



"""simple docstring"""







import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE

class       _a  ( SCREAMING_SNAKE_CASE__):
			__magic_name__     					=     """"""
			__magic_name__     					=     (
			    None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
			)
			__magic_name__     					=     None  # compression type in fsspec. ex: "gzip"
			__magic_name__     					=     None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz



			def __init__(			self							:				List[Any]   ,	_lowercase							:				str = ""   ,	_lowercase							:				Optional[str] = None   ,	_lowercase							:				Optional[dict] = None   ,	**_lowercase							:				str		)							->					Tuple:
									super().__init__(self   ,	**_lowercase		)
									# always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
									snake_case   :			Optional[int]						    = fsspec.open(
									    _lowercase   ,	mode="rb"   ,	protocol=_lowercase   ,	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   :			Dict						    = os.path.basename(self.file.path.split("::"		)[0]		)
									snake_case   :			List[str]						    = (
									    self.compressed_name[: self.compressed_name.rindex("."		)]
									    if "." in self.compressed_name
									    else self.compressed_name
									)
									snake_case   :			Union[str, Any]						    = None



			@classmethod
			def 				__lowercase					(			cls							:				Union[str, Any]   ,	_lowercase							:				Union[str, Any]		)							->					List[str]:
									# compressed file paths are always relative to the archive root
									return super()._strip_protocol(_lowercase		).lstrip("/"		)



			def 				__lowercase					(			self							:				Any		)							->					int:
									if self.dir_cache is None:
															snake_case   :			str						    = {**self.file.fs.info(self.file.path		), "name": self.uncompressed_name}
															snake_case   :			Any						    = {f["name"]: f}



			def 				__lowercase					(			self							:				Union[str, Any]   ,	_lowercase							:				str		)							->					Optional[Any]:
									return self.file.open().read()



			def 				__lowercase					(			self							:				Tuple   ,	_lowercase							:				str   ,	_lowercase							:				str = "rb"   ,	_lowercase							:				Union[str, Any]=None   ,	_lowercase							:				Any=True   ,	_lowercase							:				Optional[int]=None   ,	**_lowercase							:				Union[str, Any]   ,	)							->					Union[str, Any]:
									snake_case   :			Any						    = self._strip_protocol(_lowercase		)
									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       _a  ( SCREAMING_SNAKE_CASE__):
			__magic_name__     					=     """bz2"""
			__magic_name__     					=     """bz2"""
			__magic_name__     					=     """.bz2"""



class       _a  ( SCREAMING_SNAKE_CASE__):
			__magic_name__     					=     """gzip"""
			__magic_name__     					=     """gzip"""
			__magic_name__     					=     """.gz"""



class       _a  ( SCREAMING_SNAKE_CASE__):
			__magic_name__     					=     """lz4"""
			__magic_name__     					=     """lz4"""
			__magic_name__     					=     """.lz4"""



class       _a  ( SCREAMING_SNAKE_CASE__):
			__magic_name__     					=     """xz"""
			__magic_name__     					=     """xz"""
			__magic_name__     					=     """.xz"""



class       _a  ( SCREAMING_SNAKE_CASE__):
			__magic_name__     					=     """zstd"""
			__magic_name__     					=     """zstd"""
			__magic_name__     					=     """.zst"""



			def __init__(			self							:				Union[str, Any]   ,	_lowercase							:				str   ,	_lowercase							:				str = "rb"   ,	_lowercase							:				Optional[str] = None   ,	_lowercase							:				Optional[dict] = None   ,	_lowercase							:				int = DEFAULT_BLOCK_SIZE   ,	**_lowercase							:				Any   ,	)							->					List[str]:
									super().__init__(
									    fo=_lowercase   ,	mode=_lowercase   ,	target_protocol=_lowercase   ,	target_options=_lowercase   ,	block_size=_lowercase   ,	**_lowercase   ,	)
									# 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   :			Tuple						    = self.file.__enter__

									class       _a  :



												def __init__(			self							:				List[Any]   ,	_lowercase							:				Tuple		)							->					str:
																		snake_case   :			Tuple						    = file_



												def __enter__(			self							:				str		)							->					Dict:
																		self._file.__enter__()
																		return self



												def __exit__(			self							:				List[Any]   ,	*_lowercase							:				List[Any]   ,	**_lowercase							:				Tuple		)							->					str:
																		self._file.__exit__(*_lowercase   ,	**_lowercase		)



												def __iter__(			self							:				Optional[Any]		)							->					Optional[int]:
																		return iter(self._file		)



												def 				__lowercase					(			self							:				str		)							->					Optional[int]:
																		return next(self._file		)



												def __getattr__(			self							:				Optional[Any]   ,	_lowercase							:				Optional[int]		)							->					Dict:
																		return getattr(self._file   ,	_lowercase		)

									def fixed_enter(*_lowercase							:				Optional[int]   ,	**_lowercase							:				Optional[Any]		):
															return WrappedFile(_enter(*_lowercase   ,	**_lowercase		)		)

									snake_case   :			Optional[Any]						    = fixed_enter








"""simple docstring"""







import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil

@pytest.fixture
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							Optional[Any] ):
						"""simple docstring"""






						snake_case   :			str						    = tmp_path / "file.csv"
						snake_case   :			Tuple						    = textwrap.dedent(
						    "\\n        header1,header2\n        1,2\n        10,20\n        " )
						with open(lowerCamelCase_     ,		"w" ) as f:
												f.write(lowerCamelCase_ )
						return str(lowerCamelCase_ )

