deploy(nvsim): include nvsim-pkg WASM artifacts (force past wasm-pack .gitignore)

This commit is contained in:
ruv 2026-04-26 20:14:04 -04:00
parent fdac4bfcda
commit 87bc2fe505
6 changed files with 905 additions and 0 deletions

231
nvsim/nvsim-pkg/README.md Normal file
View File

@ -0,0 +1,231 @@
# nvsim
**Deterministic Rust simulator for NV-diamond ensemble magnetometers.**
Synthesise the magnetic-field trace a real sensor *would have produced*
without the hardware, the lab, or the $8 K vendor receipt.
---
## What this is, in one paragraph
NV-diamond magnetometers are exotic but real: they detect magnetic fields by
shining green laser at a diamond and watching how its red fluorescence shifts
under microwave excitation. They are sensitive enough to feel a person's
heartbeat from across a room — when they work. The catch: a working ensemble
sensor costs ~$8 K and lives in a lab. **`nvsim` runs the same forward
pipeline in software**, end-to-end, deterministically, so you can ask "what
would my magnetometer have seen if a steel rebar walked past it" without
wiring up any of it.
It is **not** a hardware-control stack, microscope simulator, full
Hamiltonian solver, or claim of fT-level sensitivity. This crate does not
control lasers, microwave sources, ADC hardware, or real NV sensors. It is
a deterministic Rust simulator with **explicit physics approximations and
no hidden mocks** — every formula is cited; every conjectural default is
flagged in code; every random number comes from a seeded ChaCha20 PRNG.
## Why you might use it
| If you are a… | …`nvsim` lets you… |
|---|---|
| **Sensor researcher** evaluating a new pipeline | Replay a synthetic trace through your own DSP and check it against a published-physics ground truth before buying hardware |
| **DSP / ML engineer** building anomaly detectors | Generate magnetic-anomaly traces with a known answer key — useful for regression replay, deterministic CI, and "did my detector regress?" gates |
| **Educator** teaching magnetometry / NV physics | Run real Biot-Savart, Lorentzian ODMR, and 4-axis projection in Rust without standing up a Python+QuTiP environment |
| **RuView pipeline contributor** | Get a binary `MagFrame` shape (`0xC51A_6E70`) you can plumb into existing observability, with optional ruvector trace compression behind a feature flag |
| **Auditor / compliance reviewer** | Re-run the included determinism check (`same scene + seed → byte-identical proof bundle`) and verify the simulator's output across machines without re-running the whole pipeline |
## Capabilities (what's shipping today)
| Capability | What's in the crate |
|---|---|
| **Scene primitives** | `DipoleSource`, `CurrentLoop`, `FerrousObject`, `EddyCurrent`, `Scene` aggregate. JSON round-trip safe. |
| **Magnetic-field synthesis** | Closed-form analytic dipole, numerical Biot-Savart over 64-segment current loops, linearly-induced ferrous-object moment, multi-source aggregation. **All in `f64`** for near-field stability; clamped at 1 mm with a saturation flag. |
| **Per-material attenuation** | Air / drywall / brick / dry concrete / reinforced concrete / sheet steel — with a `HEAVY_ATTENUATION` flag for the materials whose loss values are admittedly conjectural. **NaN-safe** on adversarial input (negative or non-finite path lengths). |
| **NV-ensemble physics** | ODMR Lorentzian (FWHM ≈ 1 MHz), shot-noise floor `δB ∝ 1/(γ_e·C·√(N·t·T₂*))`, T₂ decay envelope, 4-axis 〈111〉 crystallographic projection with closed-form LSQ inversion. Defaults match Barry et al. *Rev. Mod. Phys.* 92 (2020) Table III for COTS bulk diamond. |
| **Determinism** | Same `(B_in, dt, seed)` → byte-identical `NvReading`. ChaCha20-seeded shot noise; no global state, no time-of-day field, no allocator randomness. |
| **Binary frame format** | `MagFrame` — 60-byte fixed-layout record, magic `0xC51A_6E70` (distinct from ADR-018 CSI `0xC51F...` and ADR-084 sketch `0xC511_0084`). Round-trips byte-exact, deserialiser rejects bad magic / bad version / wrong length without panicking. |
### Not yet shipped (next two passes)
- `digitiser.rs` — ADC quantization + 4ᵗʰ-order Butterworth anti-alias + lockin demodulation
- `pipeline.rs` — wires every stage end-to-end and emits a `MagFrame` stream
- `proof.rs` + criterion bench — deterministic SHA-256 witness bundle + ≥ 1 kHz wall-clock throughput target
These complete the six-pass plan in
`docs/research/quantum-sensing/15-nvsim-implementation-plan.md`.
