






from dataclasses import dataclass
from typing import Optional

import torch
from torch import nn

from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
from .modeling_utils import ModelMixin





@dataclass
class 					A__     (     __snake_case ):

     '''simple docstring'''






     snake_case__					=					42





class 					A__     (     __snake_case   ,    __snake_case ):

     '''simple docstring'''






     @register_to_config
     def __init__( self      :    List[str]   ,						_SCREAMING_SNAKE_CASE      :    int = 16   ,						_SCREAMING_SNAKE_CASE      :    int = 88   ,						_SCREAMING_SNAKE_CASE      :    Optional[int] = None   ,						_SCREAMING_SNAKE_CASE      :    Optional[int] = None   ,						_SCREAMING_SNAKE_CASE      :    int = 1   ,						_SCREAMING_SNAKE_CASE      :    float = 0.0   ,						_SCREAMING_SNAKE_CASE      :    int = 32   ,						_SCREAMING_SNAKE_CASE      :    Optional[int] = None   ,						_SCREAMING_SNAKE_CASE      :    bool = False   ,						_SCREAMING_SNAKE_CASE      :    Optional[int] = None   ,						_SCREAMING_SNAKE_CASE      :    str = "geglu"   ,						_SCREAMING_SNAKE_CASE      :    bool = True   ,						_SCREAMING_SNAKE_CASE      :    bool = True   ,						):






           """simple docstring"""




           super().__init__()
           UpperCamelCase					       =  num_attention_heads
           UpperCamelCase					       =  attention_head_dim
           UpperCamelCase					       =  num_attention_heads * attention_head_dim

           UpperCamelCase					       =  in_channels

           UpperCamelCase					       =  torch.nn.GroupNorm(num_groups=_SCREAMING_SNAKE_CASE   ,						num_channels=_SCREAMING_SNAKE_CASE   ,						eps=1E-6   ,						affine=_SCREAMING_SNAKE_CASE )
           UpperCamelCase					       =  nn.Linear(_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE )

           # 3. Define transformers blocks
           UpperCamelCase					       =  nn.ModuleList(
               [
                   BasicTransformerBlock(
                       _SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						dropout=_SCREAMING_SNAKE_CASE   ,						cross_attention_dim=_SCREAMING_SNAKE_CASE   ,						activation_fn=_SCREAMING_SNAKE_CASE   ,						attention_bias=_SCREAMING_SNAKE_CASE   ,						double_self_attention=_SCREAMING_SNAKE_CASE   ,						norm_elementwise_affine=_SCREAMING_SNAKE_CASE   ,						)
                   for d in range(_SCREAMING_SNAKE_CASE )
               ] )

           UpperCamelCase					       =  nn.Linear(_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE )







     def   _SCREAMING_SNAKE_CASE     ( self      :    Optional[Any]   ,						_SCREAMING_SNAKE_CASE      :    List[Any]   ,						_SCREAMING_SNAKE_CASE      :    Optional[int]=None   ,						_SCREAMING_SNAKE_CASE      :    int=None   ,						_SCREAMING_SNAKE_CASE      :    Any=None   ,						_SCREAMING_SNAKE_CASE      :    List[Any]=1   ,						_SCREAMING_SNAKE_CASE      :    str=None   ,						_SCREAMING_SNAKE_CASE      :    bool = True   ,						):






           """simple docstring"""




           UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase					       =  hidden_states.shape
           UpperCamelCase					       =  batch_frames // num_frames

           UpperCamelCase					       =  hidden_states

           UpperCamelCase					       =  hidden_states[None, :].reshape(_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE )
           UpperCamelCase					       =  hidden_states.permute(0   ,						2   ,						1   ,						3   ,						4 )

           UpperCamelCase					       =  self.norm(_SCREAMING_SNAKE_CASE )
           UpperCamelCase					       =  hidden_states.permute(0   ,						3   ,						4   ,						2   ,						1 ).reshape(batch_size * height * width   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE )

           UpperCamelCase					       =  self.proj_in(_SCREAMING_SNAKE_CASE )

           # 2. Blocks
           for block in self.transformer_blocks:
                 UpperCamelCase					       =  block(
                     _SCREAMING_SNAKE_CASE   ,						encoder_hidden_states=_SCREAMING_SNAKE_CASE   ,						timestep=_SCREAMING_SNAKE_CASE   ,						cross_attention_kwargs=_SCREAMING_SNAKE_CASE   ,						class_labels=_SCREAMING_SNAKE_CASE   ,						)

           # 3. Output
           UpperCamelCase					       =  self.proj_out(_SCREAMING_SNAKE_CASE )
           UpperCamelCase					       =  (
               hidden_states[None, None, :]
               .reshape(_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE )
               .permute(0   ,						3   ,						4   ,						1   ,						2 )
               .contiguous()
           )
           UpperCamelCase					       =  hidden_states.reshape(_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE )

