

import pytest

import datasets


# Import fixture modules as plugins
lowerCAmelCase_       	=	['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ):
						# Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
						for item in items:
												if any(marker in item.keywords for marker in ['''integration''', '''unit''']       ):
																		continue
												item.add_marker(pytest.mark.unit       )


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):
						config.addinivalue_line('''markers'''  ,		'''torchaudio_latest: mark test to run with torchaudio>=0.12'''       )


@pytest.fixture(autouse=SCREAMING_SNAKE_CASE__       )
def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ):
						# test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
						snake_case_   =	tmp_path_factory.getbasetemp() / '''cache'''
						snake_case_   =	test_hf_cache_home / '''datasets'''
						snake_case_   =	test_hf_cache_home / '''metrics'''
						snake_case_   =	test_hf_cache_home / '''modules'''
						monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE'''  ,		str(SCREAMING_SNAKE_CASE__       )       )
						monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE'''  ,		str(SCREAMING_SNAKE_CASE__       )       )
						monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE'''  ,		str(SCREAMING_SNAKE_CASE__       )       )
						snake_case_   =	test_hf_datasets_cache / '''downloads'''
						monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH'''  ,		str(SCREAMING_SNAKE_CASE__       )       )
						snake_case_   =	test_hf_datasets_cache / '''downloads''' / '''extracted'''
						monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''  ,		str(SCREAMING_SNAKE_CASE__       )       )


@pytest.fixture(autouse=SCREAMING_SNAKE_CASE__  ,		scope='''session'''       )
def   __SCREAMING_SNAKE_CASE					():
						datasets.disable_progress_bar()


@pytest.fixture(autouse=SCREAMING_SNAKE_CASE__       )
def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):
						# don't take tests into account when counting downloads
						monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'''  ,		SCREAMING_SNAKE_CASE__       )


@pytest.fixture
def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):
						# Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
						# To be removed once SQLAlchemy 2.0 supported
						monkeypatch.setattr('''sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'''  ,		SCREAMING_SNAKE_CASE__       )


from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader





class 	snake_case_   (		__A					):







			'''simple docstring'''

			def __init__(     self :				int							,   _UpperCamelCase :				pyspark.sql.DataFrame							,   _UpperCamelCase :				Optional[NamedSplit] = None							,   _UpperCamelCase :				Optional[Features] = None							,   _UpperCamelCase :				bool = True							,   _UpperCamelCase :				str = None							,   _UpperCamelCase :				bool = False							,   _UpperCamelCase :				str = None							,   _UpperCamelCase :				bool = True							,   _UpperCamelCase :				str = "arrow"							,   **_UpperCamelCase :				Tuple							,   )      ->str:
									super().__init__(
									    split=_UpperCamelCase							,   features=_UpperCamelCase							,   cache_dir=_UpperCamelCase							,   keep_in_memory=_UpperCamelCase							,   streaming=_UpperCamelCase							,   **_UpperCamelCase							,   )
									snake_case_   =	load_from_cache_file
									snake_case_   =	file_format
									snake_case_   =	Spark(
									    df=_UpperCamelCase							,   features=_UpperCamelCase							,   cache_dir=_UpperCamelCase							,   working_dir=_UpperCamelCase							,   **_UpperCamelCase							,   )







			def 				snake_case__(     self :				int							)      ->Tuple:
									if self.streaming:
															return self.builder.as_streaming_dataset(split=self.split							)
									snake_case_   =	None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
									self.builder.download_and_prepare(
									    download_mode=_UpperCamelCase							,   file_format=self._file_format							,   )
									return self.builder.as_dataset(split=self.split							)