# tests/testthat/test-aperture-7.R # Tests for aperture 7 (ISEA7H) hexagonal grid quantization # # Aperture 7 alternates between Class III-I and Class III-II orientations. # Each resolution has 7x the cells of the previous (area ratio 7:1). # ============================================================================= # SETUP # ============================================================================= setup_icosa <- function() { cpp_build_icosa() } # ============================================================================= # ROUND-TRIP TESTS # ============================================================================= test_that("aperture 7 round-trip works", { setup_icosa() test_points <- list( c(0.4, 0.35), c(-0.4, 0.2), c(0.1, -0.6), c(0.0, 0.0), c(0.7, 0.5) ) for (res in c(0, 1, 2, 3, 4, 5)) { for (pt in test_points) { tx <- pt[1] ty <- pt[2] cell <- cpp_hex_quantize_ap7(tx, ty, res) center <- cpp_hex_center_ap7(cell["i"], cell["j"], res) cell2 <- cpp_hex_quantize_ap7(center["cx"], center["cy"], res) expect_equal(cell["i"], cell2["i"], info = sprintf("res=%d, tx=%.3f, ty=%.3f", res, tx, ty)) expect_equal(cell["j"], cell2["j"], info = sprintf("res=%d, tx=%.3f, ty=%.3f", res, tx, ty)) } } }) test_that("aperture 7 batch round-trip succeeds", { setup_icosa() set.seed(789) n <- 20 tx <- runif(n, -0.8, 0.8) ty <- runif(n, -0.8, 0.8) for (res in c(2, 3, 4, 5)) { result <- cpp_batch_test_roundtrip_ap7(tx, ty, res) n_pass <- sum(result$success) expect_equal(n_pass, n, info = sprintf("res=%d: %d/%d passed", res, n_pass, n)) } }) # ============================================================================= # CLASS ALTERNATION # ============================================================================= test_that("aperture 7 alternates Class III-I and III-II", { setup_icosa() # Cell (0,0) should always be at origin regardless of class for (res in c(0, 1, 2, 3, 4)) { center <- cpp_hex_center_ap7(0, 0, res) expect_equal(as.numeric(center["cx"]), 0, tolerance = 1e-10) expect_equal(as.numeric(center["cy"]), 0, tolerance = 1e-10) } }) # ============================================================================= # SCALING AND REFINEMENT # ============================================================================= test_that("aperture 7 refines by factor of 7", { setup_icosa() # Aperture 7 has asymmetric scaling due to Class III variants: # - Class III-I (even) → Class III-II (odd): scale by sqrt(21) # - Class III-II (odd) → Class III-I (even): scale by sqrt(7)/sqrt(3) # Overall cumulative: sqrt(7)^res sqrt7 <- sqrt(7) sqrt3 <- sqrt(3) sqrt21 <- sqrt(21) for (res in 1:4) { center_r <- cpp_hex_center_ap7(1, 0, res) center_prev <- cpp_hex_center_ap7(1, 0, res - 1) ratio_x <- abs(as.numeric(center_prev["cx"]) / as.numeric(center_r["cx"])) is_prev_class3i <- ((res - 1) %% 2 == 0) if (is_prev_class3i) { expected_ratio <- sqrt21 } else { expected_ratio <- sqrt7 / sqrt3 } expect_equal(ratio_x, expected_ratio, tolerance = 0.01, info = sprintf("res=%d scaling ratio", res)) } }) # ============================================================================= # HEXAGON CORNERS # ============================================================================= test_that("aperture 7 corners form valid hexagons", { setup_icosa() for (res in c(0, 1, 2, 3)) { corners <- cpp_hex_corners_ap7(0, 0, res, 1.0) expect_equal(length(corners$x), 6) expect_equal(length(corners$y), 6) expect_true(all(is.finite(corners$x))) expect_true(all(is.finite(corners$y))) } }) # ============================================================================= # LON/LAT WORKFLOW # ============================================================================= test_that("aperture 7 lon/lat workflow works", { setup_icosa() lon <- 16.37 # Vienna lat <- 48.21 res <- 5 cell <- cpp_lonlat_to_cell_ap7(lon, lat, res) expect_true(cell["face"] >= 0 && cell["face"] < 20) expect_true(is.numeric(cell["i"])) expect_true(is.numeric(cell["j"])) ll <- cpp_cell_to_lonlat_ap7(cell["face"], cell["i"], cell["j"], res) # Aperture 7 may have larger errors due to surrogate-substrate conversion dist <- sqrt((ll["lon"] - lon)^2 + (ll["lat"] - lat)^2) expect_true(dist < 15.0) })