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@@ -26,10 +26,33 @@ The edit-mode regression suite SHALL cover the client path that buffers and cons
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- **THEN** the test verifies the resulting interpolation or latest-snapshot clamp decision matches the MVP remote-presentation rules
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### Requirement: Gameplay-flow regressions include a fake-transport authoritative round trip
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The edit-mode regression suite SHALL include at least one deterministic fake-transport test that spans client send behavior, server-authoritative processing, and outgoing authoritative results. That round-trip regression MUST cover `MoveInput -> PlayerState` and `ShootInput -> CombatEvent` within the same MVP gameplay-flow suite.
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The edit-mode regression suite SHALL include at least one deterministic fake-transport test that spans client send behavior, server-authoritative processing, and outgoing authoritative results. That round-trip regression MUST cover `MoveInput -> PlayerState` and `ShootInput -> CombatEvent` within the same MVP gameplay-flow suite, and it MUST assert that authoritative movement stepping follows the configured cadence contract.
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#### Scenario: Fake-transport round trip preserves server authority across movement and combat
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- **WHEN** an edit-mode regression test drives gameplay input through fake client/server transports and advances the server authority loop
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- **THEN** the authoritative server path emits `PlayerState` snapshots in response to movement input
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- **THEN** the authoritative server path emits `PlayerState` snapshots in response to movement input using the configured authoritative movement cadence
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- **THEN** the authoritative server path emits `CombatEvent` results in response to shooting input
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- **THEN** the combined test protects both client single-session input flow and server multi-session authoritative behavior from regression
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### Requirement: Gameplay-flow regressions cover controlled-player correction decisions
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The edit-mode regression suite SHALL cover the controlled-player reconciliation path after authoritative movement replay, including bounded correction for small cadence-aligned error, correction replacement under consecutive authoritative snapshots, and hard snap fallback for large or non-convergent divergence.
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#### Scenario: Controlled-player reconciliation uses bounded correction for small error
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- **WHEN** an edit-mode regression test applies an authoritative local `PlayerState` that leaves only small post-replay divergence
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- **THEN** the controlled-player path keeps authoritative ownership of the snapshot
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- **THEN** visible correction converges without an immediate hard snap on the acceptance frame
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#### Scenario: Controlled-player reconciliation updates active correction on repeated small snapshots
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- **WHEN** an edit-mode regression test feeds multiple authoritative local `PlayerState` updates whose residual divergence remains inside bounded-correction limits while a prior correction is still active
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- **THEN** the controlled-player path replaces or folds the active correction according to the sync strategy
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- **THEN** the test proves the client does not accumulate multiple stale correction tails
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#### Scenario: Controlled-player reconciliation snaps on large divergence
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- **WHEN** an edit-mode regression test applies an authoritative local `PlayerState` that leaves divergence beyond the configured snap threshold
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- **THEN** the controlled-player path immediately applies the authoritative transform state
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- **THEN** later prediction resumes from that authoritative baseline
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#### Scenario: Controlled-player reconciliation snaps after failed convergence
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- **WHEN** an edit-mode regression test feeds consecutive authoritative local `PlayerState` updates that keep bounded correction from converging within the configured budget
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- **THEN** the controlled-player path escalates to a hard snap
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- **THEN** the active correction state is cleared before later local prediction continues
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