






'''simple docstring'''

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

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


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




class      A     (   SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





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

       UpperCamelCase_					: Union[str, Any]            =				CLIPVisionModel(__lowerCAmelCase			)
       UpperCamelCase_					: Optional[int]            =				PaintByExampleMapper(__lowerCAmelCase			)
       UpperCamelCase_					: Optional[int]            =				nn.LayerNorm(config.hidden_size			)
       UpperCamelCase_					: int            =				nn.Linear(config.hidden_size      ,  self.proj_size			)

       # uncondition for scaling
       UpperCamelCase_					: List[str]            =				nn.Parameter(torch.randn((1, 1, self.proj_size)			)			)





 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase=False			):
       UpperCamelCase_					: Any            =				self.model(pixel_values=__lowerCAmelCase			)
       UpperCamelCase_					: str            =				clip_output.pooler_output
       UpperCamelCase_					: str            =				self.mapper(latent_states[:, None]			)
       UpperCamelCase_					: Optional[int]            =				self.final_layer_norm(__lowerCAmelCase			)
       UpperCamelCase_					: Optional[Any]            =				self.proj_out(__lowerCAmelCase			)
       if return_uncond_vector:
             return latent_states, self.uncond_vector

       return latent_states






class      A     (   nn.Module    ):






 """simple docstring"""





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





 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       for block in self.blocks:
             UpperCamelCase_					: Any            =				block(__lowerCAmelCase			)

       return hidden_states














'''simple docstring'''

def 				snake_case       (  a_				:			list[int]     , a_				:			list[int]						)							->					tuple[float, float]:





      """simple docstring"""

      if not len(a_						) == len(a_						) == 3:
            raise ValueError("""Please enter a valid equation."""						)
      if equationa[0] == equationa[1] == equationa[0] == equationa[1] == 0:
            raise ValueError("""Both a & b of two equations can't be zero."""						)

      # Extract the coefficients
      UpperCamelCase_     ,      UpperCamelCase_     ,      UpperCamelCase_					: Optional[int]            =				equationa
      UpperCamelCase_     ,      UpperCamelCase_     ,      UpperCamelCase_					: List[str]            =				equationa

      # Calculate the determinants of the matrices
      UpperCamelCase_					: Union[str, Any]            =				aa * ba - aa * ba
      UpperCamelCase_					: Dict            =				ca * ba - ca * ba
      UpperCamelCase_					: Dict            =				aa * ca - aa * ca

      # Check if the system of linear equations has a solution (using Cramer's rule)
      if determinant == 0:
            if determinant_x == determinant_y == 0:
                  raise ValueError("""Infinite solutions. (Consistent system)"""						)
            else:
                  raise ValueError("""No solution. (Inconsistent system)"""						)
      else:
            if determinant_x == determinant_y == 0:
                  # Trivial solution (Inconsistent system)
                  return (0.0, 0.0)
            else:
                  UpperCamelCase_					: List[Any]            =				determinant_x / determinant
                  UpperCamelCase_					: List[str]            =				determinant_y / determinant
                  # Non-Trivial Solution (Consistent system)
                  return (x, y)






