






from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter





def 					lowercase_ (    __snake_case     :							int	,	__snake_case     :							int	,	__snake_case     :							float = 1 / sqrt(2      )      )     -> Optional[Any]:





    '''simple docstring'''


    snake_case__      :Optional[int]         =   tau * frequency / samplerate
    snake_case__      :Dict         =   sin(_lowerCamelCase      )
    snake_case__      :Optional[int]         =   cos(_lowerCamelCase      )
    snake_case__      :int         =   _sin / (2 * q_factor)

    snake_case__      :List[Any]         =   (1 - _cos) / 2
    snake_case__      :Dict         =   1 - _cos

    snake_case__      :Optional[int]         =   1 + alpha
    snake_case__      :List[str]         =   -2 * _cos
    snake_case__      :Optional[Any]         =   1 - alpha

    snake_case__      :Optional[Any]         =   IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]	,	[ba, ba, ba]      )
    return filt





def 					lowercase_ (    __snake_case     :							int	,	__snake_case     :							int	,	__snake_case     :							float = 1 / sqrt(2      )      )     -> List[Any]:





    '''simple docstring'''


    snake_case__      :str         =   tau * frequency / samplerate
    snake_case__      :Optional[Any]         =   sin(_lowerCamelCase      )
    snake_case__      :List[str]         =   cos(_lowerCamelCase      )
    snake_case__      :Any         =   _sin / (2 * q_factor)

    snake_case__      :Optional[int]         =   (1 + _cos) / 2
    snake_case__      :int         =   -1 - _cos

    snake_case__      :Optional[Any]         =   1 + alpha
    snake_case__      :int         =   -2 * _cos
    snake_case__      :str         =   1 - alpha

    snake_case__      :Tuple         =   IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]	,	[ba, ba, ba]      )
    return filt





def 					lowercase_ (    __snake_case     :							int	,	__snake_case     :							int	,	__snake_case     :							float = 1 / sqrt(2      )      )     -> List[str]:





    '''simple docstring'''


    snake_case__      :Any         =   tau * frequency / samplerate
    snake_case__      :List[Any]         =   sin(_lowerCamelCase      )
    snake_case__      :Union[str, Any]         =   cos(_lowerCamelCase      )
    snake_case__      :List[str]         =   _sin / (2 * q_factor)

    snake_case__      :List[str]         =   _sin / 2
    snake_case__      :str         =   0
    snake_case__      :int         =   -ba

    snake_case__      :List[str]         =   1 + alpha
    snake_case__      :Any         =   -2 * _cos
    snake_case__      :Optional[Any]         =   1 - alpha

    snake_case__      :List[str]         =   IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]	,	[ba, ba, ba]      )
    return filt





def 					lowercase_ (    __snake_case     :							int	,	__snake_case     :							int	,	__snake_case     :							float = 1 / sqrt(2      )      )     -> Optional[Any]:





    '''simple docstring'''


    snake_case__      :Optional[int]         =   tau * frequency / samplerate
    snake_case__      :List[Any]         =   sin(_lowerCamelCase      )
    snake_case__      :Dict         =   cos(_lowerCamelCase      )
    snake_case__      :Optional[int]         =   _sin / (2 * q_factor)

    snake_case__      :List[str]         =   1 - alpha
    snake_case__      :Any         =   -2 * _cos
    snake_case__      :Tuple         =   1 + alpha

    snake_case__      :str         =   IIRFilter(2      )
    filt.set_coefficients([ba, ba, ba]	,	[ba, ba, ba]      )
    return filt





def 					lowercase_ (    __snake_case     :							int	,	__snake_case     :							int	,	__snake_case     :							float	,	__snake_case     :							float = 1 / sqrt(2      )	,	)     -> Tuple:





