# Generated by make -f Makefile-cigraph, do not edit by hand
# styler: off
empty_impl <- function(n=0, directed=TRUE) {
# Argument checks
n <- as.numeric(n)
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_empty, n, directed)
res
}
add_edges_impl <- function(graph, edges) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_add_edges, graph, edges)
res
}
copy_impl <- function(from) {
# Argument checks
ensure_igraph(from)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_copy, from)
res
}
delete_vertices_idx_impl <- function(graph, vertices) {
# Argument checks
ensure_igraph(graph)
vertices <- as_igraph_vs(graph, vertices)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_delete_vertices_idx, graph, vertices-1)
res
}
vcount_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_vcount, graph)
res
}
get_all_eids_between_impl <- function(graph, from, to, directed=TRUE) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
if (length(from) == 0) {
stop("No vertex was specified")
}
to <- as_igraph_vs(graph, to)
if (length(to) == 0) {
stop("No vertex was specified")
}
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_all_eids_between, graph, from-1, to-1, directed)
if (igraph_opt("return.vs.es")) {
res <- create_es(graph, res)
}
res
}
wheel_impl <- function(n, mode=c("out", "in", "undirected", "mutual"), center=0) {
# Argument checks
n <- as.numeric(n)
mode <- switch(igraph.match.arg(mode), "out"=0L, "in"=1L, "undirected"=2L, "mutual"=3L)
center <- as.numeric(center)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_wheel, n, mode, center)
res
}
square_lattice_impl <- function(dimvector, nei=1, directed=FALSE, mutual=FALSE, periodic=NULL) {
# Argument checks
dimvector <- as.numeric(dimvector)
nei <- as.numeric(nei)
directed <- as.logical(directed)
mutual <- as.logical(mutual)
if (!is.null(periodic)) periodic <- as.logical(periodic)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_square_lattice, dimvector, nei, directed, mutual, periodic)
res
}
triangular_lattice_impl <- function(dimvector, directed=FALSE, mutual=FALSE) {
# Argument checks
dimvector <- as.numeric(dimvector)
directed <- as.logical(directed)
mutual <- as.logical(mutual)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_triangular_lattice, dimvector, directed, mutual)
res
}
symmetric_tree_impl <- function(branches, type=c("out", "in", "undirected")) {
# Argument checks
branches <- as.numeric(branches)
type <- switch(igraph.match.arg(type), "out"=0L, "in"=1L, "undirected"=2L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_symmetric_tree, branches, type)
res
}
regular_tree_impl <- function(h, k=3, type=c("undirected", "out", "in")) {
# Argument checks
h <- as.numeric(h)
k <- as.numeric(k)
type <- switch(igraph.match.arg(type), "out"=0L, "in"=1L, "undirected"=2L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_regular_tree, h, k, type)
res
}
graph_power_impl <- function(graph, order, directed=FALSE) {
# Argument checks
ensure_igraph(graph)
order <- as.numeric(order)
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_graph_power, graph, order, directed)
res
}
lcf_vector_impl <- function(n, shifts, repeats=1) {
# Argument checks
n <- as.numeric(n)
shifts <- as.numeric(shifts)
repeats <- as.numeric(repeats)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_lcf_vector, n, shifts, repeats)
if (igraph_opt("add.params")) {
res$name <- 'LCF graph'
}
res
}
adjlist_impl <- function(adjlist, mode=c("out", "in", "all", "total"), duplicate=TRUE) {
# Argument checks
adjlist <- lapply(adjlist, function(x) as.numeric(x)-1)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
duplicate <- as.logical(duplicate)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_adjlist, adjlist, mode, duplicate)
res
}
full_multipartite_impl <- function(n, directed=FALSE, mode=c("all", "out", "in", "total")) {
# Argument checks
n <- as.numeric(n)
directed <- as.logical(directed)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_full_multipartite, n, directed, mode)
res
}
realize_degree_sequence_impl <- function(out.deg, in.deg=NULL, allowed.edge.types=c("simple", "loops", "multi", "all"), method=c("smallest", "largest", "index")) {
# Argument checks
out.deg <- as.numeric(out.deg)
if (!is.null(in.deg)) in.deg <- as.numeric(in.deg)
allowed.edge.types <- switch(igraph.match.arg(allowed.edge.types),
"simple"=0L, "loop"=1L, "loops"=1L, "multi"=6L, "multiple"=6L, "all"=7L)
method <- switch(igraph.match.arg(method), "smallest"=0L, "largest"=1L, "index"=2L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_realize_degree_sequence, out.deg, in.deg, allowed.edge.types, method)
if (igraph_opt("add.params")) {
res$name <- 'Graph from degree sequence'
res$out.deg <- out.deg
res$in.deg <- in.deg
res$allowed.edge.types <- allowed.edge.types
res$method <- method
}
res
}
realize_bipartite_degree_sequence_impl <- function(degrees1, degrees2, allowed.edge.types=c("simple", "loops", "multi", "all"), method=c("smallest", "largest", "index")) {
# Argument checks
degrees1 <- as.numeric(degrees1)
degrees2 <- as.numeric(degrees2)
allowed.edge.types <- switch(igraph.match.arg(allowed.edge.types),
"simple"=0L, "loop"=1L, "loops"=1L, "multi"=6L, "multiple"=6L, "all"=7L)
method <- switch(igraph.match.arg(method), "smallest"=0L, "largest"=1L, "index"=2L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_realize_bipartite_degree_sequence, degrees1, degrees2, allowed.edge.types, method)
if (igraph_opt("add.params")) {
res$name <- 'Bipartite graph from degree sequence'
res$degrees1 <- degrees1
res$degrees2 <- degrees2
res$allowed.edge.types <- allowed.edge.types
res$method <- method
}
res
}
circulant_impl <- function(n, shifts, directed=FALSE) {
# Argument checks
n <- as.numeric(n)
shifts <- as.numeric(shifts)
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_circulant, n, shifts, directed)
res
}
generalized_petersen_impl <- function(n, k) {
# Argument checks
n <- as.numeric(n)
k <- as.numeric(k)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_generalized_petersen, n, k)
res
}
turan_impl <- function(n, r) {
# Argument checks
n <- as.numeric(n)
r <- as.numeric(r)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_turan, n, r)
res
}
forest_fire_game_impl <- function(nodes, fw.prob, bw.factor=1, ambs=1, directed=TRUE) {
# Argument checks
nodes <- as.numeric(nodes)
fw.prob <- as.numeric(fw.prob)
bw.factor <- as.numeric(bw.factor)
ambs <- as.numeric(ambs)
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_forest_fire_game, nodes, fw.prob, bw.factor, ambs, directed)
if (igraph_opt("add.params")) {
res$name <- 'Forest fire model'
res$fw.prob <- fw.prob
res$bw.factor <- bw.factor
res$ambs <- ambs
}
res
}
simple_interconnected_islands_game_impl <- function(islands.n, islands.size, islands.pin, n.inter) {
# Argument checks
islands.n <- as.numeric(islands.n)
islands.size <- as.numeric(islands.size)
