test(rollup): per-year denominator + provenance expectations (failing)
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@@ -98,3 +98,41 @@ test_that("cog_geographic_rollup rejects invalid inputs", {
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"state|county|city"
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)
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})
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test_that("cog_geographic_rollup per-capita uses summed per-year populations", {
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skip_if_no_corpus()
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with_fixture_corpus({
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r <- cog_geographic_rollup(
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govids = list(state = "010000000",
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county = "101006006"),
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category = "Police",
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years = 2019:2020,
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per_capita = TRUE
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)
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state_ops <- r[r$layer == "state" & r$spend_subtype == "operations", ]
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county_ops <- r[r$layer == "county" & r$spend_subtype == "operations", ]
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state_implied <- state_ops$amt_nominal / state_ops$amt_per_capita_nominal
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county_implied <- county_ops$amt_nominal /
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county_ops$amt_per_capita_nominal
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# Per-year, per-layer denominator is the layer's own per-year population
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expect_equal(state_implied[state_ops$year == 2019], 4874747, tolerance = 1)
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expect_equal(state_implied[state_ops$year == 2020], 4903185, tolerance = 1)
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expect_equal(county_implied[county_ops$year == 2019], 1935878, tolerance = 1)
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})
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})
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test_that("cog_geographic_rollup records included/excluded govids in provenance", {
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skip_if_no_corpus()
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with_fixture_corpus({
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r <- cog_geographic_rollup(
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govids = list(county = "101006006"),
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category = "Police",
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years = 2019:2020,
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per_capita = TRUE
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)
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prov <- attr(r, "provenance")
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expect_true("rollup" %in% names(prov))
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expect_true("101006006" %in% prov$rollup$included_govids)
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expect_true(is.character(prov$rollup$excluded_govids))
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})
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})
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