# setup test --------------------------------------------------------------
all_data <- read_all_data()
source_years_summary <- all_data %>%
count(year, mun_id_x, short_name_x) %>%
count(year, n, name = "num_mun")
source_years_year <- source_years_summary$year
source_years_n <- source_years_summary$n
target_years_summary <- all_data %>%
distinct(target_year, mun_id_y, short_name_y) %>%
count(target_year, name = "num_mun")
source_combos <- all_data %>%
distinct(year, mun_id_x, short_name_x) %>%
rename(mun_id = mun_id_x, short_name = short_name_x)
target_combos <- all_data %>%
distinct(target_year, mun_id_y, short_name_y) %>%
rename(year = target_year, mun_id = mun_id_y, short_name = short_name_y)
# tests -------------------------------------------------------------------
test_that("internal consistency", {
# test if each municipality appears once per csv per source year
expect_identical(
source_years_n,
(source_years_year[length(source_years_year)] - source_years_year[1] + 1):1
)
# number of source municipalities equals number of target municipalities in each year
expect_identical(
source_years_summary$num_mun,
target_years_summary$num_mun
)
# are all the names and municipality numbers equal for source and target municipalities in each year?
expect_identical(
anti_join(
source_combos,
target_combos,
by = c("mun_id", "short_name", "year")
) %>%
nrow(),
0L
)
})
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