
import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


__lowerCamelCase							=       """\\n    Text data.\n    Second line of data."""

__lowerCamelCase							=       """file"""


@pytest.fixture(scope="session"    )
def 			UpperCamelCase					(    __lowerCamelCase     : List[str]    ):
       snake_case       :   Union[str, Any]							=      tmp_path_factory.mktemp("data"    ) / (FILE_PATH + '''.zstd''')
       snake_case       :   Any							=      bytes(__lowerCamelCase				,					"utf-8"    )
       with zstd.open(__lowerCamelCase				,					"wb"    ) as f:
              f.write(__lowerCamelCase    )
       return path


@pytest.fixture
def 			UpperCamelCase					(    __lowerCamelCase     : List[str]    ):
       with open(os.path.join(tmpfs.local_root_dir				,					__lowerCamelCase    )				,					"w"    ) as f:
              f.write(__lowerCamelCase    )
       return FILE_PATH


@pytest.mark.parametrize("compression_format"				,					["gzip", "xz", "zstd"]    )
def 			UpperCamelCase					(    __lowerCamelCase     : int				,					__lowerCamelCase     : List[Any]				,					__lowerCamelCase     : List[Any]				,					__lowerCamelCase     : Any				,					__lowerCamelCase     : List[Any]				,					__lowerCamelCase     : str    ):
       snake_case       :   str							=      {'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
       snake_case       :   str							=      input_paths[compression_format]
       snake_case       :   Tuple							=      tmp_path / '''cache'''
       snake_case       :   Optional[int]							=      DownloadConfig(cache_dir=__lowerCamelCase				,					extract_compressed_file=__lowerCamelCase    )
       snake_case       :   Union[str, Any]							=      cached_path(__lowerCamelCase				,					download_config=__lowerCamelCase    )
       with open(__lowerCamelCase    ) as f:
              snake_case       :   Dict							=      f.read()
       with open(__lowerCamelCase    ) as f:
              snake_case       :   int							=      f.read()
       assert extracted_file_content == expected_file_content


@pytest.mark.parametrize("default_extracted"				,					[True, False]    )
@pytest.mark.parametrize("default_cache_dir"				,					[True, False]    )
def 			UpperCamelCase					(    __lowerCamelCase     : List[str]				,					__lowerCamelCase     : Dict				,					__lowerCamelCase     : Union[str, Any]				,					__lowerCamelCase     : Optional[int]				,					__lowerCamelCase     : Optional[int]    ):
       snake_case       :   Any							=      '''custom_cache'''
       snake_case       :   Tuple							=      '''custom_extracted_dir'''
       snake_case       :   Tuple							=      tmp_path / '''custom_extracted_path'''
       if default_extracted:
              snake_case       :   List[Any]							=      ('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
       else:
              monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_DIR"				,					__lowerCamelCase    )
              monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_PATH"				,					str(__lowerCamelCase    )    )
              snake_case       :   str							=      custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

       snake_case       :   int							=      xz_file
       snake_case       :   List[Any]							=      (
           DownloadConfig(extract_compressed_file=__lowerCamelCase    )
           if default_cache_dir
           else DownloadConfig(cache_dir=tmp_path / custom_cache_dir				,					extract_compressed_file=__lowerCamelCase    )
       )
       snake_case       :   Union[str, Any]							=      cached_path(__lowerCamelCase				,					download_config=__lowerCamelCase    )
       assert Path(__lowerCamelCase    ).parent.parts[-2:] == expected


def 			UpperCamelCase					(    __lowerCamelCase     : Optional[int]    ):
       # absolute path
       snake_case       :   List[Any]							=      str(Path(__lowerCamelCase    ).resolve()    )
       assert cached_path(__lowerCamelCase    ) == text_file
       # relative path
       snake_case       :   Union[str, Any]							=      str(Path(__lowerCamelCase    ).resolve().relative_to(Path(os.getcwd()    )    )    )
       assert cached_path(__lowerCamelCase    ) == text_file


def 			UpperCamelCase					(    __lowerCamelCase     : Any    ):
       # absolute path
       snake_case       :   Dict							=      str(tmp_path.resolve() / "__missing_file__.txt"    )
       with pytest.raises(__lowerCamelCase    ):
              cached_path(__lowerCamelCase    )
       # relative path
       snake_case       :   Dict							=      '''./__missing_file__.txt'''
       with pytest.raises(__lowerCamelCase    ):
              cached_path(__lowerCamelCase    )


def 			UpperCamelCase					(    __lowerCamelCase     : List[str]    ):
       snake_case       :   List[str]							=      get_from_cache(f"""tmp://{tmpfs_file}"""    )
       with open(__lowerCamelCase    ) as f:
              snake_case       :   int							=      f.read()
       assert output_file_content == FILE_CONTENT


