



'''simple docstring'''




import itertools
import string
from collections.abc import Generator, Iterable






def 		_lowerCAmelCase				(_lowercase   ,					_lowercase			):

       """simple docstring"""

       a__								= iter(lowercase__			)
       while True:
              a__								= tuple(itertools.islice(lowercase__   ,					lowercase__			)			)
              if not chunk:
                     return
              yield chunk






def 		_lowerCAmelCase				(_lowercase			):

       """simple docstring"""

       a__								= ''.join([c.upper() for c in dirty if c in string.ascii_letters]			)
       a__								= ''

       if len(lowercase__			) < 2:
              return dirty

       for i in range(len(lowercase__			) - 1			):
              clean += dirty[i]

              if dirty[i] == dirty[i + 1]:
                     clean += "X"

       clean += dirty[-1]

       if len(lowercase__			) & 1:
              clean += "X"

       return clean






def 		_lowerCAmelCase				(_lowercase			):

       """simple docstring"""

       a__								= 'ABCDEFGHIKLMNOPQRSTUVWXYZ'
       # we're using a list instead of a '2d' array because it makes the math
       # for setting up the table and doing the actual encoding/decoding simpler
       a__								= []

       # copy key chars into the table if they are in `alphabet` ignoring duplicates
       for char in key.upper():
              if char not in table and char in alphabet:
                     table.append(lowercase__			)

    # fill the rest of the table in with the remaining alphabet chars
       for char in alphabet:
              if char not in table:
                     table.append(lowercase__			)

       return table






def 		_lowerCAmelCase				(_lowercase   ,					_lowercase			):

       """simple docstring"""

       a__								= generate_table(lowercase__			)
       a__								= prepare_input(lowercase__			)
       a__								= ''

       # https://en.wikipedia.org/wiki/Playfair_cipher#Description
       for chara, chara in chunker(lowercase__   ,					2			):
              a__								= divmod(table.index(lowercase__			)   ,					5			)
              a__								= divmod(table.index(lowercase__			)   ,					5			)

              if rowa == rowa:
                     ciphertext += table[rowa * 5 + (cola + 1) % 5]
                     ciphertext += table[rowa * 5 + (cola + 1) % 5]
              elif cola == cola:
                     ciphertext += table[((rowa + 1) % 5) * 5 + cola]
                     ciphertext += table[((rowa + 1) % 5) * 5 + cola]
              else:  # rectangle
                     ciphertext += table[rowa * 5 + cola]
                     ciphertext += table[rowa * 5 + cola]

       return ciphertext






def 		_lowerCAmelCase				(_lowercase   ,					_lowercase			):

       """simple docstring"""

       a__								= generate_table(lowercase__			)
       a__								= ''

       # https://en.wikipedia.org/wiki/Playfair_cipher#Description
       for chara, chara in chunker(lowercase__   ,					2			):
              a__								= divmod(table.index(lowercase__			)   ,					5			)
              a__								= divmod(table.index(lowercase__			)   ,					5			)

              if rowa == rowa:
                     plaintext += table[rowa * 5 + (cola - 1) % 5]
                     plaintext += table[rowa * 5 + (cola - 1) % 5]
              elif cola == cola:
                     plaintext += table[((rowa - 1) % 5) * 5 + cola]
                     plaintext += table[((rowa - 1) % 5) * 5 + cola]
              else:  # rectangle
                     plaintext += table[rowa * 5 + cola]
                     plaintext += table[rowa * 5 + cola]

       return plaintext






"""simple docstring"""






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


try:
			if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import (
			    VersatileDiffusionDualGuidedPipeline,
			    VersatileDiffusionImageVariationPipeline,
			    VersatileDiffusionPipeline,
			    VersatileDiffusionTextToImagePipeline,
			)
else:
			from .modeling_text_unet import UNetFlatConditionModel
			from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
			from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
			from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
			from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline