCase_				(      self      :      Tuple		,   _A      :      str		,   _A      :      str = "rb"		,   _A      :      Dict=None		,   _A      :      Union[str, Any]=True		,   _A      :      Optional[Any]=None		,   **_A      :      Optional[int]		,   )							->    List[str]:







							"""simple docstring"""


							snake_case_		:			Union[str, Any]											=	self._strip_protocol(_lowerCamelCase	)
							if mode != "rb":
								raise ValueError(F"""Tried to read with mode {mode} on file {self.file.path} opened with mode 'rb'"""	)
							return self.file.open()
class SCREAMING_SNAKE_CASE_						(		__UpperCAmelCase					):
						__magic_name__:			str       =       "bz2"
						__magic_name__:			Dict       =       "bz2"
						__magic_name__:			Any       =       ".bz2"
class SCREAMING_SNAKE_CASE_						(		__UpperCAmelCase					):
						__magic_name__:			List[Any]       =       "gzip"
						__magic_name__:			Any       =       "gzip"
						__magic_name__:			List[Any]       =       ".gz"
class SCREAMING_SNAKE_CASE_						(		__UpperCAmelCase					):
						__magic_name__:			str       =       "lz4"
						__magic_name__:			Any       =       "lz4"
						__magic_name__:			Tuple       =       ".lz4"
class SCREAMING_SNAKE_CASE_						(		__UpperCAmelCase					):
						__magic_name__:			Optional[Any]       =       "xz"
						__magic_name__:			int       =       "xz"
						__magic_name__:			Union[str, Any]       =       ".xz"
class SCREAMING_SNAKE_CASE_						(		__UpperCAmelCase					):
						__magic_name__:			Any       =       "zstd"
						__magic_name__:			Dict       =       "zstd"
						__magic_name__:			Tuple       =       ".zst"






						def __init__(      self      :      Tuple		,   _A      :      str		,   _A      :      str = "rb"		,   _A      :      Optional[str] = None		,   _A      :      Optional[dict] = None		,   _A      :      int = DEFAULT_BLOCK_SIZE		,   **_A      :      int		,   )							->    List[str]:







							"""simple docstring"""


							super().__init__(
							    fo=_lowerCamelCase		,   mode=_lowerCamelCase		,   target_protocol=_lowerCamelCase		,   target_options=_lowerCamelCase		,   block_size=_lowerCamelCase		,   **_lowerCamelCase		,   )
							# We need to wrap the zstd decompressor to avoid this error in fsspec==2021.7.0 and zstandard==0.15.2:
							#
							# File "/Users/user/.virtualenvs/hf-datasets/lib/python3.7/site-packages/fsspec/core.py", line 145, in open
							#     out.close = close
							# AttributeError: 'zstd.ZstdDecompressionReader' object attribute 'close' is read-only
							#
							# see https://github.com/intake/filesystem_spec/issues/725
							snake_case_		:			List[Any]											=	self.file.__enter__
							class SCREAMING_SNAKE_CASE_						:






													def __init__(      self      :      str		,   _A      :      List[Any]	)							->    List[str]:







														"""simple docstring"""


														snake_case_		:			int											=	file_






													def __enter__(      self      :      Tuple	)							->    int:







														"""simple docstring"""


														self._file.__enter__()
														return self






													def __exit__(      self      :      int		,   *_A      :      Tuple		,   **_A      :      int	)							->    Optional[Any]:







														"""simple docstring"""


														self._file.__exit__(*_lowerCamelCase		,   **_lowerCamelCase	)






													def __iter__(      self      :      Optional[int]	)							->    str:







														"""simple docstring"""


														return iter(self._file	)






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







														"""simple docstring"""


														return next(self._file	)






													def __getattr__(      self      :      Union[str, Any]		,   _A      :      Optional[Any]	)							->    Optional[Any]:







														"""simple docstring"""


														return getattr(self._file		,   _lowerCamelCase	)

							def fixed_enter(*_A      :      Dict		,   **_A      :      Any	):
								return WrappedFile(_enter(*_lowerCamelCase		,   **_lowerCamelCase	)	)

							snake_case_		:			Optional[Any]											=	fixed_enter








from typing import TYPE_CHECKING

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


_SCREAMING_SNAKE_CASE      	=		{"""configuration_swin""": ["""SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SwinConfig""", """SwinOnnxConfig"""]}


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_SCREAMING_SNAKE_CASE      	=		[
						    """SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """SwinForImageClassification""",
						    """SwinForMaskedImageModeling""",
						    """SwinModel""",
						    """SwinPreTrainedModel""",
						    """SwinBackbone""",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_SCREAMING_SNAKE_CASE      	=		[
						    """TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """TFSwinForImageClassification""",
						    """TFSwinForMaskedImageModeling""",
						    """TFSwinModel""",
						    """TFSwinPreTrainedModel""",
						]

if TYPE_CHECKING:
						from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_swin import (
												    SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    SwinBackbone,
												    SwinForImageClassification,
												    SwinForMaskedImageModeling,
												    SwinModel,
												    SwinPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_swin import (
												    TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFSwinForImageClassification,
												    TFSwinForMaskedImageModeling,
												    TFSwinModel,
												    TFSwinPreTrainedModel,
												)

else:
						import sys

						_SCREAMING_SNAKE_CASE      	=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

