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

context("MILP: add-constraint")

test_that("add_constraint only accepts linear inequalities", {
  m <- add_variable(MILPModel(), x, type = "binary")
  expect_error(add_constraint(m, x))
})

test_that("add_constraint_ supports standard eval.", {
  m <- MILPModel()
  m <- add_variable(m, x)
  expect_silent(add_constraint_(m, ~x <= 10))
})

test_that("constraints can have an unary + and - operator", {
  m <- add_variable(MILPModel(), x, type = "continuous", lb = 4) %>%
    add_variable(y, type = "continuous", ub = 4) %>%
    add_constraint(+x - y <= 10) %>%
    set_objective((-x + y) / 5, sense = "max")
  expect_equal(m$constraints[[1]]$lhs@variables$coef, c(1, -1))
})

test_that("add_constraint can handle a for all quantifier", {
  m <- MILPModel() %>%
    add_variable(x[i, j], i = 1:3, j = 1:3) %>%
    add_constraint(sum_expr(x[i, j], j = 1:3) == 1, i = 1:3)
  expect_equal(nconstraints(m), 3)
})

test_that("add_constraint warns about unbouded all quantifier", {
  m <- MILPModel() %>%
    add_variable(x[i, j], i = 1:3, j = 1:3)
  expect_error(add_constraint(sum_expr(x[i, j], j = 1:3) == 1, e = 1:3))
})

test_that("we can add complicated constraints", {
  m <- add_variable(MILPModel(), x[i], i = 1:3, type = "binary")
  m <- add_constraint(m, sum_expr(x[i], i = 1:2) + x[3] == 1)
  expect_equal(length(m$constraints), 1)
  constraint <- m$constraints[[1]]
  expect_equal(constraint$rhs[[1]], 1)
  expect_equal(constraint$sense, "==")
  expect_equal(constraint$lhs@variables$coef, c(1, 1, 1))
})

test_that("add_constraint throws an error if constraints are non-linear lhs", {
  m <- add_variable(MILPModel(), x[i], i = 1:3, type = "binary")
  expect_error(add_constraint(m, sum_expr(x[i], i = 1:2) * x[3] == 1))
})

test_that("add_constraint throws an error if constraints are non-linear rhs", {
  m <- add_variable(MILPModel(), x[i], i = 1:3, type = "binary")
  expect_error(add_constraint(m, 1 == sum_expr(x[i], i = 1:2) * x[3]))
})

test_that("add_constraint warns about unbouded all quantifier in rhs", {
  m <- MILPModel() %>%
    add_variable(x[i, j], i = 1:3, j = 1:3)
  expect_error(add_constraint(1 == sum_expr(x[i, j], j = 1:3), e = 1:3))
})

test_that("add_constraints throws error if unbounded indexes in lhs", {
  m <- MILPModel() %>%
    add_variable(x[i, j], i = 1:3, j = 1:3)
  expect_error(add_constraint(x[1, j] == 1))
})

test_that("add_constraints throws error if unbounded indexes in rhs", {
  m <- MILPModel() %>%
    add_variable(x[i, j], i = 1:3, j = 1:3)
  expect_error(add_constraint(1 == x[1, j]))
})

test_that("bounded vars in add_constraints should take precedence", {
  m <- MILPModel() %>%
    add_variable(x[i, j], i = 1:3, j = 1:3)
  j <- 1
  i <- 1
  m <- add_constraint(m, sum_expr(x[i, j], j = 3) == 1)
  expect_equal(m$constraints[[1]]$lhs@variables$col, 7) # 7 is x[1,3]
  expect_equal(m$constraints[[1]]$lhs@variables$coef, 1)
})

test_that("we can add constraints", {
  m <- MILPModel()
  m <- add_variable(m, x[i], i = 1:10, type = "binary")
  expect_silent(m <- add_constraint(m, x[3] <= x[6]))
})

test_that("add_constraint only allows a fixed set of senses", {
  m <- MILPModel()
  m <- add_variable(m, x[i], i = 1:10, type = "binary")
  add_constraint(m, x[3] <= x[6])
  add_constraint(m, x[3] >= x[6])
  add_constraint(m, x[3] == x[6])
  expect_error(add_constraint(m, x[3] < x[6]))
  expect_error(add_constraint(m, x[3] > x[6]))
  expect_error(add_constraint(m, x[3] + x[6]))
})

test_that("quantifier filter expressions work with add_constraint", {
  m <- add_variable(MILPModel(), x[i], i = 1:10)
  m <- add_constraint(m, x[i] == 1, i = 1:10, i <= 2)
  expect_equal(2, nconstraints(m))
})

test_that("quantifier filter expressions are combined with AND", {
  m <- add_variable(MILPModel(), x[i], i = 1:10)
  m <- add_constraint(m, x[i] == 1, i = 1:10, i <= 2, i >= 2)
  expect_equal(1, nconstraints(m))
})

test_that("quantifier filter expressions work with add_constraint_", {
  m <- add_variable(MILPModel(), x[i], i = 1:10)
  m <- add_constraint_(m, ~x[i] == 1, i = 1:10, .dots = ~i <= 2)
  expect_equal(2, nconstraints(m))
})

test_that("indexes in filter expr. for sum_expr are correctly substituted", {
  m <- add_variable(MILPModel(), x[i, j], i = 1:2, j = 1:2)
  m <- add_constraint(m, sum_expr(x[i, j], i = 1:2, j = 1) == 0, j = 1:2)
  expect_equal(m$constraints[[1]]$lhs@variables$col, c(1, 2))
  expect_equal(m$constraints[[1]]$lhs@variables$row, c(1, 1))
})

test_that("bug 20170222 #117: you can use c as an index variable", {
  m <- add_variable(MILPModel(), x[m], m = 1:2)
  m <- add_constraint(m, x[c] == 0, c = 1:2)
  m <- set_bounds(m, x[m], lb = 0, m = 1:2)

  expect_equal(m$constraints[[1]]$lhs@variables$col, c(1, 2))
})
dirkschumacher/romp documentation built on Oct. 6, 2018, 4:36 a.m.