
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  UpperCamelCase__		(    _SCREAMING_SNAKE_CASE   ):







	'''simple docstring'''





	def __init__(			self				,       UpperCamelCase__				,       UpperCamelCase__ = None				,       UpperCamelCase__ = None				,       UpperCamelCase__ = True				,       UpperCamelCase__ = None				,       UpperCamelCase__ = False				,       UpperCamelCase__ = None				,       UpperCamelCase__ = True				,       UpperCamelCase__ = "arrow"				,       **UpperCamelCase__				,       ):
					super().__init__(
					    split=A_				,       features=A_				,       cache_dir=A_				,       keep_in_memory=A_				,       streaming=A_				,       **A_				,       )
					A__  :	Any         =							load_from_cache_file
					A__  :	Optional[int]         =							file_format
					A__  :	Union[str, Any]         =							Spark(
					    df=A_				,       features=A_				,       cache_dir=A_				,       working_dir=A_				,       **A_				,       )





	def   __snake_case				(			self		):
					if self.streaming:
									return self.builder.as_streaming_dataset(split=self.split		)
					A__  :	List[str]         =							None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
					self.builder.download_and_prepare(
					    download_mode=A_				,       file_format=self._file_format				,       )
					return self.builder.as_dataset(split=self.split		)

import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment







@require_huggingface_suite
class  UpperCamelCase__		(    unittest.TestCase   ):







	'''simple docstring'''





	def   __snake_case				(			self		):
					A__  :	Dict         =							inspect.getfile(accelerate.test_utils		)
					A__  :	Any         =							os.path.sep.join(
					    mod_file.split(os.path.sep		)[:-1] + ['''scripts''', '''external_deps''', '''test_metrics.py''']		)

					from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

					A__  :	Tuple         =							test_metrics





	@require_cpu
	def   __snake_case				(			self		):
					debug_launcher(self.test_metrics.main				,       num_processes=1		)





	@require_cpu
	def   __snake_case				(			self		):
					debug_launcher(self.test_metrics.main		)





	@require_single_gpu
	def   __snake_case				(			self		):
					self.test_metrics.main()





	@require_multi_gpu
	def   __snake_case				(			self		):
					print(F"Found {torch.cuda.device_count()} devices."		)
					A__  :	int         =							['''torchrun''', F"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
					with patch_environment(omp_num_threads=1		):
									execute_subprocess_async(UpperCamelCase__				,       env=os.environ.copy()		)