islands.pin <- as.numeric(islands.pin)
n.inter <- as.numeric(n.inter)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_simple_interconnected_islands_game, islands.n, islands.size, islands.pin, n.inter)
if (igraph_opt("add.params")) {
res$name <- 'Interconnected islands model'
res$islands.n <- islands.n
res$islands.size <- islands.size
res$islands.pin <- islands.pin
res$n.inter <- n.inter
}
res
}
static_fitness_game_impl <- function(no.of.edges, fitness.out, fitness.in=NULL, loops=FALSE, multiple=FALSE) {
# Argument checks
no.of.edges <- as.numeric(no.of.edges)
fitness.out <- as.numeric(fitness.out)
if (!is.null(fitness.in)) fitness.in <- as.numeric(fitness.in)
loops <- as.logical(loops)
multiple <- as.logical(multiple)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_static_fitness_game, no.of.edges, fitness.out, fitness.in, loops, multiple)
if (igraph_opt("add.params")) {
res$name <- 'Static fitness model'
res$loops <- loops
res$multiple <- multiple
}
res
}
static_power_law_game_impl <- function(no.of.nodes, no.of.edges, exponent.out, exponent.in=-1, loops=FALSE, multiple=FALSE, finite.size.correction=TRUE) {
# Argument checks
no.of.nodes <- as.numeric(no.of.nodes)
no.of.edges <- as.numeric(no.of.edges)
exponent.out <- as.numeric(exponent.out)
exponent.in <- as.numeric(exponent.in)
loops <- as.logical(loops)
multiple <- as.logical(multiple)
finite.size.correction <- as.logical(finite.size.correction)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_static_power_law_game, no.of.nodes, no.of.edges, exponent.out, exponent.in, loops, multiple, finite.size.correction)
if (igraph_opt("add.params")) {
res$name <- 'Static power law model'
res$exponent.out <- exponent.out
res$exponent.in <- exponent.in
res$loops <- loops
res$multiple <- multiple
res$finite.size.correction <- finite.size.correction
}
res
}
k_regular_game_impl <- function(no.of.nodes, k, directed=FALSE, multiple=FALSE) {
# Argument checks
no.of.nodes <- as.numeric(no.of.nodes)
k <- as.numeric(k)
directed <- as.logical(directed)
multiple <- as.logical(multiple)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_k_regular_game, no.of.nodes, k, directed, multiple)
if (igraph_opt("add.params")) {
res$name <- 'k-regular graph'
res$k <- k
}
res
}
sbm_game_impl <- function(n, pref.matrix, block.sizes, directed=FALSE, loops=FALSE) {
# Argument checks
n <- as.numeric(n)
pref.matrix[] <- as.numeric(pref.matrix)
block.sizes <- as.numeric(block.sizes)
directed <- as.logical(directed)
loops <- as.logical(loops)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_sbm_game, n, pref.matrix, block.sizes, directed, loops)
if (igraph_opt("add.params")) {
res$name <- 'Stochastic block model'
res$loops <- loops
}
res
}
hsbm_game_impl <- function(n, m, rho, C, p) {
# Argument checks
n <- as.numeric(n)
m <- as.numeric(m)
rho <- as.numeric(rho)
C[] <- as.numeric(C)
p <- as.numeric(p)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hsbm_game, n, m, rho, C, p)
if (igraph_opt("add.params")) {
res$name <- 'Hierarchical stochastic block model'
res$m <- m
res$rho <- rho
res$C <- C
res$p <- p
}
res
}
hsbm_list_game_impl <- function(n, mlist, rholist, Clist, p) {
# Argument checks
n <- as.numeric(n)
mlist <- as.numeric(mlist)
p <- as.numeric(p)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hsbm_list_game, n, mlist, rholist, Clist, p)
if (igraph_opt("add.params")) {
res$name <- 'Hierarchical stochastic block model'
res$p <- p
}
res
}
correlated_game_impl <- function(old.graph, corr, p=edge_density(old.graph), permutation=NULL) {
# Argument checks
ensure_igraph(old.graph)
corr <- as.numeric(corr)
p <- as.numeric(p)
if (!is.null(permutation)) permutation <- as.numeric(permutation)-1
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_correlated_game, old.graph, corr, p, permutation)
if (igraph_opt("add.params")) {
res$name <- 'Correlated random graph'
res$corr <- corr
res$p <- p
}
res
}
correlated_pair_game_impl <- function(n, corr, p, directed=FALSE, permutation=NULL) {
# Argument checks
n <- as.numeric(n)
corr <- as.numeric(corr)
p <- as.numeric(p)
directed <- as.logical(directed)
if (!is.null(permutation)) permutation <- as.numeric(permutation)-1
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_correlated_pair_game, n, corr, p, directed, permutation)
res
}
dot_product_game_impl <- function(vecs, directed=FALSE) {
# Argument checks
vecs[] <- as.numeric(vecs)
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_dot_product_game, vecs, directed)
res
}
sample_sphere_surface_impl <- function(dim, n=1, radius=1, positive=TRUE) {
# Argument checks
dim <- as.numeric(dim)
n <- as.numeric(n)
radius <- as.numeric(radius)
positive <- as.logical(positive)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_sample_sphere_surface, dim, n, radius, positive)
res
}
sample_sphere_volume_impl <- function(dim, n=1, radius=1, positive=TRUE) {
# Argument checks
dim <- as.numeric(dim)
n <- as.numeric(n)
radius <- as.numeric(radius)
positive <- as.logical(positive)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_sample_sphere_volume, dim, n, radius, positive)
res
}
sample_dirichlet_impl <- function(n, alpha) {
# Argument checks
n <- as.numeric(n)
alpha <- as.numeric(alpha)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_sample_dirichlet, n, alpha)
res
}
are_adjacent_impl <- function(graph, v1, v2) {
# Argument checks
ensure_igraph(graph)
v1 <- as_igraph_vs(graph, v1)
if (length(v1) == 0) {
stop("No vertex was specified")
}
v2 <- as_igraph_vs(graph, v2)
if (length(v2) == 0) {
stop("No vertex was specified")
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_are_adjacent, graph, v1-1, v2-1)
res
}
distances_impl <- function(graph, from=V(graph), to=V(graph), mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
to <- as_igraph_vs(graph, to)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_distances, graph, from-1, to-1, mode)
res
}
distances_cutoff_impl <- function(graph, from=V(graph), to=V(graph), mode=c("out", "in", "all", "total"), cutoff=-1) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
to <- as_igraph_vs(graph, to)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
cutoff <- as.numeric(cutoff)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_distances_cutoff, graph, from-1, to-1, mode, cutoff)
res
}
get_shortest_path_impl <- function(graph, from, to, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
if (length(from) == 0) {
stop("No vertex was specified")
}
to <- as_igraph_vs(graph, to)
if (length(to) == 0) {
stop("No vertex was specified")
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_shortest_path, graph, from-1, to-1, mode)
if (igraph_opt("return.vs.es")) {
res$vertices <- create_vs(graph, res$vertices)
}
if (igraph_opt("return.vs.es")) {
res$edges <- create_es(graph, res$edges)
}
res
}
