

import gc
import unittest

from diffusers import FlaxDPMSolverMultistepScheduler, FlaxStableDiffusionPipeline
from diffusers.utils import is_flax_available, 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 						_A     (				unittest.TestCase				):





  '''simple docstring'''



  def    snake_case_       (  self    ):

      '''simple docstring'''
      # clean up the VRAM after each test
      super().tearDown()
      gc.collect()





  def    snake_case_       (  self    ):

      '''simple docstring'''
      snake_case      ,		snake_case							:		Tuple        =		FlaxStableDiffusionPipeline.from_pretrained(
          """stabilityai/stable-diffusion-2"""   ,revision="""bf16"""   ,dtype=jnp.bfloataa   ,)

      snake_case							:		int        =		"""A painting of a squirrel eating a burger"""
      snake_case							:		Dict        =		jax.device_count()
      snake_case							:		Optional[Any]        =		num_samples * [prompt]
      snake_case							:		Any        =		sd_pipe.prepare_inputs(SCREAMING_SNAKE_CASE_    )

      snake_case							:		List[str]        =		replicate(SCREAMING_SNAKE_CASE_    )
      snake_case							:		List[Any]        =		shard(SCREAMING_SNAKE_CASE_    )

      snake_case							:		Any        =		jax.random.PRNGKey(0    )
      snake_case							:		List[Any]        =		jax.random.split(SCREAMING_SNAKE_CASE_   ,jax.device_count()    )

      snake_case							:		Dict        =		sd_pipe(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_   ,num_inference_steps=25   ,jit=SCREAMING_SNAKE_CASE_    )[0]
      assert images.shape == (jax.device_count(), 1, 768, 768, 3)

      snake_case							:		Optional[int]        =		images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]    )
      snake_case							:		Union[str, Any]        =		images[0, 253:256, 253:256, -1]

      snake_case							:		List[Any]        =		jnp.asarray(jax.device_get(image_slice.flatten()    )    )
      snake_case							:		Tuple        =		jnp.array([0.42_38, 0.44_14, 0.43_95, 0.44_53, 0.46_29, 0.45_90, 0.45_31, 0.4_55_08, 0.45_12]    )
      print(F"""output_slice: {output_slice}"""    )
      assert jnp.abs(output_slice - expected_slice    ).max() < 1E-2





  def    snake_case_       (  self    ):

      '''simple docstring'''
      snake_case							:		Dict        =		"""stabilityai/stable-diffusion-2"""
      snake_case      ,		snake_case							:		str        =		FlaxDPMSolverMultistepScheduler.from_pretrained(SCREAMING_SNAKE_CASE_   ,subfolder="""scheduler"""    )
      snake_case      ,		snake_case							:		List[Any]        =		FlaxStableDiffusionPipeline.from_pretrained(
          SCREAMING_SNAKE_CASE_   ,scheduler=SCREAMING_SNAKE_CASE_   ,revision="""bf16"""   ,dtype=jnp.bfloataa   ,)
      snake_case							:		int        =		scheduler_params

      snake_case							:		int        =		"""A painting of a squirrel eating a burger"""
      snake_case							:		int        =		jax.device_count()
      snake_case							:		List[str]        =		num_samples * [prompt]
      snake_case							:		Union[str, Any]        =		sd_pipe.prepare_inputs(SCREAMING_SNAKE_CASE_    )

      snake_case							:		Optional[Any]        =		replicate(SCREAMING_SNAKE_CASE_    )
      snake_case							:		Any        =		shard(SCREAMING_SNAKE_CASE_    )

      snake_case							:		Optional[int]        =		jax.random.PRNGKey(0    )
      snake_case							:		List[Any]        =		jax.random.split(SCREAMING_SNAKE_CASE_   ,jax.device_count()    )

      snake_case							:		Tuple        =		sd_pipe(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_   ,num_inference_steps=25   ,jit=SCREAMING_SNAKE_CASE_    )[0]
      assert images.shape == (jax.device_count(), 1, 768, 768, 3)

