


from __future__ import annotations

from typing import Any



def       lowerCAmelCase			(		*lowerCAmelCase_			)->			list[list[int]]:
				if all(_check_not_integer(lowerCAmelCase_			) for m in matrix_s			):
								for i in matrix_s[1:]:
												_verify_matrix_sizes(matrix_s[0]			, lowerCAmelCase_			)
								return [[sum(lowerCAmelCase_			) for t in zip(*lowerCAmelCase_			)] for m in zip(*lowerCAmelCase_			)]
				raise TypeError('''Expected a matrix, got int/list instead'''			)



def       lowerCAmelCase			(		lowerCAmelCase_			, lowerCAmelCase_			)->			list[list[int]]:
				if (
				    _check_not_integer(lowerCAmelCase_			)
				    and _check_not_integer(lowerCAmelCase_			)
				    and _verify_matrix_sizes(lowerCAmelCase_			, lowerCAmelCase_			)
				):
								return [[i - j for i, j in zip(*lowerCAmelCase_			)] for m in zip(lowerCAmelCase_			, lowerCAmelCase_			)]
				raise TypeError('''Expected a matrix, got int/list instead'''			)



def       lowerCAmelCase			(		lowerCAmelCase_			, lowerCAmelCase_			)->			list[list[float]]:
				return [[x * n for x in row] for row in matrix]



def       lowerCAmelCase			(		lowerCAmelCase_			, lowerCAmelCase_			)->			list[list[int]]:
				if _check_not_integer(lowerCAmelCase_			) and _check_not_integer(lowerCAmelCase_			):
								lowerCAmelCase_					,	lowerCAmelCase_			:   Tuple     					=					_verify_matrix_sizes(lowerCAmelCase_			, lowerCAmelCase_			)

				if cols[0] != rows[1]:
								lowerCAmelCase_			:   str     					=					(
								    '''Cannot multiply matrix of dimensions '''
								    f"""({rows[0]},{cols[0]}) and ({rows[1]},{cols[1]})"""
								)
								raise ValueError(lowerCAmelCase_			)
				return [
				    [sum(m * n for m, n in zip(lowerCAmelCase_			, lowerCAmelCase_			)			) for j in zip(*lowerCAmelCase_			)] for i in matrix_a
				]



def       lowerCAmelCase			(		lowerCAmelCase_			)->			list[list[int]]:
				lowerCAmelCase_			:   Optional[Any]     					=					int(lowerCAmelCase_			)
				return [[int(row == column			) for column in range(lowerCAmelCase_			)] for row in range(lowerCAmelCase_			)]



def       lowerCAmelCase			(		lowerCAmelCase_			, lowerCAmelCase_ = True			)->			list[list[int]] | map[list[int]]:
				if _check_not_integer(lowerCAmelCase_			):
								if return_map:
												return map(lowerCAmelCase_			, zip(*lowerCAmelCase_			)			)
								else:
												return list(map(lowerCAmelCase_			, zip(*lowerCAmelCase_			)			)			)
				raise TypeError('''Expected a matrix, got int/list instead'''			)



def       lowerCAmelCase			(		lowerCAmelCase_			, lowerCAmelCase_			, lowerCAmelCase_			)->			list[list[int]]:
				lowerCAmelCase_			:   int     					=					matrix[:row] + matrix[row + 1 :]
				return [row[:column] + row[column + 1 :] for row in minor]



def       lowerCAmelCase			(		lowerCAmelCase_			)->			Any:
				if len(lowerCAmelCase_			) == 1:
								return matrix[0][0]

				return sum(
				    x * determinant(minor(lowerCAmelCase_			, 0			, lowerCAmelCase_			)			) * (-1) ** i
				    for i, x in enumerate(matrix[0]			)			)



def       lowerCAmelCase			(		lowerCAmelCase_			)->			list[list[float]] | None:
				lowerCAmelCase_			:   List[Any]     					=					determinant(lowerCAmelCase_			)
				if det == 0:
								return None

				lowerCAmelCase_			:   List[str]     					=					[
				    [determinant(minor(lowerCAmelCase_			, lowerCAmelCase_			, lowerCAmelCase_			)			) for j in range(len(lowerCAmelCase_			)			)]
				    for i in range(len(lowerCAmelCase_			)			)
				]

