Max Selector (`maxSelectorNode`)

Category: Neural Network

Intended behavior

Winner-take-all: outputs the highest value among its auto-growing inputs (a, b, c…), like lateral inhibition picking the strongest signal.

Inputs

ID	Label	Type	Unwired default
`a`	A	number	0
`b`	B	number	0
`enabled`	Enabled	boolean	true

Outputs

ID	Label	Type	Default
`out`	Max	number	undefined

Configuration defaults

{
  "dynamicInputs": true
}

Observed frontend behavior

This calls the production passive computation with the declared input/config defaults. Cached state, trigger execution and project wiring are separate.

{
  "kind": "passive-default-probe",
  "outputs": {
    "out": 0
  }
}

Observed backend behavior

Offline production passive computation with the same declared defaults; no device or model service is invoked.

{
  "kind": "passive-default-probe",
  "outputs": {
    "out": 0
  }
}

Current frontend implementation

Extracted production branches; helper calls and project execution context are defined in the referenced modules.

src/lib/execution-helpers.ts:283

case "maxSelectorNode": {
      const vals = Object.entries(inputs)
        .filter(([key]) => key !== "enabled")
        .map(([, v]) => Number(v))
        .filter((v) => !isNaN(v));
      outputs.out = vals.length ? Math.max(...vals) : 0;
      break;
    }

Implementation references

Verification limits

Default passive probe is an observation, not proof of all configurations, trigger behavior, or correctness. See ../NODE_RUNTIME_AUDIT.md and ../AUDIT_VALIDATION.md for test evidence.
Enabled=false uses the runtime bypass mapping; bypass output can differ from the normal declared output type.

Source fingerprint: 7e9d192bd3a559a7c50253919867601ef02c311d61e859f7afb4cadcfa508430. Rebuild with npm run docs:index.

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