





"""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    _SCREAMING_SNAKE_CASE	(			_lowercase		:					Optional[Any]      )				->Tuple:






	'''simple docstring'''






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






def    _SCREAMING_SNAKE_CASE	(			)				->Optional[Any]:






	'''simple docstring'''






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






def    _SCREAMING_SNAKE_CASE	(			)				->List[str]:






	'''simple docstring'''






	a   :	int			=       'mock-s3-bucket'
	a   :	str			=       F"""s3://{mock_bucket}"""
	a   :	Any			=       extract_path_from_uri(lowerCAmelCase__      )
	assert dataset_path.startswith("s3://"      ) is False

	a   :	List[Any]			=       './local/path'
	a   :	str			=       extract_path_from_uri(lowerCAmelCase__      )
	assert dataset_path == new_dataset_path






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					Optional[int]      )				->Dict:






	'''simple docstring'''






	a   :	int			=       is_remote_filesystem(lowerCAmelCase__      )
	assert is_remote is True

	a   :	Union[str, Any]			=       fsspec.filesystem("file"      )

	a   :	List[str]			=       is_remote_filesystem(lowerCAmelCase__      )
	assert is_remote is False






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






	'''simple docstring'''






	a   :	List[str]			=       {'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_file, 'bz2': bza_file, 'lz4': lza_file}
	a   :	int			=       input_paths[compression_fs_class.protocol]
	if input_path is None:
		a   :	int			=       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__      )
	a   :	List[Any]			=       fsspec.filesystem(compression_fs_class.protocol					, fo=lowerCAmelCase__      )
	assert isinstance(lowerCAmelCase__					, lowerCAmelCase__      )
	a   :	Tuple			=       os.path.basename(lowerCAmelCase__      )
	a   :	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	(			_lowercase		:					Optional[int]					, _lowercase		:					List[Any]					, _lowercase		:					int      )				->List[Any]:






	'''simple docstring'''






	a   :	Dict			=       {'zip': zip_jsonl_path, 'gzip': jsonl_gz_path}
	a   :	int			=       compressed_file_paths[protocol]
	a   :	List[Any]			=       'dataset.jsonl'
	a   :	Any			=       F"""{protocol}://{member_file_path}::{compressed_file_path}"""
	a   :	List[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	(			_lowercase		:					List[Any]					, _lowercase		:					Union[str, Any]					, _lowercase		:					Optional[Any]					, _lowercase		:					Tuple      )				->Union[str, Any]:






	'''simple docstring'''






	a   :	Tuple			=       hf_api.dataset_info(lowerCAmelCase__					, token=lowerCAmelCase__      )
	a   :	Union[str, Any]			=       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	(			)				->Any:






	'''simple docstring'''






	a   :	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."""
	)









"""simple docstring"""




import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible


class  __UpperCamelCase       (		unittest.TestCase		):






