tests/testthat/test-add-variable-milp.R

context("MILP: add_variable")

test_that("only accept valid models", {
  expect_error(add_variable(mtcars, x[i], i = 1:10))
})

test_that("subscripts must be present in variable expression", {
  expect_error(add_variable(MILPModel(), x[i], j = 1:10))
})
test_that("variable must not be a complex expression", {
  expect_error(add_variable(MILPModel(), x[i] + 4, i = 1:10))
})

test_that("variables with arity 0 can be added", {
  m <- MILPModel()
  m_new <- add_variable(m, x, type = "binary")
  expect_false(is.null(m_new$variables[["x"]]))
  expect_equal(m_new$variables[["x"]]$type, "binary")
  expect_equal(m_new$variables[["x"]]$arity, 0)
})

test_that("variables can be added", {
  m <- add_variable(MILPModel(), x[i], i = 1:10, type = "binary")
  expect_false(is.null(m$variables[["x"]]))
  expect_equal(m$variables[["x"]]$type, "binary")
  expect_equal(m$variables[["x"]]$arity, 1)
})

test_that("variables bounds get replicated for var. groups", {
  m <- add_variable(MILPModel(), x[i], i = 1:3,
                    lb = 0, ub = 1,
                    type = "binary")
  expect_false(is.null(m$variables[["x"]]))
  expect_equal(m$variables[["x"]]$lb, c(0, 0, 0))
  expect_equal(m$variables[["x"]]$ub, c(1, 1, 1))
})

test_that("global vars do not interfere with variable names in expressions", {
  x <- "hi"
  m <- add_variable(MILPModel(), x[i], i = 1:10, type = "binary")
  expect_false(is.null(m$variables[["x"]]))
  expect_true(is.null(m$variables[["hi"]]))
})

test_that("variables can be added with bound indexes", {
  j <- 3
  m <- add_variable(MILPModel(), x[i, j], i = 1:10, type = "binary")
  expect_false(is.null(m$variables[["x"]]))
  expect_equal(m$variables[["x"]]$arity, 2)
})

test_that("binding variables works with magrittr", {
  y <- 42
  m <- add_variable(MILPModel(), x[i], i = 1:3, type = "binary") %>%
    set_objective(x[1] * y)
  expect_equal(m$objective$objective@variables$coef, y)
})

test_that("one can set bounds on variables", {
  max_bins <- 5
  m <- MILPModel()
  m1 <- add_variable(m, x, type = "continuous", lb = 40)
  m2 <- add_variable(m, x, type = "continuous", ub = 40)
  expect_equal(m1$variables[["x"]]$lb, 40)
  expect_equal(m2$variables[["x"]]$ub, 40)
})

test_that("throw error if lower bound > upper bound", {
  expect_error(add_variable(MILPModel(), x, lb = 5, ub = 4))
})

test_that("add_variable_ supports standard eval.", {
  m <- MILPModel()
  expect_silent(add_variable_(m, ~x))
})

test_that("add_variable throws error when lb or ub is of length > 1", {
  m <- MILPModel()
  expect_error(add_variable_(m, ~x, lb = c(5, 2), ub = 10))
  expect_error(add_variable_(m, ~x, lb = 2, ub = c(10, 10)))
})

test_that("add_variable throws error when lb or ub is not numeric", {
  m <- MILPModel()
  expect_error(add_variable_(m, ~x, lb = "5"))
  expect_error(add_variable_(m, ~x, ub = "5"))
})

test_that("add_variable throws error when type is wrong", {
  m <- MILPModel()
  expect_error(add_variable_(m, ~x, lb = 5, type = "wat"))
  expect_error(add_variable_(m, ~x, lb = 5, type = c("integer", "binary")))
})

test_that("add_variable warns if binary var's bound is not 0/1", {
  m <- MILPModel()
  expect_warning({
    x <- add_variable_(m, ~x, lb = 10, type = "binary")
  })
  expect_warning({
    y <- add_variable_(m, ~x, ub = 110, type = "binary")
  })
  expect_equal(0, x$variables[[1]]$lb)
  expect_equal(1, x$variables[[1]]$ub)
})

test_that("variable quantifiers can have filter expressions", {
  result <- add_variable(MILPModel(), x[i, j],
                         i = 1:5,
                         j = 1:5,
                         i == j + 1)
  expect_equal(result$var_index_mapping_list$x$V1, c(2, 3, 4, 5))
  expect_equal(result$var_index_mapping_list$x$V2, c(1, 2, 3, 4))
})

test_that("add_variable fails if filter expressions filter out everything", {
  expect_error(add_variable(MILPModel(), x[i], i = 1:3, i > 10))
})

test_that("filter epxressions work with SE 2", {
  result <- add_variable_(MILPModel(), ~x[i, j],
                          i = 1:5,
                          j = 1:5,
                          .dots = ~i == j + 1)
  expect_equal(result$var_index_mapping_list$x$V1, c(2, 3, 4, 5))
  expect_equal(result$var_index_mapping_list$x$V2, c(1, 2, 3, 4))
})


test_that("add_variable throws error when lb or ub is of length > 1", {
  m <- MILPModel()
  expect_error(add_variable_(m, ~x, lb = c(5, 2), ub = 10))
  expect_error(add_variable_(m, ~x, lb = 2, ub = c(10, 10)))
})

test_that("add_variable throws error when lb or ub is not numeric", {
  m <- MILPModel()
  expect_error(add_variable_(m, ~x, lb = "5"))
  expect_error(add_variable_(m, ~x, ub = "5"))
})

test_that("add_variable throws error when type is wrong", {
  m <- MILPModel()
  expect_error(add_variable_(m, ~x, lb = 5, type = "wat"))
  expect_error(add_variable_(m, ~x, lb = 5, type = c("integer", "binary")))
})

test_that("add_variable warns if binary var's bound is not 0/1", {
  m <- MILPModel()
  expect_warning({
    x <- add_variable_(m, ~x, lb = 10, type = "binary")
  })
  expect_warning({
    y <- add_variable_(m, ~x, ub = 110, type = "binary")
  })
  expect_equal(0, x$variables[[1]]$lb)
  expect_equal(1, x$variables[[1]]$ub)
})

test_that("bug 20161014: division with number in rhs", {
  m <- MILPModel() %>%
    add_variable(x) %>%
    add_constraint(x / 5 <= 1)
  expect_equal(m$constraints[[1L]]$lhs@variables$coef, 1 / 5)
})

test_that("vectorized variable adding", {
  i <- 1:10
  j <- 1:10

  var_comb <- expand.grid(i = i, j = j)

  m1 <- MILPModel() %>%
    add_variable(x[var_comb$i, var_comb$j])

  m2 <- MILPModel() %>%
    add_variable(x[i, j], i = 1:10, j = 1:10)

  expect_equal(nvars(m2), nvars(m1))
})

test_that("cannot mix vectorized variable adding and quantifiers", {
  j <- 1:10
  expect_error(
    add_variable(MILPModel(), x[i, j], i = 1:10, i < 5),
    "bound"
  )
})

test_that("you can initialize bounds on a per element basis with vectorized indexes", {
  m1 <- MILPModel() %>%
    add_variable(x[c(1, 2, 3)], lb = c(1, 2, 3), ub = c(4, 5, 6))
  expect_equal(m1$variables$x$lb, 1:3)
  expect_equal(m1$variables$x$ub, 4:6)
  expect_error(add_variable(MILPModel(), x[i], i = 1:3, lb = c(1, 2, 3)), "lb")
})
dirkschumacher/romp documentation built on Oct. 6, 2018, 4:36 a.m.