





import unittest

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





class 			lowerCAmelCase__( unittest.TestCase    ):






       '''simple docstring'''


       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							Vector([1, 2, 3]							)
            self.assertEqual(x.component(0							)    ,						1							)
            self.assertEqual(x.component(2							)    ,						3							)
            _SCREAMING_SNAKE_CASE       :	int						    =							Vector()




       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	int						    =							Vector([0, 0, 0, 0, 0, 1]							)
            self.assertEqual(str(__lowerCamelCase							)    ,						"(0,0,0,0,0,1)"							)




       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							Vector([1, 2, 3, 4]							)
            self.assertEqual(len(__lowerCamelCase							)    ,						4							)




       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							Vector([1, 2]							)
            _SCREAMING_SNAKE_CASE       :	int						    =							Vector([1, 2, 3, 4, 5]							)
            _SCREAMING_SNAKE_CASE       :	Any						    =							Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]							)
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							Vector([1, -1, 1, -1, 2, -3, 4, -5]							)
            self.assertAlmostEqual(x.euclidean_length()    ,						2.236    ,						3							)
            self.assertAlmostEqual(y.euclidean_length()    ,						7.416    ,						3							)
            self.assertEqual(z.euclidean_length()    ,						0							)
            self.assertAlmostEqual(w.euclidean_length()    ,						7.616    ,						3							)




       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							Vector([1, 2, 3]							)
            _SCREAMING_SNAKE_CASE       :	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     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	str						    =							Vector([1, 2, 3]							)
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							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     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	int						    =							Vector([1, 2, 3]							)
            _SCREAMING_SNAKE_CASE       :	int						    =							Vector([2, -1, 4]							)  # for test of dot product
            _SCREAMING_SNAKE_CASE       :	int						    =							Vector([1, -2, -1]							)
            self.assertEqual(str(x * 3.0							)    ,						"(3.0,6.0,9.0)"							)
            self.assertEqual((a * b)    ,						0							)




       def     UpperCamelCase_			(      self							)			->     None:
            self.assertEqual(str(zero_vector(1_0							)							).count("0"							)    ,						1_0							)




       def     UpperCamelCase_			(      self							)			->     None:
            self.assertEqual(str(unit_basis_vector(3    ,						1							)							)    ,						"(0,1,0)"							)




       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							Vector([1, 2, 3]							)
            _SCREAMING_SNAKE_CASE       :	Any						    =							Vector([1, 0, 1]							)
            self.assertEqual(str(axpy(2    ,						__lowerCamelCase    ,						__lowerCamelCase							)							)    ,						"(3,4,7)"							)




       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							Vector([1, 0, 0, 0, 0, 0]							)
            _SCREAMING_SNAKE_CASE       :	int						    =							x.copy()
            self.assertEqual(str(__lowerCamelCase							)    ,						str(__lowerCamelCase							)							)




       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							Vector([1, 0, 0]							)
            x.change_component(0    ,						0							)
            x.change_component(1    ,						1							)
            self.assertEqual(str(__lowerCamelCase							)    ,						"(0,1,0)"							)




       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							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     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	str						    =							Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]    ,						3    ,						3							)
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							[[-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     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]    ,						3    ,						3							)
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							[[-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     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]    ,						3    ,						3							)
            self.assertEqual(-5    ,						a.determinant()							)




       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]    ,						3    ,						3							)
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							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     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	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     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]    ,						3    ,						3							)
            self.assertEqual(7    ,						a.component(2    ,						1							)    ,						0.01							)




       def     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]    ,						3    ,						3							)
            _SCREAMING_SNAKE_CASE       :	int						    =							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     UpperCamelCase_			(      self							)			->     None:
            _SCREAMING_SNAKE_CASE       :	Dict						    =							Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]    ,						3    ,						3							)
            _SCREAMING_SNAKE_CASE       :	Dict						    =							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     UpperCamelCase_			(      self							)			->     None:
            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()






from dataclasses import dataclass
from typing import Optional, Tuple, Union

import torch
import torch.nn as nn

from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, apply_forward_hook
from .modeling_utils import ModelMixin
from .vae import Decoder, DecoderOutput, Encoder, VectorQuantizer





@dataclass
class 			lowerCAmelCase__( __lowercase    ):






