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//
//  RealityRendererView.swift
//  RealityRendererTest
//
//  Created by Arthur Schiller on 11.01.24.
//

//  Change Log: by Yasuhito Nagatomo
//  - Added ImageBasedLighting, Mar 2, 2024
//  - Added Camera a rotation animation, Mar 2, 2024

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//
//  RealityDump.swift
//
//  Created by Yasuhito Nagatomo on 2024/01/13.
//

import Foundation
import RealityKit
import SwiftUI

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//
//  ContentView.swift
//  DebugWindow
//
//  Created by Yasuhito Nagatomo on 2023/11/25.
//

import SwiftUI
import RealityKit
import RealityKitContent

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//  ContentView.swift

import SwiftUI
import RealityKit
import RealityKitContent

struct ContentView: View {

    @State private var showImmersiveSpace = false
    @State private var immersiveSpaceIsShown = false

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//  BillboardComponent.swift

import ARKit
import RealityKit
import SwiftUI

public struct BillboardComponent: Component, Codable {
    public init() {}
}

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# Converting Stable Diffusion v2 models to CoreML models, Dec 17,2022
#
# MacBook Air/M1/8GB memory, macOS 13.2 beta, Python 3.8
# apple/ml-stable-diffusion v0.1.0
#
(base) ynaga@YasuhitonoMacBook-Air ~ % conda activate coremlsd2_38
(coremlsd2_38) ynaga@YasuhitonoMacBook-Air ~ % cd Temp
(coremlsd2_38) ynaga@YasuhitonoMacBook-Air Temp % mkdir SD2ModelConvChunked
(coremlsd2_38) ynaga@YasuhitonoMacBook-Air Temp % cd SD2ModelConvChunked 
(coremlsd2_38) ynaga@YasuhitonoMacBook-Air SD2ModelConvChunked % git clone https://github.com/apple/ml-stable-diffusion

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//
//  ContentView.swift
//  coremlsd2test
//
//  Created by Yasuhito Nagatomo on 2022/12/03.
//
//  A sample code using Apple/ml-stable-diffusion library.
//  Preparation:
//  1. convert the PyTorch Stable-Diffusion v2 model to coreml models using Apple's tools.
//  2. import the coreml models into the iOS project.

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//
//  ContentView.swift
//  sfsymbols4sample
//
//  Created by Yasuhito Nagatomo on 2022/06/16.
//  Updated on 2022/06/17 with the advice of @kingatarthur.
//

import SwiftUI

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import simd

// Initializers
simd_quatf()
simd_quatf(vector: simd_float4(0, 0, 0, 1)) // [0, 1, 2]: img, [3]: real
simd_quatf(simd_float3x3(SIMD3<Float>(cos(Float.pi/2), -sin(Float.pi/2), 0), SIMD3<Float>(sin(Float.pi/2), cos(Float.pi/2), 0), SIMD3<Float>(0, 0, 1))) // from 3x3 rotation matrix, which must be orthogonal and have a determinant of 1
simd_float3x3(SIMD3<Float>(cos(Float.pi/2), -sin(Float.pi/2), 0), SIMD3<Float>(sin(Float.pi/2), cos(Float.pi/2), 0), SIMD3<Float>(0, 0, 1)).determinant
simd_quatf(simd_float4x4(SIMD4<Float>(cos(Float.pi/2), -sin(Float.pi/2), 0, 0), SIMD4<Float>(sin(Float.pi/2), cos(Float.pi/2), 0, 0), SIMD4<Float>(0, 0, 1, 0), SIMD4<Float>(0, 0, 0, 1))) // from 4x4 rotation matrix, whose 3x3 part must be orthogonal and have a determinant of 1
simd_quatf(angle: Float.pi/2, axis: SIMD3<Float>(0, 0, -1)) // rotation about an axis
simd_quatf(from: SIMD3<Float>(0, 1, 0), to: SIMD3<Float>(1, 0, 0)) // rotation between two vectors. They should be normalized.

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import simd

// Initializers
simd_float2x3()
simd_float2x3(1)
simd_float2x2(diagonal: SIMD2<Float>.one * 2)
simd_float2x3([SIMD3<Float>(1, 2, 3), SIMD3<Float>(4, 5, 6)])
simd_float2x3(SIMD3<Float>(1, 2, 3), SIMD3<Float>(4, 5, 6))
simd_float2x3(columns: (simd_float3.zero, simd_float3.one))
simd_float2x3(rows: [SIMD2<Float>.zero, SIMD2<Float>.one, SIMD2<Float>.zero])