


import pytest

from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs



@pytest.mark.parametrize(
    'kwargs, expected'							, [
        ({'num_shards': 0, 'max_num_jobs': 1}, []),
        ({'num_shards': 10, 'max_num_jobs': 1}, [range(10 )]),
        ({'num_shards': 10, 'max_num_jobs': 10}, [range(lowerCamelCase_							, i + 1 ) for i in range(10 )]),
        ({'num_shards': 1, 'max_num_jobs': 10}, [range(1 )]),
        ({'num_shards': 10, 'max_num_jobs': 3}, [range(0							, 4 ), range(4							, 7 ), range(7							, 10 )]),
        ({'num_shards': 3, 'max_num_jobs': 10}, [range(0							, 1 ), range(1							, 2 ), range(2							, 3 )]),
    ]							, )
def 				UpperCamelCase_(      lowerCamelCase_							, lowerCamelCase_ )    ->						int:
    _lowercase       :							List[Any]      		=		_distribute_shards(**lowerCamelCase_ )
    assert out == expected



@pytest.mark.parametrize(
    'gen_kwargs, max_num_jobs, expected'							, [
        ({'foo': 0}, 10, [{'foo': 0}]),
        ({'shards': [0, 1, 2, 3]}, 1, [{'shards': [0, 1, 2, 3]}]),
        ({'shards': [0, 1, 2, 3]}, 4, [{'shards': [0]}, {'shards': [1]}, {'shards': [2]}, {'shards': [3]}]),
        ({'shards': [0, 1]}, 4, [{'shards': [0]}, {'shards': [1]}]),
        ({'shards': [0, 1, 2, 3]}, 2, [{'shards': [0, 1]}, {'shards': [2, 3]}]),
    ]							, )
def 				UpperCamelCase_(      lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_ )    ->						Optional[int]:
    _lowercase       :							int      		=		_split_gen_kwargs(lowerCamelCase_							, lowerCamelCase_ )
    assert out == expected



@pytest.mark.parametrize(
    'gen_kwargs, expected'							, [
        ({'foo': 0}, 1),
        ({'shards': [0]}, 1),
        ({'shards': [0, 1, 2, 3]}, 4),
        ({'shards': [0, 1, 2, 3], 'foo': 0}, 4),
        ({'shards': [0, 1, 2, 3], 'other': (0, 1)}, 4),
        ({'shards': [0, 1, 2, 3], 'shards2': [0, 1]}, RuntimeError),
    ]							, )
def 				UpperCamelCase_(      lowerCamelCase_							, lowerCamelCase_ )    ->						Tuple:
    if expected is RuntimeError:
        with pytest.raises(lowerCamelCase_ ):
            _number_of_shards_in_gen_kwargs(lowerCamelCase_ )
    else:
        _lowercase       :							Tuple      		=		_number_of_shards_in_gen_kwargs(lowerCamelCase_ )
        assert out == expected



import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer





def    __lowercase     (						lowerCamelCase					:     str  ,  lowerCamelCase					:     str  ,  **lowerCamelCase					:     List[Any]	):
 UpperCamelCase_					:						Union[str, Any] =					AutoConfig.from_pretrained(lowerCamelCase  ,  **lowerCamelCase	)
 UpperCamelCase_					:						str =					AutoModelForSeqaSeqLM.from_config(lowerCamelCase	)
 model.save_pretrained(lowerCamelCase	)
 AutoTokenizer.from_pretrained(lowerCamelCase	).save_pretrained(lowerCamelCase	)
 return model


if __name__ == "__main__":
   fire.Fire(save_randomly_initialized_version)



