# This tests the maximum present ambience function.
# library(testthat); library(DropletUtils); source("setup.R"); source("test-amb-sparse.R")
# Making up some data.
set.seed(1100000)
ambient <- c(runif(900, 0, 0.1), runif(100))
y <- rpois(1000, ambient * 50)
y2 <- y + rpois(1000, 5) # adding some actual biology.
test_that("ambientContribSparse works correctly", {
out <- ambientContribSparse(y, ambient=ambient, prop=0.5)
expect_identical(unname(out), median(y/ambient))
out <- ambientContribSparse(cbind(y, y2), ambient=ambient, prop=0.5)
expect_identical(unname(out[1]), median(y/ambient))
expect_identical(unname(out[2]), median(y2/ambient))
# Handles zeroes in the ambient vector.
ambient <- c(numeric(900), runif(100))
out <- ambientContribSparse(cbind(y, y2), ambient=ambient, prop=0.5)
keep <- 901:1000
expect_identical(out, ambientContribSparse(cbind(y, y2)[keep,], ambient=ambient[keep], prop=0.5))
})
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