Nothing
test_that("consistency and completeness", {
library(raster)
region <- PaleoRegion$new(coordinates = array(c(1:4, 4:1), c(7, 2)))
attribute_aliases <- list(sd = "standard_deviation", pops = "populations")
nested_model <- PaleoPopModel$new(template = PaleoPopModel$new(),
attribute_aliases = attribute_aliases)
expect_equal(nested_model$list_consistency(), list(time_steps = NA, years_per_step = T, standard_deviation = NA,
carrying_capacity = NA, coordinates = NA, random_seed = NA,
populations = NA, initial_abundance = NA, transition_rate = NA,
compact_decomposition = NA, density_dependence = NA,
growth_rate_max = NA, dispersal_data = NA,
dispersal_target_k = NA, harvest = NA, harvest_max = NA,
harvest_g = NA, harvest_z = NA, harvest_max_n = NA,
human_density = NA, abundance_threshold = NA,
occupancy_threshold = NA, results_selection = T))
expect_null(nested_model$inconsistent_attributes())
expect_equal(nested_model$inconsistent_attributes(include_nas = TRUE),
list(inconsistent = NULL, not_available = c("time_steps", "standard_deviation", "carrying_capacity",
"coordinates", "random_seed", "populations",
"initial_abundance", "transition_rate",
"compact_decomposition", "density_dependence",
"growth_rate_max", "dispersal_data", "dispersal_target_k",
"harvest", "harvest_max", "harvest_g", "harvest_z",
"harvest_max_n", "human_density", "abundance_threshold",
"occupancy_threshold")))
expect_equal(nested_model$list_completeness(), list(coordinates = NA, random_seed = NA, time_steps = F,
years_per_step = T, populations = F, initial_abundance = F,
transition_rate = F, standard_deviation = F,
compact_decomposition = NA, carrying_capacity = F,
density_dependence = NA, growth_rate_max = NA,
dispersal_data = NA, dispersal_target_k = NA, harvest = F,
harvest_max = NA, harvest_g = NA, harvest_z = NA,
harvest_max_n = NA, human_density = NA,
abundance_threshold = NA,
occupancy_threshold = NA, results_selection = T))
expect_true(nested_model$is_consistent())
expect_equal(nested_model$incomplete_attributes(), c("time_steps", "populations", "initial_abundance",
"transition_rate", "standard_deviation",
"carrying_capacity", "harvest"))
expect_equal(nested_model$incomplete_attributes(include_nas = TRUE),
list(incomplete = c("time_steps", "populations", "initial_abundance", "transition_rate",
"standard_deviation", "carrying_capacity", "harvest"),
not_available = c("coordinates", "random_seed", "compact_decomposition", "density_dependence",
"growth_rate_max", "dispersal_data", "dispersal_target_k", "harvest_max",
"harvest_g", "harvest_z", "harvest_max_n", "human_density",
"abundance_threshold", "occupancy_threshold")))
expect_false(nested_model$is_complete())
nested_model$set_attributes(time_steps = 9, pops = 8, initial_abundance = seq(1000, 7000, 1000),
transition_rate = 1.0, sd = 0.005, carrying_capacity = rep(3000, 7),
harvest = F)
expect_equal(nested_model$inconsistent_attributes(), c("carrying_capacity", "initial_abundance"))
expect_equal(nested_model$incomplete_attributes(), c("initial_abundance", "carrying_capacity"))
nested_model$set_attributes(pops = 7)
expect_equal(nested_model$inconsistent_attributes(), c("carrying_capacity"))
expect_false(nested_model$is_consistent())
nested_model$set_attributes(carrying_capacity = raster::stack(replicate(10, region$region_raster*1000)))
expect_true(nested_model$is_consistent())
expect_true(nested_model$is_complete())
})
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