Warning in cost_to_closest()

[dhersz]

library(r5r)
#> Please make sure you have already allocated some memory to Java by running:
#>   options(java.parameters = '-Xmx2G').
#> You should replace '2G' by the amount of memory you'll require. Currently, Java memory is set to
library(accessibility)
library(data.table)

path <- system.file("extdata/poa", package = "r5r")

r5r_core <- setup_r5(path, verbose = FALSE)
#> Using cached R5 version from /home/dhersz/R/x86_64-pc-linux-gnu-library/4.2/r5r/jar/r5-v6.7-all.jar
#> 
#> Using cached network.dat from /home/dhersz/R/x86_64-pc-linux-gnu-library/4.2/r5r/extdata/poa/network.dat

points <- fread(file.path(path, "poa_hexgrid.csv"))

ttm <- travel_time_matrix(
  r5r_core,
  origins = points,
  destinations = points,
  mode = c("WALK", "TRANSIT"),
  departure_datetime = as.POSIXct(
    "13-05-2019 14:00:00",
    format = "%d-%m-%Y %H:%M:%S"
  ),
  max_walk_dist = 800,
  max_trip_duration = 120,
  verbose = FALSE,
  progress = FALSE
)

min_cost <- cost_to_closest(
  ttm,
  points,
  opportunity = "schools",
  travel_cost = "travel_time_p50"
)
#> Warning in `[.data.table`(filled_access_df, is.na(get(access_col)),
#> `:=`(eval(access_col, : inf (type 'double') at RHS position 1 truncated
#> (precision lost) when assigning to type 'integer' (column 2 named 'min_cost')

min_cost
#>                    id travel_time_p50
#>    1: 89a9012124fffff               0
#>    2: 89a9012126bffff              16
#>    3: 89a9012127bffff              14
#>    4: 89a90128003ffff               7
#>    5: 89a90128007ffff              16
#>   ---                                
#> 1218: 89a90e934cbffff              13
#> 1219: 89a90e934cfffff               9
#> 1220: 89a90e934d3ffff               7
#> 1221: 89a90e934d7ffff               0
#> 1222: 89a90e934dbffff              23

^{Created on 2022-09-23 by the reprex package (v2.0.1)}

[dhersz]

Fixed in dc65f17.