




"""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        UpperCAmelCase__	(lowerCAmelCase_       ):




					'''simple docstring'''


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




def        UpperCAmelCase__	():




					'''simple docstring'''


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




def        UpperCAmelCase__	():




					'''simple docstring'''


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

					__SCREAMING_SNAKE_CASE						       =    './local/path'
					__SCREAMING_SNAKE_CASE						       =    extract_path_from_uri(lowerCAmelCase_       )
					assert dataset_path == new_dataset_path




def        UpperCAmelCase__	(lowerCAmelCase_       ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    is_remote_filesystem(lowerCAmelCase_       )
					assert is_remote is True

					__SCREAMING_SNAKE_CASE						       =    fsspec.filesystem("file"       )

					__SCREAMING_SNAKE_CASE						       =    is_remote_filesystem(lowerCAmelCase_       )
					assert is_remote is False




@pytest.mark.parametrize("compression_fs_class"  ,						lowerCAmelCase_       )
def        UpperCAmelCase__	(lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_       ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    {'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_file, 'bz2': bza_file, 'lz4': lza_file}
					__SCREAMING_SNAKE_CASE						       =    input_paths[compression_fs_class.protocol]
					if input_path is None:
										__SCREAMING_SNAKE_CASE						       =    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_       )
					__SCREAMING_SNAKE_CASE						       =    fsspec.filesystem(compression_fs_class.protocol  ,						fo=lowerCAmelCase_       )
					assert isinstance(lowerCAmelCase_  ,						lowerCAmelCase_       )
					__SCREAMING_SNAKE_CASE						       =    os.path.basename(lowerCAmelCase_       )
					__SCREAMING_SNAKE_CASE						       =    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        UpperCAmelCase__	(lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_       ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    {'zip': zip_jsonl_path, 'gzip': jsonl_gz_path}
					__SCREAMING_SNAKE_CASE						       =    compressed_file_paths[protocol]
					__SCREAMING_SNAKE_CASE						       =    'dataset.jsonl'
					__SCREAMING_SNAKE_CASE						       =    f"""{protocol}://{member_file_path}::{compressed_file_path}"""
					__SCREAMING_SNAKE_CASE						       =    fsspec.get_fs_token_paths(lowerCAmelCase_       )
					assert fs.isfile(lowerCAmelCase_       )
					assert not fs.isfile("non_existing_" + member_file_path       )




@pytest.mark.integration
def        UpperCAmelCase__	(lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_       ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    hf_api.dataset_info(lowerCAmelCase_  ,						token=lowerCAmelCase_       )
					__SCREAMING_SNAKE_CASE						       =    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        UpperCAmelCase__	():




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    '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_tokenizers_available, is_torch_available


a__    :							List[str]            =					{
    '''configuration_biogpt''': ['''BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BioGptConfig'''],
    '''tokenization_biogpt''': ['''BioGptTokenizer'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a__    :							Union[str, Any]            =					[
		    '''BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''BioGptForCausalLM''',
		    '''BioGptForTokenClassification''',
		    '''BioGptForSequenceClassification''',
		    '''BioGptModel''',
		    '''BioGptPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
		from .tokenization_biogpt import BioGptTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_biogpt import (
				    BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BioGptForCausalLM,
				    BioGptForSequenceClassification,
				    BioGptForTokenClassification,
				    BioGptModel,
				    BioGptPreTrainedModel,
				)


else:
		import sys

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