#
# # WIP
# test_that("update trait diffs squared changes the row of the dead indv", {
#
# # create a test model and get data from a step and the params
# m <- quickModel()
# d <- m@modelSteps[[2]]
# p <- m@params
#
# # add a new trait value at index 0
# d@localComm@indTrait[1] <- 0.5
#
# # update trait diffs squared
# out <- cFun(type="data",fun_name="update_trait_diffs_sq",data=d,params=p,i=1, dead_index=0, parent_indv=0)
# # currently data does not contain trait diffs squared, so accessing this is difficult - TBD
#
# # compare these two - the trait diffs at the new trait value should be changed
# })
#
# test_that("update env filter probs does nothing if neutral", {
# })
#
# test_that("update env filter probs recalculates whole vector if env_sigma has changed this iter", {
# })
#
# test_that("update env filter probs sets one value of vector if env_sigma has NOT changed", {
# })
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