# test_that(desc = "Test 'random' initialization for all models", {
# simRes <- simulateCells(model = "celda_CG")
# modelCG <- celda_CG(simRes$counts,
# simRes$sampleLabel,
# K = simRes$K,
# L = simRes$L,
# zInitialize = "random",
# yInitialize = "random",
# maxIter = 5,
# splitOnLast = FALSE,
# splitOnIter = -1)
# expect_true(is(modelCG, "celda_CG"))
# modelG <- celda_G(simRes$counts,
# L = simRes$L,
# yInitialize = "random",
# maxIter = 5,
# splitOnLast = FALSE,
# splitOnIter = -1)
# expect_true(is(modelG, "celda_G"))
# modelC <- celda_C(simRes$counts,
# simRes$sampleLabel,
# K = simRes$K,
# zInitialize = "random",
# maxIter = 5,
# splitOnLast = FALSE,
# splitOnIter = -1)
# expect_true(is(modelC, "celda_C"))
# })
#
# test_that(desc = "Testing .initializeCluster for random initialization", {
# ## Completely random
# z <- .initializeCluster(10, 100)
# expect_true(length(z) == 100 & length(unique(z) == 10))
# expect_error(z <- .initializeCluster(100, 10))
#
# ## With all values initialized
# initZ <- rep(seq(10), each = 10)
# z <- .initializeCluster(10, 100, initial = initZ)
# expect_true(all(initZ == z))
# expect_error(z <- .initializeCluster(10, 100, initial = initZ[seq(99)]))
# expect_error(z <- .initializeCluster(11, 100, initial = initZ))
# expect_error(z <- .initializeCluster(10, 99, initial = initZ))
#
# ## With only a few values initialized
# fixedZ <- rep(NA, 100)
# fixedZ[seq(10)] <- 1
# z <- .initializeCluster(10, 100, fixed = fixedZ)
# expect_true(all(z[seq(10)] == 1) &
# length(z) == 100 & length(unique(z)) == 10)
# expect_error(z <- .initializeCluster(10, 100, fixed = fixedZ[seq(99)]))
# fixedZ[seq(10)] <- 11
# expect_error(z <- .initializeCluster(10, 100, fixed = fixedZ))
# })
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