

import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class 		SCREAMING_SNAKE_CASE__       (		SCREAMING_SNAKE_CASE__ ):







						"""simple docstring"""




						lowercase	:					Any           =				''
						lowercase	:					Optional[int]           =				(
						    None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
						)
						lowercase	:					Dict           =				None  # compression type in fsspec. ex: "gzip"
						lowercase	:					int           =				None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz

						def __init__(					self			,			__UpperCamelCase = ""			,			__UpperCamelCase = None			,			__UpperCamelCase = None			,			**__UpperCamelCase     )				->						Tuple:




									'''simple docstring'''


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

						@classmethod
						def __lowerCamelCase       (					cls			,			__UpperCamelCase     )				->						List[str]:




									'''simple docstring'''


									return super()._strip_protocol(_lowercase     ).lstrip("/"     )

						def __lowerCamelCase       (					self     )				->						int:




									'''simple docstring'''


									if self.dir_cache is None:
												__UpperCamelCase     :     str										=   {**self.file.fs.info(self.file.path     ), "name": self.uncompressed_name}
												__UpperCamelCase     :     Any										=   {f["name"]: f}

						def __lowerCamelCase       (					self			,			__UpperCamelCase     )				->						Optional[Any]:




									'''simple docstring'''


									return self.file.open().read()




						def __lowerCamelCase       (					self			,			__UpperCamelCase			,			__UpperCamelCase = "rb"			,			__UpperCamelCase=None			,			__UpperCamelCase=True			,			__UpperCamelCase=None			,			**__UpperCamelCase			,			)				->						Union[str, Any]:




									'''simple docstring'''


									__UpperCamelCase     :     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 		SCREAMING_SNAKE_CASE__       (		SCREAMING_SNAKE_CASE__ ):







						"""simple docstring"""




						lowercase	:					List[str]           =				'bz2'
						lowercase	:					Optional[Any]           =				'bz2'
						lowercase	:					Optional[int]           =				'.bz2'







class 		SCREAMING_SNAKE_CASE__       (		SCREAMING_SNAKE_CASE__ ):







						"""simple docstring"""




						lowercase	:					Dict           =				'gzip'
						lowercase	:					Dict           =				'gzip'
						lowercase	:					Union[str, Any]           =				'.gz'







class 		SCREAMING_SNAKE_CASE__       (		SCREAMING_SNAKE_CASE__ ):







						"""simple docstring"""




						lowercase	:					str           =				'lz4'
						lowercase	:					Dict           =				'lz4'
						lowercase	:					str           =				'.lz4'







class 		SCREAMING_SNAKE_CASE__       (		SCREAMING_SNAKE_CASE__ ):







						"""simple docstring"""




						lowercase	:					Any           =				'xz'
						lowercase	:					Optional[int]           =				'xz'
						lowercase	:					List[Any]           =				'.xz'







class 		SCREAMING_SNAKE_CASE__       (		SCREAMING_SNAKE_CASE__ ):







						"""simple docstring"""




						lowercase	:					Optional[int]           =				'zstd'
						lowercase	:					Optional[int]           =				'zstd'
						lowercase	:					Union[str, Any]           =				'.zst'

						def __init__(					self			,			__UpperCamelCase			,			__UpperCamelCase = "rb"			,			__UpperCamelCase = None			,			__UpperCamelCase = None			,			__UpperCamelCase = DEFAULT_BLOCK_SIZE			,			**__UpperCamelCase			,			)				->						List[str]:




									'''simple docstring'''


									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
									__UpperCamelCase     :     Tuple										=   self.file.__enter__
									class 		SCREAMING_SNAKE_CASE__       :







															"""simple docstring"""




															def __init__(					self			,			__UpperCamelCase     )				->						str:




																		'''simple docstring'''


																		__UpperCamelCase     :     Tuple										=   file_

															def __enter__(					self     )				->						Dict:




																		'''simple docstring'''


																		self._file.__enter__()
																		return self

															def __exit__(					self			,			*__UpperCamelCase			,			**__UpperCamelCase     )				->						str:




																		'''simple docstring'''


																		self._file.__exit__(*_lowercase			,			**_lowercase     )

															def __iter__(					self     )				->						Optional[int]:




																		'''simple docstring'''


																		return iter(self._file     )

															def __lowerCamelCase       (					self     )				->						Optional[int]:




																		'''simple docstring'''


																		return next(self._file     )




															def __getattr__(					self			,			__UpperCamelCase     )				->						Dict:




																		'''simple docstring'''


																		return getattr(self._file			,			_lowercase     )

									def fixed_enter(*__UpperCamelCase			,			**__UpperCamelCase     ):
												return WrappedFile(_enter(*_lowercase			,			**_lowercase     )     )

									__UpperCamelCase     :     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]]



