






import string







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	snake_case__				:   Union[str, Any]     =						""
	for i in sequence:
		snake_case__				:   int     =						ord(snake_case_     )
		if 65 <= extract <= 90:
			output += chr(155 - extract     )
		elif 97 <= extract <= 122:
			output += chr(219 - extract     )
		else:
			output += i
	return output







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	snake_case__				:   str     =						string.ascii_letters
	snake_case__				:   Optional[int]     =						string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
	return "".join(
	    letters_reversed[letters.index(snake_case_     )] if c in letters else c for c in sequence     )







def   SCREAMING_SNAKE_CASE       (				):
	from timeit import timeit

	print("Running performance benchmarks..."     )
	snake_case__				:   str     =						"from string import printable ; from __main__ import atbash, atbash_slow"
	print(F'''> atbash_slow(): {timeit('atbash_slow(printable)'  ,						setup=snake_case_     )} seconds'''     )
	print(F'''>      atbash(): {timeit('atbash(printable)'  ,						setup=snake_case_     )} seconds'''     )


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









from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
	if not (is_transformers_available() and is_torch_available()):
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
	from .pipeline_kandinsky import KandinskyPipeline
	from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
	from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
	from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
	from .text_encoder import MultilingualCLIP



