

import string






def 					lowerCamelCase_     (							UpperCAmelCase_							:     str	)						->				str:




	'''simple docstring'''




	_UpperCamelCase   :		str			=						''
	for i in sequence:
		_UpperCamelCase   :		List[str]			=						ord(UpperCAmelCase_	)
		if 6_5 <= extract <= 9_0:
			output += chr(1_5_5 - extract	)
		elif 9_7 <= extract <= 1_2_2:
			output += chr(2_1_9 - extract	)
		else:
			output += i
	return output






def 					lowerCamelCase_     (							UpperCAmelCase_							:     str	)						->				str:




	'''simple docstring'''




	_UpperCamelCase   :		int			=						string.ascii_letters
	_UpperCamelCase   :		Tuple			=						string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
	return "".join(
	    letters_reversed[letters.index(UpperCAmelCase_	)] if c in letters else c for c in sequence	)






def 					lowerCamelCase_     (							)						->				None:




	'''simple docstring'''




	from timeit import timeit

	print('Running performance benchmarks...'	)
	_UpperCamelCase   :		Optional[int]			=						'from string import printable ; from __main__ import atbash, atbash_slow'
	print(F'''> atbash_slow(): {timeit("atbash_slow(printable)"							,       setup=UpperCAmelCase_	)} seconds'''	)
	print(F'''>      atbash(): {timeit("atbash(printable)"							,       setup=UpperCAmelCase_	)} seconds'''	)


if __name__ == "__main__":
							for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
														print(f'{example} encrypted in atbash: {atbash(example)}')
							benchmark()







from typing import TYPE_CHECKING

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


lowerCAmelCase__								=		{
    """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:
							lowerCAmelCase__								=		["""BlipImageProcessor"""]


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

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__								=		[
							    """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

							lowerCAmelCase__								=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




