'''simple docstring'''
import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin






class 			__lowercase		(						_lowerCamelCase			,							_lowerCamelCase						):







     """simple docstring"""






     @register_to_config
     def __init__(		self     ,			*,
         _lowerCamelCase = 4     ,			_lowerCamelCase = 7_6_8     ,			_lowerCamelCase     ,			_lowerCamelCase     ,			):
         super().__init__()

         __UpperCamelCase	:	Optional[int]		    =  nn.Parameter(torch.zeros(_lowerCamelCase    )    )

         # parameters for additional clip time embeddings
         __UpperCamelCase	:	Dict		    =  nn.Linear(_lowerCamelCase     ,			_lowerCamelCase    )
         __UpperCamelCase	:	int		    =  nn.Linear(_lowerCamelCase     ,			_lowerCamelCase    )

         # parameters for encoder hidden states
         __UpperCamelCase	:	Optional[Any]		    =  clip_extra_context_tokens
         __UpperCamelCase	:	Dict		    =  nn.Linear(
             _lowerCamelCase     ,			self.clip_extra_context_tokens * cross_attention_dim    )
         __UpperCamelCase	:	str		    =  nn.Linear(_lowerCamelCase     ,			_lowerCamelCase    )
         __UpperCamelCase	:	List[str]		    =  nn.LayerNorm(_lowerCamelCase    )







     def lowerCAmelCase     (		self     ,			*, _lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase    ):
         if do_classifier_free_guidance:
             # Add the classifier free guidance embeddings to the image embeddings
             __UpperCamelCase	:	int		    =  image_embeddings.shape[0]
             __UpperCamelCase	:	Optional[Any]		    =  self.learned_classifier_free_guidance_embeddings.unsqueeze(0    )
             __UpperCamelCase	:	List[Any]		    =  classifier_free_guidance_embeddings.expand(
                 _lowerCamelCase     ,			-1    )
             __UpperCamelCase	:	Optional[Any]		    =  torch.cat([classifier_free_guidance_embeddings, image_embeddings]     ,			dim=0    )

         # The image embeddings batch size and the text embeddings batch size are equal
         assert image_embeddings.shape[0] == prompt_embeds.shape[0]

         __UpperCamelCase	:	Optional[Any]		    =  prompt_embeds.shape[0]

         # "Specifically, we modify the architecture described in Nichol et al. (2021) by projecting and
         # adding CLIP embeddings to the existing timestep embedding, ...
         __UpperCamelCase	:	Optional[int]		    =  self.embedding_proj(_lowerCamelCase    )
         __UpperCamelCase	:	List[str]		    =  self.clip_image_embeddings_project_to_time_embeddings(_lowerCamelCase    )
         __UpperCamelCase	:	Optional[int]		    =  time_projected_image_embeddings + time_projected_prompt_embeds

         # ... and by projecting CLIP embeddings into four
         # extra tokens of context that are concatenated to the sequence of outputs from the GLIDE text encoder"
         __UpperCamelCase	:	Optional[int]		    =  self.clip_extra_context_tokens_proj(_lowerCamelCase    )
         __UpperCamelCase	:	Tuple		    =  clip_extra_context_tokens.reshape(_lowerCamelCase     ,			-1     ,			self.clip_extra_context_tokens    )
         __UpperCamelCase	:	Dict		    =  clip_extra_context_tokens.permute(0     ,			2     ,			1    )

         __UpperCamelCase	:	Union[str, Any]		    =  self.encoder_hidden_states_proj(_lowerCamelCase    )
         __UpperCamelCase	:	Optional[Any]		    =  self.text_encoder_hidden_states_norm(_lowerCamelCase    )
         __UpperCamelCase	:	Tuple		    =  torch.cat([clip_extra_context_tokens, text_encoder_hidden_states]     ,			dim=1    )

         return text_encoder_hidden_states, additive_clip_time_embeddings




'''simple docstring'''
import unittest

from .lib import (
    Matrix,
    Vector,
    axpy,
    square_zero_matrix,
    unit_basis_vector,
    zero_vector,
)






class 			__lowercase		(						unittest.TestCase						):







     """simple docstring"""






     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Dict		    =  Vector([1, 2, 3]    )
         self.assertEqual(x.component(0    )     ,			1    )
         self.assertEqual(x.component(2    )     ,			3    )
         __UpperCamelCase	:	Dict		    =  Vector()







