'''simple docstring'''

import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)





class 							lowercase						(						unittest.TestCase ):


   def __UpperCAmelCase       (   self				:	Union[str, Any])      ->					int:
         lowercase_     =      ["a", "b", "c"]

         # Defaults to last layer if both are None
         lowercase_ ,							lowercase_     =      get_aligned_output_features_output_indices(__lowerCAmelCase   ,		__lowerCAmelCase   ,		__lowerCAmelCase)
         self.assertEqual(__lowerCAmelCase   ,		["c"])
         self.assertEqual(__lowerCAmelCase   ,		[2])

         # Out indices set to match out features
         lowercase_ ,							lowercase_     =      get_aligned_output_features_output_indices(["a", "c"]   ,		__lowerCAmelCase   ,		__lowerCAmelCase)
         self.assertEqual(__lowerCAmelCase   ,		["a", "c"])
         self.assertEqual(__lowerCAmelCase   ,		[0, 2])

         # Out features set to match out indices
         lowercase_ ,							lowercase_     =      get_aligned_output_features_output_indices(__lowerCAmelCase   ,		[0, 2]   ,		__lowerCAmelCase)
         self.assertEqual(__lowerCAmelCase   ,		["a", "c"])
         self.assertEqual(__lowerCAmelCase   ,		[0, 2])

         # Out features selected from negative indices
         lowercase_ ,							lowercase_     =      get_aligned_output_features_output_indices(__lowerCAmelCase   ,		[-3, -1]   ,		__lowerCAmelCase)
         self.assertEqual(__lowerCAmelCase   ,		["a", "c"])
         self.assertEqual(__lowerCAmelCase   ,		[-3, -1])


   def __UpperCAmelCase       (   self				:	Optional[Any])      ->					List[str]:

         with self.assertRaises(__lowerCAmelCase):
               verify_out_features_out_indices(["a", "b"]   ,		(0, 1)   ,		__lowerCAmelCase)

         # Out features must be a list
         with self.assertRaises(__lowerCAmelCase):
               verify_out_features_out_indices(("a", "b")   ,		(0, 1)   ,		["a", "b"])

         # Out features must be a subset of stage names
         with self.assertRaises(__lowerCAmelCase):
               verify_out_features_out_indices(["a", "b"]   ,		(0, 1)   ,		["a"])

         # Out indices must be a list or tuple
         with self.assertRaises(__lowerCAmelCase):
               verify_out_features_out_indices(__lowerCAmelCase   ,		0   ,		["a", "b"])

         # Out indices must be a subset of stage names
         with self.assertRaises(__lowerCAmelCase):
               verify_out_features_out_indices(__lowerCAmelCase   ,		(0, 1)   ,		["a"])

         # Out features and out indices must be the same length
         with self.assertRaises(__lowerCAmelCase):
               verify_out_features_out_indices(["a", "b"]   ,		(0,)   ,		["a", "b", "c"])

         # Out features should match out indices
         with self.assertRaises(__lowerCAmelCase):
               verify_out_features_out_indices(["a", "b"]   ,		(0, 2)   ,		["a", "b", "c"])

         # Out features and out indices should be in order
         with self.assertRaises(__lowerCAmelCase):
               verify_out_features_out_indices(["b", "a"]   ,		(0, 1)   ,		["a", "b"])

         # Check passes with valid inputs
         verify_out_features_out_indices(["a", "b", "d"]   ,		(0, 1, -1)   ,		["a", "b", "c", "d"])


   def __UpperCAmelCase       (   self				:	Union[str, Any])      ->					Optional[Any]:
         lowercase_     =      BackboneMixin()

         lowercase_     =      ["a", "b", "c"]
         lowercase_     =      ["a", "c"]
         lowercase_     =      [0, 2]

         # Check that the output features and indices are set correctly
         self.assertEqual(backbone.out_features   ,		["a", "c"])
         self.assertEqual(backbone.out_indices   ,		[0, 2])

         # Check out features and indices are updated correctly
         lowercase_     =      ["a", "b"]
         self.assertEqual(backbone.out_features   ,		["a", "b"])
         self.assertEqual(backbone.out_indices   ,		[0, 1])

         lowercase_     =      [-3, -1]
         self.assertEqual(backbone.out_features   ,		["a", "c"])
         self.assertEqual(backbone.out_indices   ,		[-3, -1])







