


import itertools
import string
from collections.abc import Generator, Iterable
def 				UpperCAmelCase_					(							__snake_case     ,						__snake_case						)     ->			Generator[tuple[str, ...], None, None]:







 """simple docstring"""


 _lowercase							      =iter(__snake_case						)
 while True:
  _lowercase							      =tuple(itertools.islice(__snake_case     ,						__snake_case						)						)
  if not chunk:
   return
  yield chunk
def 				UpperCAmelCase_					(							__snake_case						)     ->			str:







 """simple docstring"""


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

 if len(__snake_case						) < 2:
  return dirty

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

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

 clean += dirty[-1]

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

 return clean
def 				UpperCAmelCase_					(							__snake_case						)     ->			list[str]:







 """simple docstring"""


 _lowercase							      ='''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
 _lowercase							      =[]

 # 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(__snake_case						)

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

 return table
def 				UpperCAmelCase_					(							__snake_case     ,						__snake_case						)     ->			str:







 """simple docstring"""


 _lowercase							      =generate_table(__snake_case						)
 _lowercase							      =prepare_input(__snake_case						)
 _lowercase							      =''''''

 # https://en.wikipedia.org/wiki/Playfair_cipher#Description
 for chara, chara in chunker(__snake_case     ,						2						):
  _lowercase      ,    _lowercase							      =divmod(table.index(__snake_case						)     ,						5						)
  _lowercase      ,    _lowercase							      =divmod(table.index(__snake_case						)     ,						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 				UpperCAmelCase_					(							__snake_case     ,						__snake_case						)     ->			str:







 """simple docstring"""


 _lowercase							      =generate_table(__snake_case						)
 _lowercase							      =''''''

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





import gc
import unittest

from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
  import jax
  import jax.numpy as jnp
  from flax.jax_utils import replicate
  from flax.training.common_utils import shard







@slow
@require_flax
class       lowerCamelCase__   (       unittest.TestCase):





     def      __A					(self       )     ->   List[Any]:
      # clean up the VRAM after each test
      super().tearDown()
      gc.collect()





     def      __A					(self       )     ->   Optional[Any]:
      _lowercase							      =load_image(
          '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'''
          '''/sd2-inpaint/init_image.png'''       )
      _lowercase							      =load_image(
          '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png'''       )

      _lowercase							      ='''xvjiarui/stable-diffusion-2-inpainting'''
      _lowercase      ,    _lowercase							      =FlaxStableDiffusionInpaintPipeline.from_pretrained(UpperCAmelCase		,     safety_checker=UpperCAmelCase       )

      _lowercase							      ='''Face of a yellow cat, high resolution, sitting on a park bench'''

      _lowercase							      =jax.random.PRNGKey(0       )
      _lowercase							      =5_0

      _lowercase							      =jax.device_count()
      _lowercase							      =num_samples * [prompt]
      _lowercase							      =num_samples * [init_image]
      _lowercase							      =num_samples * [mask_image]
      _lowercase      ,    _lowercase      ,    _lowercase							      =pipeline.prepare_inputs(UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase       )

      # shard inputs and rng
      _lowercase							      =replicate(UpperCAmelCase       )
      _lowercase							      =jax.random.split(UpperCAmelCase		,     jax.device_count()       )
      _lowercase							      =shard(UpperCAmelCase       )
      _lowercase							      =shard(UpperCAmelCase       )
      _lowercase							      =shard(UpperCAmelCase       )

      _lowercase							      =pipeline(
          UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase		,     jit=UpperCAmelCase       )

      _lowercase							      =output.images.reshape(UpperCAmelCase		,     5_1_2		,     5_1_2		,     3       )

      _lowercase							      =images[0, 2_5_3:2_5_6, 2_5_3:2_5_6, -1]

      _lowercase							      =jnp.asarray(jax.device_get(image_slice.flatten()       )       )
      _lowercase							      =jnp.array(
          [0.361_1307, 0.3764_9736, 0.375_7408, 0.3821_3953, 0.3929_5167, 0.384_1631, 0.4155_4978, 0.413_7475, 0.421_7084]       )
      print(f"output_slice: {output_slice}"       )
      assert jnp.abs(output_slice - expected_slice       ).max() < 1e-2

