1 import Base 2 import ../../lib/logic.bend as L 3 import ../../lib/list.bend as LL 4 import ../../../spec/containers/queue.bend as S 5 import ../../../src/containers/queue.bend as DQ 6 import ../../../src/containers/types/queue.bend as E 7 import ./state.bend as ST 8 import ./steps.bend as PS 9 10 # Arbitrary finite operation traces: the real runner refines the spec 11 # runner. Running any list of operations on the queue of a shadow lands on 12 # the queue of another shadow, emits exactly the spec runner's observations, 13 # and the final shadow's model is the spec runner's final state. There is no 14 # size or length premise. 15 16 # ---- projections of a step ---- 17 18 def so_sh(~T: Data, -sh: ST.Shadow, -op: E.Op, so: PS.StepOK(~T, sh, op)) -> ST.Shadow: 19 match so: 20 case Tuple{sh2, r}: 21 sh2 22 23 def so_obs(~T: Data, -sh: ST.Shadow, -op: E.Op, so: PS.StepOK(~T, sh, op)) -> E.Obs: 24 match so: 25 case Tuple{sh2, Tuple{o, r}}: 26 o 27 28 def so_step(~T: Data, -sh: ST.Shadow, -op: E.Op, so: PS.StepOK(~T, sh, op)) -> {DQ.step(~T, ST.real(T, sh), op) == (ST.real(T, so_sh(~T, sh, op, so)), so_obs(~T, sh, op, so)) : DQ.Queue & E.Obs}: 29 match so: 30 case Tuple{sh2, Tuple{o, Tuple{e, s}}}: 31 e 32 33 def so_spec(~T: Data, -sh: ST.Shadow, -op: E.Op, so: PS.StepOK(~T, sh, op)) -> {(ST.model(T, so_sh(~T, sh, op, so)), so_obs(~T, sh, op, so)) == S.step(T, ST.model(T, sh), op) : List<&2, T> & E.Obs}: 34 match so: 35 case Tuple{sh2, Tuple{o, Tuple{e, s}}}: 36 s 37 38 # ---- the run ---- 39 40 def srun_obs(-T: Data, ops: List<&2, E.Op>, m: List<&2, T>) -> List<&2, E.Obs>: 41 Pair.snd(List<&2, T>, List<&2, E.Obs>, S.run(T, ops, m)) 42 43 def srun_state(-T: Data, ops: List<&2, E.Op>, m: List<&2, T>) -> List<&2, T>: 44 Pair.fst(List<&2, T>, List<&2, E.Obs>, S.run(T, ops, m)) 45 46 def spec_run_cons(-T: Data, +op: E.Op, +rest: List<&2, E.Op>, +m: List<&2, T>, +m1: List<&2, T>, +o: E.Obs, +e: {(m1, o) == S.step(T, m, op) : List<&2, T> & E.Obs}) -> {S.run(T, Con{op, rest}, m) == (srun_state(T, rest, m1), Con{o, srun_obs(T, rest, m1)}) : List<&2, T> & List<&2, E.Obs>}: 47 %e : {S.cons_obs(T, Pair.snd(List<&2, T>, E.Obs, _), S.run(T, rest, Pair.fst(List<&2, T>, E.Obs, _))) == (srun_state(T, rest, m1), Con{o, srun_obs(T, rest, m1)}) : List<&2, T> & List<&2, E.Obs>} 48 %Equal.sym(List<&2, T> & List<&2, E.Obs>, S.run(T, rest, m1), (srun_state(T, rest, m1), srun_obs(T, rest, m1)), L.pair_eta(List<&2, T>, List<&2, E.Obs>, S.run(T, rest, m1))) : {S.cons_obs(T, o, _) == (srun_state(T, rest, m1), Con{o, srun_obs(T, rest, m1)}) : List<&2, T> & List<&2, E.Obs>} 49 {==} 50 51 def RunOK(~T: Data, ops: List<&2, E.Op>, sh: ST.Shadow, acc: List<&2, E.Obs>) -> Type: 52 Sigma<&1, &1, ST.Shadow, sh2 => {DQ.run_acc(~T, ops, (ST.real(T, sh), acc)) == (ST.real(T, sh2), List.reverse.go(&2, E.Obs, srun_obs(T, ops, ST.model(T, sh)), acc)) : DQ.Queue & List<&2, E.Obs>} & {ST.model(T, sh2) == srun_state(T, ops, ST.model(T, sh)) : List<&2, T>}> 53 54 def ro_sh(~T: Data, -ops: List<&2, E.Op>, -sh: ST.Shadow, -acc: List<&2, E.Obs>, r: RunOK(~T, ops, sh, acc)) -> ST.Shadow: 55 match r: 56 case Tuple{sh2, x}: 57 sh2 58 59 def ro_run(~T: Data, -ops: List<&2, E.Op>, -sh: ST.Shadow, -acc: List<&2, E.Obs>, r: RunOK(~T, ops, sh, acc)) -> {DQ.run_acc(~T, ops, (ST.real(T, sh), acc)) == (ST.real(T, ro_sh(~T, ops, sh, acc, r)), List.reverse.go(&2, E.Obs, srun_obs(T, ops, ST.model(T, sh)), acc)) : DQ.Queue & List<&2, E.Obs>}: 60 match r: 61 case Tuple{sh2, Tuple{e, m}}: 62 e 63 64 def ro_model(~T: Data, -ops: List<&2, E.Op>, -sh: