# init settings ---------------
context("init = bottom performs properly")
testres <- matrix(ncol = 2, nrow = 100, NA)

for (i in seq_len(nrow(testres))) {
  x <- randomsequence(nID = sample(4:12, 1),
                      avgIA = sample(15:30, 1),
                      presence = c(runif(1), runif(1)))

  sdat <- x$seqdat
  pres <- x$pres
  # sometimes the random sequence generator acts up and produces very spotty
  # presence files (only one id present on some days):
  # make sure those are not processed
  step1 <- unlist(apply(pres[, 2:5], 2, function(x)sum(diff(x) != 0)))
  if (!any(step1 > 2)) {
    if ((ncol(pres) - 1) == length(unique(c(sdat$winner, sdat$loser)))) {
      if (any(pres[1, 2:ncol(pres)] == 0)) {
        res <- elo.seq(winner = sdat$winner,
                       loser = sdat$loser,
                       Date = sdat$Date,
                       presence = pres,
                       init = "bottom")

        test_id <- which(pres[1, ] == 0)[1]
        test_id <- colnames(pres)[test_id]

        xlog <- res$logtable
        m <- min(which(xlog$winner == test_id), which(xlog$loser == test_id))
        xlog[m, ]
        startvalue <- xlog[m, c("Apre", "Bpre")[which(xlog[m, c("winner", "loser")] == test_id)]]
        startvalue <- min(xlog[m, c("Apre", "Bpre", "Apost", "Bpost")])
        res$mat[m - 1, ]
        res$mat[m , ]
        
        # only do if the imigrant wins their first interaction
        if (sdat$winner[m] == test_id) {
          testres[i, 1] <- min(res$mat[m - 1, ], na.rm = TRUE) >= startvalue
          if (!testres[i, 1]) stop()
        }
        testres[i, 2] <- sum(pres[1, 2:ncol(pres)] == 0) > 1
        
      }
    }
  }
  cat(i, "\r")
}

test_that("init = bottom performs properly", {
  expect_true(all(na.omit(testres[, 1])))
})