context(".dropEmptyCols")
test_that(".dropEmptyCols drops empty columns and keeps columns with data", {
df <- data.frame(c1 = c(1:10),
c2 = rnorm(n = 10, mean = 1, sd = 1),
c3 = rep("a", 10),
c4 = rep(NA, 10),
c5 = rep(NaN, 10),
C6 = c(1:10))
df_out <- .dropEmptyCols(df = df)
expect_false(identical(df, df_out))
expect_equal(ncol(df_out), 4)
expect_true(is.data.frame(df_out))
expect_true(is.numeric(df_out[,1]))
expect_true(is.numeric(df_out[,2]))
expect_true(is.character(df_out[,3]))
expect_true(is.numeric(df_out[,4]))
})
context(".getNumFromSpectrumId")
test_that(".getNumFromSpectrumId correctly extracts names and values for a single string", {
vec <- c("name1=10 name2=2 name3=333")
nums <- .getNumFromSpectrumId(spectrumId = vec)
expect_equal(names(nums), c("name1", "name2", "name3"))
expect_equal(ncol(nums), 3)
expect_equal(nrow(nums), 1)
expect_equal(nums[1,1], 10)
expect_equal(nums[1,2], 2)
expect_equal(nums[1,3], 333)
})
test_that(".getNumFromSpectrumId correctly extracts names and values for a vector of strings", {
vec <- c("name1=10 name2=2 name3=333", "name1=11 name2=3 name3=444", "name1=10 name2=2 name3=333")
nums <- .getNumFromSpectrumId(spectrumId = vec)
expect_equal(names(nums), c("name1", "name2", "name3"))
expect_equal(ncol(nums), 3)
expect_equal(nrow(nums), 3)
expect_equal(nums[1,1], 10)
expect_equal(nums[1,2], 2)
expect_equal(nums[1,3], 333)
})
context(".scanChunker")
test_that(".scanChunker correctly indexs a vector of index values", {
chunks <- .scanChunker(scans = c(1:10), chunkSize = 2)
expect_type(chunks, "list")
expect_length(chunks, 5)
})
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