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<meta name="description" content="The bearer of prop closest to a point, by squared distance.">
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<div class="crumbs"><a href="api.html">API Reference</a> <span>›</span> <a href="ns-query.html">Query</a> <span>›</span> <span class="here">Query.nearest</span></div>
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<span class="kind-badge kind-method">method</span>
<h1 id="top">Query.nearest</h1>
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<code class="sig">Query.nearest(prop, pos, x_field, y_field, x, y) -&gt; int</code>
<div class="desc"><p>Returns the live entity carrying <code>prop</code> whose position is closest to <code>(x, y)</code>, or <code>-1</code> if none. Position comes from property <code>pos</code> at its integer fields <code>x_field</code> and <code>y_field</code> — pass the same id for <code>prop</code> and <code>pos</code> to query the coordinate component itself, or a separate tag for <code>prop</code> to mean "nearest <em>Enemy</em>". Distance is compared by exact squared integer distance (no square root), and ties go to the lower entity id, so the result is fully deterministic. The go-to for target acquisition, "interact with the closest thing", or nearest-neighbour AI.</p></div>
<div class="params"><h2>Parameters</h2><div class="param" id="param-prop"><code class="pname">prop</code><span class="pdesc">the property that filters which entities are considered</span></div><div class="param" id="param-pos"><code class="pname">pos</code><span class="pdesc">the property holding the coordinates</span></div></div>
<div class="examples"><h2>Example</h2><pre data-lang="ludic">program Demo {
property Position { col: int = 0, row: int = 0 }
property Enemy { hp: int = 0 }
model Slime { Position, Enemy }
entry {
spawn Slime { Position { col: 2, row: 0 }, Enemy { hp: 3 } }
spawn Slime { Position { col: 9, row: 0 }, Enemy { hp: 3 } }
let E = World.prop_id("Enemy")
let P = World.prop_id("Position")
let cx = World.field_id(P, "col")
let cy = World.field_id(P, "row")
let e = Query.nearest(E, P, cx, cy, 0, 0) # the enemy at col 2
print(World.get(e, P, cx)) # 2
}
}</pre></div>
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