get_shortest_path_bellman_ford_impl <- function(graph, from, to, weights=NULL, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
if (length(from) == 0) {
stop("No vertex was specified")
}
to <- as_igraph_vs(graph, to)
if (length(to) == 0) {
stop("No vertex was specified")
}
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_shortest_path_bellman_ford, graph, from-1, to-1, weights, mode)
if (igraph_opt("return.vs.es")) {
res$vertices <- create_vs(graph, res$vertices)
}
if (igraph_opt("return.vs.es")) {
res$edges <- create_es(graph, res$edges)
}
res
}
get_shortest_path_dijkstra_impl <- function(graph, from, to, weights=NULL, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
if (length(from) == 0) {
stop("No vertex was specified")
}
to <- as_igraph_vs(graph, to)
if (length(to) == 0) {
stop("No vertex was specified")
}
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_shortest_path_dijkstra, graph, from-1, to-1, weights, mode)
if (igraph_opt("return.vs.es")) {
res$vertices <- create_vs(graph, res$vertices)
}
if (igraph_opt("return.vs.es")) {
res$edges <- create_es(graph, res$edges)
}
res
}
distances_dijkstra_impl <- function(graph, from=V(graph), to=V(graph), weights, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
to <- as_igraph_vs(graph, to)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_distances_dijkstra, graph, from-1, to-1, weights, mode)
res
}
distances_dijkstra_cutoff_impl <- function(graph, from=V(graph), to=V(graph), weights, mode=c("out", "in", "all", "total"), cutoff=-1) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
to <- as_igraph_vs(graph, to)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
cutoff <- as.numeric(cutoff)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_distances_dijkstra_cutoff, graph, from-1, to-1, weights, mode, cutoff)
res
}
distances_bellman_ford_impl <- function(graph, from=V(graph), to=V(graph), weights, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
to <- as_igraph_vs(graph, to)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_distances_bellman_ford, graph, from-1, to-1, weights, mode)
res
}
distances_johnson_impl <- function(graph, from=V(graph), to=V(graph), weights) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
to <- as_igraph_vs(graph, to)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_distances_johnson, graph, from-1, to-1, weights)
res
}
distances_floyd_warshall_impl <- function(graph, from=V(graph), to=V(graph), weights=NULL, mode=c("out", "in", "all", "total"), method) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
to <- as_igraph_vs(graph, to)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_distances_floyd_warshall, graph, from-1, to-1, weights, mode, method)
res
}
voronoi_impl <- function(graph, generators, ..., weights=NULL, mode=c("out", "in", "all", "total"), tiebreaker=c("random", "first", "last")) {
# Argument checks
check_dots_empty()
ensure_igraph(graph)
generators <- as_igraph_vs(graph, generators)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
tiebreaker <- switch(igraph.match.arg(tiebreaker), "first"=0L, "last"=1L, "random"=2L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_voronoi, graph, generators-1, weights, mode, tiebreaker)
res
}
get_k_shortest_paths_impl <- function(graph, from, to, ..., k, weights=NULL, mode=c("out", "in", "all", "total")) {
# Argument checks
check_dots_empty()
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
k <- as.numeric(k)
from <- as_igraph_vs(graph, from)
if (length(from) == 0) {
stop("No vertex was specified")
}
to <- as_igraph_vs(graph, to)
if (length(to) == 0) {
stop("No vertex was specified")
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_k_shortest_paths, graph, weights, k, from-1, to-1, mode)
if (igraph_opt("return.vs.es")) {
res$vpaths <- lapply(res$vpaths, unsafe_create_vs, graph = graph, verts = V(graph))
}
if (igraph_opt("return.vs.es")) {
res$epaths <- lapply(res$epaths, unsafe_create_es, graph = graph, es = E(graph))
}
res
}
get_widest_path_impl <- function(graph, from, to, weights=NULL, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
if (length(from) == 0) {
stop("No vertex was specified")
}
to <- as_igraph_vs(graph, to)
if (length(to) == 0) {
stop("No vertex was specified")
}
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_widest_path, graph, from-1, to-1, weights, mode)
if (igraph_opt("return.vs.es")) {
res$vertices <- create_vs(graph, res$vertices)
}
if (igraph_opt("return.vs.es")) {
res$edges <- create_es(graph, res$edges)
}
res
}
get_widest_paths_impl <- function(graph, from, to=V(graph), weights=NULL, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
if (length(from) == 0) {
stop("No vertex was specified")
}
to <- as_igraph_vs(graph, to)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_widest_paths, graph, from-1, to-1, weights, mode)
if (igraph_opt("return.vs.es")) {
res$vertices <- lapply(res$vertices, unsafe_create_vs, graph = graph, verts = V(graph))
}
if (igraph_opt("return.vs.es")) {
res$edges <- lapply(res$edges, unsafe_create_es, graph = graph, es = E(graph))
}
res
}
widest_path_widths_dijkstra_impl <- function(graph, from=V(graph), to=V(graph), weights, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
to <- as_igraph_vs(graph, to)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_widest_path_widths_dijkstra, graph, from-1, to-1, weights, mode)
res
}
widest_path_widths_floyd_warshall_impl <- function(graph, from=V(graph), to=V(graph), weights, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
from <- as_igraph_vs(graph, from)
to <- as_igraph_vs(graph, to)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_widest_path_widths_floyd_warshall, graph, from-1, to-1, weights, mode)
res
}
spanner_impl <- function(graph, stretch, weights=NULL) {
# Argument checks
ensure_igraph(graph)
stretch <- as.numeric(stretch)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_spanner, graph, stretch, weights)
if (igraph_opt("return.vs.es")) {
res <- create_es(graph, res)
}
res
}
betweenness_subset_impl <- function(graph, vids=V(graph), directed=TRUE, sources=V(graph), targets=V(graph), weights=NULL) {
# Argument checks
ensure_igraph(graph)
vids <- as_igraph_vs(graph, vids)
directed <- as.logical(directed)
sources <- as_igraph_vs(graph, sources)
targets <- as_igraph_vs(graph, targets)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_betweenness_subset, graph, vids-1, directed, sources-1, targets-1, weights)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res) <- vertex_attr(graph, "name", vids)
}
res
}
edge_betweenness_subset_impl <- function(graph, eids=E(graph), directed=TRUE, sources=V(graph), targets=V(graph), weights=NULL) {
# Argument checks
ensure_igraph(graph)
eids <- as_igraph_es(graph, eids)
directed <- as.logical(directed)
sources <- as_igraph_vs(graph, sources)
targets <- as_igraph_vs(graph, targets)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_edge_betweenness_subset, graph, eids-1, directed, sources-1, targets-1, weights)
