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//
//  PlacesSearchSession.swift
//  No Maps
//
//  Created by Michael A Edgcumbe on 3/19/23.
//

import Foundation
import CloudKit

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//
//  VideoConverter.swift
//  SpatialVideoConverter
//
//  Created by Michael A Edgcumbe on 2/21/24.
//

import Foundation
import AVFoundation
import VideoToolbox

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import Foundation
import CoreMIDI
import Combine

// MARK: - MIDI Command Mapping

/// A namespace for mapping CDJ-3000 MIDI commands from the official PDF.
/// We focus on MIDI 1.0 Channel Voice messages (Note On/Off, Control Change).
/// "n" (e.g., 9n, Bn) corresponds to the MIDI channel (0-15).
private enum CDJ3000Commands {

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import Foundation
import CoreMIDI

// Note: This file assumes the `MIDIAdapter.h` and `MIDIAdapter.mm` files
// from your project are available and included in the build target.
// It also assumes Core MIDI definitions like MIDIMessage_32 are available.
// --- UPDATE: We are removing the MIDIAdapter dependency for this class ---

// Define a simple Deck ID for clarity
public enum DeckID: Sendable {

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import Foundation

/// A `Sendable` struct for defining a single MIDI Note message.
public struct MidiNoteMapping: Sendable, Equatable {
    public var channel: UInt8
    public var note: UInt8
}

/// A `Sendable` struct for defining a single MIDI Control Change (CC) message.
public struct MidiControlChangeMapping: Sendable, Equatable {

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import Foundation
import Combine
import SwiftUI

/// An `ObservableObject` ViewModel that subscribes to a `CDJ3000Manager`
/// and publishes its state for a SwiftUI View.
///
/// This class is marked with `@MainActor`, which ensures that all UI-related
/// state updates are automatically published on the main thread.
@MainActor

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Good — this is the right moment to reset. Your current env is in “dependency whack-a-mole mode,” so a clean stack will actually save time.

Below is a **known-stable Windows 11 + RTX 3080 Ti + OneTrainer SDXL LoRA setup** that avoids all the version traps you just hit (torch/torchvision/xformers/numpy/diffusers mismatches).

---

# 🧨 CLEAN INSTALL SCRIPT (Windows 11 / SDXL / OneTrainer)

## ⚠️ What this does

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        - conda activate qwen
        - python -m mlx_lm server \
        -   --model unsloth/Qwen3.6-35B-A3B-UD-MLX-4bit \
        -   --port 8000 \
        -   --max-tokens 8192 \
        -   --prompt-concurrency 4 \
        -   --decode-concurrency 1 \
        -   --prompt-cache-bytes 32G \
        -   --trust-remote-code

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conda create -n qwen python=3.11 -y
conda activate qwen
pip install mlx-lm
python -m mlx_lm server --model unsloth/Qwen3.6-35B-A3B-UD-MLX-4bit --port 8000 --max-tokens 16384 --prompt-concurrency 2048 --decode-concurrency 1 --prompt-cache-bytes 45G --trust-remote-code

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# Local AI Video Production Pipeline — Student Edition (May 2026)

---

## Overview

This guide describes a fully offline, modular AI filmmaking pipeline split across two machines:

| Machine | Role |
|---|---|