ST.Shadow, -acc: List<&2, E.Obs>, r: RunOK(~T, ops, sh, acc)) -> {ST.model(T, ro_sh(~T, ops, sh, acc, r)) == srun_state(T, ops, ST.model(T, sh)) : List<&2, T>}: 65 match r: 66 case Tuple{sh2, Tuple{e, m}}: 67 m 68 69 def run_ok(~T: Data, +ops: List<&2, E.Op>, +sh: ST.Shadow, +acc: List<&2, E.Obs>) -> RunOK(~T, ops, sh, acc): 70 match ops: 71 case Nil{}: 72 (sh, ({==}, {==})) 73 case Con{+op, +rest}: 74 +m = ST.model(T, sh) 75 +sh1 = so_sh(~T, sh, op, PS.step_ok(~T, sh, op)) 76 +o = so_obs(~T, sh, op, PS.step_ok(~T, sh, op)) 77 +m1 = ST.model(T, sh1) 78 +acc1 = {Con{o, acc} : List<&2, E.Obs>} 79 +sh2 = ro_sh(~T, rest, sh1, acc1, run_ok(~T, rest, sh1, acc1)) 80 +es = spec_run_cons(T, op, rest, m, m1, o, so_spec(~T, sh, op, PS.step_ok(~T, sh, op))) 81 -R = S.run(T, rest, m1) 82 (sh2, ( 83 %Equal.sym(DQ.Queue & E.Obs, DQ.step(~T, ST.real(T, sh), op), (ST.real(T, sh1), o), so_step(~T, sh, op, PS.step_ok(~T, sh, op))) : {DQ.run_acc(~T, rest, DQ.record(~T, acc, _)) == (ST.real(T, sh2), List.reverse.go(&2, E.Obs, srun_obs(T, Con{op, rest}, m), acc)) : DQ.Queue & List<&2, E.Obs>} 84 %Equal.sym(DQ.Queue & List<&2, E.Obs>, DQ.run_acc(~T, rest, (ST.real(T, sh1), acc1)), (ST.real(T, sh2), List.reverse.go(&2, E.Obs, srun_obs(T, rest, m1), acc1)), ro_run(~T, rest, sh1, acc1, run_ok(~T, rest, sh1, acc1))) : {_ == (ST.real(T, sh2), List.reverse.go(&2, E.Obs, srun_obs(T, Con{op, rest}, m), acc)) : DQ.Queue & List<&2, E.Obs>} 85 %Equal.sym(List<&2, T> & List<&2, E.Obs>, S.run(T, Con{op, rest}, m), (Pair.fst(List<&2, T>, List<&2, E.Obs>, R), Con{o, Pair.snd(List<&2, T>, List<&2, E.Obs>, R)}), es) : {(ST.real(T, sh2), List.reverse.go(&2, E.Obs, srun_obs(T, rest, m1), acc1)) == (ST.real(T, sh2), List.reverse.go(&2, E.Obs, Pair.snd(List<&2, T>, List<&2, E.Obs>, _), acc)) : DQ.Queue & List<&2, E.Obs>} 86 {==}, 87 %Equal.sym(List<&2, T> & List<&2, E.Obs>, S.run(T, Con{op, rest}, m), (Pair.fst(List<&2, T>, List<&2, E.Obs>, R), Con{o, Pair.snd(List<&2, T>, List<&2, E.Obs>, R)}), es) : {ST.model(T, sh2) == Pair.fst(List<&2, T>, List<&2, E.Obs>, _) : List<&2, T>} 88 ro_model(~T, rest, sh1, acc1, run_ok(~T, rest, sh1, acc1)))) 89 90 def run_from(~T: Data, +ops: List<&2, E.Op>, +sh0: ST.Shadow) -> {DQ.run(~T, ops, ST.real(T, sh0)) == (ST.real(T, ro_sh(~T, ops, sh0, Nil{}, run_ok(~T, ops, sh0, Nil{}))), srun_obs(T, ops, ST.model(T, sh0))) : DQ.Queue & List<&2, E.Obs>}: 91 +sh2 = ro_sh(~T, ops, sh0, Nil{}, run_ok(~T, ops, sh0, Nil{})) 92 +os = srun_obs(T, ops, ST.model(T, sh0)) 93 %Equal.sym(DQ.Queue & List<&2, E.Obs>, DQ.run_acc(~T, ops, (ST.real(T, sh0), Nil{})), (ST.real(T, sh2), List.reverse.go(&2, E.Obs, os, Nil{})), ro_run(~T, ops, sh0, Nil{}, run_ok(~T, ops, sh0, Nil{}))) : {DQ.finish(~T, _) == (ST.real(T, sh2), os) : DQ.Queue & List<&2, E.Obs>} 94 %Equal.sym(List<&2, E.Obs>, List.reverse(&2, E.Obs, List.reverse.go(&2, E.Obs, os, Nil{})), os, LL.rev_rev(E.Obs, os)) : {(ST.real(T, sh2), _) == (ST.real(T, sh2), os) : DQ.Queue & List<&2, E.Obs>} 95 {==} 96 97 def TraceOK(~T: Data, ops: List<&2, E.Op>, sh0: ST.Shadow) -> Type: 98 Sigma<&1, &1, ST.Shadow, sh2 => {DQ.run(~T, ops, ST.real(T, sh0)) == (ST.real(T, sh2), srun_obs(T, ops, ST.model(T, sh0))) : DQ.Queue & List<&2, E.Obs>} & {ST.model(T, sh2) == srun_state(T, ops, ST.model(T, sh0)) : List<&2, T>}> 99 100 def trace_from(~T: Data, +ops: List<&2, E.Op>, +sh0: ST.Shadow) -> TraceOK(~T, ops, sh0): 101 (ro_sh(~T, ops, sh0, Nil{}, run_ok(~T, ops, sh0, Nil{})), 102 (run_from(~T, ops, sh0), 103 ro_model(~T, ops, sh0, Nil{}, run_ok(~T, ops, sh0, Nil{}))))