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# if running manually, please run the following line first:
# source("tests/testthat/setup.R")
fast_smaller_matrix <- data.table::copy(smaller_matrix)
fast_smaller_matrix[, travel_time := travel_time / 4]
tester <- function(travel_matrix = fast_smaller_matrix,
land_use_data = get("land_use_data", envir = parent.frame()),
opportunity = "jobs",
travel_cost = "travel_time",
demand = "population",
cost_increment = 1,
group_by = "mode",
fill_missing_ids = TRUE) {
balancing_cost(
travel_matrix,
land_use_data,
opportunity,
travel_cost,
demand,
cost_increment,
group_by,
fill_missing_ids
)
}
test_that("raises errors due to incorrect input", {
expect_error(tester(opportunity = 1))
expect_error(tester(opportunity = c("schools", "jobs")))
expect_error(tester(travel_cost = 1))
expect_error(tester(travel_cost = c("travel_time", "monetary_cost")))
expect_error(tester(demand = 1))
expect_error(tester(demand = c("population", "population")))
expect_error(tester(cost_increment = "a"))
expect_error(tester(cost_increment = -1))
expect_error(tester(cost_increment = Inf))
expect_error(tester(group_by = 1))
expect_error(tester(group_by = NA))
expect_error(tester(group_by = "from_id"))
expect_error(tester(group_by = c("mode", "mode")))
expect_error(tester(fill_missing_ids = 1))
expect_error(tester(fill_missing_ids = c(TRUE, TRUE)))
expect_error(tester(fill_missing_ids = NA))
expect_error(tester(as.list(travel_matrix)))
expect_error(
tester(travel_matrix[, .(oi = from_id, to_id, travel_time, mode)])
)
expect_error(
tester(travel_matrix[, .(from_id, oi = to_id, travel_time, mode)])
)
expect_error(
tester(travel_matrix[, .(from_id, to_id, oi = travel_time, mode)])
)
expect_error(
tester(travel_matrix[, .(from_id, to_id, travel_time, oi = mode)])
)
expect_error(tester(as.list(land_use_data)))
expect_error(
tester(land_use_data = land_use_data[, .(oi = id, jobs, population)])
)
expect_error(
tester(land_use_data = land_use_data[, .(id, oi = jobs, population)])
)
expect_error(
tester(land_use_data = land_use_data[, .(id, jobs, oi = population)])
)
})
test_that("throws warning if travel_matrix extra col", {
# i.e. col not listed in travel_cost and by_col
expect_warning(tester(group_by = character(0)))
})
test_that("returns a dataframe whose class is the same as travel_matrix's", {
result <- tester()
expect_is(result, "data.table")
result <- tester(land_use_data = as.data.frame(land_use_data))
expect_is(result, "data.table")
result <- tester(as.data.frame(fast_smaller_matrix))
expect_false(inherits(result, "data.table"))
expect_is(result, "data.frame")
result <- tester(
as.data.frame(fast_smaller_matrix),
land_use_data = as.data.frame(land_use_data)
)
expect_false(inherits(result, "data.table"))
expect_is(result, "data.frame")
})
test_that("result has correct structure", {
result <- tester()
expect_true(ncol(result) == 3)
expect_is(result$id, "character")
expect_is(result$mode, "character")
expect_is(result$travel_time, "numeric")
suppressWarnings(result <- tester(group_by = character(0)))
expect_true(ncol(result) == 2)
expect_is(result$id, "character")
expect_is(result$travel_time, "numeric")
result <- tester(
data.table::data.table(
mode = character(),
from_id = character(),
to_id = character(),
travel_time = integer()
)
)
expect_true(ncol(result) == 3)
expect_true(nrow(result) == 0)
expect_is(result$id, "character")
expect_is(result$mode, "character")
expect_is(result$travel_time, "numeric")
})
test_that("input data sets remain unchanged", {
original_fast_smaller_matrix <- travel_matrix[1:10]
original_fast_smaller_matrix[, travel_time := travel_time / 4]
original_land_use_data <- readRDS(file.path(data_dir, "land_use_data.rds"))
result <- tester()
expect_identical(original_fast_smaller_matrix, fast_smaller_matrix)
expect_identical(original_land_use_data, land_use_data)
})
test_that("calculates balancing cost correctly", {
selected_ids <- c(
"89a88cda64fffff",
"89a88cdb027ffff",
"89a88cdb12bffff",
"89a88cdb287ffff",
"89a88cdb67bffff"
)
smaller_ttm <- travel_matrix[
from_id %in% selected_ids & to_id %in% selected_ids
]
smaller_ttm[mode == "transit2", travel_time := travel_time + 10]
result <- tester(smaller_ttm)
expected_result <- data.table::data.table(
id = rep(selected_ids, each = 2),
mode = rep(c("transit", "transit2"), 5),
travel_time = c(42, 52, 6, 16, 27, 37, 6, 16, 20, 30)
)
expect_identical(result, expected_result)
})
test_that("fill_missing_ids arg works correctly", {
test_matrix <- rbind(
fast_smaller_matrix,
fast_smaller_matrix[1][, mode := "transit2"]
)
result <- tester(test_matrix)
data.table::setkeyv(result, NULL)
expect_identical(
result,
data.table::data.table(
id = rep("89a88cdb57bffff", 2),
mode = c("transit", "transit2"),
travel_time = c(12, NA)
)
)
result <- tester(test_matrix, fill_missing_ids = FALSE)
expect_identical(
result,
data.table::data.table(
id = "89a88cdb57bffff",
mode = "transit",
travel_time = 12
)
)
})
test_that("cost_increment arg works correctly", {
selected_ids <- c(
"89a88cda64fffff",
"89a88cdb027ffff",
"89a88cdb12bffff",
"89a88cdb287ffff",
"89a88cdb67bffff"
)
smaller_ttm <- travel_matrix[
from_id %in% selected_ids & to_id %in% selected_ids
]
result <- tester(smaller_ttm)
expect_false(all(result$travel_time %% 2 == 0))
result <- tester(smaller_ttm, cost_increment = 2)
expect_true(all(result$travel_time %% 2 == 0))
})
test_that("works even if travel_matrix and land_use has specific colnames", {
expected_result <- tester()
fast_smaller_matrix[, opportunity := "oi"]
result <- suppressWarnings(tester(fast_smaller_matrix))
expect_identical(expected_result, result)
fast_smaller_matrix[, opportunity := NULL]
fast_smaller_matrix[, travel_cost := "oi"]
result <- suppressWarnings(tester(fast_smaller_matrix))
expect_identical(expected_result, result)
fast_smaller_matrix[, travel_cost := NULL]
fast_smaller_matrix[, groups := "oi"]
result <- suppressWarnings(tester(fast_smaller_matrix))
expect_identical(expected_result, result)
fast_smaller_matrix[, groups := NULL]
fast_smaller_matrix[, demand := "oi"]
result <- suppressWarnings(tester(fast_smaller_matrix))
expect_identical(expected_result, result)
fast_smaller_matrix[, demand := NULL]
land_use_data[, opportunity := "oi"]
result <- suppressWarnings(tester(land_use_data = land_use_data))
expect_identical(expected_result, result)
land_use_data[, opportunity := NULL]
land_use_data[, demand := "oi"]
result <- suppressWarnings(tester(land_use_data = land_use_data))
expect_identical(expected_result, result)
land_use_data[, demand := NULL]
})
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