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AssignRfreeFlags gains a min_free_reflections floor (default 500): on small data, where the 5% fraction would give too few test reflections for a stable R-free (Brunger's ~500-2000 rule), the fraction is lifted toward ~500 free reflections, capped at 10% so a large test set never steals working data. An explicit rfree_fraction is still honoured; pass 0 to disable. For ordinary data (5% already clears the floor) this is inactive and the fraction stays flat, so the cross-dataset-identical property is preserved; the floor only lifts the fraction on genuinely small datasets, where per-dataset R-free stability outweighs cross-dataset identity (a shared reference set keeps exact identity there). Tests updated to isolate the pure-hash guarantees with the floor off, plus a new small-data floor + cap test. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
183 lines
7.7 KiB
C++
183 lines
7.7 KiB
C++
// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#include <catch2/catch_all.hpp>
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#include <map>
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#include <tuple>
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#include <vector>
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#include "../image_analysis/scale_merge/RfreeFlags.h"
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namespace {
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MergedReflection Refl(int h, int k, int l, float d) {
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MergedReflection r;
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r.h = h; r.k = k; r.l = l; r.d = d;
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r.I = 100.0f; r.sigma = 10.0f;
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return r;
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}
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// A spread of reflections with a monotone, mate-consistent d (mates share |hkl|).
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std::vector<MergedReflection> Grid(int hmin, int hmax) {
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std::vector<MergedReflection> v;
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for (int h = hmin; h <= hmax; ++h)
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for (int k = 0; k <= 15; ++k)
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for (int l = 0; l <= 15; ++l) {
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if (h == 0 && k == 0 && l == 0) continue;
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v.push_back(Refl(h, k, l, 60.0f / (1 + h * h + k * k + l * l)));
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}
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return v;
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}
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double FreeFraction(const std::vector<MergedReflection>& v) {
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int n = 0; for (const auto& r : v) n += r.rfree_flag;
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return static_cast<double>(n) / v.size();
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}
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}
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TEST_CASE("R-free flags are deterministic and hit the requested fraction", "[rfree]") {
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auto a = Grid(-15, 15);
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auto b = a;
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// Floor off (min_free = 0) so this isolates the pure-hash fraction on this modest grid.
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AssignRfreeFlags(a, 1, 0.05, /*min_free=*/0);
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AssignRfreeFlags(b, 1, 0.05, /*min_free=*/0);
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REQUIRE(a.size() == b.size());
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for (size_t i = 0; i < a.size(); ++i)
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CHECK(a[i].rfree_flag == b[i].rfree_flag); // pure function of the reflection
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const double frac = FreeFraction(a);
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CHECK(frac > 0.03);
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CHECK(frac < 0.08);
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}
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TEST_CASE("R-free flags never split a Friedel/Bijvoet pair", "[rfree]") {
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// Anomalous representation: I(+) and I(-) are separate rows with the same |hkl|.
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std::vector<MergedReflection> v;
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for (int h = 1; h <= 12; ++h)
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for (int k = 0; k <= 12; ++k)
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for (int l = 0; l <= 12; ++l) {
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const float d = 60.0f / (1 + h * h + k * k + l * l);
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v.push_back(Refl(h, k, l, d));
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v.push_back(Refl(-h, -k, -l, d));
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}
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AssignRfreeFlags(v, 1, 0.10); // P1 -> only Friedel relates the mates
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std::map<std::tuple<int, int, int>, bool> flag;
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for (const auto& r : v) flag[{r.h, r.k, r.l}] = r.rfree_flag;
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int pairs = 0, split = 0;
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for (const auto& r : v) {
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auto it = flag.find({-r.h, -r.k, -r.l});
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if (it != flag.end()) { ++pairs; if (it->second != r.rfree_flag) ++split; }
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}
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CHECK(pairs > 0);
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CHECK(split == 0);
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}
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TEST_CASE("R-free flags are shared across symmetry equivalents", "[rfree]") {
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// In P4 (Laue 4/m) (h,k,l) and (-k,h,l) are equivalent and must share a flag.
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std::vector<MergedReflection> v;
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for (int h = -10; h <= 10; ++h)
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for (int k = -10; k <= 10; ++k)
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for (int l = 0; l <= 10; ++l) {
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if (h == 0 && k == 0 && l == 0) continue;
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v.push_back(Refl(h, k, l, 60.0f / (1 + h * h + k * k + l * l)));
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}
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AssignRfreeFlags(v, 75, 0.10); // P4
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std::map<std::tuple<int, int, int>, bool> flag;
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for (const auto& r : v) flag[{r.h, r.k, r.l}] = r.rfree_flag;
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int checked = 0;
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for (const auto& r : v) {
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auto it = flag.find({-r.k, r.h, r.l}); // the 4-fold image
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if (it != flag.end()) { CHECK(it->second == r.rfree_flag); ++checked; }
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}
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CHECK(checked > 0);
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}
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TEST_CASE("R-free flags spread across resolution", "[rfree]") {
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// The uniform per-hkl hash is uncorrelated with resolution, so each of three well-separated
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// resolution bands still receives a share of the free set (it is not clumped into one shell).
