Nothing
context("Pareto frontier function")
# skips tests on CRAN since they require a specific version of java
testthat::skip_on_cran()
# create testing function
default_tester <- function(r5r_core,
origins = points[1:10,],
destinations = points[1:10,],
mode = "TRANSIT",
departure_datetime = as.POSIXct("13-05-2019 14:00:00",
format = "%d-%m-%Y %H:%M:%S"),
time_window = 1L,
percentiles = 50,
fare_structure = NULL,
fare_cutoffs = 0L,
max_walk_time = Inf,
max_bike_time = Inf,
max_trip_duration = 120L,
walk_speed = 3.6,
bike_speed = 12,
max_rides = 3,
n_threads = Inf,
verbose = FALSE,
progress=TRUE) {
results <- pareto_frontier(
r5r_core,
origins = origins,
destinations = destinations,
mode = mode,
departure_datetime = departure_datetime,
time_window = time_window,
percentiles = percentiles,
fare_structure = fare_structure,
fare_cutoffs = fare_cutoffs,
max_walk_time = max_walk_time,
max_bike_time = max_bike_time,
max_trip_duration = max_trip_duration,
walk_speed = walk_speed,
bike_speed = bike_speed,
max_rides = max_rides,
n_threads = n_threads,
verbose = verbose
)
return(results)
}
# load fare calculator object
fare_structure_path <- system.file("extdata/poa/fares/fares_poa.zip",
package = "r5r")
fare_structure <- r5r::read_fare_structure(fare_structure_path)
# errors and warnings -----------------------------------------------------
test_that("adequately raises errors", {
# error related to using object with wrong type as r5r_core
expect_error(default_tester("r5r_core"))
# error related to using wrong origins/destinations object type
multipoint_origins <- sf::st_cast(sf::st_as_sf(points[1:2,], coords = c("lon", "lat")), "MULTIPOINT")
multipoint_destinations <- multipoint_origins
list_origins <- list(id = c("1", "2"), lat = c(-30.02756, -30.02329), long = c(-51.22781, -51.21886))
list_destinations <- list_origins
expect_error(default_tester(r5r_core, origins = multipoint_origins))
expect_error(default_tester(r5r_core, destinations = multipoint_destinations))
expect_error(default_tester(r5r_core, origins = list_origins))
expect_error(default_tester(r5r_core, destinations = list_destinations))
expect_error(default_tester(r5r_core, origins = "origins"))
expect_error(default_tester(r5r_core, destinations = "destinations"))
# error/warning related to using wrong origins/destinations column types
origins <- destinations <- points[1:2, ]
origins_char_lat <- data.frame(id = origins$id, lat = as.character(origins$lat), lon = origins$lon)
origins_char_lon <- data.frame(id = origins$id, lat = origins$lat, lon = as.character(origins$lon))
destinations_char_lat <- data.frame(id = destinations$id, lat = as.character(destinations$lat), lon = destinations$lon)
destinations_char_lon <- data.frame(id = destinations$id, lat = destinations$lat, lon = as.character(destinations$lon))
expect_error(default_tester(r5r_core, origins = origins_char_lat))
expect_error(default_tester(r5r_core, origins = origins_char_lon))
expect_error(default_tester(r5r_core, destinations = destinations_char_lat))
expect_error(default_tester(r5r_core, destinations = destinations_char_lon))
# error related to nonexistent mode
expect_error(default_tester(r5r_core, mode = "pogoball"))
# errors related to date formatting
numeric_datetime <- as.numeric(as.POSIXct("13-05-2019 14:00:00", format = "%d-%m-%Y %H:%M:%S"))
expect_error(default_tester(r5r_core, departure_datetime = "13-05-2019 14:00:00"))
expect_error(default_tester(r5r_core, numeric_datetime))
# errors related to max_walk_time
expect_error(default_tester(r5r_core, max_walk_time = "1000"))
expect_error(default_tester(r5r_core, max_walk_time = NULL))
# errors related to max_bike_time
expect_error(default_tester(r5r_core, max_bike_time = "1000"))
expect_error(default_tester(r5r_core, max_bike_time = NULL))
# error/warning related to max_street_time
expect_error(default_tester(r5r_core, max_trip_duration = "120"))
# error related to non-numeric walk_speed
expect_error(default_tester(r5r_core, walk_speed = "3.6"))
# error related to non-numeric bike_speed
expect_error(default_tester(r5r_core, bike_speed = "12"))
# error related to too many or invalid percentiles
expect_error(default_tester(r5r_core, percentiles = .3))
expect_error(default_tester(r5r_core, percentiles = 1:6))
})
test_that("adequately raises warnings - needs java", {
# error/warning related to using wrong origins/destinations column types
origins <- destinations <- points[1:2, ]
origins_numeric_id <- data.frame(id = 1:2, lat = origins$lat, lon = origins$lon)
destinations_numeric_id <- data.frame(id = 1:2, lat = destinations$lat, lon = destinations$lon)
expect_warning(default_tester(r5r_core, origins = origins_numeric_id))
expect_warning(default_tester(r5r_core, destinations = destinations_numeric_id))
})
# adequate behaviour ------------------------------------------------------
test_that("output is correct", {
# * output class ---------------------------------------------------------
# expect results to be of class 'data.table', independently of the class of
# 'origins'/'destinations'
origins_sf <- destinations_sf <- sf::st_as_sf(
points[1:10, ],
coords = c("lon", "lat"),
crs = 4326
)
result_df_input <- default_tester(r5r_core)
result_sf_input <- default_tester(r5r_core, origins_sf, destinations_sf)
expect_true(is(result_df_input, "data.table"))
expect_true(is(result_sf_input, "data.table"))
# expect each column to be of right class
expect_true(typeof(result_df_input$from_id) == "character")
expect_true(typeof(result_df_input$to_id) == "character")
expect_true(typeof(result_df_input$travel_time ) == "integer")
# * r5r options ----------------------------------------------------------
result_sf_input <- default_tester(r5r_core, origins_sf, destinations_sf,
verbose = FALSE, progress=TRUE)
# * arguments ------------------------------------------------------------
# expect all travel times to be lower than max_trip_duration
origins <- destinations <- points[1:10,]
max_trip_duration <- 60L
df <- default_tester(r5r_core, origins, destinations, max_trip_duration = max_trip_duration)
max_duration <- data.table::setDT(df)[, max(travel_time)]
expect_true(max_duration <= max_trip_duration)
# expect number of rows to be lower than or equal to nrow(origins) * nrow(destinations)
max_trip_duration <- 300L
df <- default_tester(r5r_core, origins, destinations, max_trip_duration = max_trip_duration)
n_rows <- nrow(df)
expect_true(n_rows <= nrow(origins) * nrow(destinations))
})
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