      snake_case							:		List[Any]        =		images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]    )
      snake_case							:		str        =		images[0, 253:256, 253:256, -1]

      snake_case							:		List[Any]        =		jnp.asarray(jax.device_get(image_slice.flatten()    )    )
      snake_case							:		Union[str, Any]        =		jnp.array([0.43_36, 0.4_29_69, 0.44_53, 0.41_99, 0.42_97, 0.45_31, 0.44_34, 0.44_34, 0.42_97]    )
      print(F"""output_slice: {output_slice}"""    )
      assert jnp.abs(output_slice - expected_slice    ).max() < 1E-2





import secrets
from random import shuffle
from string import ascii_letters, ascii_lowercase, ascii_uppercase, digits, punctuation
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     int = 8				)			->						str:
       SCREAMING_SNAKE_CASE_							:				str		=ascii_letters + digits + punctuation
       return "".join(secrets.choice(UpperCAmelCase_				) for _ in range(UpperCAmelCase_				)				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     str			,							UpperCAmelCase_	:     int				)			->						str:
       # Password Generator = full boot with random_number, random_letters, and
       # random_character FUNCTIONS
       # Put your code here...
       i -= len(UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				Any		=i // 3
       SCREAMING_SNAKE_CASE_							:				Optional[Any]		=i % 3
       # chars = chars_incl + random_letters(ascii_letters, i / 3 + remainder) +
       #     random_number(digits, i / 3) + random_characters(punctuation, i / 3)
       SCREAMING_SNAKE_CASE_							:				int		=(
           chars_incl
           + random(UpperCAmelCase_			,							quotient + remainder				)
           + random(UpperCAmelCase_			,							UpperCAmelCase_				)
           + random(UpperCAmelCase_			,							UpperCAmelCase_				)
       )
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=list(UpperCAmelCase_				)
       shuffle(UpperCAmelCase_				)
       return "".join(UpperCAmelCase_				)

       # random is a generalised function for letters, characters and numbers
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     str			,							UpperCAmelCase_	:     int				)			->						str:
       return "".join(secrets.choice(UpperCAmelCase_				) for _ in range(UpperCAmelCase_				)				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Tuple			,							UpperCAmelCase_	:     Tuple				)			->						Optional[int]:
       pass  # Put your code here...
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Optional[Any]			,							UpperCAmelCase_	:     Tuple				)			->						Dict:
       pass  # Put your code here...
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Dict			,							UpperCAmelCase_	:     List[str]				)			->						Optional[int]:
       pass  # Put your code here...
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     str			,							UpperCAmelCase_	:     int = 8				)			->						bool:

       if len(UpperCAmelCase_				) < min_length:
              # Your Password must be at least 8 characters long
              return False

       SCREAMING_SNAKE_CASE_							:				List[str]		=any(char in ascii_uppercase for char in password				)
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=any(char in ascii_lowercase for char in password				)
       SCREAMING_SNAKE_CASE_							:				List[Any]		=any(char in digits for char in password				)
       SCREAMING_SNAKE_CASE_							:				str		=any(char in punctuation for char in password				)

       return upper and lower and num and spec_char
       # Passwords should contain UPPERCASE, lowerase
       # numbers, and special characters
def 							SCREAMING_SNAKE_CASE_	(					)			->						Optional[int]:
       SCREAMING_SNAKE_CASE_							:				Any		=int(input('''Please indicate the max length of your password: '''				).strip()				)
       SCREAMING_SNAKE_CASE_							:				Any		=input(
           '''Please indicate the characters that must be in your password: '''				).strip()
       print('''Password generated:'''			,							password_generator(UpperCAmelCase_				)				)
       print(
           '''Alternative Password generated:'''			,							alternative_password_generator(UpperCAmelCase_			,							UpperCAmelCase_				)			,							)
       print('''[If you are thinking of using this passsword, You better save it.]'''				)


if __name__ == "__main__":
 main()