## How it compares
The closest existing tools each cover one slice of what `nvsim` covers
end-to-end. Nothing in the open-source ecosystem (as of early 2026) covers
the whole forward pipeline at once — see
`docs/research/quantum-sensing/14-nv-diamond-sensor-simulator.md` §2.2.
| Tool | Source synthesis | Material attenuation | NV ensemble physics | Digitiser + lockin | Witness bundle | Language |
|---|---|---|---|---|---|---|
| [Magpylib](https://magpylib.readthedocs.io/) | ✅ analytic dipole + Biot-Savart | ❌ | ❌ | ❌ | ❌ | Python |
| [QuTiP](https://qutip.org/) NV scripts | ❌ | ❌ | ✅ full Hamiltonian + Lindblad | ❌ | ❌ | Python |
| Vendor sims (Element Six, etc.) | partial | partial | ✅ proprietary | partial | ❌ | closed |
| **`nvsim`** | ✅ analytic + Biot-Savart | ✅ 6 materials, NaN-safe | ✅ leading-order ensemble proxy | 🚧 Pass 5 | 🚧 Pass 6 | Rust, deterministic |
`nvsim` deliberately **does not** try to compete with QuTiP on Hamiltonian
fidelity (full Lindblad solver is plan §6 out-of-scope). It picks the
linear-readout proxy that Barry 2020 §III.A validates as adequate for
ensemble magnetometers in the linear regime, and ships that path
end-to-end with witness-anchored reproducibility.
## Value proposition
You get **three things at once** that no other open simulator combines:
1. **Forward end-to-end pipeline.** Scene → source → propagation → NV → digitiser → frame → witness, in one crate, in one language. No Python ↔ Rust marshalling, no manual gluing of three half-tools.
2. **Strong determinism.** Same inputs and seed → byte-identical output across machines, runs, and time. CI pipelines treat the simulator's output as a content-addressable artifact: a SHA-256 over the frame stream is the build's "did the physics drift?" canary.
3. **Honest physics.** Every formula is cited. Every conjectural default is flagged in code, not buried in a footnote. The acceptance suite includes a Wolf 2015 sanity-floor test that fires if anyone silently changes the ensemble constants — i.e. the simulator can tell you when its own model breaks.
The cost: `nvsim` is a *forward simulator only*. It does not do inverse
problems (estimating field sources from sensor readings), full Hamiltonian
dynamics, or hardware control. If you need those, you escalate to QuTiP,
COMSOL, or a real lab respectively.
## Usage guide
### Install
```bash
# Inside the workspace:
cargo build -p nvsim --no-default-features
cargo test -p nvsim --no-default-features # currently 34 passing
```
`nvsim` is a standalone leaf crate. It depends only on `serde`, `thiserror`,
`tracing`, `rand`, and `rand_chacha`. RuView ecosystem integrations
(`wifi-densepose-core` frame alignment, `ruvector-core` trace compression)
land behind feature flags after the core simulator is shipping. None are
required to use this crate.
### Synthesize a scene's magnetic field at a sensor
```rust
use nvsim::{Scene, DipoleSource, scene_field_at};
let mut scene = Scene::new();
// 1 mA·m² dipole at (0,0,0.5 m) pointing along +ẑ
scene.add_dipole(DipoleSource::new([0.0, 0.0, 0.5], [0.0, 0.0, 1.0e-3]));
// Field at the origin
let (b_tesla, near_field_flag) = scene_field_at(&scene, [0.0, 0.0, 0.0]);
println!("B = {:?} T (near-field saturated: {})", b_tesla, near_field_flag);
```
### Run the full sensor model
```rust
use nvsim::{NvSensor, NvSensorConfig};
let sensor = NvSensor::cots_defaults();
let b_in = [1.0e-9, 0.0, 0.0]; // 1 nT along +x̂
let dt = 1.0e-3; // 1 ms integration
let seed = 0xCAFE_BABE;
let reading = sensor.sample(b_in, dt, seed);
println!("recovered B = {:?}", reading.b_recovered);
println!("σ per axis = {:?} T", reading.sigma_per_axis);
println!("δB floor = {:e} T/√Hz", reading.noise_floor_t_sqrt_hz);
```
### Apply per-material attenuation
```rust
use nvsim::{attenuate, LosSegment, Material};
let b_in = [1.0e-9, 0.0, 0.0];
let segments = [
LosSegment { material: Material::Air, path_m: 1.0 },
LosSegment { material: Material::Drywall, path_m: 0.1 },
LosSegment { material: Material::ReinforcedConcrete, path_m: 0.2 }, // raises HEAVY flag
];
let (b_attenuated, heavy) = attenuate(b_in, &segments);
```
### Serialise a binary frame
```rust
use nvsim::{MagFrame, MAG_FRAME_MAGIC};
use nvsim::frame::flag;
let mut f = MagFrame::empty(7); // sensor_id 7
f.b_pt = [1500.0, -250.0, 800.0]; // pT
f.set_flag(flag::ADC_SATURATED);
let bytes = f.to_bytes(); // 60 bytes, deterministic
let parsed = MagFrame::from_bytes(&bytes)
.expect("round-trip must succeed");
assert_eq!(parsed, f);
```
## Acceptance commitments (per implementation plan §5)
These are the four numbers `nvsim` commits to as a finished simulator:
- **Pipeline throughput**: ≥ 1 kHz simulated samples per second of wall-clock on a Cortex-A53-class CPU.
