mixle.experimental.typed_runtime.acceptance module¶
Evidence gates for frontier-training and effective-context claims.
- class AcceptanceGateReceipt(gate, status, claims, observed, evidence_uri=None, required_evidence_count=1, observed_evidence_count=0, required_fields=())[source]
Bases:
objectOne falsifiable gate attached to one or more public claims.
- class ClaimKind(*values)[source]
Bases:
StrEnumScale claims guarded by independently inspectable evidence.
- class FrontierClaimAssessment(gates)[source]
Bases:
objectClaim decision that remains false for failed or missing required evidence.
- Parameters:
gates (tuple[AcceptanceGateReceipt, ...])
- class ScaleRunReceipt(run_id, accelerator_count, host_count, real_distributed_transport, model_parameters, source_horizon_tokens, maximum_active_context_tokens, baseline_time_to_target_seconds, candidate_time_to_target_seconds, baseline_peak_memory_bytes, candidate_peak_memory_bytes, quality_target_achieved, worker_loss_recovered, replay_verified, provenance_complete, evidence_uri)[source]
Bases:
objectExternally measured scale evidence consumed by the claim evaluator.
- Parameters:
run_id (str)
accelerator_count (int)
host_count (int)
real_distributed_transport (bool)
model_parameters (int)
source_horizon_tokens (int)
maximum_active_context_tokens (int)
baseline_time_to_target_seconds (float | None)
candidate_time_to_target_seconds (float | None)
baseline_peak_memory_bytes (int | None)
candidate_peak_memory_bytes (int | None)
quality_target_achieved (bool)
worker_loss_recovered (bool)
replay_verified (bool)
provenance_complete (bool)
evidence_uri (str)
- property resource_improvement_measured: bool
Whether candidate time-to-target or peak memory beats its paired baseline.
- assess_frontier_claims(pilot, scale_run=None)[source]
Apply the work plan’s conservative claim policy to local and scale receipts.
- Parameters:
pilot (GraphMemoryPilotReceipt)
scale_run (ScaleRunReceipt | None)
- Return type:
FrontierClaimAssessment