


'''simple docstring'''





import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


A      = pytest.mark.integration





@pytest.mark.parametrize("path" ,						["paws", "csv"]			)
def __UpperCAmelCase       (		__A ,						__A			)						->					Dict:



       '''simple docstring'''





       inspect_dataset(__A ,						__A			)
       UpperCAmelCase__										=     path + ".py"
       assert script_name in os.listdir(__A			)
       assert "__pycache__" not in os.listdir(__A			)





@pytest.mark.filterwarnings("ignore:inspect_metric is deprecated:FutureWarning"			)
@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"			)
@pytest.mark.parametrize("path" ,						["accuracy"]			)
def __UpperCAmelCase       (		__A ,						__A			)						->					Any:



       '''simple docstring'''





       inspect_metric(__A ,						__A			)
       UpperCAmelCase__										=     path + ".py"
       assert script_name in os.listdir(__A			)
       assert "__pycache__" not in os.listdir(__A			)





@pytest.mark.parametrize(
    "path, config_name, expected_splits" ,						[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ] ,						)
def __UpperCAmelCase       (		__A ,						__A ,						__A			)						->					Optional[int]:



       '''simple docstring'''





       UpperCAmelCase__										=     get_dataset_config_info(__A ,						config_name=__A			)
       assert info.config_name == config_name
       assert list(info.splits.keys()			) == expected_splits





@pytest.mark.parametrize(
    "path, config_name, expected_exception" ,						[
        ("paws", None, ValueError),
    ] ,						)
def __UpperCAmelCase       (		__A ,						__A ,						__A			)						->					Dict:



       '''simple docstring'''





       with pytest.raises(__A			):
              get_dataset_config_info(__A ,						config_name=__A			)





@pytest.mark.parametrize(
    "path, expected" ,						[
        ("squad", "plain_text"),
        ("acronym_identification", "default"),
        ("lhoestq/squad", "plain_text"),
        ("lhoestq/test", "default"),
        ("lhoestq/demo1", "lhoestq--demo1"),
        ("dalle-mini/wit", "dalle-mini--wit"),
    ] ,						)
def __UpperCAmelCase       (		__A ,						__A			)						->					Dict:



       '''simple docstring'''





       UpperCAmelCase__										=     get_dataset_config_names(__A			)
       assert expected in config_names





@pytest.mark.parametrize(
    "path, expected_configs, expected_splits_in_first_config" ,						[
        ("squad", ["plain_text"], ["train", "validation"]),
        ("dalle-mini/wit", ["dalle-mini--wit"], ["train"]),
        ("paws", ["labeled_final", "labeled_swap", "unlabeled_final"], ["train", "test", "validation"]),
    ] ,						)
def __UpperCAmelCase       (		__A ,						__A ,						__A			)						->					Any:



       '''simple docstring'''





       UpperCAmelCase__										=     get_dataset_infos(__A			)
       assert list(infos.keys()			) == expected_configs
       UpperCAmelCase__										=     expected_configs[0]
       assert expected_config in infos
       UpperCAmelCase__										=     infos[expected_config]
       assert info.config_name == expected_config
       assert list(info.splits.keys()			) == expected_splits_in_first_config





@pytest.mark.parametrize(
    "path, expected_config, expected_splits" ,						[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ] ,						)
def __UpperCAmelCase       (		__A ,						__A ,						__A			)						->					str:



       '''simple docstring'''





       UpperCAmelCase__										=     get_dataset_infos(__A			)
       assert expected_config in infos
       UpperCAmelCase__										=     infos[expected_config]
       assert info.config_name == expected_config
       assert list(info.splits.keys()			) == expected_splits





@pytest.mark.parametrize(
    "path, config_name, expected_exception" ,						[
        ("paws", None, ValueError),
    ] ,						)
def __UpperCAmelCase       (		__A ,						__A ,						__A			)						->					Optional[Any]:



       '''simple docstring'''





       with pytest.raises(__A			):
              get_dataset_split_names(__A ,						config_name=__A			)









from __future__ import annotations





def __UpperCAmelCase       (		__A			)						->					list[int]:



       '''simple docstring'''





       UpperCAmelCase__										=     [True] * limit
       UpperCAmelCase__										=     False
       UpperCAmelCase__										=     False
       UpperCAmelCase__										=     True

       for i in range(3 ,						int(limit**0.5 + 1			) ,						2			):
              UpperCAmelCase__										=     i * 2
              while index < limit:
                     UpperCAmelCase__										=     False
                     UpperCAmelCase__										=     index + i

       UpperCAmelCase__										=     [2]

       for i in range(3 ,						__A ,						2			):
              if is_prime[i]:
                     primes.append(__A			)

       return primes





def __UpperCAmelCase       (		__A = 1_0_0_0_0_0_0			)						->					int:



       '''simple docstring'''





       UpperCAmelCase__										=     prime_sieve(__A			)
       UpperCAmelCase__										=     0
       UpperCAmelCase__										=     0

       for i in range(len(__A			)			):
              for j in range(i + length ,						len(__A			)			):
                     UpperCAmelCase__										=     sum(primes[i:j]			)
                     if sol >= ceiling:
                            break

                     if sol in primes:
                            UpperCAmelCase__										=     j - i
                            UpperCAmelCase__										=     sol

       return largest


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