res
}
harmonic_centrality_cutoff_impl <- function(graph, vids=V(graph), mode=c("out", "in", "all", "total"), weights=NULL, normalized=FALSE, cutoff=-1) {
# Argument checks
ensure_igraph(graph)
vids <- as_igraph_vs(graph, vids)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
normalized <- as.logical(normalized)
cutoff <- as.numeric(cutoff)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_harmonic_centrality_cutoff, graph, vids-1, mode, weights, normalized, cutoff)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res) <- vertex_attr(graph, "name", vids)
}
res
}
personalized_pagerank_impl <- function(graph, algo=c("prpack", "arpack"), vids=V(graph), directed=TRUE, damping=0.85, personalized=NULL, weights=NULL, options=NULL) {
# Argument checks
ensure_igraph(graph)
algo <- switch(igraph.match.arg(algo), "arpack"=1L, "prpack"=2L)
vids <- as_igraph_vs(graph, vids)
directed <- as.logical(directed)
damping <- as.numeric(damping)
if (!is.null(personalized)) personalized <- as.numeric(personalized)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
if (is.null(options)) {
if (algo == 0L) {
options <- list(niter=1000, eps=0.001)
} else if (algo == 1L) {
options <- arpack_defaults()
} else {
options <- NULL
}
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_personalized_pagerank, graph, algo, vids-1, directed, damping, personalized, weights, options)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$vector) <- vertex_attr(graph, "name", vids)
}
res
}
personalized_pagerank_vs_impl <- function(graph, algo=c("prpack", "arpack"), vids=V(graph), directed=TRUE, damping=0.85, reset.vids, weights=NULL, options=NULL, details=FALSE) {
# Argument checks
ensure_igraph(graph)
algo <- switch(igraph.match.arg(algo), "arpack"=1L, "prpack"=2L)
vids <- as_igraph_vs(graph, vids)
directed <- as.logical(directed)
damping <- as.numeric(damping)
reset.vids <- as_igraph_vs(graph, reset.vids)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
if (is.null(options)) {
if (algo == 0L) {
options <- list(niter=1000, eps=0.001)
} else if (algo == 1L) {
options <- arpack_defaults()
} else {
options <- NULL
}
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_personalized_pagerank_vs, graph, algo, vids-1, directed, damping, reset.vids-1, weights, options)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$vector) <- vertex_attr(graph, "name", vids)
}
if (!details) {
res <- res$vector
}
res
}
subgraph_from_edges_impl <- function(graph, eids, delete.vertices=TRUE) {
# Argument checks
ensure_igraph(graph)
eids <- as_igraph_es(graph, eids)
delete.vertices <- as.logical(delete.vertices)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_subgraph_from_edges, graph, eids-1, delete.vertices)
res
}
reverse_edges_impl <- function(graph, eids=E(graph)) {
# Argument checks
ensure_igraph(graph)
eids <- as_igraph_es(graph, eids)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_reverse_edges, graph, eids-1)
res
}
average_path_length_dijkstra_impl <- function(graph, weights=NULL, directed=TRUE, unconnected=TRUE, details=FALSE) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
directed <- as.logical(directed)
unconnected <- as.logical(unconnected)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_average_path_length_dijkstra, graph, weights, directed, unconnected)
if (!details) {
res <- res$res
}
res
}
path_length_hist_impl <- function(graph, directed=TRUE) {
# Argument checks
ensure_igraph(graph)
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_path_length_hist, graph, directed)
res
}
simplify_impl <- function(graph, remove.multiple=TRUE, remove.loops=TRUE, edge.attr.comb=igraph_opt("edge.attr.comb")) {
# Argument checks
ensure_igraph(graph)
remove.multiple <- as.logical(remove.multiple)
remove.loops <- as.logical(remove.loops)
edge.attr.comb <- igraph.i.attribute.combination(edge.attr.comb)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_simplify, graph, remove.multiple, remove.loops, edge.attr.comb)
res
}
ecc_impl <- function(graph, eids=E(graph), k=3, offset=FALSE, normalize=TRUE) {
# Argument checks
ensure_igraph(graph)
eids <- as_igraph_es(graph, eids)
k <- as.numeric(k)
offset <- as.logical(offset)
normalize <- as.logical(normalize)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_ecc, graph, eids-1, k, offset, normalize)
res
}
reciprocity_impl <- function(graph, ignore.loops=TRUE, mode=c("default", "ratio")) {
# Argument checks
ensure_igraph(graph)
ignore.loops <- as.logical(ignore.loops)
mode <- switch(igraph.match.arg(mode), "default"=0L, "ratio"=1L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_reciprocity, graph, ignore.loops, mode)
res
}
feedback_arc_set_impl <- function(graph, weights=NULL, algo=c("approx_eades", "exact_ip")) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
algo <- switch(igraph.match.arg(algo), "exact_ip"=0L, "approx_eades"=1L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_feedback_arc_set, graph, weights, algo)
if (igraph_opt("return.vs.es")) {
res <- create_es(graph, res)
}
res
}
is_loop_impl <- function(graph, eids=E(graph)) {
# Argument checks
ensure_igraph(graph)
eids <- as_igraph_es(graph, eids)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_loop, graph, eids-1)
res
}
is_dag_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_dag, graph)
res
}
is_acyclic_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_acyclic, graph)
res
}
is_simple_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_simple, graph)
res
}
is_multiple_impl <- function(graph, eids=E(graph)) {
# Argument checks
ensure_igraph(graph)
eids <- as_igraph_es(graph, eids)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_multiple, graph, eids-1)
res
}
has_loop_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_has_loop, graph)
res
}
has_multiple_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_has_multiple, graph)
res
}
count_multiple_impl <- function(graph, eids=E(graph)) {
# Argument checks
ensure_igraph(graph)
eids <- as_igraph_es(graph, eids)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_count_multiple, graph, eids-1)
res
}
is_perfect_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_perfect, graph)
res
}
eigenvector_centrality_impl <- function(graph, directed=FALSE, scale=TRUE, weights=NULL, options=arpack_defaults()) {
# Argument checks
ensure_igraph(graph)
directed <- as.logical(directed)
scale <- as.logical(scale)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
options <- modify_list(arpack_defaults(), options)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_eigenvector_centrality, graph, directed, scale, weights, options)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$vector) <- vertex_attr(graph, "name", V(graph))
}
res
}
hub_score_impl <- function(graph, scale=TRUE, weights=NULL, options=arpack_defaults()) {