- **Determinism**: same `(scene, seed)` produces byte-identical proof-bundle output across runs and machines.
- **Noise-floor reproduction**: simulator with shot noise OFF reproduces the analytical Biot-Savart result to ≤ 0.1% RMS.
- **Lockin SNR floor**: 1 nT @ 1 kHz vs 100 pT/√Hz floor → SNR ≥ 10 in 1 s.
The first and last numbers come online with Pass 5/6. The middle two are
already enforced in the test suite.
## Physics primary sources
- Jackson, *Classical Electrodynamics* 3e (1999), §5.45.8 — BiotSavart, dipole field.
- Doherty et al., *Phys. Rep.* 528, 1 (2013) — NV ground-state Hamiltonian, ODMR transition.
- Barry et al., *Rev. Mod. Phys.* 92, 015004 (2020) — NV-ensemble sensitivity, Lorentzian lineshape, T₁/T₂/T₂*, contrast and spin-count defaults.
- Wolf et al., *Phys. Rev. X* 5, 041001 (2015) — bulk-diamond pT/√Hz reference floor used as the sanity-floor test boundary.
- Cullity & Graham, *Introduction to Magnetic Materials* 2e (2009), Ch. 2 — χ_steel for ferrous-object linear-induced moment.
- Ortner & Bandeira, *SoftwareX* 11, 100466 (2020) — Magpylib reference implementation for analytic dipole / current-loop fields.
For the full SOTA survey and the build/skip verdict, see
`docs/research/quantum-sensing/14-nv-diamond-sensor-simulator.md`. For the
six-pass implementation plan that drives the build, see
`docs/research/quantum-sensing/15-nvsim-implementation-plan.md`.
## Limitations and out-of-scope
Per `15-nvsim-implementation-plan.md` §6:
- Single-NV imaging / ODMR scanning microscopy — `nvsim` is room-scale, not nm.
- Full Lindblad solver, NV-NV entanglement, photonic-crystal cavities — escalate to QuTiP if needed.
- Diamond growth / NV creation chemistry — vendor (Element Six, Adamas) handles.
- Cryogenic operation — RuView ships room-temperature; `nvsim` follows.
- Real hardware control (laser drivers, microwave sources, AOM) — `nvsim` is forward-only.
- Pulsed dynamical-decoupling sequences — defer to dedicated tooling.
- fT-floor sensitivity claims — out of COTS reach in 2026; `nvsim` commits to a pT-floor honestly.
- Inverse problems — given sensor readings, the simulator does not estimate scene parameters back.
If your use case needs any of the above, `nvsim` is the wrong starting
point. If your use case is *forward simulation of a deterministic NV
magnetometer pipeline you can run in CI*, it is the right one.
## WebAssembly
`nvsim` is **WASM-ready by construction**. Zero `std::time` / `std::fs` /
`std::env` / `std::process` / `std::thread` / `Mutex` / `RwLock` calls in
the crate's source — every dependency in the tree (`serde`, `thiserror`,
`tracing`, `rand`, `rand_chacha`, `sha2`, `ndarray`) compiles cleanly to
`wasm32-unknown-unknown`. The shot-noise PRNG is seeded from a
caller-supplied `u64` so no OS-entropy bridge is needed.
```bash
rustup target add wasm32-unknown-unknown # one-time, on the dev machine
cargo build -p nvsim --target wasm32-unknown-unknown --no-default-features
```
Why it matters: cluster-Pi inference, browser-side sensor demos, and
Cloudflare-Worker / Deno-deploy edge workloads can all run the
deterministic pipeline. A 28-byte `MagFrame` shape and a 32-byte SHA-256
witness make it straightforward to ship simulator output across any
HTTP / WebSocket / IPC channel.
## License
MIT OR Apache-2.0 (matches workspace default).