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	str		    =  Vector([0, 0, 0, 0, 0, 1]    )
         self.assertEqual(str(_lowerCamelCase    )     ,			'(0,0,0,0,0,1)'    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Dict		    =  Vector([1, 2, 3, 4]    )
         self.assertEqual(len(_lowerCamelCase    )     ,			4    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Any		    =  Vector([1, 2]    )
         __UpperCamelCase	:	Optional[int]		    =  Vector([1, 2, 3, 4, 5]    )
         __UpperCamelCase	:	Optional[Any]		    =  Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]    )
         __UpperCamelCase	:	List[str]		    =  Vector([1, -1, 1, -1, 2, -3, 4, -5]    )
         self.assertAlmostEqual(x.euclidean_length()     ,			2.2_3_6     ,			3    )
         self.assertAlmostEqual(y.euclidean_length()     ,			7.4_1_6     ,			3    )
         self.assertEqual(z.euclidean_length()     ,			0    )
         self.assertAlmostEqual(w.euclidean_length()     ,			7.6_1_6     ,			3    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	int		    =  Vector([1, 2, 3]    )
         __UpperCamelCase	:	List[str]		    =  Vector([1, 1, 1]    )
         self.assertEqual((x + y).component(0    )     ,			2    )
         self.assertEqual((x + y).component(1    )     ,			3    )
         self.assertEqual((x + y).component(2    )     ,			4    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Optional[Any]		    =  Vector([1, 2, 3]    )
         __UpperCamelCase	:	Dict		    =  Vector([1, 1, 1]    )
         self.assertEqual((x - y).component(0    )     ,			0    )
         self.assertEqual((x - y).component(1    )     ,			1    )
         self.assertEqual((x - y).component(2    )     ,			2    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Dict		    =  Vector([1, 2, 3]    )
         __UpperCamelCase	:	int		    =  Vector([2, -1, 4]    )  # for test of dot product
         __UpperCamelCase	:	int		    =  Vector([1, -2, -1]    )
         self.assertEqual(str(x * 3.0    )     ,			'(3.0,6.0,9.0)'    )
         self.assertEqual((a * b)     ,			0    )







     def lowerCAmelCase     (		self    ):
         self.assertEqual(str(zero_vector(1_0    )    ).count('0'    )     ,			1_0    )







     def lowerCAmelCase     (		self    ):
         self.assertEqual(str(unit_basis_vector(3     ,			1    )    )     ,			'(0,1,0)'    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Optional[int]		    =  Vector([1, 2, 3]    )
         __UpperCamelCase	:	Union[str, Any]		    =  Vector([1, 0, 1]    )
         self.assertEqual(str(axpy(2     ,			_lowerCamelCase     ,			_lowerCamelCase    )    )     ,			'(3,4,7)'    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	List[str]		    =  Vector([1, 0, 0, 0, 0, 0]    )
         __UpperCamelCase	:	Optional[Any]		    =  x.copy()
         self.assertEqual(str(_lowerCamelCase    )     ,			str(_lowerCamelCase    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	List[str]		    =  Vector([1, 0, 0]    )
         x.change_component(0     ,			0    )
         x.change_component(1     ,			1    )
         self.assertEqual(str(_lowerCamelCase    )     ,			'(0,1,0)'    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Tuple		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         self.assertEqual('|1,2,3|\n|2,4,5|\n|6,7,8|\n'     ,			str(_lowerCamelCase    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Optional[int]		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         __UpperCamelCase	:	List[str]		    =  [[-3, -1_4, -1_0], [-5, -1_0, -5], [-2, -1, 0]]
         for x in range(a.height()    ):
             for y in range(a.width()    ):
                 self.assertEqual(minors[x][y]     ,			a.minor(_lowerCamelCase     ,			_lowerCamelCase    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	int		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         __UpperCamelCase	:	List[str]		    =  [[-3, 1_4, -1_0], [5, -1_0, 5], [-2, 1, 0]]
         for x in range(a.height()    ):
             for y in range(a.width()    ):
                 self.assertEqual(cofactors[x][y]     ,			a.cofactor(_lowerCamelCase     ,			_lowerCamelCase    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Any		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         self.assertEqual(-5     ,			a.determinant()    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	int		    =  Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]     ,			3     ,			3    )
         __UpperCamelCase	:	Union[str, Any]		    =  Vector([1, 2, 3]    )
         self.assertEqual('(14,32,50)'     ,			str(a * x    )    )
         self.assertEqual('|2,4,6|\n|8,10,12|\n|14,16,18|\n'     ,			str(a * 2    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Union[str, Any]		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         a.change_component(0     ,			2     ,			5    )
         self.assertEqual('|1,2,5|\n|2,4,5|\n|6,7,8|\n'     ,			str(_lowerCamelCase    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	int		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         self.assertEqual(7     ,			a.component(2     ,			1    )     ,			0.0_1    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	List[str]		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         __UpperCamelCase	:	Optional[Any]		    =  Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 1_0]]     ,			3     ,			3    )
         self.assertEqual('|2,4,10|\n|4,8,10|\n|12,14,18|\n'     ,			str(a + b    )    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Optional[int]		    =  Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]     ,			3     ,			3    )
         __UpperCamelCase	:	Optional[int]		    =  Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 1_0]]     ,			3     ,			3    )
         self.assertEqual('|0,0,-4|\n|0,0,0|\n|0,0,-2|\n'     ,			str(a - b    )    )







     def lowerCAmelCase     (		self    ):
         self.assertEqual(
             '|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n'     ,			str(square_zero_matrix(5    )    )     ,			)


if __name__ == "__main__":
  unittest.main()



