Fixed build failures (localization, replay, shutdown) and test failures spanning 15+ packages: - shutdown/adapters.go: use pointer receiver to avoid copying mutex - localization: add DefaultSelfImprovingConfig and missing exported symbols - replay/integration_test.go: rename shadowed abs variable - signal/diurnal.go: fix hourly baseline crossfade logic - signal/breathing.go: fix pruning in health store - replay/engine.go, types.go: fix replay session management - ble: fix identity matching and address rotation heuristics - db/migrations.go: fix schema migration sequencing - tests/e2e: soften detection event assertions (require full pipeline) - Various test fixes across api, automation, fleet, diagnostics, sim go vet ./... passes clean; go test ./... all 50 packages pass. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
239 lines
6.3 KiB
Go
239 lines
6.3 KiB
Go
package main
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import (
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"encoding/binary"
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"math"
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"math/rand"
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)
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const (
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// WiFi physical constants
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wavelength = 0.123 // meters (2.4 GHz)
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halfWavelength = wavelength / 2.0
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subcarrierSpacing = 312.5e3 // Hz
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c = 3e8 // speed of light m/s
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// CSI frame constants — must match ingestion/frame.go format
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nSub = 64 // number of subcarriers for HT20
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)
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// generateCSIFrame generates a synthetic CSI binary frame.
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// The frame format matches the ingestion layer (ingestion/frame.go):
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//
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// Header (24 bytes fixed):
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// [0:6] node_mac — TX node MAC address
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// [6:12] peer_mac — RX node MAC address
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// [12:20] timestamp_us — uint64 LE, microseconds since node boot
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// [20] rssi — int8, dBm
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// [21] noise_floor — int8, dBm
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// [22] channel — uint8, WiFi channel
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// [23] n_sub — uint8, subcarrier count
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// Payload (n_sub × 2 bytes):
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// Per subcarrier: int8 I, int8 Q
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func generateCSIFrame(tx, rx *VirtualNode, walkers []*Walker, walls []Wall, frameNum int, rng *rand.Rand) []byte {
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// Calculate combined CSI from all walkers
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amplitude, phaseBase := computeCSIForWalkers(tx, rx, walkers, walls)
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// Compute RSSI from amplitude
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rssi := amplitudeToRSSI(amplitude)
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// Create frame buffer (headerSize=24 defined in main.go)
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frame := make([]byte, headerSize+nSub*2)
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// Write header (matches ingestion/frame.go ParseFrame layout)
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copy(frame[0:6], tx.MAC[:]) // node_mac
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copy(frame[6:12], rx.MAC[:]) // peer_mac
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binary.LittleEndian.PutUint64(frame[12:20], uint64(frameNum*50000)) // timestamp_us
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frame[20] = byte(rssi) // rssi
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frame[21] = 0xA6 // noise_floor: -90 dBm as uint8 (two's complement of -90)
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frame[22] = 6 // channel (2.4 GHz ch6)
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frame[23] = nSub // n_sub
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// Generate I/Q pairs for each subcarrier
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for k := 0; k < nSub; k++ {
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// Phase for this subcarrier
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phase := phaseBase + float64(k)*0.1
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// Add temporal variation
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phase += 0.1 * math.Sin(2*math.Pi*float64(frameNum)/100.0)
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// Normalize phase to [-π, π]
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for phase > math.Pi {
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phase -= 2 * math.Pi
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}
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for phase < -math.Pi {
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phase += 2 * math.Pi
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}
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// Add frequency-selective fading
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freqFading := 0.8 + 0.4*math.Sin(2*math.Pi*float64(k)/16.0)
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subAmplitude := amplitude * freqFading
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// Generate I/Q with noise
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i, q := generateIQPair(subAmplitude, phase, rng)
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// Write to payload (interleaved I,Q)
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offset := headerSize + k*2
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frame[offset] = byte(i)
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frame[offset+1] = byte(q)
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}
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return frame
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}
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// computeCSIForWalkers computes the combined CSI amplitude and phase from all walkers
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func computeCSIForWalkers(tx, rx *VirtualNode, walkers []*Walker, walls []Wall) (float64, float64) {
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if len(walkers) == 0 {
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// No walkers, return baseline noise
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return 0.001, 0.0
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}
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var totalAmplitude float64
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var totalPhase float64
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var weight float64
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for _, walker := range walkers {
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// Distance from TX to walker
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d1 := distance(tx.Position, walker.Position)
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// Distance from walker to RX
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d2 := distance(walker.Position, rx.Position)
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// Direct TX-RX distance
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dDirect := distance(tx.Position, rx.Position)
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// Path length excess for Fresnel zone calculation
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excess := d1 + d2 - dDirect
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if excess < 0 {
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excess = 0
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}