    '''simple docstring'''


    snake_case__      :Union[str, Any]         =   tau * frequency / samplerate
    snake_case__      :Optional[Any]         =   sin(_lowerCamelCase      )
    snake_case__      :str         =   cos(_lowerCamelCase      )
    snake_case__      :Any         =   _sin / (2 * q_factor)
    snake_case__      :Any         =   10 ** (gain_db / 40)

    snake_case__      :str         =   1 + alpha * big_a
    snake_case__      :str         =   -2 * _cos
    snake_case__      :Optional[int]         =   1 - alpha * big_a
    snake_case__      :Optional[int]         =   1 + alpha / big_a
    snake_case__      :str         =   -2 * _cos
    snake_case__      :Tuple         =   1 - alpha / big_a

    snake_case__      :Tuple         =   IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]	,	[ba, ba, ba]      )
    return filt





def 					lowercase_ (    __snake_case     :							int	,	__snake_case     :							int	,	__snake_case     :							float	,	__snake_case     :							float = 1 / sqrt(2      )	,	)     -> Dict:





    '''simple docstring'''


    snake_case__      :Union[str, Any]         =   tau * frequency / samplerate
    snake_case__      :str         =   sin(_lowerCamelCase      )
    snake_case__      :List[Any]         =   cos(_lowerCamelCase      )
    snake_case__      :Dict         =   _sin / (2 * q_factor)
    snake_case__      :Any         =   10 ** (gain_db / 40)
    snake_case__      :int         =   (big_a + 1) - (big_a - 1) * _cos
    snake_case__      :str         =   (big_a + 1) + (big_a - 1) * _cos
    snake_case__      :Union[str, Any]         =   (big_a - 1) - (big_a + 1) * _cos
    snake_case__      :Dict         =   (big_a - 1) + (big_a + 1) * _cos
    snake_case__      :int         =   2 * sqrt(_lowerCamelCase      ) * alpha

    snake_case__      :str         =   big_a * (pmc + aaa)
    snake_case__      :Optional[int]         =   2 * big_a * mpc
    snake_case__      :Optional[int]         =   big_a * (pmc - aaa)
    snake_case__      :Optional[int]         =   ppmc + aaa
    snake_case__      :List[Any]         =   -2 * pmpc
    snake_case__      :List[str]         =   ppmc - aaa

    snake_case__      :Dict         =   IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]	,	[ba, ba, ba]      )
    return filt





def 					lowercase_ (    __snake_case     :							int	,	__snake_case     :							int	,	__snake_case     :							float	,	__snake_case     :							float = 1 / sqrt(2      )	,	)     -> Any:





    '''simple docstring'''


    snake_case__      :str         =   tau * frequency / samplerate
    snake_case__      :Dict         =   sin(_lowerCamelCase      )
    snake_case__      :List[str]         =   cos(_lowerCamelCase      )
    snake_case__      :Tuple         =   _sin / (2 * q_factor)
    snake_case__      :Optional[int]         =   10 ** (gain_db / 40)
    snake_case__      :str         =   (big_a + 1) - (big_a - 1) * _cos
    snake_case__      :Optional[int]         =   (big_a + 1) + (big_a - 1) * _cos
    snake_case__      :Optional[Any]         =   (big_a - 1) - (big_a + 1) * _cos
    snake_case__      :Dict         =   (big_a - 1) + (big_a + 1) * _cos
    snake_case__      :Optional[Any]         =   2 * sqrt(_lowerCamelCase      ) * alpha

    snake_case__      :Union[str, Any]         =   big_a * (ppmc + aaa)
    snake_case__      :Tuple         =   -2 * big_a * pmpc
    snake_case__      :str         =   big_a * (ppmc - aaa)
    snake_case__      :List[str]         =   pmc + aaa
    snake_case__      :Tuple         =   2 * mpc
    snake_case__      :List[str]         =   pmc - aaa

    snake_case__      :Tuple         =   IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]	,	[ba, ba, ba]      )
    return filt







import gc
import unittest

from diffusers import FlaxControlNetModel, FlaxStableDiffusionControlNetPipeline
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 					_snake_case						(			unittest.TestCase ):






	def    lowerCAmelCase_							(		self       )						->    int:
					# clean up the VRAM after each test
					super().tearDown()
					gc.collect()






	def    lowerCAmelCase_							(		self       )						->    str:
					snake_case__    ,						snake_case__      :Tuple         =   FlaxControlNetModel.from_pretrained(
					    "lllyasviel/sd-controlnet-canny"					,from_pt=UpperCamelCase					,dtype=jnp.bfloataa       )
					snake_case__    ,						snake_case__      :Any         =   FlaxStableDiffusionControlNetPipeline.from_pretrained(
					    "runwayml/stable-diffusion-v1-5"					,controlnet=UpperCamelCase					,from_pt=UpperCamelCase					,dtype=jnp.bfloataa       )
					snake_case__      :List[str]         =   controlnet_params