# Argument checks
ensure_igraph(graph)
scale <- as.logical(scale)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
options <- modify_list(arpack_defaults(), options)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hub_score, graph, scale, weights, options)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$vector) <- vertex_attr(graph, "name", V(graph))
}
res
}
authority_score_impl <- function(graph, scale=TRUE, weights=NULL, options=arpack_defaults()) {
# Argument checks
ensure_igraph(graph)
scale <- as.logical(scale)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
options <- modify_list(arpack_defaults(), options)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_authority_score, graph, scale, weights, options)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$vector) <- vertex_attr(graph, "name", V(graph))
}
res
}
hub_and_authority_scores_impl <- function(graph, scale=TRUE, weights=NULL, options=arpack_defaults()) {
# Argument checks
ensure_igraph(graph)
scale <- as.logical(scale)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
options <- modify_list(arpack_defaults(), options)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hub_and_authority_scores, graph, scale, weights, options)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$hub.vector) <- vertex_attr(graph, "name", V(graph))
}
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$authority.vector) <- vertex_attr(graph, "name", V(graph))
}
res
}
is_mutual_impl <- function(graph, eids=E(graph), loops=TRUE) {
# Argument checks
ensure_igraph(graph)
eids <- as_igraph_es(graph, eids)
loops <- as.logical(loops)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_mutual, graph, eids-1, loops)
res
}
has_mutual_impl <- function(graph, loops=TRUE) {
# Argument checks
ensure_igraph(graph)
loops <- as.logical(loops)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_has_mutual, graph, loops)
res
}
maximum_cardinality_search_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_maximum_cardinality_search, graph)
if (igraph_opt("return.vs.es")) {
res$alpham1 <- create_vs(graph, res$alpham1)
}
res
}
avg_nearest_neighbor_degree_impl <- function(graph, vids=V(graph), mode=c("all", "out", "in", "total"), neighbor.degree.mode=c("all", "out", "in", "total"), weights=NULL) {
# Argument checks
ensure_igraph(graph)
vids <- as_igraph_vs(graph, vids)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
neighbor.degree.mode <- switch(igraph.match.arg(neighbor.degree.mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_avg_nearest_neighbor_degree, graph, vids-1, mode, neighbor.degree.mode, weights)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$knn) <- vertex_attr(graph, "name", vids)
}
res
}
degree_correlation_vector_impl <- function(graph, weights=NULL, from.mode=c("out", "in", "all", "total"), to.mode=c("in", "out", "all", "total"), directed.neighbors=TRUE) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
from.mode <- switch(igraph.match.arg(from.mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
to.mode <- switch(igraph.match.arg(to.mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
directed.neighbors <- as.logical(directed.neighbors)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_degree_correlation_vector, graph, weights, from.mode, to.mode, directed.neighbors)
res
}
strength_impl <- function(graph, vids=V(graph), mode=c("all", "out", "in", "total"), loops=TRUE, weights=NULL) {
# Argument checks
ensure_igraph(graph)
vids <- as_igraph_vs(graph, vids)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
loops <- as.logical(loops)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_strength, graph, vids-1, mode, loops, weights)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res) <- vertex_attr(graph, "name", vids)
}
res
}
centralization_impl <- function(scores, theoretical.max=0, normalized=TRUE) {
# Argument checks
scores <- as.numeric(scores)
theoretical.max <- as.numeric(theoretical.max)
normalized <- as.logical(normalized)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_centralization, scores, theoretical.max, normalized)
res
}
centralization_degree_impl <- function(graph, mode=c("all", "out", "in", "total"), loops=TRUE, normalized=TRUE) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
loops <- as.logical(loops)
normalized <- as.logical(normalized)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_centralization_degree, graph, mode, loops, normalized)
res
}
centralization_betweenness_impl <- function(graph, directed=TRUE, normalized=TRUE) {
# Argument checks
ensure_igraph(graph)
directed <- as.logical(directed)
normalized <- as.logical(normalized)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_centralization_betweenness, graph, directed, normalized)
res
}
centralization_betweenness_tmax_impl <- function(graph=NULL, nodes=0, directed=TRUE) {
# Argument checks
if (!is.null(graph)) ensure_igraph(graph)
nodes <- as.numeric(nodes)
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_centralization_betweenness_tmax, graph, nodes, directed)
res
}
centralization_closeness_impl <- function(graph, mode=c("out", "in", "all", "total"), normalized=TRUE) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
normalized <- as.logical(normalized)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_centralization_closeness, graph, mode, normalized)
res
}
centralization_closeness_tmax_impl <- function(graph=NULL, nodes=0, mode=c("out", "in", "all", "total")) {
# Argument checks
if (!is.null(graph)) ensure_igraph(graph)
nodes <- as.numeric(nodes)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_centralization_closeness_tmax, graph, nodes, mode)
res
}
centralization_eigenvector_centrality_impl <- function(graph, directed=FALSE, scale=TRUE, options=arpack_defaults(), normalized=TRUE) {
# Argument checks
ensure_igraph(graph)
directed <- as.logical(directed)
scale <- as.logical(scale)
options <- modify_list(arpack_defaults(), options)
normalized <- as.logical(normalized)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_centralization_eigenvector_centrality, graph, directed, scale, options, normalized)
res
}
centralization_eigenvector_centrality_tmax_impl <- function(graph=NULL, nodes=0, directed=FALSE, scale=TRUE) {
# Argument checks
if (!is.null(graph)) ensure_igraph(graph)
nodes <- as.numeric(nodes)
directed <- as.logical(directed)
scale <- as.logical(scale)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_centralization_eigenvector_centrality_tmax, graph, nodes, directed, scale)
res
}
assortativity_nominal_impl <- function(graph, types, directed=TRUE, normalized=TRUE) {
# Argument checks
ensure_igraph(graph)
types <- as.numeric(types)-1
directed <- as.logical(directed)
normalized <- as.logical(normalized)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_assortativity_nominal, graph, types, directed, normalized)