116
nvsim/nvsim-pkg/nvsim.d.ts vendored Normal file
View File

@ -0,0 +1,116 @@
/* tslint:disable */
/* eslint-disable */
/**
* In-browser pipeline. Wraps [`Pipeline`] with JS-friendly construction
* (JSON for `Scene` and `PipelineConfig`) and `Vec<u8>` outputs (raw
* concatenated [`MagFrame`] bytes 60 bytes/frame, magic `0xC51A_6E70`).
*/
export class WasmPipeline {
free(): void;
[Symbol.dispose](): void;
/**
* nvsim build version (semver from Cargo.toml).
*/
static buildVersion(): string;
/**
* Bytes-per-frame for v1 `60` today; surfaced so the dashboard
* can advance its parse cursor without re-deriving the layout.
*/
static frameBytes(): number;
/**
* Magic constant for the `MagFrame` v1 binary record. The dashboard's
* hex-dump panel highlights these four bytes (`0xC51A_6E70` `701A6EC5`
* little-endian) as a sanity check.
*/
static frameMagic(): number;
/**
* Construct from JSON strings + a `seed` (BigInt-friendly; passed in
* as `f64` since wasm-bindgen does not yet ergonomically pass `u64`,
* then bit-cast through `as u64`). The dashboard sends seeds as
* `Number(seed_hex)` from a 32-bit value to fit cleanly.
*/
constructor(scene_json: string, config_json: string, seed: number);
/**
* Run `n_samples` of the pipeline and return the concatenated raw
* `MagFrame` bytes (`n_samples * sensors * 60` bytes). The dashboard
* parses this into typed records on the main thread.
*/
run(n_samples: number): Uint8Array;
/**
* Run + SHA-256 witness in one call. Returns a JS object
* `{ frames: Uint8Array, witness: Uint8Array }`. Same
* `(scene, config, seed)` produces byte-identical `witness` across
* runs, machines, and transports the regression dashboard pins.
*/
runWithWitness(n_samples: number): any;
}
/**
* Expected reference witness for `Proof::REFERENCE_SCENE_JSON @ seed=42,
* N=256` — the bytes the dashboard's Verify panel compares against.
*/
export function expectedReferenceWitnessHex(): string;
/**
* Hex-encode a 32-byte witness for display.
*/
export function hexWitness(witness: Uint8Array): string;
/**
* Convenience: parse the bundled reference scene to JSON. Lets the
* dashboard's "load reference scene" flow round-trip through the Rust
* type system instead of duplicating the JSON literal in the JS code.
*/
export function referenceSceneJson(): string;
/**
* Run the canonical reference pipeline (`Proof::generate`) end-to-end and
* return the SHA-256 witness as a 32-byte `Uint8Array`. This is the
* dashboard's source of truth for the Verify-witness panel.
*/
export function referenceWitness(): Uint8Array;
export type InitInput = RequestInfo | URL | Response | BufferSource | WebAssembly.Module;
export interface InitOutput {
readonly memory: WebAssembly.Memory;
readonly __wbg_wasmpipeline_free: (a: number, b: number) => void;
readonly expectedReferenceWitnessHex: (a: number) => void;
readonly hexWitness: (a: number, b: number, c: number) => void;
readonly referenceSceneJson: (a: number) => void;
readonly referenceWitness: (a: number) => void;
readonly wasmpipeline_buildVersion: (a: number) => void;
readonly wasmpipeline_frameBytes: () => number;
readonly wasmpipeline_frameMagic: () => number;
readonly wasmpipeline_new: (a: number, b: number, c: number, d: number, e: number, f: number) => void;
readonly wasmpipeline_run: (a: number, b: number, c: number) => void;
readonly wasmpipeline_runWithWitness: (a: number, b: number, c: number) => void;
readonly __wbindgen_export: (a: number) => void;
readonly __wbindgen_add_to_stack_pointer: (a: number) => number;
readonly __wbindgen_export2: (a: number, b: number, c: number) => void;
readonly __wbindgen_export3: (a: number, b: number) => number;
readonly __wbindgen_export4: (a: number, b: number, c: number, d: number) => number;
}
export type SyncInitInput = BufferSource | WebAssembly.Module;
/**
* Instantiates the given `module`, which can either be bytes or
* a precompiled `WebAssembly.Module`.
*
* @param {{ module: SyncInitInput }} module - Passing `SyncInitInput` directly is deprecated.
*
* @returns {InitOutput}
*/
export function initSync(module: { module: SyncInitInput } | SyncInitInput): InitOutput;
/**
* If `module_or_path` is {RequestInfo} or {URL}, makes a request and
* for everything else, calls `WebAssembly.instantiate` directly.
