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#' Get count of edge definitions where multiple edges occur
#'
#' @description
#'
#' Get a count of the number of edge definitions (e.g, `1` -> `2`) where there
#' are multiple edges (i.e., more than 1 edge of that definition, having
#' distinct edge ID values). So, for example, if there are 2 edge definitions in
#' the graph that involve 6 separate edge IDs (3 such edge IDs for each of the
#' pairs of nodes), the count will be `2`.
#'
#' @inheritParams render_graph
#'
#' @return A vector with a single, numerical value.
#'
#' @examples
#' # Create a node data frame (ndf)
#' ndf <-
#' create_node_df(
#' n = 5,
#' label = TRUE)
#'
#' # Create an edge data frame (edf)
#' edf <-
#' create_edge_df(
#' from = c(1, 4, 4, 3, 5, 1, 3, 4),
#' to = c(4, 1, 1, 2, 2, 2, 2, 1))
#'
#' # Create a graph with the ndf and edf
#' graph <-
#' create_graph(
#' nodes_df = ndf,
#' edges_df = edf)
#'
#' # Get the total number of edge
#' # definitions (e.g., `4` -> `1`) where
#' # there are multiple edges (i.e.,
#' # distinct edges with separate edge
#' # ID values)
#' graph %>% get_edge_count_w_multiedge()
#'
#' @export
get_edge_count_w_multiedge <- function(graph) {
# Validation: Graph object is valid
check_graph_valid(graph)
# Validation: Graph contains edges
check_graph_contains_edges(graph)
# Check for the number of multiple edges
# regardless of which definitions these
# edges have
multiedge_distinct_edge_def_count <-
graph$edges_df %>%
dplyr::select(from, to) %>%
dplyr::mutate(edge_from_to = paste0(from, "_", to), .keep = "none") %>%
dplyr::group_by(edge_from_to) %>%
dplyr::summarize(n = dplyr::n(), .groups = "drop") %>%
dplyr::filter(n > 1) %>%
nrow()
multiedge_distinct_edge_def_count
}
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