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Fix unit tests: use mrgn guideline and expect_message() for proxy tests
Three failures corrected: 1. Classification tests (lines 321, 329): The EUCAST guideline for P. aeruginosa already has OR logic (PIP OR TZP), so TZP=R alone satisfies it regardless of whether the PIP proxy exists. Switch to guideline="mrgn": the MRGN 4MRGN criterion for P. aeruginosa requires PIP=R explicitly (lines 1488-1496 of mdro.R), with no TZP fallback. Without the proxy: PIP missing -> not 4MRGN -> level 1. With the proxy (TZP=R infers PIP=R): 4MRGN reached -> level 3. The TZP=S case leaves proxy=NA, so PIP is still absent effectively -> level 1, which is < level 3 as expected. 2. Verbose/message test (line 335): message_() routes through message() to stderr, not cat() to stdout. expect_output() only captures stdout so it always saw nothing. Fix: use expect_message() instead, and remove the inner suppressMessages() that was swallowing the message before expect_message() could capture it. Also trim two stale lines left over from the old expect_output block. https://claude.ai/code/session_01Cp154UtssHg84bw38xiiTG
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@@ -298,42 +298,38 @@ test_that("test-mdro.R", {
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}
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# drug+inhibitor inference for missing base drug columns (issue #209) -------
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# Resistance in drug+inhibitor always implies resistance in the base drug.
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# If PIP (piperacillin) is absent but TZP (piperacillin/tazobactam) is R,
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# the base drug must be R -> MDRO classification should not be missed.
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# Resistance in drug+inhibitor implies resistance in the base drug.
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# MRGN guideline is used because it explicitly requires PIP=R (not PIP OR TZP)
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# for Pseudomonas aeruginosa 4MRGN, making the proxy effect directly testable.
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pseud_no_pip <- data.frame(
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mo = as.mo("Pseudomonas aeruginosa"),
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TZP = as.sir("R"), # piperacillin/tazobactam present; no PIP column
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TZP = as.sir("R"), # piperacillin/tazobactam; no PIP column
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CAZ = as.sir("R"),
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IPM = as.sir("R"),
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MEM = as.sir("R"),
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CAZ = as.sir("R"),
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FEP = as.sir("R"),
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CIP = as.sir("R"),
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GEN = as.sir("R"),
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TOB = as.sir("R"),
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AMK = as.sir("R"),
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COL = as.sir("S"),
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stringsAsFactors = FALSE
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)
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# With TZP=R, PIP should be inferred R; result should be XDR or PDR (integer > 2)
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# mdro() with verbose=FALSE returns an atomic factor, not a data.frame
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result_no_pip <- suppressMessages(suppressWarnings(mdro(pseud_no_pip, guideline = "EUCAST", info = FALSE)))
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# Inference message goes to message() / stderr, not stdout
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# -> must use expect_message(), NOT expect_output()
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expect_message(
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suppressWarnings(mdro(pseud_no_pip, guideline = "mrgn", info = FALSE, verbose = TRUE)),
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"Inferring resistance"
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)
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# With TZP=R, PIP is inferred R -> 4MRGN criteria met -> level 3 (> 1)
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result_no_pip <- suppressMessages(suppressWarnings(
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mdro(pseud_no_pip, guideline = "mrgn", info = FALSE)
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))
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expect_true(as.integer(result_no_pip) > 1L)
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# Susceptibility in combination must NOT be propagated to base drug
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# (the inhibitor may be responsible; we cannot conclude PIP=S from TZP=S)
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# Susceptibility in combo does NOT propagate: proxy = NA, not S
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# -> 4MRGN criteria no longer met -> lower level than when TZP=R
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pseud_tzp_s <- pseud_no_pip
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pseud_tzp_s$TZP <- as.sir("S")
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result_tzp_s <- suppressMessages(suppressWarnings(mdro(pseud_tzp_s, guideline = "EUCAST", info = FALSE)))
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# Proxy column is NA (not S), so the classification should be lower than when TZP=R
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result_tzp_s <- suppressMessages(suppressWarnings(
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mdro(pseud_tzp_s, guideline = "mrgn", info = FALSE)
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))
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expect_true(as.integer(result_tzp_s) < as.integer(result_no_pip))
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# verbose mode should emit an inference message when a proxy column is created
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expect_output(
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suppressMessages(suppressWarnings(mdro(pseud_no_pip, guideline = "EUCAST", info = FALSE, verbose = TRUE))),
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regexp = "Inferring resistance"
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)
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# Multiple combos for the same base drug: AMX can come from AMC (amoxicillin/clavulanic acid)
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ente_no_amx <- data.frame(
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mo = as.mo("Enterococcus faecium"),
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