*
* @param {{ module_or_path: InitInput | Promise<InitInput> }} module_or_path - Passing `InitInput` directly is deprecated.
*
* @returns {Promise<InitOutput>}
*/
export default function __wbg_init (module_or_path?: { module_or_path: InitInput | Promise<InitInput> } | InitInput | Promise<InitInput>): Promise<InitOutput>;

507
nvsim/nvsim-pkg/nvsim.js Normal file
View File

@ -0,0 +1,507 @@
/* @ts-self-types="./nvsim.d.ts" */
/**
* In-browser pipeline. Wraps [`Pipeline`] with JS-friendly construction
* (JSON for `Scene` and `PipelineConfig`) and `Vec<u8>` outputs (raw
* concatenated [`MagFrame`] bytes 60 bytes/frame, magic `0xC51A_6E70`).
*/
export class WasmPipeline {
__destroy_into_raw() {
const ptr = this.__wbg_ptr;
this.__wbg_ptr = 0;
WasmPipelineFinalization.unregister(this);
return ptr;
}
free() {
const ptr = this.__destroy_into_raw();
wasm.__wbg_wasmpipeline_free(ptr, 0);
}
/**
* nvsim build version (semver from Cargo.toml).
* @returns {string}
*/
static buildVersion() {
let deferred1_0;
let deferred1_1;
try {
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
wasm.wasmpipeline_buildVersion(retptr);
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
deferred1_0 = r0;
deferred1_1 = r1;
return getStringFromWasm0(r0, r1);
} finally {
wasm.__wbindgen_add_to_stack_pointer(16);
wasm.__wbindgen_export2(deferred1_0, deferred1_1, 1);
}
}
/**
* Bytes-per-frame for v1 `60` today; surfaced so the dashboard
* can advance its parse cursor without re-deriving the layout.
* @returns {number}
*/
static frameBytes() {
const ret = wasm.wasmpipeline_frameBytes();
return ret >>> 0;
}
/**
* Magic constant for the `MagFrame` v1 binary record. The dashboard's
* hex-dump panel highlights these four bytes (`0xC51A_6E70` `701A6EC5`
* little-endian) as a sanity check.
* @returns {number}
*/
static frameMagic() {
const ret = wasm.wasmpipeline_frameMagic();
return ret >>> 0;
}
/**
* Construct from JSON strings + a `seed` (BigInt-friendly; passed in
* as `f64` since wasm-bindgen does not yet ergonomically pass `u64`,
* then bit-cast through `as u64`). The dashboard sends seeds as
* `Number(seed_hex)` from a 32-bit value to fit cleanly.
* @param {string} scene_json
* @param {string} config_json
* @param {number} seed
*/
constructor(scene_json, config_json, seed) {
try {
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
const ptr0 = passStringToWasm0(scene_json, wasm.__wbindgen_export3, wasm.__wbindgen_export4);
const len0 = WASM_VECTOR_LEN;
const ptr1 = passStringToWasm0(config_json, wasm.__wbindgen_export3, wasm.__wbindgen_export4);
const len1 = WASM_VECTOR_LEN;
wasm.wasmpipeline_new(retptr, ptr0, len0, ptr1, len1, seed);
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true);
if (r2) {
throw takeObject(r1);
}
this.__wbg_ptr = r0 >>> 0;
WasmPipelineFinalization.register(this, this.__wbg_ptr, this);
return this;
} finally {
wasm.__wbindgen_add_to_stack_pointer(16);
}
}
/**
* Run `n_samples` of the pipeline and return the concatenated raw
* `MagFrame` bytes (`n_samples * sensors * 60` bytes). The dashboard
* parses this into typed records on the main thread.
* @param {number} n_samples
* @returns {Uint8Array}
*/
run(n_samples) {
try {
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
wasm.wasmpipeline_run(retptr, this.__wbg_ptr, n_samples);
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
var v1 = getArrayU8FromWasm0(r0, r1).slice();
wasm.__wbindgen_export2(r0, r1 * 1, 1);
return v1;
} finally {
wasm.__wbindgen_add_to_stack_pointer(16);
}
}
/**
* Run + SHA-256 witness in one call. Returns a JS object
* `{ frames: Uint8Array, witness: Uint8Array }`. Same
* `(scene, config, seed)` produces byte-identical `witness` across
* runs, machines, and transports the regression dashboard pins.
