

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=1337				,      num_examples=42				,      dataset_name="my_dataset")}),
        SplitDict({"train": SplitInfo(name="train"				,      num_bytes=1337				,      num_examples=42)}),
        SplitDict({"train": SplitInfo()}),
    ]				,      )
def 			lowerCamelCase__			(       _a):
	SCREAMING_SNAKE_CASE :   Optional[Any]					  =							split_dict._to_yaml_list()
	assert len(_a) == len(_a)
	SCREAMING_SNAKE_CASE :   List[Any]					  =							SplitDict._from_yaml_list(_a)
	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 :   str					  =							None
		# the split name of split_dict takes over the name of the split info object
		SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							split_name
	assert split_dict == reloaded


@pytest.mark.parametrize(
    "split_info"				,      [SplitInfo(), SplitInfo(dataset_name=_a), SplitInfo(dataset_name="my_dataset")])
def 			lowerCamelCase__			(       _a):
	# 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 :   Union[str, Any]					  =							asdict(SplitDict({"train": split_info}))
	assert "dataset_name" in split_dict_asdict["train"]
	assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name




def 	_lowerCAmelCase (    A__ = 50_000_000						):
      lowercase__  =	set()
      lowercase__  =	int((limit - 24) ** (1 / 2)						)

      lowercase__  =	set(range(3    ,	prime_square_limit + 1    ,	2						)						)
      primes.add(2						)
      for p in range(3    ,	prime_square_limit + 1    ,	2						):
            if p not in primes:
                  continue
            primes.difference_update(set(range(p * p    ,	prime_square_limit + 1    ,	A__						)						)						)

      for primea in primes:
            lowercase__  =	primea * primea
            for primea in primes:
                  lowercase__  =	primea * primea * primea
                  if square + cube >= limit - 16:
                        break
                  for primea in primes:
                        lowercase__  =	primea * primea * primea * primea
                        lowercase__  =	square + cube + tetr
                        if total >= limit:
                              break
                        ret.add(A__						)

      return len(A__						)


if __name__ == "__main__":
       print(F'''{solution() = }''')
