
"""simple docstring"""
import unittest

from .lib import (
    Matrix,
    Vector,
    axpy,
    square_zero_matrix,
    unit_basis_vector,
    zero_vector,
)
class 			UpperCamelCase      (							unittest.TestCase  ):
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = Vector([1, 2, 3]				)
       self.assertEqual(x.component(0				)  ,     1				)
       self.assertEqual(x.component(2				)  ,     3				)
       _SCREAMING_SNAKE_CASE   :				List[str]							    = Vector()
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				int							    = Vector([0, 0, 0, 0, 0, 1]				)
       self.assertEqual(str(snake_case__				)  ,     "(0,0,0,0,0,1)"				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[Any]							    = Vector([1, 2, 3, 4]				)
       self.assertEqual(len(snake_case__				)  ,     4				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = Vector([1, 2]				)
       _SCREAMING_SNAKE_CASE   :				List[Any]							    = Vector([1, 2, 3, 4, 5]				)
       _SCREAMING_SNAKE_CASE   :				List[str]							    = Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]				)
       _SCREAMING_SNAKE_CASE   :				Dict							    = 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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = Vector([1, 2, 3]				)
       _SCREAMING_SNAKE_CASE   :				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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Any							    = Vector([1, 2, 3]				)
       _SCREAMING_SNAKE_CASE   :				int							    = 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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = Vector([1, 2, 3]				)
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = Vector([2, -1, 4]				)  # for test of dot product
       _SCREAMING_SNAKE_CASE   :				Dict							    = Vector([1, -2, -1]				)
       self.assertEqual(str(x * 3.0				)  ,     "(3.0,6.0,9.0)"				)
       self.assertEqual((a * b)  ,     0				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       self.assertEqual(str(zero_vector(10				)				).count("0"				)  ,     10				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       self.assertEqual(str(unit_basis_vector(3  ,     1				)				)  ,     "(0,1,0)"				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = Vector([1, 2, 3]				)
       _SCREAMING_SNAKE_CASE   :				Tuple							    = Vector([1, 0, 1]				)
       self.assertEqual(str(axpy(2  ,     snake_case__  ,     snake_case__				)				)  ,     "(3,4,7)"				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Any							    = Vector([1, 0, 0, 0, 0, 0]				)
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = x.copy()
       self.assertEqual(str(snake_case__				)  ,     str(snake_case__				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = Vector([1, 0, 0]				)
       x.change_component(0  ,     0				)
       x.change_component(1  ,     1				)
       self.assertEqual(str(snake_case__				)  ,     "(0,1,0)"				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _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(snake_case__				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = [[-3, -14, -10], [-5, -10, -5], [-2, -1, 0]]
       for x in range(a.height()				):
         for y in range(a.width()				):
           self.assertEqual(minors[x][y]  ,     a.minor(snake_case__  ,     snake_case__				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       _SCREAMING_SNAKE_CASE   :				str							    = [[-3, 14, -10], [5, -10, 5], [-2, 1, 0]]
       for x in range(a.height()				):
         for y in range(a.width()				):
           self.assertEqual(cofactors[x][y]  ,     a.cofactor(snake_case__  ,     snake_case__				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       self.assertEqual(-5  ,     a.determinant()				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]  ,     3  ,     3				)
       _SCREAMING_SNAKE_CASE   :				Optional[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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = 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(snake_case__				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       self.assertEqual(7  ,     a.component(2  ,     1				)  ,     0.01				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       _SCREAMING_SNAKE_CASE   :				Any							    = Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]  ,     3  ,     3				)
       self.assertEqual("|2,4,10|\n|4,8,10|\n|12,14,18|\n"  ,     str(a + b				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       _SCREAMING_SNAKE_CASE   :				str							    = Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]  ,     3  ,     3				)
       self.assertEqual("|0,0,-4|\n|0,0,0|\n|0,0,-2|\n"  ,     str(a - b				)				)




     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       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()





"""simple docstring"""
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 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE  ):
     A__      =			42
class 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE      ,       __SCREAMING_SNAKE_CASE  ):
     @register_to_config
     def __init__(     self  ,     snake_case__ = 3  ,     snake_case__ = 3  ,     snake_case__ = ("DownEncoderBlock2D",)  ,     snake_case__ = ("UpDecoderBlock2D",)  ,     snake_case__ = (64,)  ,     snake_case__ = 1  ,     snake_case__ = "silu"  ,     snake_case__ = 3  ,     snake_case__ = 32  ,     snake_case__ = 256  ,     snake_case__ = 32  ,     snake_case__ = None  ,     snake_case__ = 0.18_215  ,     snake_case__ = "group"  ,     ):




       """simple docstring"""


       super().__init__()

       # pass init params to Encoder
       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = Encoder(
           in_channels=snake_case__  ,     out_channels=snake_case__  ,     down_block_types=snake_case__  ,     block_out_channels=snake_case__  ,     layers_per_block=snake_case__  ,     act_fn=snake_case__  ,     norm_num_groups=snake_case__  ,     double_z=snake_case__  ,     )

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

       _SCREAMING_SNAKE_CASE   :				Tuple							    = nn.Convad(snake_case__  ,     snake_case__  ,     1				)
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = VectorQuantizer(snake_case__  ,     snake_case__  ,     beta=0.25  ,     remap=snake_case__  ,     sane_index_shape=snake_case__				)
       _SCREAMING_SNAKE_CASE   :				List[str]							    = nn.Convad(snake_case__  ,     snake_case__  ,     1				)

       # pass init params to Decoder
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = Decoder(
           in_channels=snake_case__  ,     out_channels=snake_case__  ,     up_block_types=snake_case__  ,     block_out_channels=snake_case__  ,     layers_per_block=snake_case__  ,     act_fn=snake_case__  ,     norm_num_groups=snake_case__  ,     norm_type=snake_case__  ,     )
     @apply_forward_hook
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__  ,     snake_case__ = True				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = self.encoder(snake_case__				)
       _SCREAMING_SNAKE_CASE   :				Dict							    = self.quant_conv(snake_case__				)

       if not return_dict:
         return (h,)

       return VQEncoderOutput(latents=snake_case__				)
     @apply_forward_hook
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__  ,     snake_case__ = False  ,     snake_case__ = True				):




       """simple docstring"""


       if not force_not_quantize:
         _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				int							    = self.quantize(snake_case__				)
       else:
         _SCREAMING_SNAKE_CASE   :				int							    = h
       _SCREAMING_SNAKE_CASE   :				Dict							    = self.post_quant_conv(snake_case__				)
       _SCREAMING_SNAKE_CASE   :				int							    = self.decoder(snake_case__  ,     quant if self.config.norm_type == "spatial" else None				)

       if not return_dict:
         return (dec,)

       return DecoderOutput(sample=snake_case__				)




     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__  ,     snake_case__ = True				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = sample
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = self.encode(snake_case__				).latents
       _SCREAMING_SNAKE_CASE   :				Any							    = self.decode(snake_case__				).sample

       if not return_dict:
         return (dec,)

       return DecoderOutput(sample=snake_case__				)



