
import unittest

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




class    SCREAMING_SNAKE_CASE__     (	unittest.TestCase					):





	'''simple docstring'''



	def  A							(  self	:    Tuple	):


				'''simple docstring'''


				_snake_case		=			Vector([1, 2, 3]	)
				self.assertEqual(x.component(0	)			,  1	)
				self.assertEqual(x.component(2	)			,  3	)
				_snake_case		=			Vector()



	def  A							(  self	:    Tuple	):


				'''simple docstring'''


				_snake_case		=			Vector([0, 0, 0, 0, 0, 1]	)
				self.assertEqual(str(lowercase	)			,  '(0,0,0,0,0,1)'	)



	def  A							(  self	:    Tuple	):


				'''simple docstring'''


				_snake_case		=			Vector([1, 2, 3, 4]	)
				self.assertEqual(len(lowercase	)			,  4	)



	def  A							(  self	:    Tuple	):


				'''simple docstring'''


				_snake_case		=			Vector([1, 2]	)
				_snake_case		=			Vector([1, 2, 3, 4, 5]	)
				_snake_case		=			Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]	)
				_snake_case		=			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  A							(  self	:    Union[str, Any]	):


				'''simple docstring'''


				_snake_case		=			Vector([1, 2, 3]	)
				_snake_case		=			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  A							(  self	:    Dict	):


				'''simple docstring'''


				_snake_case		=			Vector([1, 2, 3]	)
				_snake_case		=			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  A							(  self	:    Tuple	):


				'''simple docstring'''


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



	def  A							(  self	:    Optional[int]	):


				'''simple docstring'''


				self.assertEqual(str(zero_vector(10	)	).count('0'	)			,  10	)



	def  A							(  self	:    List[str]	):


				'''simple docstring'''


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



	def  A							(  self	:    List[str]	):


				'''simple docstring'''


				_snake_case		=			Vector([1, 2, 3]	)
				_snake_case		=			Vector([1, 0, 1]	)
				self.assertEqual(str(axpy(2			,  lowercase			,  lowercase	)	)			,  '(3,4,7)'	)



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


				'''simple docstring'''


				_snake_case		=			Vector([1, 0, 0, 0, 0, 0]	)
				_snake_case		=			x.copy()
				self.assertEqual(str(lowercase	)			,  str(lowercase	)	)



	def  A							(  self	:    Optional[Any]	):


				'''simple docstring'''


				_snake_case		=			Vector([1, 0, 0]	)
				x.change_component(0			,  0	)
				x.change_component(1			,  1	)
				self.assertEqual(str(lowercase	)			,  '(0,1,0)'	)



	def  A							(  self	:    List[str]	):


				'''simple docstring'''


				_snake_case		=			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(lowercase	)	)



	def  A							(  self	:    Dict	):


				'''simple docstring'''


				_snake_case		=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]			,  3			,  3	)
				_snake_case		=			[[-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(lowercase			,  lowercase	)	)



	def  A							(  self	:    Any	):


				'''simple docstring'''


				_snake_case		=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]			,  3			,  3	)
				_snake_case		=			[[-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(lowercase			,  lowercase	)	)



	def  A							(  self	:    List[str]	):


				'''simple docstring'''


				_snake_case		=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]			,  3			,  3	)
				self.assertEqual(-5			,  a.determinant()	)



	def  A							(  self	:    int	):


				'''simple docstring'''


				_snake_case		=			Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]			,  3			,  3	)
				_snake_case		=			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  A							(  self	:    Any	):


				'''simple docstring'''


				_snake_case		=			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(lowercase	)	)



	def  A							(  self	:    Optional[Any]	):


				'''simple docstring'''


				_snake_case		=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]			,  3			,  3	)
				self.assertEqual(7			,  a.component(2			,  1	)			,  0.01	)



	def  A							(  self	:    int	):


				'''simple docstring'''


				_snake_case		=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]			,  3			,  3	)
				_snake_case		=			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  A							(  self	:    int	):