           UpperCamelCase					       =  hidden_states + residual

           if not return_dict:
                 return (output,)

           return TransformerTemporalModelOutput(sample=_SCREAMING_SNAKE_CASE )











from __future__ import annotations

from collections.abc import MutableSequence





class 					A__     :

     '''simple docstring'''






     def __init__( self      :    Dict   ,						_SCREAMING_SNAKE_CASE      :    int   ,						_SCREAMING_SNAKE_CASE      :    MutableSequence[float] ):






           """simple docstring"""




           if len(_SCREAMING_SNAKE_CASE ) != degree + 1:
                 raise ValueError(
                     'The number of coefficients should be equal to the degree + 1.' )

           UpperCamelCase					       =  list(_SCREAMING_SNAKE_CASE )
           UpperCamelCase					       =  degree







     def __add__( self      :    Any   ,						_SCREAMING_SNAKE_CASE      :    Polynomial ):






           """simple docstring"""




           if self.degree > polynomial_a.degree:
                 UpperCamelCase					       =  self.coefficients[:]
                 for i in range(polynomial_a.degree + 1 ):
                       coefficients[i] += polynomial_a.coefficients[i]
                 return Polynomial(self.degree   ,						_SCREAMING_SNAKE_CASE )
           else:
                 UpperCamelCase					       =  polynomial_a.coefficients[:]
                 for i in range(self.degree + 1 ):
                       coefficients[i] += self.coefficients[i]
                 return Polynomial(polynomial_a.degree   ,						_SCREAMING_SNAKE_CASE )







     def __sub__( self      :    Optional[int]   ,						_SCREAMING_SNAKE_CASE      :    Polynomial ):






           """simple docstring"""




           return self + polynomial_a * Polynomial(0   ,						[-1] )







     def __neg__( self      :    Any ):






           """simple docstring"""




           return Polynomial(self.degree   ,						[-c for c in self.coefficients] )







     def __mul__( self      :    Union[str, Any]   ,						_SCREAMING_SNAKE_CASE      :    Polynomial ):






           """simple docstring"""




           UpperCamelCase					       =  [0] * (self.degree + polynomial_a.degree + 1)
           for i in range(self.degree + 1 ):
                 for j in range(polynomial_a.degree + 1 ):
                       coefficients[i + j] += (
                           self.coefficients[i] * polynomial_a.coefficients[j]
                       )

           return Polynomial(self.degree + polynomial_a.degree   ,						_SCREAMING_SNAKE_CASE )







     def   _SCREAMING_SNAKE_CASE     ( self      :    Optional[int]   ,						_SCREAMING_SNAKE_CASE      :    int | float ):






           """simple docstring"""




           UpperCamelCase					       =  0
           for i in range(self.degree + 1 ):
                 result += self.coefficients[i] * (substitution**i)
           return result







     def __str__( self      :    Union[str, Any] ):






           """simple docstring"""




           UpperCamelCase					       =  ''
           for i in range(self.degree   ,						-1   ,						-1 ):
                 if self.coefficients[i] == 0:
                       continue
                 elif self.coefficients[i] > 0:
                       if polynomial:
                             polynomial += " + "
                 else:
                       polynomial += " - "

                 if i == 0:
                       polynomial += str(abs(self.coefficients[i] ) )
                 elif i == 1:
                       polynomial += str(abs(self.coefficients[i] ) ) + "x"
                 else:
                       polynomial += str(abs(self.coefficients[i] ) ) + "x^" + str(_SCREAMING_SNAKE_CASE )

           return polynomial







     def __repr__( self      :    str ):






           """simple docstring"""




           return self.__str__()







     def   _SCREAMING_SNAKE_CASE     ( self      :    Optional[Any] ):






           """simple docstring"""




           UpperCamelCase					       =  [0] * self.degree
           for i in range(self.degree ):
                 UpperCamelCase					       =  self.coefficients[i + 1] * (i + 1)
           return Polynomial(self.degree - 1   ,						_SCREAMING_SNAKE_CASE )







     def   _SCREAMING_SNAKE_CASE     ( self      :    Optional[int]   ,						_SCREAMING_SNAKE_CASE      :    int | float = 0 ):






           """simple docstring"""




           UpperCamelCase					       =  [0] * (self.degree + 2)
           UpperCamelCase					       =  constant
           for i in range(self.degree + 1 ):
                 UpperCamelCase					       =  self.coefficients[i] / (i + 1)
           return Polynomial(self.degree + 1   ,						_SCREAMING_SNAKE_CASE )







     def __eq__( self      :    Any   ,						_SCREAMING_SNAKE_CASE      :    object ):






           """simple docstring"""




           if not isinstance(_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE ):
                 return False

           if self.degree != polynomial_a.degree:
                 return False

           for i in range(self.degree + 1 ):
                 if self.coefficients[i] != polynomial_a.coefficients[i]:
                       return False

           return True







     def __ne__( self      :    str   ,						_SCREAMING_SNAKE_CASE      :    object ):






           """simple docstring"""




           return not self.__eq__(_SCREAMING_SNAKE_CASE )



