Nothing
test_that("`eval_conditions()` evaluates conditions correctly", {
df <- tibble::tibble(
x = c(1L, 2L, NA_integer_, 4L, 5L),
y = c(TRUE, FALSE, TRUE, FALSE, TRUE),
z = c("a", "b", "a", "b", "a")
)
# Tag records for which `x` is greater than 2.
expect_identical(
eval_conditions(df, x > 2L),
c(FALSE, FALSE, NA, TRUE, TRUE)
)
# Tag records for which `x` is greater than 2 and `y` is TRUE.
expect_identical(
eval_conditions(df, x > 2L, y),
c(FALSE, FALSE, NA, FALSE, TRUE)
)
# Tag records for which `x` is greater than 2 and convert resulting NAs into FALSE.
expect_identical(
eval_conditions(df, x > 2L, .na = FALSE),
c(FALSE, FALSE, FALSE, TRUE, TRUE)
)
# Conditions may involve variables defined in the caller environment.
w <- 1L
expect_identical(
eval_conditions(df, x > w),
c(FALSE, TRUE, NA, TRUE, TRUE)
)
# Conditions may look into variables defined in other scopes (e.g., in
# environments).
env <- rlang::env(w = 1L)
expect_identical(
eval_conditions(df, x > w, .env = env),
c(FALSE, TRUE, NA, TRUE, TRUE)
)
# Other scopes are not restricted to environments but lists and tibbles also
# work as namespaces for look-up.
expect_identical(
eval_conditions(df, x > w, .env = list(w = 3L)),
c(FALSE, FALSE, NA, TRUE, TRUE)
)
expect_identical(
eval_conditions(df, x > w, .env = tibble::tibble(w = 4L)),
c(FALSE, FALSE, NA, FALSE, TRUE)
)
})
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