


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': 1_0, 'max_num_jobs': 1}, [range(1_0	)]),
        ({'num_shards': 1_0, 'max_num_jobs': 1_0}, [range(a__      ,  i + 1	) for i in range(1_0	)]),
        ({'num_shards': 1, 'max_num_jobs': 1_0}, [range(1	)]),
        ({'num_shards': 1_0, 'max_num_jobs': 3}, [range(0      ,  4	), range(4      ,  7	), range(7      ,  1_0	)]),
        ({'num_shards': 3, 'max_num_jobs': 1_0}, [range(0      ,  1	), range(1      ,  2	), range(2      ,  3	)]),
    ]      ,  )
def 	lowerCAmelCase__			(      a__:		Dict      ,  a__:		Dict	)  ->		int:


							'''simple docstring'''





							_UpperCAmelCase					=      _distribute_shards(**a__	)
							assert out == expected

@pytest.mark.parametrize(
    'gen_kwargs, max_num_jobs, expected'      ,  [
        ({'foo': 0}, 1_0, [{'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 	lowerCAmelCase__			(      a__:		int      ,  a__:		int      ,  a__:		Optional[Any]	)  ->		Tuple:


							'''simple docstring'''





							_UpperCAmelCase					=      _split_gen_kwargs(a__      ,  a__	)
							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 	lowerCAmelCase__			(      a__:		Tuple      ,  a__:		Optional[int]	)  ->		Any:


							'''simple docstring'''





							if expected is RuntimeError:
														with pytest.raises(a__	):
																					_number_of_shards_in_gen_kwargs(a__	)
							else:
														_UpperCAmelCase					=      _number_of_shards_in_gen_kwargs(a__	)
														assert out == expected




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__  :List[str]             =							{
    '''configuration_x_clip''': [
        '''XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''XCLIPConfig''',
        '''XCLIPTextConfig''',
        '''XCLIPVisionConfig''',
    ],
    '''processing_x_clip''': ['''XCLIPProcessor'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase__  :Any             =							[
		    '''XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''XCLIPModel''',
		    '''XCLIPPreTrainedModel''',
		    '''XCLIPTextModel''',
		    '''XCLIPVisionModel''',
		]

if TYPE_CHECKING:
		from .configuration_x_clip import (
		    XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    XCLIPConfig,
		    XCLIPTextConfig,
		    XCLIPVisionConfig,
		)
		from .processing_x_clip import XCLIPProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_x_clip import (
				    XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    XCLIPModel,
				    XCLIPPreTrainedModel,
				    XCLIPTextModel,
				    XCLIPVisionModel,
				)

else:
		import sys

		lowerCAmelCase__  :str             =							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
