import pytest

from datasets import inspect_metric, list_metrics, load_metric






@pytest.fixture
def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       monkeypatch.setattr('datasets.utils.deprecation_utils._emitted_deprecation_warnings'     ,  set()     )






@pytest.fixture
def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       class     a_			:






        '''simple docstring'''






        def __init__(      self :  Any      ,   lowercase__ :  Any):







               '''simple docstring'''



               lowerCAmelCase__					     = metric_id






       class     a_			:






        '''simple docstring'''






        UpperCAmelCase_     			= [MetricMock(SCREAMING_SNAKE_CASE						) for metric_id in ['accuracy', 'mse', 'precision', 'codeparrot/apps_metric']]




        def 		__snake_case						(      self :  List[Any]):







               '''simple docstring'''



               return self._metrics






       monkeypatch.setattr('datasets.inspect.huggingface_hub'     ,  HfhMock()     )






@pytest.mark.parametrize(
    'func, args'     ,  [(load_metric, ('metrics/mse',)), (list_metrics, ()), (inspect_metric, ('metrics/mse', 'tmp_path'))]     )
def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ):
       if "tmp_path" in args:
              lowerCAmelCase__					     = tuple(arg if arg != 'tmp_path' else tmp_path for arg in args     )
       with pytest.warns(lowerCAmelCase__     ,  match='https://huggingface.co/docs/evaluate'     ):
              func(*lowerCAmelCase__     )

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     a_			(						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 def __init__(      self :  str      ,   lowercase__ :  pyspark.sql.DataFrame      ,   lowercase__ :  Optional[NamedSplit] = None      ,   lowercase__ :  Optional[Features] = None      ,   lowercase__ :  bool = True      ,   lowercase__ :  str = None      ,   lowercase__ :  bool = False      ,   lowercase__ :  str = None      ,   lowercase__ :  bool = True      ,   lowercase__ :  str = "arrow"      ,   **lowercase__ :  Any      ,   ):







        '''simple docstring'''



        super().__init__(
            split=lowercase__      ,   features=lowercase__      ,   cache_dir=lowercase__      ,   keep_in_memory=lowercase__      ,   streaming=lowercase__      ,   **lowercase__      ,   )
        lowerCAmelCase__					     = load_from_cache_file
        lowerCAmelCase__					     = file_format
        lowerCAmelCase__					     = Spark(
            df=lowercase__      ,   features=lowercase__      ,   cache_dir=lowercase__      ,   working_dir=lowercase__      ,   **lowercase__      ,   )




 def 		__snake_case						(      self :  Tuple):







        '''simple docstring'''



        if self.streaming:
               return self.builder.as_streaming_dataset(split=self.split)
        lowerCAmelCase__					     = None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
        self.builder.download_and_prepare(
            download_mode=lowercase__      ,   file_format=self._file_format      ,   )
        return self.builder.as_dataset(split=self.split)
