






"""simple docstring"""
import itertools
import string
from collections.abc import Generator, Iterable

def 				snake_case      (   A__	,A__						):
			UpperCAmelCase_     : int			     =					iter(A__						)
			while True:
						UpperCAmelCase_     : Union[str, Any]			     =					tuple(itertools.islice(A__	,A__						)						)
						if not chunk:
									return
						yield chunk

def 				snake_case      (   A__						):
			UpperCAmelCase_     : Union[str, Any]			     =					"".join([c.upper() for c in dirty if c in string.ascii_letters]						)
			UpperCAmelCase_     : Tuple			     =					""

			if len(A__						) < 2:
						return dirty

			for i in range(len(A__						) - 1						):
						clean += dirty[i]

						if dirty[i] == dirty[i + 1]:
									clean += "X"

			clean += dirty[-1]

			if len(A__						) & 1:
						clean += "X"

			return clean

def 				snake_case      (   A__						):
			# I and J are used interchangeably to allow
			# us to use a 5x5 table (25 letters)
			UpperCAmelCase_     : Any			     =					"ABCDEFGHIKLMNOPQRSTUVWXYZ"
			# we're using a list instead of a '2d' array because it makes the math
			# for setting up the table and doing the actual encoding/decoding simpler
			UpperCAmelCase_     : Union[str, Any]			     =					[]

			# copy key chars into the table if they are in `alphabet` ignoring duplicates
			for char in key.upper():
						if char not in table and char in alphabet:
									table.append(A__						)

    # fill the rest of the table in with the remaining alphabet chars
			for char in alphabet:
						if char not in table:
									table.append(A__						)

			return table

def 				snake_case      (   A__	,A__						):
			UpperCAmelCase_     : Any			     =					generate_table(A__						)
			UpperCAmelCase_     : Dict			     =					prepare_input(A__						)
			UpperCAmelCase_     : Union[str, Any]			     =					""

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(A__	,2						):
						UpperCAmelCase_     ,	UpperCAmelCase_     : Tuple			     =					divmod(table.index(A__						)	,5						)
						UpperCAmelCase_     ,	UpperCAmelCase_     : Optional[Any]			     =					divmod(table.index(A__						)	,5						)

						if rowa == rowa:
									ciphertext += table[rowa * 5 + (cola + 1) % 5]
									ciphertext += table[rowa * 5 + (cola + 1) % 5]
						elif cola == cola:
									ciphertext += table[((rowa + 1) % 5) * 5 + cola]
									ciphertext += table[((rowa + 1) % 5) * 5 + cola]
						else:  # rectangle
									ciphertext += table[rowa * 5 + cola]
									ciphertext += table[rowa * 5 + cola]

			return ciphertext




def 				snake_case      (   A__	,A__						):
			UpperCAmelCase_     : Any			     =					generate_table(A__						)
			UpperCAmelCase_     : List[str]			     =					""

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(A__	,2						):
						UpperCAmelCase_     ,	UpperCAmelCase_     : List[Any]			     =					divmod(table.index(A__						)	,5						)
						UpperCAmelCase_     ,	UpperCAmelCase_     : Optional[int]			     =					divmod(table.index(A__						)	,5						)

						if rowa == rowa:
									plaintext += table[rowa * 5 + (cola - 1) % 5]
									plaintext += table[rowa * 5 + (cola - 1) % 5]
						elif cola == cola:
									plaintext += table[((rowa - 1) % 5) * 5 + cola]
									plaintext += table[((rowa - 1) % 5) * 5 + cola]
						else:  # rectangle
									plaintext += table[rowa * 5 + cola]
									plaintext += table[rowa * 5 + cola]

			return plaintext











"""simple docstring"""
import torch
from torch import nn
from transformers import CLIPPreTrainedModel, CLIPVisionModel

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


lowerCamelCase_					=      logging.get_logger(__name__)  # pylint: disable=invalid-name







class 			UpperCamelCase_       (__A     ):





	def __init__(      self					: Optional[int]	,	lowerCAmelCase_					: List[Any]	,	lowerCAmelCase_					: Dict=768						)						->			List[Any]:
				super().__init__(lowerCAmelCase_						)
				UpperCAmelCase_     : Dict			     =					proj_size

				UpperCAmelCase_     : Optional[Any]			     =					CLIPVisionModel(lowerCAmelCase_						)
				UpperCAmelCase_     : Tuple			     =					PaintByExampleMapper(lowerCAmelCase_						)
				UpperCAmelCase_     : str			     =					nn.LayerNorm(config.hidden_size						)
				UpperCAmelCase_     : List[Any]			     =					nn.Linear(config.hidden_size	,	self.proj_size						)

				# uncondition for scaling
				UpperCAmelCase_     : Optional[int]			     =					nn.Parameter(torch.randn((1, 1, self.proj_size)						)						)





	def      _SCREAMING_SNAKE_CASE      (      self					: int	,	lowerCAmelCase_					: int	,	lowerCAmelCase_					: Dict=False						)						->			Union[str, Any]:
				UpperCAmelCase_     : Optional[int]			     =					self.model(pixel_values=lowerCAmelCase_						)
				UpperCAmelCase_     : Optional[Any]			     =					clip_output.pooler_output
				UpperCAmelCase_     : List[Any]			     =					self.mapper(latent_states[:, None]						)
				UpperCAmelCase_     : List[str]			     =					self.final_layer_norm(lowerCAmelCase_						)
				UpperCAmelCase_     : Union[str, Any]			     =					self.proj_out(lowerCAmelCase_						)
				if return_uncond_vector:
							return latent_states, self.uncond_vector

				return latent_states







class 			UpperCamelCase_       (nn.Module     ):





	def __init__(      self					: Dict	,	lowerCAmelCase_					: Union[str, Any]						)						->			Tuple:
				super().__init__()
				UpperCAmelCase_     : List[Any]			     =					(config.num_hidden_layers + 1) // 5
				UpperCAmelCase_     : Optional[Any]			     =					config.hidden_size
				UpperCAmelCase_     : List[str]			     =					1
				UpperCAmelCase_     : Union[str, Any]			     =					nn.ModuleList(
				    [
				        BasicTransformerBlock(lowerCAmelCase_	,	lowerCAmelCase_	,	lowerCAmelCase_	,	activation_fn="gelu"	,	attention_bias=lowerCAmelCase_						)
				        for _ in range(lowerCAmelCase_						)
				    ]						)





	def      _SCREAMING_SNAKE_CASE      (      self					: List[str]	,	lowerCAmelCase_					: List[str]						)						->			str:
				for block in self.blocks:
							UpperCAmelCase_     : int			     =					block(lowerCAmelCase_						)

				return hidden_states