* @param {number} n_samples
* @returns {any}
*/
runWithWitness(n_samples) {
try {
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
wasm.wasmpipeline_runWithWitness(retptr, this.__wbg_ptr, n_samples);
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true);
if (r2) {
throw takeObject(r1);
}
return takeObject(r0);
} finally {
wasm.__wbindgen_add_to_stack_pointer(16);
}
}
}
if (Symbol.dispose) WasmPipeline.prototype[Symbol.dispose] = WasmPipeline.prototype.free;
/**
* Expected reference witness for `Proof::REFERENCE_SCENE_JSON @ seed=42,
* N=256` — the bytes the dashboard's Verify panel compares against.
* @returns {string}
*/
export function expectedReferenceWitnessHex() {
let deferred1_0;
let deferred1_1;
try {
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
wasm.expectedReferenceWitnessHex(retptr);
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
deferred1_0 = r0;
deferred1_1 = r1;
return getStringFromWasm0(r0, r1);
} finally {
wasm.__wbindgen_add_to_stack_pointer(16);
wasm.__wbindgen_export2(deferred1_0, deferred1_1, 1);
}
}
/**
* Hex-encode a 32-byte witness for display.
* @param {Uint8Array} witness
* @returns {string}
*/
export function hexWitness(witness) {
let deferred3_0;
let deferred3_1;
try {
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
const ptr0 = passArray8ToWasm0(witness, wasm.__wbindgen_export3);
const len0 = WASM_VECTOR_LEN;
wasm.hexWitness(retptr, ptr0, len0);
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true);
var r3 = getDataViewMemory0().getInt32(retptr + 4 * 3, true);
var ptr2 = r0;
var len2 = r1;
if (r3) {
ptr2 = 0; len2 = 0;
throw takeObject(r2);
}
deferred3_0 = ptr2;
deferred3_1 = len2;
return getStringFromWasm0(ptr2, len2);
} finally {
wasm.__wbindgen_add_to_stack_pointer(16);
wasm.__wbindgen_export2(deferred3_0, deferred3_1, 1);
}
}
/**
* Convenience: parse the bundled reference scene to JSON. Lets the
* dashboard's "load reference scene" flow round-trip through the Rust
* type system instead of duplicating the JSON literal in the JS code.
* @returns {string}
*/
export function referenceSceneJson() {
let deferred1_0;
let deferred1_1;
try {
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
wasm.referenceSceneJson(retptr);
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
deferred1_0 = r0;
deferred1_1 = r1;
return getStringFromWasm0(r0, r1);
} finally {
wasm.__wbindgen_add_to_stack_pointer(16);
wasm.__wbindgen_export2(deferred1_0, deferred1_1, 1);
}
}
/**
* Run the canonical reference pipeline (`Proof::generate`) end-to-end and
* return the SHA-256 witness as a 32-byte `Uint8Array`. This is the
* dashboard's source of truth for the Verify-witness panel.
* @returns {Uint8Array}
*/
export function referenceWitness() {
try {
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
wasm.referenceWitness(retptr);
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true);
if (r2) {
throw takeObject(r1);
}
return takeObject(r0);
} finally {
wasm.__wbindgen_add_to_stack_pointer(16);
}
}
function __wbg_get_imports() {
const import0 = {
__proto__: null,
__wbg___wbindgen_throw_6ddd609b62940d55: function(arg0, arg1) {
throw new Error(getStringFromWasm0(arg0, arg1));
},
__wbg_length_ea16607d7b61445b: function(arg0) {
const ret = getObject(arg0).length;
return ret;
},
__wbg_new_ab79df5bd7c26067: function() {
const ret = new Object();
return addHeapObject(ret);
},
__wbg_new_with_length_825018a1616e9e55: function(arg0) {
const ret = new Uint8Array(arg0 >>> 0);
return addHeapObject(ret);
},
__wbg_set_7eaa4f96924fd6b3: function() { return handleError(function (arg0, arg1, arg2) {
const ret = Reflect.set(getObject(arg0), getObject(arg1), getObject(arg2));
return ret;
}, arguments); },
__wbg_set_8c0b3ffcf05d61c2: function(arg0, arg1, arg2) {
getObject(arg0).set(getArrayU8FromWasm0(arg1, arg2));
},
__wbindgen_cast_0000000000000001: function(arg0) {
// Cast intrinsic for `F64 -> Externref`.
const ret = arg0;
return addHeapObject(ret);
},
__wbindgen_cast_0000000000000002: function(arg0, arg1) {
// Cast intrinsic for `Ref(String) -> Externref`.
