


def _lowerCamelCase			(	_UpperCamelCase					,				_UpperCamelCase   ):

			'''simple docstring'''




			__lowerCAmelCase       					=    0
			__lowerCAmelCase       					=    len(snake_case_   ) - 1

			while left <= right:
						# avoid divided by 0 during interpolation
						if sorted_collection[left] == sorted_collection[right]:
									if sorted_collection[left] == item:
												return left
									else:
												return None

						__lowerCAmelCase       					=    left + ((item - sorted_collection[left]) * (right - left)) // (
						    sorted_collection[right] - sorted_collection[left]
						)

						# out of range check
						if point < 0 or point >= len(snake_case_   ):
									return None

						__lowerCAmelCase       					=    sorted_collection[point]
						if current_item == item:
									return point
						else:
									if point < left:
												__lowerCAmelCase       					=    left
												__lowerCAmelCase       					=    point
									elif point > right:
												__lowerCAmelCase       					=    right
												__lowerCAmelCase       					=    point
									else:
												if item < current_item:
															__lowerCAmelCase       					=    point - 1
												else:
															__lowerCAmelCase       					=    point + 1
			return None


def _lowerCamelCase			(	_UpperCamelCase					,				_UpperCamelCase					,				_UpperCamelCase					,				_UpperCamelCase   ):

			'''simple docstring'''




			if sorted_collection[left] == sorted_collection[right]:
						if sorted_collection[left] == item:
									return left
						else:
									return None

			__lowerCAmelCase       					=    left + ((item - sorted_collection[left]) * (right - left)) // (
			    sorted_collection[right] - sorted_collection[left]
			)

			# out of range check
			if point < 0 or point >= len(snake_case_   ):
						return None

			if sorted_collection[point] == item:
						return point
			elif point < left:
						return interpolation_search_by_recursion(snake_case_					,				snake_case_					,				snake_case_					,				snake_case_   )
			elif point > right:
						return interpolation_search_by_recursion(snake_case_					,				snake_case_					,				snake_case_					,				snake_case_   )
			else:
						if sorted_collection[point] > item:
									return interpolation_search_by_recursion(
									    snake_case_					,				snake_case_					,				snake_case_					,				point - 1   )
						else:
									return interpolation_search_by_recursion(
									    snake_case_					,				snake_case_					,				point + 1					,				snake_case_   )


def _lowerCamelCase			(	_UpperCamelCase   ):

			'''simple docstring'''




			if collection != sorted(snake_case_   ):
						raise ValueError("Collection must be ascending sorted"   )
			return True


if __name__ == "__main__":
	import sys
	A  :     Optional[Any]    					=    0
	if debug == 1:
		A  :     List[str]    					=    [1_0, 3_0, 4_0, 4_5, 5_0, 6_6, 7_7, 9_3]
		try:
			__assert_sorted(collection)
		except ValueError:
			sys.exit("Sequence must be ascending sorted to apply interpolation search")
		A  :     Union[str, Any]    					=    6_7

	A  :     List[str]    					=    interpolation_search(collection, target)
	if result is not None:
		print(f'''{target} found at positions: {result}''')
	else:
		print("Not found")








"""simple docstring"""


import torch
from torch import nn
from transformers import CLIPPreTrainedModel, CLIPVisionModel

from ...models.attention import BasicTransformerBlock
from ...utils import logging


A  :     Dict    					=    logging.get_logger(__name__)  # pylint: disable=invalid-name
class 						_UpperCamelCase						(     lowerCAmelCase__	):
							'''simple docstring'''







							def __init__(  self					,     __a					,     __a=7_68			):
										super().__init__(__a			)
										__lowerCAmelCase       					=    proj_size

										__lowerCAmelCase       					=    CLIPVisionModel(__a			)
										__lowerCAmelCase       					=    PaintByExampleMapper(__a			)
										__lowerCAmelCase       					=    nn.LayerNorm(config.hidden_size			)
										__lowerCAmelCase       					=    nn.Linear(config.hidden_size					,     self.proj_size			)

										# uncondition for scaling
										__lowerCAmelCase       					=    nn.Parameter(torch.randn((1, 1, self.proj_size)			)			)



							def     snake_case       (  self					,     __a					,     __a=False			):
										__lowerCAmelCase       					=    self.model(pixel_values=__a			)
										__lowerCAmelCase       					=    clip_output.pooler_output
										__lowerCAmelCase       					=    self.mapper(latent_states[:, None]			)
										__lowerCAmelCase       					=    self.final_layer_norm(__a			)
										__lowerCAmelCase       					=    self.proj_out(__a			)
										if return_uncond_vector:
													return latent_states, self.uncond_vector

										return latent_states
class 						_UpperCamelCase						(     nn.Module	):
							'''simple docstring'''







							def __init__(  self					,     __a			):
										super().__init__()
										__lowerCAmelCase       					=    (config.num_hidden_layers + 1) // 5
										__lowerCAmelCase       					=    config.hidden_size
										__lowerCAmelCase       					=    1
										__lowerCAmelCase       					=    nn.ModuleList(
										    [
										        BasicTransformerBlock(__a					,     __a					,     __a					,     activation_fn="gelu"					,     attention_bias=__a			)
										        for _ in range(__a			)
										    ]			)



							def     snake_case       (  self					,     __a			):
										for block in self.blocks:
													__lowerCAmelCase       					=    block(__a			)

										return hidden_states