res
}
assortativity_impl <- function(graph, values, values.in=NULL, directed=TRUE, normalized=TRUE) {
# Argument checks
ensure_igraph(graph)
values <- as.numeric(values)
if (!is.null(values.in)) values.in <- as.numeric(values.in)
directed <- as.logical(directed)
normalized <- as.logical(normalized)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_assortativity, graph, values, values.in, directed, normalized)
res
}
assortativity_degree_impl <- function(graph, directed=TRUE) {
# Argument checks
ensure_igraph(graph)
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_assortativity_degree, graph, directed)
res
}
joint_degree_matrix_impl <- function(graph, weights=NULL, max.out.degree=-1, max.in.degree=-1) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
max.out.degree <- as.numeric(max.out.degree)
max.in.degree <- as.numeric(max.in.degree)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_joint_degree_matrix, graph, weights, max.out.degree, max.in.degree)
res
}
joint_degree_distribution_impl <- function(graph, weights=NULL, from.mode=c("out", "in", "all", "total"), to.mode=c("in", "out", "all", "total"), directed.neighbors=TRUE, normalized=TRUE, max.from.degree=-1, max.to.degree=-1) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
from.mode <- switch(igraph.match.arg(from.mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
to.mode <- switch(igraph.match.arg(to.mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
directed.neighbors <- as.logical(directed.neighbors)
normalized <- as.logical(normalized)
max.from.degree <- as.numeric(max.from.degree)
max.to.degree <- as.numeric(max.to.degree)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_joint_degree_distribution, graph, weights, from.mode, to.mode, directed.neighbors, normalized, max.from.degree, max.to.degree)
res
}
joint_type_distribution_impl <- function(graph, weights=NULL, from.types, to.types=NULL, directed=TRUE, normalized=TRUE) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
from.types <- as.numeric(from.types)-1
to.types <- as.numeric(to.types)-1
directed <- as.logical(directed)
normalized <- as.logical(normalized)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_joint_type_distribution, graph, weights, from.types, to.types, directed, normalized)
res
}
contract_vertices_impl <- function(graph, mapping, vertex.attr.comb=igraph_opt("vertex.attr.comb")) {
# Argument checks
ensure_igraph(graph)
mapping <- as.numeric(mapping)-1
vertex.attr.comb <- igraph.i.attribute.combination(vertex.attr.comb)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_contract_vertices, graph, mapping, vertex.attr.comb)
res
}
eccentricity_dijkstra_impl <- function(graph, vids=V(graph), ..., weights=NULL, mode=c("all", "out", "in", "total")) {
# Argument checks
check_dots_empty()
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
vids <- as_igraph_vs(graph, vids)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_eccentricity_dijkstra, graph, weights, vids-1, mode)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res) <- vertex_attr(graph, "name", vids)
}
res
}
graph_center_dijkstra_impl <- function(graph, ..., weights=NULL, mode=c("all", "out", "in", "total")) {
# Argument checks
check_dots_empty()
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_graph_center_dijkstra, graph, weights, mode)
if (igraph_opt("return.vs.es")) {
res <- create_vs(graph, res)
}
res
}
radius_dijkstra_impl <- function(graph, ..., weights=NULL, mode=c("all", "out", "in", "total")) {
# Argument checks
check_dots_empty()
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_radius_dijkstra, graph, weights, mode)
res
}
pseudo_diameter_impl <- function(graph, start.vid, directed=TRUE, unconnected=TRUE) {
# Argument checks
ensure_igraph(graph)
start.vid <- as_igraph_vs(graph, start.vid)
if (length(start.vid) == 0) {
stop("No vertex was specified")
}
directed <- as.logical(directed)
unconnected <- as.logical(unconnected)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_pseudo_diameter, graph, start.vid-1, directed, unconnected)
res
}
pseudo_diameter_dijkstra_impl <- function(graph, weights=NULL, start.vid, directed=TRUE, unconnected=TRUE) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
start.vid <- as_igraph_vs(graph, start.vid)
if (length(start.vid) == 0) {
stop("No vertex was specified")
}
directed <- as.logical(directed)
unconnected <- as.logical(unconnected)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_pseudo_diameter_dijkstra, graph, weights, start.vid-1, directed, unconnected)
res
}
diversity_impl <- function(graph, weights=NULL, vids=V(graph)) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
vids <- as_igraph_vs(graph, vids)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_diversity, graph, weights, vids-1)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res) <- vertex_attr(graph, "name", vids)
}
res
}
random_walk_impl <- function(graph, start, steps, weights=NULL, mode=c("out", "in", "all", "total"), stuck=c("return", "error")) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
start <- as_igraph_vs(graph, start)
if (length(start) == 0) {
stop("No vertex was specified")
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
steps <- as.numeric(steps)
stuck <- switch(igraph.match.arg(stuck), "error" = 0L, "return" = 1L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_random_walk, graph, weights, start-1, mode, steps, stuck)
if (igraph_opt("return.vs.es")) {
res$vertices <- create_vs(graph, res$vertices)
}
if (igraph_opt("return.vs.es")) {
res$edges <- create_es(graph, res$edges)
}
res
}
random_edge_walk_impl <- function(graph, start, steps, weights=NULL, mode=c("out", "in", "all", "total"), stuck=c("return", "error")) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
start <- as_igraph_vs(graph, start)
if (length(start) == 0) {
stop("No vertex was specified")
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
steps <- as.numeric(steps)
stuck <- switch(igraph.match.arg(stuck), "error" = 0L, "return" = 1L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_random_edge_walk, graph, weights, start-1, mode, steps, stuck)
if (igraph_opt("return.vs.es")) {
res <- create_es(graph, res)
}
res
}
global_efficiency_impl <- function(graph, weights=NULL, directed=TRUE) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_global_efficiency, graph, weights, directed)
res
}
local_efficiency_impl <- function(graph, vids=V(graph), weights=NULL, directed=TRUE, mode=c("all", "out", "in", "total")) {
# Argument checks
ensure_igraph(graph)
vids <- as_igraph_vs(graph, vids)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
directed <- as.logical(directed)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_local_efficiency, graph, vids-1, weights, directed, mode)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res) <- vertex_attr(graph, "name", vids)
