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Proof step 58 from proof delta-atomic-leb-change (previous step)

wlar[n1] = wl-entry(m1, stat0), wlar[n2] = wl-entry(m0, stat), apebs0[n2] = mkpeb(aehdr, empty, buf1, 0, false), wlar[vtblpnum1, wl-entry(wlar[vtblpnum1].ec, erasing)][n2] = wl-entry(m, stat1), wlar[vtblpnum1, wl-entry(wlar[vtblpnum1].ec, erasing)][n1] = wl-entry(m2, stat2), align↑(datasize(buf, n0), EB_PAGE_SIZE) = align↑(datasize(buf, align↑(datasize(buf, n0), EB_PAGE_SIZE)), EB_PAGE_SIZE), aehdr.valid?, n2 < # wlar, vtblpnum1 < # wlar, n1 < # wlar, n2 < # apebs0, align↑(datasize(buf, n0), EB_PAGE_SIZE) ≤ LEB_SIZE, align↑(datasize(buf, n0), EB_PAGE_SIZE) ≤ # buf, VTBL_VOLID ∈ vols ∧ VTBL_LNUM < # vols[VTBL_VOLID] ∧ vols[VTBL_VOLID][VTBL_LNUM] = ⌜n1⌝ ∨ vtblpnum1 = n1 ⊦ datasize(buf, n0) = 0, datasize(buf, align↑(datasize(buf, n0), EB_PAGE_SIZE)) = 0, n2 = n1, sum-of-differences(ecs(wlar[vtblpnum1, wl-entry(wlar[vtblpnum1].ec, erasing)]).max, ecs(wlar[vtblpnum1, wl-entry(wlar[vtblpnum1].ec, erasing)])) = sum-of-differences(ecs(wlar).max, ecs(wlar)) ∧ ecs(wlar[vtblpnum1, wl-entry(wlar[vtblpnum1].ec, erasing)]) = ecs(wlar) ∧ m = m0 ∧ m2 = m1

Heuristic elimination applied rule insert elim lemma

And obtained the following new goals

Proof step 59:
wlar[vtblpnum1, wl-entry(m3, erasing)][n1] = wl-entry(m2, stat2), wlar[vtblpnum1, wl-entry(m3, erasing)][n2] = wl-entry(m, stat1), apebs0[n2] = mkpeb(aehdr, empty, buf1, 0, false), wlar[n2] = wl-entry(m0, stat), wlar[n1] = wl-entry(m1, stat0), wlar[vtblpnum1] = wl-entry(m3, stat3), align↑(datasize(buf, n0), EB_PAGE_SIZE) = align↑(datasize(buf, align↑(datasize(buf, n0), EB_PAGE_SIZE)), EB_PAGE_SIZE), aehdr.valid?, n2 < # apebs0, n1 < # wlar, vtblpnum1 < # wlar, n2 < # wlar, align↑(datasize(buf, n0), EB_PAGE_SIZE) ≤ # buf, align↑(datasize(buf, n0), EB_PAGE_SIZE) ≤ LEB_SIZE, VTBL_VOLID ∈ vols ∧ VTBL_LNUM < # vols[VTBL_VOLID] ∧ vols[VTBL_VOLID][VTBL_LNUM] = ⌜n1⌝ ∨ vtblpnum1 = n1 ⊦ datasize(buf, align↑(datasize(buf, n0), EB_PAGE_SIZE)) = 0, datasize(buf, n0) = 0, n2 = n1, sum-of-differences(ecs(wlar[vtblpnum1, wl-entry(m3, erasing)]).max, ecs(wlar[vtblpnum1, wl-entry(m3, erasing)])) = sum-of-differences(ecs(wlar).max, ecs(wlar)) ∧ ecs(wlar[vtblpnum1, wl-entry(m3, erasing)]) = ecs(wlar) ∧ m = m0 ∧ m2 = m1

Rule argument

spec: wlentry name: elim-02 seq: ⊦ m = wle.ec ∧ stat = wle.status ↔ wle = wl-entry(m, stat) subst: [wle, m, stat] → [wlar[vtblpnum1], m3, stat3]

Additional information

Used simplifier rules: ⊦ m = wle.ec ∧ stat = wle.status ↔ wle = wl-entry(m, stat); (elim) Used terms: wlar[vtblpnum1], m3, stat3