"""simple docstring"""






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

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


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


class     UpperCAmelCase						(_UpperCAmelCase  ):



    """simple docstring"""

    def __init__(   self    ,			_UpperCAmelCase    ,			_UpperCAmelCase=768							):
       super().__init__(__lowerCamelCase							)
       lowercase__:   Union[str, Any]					=      proj_size

       lowercase__:   List[Any]					=      CLIPVisionModel(__lowerCamelCase							)
       lowercase__:   Dict					=      PaintByExampleMapper(__lowerCamelCase							)
       lowercase__:   Optional[Any]					=      nn.LayerNorm(config.hidden_size							)
       lowercase__:   int					=      nn.Linear(config.hidden_size    ,			self.proj_size							)

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






    def _snake_case			(   self    ,			_UpperCAmelCase    ,			_UpperCAmelCase=False							):
       lowercase__:   Optional[int]					=      self.model(pixel_values=__lowerCamelCase							)
       lowercase__:   Optional[int]					=      clip_output.pooler_output
       lowercase__:   Dict					=      self.mapper(latent_states[:, None]							)
       lowercase__:   List[Any]					=      self.final_layer_norm(__lowerCamelCase							)
       lowercase__:   Dict					=      self.proj_out(__lowerCamelCase							)
       if return_uncond_vector:
          return latent_states, self.uncond_vector

       return latent_states



class     UpperCAmelCase						(nn.Module  ):



    """simple docstring"""

    def __init__(   self    ,			_UpperCAmelCase							):
       super().__init__()
       lowercase__:   Optional[int]					=      (config.num_hidden_layers + 1) // 5
       lowercase__:   Tuple					=      config.hidden_size
       lowercase__:   int					=      1
       lowercase__:   int					=      nn.ModuleList(
           [
               BasicTransformerBlock(__lowerCamelCase    ,			__lowerCamelCase    ,			__lowerCamelCase    ,			activation_fn='''gelu'''    ,			attention_bias=__lowerCamelCase							)
               for _ in range(__lowerCamelCase							)
           ]							)






    def _snake_case			(   self    ,			_UpperCAmelCase							):
       for block in self.blocks:
          lowercase__:   Union[str, Any]					=      block(__lowerCamelCase							)

       return hidden_states




def 							_UpperCAmelCase				(UpperCamelCase__     :  Optional[Any]				,							UpperCamelCase__     :  Union[str, Any]						):
       # "extended trapezoidal rule"
       # int(f) = dx/2 * (f1 + 2f2 + ... + fn)
       _A      :       int				    = (boundary[1] - boundary[0]) / steps
       _A      :       Any				    = boundary[0]
       _A      :       List[Any]				    = boundary[1]
       _A      :       str				    = make_points(UpperCamelCase__				,							UpperCamelCase__				,							UpperCamelCase__						)
       _A      :       str				    = 0.0
       y += (h / 2.0) * f(UpperCamelCase__						)
       for i in x_i:
              # print(i)
              y += h * f(UpperCamelCase__						)
       y += (h / 2.0) * f(UpperCamelCase__						)
       return y
def 							_UpperCAmelCase				(UpperCamelCase__     :  List[str]				,							UpperCamelCase__     :  Optional[int]				,							UpperCamelCase__     :  Any						):
       _A      :       Optional[int]				    = a + h
       while x < (b - h):
              yield x
              _A      :       Dict				    = x + h
def 							_UpperCAmelCase				(UpperCamelCase__     :  Optional[int]						):  # enter your function here
       _A      :       Any				    = (x - 0) * (x - 0)
       return y
def 							_UpperCAmelCase				():
       _A      :       Optional[Any]				    = 0.0  # Lower bound of integration
       _A      :       Optional[int]				    = 1.0  # Upper bound of integration
       _A      :       List[Any]				    = 10.0  # define number of steps or resolution
       _A      :       Any				    = [a, b]  # define boundary of integration
       _A      :       Tuple				    = method_a(UpperCamelCase__				,							UpperCamelCase__						)
       print(f"y = {y}"						)


if __name__ == "__main__":
    main()
