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#' Delete all loop edges associated with a selection of nodes
#'
#' @description
#'
#' With a selection of nodes in a graph, remove any associated loop edges.
#'
#' This function makes use of an active selection of nodes (and the function
#' ending with `_ws` hints at this).
#'
#' Selections of nodes can be performed using the following node selection
#' (`select_*()`) functions: [select_nodes()], [select_last_nodes_created()],
#' [select_nodes_by_degree()], [select_nodes_by_id()], or
#' [select_nodes_in_neighborhood()].
#'
#' Selections of nodes can also be performed using the following traversal
#' (`trav_*()`) functions: [trav_out()], [trav_in()], [trav_both()],
#' [trav_out_node()], [trav_in_node()], [trav_out_until()], or
#' [trav_in_until()].
#'
#' @inheritParams render_graph
#'
#' @return A graph object of class `dgr_graph`.
#'
#' @examples
#' # Create an undirected, full graph
#' # of 5 nodes with loops retained
#' graph <-
#' create_graph(
#' directed = FALSE) %>%
#' add_full_graph(
#' n = 5,
#' keep_loops = TRUE)
#'
#' # Select nodes `3` and `4`
#' # and remove the loop edges
#' # associated with those nodes
#' graph <-
#' graph %>%
#' select_nodes_by_id(
#' nodes = 3:4) %>%
#' delete_loop_edges_ws()
#'
#' # Count the number of loop
#' # edges remaining in the graph
#' graph %>% count_loop_edges()
#'
#' @family edge creation and removal
#'
#' @export
delete_loop_edges_ws <- function(graph) {
# Get the time of function start
time_function_start <- Sys.time()
# Validation: Graph object is valid
check_graph_valid(graph)
# Validation: Graph contains nodes
check_graph_contains_nodes(graph, "So, there cannot be edges to delete.")
# Validation: Graph object has valid node selection
check_graph_contains_node_selection(graph)
# Get the graph's edf
edf <- graph$edges_df
# Get the number of edges in the graph
edges_graph_1 <- graph %>% count_edges()
# Filter edf such that any loop edges
# associated with the selected nodes
# are removed
selected_nodes <- suppressMessages(get_selection(graph))
edges_to_remove <-
selected_nodes %>%
purrr::map_df(
.f = function(x) {
edf %>%
dplyr::filter(
(from == x &
to == x))
})
edf_replacement <-
dplyr::setdiff(edf, edges_to_remove)
# Update the graph's edf
graph$edges_df <- edf_replacement
# Scavenge any invalid, linked data frames
graph <-
graph %>%
remove_linked_dfs()
# Get the updated number of edges in the graph
edges_graph_2 <- graph %>% count_edges()
# Get the number of edges added to
# the graph
edges_removed <- edges_graph_2 - edges_graph_1
# Get the name of the function
fcn_name <- get_calling_fcn()
# Update the `graph_log` df with an action
graph$graph_log <-
add_action_to_log(
graph_log = graph$graph_log,
version_id = nrow(graph$graph_log) + 1L,
function_used = fcn_name,
time_modified = time_function_start,
duration = graph_function_duration(time_function_start),
nodes = nrow(graph$nodes_df),
edges = nrow(graph$edges_df),
d_e = edges_removed)
# Perform graph actions, if any are available
if (nrow(graph$graph_actions) > 0) {
graph <-
trigger_graph_actions(graph)
}
# Write graph backup if the option is set
if (graph$graph_info$write_backups) {
save_graph_as_rds(graph = graph)
}
graph
}
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