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Added some unit tests and fixed minor issues.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,209 @@ | ||
| test_that("comboGroupsIter produces correct results", { | ||
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| comboGroupsClassTest <- function( | ||
| v_pass, n_grps = NULL, grp_sizes = NULL, | ||
| ret = "matrix", testRand = TRUE | ||
| ) { | ||
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| myResults <- vector(mode = "logical") | ||
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| myRows <- comboGroupsCount(v_pass, n_grps, grp_sizes) | ||
| a <- comboGroupsIter(v_pass, n_grps, grp_sizes, ret) | ||
| b <- comboGroups(v_pass, n_grps, grp_sizes, ret) | ||
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| myResults <- c(myResults, isTRUE(all.equal( | ||
| a@summary()$totalResults, myRows) | ||
| )) | ||
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| if (length(v_pass) == 1 && v_pass == 0) { | ||
| myResults <- c(myResults, v_pass == a@sourceVector()) | ||
| } else if (length(v_pass) == 1) { | ||
| myResults <- c(myResults, isTRUE( | ||
| all.equal(abs(v_pass), length(a@sourceVector())) | ||
| )) | ||
| } else { | ||
| myResults <- c(myResults, isTRUE( | ||
| all.equal(sort(v_pass), a@sourceVector()) | ||
| )) | ||
| } | ||
|
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||
| if (testRand) { | ||
| myResults <- c(myResults, isTRUE( | ||
| all.equal(a@front(), b[1 ,]) | ||
| )) | ||
| myResults <- c(myResults, isTRUE(all.equal(a@currIter(), | ||
| b[1 ,]))) | ||
| myResults <- c(myResults, isTRUE(all.equal(a@back(), | ||
| b[myRows, ]))) | ||
| myResults <- c(myResults, isTRUE(all.equal(a@currIter(), | ||
| b[myRows, ]))) | ||
| } | ||
|
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||
| a@startOver() | ||
| msg <- capture.output(noMore <- a@currIter()) | ||
| myResults <- c(myResults, is.null(noMore)) | ||
| myResults <- c(myResults, grepl("Iterator Initialized. To see the first", msg[1])) | ||
| a1 <- b | ||
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| if (myRows) { | ||
| for (i in 1:myRows) { | ||
| a1[i, ] <- a@nextIter() | ||
| } | ||
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| myResults <- c(myResults, isTRUE(all.equal(a1, b))) | ||
| a@startOver() | ||
| num_iters <- if (myRows > 10) 3L else 1L | ||
| numTest <- as.integer(myRows / num_iters); | ||
|
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| s <- 1L | ||
| e <- numTest | ||
|
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| for (i in 1:num_iters) { | ||
| myResults <- c(myResults, isTRUE(all.equal(a@nextNIter(numTest), | ||
| b[s:e, , drop = FALSE]))) | ||
| s <- e + 1L | ||
| e <- e + numTest | ||
| } | ||
|
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||
| a@startOver() | ||
| myResults <- c(myResults, isTRUE(all.equal(a@nextRemaining(), b))) | ||
| msg <- capture.output(noMore <- a@nextIter()) | ||
| myResults <- c(myResults, is.null(noMore)) | ||
|
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||
| if (testRand) { | ||
| a@back() | ||
| msg <- capture.output(noMore <- a@nextNIter(1)) | ||
| myResults <- c(myResults, is.null(noMore)) | ||
| myResults <- c(myResults, "No more results." == msg[1]) | ||
| msg <- capture.output(noMore <- a@currIter()) | ||
| myResults <- c(myResults, "No more results." == msg[1]) | ||
|
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||
| a@startOver() | ||
| a@back() | ||
| msg <- capture.output(noMore <- a@nextRemaining()) | ||
| myResults <- c(myResults, is.null(noMore)) | ||
| myResults <- c(myResults, "No more results." == msg[1]) | ||
|
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||
| a@startOver() | ||
| a@back() | ||
| msg <- capture.output(noMore <- a@nextIter()) | ||
| myResults <- c(myResults, is.null(noMore)) | ||
| myResults <- c(myResults, "No more results." == msg[1]) | ||
|
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| samp <- sample(myRows, numTest) | ||
| myResults <- c(myResults, isTRUE(all.equal(a[[samp]], b[samp, ]))) | ||
| one_samp <- sample(myRows, 1) | ||
| myResults <- c(myResults, isTRUE(all.equal(a[[one_samp]], b[one_samp, ]))) | ||
| } | ||
| } else { | ||
| a@startOver() | ||
| msg <- capture.output(noMore <- a@nextNIter(1)) | ||
| myResults <- c(myResults, is.null(noMore)) | ||
| myResults <- c(myResults, "No more results." == msg[1]) | ||
