
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      (	_lowerCamelCase				:    Union[str, Any])      ->					Any:






							'''simple docstring'''





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




def 			_SCREAMING_SNAKE_CASE      (	)      ->					List[Any]:






							'''simple docstring'''





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




def 			_SCREAMING_SNAKE_CASE      (	)      ->					Optional[int]:






							'''simple docstring'''





							__UpperCamelCase			:     List[str]         =      "mock-s3-bucket"
							__UpperCamelCase			:     Optional[int]         =      F's3://{mock_bucket}'
							__UpperCamelCase			:     List[Any]         =      extract_path_from_uri(_lowerCamelCase)
							assert dataset_path.startswith("s3://") is False

							__UpperCamelCase			:     Optional[int]         =      "./local/path"
							__UpperCamelCase			:     List[str]         =      extract_path_from_uri(_lowerCamelCase)
							assert dataset_path == new_dataset_path




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    List[str])      ->					Optional[Any]:






							'''simple docstring'''





							__UpperCamelCase			:     int         =      is_remote_filesystem(_lowerCamelCase)
							assert is_remote is True

							__UpperCamelCase			:     Tuple         =      fsspec.filesystem("file")

							__UpperCamelCase			:     List[Any]         =      is_remote_filesystem(_lowerCamelCase)
							assert is_remote is False




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






							'''simple docstring'''





							__UpperCamelCase			:     List[str]         =      {"gzip": gz_file, "xz": xz_file, "zstd": zstd_file, "bz2": bza_file, "lz4": lza_file}
							__UpperCamelCase			:     List[str]         =      input_paths[compression_fs_class.protocol]
							if input_path is None:
														__UpperCamelCase			:     List[Any]         =      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)
							__UpperCamelCase			:     Tuple         =      fsspec.filesystem(compression_fs_class.protocol		,						fo=_lowerCamelCase)
							assert isinstance(_lowerCamelCase		,						_lowerCamelCase)
							__UpperCamelCase			:     Tuple         =      os.path.basename(_lowerCamelCase)
							__UpperCamelCase			:     List[Any]         =      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 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    List[str]		,						_lowerCamelCase				:    List[str]		,						_lowerCamelCase				:    Any)      ->					Union[str, Any]:






							'''simple docstring'''





							__UpperCamelCase			:     List[Any]         =      {"zip": zip_jsonl_path, "gzip": jsonl_gz_path}
							__UpperCamelCase			:     Union[str, Any]         =      compressed_file_paths[protocol]
							__UpperCamelCase			:     Tuple         =      "dataset.jsonl"
							__UpperCamelCase			:     Dict         =      F'{protocol}://{member_file_path}::{compressed_file_path}'
							__UpperCamelCase     ,		*__UpperCamelCase			:     str         =      fsspec.get_fs_token_paths(_lowerCamelCase)
							assert fs.isfile(_lowerCamelCase)
							assert not fs.isfile("non_existing_" + member_file_path)




@pytest.mark.integration
def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    str		,						_lowerCamelCase				:    List[str]		,						_lowerCamelCase				:    Dict		,						_lowerCamelCase				:    str)      ->					Dict:






							'''simple docstring'''





							__UpperCamelCase			:     int         =      hf_api.dataset_info(_lowerCamelCase		,						token=_lowerCamelCase)
							__UpperCamelCase			:     List[str]         =      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 			_SCREAMING_SNAKE_CASE      (	)      ->					Dict:






							'''simple docstring'''





							__UpperCamelCase			:     int         =      "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.'
							)

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowercase						:      str									= {
    'configuration_vision_encoder_decoder': ['VisionEncoderDecoderConfig', 'VisionEncoderDecoderOnnxConfig']
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      str									= ['VisionEncoderDecoderModel']

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      List[Any]									= ['TFVisionEncoderDecoderModel']

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      int									= ['FlaxVisionEncoderDecoderModel']

if TYPE_CHECKING:
		from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
		import sys

		lowercase						:      Dict									= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)