context("Testing Kuramoto Model Dynamics")
with_seed <- function(seed, code) {
code <- substitute(code)
orig.seed <- .Random.seed
on.exit(.Random.seed <<- orig.seed)
set.seed(seed)
eval.parent(code)
}
SEED_VALUE <- 12345
### Ising Model Dynamics --------------------------------------------------
test_that("Test Kuramoto Model Dynamics Ground Truth", {
input <- matrix(
cbind(
c(1.0, 1.0, 2.0, 3.0),
c(0.0, 0.0, 1.0, 0.0),
c(0.0, 0.0, 0.0, 1.0),
c(0.0, 0.0, 0.0, 0.0)
),
nrow = 4
)
results <- simulate_lotka(input, 5, .5)
expect_equal(results$ground_truth, input)
})
test_that("Test Kuramoto Model Dynamics Time Series Dimensions", {
input <- matrix(
cbind(
c(1, 0, 0),
c(0, 1, 0),
c(0, 1, 0)
),
ncol = 3
)
results <- simulate_lotka(input, 3)
expect_equal(nrow(results$TS), nrow(input))
expect_equal(ncol(results$TS), 3)
})
test_that("Test Kuramoto Model Dynamics Random", {
input <- matrix(
cbind(
c(1.0, 1.0, 2.0, 3.0),
c(0.0, 0.0, 1.0, 0.0),
c(0.0, 0.0, 0.0, 1.0),
c(0.0, 0.0, 0.0, 0.0)
),
nrow = 4
)
results_random <- simulate_kuramoto(input, 4)
results_random2 <- simulate_kuramoto(input, 4)
expect_equal(results_random$ground_truth, input)
expect_equal(results_random2$ground_truth, input)
with_seed(SEED_VALUE, {
results_not_random <- simulate_kuramoto(input, 4)
results_not_random2 <- simulate_kuramoto(input, 4)
expect_equal(results_not_random$ground_truth, input)
expect_equal(results_not_random2$ground_truth, input)
expect_false(identical(results_random$TS, results_random2$TS))
})
})
test_that("Test Kuramoto Model Dynamics Non-Random", {
input <- matrix(
cbind(
c(1, 0, 0),
c(0, 1, 0),
c(0, 1, 0)
),
ncol = 3
)
func_output <- simulate_kuramoto(input, 3, dt = 1, strength = 1, phases = c(1, 2, 3), freqs = c(1.0, 1.05, 1.06))
func_output2 <- simulate_kuramoto(input, 3, dt = 1, strength = 1, phases = c(1, 2, 3), freqs = c(1.0, 1.05, 1.06))
expect_equal(round(func_output$TS, 3), round(func_output2$TS, 3))
})
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