tests/testthat/test_envs_ecoClimate.R

#### COMPONENT 3: Obtain Environmental Data
#### MODULE: ecoClimate
context("ecoClimate")

##Set parameters

bcAOGCM="CCSM"
bcScenario="LGM"
ecoClimSel=c(1,2,3,15,16)

##Run function for output tests
varsEcoClimate <- try(envs_ecoClimate(bcAOGCM, bcScenario, ecoClimSel),
                      silent = TRUE)
##set error parameters
wrongAOGCM="CTSM"
wrongScenario='notscenario'
AOGCMFail='COSMOS'
bcScenarioFail='Present'

##start testing
test_that('error_checks', {
  # skip on CRAN
  skip_on_cran()
  # Skip if cannot download
  skip_if(class(varsEcoClimate) == "try-error")
  ##wrong AOGCM
  expect_error(envs_ecoClimate(bcAOGCM = wrongAOGCM, bcScenario, ecoClimSel),
  (paste0("ecoClimate has no data for AOGCM=", wrongAOGCM,
          ". Check the spelling.")))
  ##wrong Scenario
  expect_error(envs_ecoClimate(bcAOGCM, bcScenario = wrongScenario, ecoClimSel,
                               logger = NULL),
               paste0("ecoClimate has no data for Scenario=", wrongScenario,
                      ". Check the spelling."))

    ##NON existent combination of parameters
  expect_error(envs_ecoClimate(bcAOGCM = AOGCMFail, bcScenario = bcScenarioFail,
                               ecoClimSel),
               paste0("ecoClimate has no data for AOGCM = ", AOGCMFail,
                      ", Baseline =  Modern", ", Scenario = ", bcScenarioFail))

  })

test_that('output_checks', {
  # skip on CRAN
  skip_on_cran()
  # Skip if cannot download
  skip_if(class(varsEcoClimate) == "try-error")
  #output is a rasterstack
  expect_is(varsEcoClimate,"RasterStack")
  ##rasterstack has as many layers as requested
  expect_equal(raster::nlayers(varsEcoClimate),length(ecoClimSel))
  ##names of variables correspond to requested variables
  names<-vector()
  for (i in 1:length(ecoClimSel)){
    if(ecoClimSel[i]<10){names[i]<-paste0('bio0',ecoClimSel[i])}
    else {names[i]<-paste0('bio',ecoClimSel[i])}
  }
  expect_equal(names(varsEcoClimate),names)

})

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wallace documentation built on Sept. 11, 2024, 9:16 p.m.