New dev version.

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: flownet
 Type: Package
 Title: Transport Modeling: Network Processing, Route Enumeration, and Traffic Assignment
-Version: 0.2.1
+Version: 0.2.1.9000
 Authors@R: c(person("Sebastian", "Krantz", email = "sebastian.krantz@graduateinstitute.ch", role = c("aut", "cre")),
              person("Kamol", "Roy", role = "ctb"))
 Description: High-performance tools for transport modeling - network processing, route 

NAMESPACE

@@ -31,6 +31,7 @@ importFrom(collapse,ckmatch)
 importFrom(collapse,collap)
 importFrom(collapse,colorder)
 importFrom(collapse,colorderv)
+importFrom(collapse,copyv)
 importFrom(collapse,dapply)
 importFrom(collapse,descr)
 importFrom(collapse,fduplicated)

NEWS.md

@@ -1,3 +1,7 @@
+# flownet 0.2.1.9000
+
+- Fixed issue in `consolidate_graph()` which used to modify columns (`from` and `to` in-place). Users in older versions are advised to input a `data.table::copy()` of the graph to retain it. 
+
 # flownet 0.2.1
 
 - `angle.max` constraint in `run_assignment()` is now two-sided (angle measured from origin and destination node against the straight line between them), rather than just one-sided (from origin). Also, the implementation is slightly more efficient.

R/utils.R

@@ -448,7 +448,7 @@ normalize_graph <- function(graph_df) {
 #' c(original = nrow(graph), consolidated = nrow(graph_cons))
 #'
 #' @export
-#' @importFrom collapse fnrow get_vars anyv setv ss seq_row fduplicated fmatch whichv whichNA allNA ffirst GRP collap %iin% %!in% %!iin% join colorderv funique.default %!=% %==% missing_cases qtab varying radixorderv groupv na_rm
+#' @importFrom collapse fnrow get_vars anyv setv copyv ss seq_row fduplicated fmatch whichv whichNA allNA ffirst GRP collap %iin% %!in% %!iin% join colorderv funique.default %!=% %==% missing_cases qtab varying radixorderv groupv na_rm
 #' @importFrom kit countOccur
 #' @importFrom stats setNames
 consolidate_graph <- function(graph_df, directed = FALSE,
@@ -541,7 +541,7 @@ consolidate_graph_core <- function(graph_df, directed = FALSE,
                               reci, nam_keep, verbose = TRUE) {
 
   keep <- seq_row(graph_df) # Global variable tracking utilized edges
-  gft <- get_vars(graph_df, c("from", "to", by)) |> unclass() # Local variable representing the current graph worked on
+  gft <- get_vars(graph_df, c("from", "to", by)) |> unclass() |> copyv(NA, NA) # Local variable representing the current graph worked on
 
   if(length(by)) {
     by_id <- groupv(get_vars(graph_df, by))