       '''simple docstring'''


       __snake_case 			=    42





class 			lowerCAmelCase__( __lowercase  ,     __lowercase    ):






       '''simple docstring'''


       @register_to_config
       def __init__(      self    ,						__lowerCamelCase = 3    ,						__lowerCamelCase = 3    ,						__lowerCamelCase = ("DownEncoderBlock2D",)    ,						__lowerCamelCase = ("UpDecoderBlock2D",)    ,						__lowerCamelCase = (6_4,)    ,						__lowerCamelCase = 1    ,						__lowerCamelCase = "silu"    ,						__lowerCamelCase = 3    ,						__lowerCamelCase = 3_2    ,						__lowerCamelCase = 2_5_6    ,						__lowerCamelCase = 3_2    ,						__lowerCamelCase = None    ,						__lowerCamelCase = 0.1_8215    ,						__lowerCamelCase = "group"    ,						)			->     List[str]:
            super().__init__()

            # pass init params to Encoder
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							Encoder(
                in_channels=__lowerCamelCase    ,						out_channels=__lowerCamelCase    ,						down_block_types=__lowerCamelCase    ,						block_out_channels=__lowerCamelCase    ,						layers_per_block=__lowerCamelCase    ,						act_fn=__lowerCamelCase    ,						norm_num_groups=__lowerCamelCase    ,						double_z=__lowerCamelCase    ,						)

            _SCREAMING_SNAKE_CASE       :	Dict						    =							vq_embed_dim if vq_embed_dim is not None else latent_channels

            _SCREAMING_SNAKE_CASE       :	str						    =							nn.Convad(__lowerCamelCase    ,						__lowerCamelCase    ,						1							)
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							VectorQuantizer(__lowerCamelCase    ,						__lowerCamelCase    ,						beta=0.25    ,						remap=__lowerCamelCase    ,						sane_index_shape=__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	int						    =							nn.Convad(__lowerCamelCase    ,						__lowerCamelCase    ,						1							)

            # pass init params to Decoder
            _SCREAMING_SNAKE_CASE       :	Dict						    =							Decoder(
                in_channels=__lowerCamelCase    ,						out_channels=__lowerCamelCase    ,						up_block_types=__lowerCamelCase    ,						block_out_channels=__lowerCamelCase    ,						layers_per_block=__lowerCamelCase    ,						act_fn=__lowerCamelCase    ,						norm_num_groups=__lowerCamelCase    ,						norm_type=__lowerCamelCase    ,						)




       @apply_forward_hook
       def     UpperCamelCase_			(      self    ,						__lowerCamelCase    ,						__lowerCamelCase = True							)			->     VQEncoderOutput:
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							self.encoder(__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	Any						    =							self.quant_conv(__lowerCamelCase							)

            if not return_dict:
                 return (h,)

            return VQEncoderOutput(latents=__lowerCamelCase							)




       @apply_forward_hook
       def     UpperCamelCase_			(      self    ,						__lowerCamelCase    ,						__lowerCamelCase = False    ,						__lowerCamelCase = True							)			->     Union[DecoderOutput, torch.FloatTensor]:
            # also go through quantization layer
            if not force_not_quantize:
                 _SCREAMING_SNAKE_CASE    ,			_SCREAMING_SNAKE_CASE    ,			_SCREAMING_SNAKE_CASE       :	Optional[int]						    =							self.quantize(__lowerCamelCase							)
            else:
                 _SCREAMING_SNAKE_CASE       :	Dict						    =							h
            _SCREAMING_SNAKE_CASE       :	str						    =							self.post_quant_conv(__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	Dict						    =							self.decoder(__lowerCamelCase    ,						quant if self.config.norm_type == "spatial" else None							)

            if not return_dict:
                 return (dec,)

            return DecoderOutput(sample=__lowerCamelCase							)







       def     UpperCamelCase_			(      self    ,						__lowerCamelCase    ,						__lowerCamelCase = True							)			->     Union[DecoderOutput, torch.FloatTensor]:
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							sample
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							self.encode(__lowerCamelCase							).latents
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							self.decode(__lowerCamelCase							).sample

            if not return_dict:
                 return (dec,)

            return DecoderOutput(sample=__lowerCamelCase							)