Nothing
test_that("outputs a data.frame", {
expect_s3_class(market_share, "data.frame")
})
test_that("has the expected type of columns", {
expected <- c(
metric = "character",
percentage_of_initial_production_by_scope = "double",
production = "double",
region = "character",
scenario_source = "character",
scope = "character",
sector = "character",
technology = "character",
technology_share = "double",
year = "integer"
)
data <- market_share
sorted <- data[sort(names(data))]
actual <- vapply(sorted, typeof, character(1))
expect_equal(actual, expected)
})
test_that("outputs the expected snapshot", {
skip_if(r_version_is_older_than(4))
some_market_share <- head(as.data.frame(market_share))
expect_snapshot(some_market_share)
})
test_that("outputs like r2dii.analysis::target_market_share()", {
# This integration (not unit) test checks if this function keeps its promise.
# It may overlap with other unit tests, but here we focus on dependencies
# Such a strong dependency on upstream packages makes this test fragile
skip_on_cran()
sort_df <- function(data) data[sort(names(data))]
# The style `namespace::fun()` highlights this is an integration test
lbk <- r2dii.data::loanbook_demo[1:10, ]
abcd <- r2dii.data::abcd_demo[795:800, ]
matched <- r2dii.match::prioritize(r2dii.match::match_name(lbk, abcd))
scenario <- r2dii.data::scenario_demo_2020
region <- r2dii.data::region_isos_demo
exp_df <- r2dii.analysis::target_market_share(matched, abcd, scenario, region)
expected <- vapply(sort_df(exp_df), typeof, character(1))
act_df <- market_share
actual <- vapply(sort_df(act_df), typeof, character(1))
expect_equal(actual, expected)
})
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