51 lines
1.7 KiB
R
51 lines
1.7 KiB
R
test_that("cpi_annual internal data is available with expected shape", {
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cpi <- uscogdata:::.cpi_table()
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expect_true(is.data.frame(cpi))
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expect_named(cpi, c("year", "cpi"))
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expect_true(nrow(cpi) > 70L)
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expect_true(all(c(2000L, 2010L, 2021L) %in% cpi$year))
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})
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test_that(".inflate matches a known anchor: 2000 in 2021$ ≈ 1.57x nominal", {
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# FRED CPIAUCSL annual: 2000=172.19, 2021=270.97 → ratio ≈ 1.574
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result <- uscogdata:::.inflate(100, from_year = 2000, to_year = 2021)
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expect_equal(result, 157.4, tolerance = 0.5)
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})
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test_that(".inflate is vectorized over from_year", {
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result <- uscogdata:::.inflate(
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amt = c(100, 100, 100),
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from_year = c(2000, 2010, 2021),
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to_year = 2021
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)
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expect_length(result, 3L)
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expect_equal(result[3], 100, tolerance = 1e-6) # same year → identity
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expect_gt(result[1], 150) # 2000 inflated to 2021 ≈ 157
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expect_lt(result[2], 130) # 2010 inflated to 2021 ≈ 124
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expect_gt(result[2], 115)
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})
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test_that(".inflate errors on unknown from_year or to_year", {
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expect_error(
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uscogdata:::.inflate(100, from_year = 1900, to_year = 2021),
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"CPI unavailable for from_year"
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)
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expect_error(
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uscogdata:::.inflate(100, from_year = 2000, to_year = 2200),
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"CPI unavailable for to_year"
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)
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})
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test_that(".inflate preserves NA amounts", {
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result <- uscogdata:::.inflate(c(100, NA, 200), from_year = 2000, to_year = 2021)
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expect_true(is.na(result[2]))
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expect_false(any(is.na(result[c(1, 3)])))
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})
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test_that("bundled CPI covers the full 1967+ corpus era through this year", {
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cpi <- .cpi_table()
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expect_lte(min(cpi$year), 1967L)
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expect_gte(max(cpi$year), as.integer(format(Sys.Date(), "%Y")))
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expect_false(any(is.na(cpi$cpi)))
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})
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