const ret = getStringFromWasm0(arg0, arg1);
return addHeapObject(ret);
},
__wbindgen_object_drop_ref: function(arg0) {
takeObject(arg0);
},
};
return {
__proto__: null,
"./nvsim_bg.js": import0,
};
}
const WasmPipelineFinalization = (typeof FinalizationRegistry === 'undefined')
? { register: () => {}, unregister: () => {} }
: new FinalizationRegistry(ptr => wasm.__wbg_wasmpipeline_free(ptr >>> 0, 1));
function addHeapObject(obj) {
if (heap_next === heap.length) heap.push(heap.length + 1);
const idx = heap_next;
heap_next = heap[idx];
heap[idx] = obj;
return idx;
}
function dropObject(idx) {
if (idx < 1028) return;
heap[idx] = heap_next;
heap_next = idx;
}
function getArrayU8FromWasm0(ptr, len) {
ptr = ptr >>> 0;
return getUint8ArrayMemory0().subarray(ptr / 1, ptr / 1 + len);
}
let cachedDataViewMemory0 = null;
function getDataViewMemory0() {
if (cachedDataViewMemory0 === null || cachedDataViewMemory0.buffer.detached === true || (cachedDataViewMemory0.buffer.detached === undefined && cachedDataViewMemory0.buffer !== wasm.memory.buffer)) {
cachedDataViewMemory0 = new DataView(wasm.memory.buffer);
}
return cachedDataViewMemory0;
}
function getStringFromWasm0(ptr, len) {
ptr = ptr >>> 0;
return decodeText(ptr, len);
}
let cachedUint8ArrayMemory0 = null;
function getUint8ArrayMemory0() {
if (cachedUint8ArrayMemory0 === null || cachedUint8ArrayMemory0.byteLength === 0) {
cachedUint8ArrayMemory0 = new Uint8Array(wasm.memory.buffer);
}
return cachedUint8ArrayMemory0;
}
function getObject(idx) { return heap[idx]; }
function handleError(f, args) {
try {
return f.apply(this, args);
} catch (e) {
wasm.__wbindgen_export(addHeapObject(e));
}
}
let heap = new Array(1024).fill(undefined);
heap.push(undefined, null, true, false);
let heap_next = heap.length;
function passArray8ToWasm0(arg, malloc) {
const ptr = malloc(arg.length * 1, 1) >>> 0;
getUint8ArrayMemory0().set(arg, ptr / 1);
WASM_VECTOR_LEN = arg.length;
return ptr;
}
function passStringToWasm0(arg, malloc, realloc) {
if (realloc === undefined) {
const buf = cachedTextEncoder.encode(arg);
const ptr = malloc(buf.length, 1) >>> 0;
getUint8ArrayMemory0().subarray(ptr, ptr + buf.length).set(buf);
WASM_VECTOR_LEN = buf.length;
return ptr;
}
let len = arg.length;
let ptr = malloc(len, 1) >>> 0;
const mem = getUint8ArrayMemory0();
let offset = 0;
for (; offset < len; offset++) {
const code = arg.charCodeAt(offset);
if (code > 0x7F) break;
mem[ptr + offset] = code;
}
if (offset !== len) {
if (offset !== 0) {
arg = arg.slice(offset);
}
ptr = realloc(ptr, len, len = offset + arg.length * 3, 1) >>> 0;
const view = getUint8ArrayMemory0().subarray(ptr + offset, ptr + len);
const ret = cachedTextEncoder.encodeInto(arg, view);
offset += ret.written;
ptr = realloc(ptr, len, offset, 1) >>> 0;
}
WASM_VECTOR_LEN = offset;
return ptr;
}
function takeObject(idx) {
const ret = getObject(idx);
dropObject(idx);
return ret;
}
let cachedTextDecoder = new TextDecoder('utf-8', { ignoreBOM: true, fatal: true });
cachedTextDecoder.decode();
const MAX_SAFARI_DECODE_BYTES = 2146435072;
let numBytesDecoded = 0;
function decodeText(ptr, len) {
numBytesDecoded += len;
if (numBytesDecoded >= MAX_SAFARI_DECODE_BYTES) {
cachedTextDecoder = new TextDecoder('utf-8', { ignoreBOM: true, fatal: true });
cachedTextDecoder.decode();
numBytesDecoded = len;
}
return cachedTextDecoder.decode(getUint8ArrayMemory0().subarray(ptr, ptr + len));
}
const cachedTextEncoder = new TextEncoder();
if (!('encodeInto' in cachedTextEncoder)) {
cachedTextEncoder.encodeInto = function (arg, view) {
const buf = cachedTextEncoder.encode(arg);
view.set(buf);
return {
read: arg.length,
written: buf.length
};
};
}
let WASM_VECTOR_LEN = 0;
let wasmModule, wasm;
function __wbg_finalize_init(instance, module) {
wasm = instance.exports;
wasmModule = module;
cachedDataViewMemory0 = null;
cachedUint8ArrayMemory0 = null;
return wasm;
}
async function __wbg_load(module, imports) {
if (typeof Response === 'function' && module instanceof Response) {
if (typeof WebAssembly.instantiateStreaming === 'function') {
try {
return await WebAssembly.instantiateStreaming(module, imports);
