





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


A   : Optional[Any]			=				{
    '''configuration_blip''': [
        '''BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BlipConfig''',
        '''BlipTextConfig''',
        '''BlipVisionConfig''',
    ],
    '''processing_blip''': ['''BlipProcessor'''],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A   : List[Any]			=				['''BlipImageProcessor''']


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A   : Optional[int]			=				[
					    '''BLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''BlipModel''',
					    '''BlipPreTrainedModel''',
					    '''BlipForConditionalGeneration''',
					    '''BlipForQuestionAnswering''',
					    '''BlipVisionModel''',
					    '''BlipTextModel''',
					    '''BlipForImageTextRetrieval''',
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A   : Dict			=				[
					    '''TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''TFBlipModel''',
					    '''TFBlipPreTrainedModel''',
					    '''TFBlipForConditionalGeneration''',
					    '''TFBlipForQuestionAnswering''',
					    '''TFBlipVisionModel''',
					    '''TFBlipTextModel''',
					    '''TFBlipForImageTextRetrieval''',
					]

if TYPE_CHECKING:
					from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
					from .processing_blip import BlipProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_blip import BlipImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_blip import (
										    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BlipForConditionalGeneration,
										    BlipForImageTextRetrieval,
										    BlipForQuestionAnswering,
										    BlipModel,
										    BlipPreTrainedModel,
										    BlipTextModel,
										    BlipVisionModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_blip import (
										    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFBlipForConditionalGeneration,
										    TFBlipForImageTextRetrieval,
										    TFBlipForQuestionAnswering,
										    TFBlipModel,
										    TFBlipPreTrainedModel,
										    TFBlipTextModel,
										    TFBlipVisionModel,
										)

else:
					import sys

					A   : List[Any]			=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)








from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors







def        __lowerCamelCase (							__a       :int   )		->    int:






		"""simple docstring"""

		A__  				=       prime_factors(__a   )
		if is_square_free(__a   ):
				return -1 if len(__a   ) % 2 else 1
		return 0


if __name__ == "__main__":
					import doctest

					doctest.testmod()



