






"""simple docstring"""



from collections.abc import Sequence
from queue import Queue




class 			lowerCAmelCase__			:
   def __init__(		self      :	Union[str, Any]							,			snake_case__      :	Tuple							,			snake_case__      :	Optional[Any]							,			snake_case__      :	Tuple							,			snake_case__      :	int=None							,			snake_case__      :	str=None							):


        '''simple docstring'''
        UpperCAmelCase__						:    Tuple							=							start
        UpperCAmelCase__						:    str							=							end
        UpperCAmelCase__						:    Optional[int]							=							val
        UpperCAmelCase__						:    List[str]							=							(start + end) // 2
        UpperCAmelCase__						:    Tuple							=							left
        UpperCAmelCase__						:    List[str]							=							right




   def __repr__(		self      :	Tuple							):


        '''simple docstring'''
        return f'SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'




class 			lowerCAmelCase__			:
   def __init__(		self      :	List[Any]							,			snake_case__      :	Sequence							,			snake_case__      :	Optional[Any]							):


        '''simple docstring'''
        UpperCAmelCase__						:    List[Any]							=							collection
        UpperCAmelCase__						:    Optional[int]							=							function
        if self.collection:
             UpperCAmelCase__						:    Optional[int]							=							self._build_tree(0							,			len(snake_case__							) - 1							)
   def       __a							(		self      :	Optional[int]							,			snake_case__      :	Union[str, Any]							,			snake_case__      :	Union[str, Any]							):


        '''simple docstring'''
        self._update_tree(self.root							,			snake_case__							,			snake_case__							)
   def       __a							(		self      :	Dict							,			snake_case__      :	Tuple							,			snake_case__      :	Optional[Any]							):


        '''simple docstring'''
        return self._query_range(self.root							,			snake_case__							,			snake_case__							)
   def       __a							(		self      :	Optional[int]							,			snake_case__      :	List[Any]							,			snake_case__      :	List[str]							):


        '''simple docstring'''
        if start == end:
             return SegmentTreeNode(snake_case__							,			snake_case__							,			self.collection[start]							)
        UpperCAmelCase__						:    List[str]							=							(start + end) // 2
        UpperCAmelCase__						:    Optional[Any]							=							self._build_tree(snake_case__							,			snake_case__							)
        UpperCAmelCase__						:    str							=							self._build_tree(mid + 1							,			snake_case__							)
        return SegmentTreeNode(snake_case__							,			snake_case__							,			self.fn(left.val							,			right.val							)							,			snake_case__							,			snake_case__							)
   def       __a							(		self      :	List[Any]							,			snake_case__      :	Optional[int]							,			snake_case__      :	Union[str, Any]							,			snake_case__      :	Optional[int]							):


        '''simple docstring'''
        if node.start == i and node.end == i:
             UpperCAmelCase__						:    int							=							val
             return
        if i <= node.mid:
             self._update_tree(node.left							,			snake_case__							,			snake_case__							)
        else:
             self._update_tree(node.right							,			snake_case__							,			snake_case__							)
        UpperCAmelCase__						:    Optional[int]							=							self.fn(node.left.val							,			node.right.val							)
   def       __a							(		self      :	Tuple							,			snake_case__      :	List[str]							,			snake_case__      :	Optional[int]							,			snake_case__      :	Optional[int]							):


        '''simple docstring'''
        if node.start == i and node.end == j:
             return node.val

        if i <= node.mid:
             if j <= node.mid:
                  # range in left child tree
                  return self._query_range(node.left							,			snake_case__							,			snake_case__							)
             else:
                  # range in left child tree and right child tree
                  return self.fn(
                      self._query_range(node.left							,			snake_case__							,			node.mid							)							,			self._query_range(node.right							,			node.mid + 1							,			snake_case__							)							,			)
        else:
             # range in right child tree
             return self._query_range(node.right							,			snake_case__							,			snake_case__							)




   def       __a							(		self      :	Tuple							):


        '''simple docstring'''
        if self.root is not None:
             UpperCAmelCase__						:    Optional[int]							=							Queue()
             queue.put(self.root							)
             while not queue.empty():
                  UpperCAmelCase__						:    str							=							queue.get()
                  yield node

                  if node.left is not None:
                       queue.put(node.left							)

                  if node.right is not None:
                       queue.put(node.right							)


if __name__ == "__main__":
 import operator

 for fn in [operator.add, max, min]:
  print("""*""" * 50)
  _lowerCAmelCase	:	Dict				=      SegmentTree([2, 1, 5, 3, 4], fn)
  for node in arr.traverse():
   print(node)
  print()

  arr.update(1, 5)
  for node in arr.traverse():
   print(node)
  print()

  print(arr.query_range(3, 4))  # 7
  print(arr.query_range(2, 2))  # 5
  print(arr.query_range(1, 3))  # 13
  print()










"""simple docstring"""



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      :	Optional[int]							):


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




   def       __a							(		self      :	List[str]							):


        '''simple docstring'''
        UpperCAmelCase__						:    Optional[int]							=							load_image(
            "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
            "/sd2-inpaint/init_image.png"							)
        UpperCAmelCase__						:    Any							=							load_image(
            "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png"							)

        UpperCAmelCase__						:    str							=							"xvjiarui/stable-diffusion-2-inpainting"
        UpperCAmelCase__							,				UpperCAmelCase__						:    List[Any]							=							FlaxStableDiffusionInpaintPipeline.from_pretrained(snake_case__							,			safety_checker=snake_case__							)

        UpperCAmelCase__						:    List[str]							=							"Face of a yellow cat, high resolution, sitting on a park bench"

        UpperCAmelCase__						:    List[str]							=							jax.random.PRNGKey(0							)
        UpperCAmelCase__						:    Optional[int]							=							5_0

        UpperCAmelCase__						:    List[Any]							=							jax.device_count()
        UpperCAmelCase__						:    int							=							num_samples * [prompt]
        UpperCAmelCase__						:    str							=							num_samples * [init_image]
        UpperCAmelCase__						:    Optional[Any]							=							num_samples * [mask_image]
        UpperCAmelCase__							,				UpperCAmelCase__							,				UpperCAmelCase__						:    Optional[int]							=							pipeline.prepare_inputs(snake_case__							,			snake_case__							,			snake_case__							)

        # shard inputs and rng
        UpperCAmelCase__						:    Dict							=							replicate(snake_case__							)
        UpperCAmelCase__						:    Dict							=							jax.random.split(snake_case__							,			jax.device_count()							)
        UpperCAmelCase__						:    List[str]							=							shard(snake_case__							)
        UpperCAmelCase__						:    str							=							shard(snake_case__							)
        UpperCAmelCase__						:    Optional[int]							=							shard(snake_case__							)

        UpperCAmelCase__						:    Dict							=							pipeline(
            snake_case__							,			snake_case__							,			snake_case__							,			snake_case__							,			snake_case__							,			snake_case__							,			jit=snake_case__							)

        UpperCAmelCase__						:    List[str]							=							output.images.reshape(snake_case__							,			5_1_2							,			5_1_2							,			3							)

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

        UpperCAmelCase__						:    str							=							jnp.asarray(jax.device_get(image_slice.flatten()							)							)
        UpperCAmelCase__						:    int							=							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