				lowerCAmelCase_			:   Tuple     					=					[
				    [x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row]			)]
				    for row in range(len(lowerCAmelCase_			)			)
				]
				lowerCAmelCase_			:   str     					=					list(transpose(lowerCAmelCase_			)			)
				return scalar_multiply(lowerCAmelCase_			, 1 / det			)



def       lowerCAmelCase			(		lowerCAmelCase_			)->			bool:
				return not isinstance(lowerCAmelCase_			, lowerCAmelCase_			) and not isinstance(matrix[0]			, lowerCAmelCase_			)



def       lowerCAmelCase			(		lowerCAmelCase_			)->			tuple[int, int]:
				return len(lowerCAmelCase_			), len(matrix[0]			)



def       lowerCAmelCase			(		lowerCAmelCase_			, lowerCAmelCase_			)->			tuple[tuple[int, int], tuple[int, int]]:
				lowerCAmelCase_			:   Union[str, Any]     					=					_shape(lowerCAmelCase_			) + _shape(lowerCAmelCase_			)
				if shape[0] != shape[3] or shape[1] != shape[2]:
								lowerCAmelCase_			:   Optional[Any]     					=					(
								    '''operands could not be broadcast together with shape '''
								    f"""({shape[0], shape[1]}), ({shape[2], shape[3]})"""
								)
								raise ValueError(lowerCAmelCase_			)
				return (shape[0], shape[2]), (shape[1], shape[3])



def       lowerCAmelCase			(		)->			None:
				lowerCAmelCase_			:   str     					=					[[12, 10], [3, 9]]
				lowerCAmelCase_			:   List[str]     					=					[[3, 4], [7, 4]]
				lowerCAmelCase_			:   str     					=					[[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
				lowerCAmelCase_			:   List[str]     					=					[[3, 0, 2], [2, 0, -2], [0, 1, 1]]
				print(f"""Add Operation, {add(lowerCAmelCase_			, lowerCAmelCase_			) = } \n"""			)
				print(
				    f"""Multiply Operation, {multiply(lowerCAmelCase_			, lowerCAmelCase_			) = } \n"""			, )
				print(f"""Identity: {identity(5			)}\n"""			)
				print(f"""Minor of {matrix_c} = {minor(lowerCAmelCase_			, 1			, 2			)} \n"""			)
				print(f"""Determinant of {matrix_b} = {determinant(lowerCAmelCase_			)} \n"""			)
				print(f"""Inverse of {matrix_d} = {inverse(lowerCAmelCase_			)}\n"""			)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()



import tempfile
import unittest

from diffusers import (
    DDIMScheduler,
    DDPMScheduler,
    DPMSolverMultistepScheduler,
    EulerAncestralDiscreteScheduler,
    EulerDiscreteScheduler,
    PNDMScheduler,
    logging,
)
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diffusers.utils.testing_utils import CaptureLogger







class 					snake_case__(				UpperCAmelCase__				):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__   :	Union[str, Any]       =				"""config.json"""




						@register_to_config
						def __init__(					self ,    __lowercase=2 ,    __lowercase=5 ,    __lowercase=(2, 5) ,    __lowercase="for diffusion" ,    __lowercase=[1, 3] ,    )       ->     int:
										pass







class 					snake_case__(				UpperCAmelCase__				):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__   :	int       =				"""config.json"""




						@register_to_config
						def __init__(					self ,    __lowercase=2 ,    __lowercase=5 ,    __lowercase=(2, 5) ,    __lowercase="for diffusion" ,    __lowercase=[1, 3] ,    )       ->     Optional[Any]:
										pass







class 					snake_case__(				UpperCAmelCase__				):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__   :	int       =				"""config.json"""




						@register_to_config
						def __init__(					self ,    __lowercase=2 ,    __lowercase=5 ,    __lowercase=(2, 5) ,    __lowercase="for diffusion" ,    __lowercase=[1, 3] ,    __lowercase=[1, 3] ,    )       ->     List[str]:
										pass







class 					snake_case__(				UpperCAmelCase__				):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__   :	Optional[Any]       =				"""config.json"""




						@register_to_config
						def __init__(					self ,    __lowercase=2 ,    __lowercase=5 ,    __lowercase=(2, 5) ,    __lowercase="for diffusion" ,    __lowercase=[1, 5] ,    __lowercase=[5, 4] ,    )       ->     List[str]:
										pass







class 					snake_case__(				unittest.TestCase				):







