



'''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   __lowerCAmelCase					(							lowerCamelCase   :						Optional[int]					):






	'''simple docstring'''




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



def   __lowerCAmelCase					(							):






	'''simple docstring'''




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



def   __lowerCAmelCase					(							):






	'''simple docstring'''




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

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



def   __lowerCAmelCase					(							lowerCamelCase   :						Optional[int]					):






	'''simple docstring'''




	__lowerCAmelCase												=  is_remote_filesystem(lowerCamelCase					)
	assert is_remote is True

	__lowerCAmelCase												=  fsspec.filesystem("file"					)

	__lowerCAmelCase												=  is_remote_filesystem(lowerCamelCase					)
	assert is_remote is False



@pytest.mark.parametrize("compression_fs_class"				,		lowerCamelCase					)
def   __lowerCAmelCase					(							lowerCamelCase   :						str				,		lowerCamelCase   :						List[Any]				,		lowerCamelCase   :						Union[str, Any]				,		lowerCamelCase   :						List[str]				,		lowerCamelCase   :						List[str]				,		lowerCamelCase   :						Optional[int]				,		lowerCamelCase   :						Union[str, Any]					):






	'''simple docstring'''




	__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(lowerCamelCase					)
	__lowerCAmelCase												=  fsspec.filesystem(compression_fs_class.protocol				,		fo=lowerCamelCase					)
	assert isinstance(lowerCamelCase				,		lowerCamelCase					)
	__lowerCAmelCase												=  os.path.basename(lowerCamelCase					)
	__lowerCAmelCase												=  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   __lowerCAmelCase					(							lowerCamelCase   :						List[Any]				,		lowerCamelCase   :						List[Any]				,		lowerCamelCase   :						Union[str, Any]					):






	'''simple docstring'''




	__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(lowerCamelCase					)
	assert fs.isfile(lowerCamelCase					)
	assert not fs.isfile("non_existing_" + member_file_path					)



@pytest.mark.integration
def   __lowerCAmelCase					(							lowerCamelCase   :						List[str]				,		lowerCamelCase   :						Dict				,		lowerCamelCase   :						List[Any]				,		lowerCamelCase   :						Tuple					):






	'''simple docstring'''




	__lowerCAmelCase												=  hf_api.dataset_info(lowerCamelCase				,		token=lowerCamelCase					)
	__lowerCAmelCase												=  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   __lowerCAmelCase					(							):






	'''simple docstring'''




	__lowerCAmelCase												=  "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.'''
	)




'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


lowerCAmelCase	:		Optional[Any]				=   {
    '''configuration_trocr''': ['''TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TrOCRConfig'''],
    '''processing_trocr''': ['''TrOCRProcessor'''],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		List[str]				=   [
	    '''TROCR_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TrOCRForCausalLM''',
	    '''TrOCRPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
	from .processing_trocr import TrOCRProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
	import sys

	lowerCAmelCase	:		Optional[Any]				=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)