@patch("datasets.config.HF_DATASETS_OFFLINE"				,					__lowerCamelCase    )
def 			UpperCamelCase					(    ):
       with pytest.raises(__lowerCamelCase    ):
              cached_path("https://huggingface.co"    )


@patch("datasets.config.HF_DATASETS_OFFLINE"				,					__lowerCamelCase    )
def 			UpperCamelCase					(    __lowerCamelCase     : Dict    ):
       snake_case       :   str							=      tmp_path_factory.mktemp("data"    ) / '''file.html'''
       with pytest.raises(__lowerCamelCase    ):
              http_get("https://huggingface.co"				,					temp_file=__lowerCamelCase    )
       with pytest.raises(__lowerCamelCase    ):
              http_head("https://huggingface.co"    )


@patch("datasets.config.HF_DATASETS_OFFLINE"				,					__lowerCamelCase    )
def 			UpperCamelCase					(    __lowerCamelCase     : Optional[Any]    ):
       snake_case       :   List[str]							=      tmp_path_factory.mktemp("data"    ) / '''file.html'''
       with pytest.raises(__lowerCamelCase    ):
              ftp_get("ftp://huggingface.co"				,					temp_file=__lowerCamelCase    )
       with pytest.raises(__lowerCamelCase    ):
              ftp_head("ftp://huggingface.co"    )




@patch("datasets.config.HF_DATASETS_OFFLINE"				,					__lowerCamelCase    )
def 			UpperCamelCase					(    __lowerCamelCase     : Dict    ):
       snake_case       :   List[Any]							=      tmp_path_factory.mktemp("data"    ) / '''file.html'''
       with pytest.raises(__lowerCamelCase    ):
              fsspec_get("s3://huggingface.co"				,					temp_file=__lowerCamelCase    )
       with pytest.raises(__lowerCamelCase    ):
              fsspec_head("s3://huggingface.co"    )










"""simple docstring"""







from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
							from .features import FeatureType
@dataclass
class        __A       :







		'''simple docstring'''





		lowerCAmelCase			:					List[str]
		lowerCAmelCase			:					Optional[str]   	=				None
		# Automatically constructed
		lowerCAmelCase			:					ClassVar[str]   	=				"dict"
		lowerCAmelCase			:					ClassVar[Any]   	=				None
		lowerCAmelCase			:					str   	=				field(default="Translation"     ,init=A_     ,repr=A_    )







		def __call__(	self						:  List[str]						)					->		Any:






				"""simple docstring"""



				return pa.struct({lang: pa.string() for lang in sorted(self.languages						)}						)







		def 					UpperCAmelCase    (	self						:  List[str]						)					->		Union["FeatureType", Dict[str, "FeatureType"]]:






				"""simple docstring"""



				from .features import Value

				return {k: Value('''string'''						) for k in sorted(self.languages						)}





@dataclass
class        __A       :







		'''simple docstring'''





		lowerCAmelCase			:					Optional[List]   	=				None
		lowerCAmelCase			:					Optional[int]   	=				None
		lowerCAmelCase			:					Optional[str]   	=				None
		# Automatically constructed
		lowerCAmelCase			:					ClassVar[str]   	=				"dict"
		lowerCAmelCase			:					ClassVar[Any]   	=				None
		lowerCAmelCase			:					str   	=				field(default="TranslationVariableLanguages"     ,init=A_     ,repr=A_    )







		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		Optional[int]:






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			sorted(set(self.languages						)						) if self.languages else None
				lowercase__   :    Dict				=			len(self.languages						) if self.languages else None







		def __call__(	self						:  List[Any]						)					->		List[Any]:






				"""simple docstring"""



				return pa.struct({'''language''': pa.list_(pa.string()						), '''translation''': pa.list_(pa.string()						)}						)







		def 					UpperCAmelCase    (	self						:  Dict			,_snake_case						:  Tuple						)					->		int:






				"""simple docstring"""



				lowercase__   :    List[Any]				=			set(self.languages						)
				if self.languages and set(_snake_case						) - lang_set:
						raise ValueError(
						    f"""Some languages in example ({", ".join(sorted(set(_snake_case						) - lang_set						)						)}) are not in valid set ({", ".join(_snake_case						)})."""						)

				# Convert dictionary into tuples, splitting out cases where there are
				# multiple translations for a single language.
				lowercase__   :    str				=			[]
				for lang, text in translation_dict.items():
						if isinstance(_snake_case			,_snake_case						):
								translation_tuples.append((lang, text)						)
						else:
								translation_tuples.extend([(lang, el) for el in text]						)

        # Ensure translations are in ascending order by language code.
				lowercase__		,			lowercase__   :    Optional[Any]				=			zip(*sorted(_snake_case						)						)

				return {"language": languages, "translation": translations}







		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		Union["FeatureType", Dict[str, "FeatureType"]]:






				"""simple docstring"""



				from .features import Sequence, Value

				return {
				    "language": Sequence(Value('''string'''						)						),
				    "translation": Sequence(Value('''string'''						)						),
				}
