Nothing
test_that("standard check", {
testthat::skip_on_cran()
local_edition(3)
##load example data
data(ExampleData.XSYG, envir = environment())
##subtract background
TL.Spectrum@data <- TL.Spectrum@data[] - TL.Spectrum@data[,15]
# break function -----------
## unwanted list element in list ---------
expect_error(fit_EmissionSpectra(list(TL.Spectrum, "fail")),
"\\[fit\\_EmissionSpectra\\(\\)\\] List elements of different class detected!")
## wrong frame range -------
expect_error(fit_EmissionSpectra(TL.Spectrum, frame = 1000),
"\\[fit\\_EmissionSpectra\\(\\)\\] 'frame' invalid. Allowed range min: 1 and max: 24")
## wrong graining argument -------
expect_error(fit_EmissionSpectra(TL.Spectrum, frame = 5,
method_control = list(graining = 10000)),
"\\[fit\\_EmissionSpectra\\(\\)\\] method\\_control\\$graining cannot be larger than available channels \\(1024\\)!")
## for matrix input -------
expect_error(fit_EmissionSpectra("fail"),
"\\[fit\\_EmissionSpectra\\(\\)\\] Input not supported, please read the manual!")
# plain run -------
# #somewhat the plotting does not work for Github Actions
results <- expect_s4_class(fit_EmissionSpectra(
object = TL.Spectrum,
frame = 5,
main = "TL spectrum",
n_components = 3,
plot = FALSE,
start_parameters = c(2.17),
method_control = list(max.runs = 100)), "RLum.Results")
# silent mode -------
expect_silent(fit_EmissionSpectra(
object = TL.Spectrum,
frame = 5,
main = "TL spectrum",
plot = FALSE,
verbose = FALSE,
method_control = list(max.runs = 10)))
# regression test ----
expect_length(results, 3)
expect_s3_class(results$fit[[1]], "nls")
expect_type(results$data, "double")
})
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