data("CA_NS6")
d <- CA_NS6

nptperyear <- 23
INPUT <- check_input(d$t, d$y, d$w,
    QC_flag = d$QC_flag,
    nptperyear = nptperyear, south = FALSE,
    maxgap = nptperyear / 4, alpha = 0.02, wmin = 0.2)
# plot_input(INPUT)
wFUN <- "wTSM"


test_that("find_season works", {
    options = list(rFUN = "smooth_wWHIT", wFUN = wFUN, lambda = 10)
    brks <- season(INPUT, lambda = 10)
    plot_season(INPUT, brks, d)

    brks2 = season_input(INPUT, options)
    expect_equal(brks2, brks)

    c(d_fit, info_peak) %<-% roughFit(INPUT)
    d_season1 = find_season.peaks(d_fit, info_peak)

    c(t, ypred) %<-% d_fit[, .(t, ziter2)]
    d_season2 = find_season.default(ypred, t)
    expect_equal(d_season1, d_season2)
    expect_equal(brks$dt, d_season2)

    # opt <- .options$season
    # curve fitting by year
    brks_mov <- season_mov(INPUT,
        options = list(
            rFUN = "smooth_wWHIT", wFUN = wFUN,
            lambda = 10,
            r_min = 0.05, ypeak_min = 0.05,
            verbose = FALSE
        ))
    plot_season(INPUT, brks_mov)
})