						'''simple docstring'''




						def     lowercase_			(					self				)       ->     str:
										with self.assertRaises(__lowercase				):
														ConfigMixin.load_config('''dummy_path'''				)




						def     lowercase_			(					self				)       ->     Optional[int]:
										lowerCAmelCase_			:   List[str]     					=					SampleObject()
										lowerCAmelCase_			:   Dict     					=					obj.config
										assert config["a"] == 2
										assert config["b"] == 5
										assert config["c"] == (2, 5)
										assert config["d"] == "for diffusion"
										assert config["e"] == [1, 3]

										# init ignore private arguments
										lowerCAmelCase_			:   List[str]     					=					SampleObject(_name_or_path='''lalala'''				)
										lowerCAmelCase_			:   Dict     					=					obj.config
										assert config["a"] == 2
										assert config["b"] == 5
										assert config["c"] == (2, 5)
										assert config["d"] == "for diffusion"
										assert config["e"] == [1, 3]

										# can override default
										lowerCAmelCase_			:   List[Any]     					=					SampleObject(c=6				)
										lowerCAmelCase_			:   Optional[int]     					=					obj.config
										assert config["a"] == 2
										assert config["b"] == 5
										assert config["c"] == 6
										assert config["d"] == "for diffusion"
										assert config["e"] == [1, 3]

										# can use positional arguments.
										lowerCAmelCase_			:   Optional[Any]     					=					SampleObject(1 ,    c=6				)
										lowerCAmelCase_			:   Dict     					=					obj.config
										assert config["a"] == 1
										assert config["b"] == 5
										assert config["c"] == 6
										assert config["d"] == "for diffusion"
										assert config["e"] == [1, 3]




						def     lowercase_			(					self				)       ->     int:
										lowerCAmelCase_			:   List[Any]     					=					SampleObject()
										lowerCAmelCase_			:   str     					=					obj.config

										assert config["a"] == 2
										assert config["b"] == 5
										assert config["c"] == (2, 5)
										assert config["d"] == "for diffusion"
										assert config["e"] == [1, 3]

										with tempfile.TemporaryDirectory() as tmpdirname:
														obj.save_config(__lowercase				)
														lowerCAmelCase_			:   int     					=					SampleObject.from_config(SampleObject.load_config(__lowercase				)				)
														lowerCAmelCase_			:   Optional[Any]     					=					new_obj.config

										# unfreeze configs
										lowerCAmelCase_			:   str     					=					dict(__lowercase				)
										lowerCAmelCase_			:   Any     					=					dict(__lowercase				)

										assert config.pop('''c'''				) == (2, 5)  # instantiated as tuple
										assert new_config.pop('''c'''				) == [2, 5]  # saved & loaded as list because of json
										config.pop('''_use_default_values'''				)
										assert config == new_config




						def     lowercase_			(					self				)       ->     List[str]:
										lowerCAmelCase_			:   Optional[Any]     					=					logging.get_logger('''diffusers.configuration_utils'''				)
										# 30 for warning
										logger.setLevel(3_0				)

										with CaptureLogger(__lowercase				) as cap_logger:
														lowerCAmelCase_			:   int     					=					DDIMScheduler.from_pretrained(
														    '''hf-internal-testing/tiny-stable-diffusion-torch''' ,    subfolder='''scheduler'''				)

										assert ddim.__class__ == DDIMScheduler
										# no warning should be thrown
										assert cap_logger.out == ""




						def     lowercase_			(					self				)       ->     Optional[Any]:
										lowerCAmelCase_			:   List[Any]     					=					logging.get_logger('''diffusers.configuration_utils'''				)
										# 30 for warning
										logger.setLevel(3_0				)

										with CaptureLogger(__lowercase				) as cap_logger:
														lowerCAmelCase_			:   Any     					=					EulerDiscreteScheduler.from_pretrained(
														    '''hf-internal-testing/tiny-stable-diffusion-torch''' ,    subfolder='''scheduler'''				)

										assert euler.__class__ == EulerDiscreteScheduler
										# no warning should be thrown
										assert cap_logger.out == ""




						def     lowercase_			(					self				)       ->     Any:
										lowerCAmelCase_			:   Tuple     					=					logging.get_logger('''diffusers.configuration_utils'''				)
										# 30 for warning
										logger.setLevel(3_0				)