'''simple docstring'''

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 							lowercase						(						unittest.TestCase ):


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


   def __UpperCAmelCase       (   self				:	Dict)      ->					Any:
         lowercase_ ,							lowercase_     =      FlaxControlNetModel.from_pretrained(
             "lllyasviel/sd-controlnet-canny"   ,		from_pt=__lowerCAmelCase   ,		dtype=jnp.bfloataa)
         lowercase_ ,							lowercase_     =      FlaxStableDiffusionControlNetPipeline.from_pretrained(
             "runwayml/stable-diffusion-v1-5"   ,		controlnet=__lowerCAmelCase   ,		from_pt=__lowerCAmelCase   ,		dtype=jnp.bfloataa)
         lowercase_     =      controlnet_params

         lowercase_     =      "bird"
         lowercase_     =      jax.device_count()
         lowercase_     =      pipe.prepare_text_inputs([prompts] * num_samples)

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

         lowercase_     =      jax.random.PRNGKey(0)
         lowercase_     =      jax.random.split(__lowerCAmelCase   ,		jax.device_count())

         lowercase_     =      replicate(__lowerCAmelCase)
         lowercase_     =      shard(__lowerCAmelCase)
         lowercase_     =      shard(__lowerCAmelCase)

         lowercase_     =      pipe(
             prompt_ids=__lowerCAmelCase   ,		image=__lowerCAmelCase   ,		params=__lowerCAmelCase   ,		prng_seed=__lowerCAmelCase   ,		num_inference_steps=50   ,		jit=__lowerCAmelCase   ,		).images
         assert images.shape == (jax.device_count(), 1, 768, 512, 3)

         lowercase_     =      images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:])
         lowercase_     =      images[0, 253:256, 253:256, -1]

         lowercase_     =      jnp.asarray(jax.device_get(image_slice.flatten()))
         lowercase_     =      jnp.array(
             [0.16_7969, 0.11_6699, 0.08_1543, 0.15_4297, 0.13_2812, 0.10_8887, 0.16_9922, 0.16_9922, 0.20_5078])
         print(F'output_slice: {output_slice}')
         assert jnp.abs(output_slice - expected_slice).max() < 1e-2


   def __UpperCAmelCase       (   self				:	Tuple)      ->					List[str]:
         lowercase_ ,							lowercase_     =      FlaxControlNetModel.from_pretrained(
             "lllyasviel/sd-controlnet-openpose"   ,		from_pt=__lowerCAmelCase   ,		dtype=jnp.bfloataa)
         lowercase_ ,							lowercase_     =      FlaxStableDiffusionControlNetPipeline.from_pretrained(
             "runwayml/stable-diffusion-v1-5"   ,		controlnet=__lowerCAmelCase   ,		from_pt=__lowerCAmelCase   ,		dtype=jnp.bfloataa)
         lowercase_     =      controlnet_params

         lowercase_     =      "Chef in the kitchen"
         lowercase_     =      jax.device_count()
         lowercase_     =      pipe.prepare_text_inputs([prompts] * num_samples)

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

         lowercase_     =      jax.random.PRNGKey(0)
         lowercase_     =      jax.random.split(__lowerCAmelCase   ,		jax.device_count())

         lowercase_     =      replicate(__lowerCAmelCase)
         lowercase_     =      shard(__lowerCAmelCase)
         lowercase_     =      shard(__lowerCAmelCase)

         lowercase_     =      pipe(
             prompt_ids=__lowerCAmelCase   ,		image=__lowerCAmelCase   ,		params=__lowerCAmelCase   ,		prng_seed=__lowerCAmelCase   ,		num_inference_steps=50   ,		jit=__lowerCAmelCase   ,		).images
         assert images.shape == (jax.device_count(), 1, 768, 512, 3)

         lowercase_     =      images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:])
         lowercase_     =      images[0, 253:256, 253:256, -1]

         lowercase_     =      jnp.asarray(jax.device_get(image_slice.flatten()))
         lowercase_     =      jnp.array(
             [[0.27_1484, 0.26_1719, 0.27_5391, 0.27_7344, 0.27_9297, 0.29_1016, 0.29_4922, 0.30_2734, 0.30_2734]])
         print(F'output_slice: {output_slice}')
         assert jnp.abs(output_slice - expected_slice).max() < 1e-2






