
"""simple docstring"""




def lowercase_						(     _snake_case     ,_snake_case = False		):

							if not isinstance(_snake_case     ,_snake_case		):
														SCREAMING_SNAKE_CASE__		: Dict     =     f'''Expected string as input, found {type(_snake_case		)}'''
														raise ValueError(_snake_case		)
							if not isinstance(_snake_case     ,_snake_case		):
														SCREAMING_SNAKE_CASE__		: Tuple     =     f'''Expected boolean as use_pascal parameter, found {type(_snake_case		)}'''
														raise ValueError(_snake_case		)

							SCREAMING_SNAKE_CASE__		: List[Any]     =     input_str.split("""_"""		)

							SCREAMING_SNAKE_CASE__		: str     =     0 if use_pascal else 1

							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     words[start_index:]

							SCREAMING_SNAKE_CASE__		: Tuple     =     [word[0].upper() + word[1:] for word in words_to_capitalize]

							SCREAMING_SNAKE_CASE__		: str     =     """""" if use_pascal else words[0]

							return "".join([initial_word, *capitalized_words]		)


if __name__ == "__main__":
					from doctest import testmod

					testmod()






"""simple docstring"""




from typing import TYPE_CHECKING

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


UpperCAmelCase__   :					Tuple												=				{
    'configuration_mask2former': [
        'MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Mask2FormerConfig',
    ],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__   :					str												=				['Mask2FormerImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__   :					Any												=				[
					    '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

					UpperCAmelCase__   :					Union[str, Any]												=				_LazyModule(__name__, globals()['__file__'], _import_structure)




