Nothing
context("caverphone")
## Test the Caverphone algorithm
test_that("Test that Caverphone works", {
skip_on_cran()
test <- read.csv("caverphone.csv", comment.char = "#", stringsAsFactors = FALSE, colClasses = rep("character", 2), encoding = "UTF-8")
## Test for cases where clean = TRUE
for(i in 1:nrow(test)) {
if(is.na(test$value[i])) {
expect_warning(testValue <- caverphone(test$word[i]))
expect_true(is.na(testValue))
} else
expect_true(caverphone(test$word[i]) == test$value[i])
}
## Test for cases where clean = FALSE, which should not
## return NA, so we are going to assume that's an error
for(i in 1:nrow(test)) {
if(is.na(test$value[i]))
expect_false(is.na(caverphone(test$word[i], clean = FALSE)))
else
expect_true(caverphone(test$word[i], clean = FALSE) == test$value[i])
}
})
test_that("The Caverphone algorithm implementation can handle NAs", {
skip_on_cran()
test_data <- caverphone(NA_character_)
expect_true(is.na(test_data))
})
test_that("The Caverphone algorithm implementation can handle NULLs", {
skip_on_cran()
test_data <- caverphone(NULL)
expect_true(is.na(test_data))
})
## Test the Modified Caverphone algorithm
test_that("Test that Modified Caverphone works", {
skip_on_cran()
test <- read.csv("caverphone-modified.csv", comment.char = "#", stringsAsFactors = FALSE, colClasses = rep("character", 2), encoding = "UTF-8")
## Test for cases where clean = TRUE
for(i in 1:nrow(test)) {
if(is.na(test$value[i])) {
expect_warning(testValue <- caverphone(test$word[i], modified = TRUE))
expect_true(is.na(testValue))
} else
expect_true(caverphone(test$word[i], modified = TRUE) == test$value[i])
}
## Test for cases where clean = FALSE, which should not
## return NA, so we are going to assume that's an error
for(i in 1:nrow(test)) {
if(is.na(test$value[i]))
expect_false(is.na(caverphone(test$word[i], clean = FALSE, modified = TRUE)))
else
expect_true(caverphone(test$word[i], clean = FALSE, modified = TRUE) == test$value[i])
}
})
test_that("The Modified Caverphone algorithm implementation can handle NAs", {
skip_on_cran()
test_data <- caverphone(NA_character_, modified = TRUE)
expect_true(is.na(test_data))
})
test_that("The Modified Caverphone algorithm implementation can handle NULLs", {
skip_on_cran()
test_data <- caverphone(NULL, modified = TRUE)
expect_true(is.na(test_data))
})
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