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Jungfraujoch/tests/RfreeFlagsTest.cpp
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scale_merge: floor the R-free test-set size on small data
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>
2026-07-13 11:50:28 +02:00

183 lines
7.7 KiB
C++

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