Nothing
test_that("nb_get_img() errors correctly", {
set.seed(1)
img <- array(runif(8), dim = rep(2, 3))
expect_error(
nb_get_img(img),
paste0(
"`img` must be positive integers \\(and NAs\\)\\s?",
"only.+Element 1 of `img` is (\\d|\\.)+ which is\\s?",
"neither.+NA nor positive integer."
)
)
img <- array(8, dim = c(2, 2, 2, 1))
expect_error(
nb_get_img(img),
paste0(
"Your image only has one frame.+Images to be used for\\s?",
"number and brightness analysis.+must have more than\\s?",
"one frame."
)
)
})
test_that("`can_be_numeric()` works", {
expect_false(can_be_numeric(c("a", "1")))
})
test_that("extend_for_all_chs() edge case works", {
expect_equal(extend_for_all_chs(list(NULL), 4), as.list(rep(NA, 4)))
})
test_that("fix_filt() edge cases and exceptions work correctly", {
expect_equal(fix_filt(NULL), NA_character_)
expect_error(fix_filt("abc"), "must be either")
})
test_that("prepare_filt() edge cases and exceptions work correctly", {
expect_error(
prepare_filt("wrong"),
paste(
"The allowable values for filt are.*smooth.*median.*NA.*",
"You have `filt =.*wrong"
)
)
})
test_that("deduplicate_nb_filename() works correctly", {
path <- paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness_thresh=NA,NA_swaps=NA,NA_filt=NA,NA.tif"
)
expect_equal(
deduplicate_nb_filename(path),
paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness_filt=NA,NA.tif"
)
)
path <- paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness_thresh=NA,NA_swaps=NA,NA_"
)
expect_equal(
deduplicate_nb_filename(path),
paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness"
)
)
path <- paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness_thresh=NA,NA_"
)
expect_equal(
deduplicate_nb_filename(path),
paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness"
)
)
expect_equal(deduplicate_nb_filename("abc"), "abc")
})
test_that("prepare_thresh works", {
expect_equal(prepare_thresh(NULL), as.list(rep(NA_real_, 2)))
expect_equal(prepare_thresh(NA), as.list(rep(NA_real_, 2)))
expect_equal(prepare_thresh(c("H", NA)), list("H", NA_real_))
expect_equal(prepare_thresh("H"), as.list(rep("H", 2)))
})
test_that("deduplicate_cc_nb_filename() works correctly", {
path <- paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness_thresh=NA,NA_swaps=NA,NA_filt=NA,NA.tif"
)
expect_equal(
deduplicate_cc_nb_filename(path),
paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness_filt=NA,NA.tif"
)
)
path <- paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness_thresh=NA,NA_swaps=NA,NA_"
)
expect_equal(
deduplicate_cc_nb_filename(path),
paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness"
)
)
path <- paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness_thresh=NA,NA_"
)
expect_equal(
deduplicate_cc_nb_filename(path),
paste0(
"detrended_exponential_thresh=4,3_swaps=1,2",
"_brightness"
)
)
expect_equal(deduplicate_cc_nb_filename("abc"), "abc")
})
test_that("make_cc_nb_filename_ending() edge cases work correctly", {
img <- ijtiff::read_tif(system.file("extdata", "two_ch.tif",
package = "nandb"
))
cc_b1 <- cc_brightness(img, thresh = "Huang", detrend = FALSE)
cc_b2 <- cc_b1
attr(cc_b1, "thresh") <- c(1, 1)
attr(cc_b2, "thresh") <- structure(c(1, 1),
autothresh_method = rep(NA, 2)
)
expect_equal(
make_cc_nb_filename_ending(cc_b1),
make_cc_nb_filename_ending(cc_b2)
)
cc_b_ts <- cc_brightness_timeseries(img, 20)
attr(cc_b_ts, "frames_per_set") <- NULL
expect_error(
make_cc_nb_filename_ending(cc_b_ts),
paste0(
"If `cc_nb_img` is a cross-correlated number or\\s?",
"brightness time.+series, then it must have an\\s?",
"attribute 'frames_per_set'.+Your `cc_nb_img` appears\\s?",
"to be a cross-correlated number.+or brightness time\\s?",
"series without a 'frames_per_set'.+attribute."
)
)
})
test_that("`make_nb_filename_ending()` works", {
img <- ijtiff::read_tif(system.file("extdata", "two_ch.tif",
package = "nandb"
))
nts <- number_timeseries(img, "N", 20)
attr(nts, "frames_per_set") <- NULL
expect_error(
make_nb_filename_ending(nts),
paste0(
"If `nb_img` is a number or brightness time series,\\s?",
"then it.+must have an attribute 'frames_per_set'.+Your\\s?",
"`nb_img` appears to be a number or brightness\\s?",
"time.+series without a 'frames_per_set' attribute."
)
)
nts <- number_timeseries(img, "N", 20)
attr(nts, "thresh") <- NA
expect_error(
make_nb_filename_ending(nts),
paste0(
"The lengths of the 'thresh', 'swaps' and 'filt'\\s?",
"attributes and.+the 'autothresh_method' and 'auto'\\s?",
"attriutes of the thresh and.+swaps attributes\\s?",
"respectively of `nb_img` must all be the same.+as the\\s?",
"number of channels in `img`.+There are 2 channels in\\s?",
"`img`.+The 'thresh' attribute has length 1.+The\\s?",
"'swaps' attribute has length 2.+The 'filt' attribute\\s?",
"has length 2.+The 'autothresh_method' attribute of the\\s?",
"'thresh'.+attribute has length 2.+The 'auto' attribute\\s?",
"of the 'swaps' attribute has length.+2."
)
)
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.