engine: downstream MTU and downstream train in the measurement document
Three facts the client cannot produce alone, kept deliberately separate: mtu.pmtud_down (largest datagram that arrives unfragmented — meaningful only because the server sets DF), mtu.frag_delivery (whether larger ones arrive once fragmentation is allowed), and train.udp_downstream (loss, reordering and arrival spacing in the download direction, which a round trip cannot separate from upstream loss). ServerMeasurement now runs them on the same ProbeSession as the echo train. It had to: a fresh session restarts client-side sequence numbers and the server's anti-replay window discards the lot, so the re-primed source is never recorded and every granted send goes to a socket that has already closed. That produced four confidently-wrong FAILED tests and a RED verdict on a healthy network. Live against fmr: path MTU 1500, fragments to 4000, 100/100 downstream, GREEN. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Claude Fable 5
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@@ -69,6 +69,8 @@ object TestType {
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const val TRACEROUTE_ICMP6 = "traceroute.icmp6"
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// train
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const val TRAIN_UDP_UPDOWN = "train.udp_updown"
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/** Server-to-client train under a §3.4 grant: the direction a round trip cannot separate. */
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const val TRAIN_UDP_DOWNSTREAM = "train.udp_downstream"
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// mtu
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const val MTU_PMTUD_UP = "mtu.pmtud_up"
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const val MTU_PMTUD_DOWN = "mtu.pmtud_down"
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@@ -69,6 +69,8 @@ object TestType {
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const val TRACEROUTE_ICMP6 = "traceroute.icmp6"
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// train
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const val TRAIN_UDP_UPDOWN = "train.udp_updown"
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/** Server-to-client train under a §3.4 grant: the direction a round trip cannot separate. */
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const val TRAIN_UDP_DOWNSTREAM = "train.udp_downstream"
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// mtu
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const val MTU_PMTUD_UP = "mtu.pmtud_up"
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const val MTU_PMTUD_DOWN = "mtu.pmtud_down"
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