test_that("secsse gives the same result as hisse", {
  ## Test to check that our approach reaches the same likelihood than HiSSE.
  # to calculate likelihood of a trait with 2 states using Hisse
  # pars <- c(0.1, 0.2, 0.03, 0.03, 0.01, 0.01)
  # set.seed(4); phy <- ape::rcoal(52)
  newickphy <- "((((t15:0.03654175604,t36:0.03654175604):0.1703092581,(((t42:0.01312768801,t23:0.01312768801):0.01026551964,(((t19:0.006565648042,t5:0.006565648042):0.000589637007,t35:0.007155285049):0.0075478055,t51:0.01470309055):0.008690117099):0.1040593382,(t20:0.05092066659,t16:0.05092066659):0.07653187925):0.07939846827):0.6519637868,(((((t43:0.006616860045,t3:0.006616860045):0.08611719299,(t48:0.004896235936,t40:0.004896235936):0.0878378171):0.1515206506,((t44:0.09487672192,t2:0.09487672192):0.07712689077,((t37:0.006132013467,t32:0.006132013467):0.1177191576,((t46:0.01830302153,t21:0.01830302153):0.03858278382,((t25:0.02071187578,t24:0.02071187578):0.02799215338,t47:0.04870402916):0.008181776188):0.06696536571):0.04815244163):0.07225109099):0.03049659492,((t6:0.02021971253,t45:0.02021971253):0.1267950773,t18:0.1470147899):0.1277365087):0.5391698492,(((((t27:0.008082361089,t17:0.008082361089):0.00456225043,t39:0.01264461152):0.103375347,(t7:0.06545659749,((t26:0.005452218586,t12:0.005452218586):0.03594003265,((t13:0.0001294122247,t9:0.0001294122247):0.01141726784,t31:0.01154668006):0.02984557118):0.02406434625):0.05056336106):0.04543362477,((t34:0.0748070545,t11:0.0748070545):0.01677840675,(((t38:0.01479762241,(t41:0.004213712966,t14:0.004213712966):0.01058390944):0.000225587269,t4:0.01502320968):0.06205778867,((t49:0.01206564111,(t10:0.00350505531,t52:0.00350505531):0.008560585803):0.03485629493,(t28:0.04155870788,((t8:0.01119536676,t22:0.01119536676):0.02493294048,t50:0.03612830725):0.005430400635):0.005363228164):0.0301590623):0.01450446291):0.06986812207):0.1092343488,(t1:0.1156934975,t30:0.1156934975):0.1549944346):0.5432332157):0.04489365312):1.400701854,(t29:0.04276331213,t33:0.04276331213):2.216753343);" # nolint
  phy <- phytools::read.newick(text = newickphy)
  traits <- c(0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0,
              1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1,
              0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1,
              1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0,
              0, 0, 0, 0, 1, 1, 0, 0)

  b <- c(0.04, 0.02, 0.03, 0.04)# lambda
  d <- c(0.03, 0.01, 0.01, 0.02)  # Mu
  userTransRate <- 0.2 # transition rate among trait states

  ## Now our equivalent version, with only 2 states
  num_concealed_states <- 2
  sampling_fraction <- c(1, 1)
  toCheck <- id_paramPos(traits, num_concealed_states)
  toCheck[[1]][] <- b
  toCheck[[2]][] <- d
  toCheck[[3]][, ] <- userTransRate
  diag(toCheck[[3]]) <- NA
  root_state_weight <- "maddison_weights"
  cond <- "noCondit"

  y <- secsse_loglik(parameter = toCheck,
                     phy = phy,
                     traits = traits,
                     num_concealed_states = num_concealed_states,
                     cond = cond,
                     root_state_weight = root_state_weight,
                     sampling_fraction = sampling_fraction)
  cond <- "maddison_cond"
  y1 <- round(as.numeric(secsse_loglik(parameter = toCheck,
                                       phy = phy,
                                       traits = traits,
                                       num_concealed_states =
                                         num_concealed_states,
                                       cond = cond,
                                       root_state_weight = root_state_weight,
                                       sampling_fraction = sampling_fraction)
  ), 4)

  ## Now with different sampling_fraction

  sampling_fraction <- c(0.8, 1)

  y2 <- round(as.numeric(secsse_loglik(parameter = toCheck,
                                       phy = phy,
                                       traits = traits,
                                       num_concealed_states =
                                         num_concealed_states,
                                       cond = cond,
                                       root_state_weight = root_state_weight,
                                       sampling_fraction = sampling_fraction)
  ), 4)

  testthat::expect_equal(-237.8611, y1, tolerance = 0.001)
  testthat::expect_equal(-243.8611, y2, tolerance = 0.001)
  # Parallel code doesn't work on CI unless running on windows
  if (!isTRUE(as.logical(Sys.getenv("CI"))) ||
      .Platform$OS.type == "windows") {
    testthat::skip_on_cran()

    z4 <- as.numeric(secsse_loglik(parameter = toCheck,
                                   phy = phy,
                                   traits = traits,
                                   num_concealed_states = num_concealed_states,
                                   cond = cond,
                                   root_state_weight = root_state_weight,
                                   sampling_fraction = sampling_fraction,
                                   num_threads = 4))
    testthat::expect_equal(y2, z4, tolerance = 1e-4)
    # is different LL, diff 0.0118
  }
})