							def 					__a     (     self   )			->				Optional[Any]:
								a   :	Optional[int]			=       [
								    "safety_checker/pytorch_model.bin",
								    "safety_checker/model.safetensors",
								    "vae/diffusion_pytorch_model.bin",
								    "vae/diffusion_pytorch_model.safetensors",
								    "text_encoder/pytorch_model.bin",
								    "text_encoder/model.safetensors",
								    "unet/diffusion_pytorch_model.bin",
								    "unet/diffusion_pytorch_model.safetensors",
								]
								self.assertTrue(is_safetensors_compatible(lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				Optional[Any]:
								a   :	str			=       [
								    "unet/diffusion_pytorch_model.bin",
								    "unet/diffusion_pytorch_model.safetensors",
								]
								self.assertTrue(is_safetensors_compatible(lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				Dict:
								a   :	List[str]			=       [
								    "safety_checker/pytorch_model.bin",
								    "safety_checker/model.safetensors",
								    "vae/diffusion_pytorch_model.bin",
								    "vae/diffusion_pytorch_model.safetensors",
								    "text_encoder/pytorch_model.bin",
								    "text_encoder/model.safetensors",
								    "unet/diffusion_pytorch_model.bin",
								    # Removed: 'unet/diffusion_pytorch_model.safetensors',
								]
								self.assertFalse(is_safetensors_compatible(lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				List[Any]:
								a   :	Optional[Any]			=       [
								    "text_encoder/pytorch_model.bin",
								    "text_encoder/model.safetensors",
								]
								self.assertTrue(is_safetensors_compatible(lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				Tuple:
								a   :	Tuple			=       [
								    "safety_checker/pytorch_model.bin",
								    "safety_checker/model.safetensors",
								    "vae/diffusion_pytorch_model.bin",
								    "vae/diffusion_pytorch_model.safetensors",
								    "text_encoder/pytorch_model.bin",
								    # Removed: 'text_encoder/model.safetensors',
								    "unet/diffusion_pytorch_model.bin",
								    "unet/diffusion_pytorch_model.safetensors",
								]
								self.assertFalse(is_safetensors_compatible(lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				Dict:
								a   :	Dict			=       [
								    "safety_checker/pytorch_model.fp16.bin",
								    "safety_checker/model.fp16.safetensors",
								    "vae/diffusion_pytorch_model.fp16.bin",
								    "vae/diffusion_pytorch_model.fp16.safetensors",
								    "text_encoder/pytorch_model.fp16.bin",
								    "text_encoder/model.fp16.safetensors",
								    "unet/diffusion_pytorch_model.fp16.bin",
								    "unet/diffusion_pytorch_model.fp16.safetensors",
								]
								a   :	Dict			=       "fp16"
								self.assertTrue(is_safetensors_compatible(lowerCAmelCase__   ,      variant=lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				List[str]:
								a   :	List[Any]			=       [
								    "unet/diffusion_pytorch_model.fp16.bin",
								    "unet/diffusion_pytorch_model.fp16.safetensors",
								]
								a   :	Any			=       "fp16"
								self.assertTrue(is_safetensors_compatible(lowerCAmelCase__   ,      variant=lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				int:
								# pass variant but use the non-variant filenames
								a   :	int			=       [
								    "unet/diffusion_pytorch_model.bin",
								    "unet/diffusion_pytorch_model.safetensors",
								]
								a   :	Tuple			=       "fp16"
								self.assertTrue(is_safetensors_compatible(lowerCAmelCase__   ,      variant=lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				str:
								a   :	str			=       [
								    "safety_checker/pytorch_model.fp16.bin",
								    "safety_checker/model.fp16.safetensors",
								    "vae/diffusion_pytorch_model.fp16.bin",
								    "vae/diffusion_pytorch_model.fp16.safetensors",
								    "text_encoder/pytorch_model.fp16.bin",
								    "text_encoder/model.fp16.safetensors",
								    "unet/diffusion_pytorch_model.fp16.bin",
								    # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
								]
								a   :	Any			=       "fp16"
								self.assertFalse(is_safetensors_compatible(lowerCAmelCase__   ,      variant=lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				str:
								a   :	Union[str, Any]			=       [
								    "text_encoder/pytorch_model.fp16.bin",
								    "text_encoder/model.fp16.safetensors",
								]
								a   :	str			=       "fp16"
								self.assertTrue(is_safetensors_compatible(lowerCAmelCase__   ,      variant=lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				List[str]:
								# pass variant but use the non-variant filenames
								a   :	Optional[int]			=       [
								    "text_encoder/pytorch_model.bin",
								    "text_encoder/model.safetensors",
								]
								a   :	str			=       "fp16"
								self.assertTrue(is_safetensors_compatible(lowerCAmelCase__   ,      variant=lowerCAmelCase__   )   )






							def 					__a     (     self   )			->				Optional[Any]:
								a   :	Any			=       [
								    "safety_checker/pytorch_model.fp16.bin",
								    "safety_checker/model.fp16.safetensors",
								    "vae/diffusion_pytorch_model.fp16.bin",
								    "vae/diffusion_pytorch_model.fp16.safetensors",
								    "text_encoder/pytorch_model.fp16.bin",
								    # 'text_encoder/model.fp16.safetensors',
								    "unet/diffusion_pytorch_model.fp16.bin",
								    "unet/diffusion_pytorch_model.fp16.safetensors",
								]
								a   :	Optional[int]			=       "fp16"
								self.assertFalse(is_safetensors_compatible(lowerCAmelCase__   ,      variant=lowerCAmelCase__   )   )