}
res
}
average_local_efficiency_impl <- function(graph, weights=NULL, directed=TRUE, mode=c("all", "out", "in", "total")) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
directed <- as.logical(directed)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_average_local_efficiency, graph, weights, directed, mode)
res
}
transitive_closure_dag_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_transitive_closure_dag, graph)
res
}
trussness_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_trussness, graph)
res
}
is_graphical_impl <- function(out.deg, in.deg=NULL, allowed.edge.types=c("simple", "loops", "multi", "all")) {
# Argument checks
out.deg <- as.numeric(out.deg)
if (!is.null(in.deg)) in.deg <- as.numeric(in.deg)
allowed.edge.types <- switch(igraph.match.arg(allowed.edge.types),
"simple"=0L, "loop"=1L, "loops"=1L, "multi"=6L, "multiple"=6L, "all"=7L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_graphical, out.deg, in.deg, allowed.edge.types)
res
}
bfs_simple_impl <- function(graph, root, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
root <- as_igraph_vs(graph, root)
if (length(root) == 0) {
stop("No vertex was specified")
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_bfs_simple, graph, root-1, mode)
if (igraph_opt("return.vs.es")) {
res$order <- create_vs(graph, res$order)
}
res
}
bipartite_projection_size_impl <- function(graph, types=NULL) {
# Argument checks
ensure_igraph(graph)
types <- handle_vertex_type_arg(types, graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_bipartite_projection_size, graph, types)
res
}
biadjacency_impl <- function(incidence, directed=FALSE, mode=c("all", "out", "in", "total"), multiple=FALSE) {
# Argument checks
incidence[] <- as.numeric(incidence)
directed <- as.logical(directed)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
multiple <- as.logical(multiple)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_biadjacency, incidence, directed, mode, multiple)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$types) <- vertex_attr(graph, "name", V(graph))
}
res
}
get_biadjacency_impl <- function(graph, types=NULL) {
# Argument checks
ensure_igraph(graph)
types <- handle_vertex_type_arg(types, graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_biadjacency, graph, types)
res
}
is_bipartite_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_bipartite, graph)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$type) <- vertex_attr(graph, "name", V(graph))
}
res
}
bipartite_game_impl <- function(type, n1, n2, p=0.0, m=0, directed=FALSE, mode=c("all", "out", "in", "total")) {
# Argument checks
n1 <- as.numeric(n1)
n2 <- as.numeric(n2)
p <- as.numeric(p)
m <- as.numeric(m)
directed <- as.logical(directed)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_bipartite_game, type, n1, n2, p, m, directed, mode)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$types) <- vertex_attr(graph, "name", V(graph))
}
res
}
get_laplacian_impl <- function(graph, mode=c("out", "in", "all", "total"), normalization=c("unnormalized", "symmetric", "left", "right"), weights=NULL) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
normalization <- switch(igraph.match.arg(normalization), "unnormalized"=0L, "symmetric"=1L, "left"=2L, "right"=3L)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_laplacian, graph, mode, normalization, weights)
res
}
get_laplacian_sparse_impl <- function(graph, mode=c("out", "in", "all", "total"), normalization=c("unnormalized", "symmetric", "left", "right"), weights=NULL) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
normalization <- switch(igraph.match.arg(normalization), "unnormalized"=0L, "symmetric"=1L, "left"=2L, "right"=3L)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_laplacian_sparse, graph, mode, normalization, weights)
res
}
is_connected_impl <- function(graph, mode=c("weak", "strong")) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "weak"=1L, "strong"=2L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_connected, graph, mode)
res
}
articulation_points_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_articulation_points, graph)
if (igraph_opt("return.vs.es")) {
res <- create_vs(graph, res)
}
res
}
biconnected_components_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_biconnected_components, graph)
if (igraph_opt("return.vs.es")) {
res$tree.edges <- lapply(res$tree.edges, unsafe_create_es, graph = graph, es = E(graph))
}
if (igraph_opt("return.vs.es")) {
res$component.edges <- lapply(res$component.edges, unsafe_create_es, graph = graph, es = E(graph))
}
if (igraph_opt("return.vs.es")) {
res$components <- lapply(res$components, unsafe_create_vs, graph = graph, verts = V(graph))
}
if (igraph_opt("return.vs.es")) {
res$articulation.points <- create_vs(graph, res$articulation.points)
}
res
}
bridges_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_bridges, graph)
if (igraph_opt("return.vs.es")) {
res <- create_es(graph, res)
}
res
}
is_biconnected_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_biconnected, graph)
res
}
cliques_impl <- function(graph, min=0, max=0) {
# Argument checks
ensure_igraph(graph)
min <- as.numeric(min)
max <- as.numeric(max)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_cliques, graph, min, max)
if (igraph_opt("return.vs.es")) {
res <- lapply(res, unsafe_create_vs, graph = graph, verts = V(graph))
}
res
}
clique_size_hist_impl <- function(graph, min.size=0, max.size=0) {
# Argument checks
ensure_igraph(graph)
min.size <- as.numeric(min.size)
max.size <- as.numeric(max.size)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_clique_size_hist, graph, min.size, max.size)
res
}
largest_cliques_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_largest_cliques, graph)
if (igraph_opt("return.vs.es")) {
res <- lapply(res, unsafe_create_vs, graph = graph, verts = V(graph))
}
res
}
maximal_cliques_hist_impl <- function(graph, min.size=0, max.size=0) {
# Argument checks
ensure_igraph(graph)
min.size <- as.numeric(min.size)
max.size <- as.numeric(max.size)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_maximal_cliques_hist, graph, min.size, max.size)
res
}
clique_number_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_clique_number, graph)
res
}
weighted_cliques_impl <- function(graph, vertex.weights=NULL, min.weight=0, max.weight=0, maximal=FALSE) {
# Argument checks
ensure_igraph(graph)
if (is.null(vertex.weights) && "weight" %in% vertex_attr_names(graph)) {
vertex.weights <- V(graph)$weight
}
if (!is.null(vertex.weights) && any(!is.na(vertex.weights))) {
vertex.weights <- as.numeric(vertex.weights)
} else {
vertex.weights <- NULL
}
min.weight <- as.numeric(min.weight)
max.weight <- as.numeric(max.weight)
maximal <- as.logical(maximal)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_weighted_cliques, graph, vertex.weights, min.weight, max.weight, maximal)