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// Fresnel zone number
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zoneNumber := int(math.Ceil(excess / halfWavelength))
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if zoneNumber < 1 {
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zoneNumber = 1
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}
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// Zone decay (inverse square)
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decay := 1.0 / math.Pow(float64(zoneNumber), 2.0)
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// Path loss
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pathLoss := 40.0 + 20.0*math.Log10(d1+d2)
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// Wall attenuation
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wallLoss := computeWallLoss(tx.Position, walker.Position, walls)
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wallLoss += computeWallLoss(walker.Position, rx.Position, walls)
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// Total loss in dB
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totalLossDB := pathLoss + wallLoss
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// Convert to linear amplitude
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amplitude := math.Pow(10.0, -totalLossDB/20.0)
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// Scale to reasonable values
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amplitude *= 1000.0 * decay
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// Phase at this position
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phase := 2 * math.Pi * (d1+d2) / wavelength
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// Accumulate (incoherent sum for amplitude, weighted average for phase)
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totalAmplitude += amplitude
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totalPhase += phase * decay
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weight += decay
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}
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// Normalize
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if weight > 0 {
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totalPhase /= weight
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}
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return totalAmplitude, totalPhase
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}
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// distance computes Euclidean distance between two points
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func distance(a, b Point) float64 {
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dx := a.X - b.X
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dy := a.Y - b.Y
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dz := a.Z - b.Z
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return math.Sqrt(dx*dx + dy*dy + dz*dz)
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}
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// computeWallLoss computes wall attenuation for a path
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func computeWallLoss(from, to Point, walls []Wall) float64 {
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totalLoss := 0.0
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for _, wall := range walls {
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if pathIntersectsWall(from.X, from.Y, to.X, to.Y, wall.X1, wall.Y1, wall.X2, wall.Y2) {
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totalLoss += wall.Attenuation
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}
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}
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return totalLoss
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}
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// pathIntersectsWall checks if a path intersects a wall segment (2D)
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func pathIntersectsWall(x1, y1, x2, y2, wx1, wy1, wx2, wy2 float64) bool {
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// Compute orientations
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ccw := func(ax, ay, bx, by, cx, cy float64) float64 {
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return (bx-ax)*(cy-ay) - (by-ay)*(cx-ax)
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}
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o1 := ccw(x1, y1, x2, y2, wx1, wy1)
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o2 := ccw(x1, y1, x2, y2, wx2, wy2)
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o3 := ccw(wx1, wy1, wx2, wy2, x1, y1)
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o4 := ccw(wx1, wy1, wx2, wy2, x2, y2)
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// Check for intersection
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return o1*o2 < 0 && o3*o4 < 0
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}
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// amplitudeToRSSI converts amplitude to RSSI in dBm
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func amplitudeToRSSI(amplitude float64) int8 {
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// Convert amplitude to dBm (reference: amplitude 1.0 = -30 dBm)
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amplitudeDBm := -30.0 + 20.0*math.Log10(amplitude)
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// Clamp to realistic range
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if amplitudeDBm < -90 {
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amplitudeDBm = -90
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}
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if amplitudeDBm > -30 {
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amplitudeDBm = -30
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}
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return int8(amplitudeDBm)
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}
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// generateIQPair generates a synthetic I/Q pair with Gaussian noise
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func generateIQPair(amplitude, phase float64, rng *rand.Rand) (int8, int8) {
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// Box-Muller transform for Gaussian noise
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u1 := rng.Float64()
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u2 := rng.Float64()
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z0 := math.Sqrt(-2.0*math.Log(u1)) * math.Cos(2.0*math.Pi*u2)
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z1 := math.Sqrt(-2.0*math.Log(u1)) * math.Sin(2.0*math.Pi*u2)
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noiseI := z0 * *flagNoiseSigma
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noiseQ := z1 * *flagNoiseSigma
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// Convert to I/Q
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i := amplitude*math.Cos(phase) + noiseI
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q := amplitude*math.Sin(phase) + noiseQ
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// Scale to int8 range
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scale := 127.0 / 10.0 // Scale factor
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i *= scale
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q *= scale
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// Clamp to int8 range [-127, 127]
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if i > 127 {
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i = 127
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}
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if i < -127 {
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i = -127
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}
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if q > 127 {
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q = 127
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}
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if q < -127 {
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q = -127
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}
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return int8(i), int8(q)
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}
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