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_3_3_7      , num_examples=4_2      , dataset_name="my_dataset"  )}  ),
        SplitDict({"train": SplitInfo(name="train"      , num_bytes=1_3_3_7      , num_examples=4_2  )}  ),
        SplitDict({"train": SplitInfo()}  ),
    ]      , )
def 	__lowerCamelCase							(UpperCAmelCase__     :							SplitDict  ):
					SCREAMING_SNAKE_CASE    			=       split_dict._to_yaml_list()
					assert len(UpperCAmelCase__  ) == len(UpperCAmelCase__  )
					SCREAMING_SNAKE_CASE    			=       SplitDict._from_yaml_list(UpperCAmelCase__  )
					for split_name, split_info in split_dict.items():
										# dataset_name field is deprecated, and is therefore not part of the YAML dump
										SCREAMING_SNAKE_CASE    			=       None
										# the split name of split_dict takes over the name of the split info object
										SCREAMING_SNAKE_CASE    			=       split_name
					assert split_dict == reloaded





@pytest.mark.parametrize(
    "split_info"      , [SplitInfo(), SplitInfo(dataset_name=UpperCAmelCase__  ), SplitInfo(dataset_name="my_dataset"  )]  )
def 	__lowerCamelCase							(UpperCAmelCase__     :							Union[str, Any]  ):
					# For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
					# field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
					SCREAMING_SNAKE_CASE    			=       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 functools





def 	__lowerCamelCase							(UpperCAmelCase__     :							list[int]      , UpperCAmelCase__     :							list[int]  ):

					# Validation
					if not isinstance(UpperCAmelCase__      , UpperCAmelCase__  ) or not all(isinstance(UpperCAmelCase__      , UpperCAmelCase__  ) for day in days  ):
										raise ValueError("The parameter days should be a list of integers"  )

					if len(UpperCAmelCase__  ) != 3 or not all(isinstance(UpperCAmelCase__      , UpperCAmelCase__  ) for cost in costs  ):
										raise ValueError("The parameter costs should be a list of three integers"  )

					if len(UpperCAmelCase__  ) == 0:
										return 0

					if min(UpperCAmelCase__  ) <= 0:
										raise ValueError("All days elements should be greater than 0"  )

					if max(UpperCAmelCase__  ) >= 3_6_6:
										raise ValueError("All days elements should be less than 366"  )

					SCREAMING_SNAKE_CASE    			=       set(UpperCAmelCase__  )

					@functools.cache
					def dynamic_programming(UpperCAmelCase__     :							int  ) -> int:
										if index > 3_6_5:
															return 0

										if index not in days_set:
															return dynamic_programming(index + 1  )

										return min(
										    costs[0] + dynamic_programming(index + 1  )      , costs[1] + dynamic_programming(index + 7  )      , costs[2] + dynamic_programming(index + 3_0  )      , )

					return dynamic_programming(1  )


if __name__ == "__main__":
							import doctest

							doctest.testmod()