										with CaptureLogger(__lowercase				) as cap_logger:
														lowerCAmelCase_			:   Optional[int]     					=					EulerAncestralDiscreteScheduler.from_pretrained(
														    '''hf-internal-testing/tiny-stable-diffusion-torch''' ,    subfolder='''scheduler'''				)

										assert euler.__class__ == EulerAncestralDiscreteScheduler
										# no warning should be thrown
										assert cap_logger.out == ""




						def     lowercase_			(					self				)       ->     List[Any]:
										lowerCAmelCase_			:   Any     					=					logging.get_logger('''diffusers.configuration_utils'''				)
										# 30 for warning
										logger.setLevel(3_0				)

										with CaptureLogger(__lowercase				) as cap_logger:
														lowerCAmelCase_			:   Dict     					=					PNDMScheduler.from_pretrained(
														    '''hf-internal-testing/tiny-stable-diffusion-torch''' ,    subfolder='''scheduler'''				)

										assert pndm.__class__ == PNDMScheduler
										# no warning should be thrown
										assert cap_logger.out == ""




						def     lowercase_			(					self				)       ->     Tuple:
										lowerCAmelCase_			:   Optional[int]     					=					logging.get_logger('''diffusers.configuration_utils'''				)
										# 30 for warning
										logger.setLevel(3_0				)

										with CaptureLogger(__lowercase				) as cap_logger:
														lowerCAmelCase_			:   int     					=					DDPMScheduler.from_pretrained(
														    '''hf-internal-testing/tiny-stable-diffusion-torch''' ,    subfolder='''scheduler''' ,    prediction_type='''sample''' ,    beta_end=8 ,    )

										with CaptureLogger(__lowercase				) as cap_logger_a:
														lowerCAmelCase_			:   Tuple     					=					DDPMScheduler.from_pretrained('''google/ddpm-celebahq-256''' ,    beta_start=8_8				)

										assert ddpm.__class__ == DDPMScheduler
										assert ddpm.config.prediction_type == "sample"
										assert ddpm.config.beta_end == 8
										assert ddpm_a.config.beta_start == 8_8

										# no warning should be thrown
										assert cap_logger.out == ""
										assert cap_logger_a.out == ""




						def     lowercase_			(					self				)       ->     int:
										lowerCAmelCase_			:   Tuple     					=					logging.get_logger('''diffusers.configuration_utils'''				)
										# 30 for warning
										logger.setLevel(3_0				)

										with CaptureLogger(__lowercase				) as cap_logger:
														lowerCAmelCase_			:   List[str]     					=					DPMSolverMultistepScheduler.from_pretrained(
														    '''hf-internal-testing/tiny-stable-diffusion-torch''' ,    subfolder='''scheduler'''				)

										assert dpm.__class__ == DPMSolverMultistepScheduler
										# no warning should be thrown
										assert cap_logger.out == ""




						def     lowercase_			(					self				)       ->     Optional[Any]:
										# let's first save a config that should be in the form
										#    a=2,
										#    b=5,
										#    c=(2, 5),
										#    d="for diffusion",
										#    e=[1, 3],

										lowerCAmelCase_			:   Dict     					=					SampleObject()

										lowerCAmelCase_			:   Optional[int]     					=					{k: v for k, v in config.config.items() if not k.startswith('''_'''				)}

										# make sure that default config has all keys in `_use_default_values`
										assert set(config_dict.keys()				) == set(config.config._use_default_values				)

										with tempfile.TemporaryDirectory() as tmpdirname:
														config.save_config(__lowercase				)

														# now loading it with SampleObject2 should put f into `_use_default_values`
														lowerCAmelCase_			:   List[Any]     					=					SampleObjecta.from_config(__lowercase				)

														assert "f" in config._use_default_values
														assert config.f == [1, 3]

										# now loading the config, should **NOT** use [1, 3] for `f`, but the default [1, 4] value
										# **BECAUSE** it is part of `config._use_default_values`
										lowerCAmelCase_			:   List[Any]     					=					SampleObjecta.from_config(config.config				)
										assert new_config.f == [5, 4]

										config.config._use_default_values.pop()
										lowerCAmelCase_			:   int     					=					SampleObjecta.from_config(config.config				)
										assert new_config_a.f == [1, 3]

										# Nevertheless "e" should still be correctly loaded to [1, 3] from SampleObject2 instead of defaulting to [1, 5]
										assert new_config_a.e == [1, 3]