





import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict
@pytest.mark.parametrize(
    "split_dict"	,	[
        SplitDict(),
        SplitDict({"train": SplitInfo(name="train"	,	num_bytes=1_337	,	num_examples=42	,	dataset_name="my_dataset"						)}						),
        SplitDict({"train": SplitInfo(name="train"	,	num_bytes=1_337	,	num_examples=42						)}						),
        SplitDict({"train": SplitInfo()}						),
    ]	,	)
def 					_A	(		SCREAMING_SNAKE_CASE					:       SplitDict						):





  """simple docstring"""



  a__     : str  =split_dict._to_yaml_list()
  assert len(SCREAMING_SNAKE_CASE						) == len(SCREAMING_SNAKE_CASE						)
  a__     : List[str]  =SplitDict._from_yaml_list(SCREAMING_SNAKE_CASE						)
  for split_name, split_info in split_dict.items():
    # dataset_name field is deprecated, and is therefore not part of the YAML dump
    a__     : Tuple  =None
    # the split name of split_dict takes over the name of the split info object
    a__     : List[str]  =split_name
  assert split_dict == reloaded





@pytest.mark.parametrize(
    "split_info"	,	[SplitInfo(), SplitInfo(dataset_name=SCREAMING_SNAKE_CASE						), SplitInfo(dataset_name="my_dataset"						)]						)
def 					_A	(		SCREAMING_SNAKE_CASE					:       List[str]						):





  """simple docstring"""



  a__     : Optional[int]  =asdict(SplitDict({"train": split_info}						)						)
  assert "dataset_name" in split_dict_asdict["train"]
  assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name













import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate







@dataclass(frozen=UpperCamelCase__)
class     __lowerCAmelCase	(   UpperCamelCase__):
      _lowercase    : str            =      field(default="""image-classification"""						,    metadata={"""include_in_asdict_even_if_is_default""": True})
      _lowercase    : ClassVar[Features]            =      Features({"""image""": Image()})
      _lowercase    : ClassVar[Features]            =      Features({"""labels""": ClassLabel})
      _lowercase    : str            =      "image"
      _lowercase    : str            =      "labels"







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						List[Any]:



        '''simple docstring'''




        if self.label_column not in features:
          raise ValueError(F'''Column {self.label_column} is not present in features.'''							)
        if not isinstance(features[self.label_column]		,				lowerCAmelCase__							):
          raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''							)
        a__     : int  =copy.deepcopy(self							)
        a__     : Dict  =self.label_schema.copy()
        a__     : int  =features[self.label_column]
        a__     : str  =label_schema
        return task_template







      @property
      def        _lowercase  (   self							)       ->						Dict[str, str]:



        '''simple docstring'''




        return {
            self.image_column: "image",
            self.label_column: "labels",
        }