					snake_case__      :Union[str, Any]         =   "bird"
					snake_case__      :Optional[int]         =   jax.device_count()
					snake_case__      :Tuple         =   pipe.prepare_text_inputs([prompts] * num_samples       )

					snake_case__      :Union[str, Any]         =   load_image(
					    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/bird_canny.png"       )
					snake_case__      :str         =   pipe.prepare_image_inputs([canny_image] * num_samples       )

					snake_case__      :List[str]         =   jax.random.PRNGKey(0       )
					snake_case__      :str         =   jax.random.split(UpperCamelCase					,jax.device_count()       )

					snake_case__      :int         =   replicate(UpperCamelCase       )
					snake_case__      :Any         =   shard(UpperCamelCase       )
					snake_case__      :Any         =   shard(UpperCamelCase       )

					snake_case__      :str         =   pipe(
					    prompt_ids=UpperCamelCase					,image=UpperCamelCase					,params=UpperCamelCase					,prng_seed=UpperCamelCase					,num_inference_steps=50					,jit=UpperCamelCase					,).images
					assert images.shape == (jax.device_count(), 1, 768, 512, 3)

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

					snake_case__      :Union[str, Any]         =   jnp.asarray(jax.device_get(image_slice.flatten()       )       )
					snake_case__      :List[Any]         =   jnp.array(
					    [0.167969, 0.116699, 0.081543, 0.154297, 0.132812, 0.108887, 0.169922, 0.169922, 0.205078]       )
					print(f'output_slice: {output_slice}'       )
					assert jnp.abs(output_slice - expected_slice       ).max() < 1E-2






	def    lowerCAmelCase_							(		self       )						->    Optional[int]:
					snake_case__    ,						snake_case__      :List[str]         =   FlaxControlNetModel.from_pretrained(
					    "lllyasviel/sd-controlnet-openpose"					,from_pt=UpperCamelCase					,dtype=jnp.bfloataa       )
					snake_case__    ,						snake_case__      :Optional[Any]         =   FlaxStableDiffusionControlNetPipeline.from_pretrained(
					    "runwayml/stable-diffusion-v1-5"					,controlnet=UpperCamelCase					,from_pt=UpperCamelCase					,dtype=jnp.bfloataa       )
					snake_case__      :str         =   controlnet_params

					snake_case__      :int         =   "Chef in the kitchen"
					snake_case__      :List[Any]         =   jax.device_count()
					snake_case__      :Dict         =   pipe.prepare_text_inputs([prompts] * num_samples       )

					snake_case__      :Any         =   load_image(
					    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/pose.png"       )
					snake_case__      :Optional[int]         =   pipe.prepare_image_inputs([pose_image] * num_samples       )

					snake_case__      :List[str]         =   jax.random.PRNGKey(0       )
					snake_case__      :Any         =   jax.random.split(UpperCamelCase					,jax.device_count()       )

					snake_case__      :Dict         =   replicate(UpperCamelCase       )
					snake_case__      :Tuple         =   shard(UpperCamelCase       )
					snake_case__      :Optional[int]         =   shard(UpperCamelCase       )

					snake_case__      :Optional[Any]         =   pipe(
					    prompt_ids=UpperCamelCase					,image=UpperCamelCase					,params=UpperCamelCase					,prng_seed=UpperCamelCase					,num_inference_steps=50					,jit=UpperCamelCase					,).images
					assert images.shape == (jax.device_count(), 1, 768, 512, 3)

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

					snake_case__      :Tuple         =   jnp.asarray(jax.device_get(image_slice.flatten()       )       )
					snake_case__      :List[str]         =   jnp.array(
					    [[0.271484, 0.261719, 0.275391, 0.277344, 0.279297, 0.291016, 0.294922, 0.302734, 0.302734]]       )
					print(f'output_slice: {output_slice}'       )
					assert jnp.abs(output_slice - expected_slice       ).max() < 1E-2