Nothing
test_that("Testing synapse version", {
# exit if user doesn't have synapser, a log in, or access to data.
testthat::skip_if_not(.is_connected_to_genie(pat = Sys.getenv("SYNAPSE_PAT")))
expect_equal(
class(synapse_version(most_recent = FALSE)),
c("tbl_df", "tbl", "data.frame")
)
expect_equal(
class(synapse_version(most_recent = TRUE)),
c("tbl_df", "tbl", "data.frame")
)
expect_equal(
nrow(synapse_version(most_recent = TRUE)) <
nrow(synapse_version(most_recent = FALSE)),
TRUE
)
})
test_that("Test most_recent argument", {
expect_error(synapse_version(most_recent = "ABC"))
expect_error(synapse_version(most_recent = 123))
})
test_that("Test cohort argument", {
# if no cohort specified, all cohorts returned
expect_equal(nrow(synapse_version()),
nrow(synapse_tables %>% distinct(cohort, version)))
# if cohort is specified, only that cohort is returned
# run for each cohort
imap(
synapse_tables %>% split(.$cohort),
~ expect_equal(
nrow(synapse_version(cohort = .y)),
nrow(synapse_tables %>%
distinct(cohort, version) %>%
filter(cohort == .y))
)
)
# if multiple cohorts are specified, each cohort is returned
expect_equal(
nrow(synapse_version(cohort = c("NSCLC", "CRC"))),
nrow(synapse_tables %>%
distinct(cohort, version) %>%
filter(cohort %in% c("NSCLC", "CRC")))
)
})
test_that("Test `cohort` argument specification casing", {
# expect lower case cohort to work
expect_equal(synapse_version(cohort = "NSCLC"),
synapse_version(cohort = "nsclc"))
expect_equal(synapse_version(cohort = "CRC"),
synapse_version(cohort = "crC"))
expect_equal(synapse_version(cohort = "BrCa"),
synapse_version(cohort = "BRCA"))
expect_equal(synapse_version(cohort = "PANC"),
synapse_version(cohort = "Pancreas"))
expect_equal(synapse_version(cohort = "PANC"),
synapse_version(cohort = "Panc"))
expect_equal(synapse_version(cohort = "Prostate"),
synapse_version(cohort = "PROState"))
expect_equal(synapse_version(cohort = "BLADDER"),
synapse_version(cohort = "Bladder"))
})
test_that("Test most_recent = TRUE", {
# expect 1 row per cohort
expect_equal(synapse_version(most_recent = TRUE) %>%
nrow(),
synapse_version(most_recent = TRUE) %>%
dplyr::distinct(cohort) %>%
nrow())
})
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