context("max_coverage_relocation")
library(maxcovr)
library(dplyr)
library(tibble)
library(tidyr)
set.seed(2019-11-10)
york_selected <- york %>% dplyr::filter(grade == "I")
york_unselected <- york %>% dplyr::filter(grade != "I") %>% sample_frac(0.1)
mc_relocate_glpk <-
max_coverage_relocation(existing_facility = york_selected,
proposed_facility = york_unselected,
user = york_crime,
distance_cutoff = 100,
cost_install = 500,
cost_removal = 100,
cost_total = 1000,
solver = "glpk")
mc_relocate_lpsolve <-
max_coverage_relocation(existing_facility = york_selected,
proposed_facility = york_unselected,
user = york_crime,
distance_cutoff = 100,
cost_install = 500,
cost_removal = 100,
cost_total = 1000,
solver = "lpSolve")
mc_table_names <- c("user",
"existing_facility",
"proposed_facility",
"facilities_selected",
"model_coverage",
"existing_coverage",
"summary",
"solution_vector",
"total_cost",
"distance_cutoff",
"solver_used",
"model_call")
testthat::test_that("max_coverage_relocation with glpk returns correct names",{
testthat::expect_named(mc_relocate_glpk, mc_table_names)
})
testthat::test_that("max_coverage_relocation with lpSolve returns correct names",{
testthat::expect_named(mc_relocate_lpsolve, mc_table_names)
})
testthat::test_that("maximum_coverage_relocation with glpk has the right class",{
testthat::expect_is(mc_relocate_glpk, "maxcovr_relocation")
testthat::expect_true(is.maxcovr_relocation(mc_relocate_glpk))
})
testthat::test_that("maximum_coverage_relocation with lpSolve has the right class",{
testthat::expect_is(mc_relocate_lpsolve, "maxcovr_relocation")
testthat::expect_true(is.maxcovr_relocation(mc_relocate_lpsolve))
})
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