



"""simple docstring"""
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(__SCREAMING_SNAKE_CASE			,		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       _snake_case						(						UpperCamelCase						:		int			,		UpperCamelCase						:		Union[str, Any]						):
 UpperCAmelCase	:					str	=	_distribute_shards(**__SCREAMING_SNAKE_CASE						)
 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       _snake_case						(						UpperCamelCase						:		int			,		UpperCamelCase						:		int			,		UpperCamelCase						:		Union[str, Any]						):
 UpperCAmelCase	:					Dict	=	_split_gen_kwargs(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE						)
 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       _snake_case						(						UpperCamelCase						:		str			,		UpperCamelCase						:		List[Any]						):





 if expected is RuntimeError:
  with pytest.raises(__SCREAMING_SNAKE_CASE						):
   _number_of_shards_in_gen_kwargs(__SCREAMING_SNAKE_CASE						)
 else:
  UpperCAmelCase	:					int	=	_number_of_shards_in_gen_kwargs(__SCREAMING_SNAKE_CASE						)
  assert out == expected


'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowercase :  Union[str, Any]    							=       {
    "configuration_mask2former": [
        "MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Mask2FormerConfig",
    ],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_lowercase :  Optional[int]    							=       ["Mask2FormerImageProcessor"]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_lowercase :  str    							=       [
							    "MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "Mask2FormerForUniversalSegmentation",
							    "Mask2FormerModel",
							    "Mask2FormerPreTrainedModel",
							]

if TYPE_CHECKING:
							from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_maskaformer import MaskaFormerImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_maskaformer import (
														    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MaskaFormerForUniversalSegmentation,
														    MaskaFormerModel,
														    MaskaFormerPreTrainedModel,
														)


else:
							import sys

							_lowercase :  Dict    							=       _LazyModule(__name__, globals()["__file__"], _import_structure)