@pytest.fixture
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							List[str] ):
						"""simple docstring"""






						snake_case   :			List[Any]						    = tmp_path / "malformed_file.csv"
						snake_case   :			Union[str, Any]						    = textwrap.dedent(
						    "\\n        header1,header2\n        1,2\n        10,20,\n        " )
						with open(lowerCamelCase_     ,		"w" ) as f:
												f.write(lowerCamelCase_ )
						return str(lowerCamelCase_ )

@pytest.fixture
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							int     ,		lowerCamelCase_:							Optional[Any] ):
						"""simple docstring"""






						snake_case   :			Dict						    = tmp_path / "csv_with_image.csv"
						snake_case   :			List[Any]						    = textwrap.dedent(
						    f'''\
        image
        {image_file}
        ''' )
						with open(lowerCamelCase_     ,		"w" ) as f:
												f.write(lowerCamelCase_ )
						return str(lowerCamelCase_ )

@pytest.fixture
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							List[str] ):
						"""simple docstring"""






						snake_case   :			Optional[Any]						    = tmp_path / "csv_with_label.csv"
						snake_case   :			Tuple						    = textwrap.dedent(
						    "\\n        label\n        good\n        bad\n        good\n        " )
						with open(lowerCamelCase_     ,		"w" ) as f:
												f.write(lowerCamelCase_ )
						return str(lowerCamelCase_ )

@pytest.fixture
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							List[Any] ):
						"""simple docstring"""






						snake_case   :			Union[str, Any]						    = tmp_path / "csv_with_int_list.csv"
						snake_case   :			Optional[int]						    = textwrap.dedent(
						    "\\n        int_list\n        1 2 3\n        4 5 6\n        7 8 9\n        " )
						with open(lowerCamelCase_     ,		"w" ) as f:
												f.write(lowerCamelCase_ )
						return str(lowerCamelCase_ )

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							List[str]     ,		lowerCamelCase_:							Any     ,		lowerCamelCase_:							List[str] ):
						"""simple docstring"""






						snake_case   :			Tuple						    = Csv()
						snake_case   :			str						    = csv._generate_tables([[csv_file, malformed_csv_file]] )
						with pytest.raises(lowerCamelCase_     ,		match="Error tokenizing data" ):
												for _ in generator:
																		pass
						assert any(
						    record.levelname == "ERROR"
						    and "Failed to read file" in record.message
						    and os.path.basename(lowerCamelCase_ ) in record.message
						    for record in caplog.records )

@require_pil
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							str ):
						"""simple docstring"""






						with open(lowerCamelCase_     ,		encoding="utf-8" ) as f:
												snake_case   :			List[Any]						    = f.read().splitlines()[1]
						snake_case   :			List[str]						    = Csv(encoding="utf-8"     ,		features=Features({"image": Image()} ) )
						snake_case   :			Optional[int]						    = csv._generate_tables([[csv_file_with_image]] )
						snake_case   :			List[Any]						    = pa.concat_tables([table for _, table in generator] )
						assert pa_table.schema.field("image" ).type == Image()()
						snake_case   :			str						    = pa_table.to_pydict()["image"]
						assert generated_content == [{"path": image_file, "bytes": None}]

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							int ):
						"""simple docstring"""






						with open(lowerCamelCase_     ,		encoding="utf-8" ) as f:
												snake_case   :			Optional[Any]						    = f.read().splitlines()[1:]
						snake_case   :			List[str]						    = Csv(encoding="utf-8"     ,		features=Features({"label": ClassLabel(names=["good", "bad"] )} ) )
						snake_case   :			int						    = csv._generate_tables([[csv_file_with_label]] )
						snake_case   :			Dict						    = pa.concat_tables([table for _, table in generator] )
						assert pa_table.schema.field("label" ).type == ClassLabel(names=["good", "bad"] )()
						snake_case   :			Dict						    = pa_table.to_pydict()["label"]
						assert generated_content == [ClassLabel(names=["good", "bad"] ).straint(lowerCamelCase_ ) for label in labels]

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							Union[str, Any] ):
						"""simple docstring"""






						snake_case   :			List[Any]						    = Csv(encoding="utf-8"     ,		sep=","     ,		converters={"int_list": lambda lowerCamelCase_ : [int(lowerCamelCase_ ) for i in x.split()]} )
						snake_case   :			Tuple						    = csv._generate_tables([[csv_file_with_int_list]] )
						snake_case   :			str						    = pa.concat_tables([table for _, table in generator] )
						assert pa.types.is_list(pa_table.schema.field("int_list" ).type )
						snake_case   :			Any						    = pa_table.to_pydict()["int_list"]
						assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]