} catch (e) {
const validResponse = module.ok && expectedResponseType(module.type);
if (validResponse && module.headers.get('Content-Type') !== 'application/wasm') {
console.warn("`WebAssembly.instantiateStreaming` failed because your server does not serve Wasm with `application/wasm` MIME type. Falling back to `WebAssembly.instantiate` which is slower. Original error:\n", e);
} else { throw e; }
}
}
const bytes = await module.arrayBuffer();
return await WebAssembly.instantiate(bytes, imports);
} else {
const instance = await WebAssembly.instantiate(module, imports);
if (instance instanceof WebAssembly.Instance) {
return { instance, module };
} else {
return instance;
}
}
function expectedResponseType(type) {
switch (type) {
case 'basic': case 'cors': case 'default': return true;
}
return false;
}
}
function initSync(module) {
if (wasm !== undefined) return wasm;
if (module !== undefined) {
if (Object.getPrototypeOf(module) === Object.prototype) {
({module} = module)
} else {
console.warn('using deprecated parameters for `initSync()`; pass a single object instead')
}
}
const imports = __wbg_get_imports();
if (!(module instanceof WebAssembly.Module)) {
module = new WebAssembly.Module(module);
}
const instance = new WebAssembly.Instance(module, imports);
return __wbg_finalize_init(instance, module);
}
async function __wbg_init(module_or_path) {
if (wasm !== undefined) return wasm;
if (module_or_path !== undefined) {
if (Object.getPrototypeOf(module_or_path) === Object.prototype) {
({module_or_path} = module_or_path)
} else {
console.warn('using deprecated parameters for the initialization function; pass a single object instead')
}
}
if (module_or_path === undefined) {
module_or_path = new URL('nvsim_bg.wasm', import.meta.url);
}
const imports = __wbg_get_imports();
if (typeof module_or_path === 'string' || (typeof Request === 'function' && module_or_path instanceof Request) || (typeof URL === 'function' && module_or_path instanceof URL)) {
module_or_path = fetch(module_or_path);
}
const { instance, module } = await __wbg_load(await module_or_path, imports);
return __wbg_finalize_init(instance, module);
}
export { initSync, __wbg_init as default };

Binary file not shown.

19
nvsim/nvsim-pkg/nvsim_bg.wasm.d.ts vendored Normal file
View File

@ -0,0 +1,19 @@
/* tslint:disable */
/* eslint-disable */
export const memory: WebAssembly.Memory;
export const __wbg_wasmpipeline_free: (a: number, b: number) => void;
export const expectedReferenceWitnessHex: (a: number) => void;
export const hexWitness: (a: number, b: number, c: number) => void;
export const referenceSceneJson: (a: number) => void;
export const referenceWitness: (a: number) => void;
export const wasmpipeline_buildVersion: (a: number) => void;
export const wasmpipeline_frameBytes: () => number;
export const wasmpipeline_frameMagic: () => number;
export const wasmpipeline_new: (a: number, b: number, c: number, d: number, e: number, f: number) => void;
export const wasmpipeline_run: (a: number, b: number, c: number) => void;
export const wasmpipeline_runWithWitness: (a: number, b: number, c: number) => void;
export const __wbindgen_export: (a: number) => void;
export const __wbindgen_add_to_stack_pointer: (a: number) => number;
export const __wbindgen_export2: (a: number, b: number, c: number) => void;
export const __wbindgen_export3: (a: number, b: number) => number;
export const __wbindgen_export4: (a: number, b: number, c: number, d: number) => number;

View File

@ -0,0 +1,32 @@
{
"name": "nvsim",
"type": "module",
"collaborators": [
"rUv <ruv@ruv.net>",
"WiFi-DensePose Contributors"
],
"description": "Deterministic NV-diamond magnetometer pipeline simulator (source -> propagation -> NV ensemble -> ADC + lockin demod)",
"version": "0.3.0",
"license": "MIT OR Apache-2.0",
"repository": {
"type": "git",
"url": "https://github.com/ruvnet/wifi-densepose"
},
"files": [
"nvsim_bg.wasm",
"nvsim.js",
"nvsim.d.ts"
],
"main": "nvsim.js",
"types": "nvsim.d.ts",
"sideEffects": [
"./snippets/*"
],
"keywords": [
"nv-diamond",
"magnetometer",
"simulator",
"physics",
"biot-savart"
]
}