| msg <- capture.output(noMore <- a@currIter()) | ||
| myResults <- c(myResults, "No more results." == msg[1]) | ||
|
|
||
| a@startOver() | ||
| msg <- capture.output(noMore <- a@nextIter()) | ||
| myResults <- c(myResults, is.null(noMore)) | ||
| myResults <- c(myResults, "No more results." == msg[1]) | ||
|
|
||
| a@startOver() | ||
| msg <- capture.output(noMore <- a@nextRemaining()) | ||
| myResults <- c(myResults, is.null(noMore)) | ||
| myResults <- c(myResults, "No more results." == msg[1]) | ||
| } | ||
|
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||
| rm(a, a1, b) | ||
| gc() | ||
| all(myResults) | ||
| } | ||
|
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||
| expect_true(comboGroupsClassTest(12, 3)) | ||
| # expect_true(comboGroupsClassTest(12, 3, ret = "3Darray")) | ||
| expect_true(comboGroupsClassTest(12, grp_sizes = c(3, 3, 6))) | ||
| expect_true(comboGroupsClassTest(12, grp_sizes = c(3, 4, 5))) | ||
| expect_true(comboGroupsClassTest(11, grp_sizes = c(1, 2, 2, 3, 3))) | ||
| expect_true(comboGroupsClassTest(4, grp_sizes = c(1, 1, 1, 1))) | ||
| expect_true(comboGroupsClassTest(4, grp_sizes = c(1, 1, 2))) | ||
| expect_true(comboGroupsClassTest(3, grp_sizes = c(1, 2))) | ||
| expect_true(comboGroupsClassTest(3, 1)) | ||
| expect_true(comboGroupsClassTest(1, 1)) | ||
|
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||
| ##******** BIG TESTS *********## | ||
| comboGroupsClassBigZTest <- function( | ||
| v_pass, n_grps = NULL, grp_sizes = NULL, | ||
| ret = "matrix", lenCheck = 1000, testRand = TRUE | ||
| ) { | ||
|
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| myResults <- vector(mode = "logical") | ||
|
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| myRows <- comboGroupsCount(v_pass, n_grps, grp_sizes) | ||
| a <- comboGroupsIter(v_pass, n_grps, grp_sizes, ret) | ||
| b1 <- comboGroups(v_pass, n_grps, grp_sizes, ret, upper = lenCheck) | ||
| b2 <- comboGroups(v_pass, n_grps, grp_sizes, ret, | ||
| lower = gmp::sub.bigz(myRows, lenCheck - 1)) | ||
|
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| myResults <- c(myResults, isTRUE(all.equal( | ||
| a@summary()$totalResults, myRows) | ||
| )) | ||
|
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| if (length(v_pass) == 1) { | ||
| myResults <- c(myResults, isTRUE( | ||
| all.equal(v_pass, length(a@sourceVector())) | ||
| )) | ||
| } else { | ||
| myResults <- c(myResults, isTRUE( | ||
| all.equal(sort(v_pass), a@sourceVector()) | ||
| )) | ||
| } | ||
|
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||
| myResults <- c(myResults, isTRUE( | ||
| all.equal(a@front(), b1[1 ,]) | ||
| )) | ||
| myResults <- c(myResults, isTRUE(all.equal(a@currIter(), | ||
| b1[1 ,]))) | ||
| myResults <- c(myResults, isTRUE(all.equal(a@back(), | ||
| b2[lenCheck, ]))) | ||
| myResults <- c(myResults, isTRUE(all.equal(a@currIter(), | ||
| b2[lenCheck, ]))) | ||
|
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| a@startOver() | ||
| a1 <- b1 | ||
|
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| for (i in 1:lenCheck) { | ||
| a1[i, ] <- a@nextIter() | ||
| } | ||
|
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| myResults <- c(myResults, isTRUE(all.equal(a1, b1))) | ||
| a@startOver() | ||
| numTest <- as.integer(lenCheck / 3); | ||
| s <- 1L | ||
| e <- numTest | ||
|
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| for (i in 1:3) { | ||
| myResults <- c(myResults, isTRUE(all.equal(a@nextNIter(numTest), | ||
| b1[s:e, ]))) | ||
| s <- e + 1L | ||
| e <- e + numTest | ||
| } | ||
|
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||
| a@startOver() | ||
| a[[gmp::sub.bigz(myRows, lenCheck)]] | ||
| myResults <- c(myResults, isTRUE(all.equal(a@nextRemaining(), b2))) | ||
|
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| t <- capture.output(a@nextIter()) | ||
| myResults <- c(myResults, is.null(a@nextIter())) | ||
| myResults <- c(myResults, is.null(a@nextNIter(1))) | ||
| myResults <- c(myResults, is.null(a@nextRemaining())) | ||
|
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| samp1 <- sample(lenCheck, 5) | ||
| samp2 <- gmp::sub.bigz(myRows, lenCheck) + gmp::as.bigz(samp1) | ||
| myResults <- c(myResults, isTRUE(all.equal(a[[samp1]], b1[samp1, ]))) | ||
| myResults <- c(myResults, isTRUE(all.equal(a[[samp2]], b2[samp1, ]))) | ||
| rm(a, a1, b1, b2) | ||
| gc() | ||
| all(myResults) | ||
| } | ||
|
|
||
| }) |