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std::vector<MergedReflection> v;
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for (int i = 0; i < 1000; ++i) {
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v.push_back(Refl(1 + i, 2, 3, 8.0f)); // low res
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v.push_back(Refl(2, 1 + i, 3, 4.0f)); // mid res
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v.push_back(Refl(2, 3, 1 + i, 2.0f)); // high res
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}
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AssignRfreeFlags(v, 1, 0.10);
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int lo = 0, mid = 0, hi = 0;
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for (const auto& r : v) {
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if (!r.rfree_flag) continue;
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if (r.d > 6.0f) ++lo; else if (r.d > 3.0f) ++mid; else ++hi;
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}
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CHECK(lo > 0);
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CHECK(mid > 0);
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CHECK(hi > 0);
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}
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TEST_CASE("R-free flags are identical across datasets of one crystal form", "[rfree]") {
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// The key campaign property: the free set depends only on the reflection index, not on the
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// dataset's resolution extent or which reflections it contains. Two datasets with different
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// resolution ranges must flag every shared reflection the same way (a per-shell stratification
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// tied to each dataset's own d_min/d_max would break this).
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auto wide = Grid(-15, 15);
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std::vector<MergedReflection> narrow; // a lower-resolution subset
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for (const auto& r : wide)
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if (r.d > 6.0f)
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narrow.push_back(r);
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// Floor off so the two different-sized sets share one effective fraction (the floor is the only
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// thing that ties the fraction to the dataset; with it off this is the pure per-hkl guarantee).
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AssignRfreeFlags(wide, 96, 0.05, /*min_free=*/0);
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AssignRfreeFlags(narrow, 96, 0.05, /*min_free=*/0);
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std::map<std::tuple<int, int, int>, bool> flag;
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for (const auto& r : wide) flag[{r.h, r.k, r.l}] = r.rfree_flag;
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int checked = 0;
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for (const auto& r : narrow) {
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auto it = flag.find({r.h, r.k, r.l});
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REQUIRE(it != flag.end());
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CHECK(it->second == r.rfree_flag);
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++checked;
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}
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CHECK(checked > 0);
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}
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TEST_CASE("ApplyReferenceFreeFlags imports the reference test set", "[rfree]") {
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// A reference with its own free set; a dataset that starts from the per-hkl hash must, after the
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// import, carry exactly the reference's flags on every reflection they share.
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auto reference = Grid(-12, 12);
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AssignRfreeFlags(reference, 96, 0.07);
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std::map<std::tuple<int, int, int>, bool> ref_flag;
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for (const auto& r : reference) ref_flag[{r.h, r.k, r.l}] = r.rfree_flag;
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auto data = Grid(-12, 12);
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AssignRfreeFlags(data, 96, 0.30); // deliberately a different fraction/hash split
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const size_t matched = ApplyReferenceFreeFlags(data, 96, reference);
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CHECK(matched == data.size());
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for (const auto& r : data)
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CHECK(r.rfree_flag == ref_flag[{r.h, r.k, r.l}]);
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}
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TEST_CASE("R-free flags floor the test set size on small data", "[rfree]") {
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// A small dataset (~738 distinct P1 reflections, all l=+1 so no Friedel mates present): at 5%
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// only ~37 would be free, too few for a stable R-free. The floor lifts the fraction; a large
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// floor request is capped so it never dominates the working set.
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std::vector<MergedReflection> v;
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for (int h = -20; h <= 20; ++h)
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for (int k = 1; k <= 18; ++k)
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v.push_back(Refl(h, k, 1, 30.0f / (1 + h * h + k * k)));
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const double n = static_cast<double>(v.size());
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auto plain = v, floored = v, capped = v;
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AssignRfreeFlags(plain, 1, 0.05, /*min_free=*/0); // pure 5% ~= 37 free
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AssignRfreeFlags(floored, 1, 0.05, /*min_free=*/60); // 60/738 = 8.1% (above 5%, under the 10% cap)
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AssignRfreeFlags(capped, 1, 0.05, /*min_free=*/100000); // floor wants ~all; capped near 10%
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CHECK(FreeFraction(floored) > FreeFraction(plain)); // the floor lifted the test set
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CHECK(FreeFraction(floored) > 0.06); // ~8%, clearly above the bare 5%
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CHECK(FreeFraction(capped) <= 0.15); // capped near 10%, not driven to ~100%
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}
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TEST_CASE("R-free fraction of zero flags nothing", "[rfree]") {
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auto v = Grid(1, 6);
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AssignRfreeFlags(v, 1, 0.0);
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for (const auto& r : v) CHECK(!r.rfree_flag);
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}
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