				'''simple docstring'''


				_snake_case		=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]			,  3			,  3	)
				_snake_case		=			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  A							(  self	:    str	):


				'''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()

import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union

import torch
from torch import nn

from ...models.controlnet import ControlNetModel, ControlNetOutput
from ...models.modeling_utils import ModelMixin
from ...utils import logging


_lowerCamelCase       :				List[str]       =			logging.get_logger(__name__)




class    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



	def __init__(  self	:    Dict			,  lowercase	:    Union[List[ControlNetModel], Tuple[ControlNetModel]]	):


				'''simple docstring'''


				super().__init__()
				_snake_case		=			nn.ModuleList(lowercase	)



	def  A							(  self	:    Optional[int]			,  lowercase	:    torch.FloatTensor			,  lowercase	:    Union[torch.Tensor, float, int]			,  lowercase	:    torch.Tensor			,  lowercase	:    List[torch.tensor]			,  lowercase	:    List[float]			,  lowercase	:    Optional[torch.Tensor] = None			,  lowercase	:    Optional[torch.Tensor] = None			,  lowercase	:    Optional[torch.Tensor] = None			,  lowercase	:    Optional[Dict[str, Any]] = None			,  lowercase	:    bool = False			,  lowercase	:    bool = True			,  ):


				'''simple docstring'''


				for i, (image, scale, controlnet) in enumerate(zip(lowercase			,  lowercase			,  self.nets	)	):
							_snake_case	,					_snake_case		=			controlnet(
							    lowercase			,  lowercase			,  lowercase			,  lowercase			,  lowercase			,  lowercase			,  lowercase			,  lowercase			,  lowercase			,  lowercase			,  lowercase			,  )

							# merge samples
							if i == 0:
										_snake_case	,					_snake_case		=			down_samples, mid_sample
							else:
										_snake_case		=			[
										    samples_prev + samples_curr
										    for samples_prev, samples_curr in zip(lowercase			,  lowercase	)
										]
										mid_block_res_sample += mid_sample

				return down_block_res_samples, mid_block_res_sample



	def  A							(  self	:    Dict			,  lowercase	:    Union[str, os.PathLike]			,  lowercase	:    bool = True			,  lowercase	:    Callable = None			,  lowercase	:    bool = False			,  lowercase	:    Optional[str] = None			,  ):


				'''simple docstring'''


				_snake_case		=			0
				_snake_case		=			save_directory
				for controlnet in self.nets:
							controlnet.save_pretrained(
							    lowercase			,  is_main_process=lowercase			,  save_function=lowercase			,  safe_serialization=lowercase			,  variant=lowercase			,  )

							idx += 1
							_snake_case		=			model_path_to_save + f'''_{idx}'''





	@classmethod
	def  A							(  cls	:    Any			,  lowercase	:    Optional[Union[str, os.PathLike]]			,  **lowercase	:    List[str]	):


				'''simple docstring'''


				_snake_case		=			0
				_snake_case		=			[]

				# load controlnet and append to list until no controlnet directory exists anymore
				# first controlnet has to be saved under `./mydirectory/controlnet` to be compliant with `DiffusionPipeline.from_prertained`
				# second, third, ... controlnets have to be saved under `./mydirectory/controlnet_1`, `./mydirectory/controlnet_2`, ...
				_snake_case		=			pretrained_model_path
				while os.path.isdir(lowercase	):
							_snake_case		=			ControlNetModel.from_pretrained(lowercase			,  **lowercase	)
							controlnets.append(lowercase	)

							idx += 1
							_snake_case		=			pretrained_model_path + f'''_{idx}'''

				logger.info(f'''{len(lowercase	)} controlnets loaded from {pretrained_model_path}.'''	)

				if len(lowercase	) == 0:
							raise ValueError(
							    f'''No ControlNets found under {os.path.dirname(lowercase	)}. Expected at least {pretrained_model_path + '_0'}.'''	)

				return cls(lowercase	)