if (igraph_opt("return.vs.es")) {
res <- lapply(res, unsafe_create_vs, graph = graph, verts = V(graph))
}
res
}
largest_weighted_cliques_impl <- function(graph, vertex.weights=NULL) {
# Argument checks
ensure_igraph(graph)
if (is.null(vertex.weights) && "weight" %in% vertex_attr_names(graph)) {
vertex.weights <- V(graph)$weight
}
if (!is.null(vertex.weights) && any(!is.na(vertex.weights))) {
vertex.weights <- as.numeric(vertex.weights)
} else {
vertex.weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_largest_weighted_cliques, graph, vertex.weights)
if (igraph_opt("return.vs.es")) {
res <- lapply(res, unsafe_create_vs, graph = graph, verts = V(graph))
}
res
}
weighted_clique_number_impl <- function(graph, vertex.weights=NULL) {
# Argument checks
ensure_igraph(graph)
if (is.null(vertex.weights) && "weight" %in% vertex_attr_names(graph)) {
vertex.weights <- V(graph)$weight
}
if (!is.null(vertex.weights) && any(!is.na(vertex.weights))) {
vertex.weights <- as.numeric(vertex.weights)
} else {
vertex.weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_weighted_clique_number, graph, vertex.weights)
res
}
roots_for_tree_layout_impl <- function(graph, mode=c("out", "in", "all", "total"), heuristic) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_roots_for_tree_layout, graph, mode, heuristic)
if (igraph_opt("return.vs.es")) {
res <- create_vs(graph, res)
}
res
}
layout_umap_impl <- function(graph, res, use.seed=FALSE, distances=NULL, min.dist=0.0, epochs=200, distances.are.weights=FALSE) {
# Argument checks
ensure_igraph(graph)
res[] <- as.numeric(res)
use.seed <- as.logical(use.seed)
if (!is.null(distances)) distances <- as.numeric(distances)
min.dist <- as.numeric(min.dist)
epochs <- as.numeric(epochs)
distances.are.weights <- as.logical(distances.are.weights)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_layout_umap, graph, res, use.seed, distances, min.dist, epochs, distances.are.weights)
res
}
layout_umap_3d_impl <- function(graph, res, use.seed=FALSE, distances=NULL, min.dist=0.0, epochs=200, distances.are.weights=FALSE) {
# Argument checks
ensure_igraph(graph)
res[] <- as.numeric(res)
use.seed <- as.logical(use.seed)
if (!is.null(distances)) distances <- as.numeric(distances)
min.dist <- as.numeric(min.dist)
epochs <- as.numeric(epochs)
distances.are.weights <- as.logical(distances.are.weights)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_layout_umap_3d, graph, res, use.seed, distances, min.dist, epochs, distances.are.weights)
res
}
layout_umap_compute_weights_impl <- function(graph, distances, weights) {
# Argument checks
ensure_igraph(graph)
distances <- as.numeric(distances)
weights <- as.numeric(weights)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_layout_umap_compute_weights, graph, distances, weights)
res
}
similarity_dice_impl <- function(graph, vids=V(graph), mode=c("all", "out", "in", "total"), loops=FALSE) {
# Argument checks
ensure_igraph(graph)
vids <- as_igraph_vs(graph, vids)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
loops <- as.logical(loops)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_similarity_dice, graph, vids-1, mode, loops)
res
}
similarity_dice_es_impl <- function(graph, es=E(graph), mode=c("all", "out", "in", "total"), loops=FALSE) {
# Argument checks
ensure_igraph(graph)
es <- as_igraph_es(graph, es)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
loops <- as.logical(loops)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_similarity_dice_es, graph, es-1, mode, loops)
res
}
similarity_dice_pairs_impl <- function(graph, pairs, mode=c("all", "out", "in", "total"), loops=FALSE) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
loops <- as.logical(loops)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_similarity_dice_pairs, graph, pairs, mode, loops)
res
}
similarity_inverse_log_weighted_impl <- function(graph, vids=V(graph), mode=c("all", "out", "in", "total")) {
# Argument checks
ensure_igraph(graph)
vids <- as_igraph_vs(graph, vids)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_similarity_inverse_log_weighted, graph, vids-1, mode)
res
}
similarity_jaccard_impl <- function(graph, vids=V(graph), mode=c("all", "out", "in", "total"), loops=FALSE) {
# Argument checks
ensure_igraph(graph)
vids <- as_igraph_vs(graph, vids)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
loops <- as.logical(loops)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_similarity_jaccard, graph, vids-1, mode, loops)
res
}
similarity_jaccard_es_impl <- function(graph, es=E(graph), mode=c("all", "out", "in", "total"), loops=FALSE) {
# Argument checks
ensure_igraph(graph)
es <- as_igraph_es(graph, es)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
loops <- as.logical(loops)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_similarity_jaccard_es, graph, es-1, mode, loops)
res
}
similarity_jaccard_pairs_impl <- function(graph, pairs, mode=c("all", "out", "in", "total"), loops=FALSE) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
loops <- as.logical(loops)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_similarity_jaccard_pairs, graph, pairs, mode, loops)
res
}
graphlets_impl <- function(graph, weights=NULL, niter=1000) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
niter <- as.numeric(niter)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_graphlets, graph, weights, niter)
if (igraph_opt("return.vs.es")) {
res$cliques <- lapply(res$cliques, unsafe_create_vs, graph = graph, verts = V(graph))
}
res
}
hrg_sample_impl <- function(hrg) {
# Argument checks
if (is.null(hrg)) {
hrg <- list(left=c(), right=c(), prob=c(), edges=c(), vertices=c())
}
hrg <- lapply(hrg[c("left","right","prob","edges","vertices")], as.numeric)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hrg_sample, hrg)
res
}
hrg_sample_many_impl <- function(hrg, num.samples) {
# Argument checks
if (is.null(hrg)) {
hrg <- list(left=c(), right=c(), prob=c(), edges=c(), vertices=c())
}
hrg <- lapply(hrg[c("left","right","prob","edges","vertices")], as.numeric)
num.samples <- as.numeric(num.samples)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hrg_sample_many, hrg, num.samples)
res
}
hrg_game_impl <- function(hrg) {
# Argument checks
if (is.null(hrg)) {
hrg <- list(left=c(), right=c(), prob=c(), edges=c(), vertices=c())
}
hrg <- lapply(hrg[c("left","right","prob","edges","vertices")], as.numeric)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hrg_game, hrg)
if (igraph_opt("add.params")) {
res$name <- 'Hierarchical random graph model'
}
res
}
hrg_consensus_impl <- function(graph, hrg=NULL, start=FALSE, num.samples=10000) {
# Argument checks
ensure_igraph(graph)
if (is.null(hrg)) {
hrg <- list(left=c(), right=c(), prob=c(), edges=c(), vertices=c())
}
hrg <- lapply(hrg[c("left","right","prob","edges","vertices")], as.numeric)
start <- as.logical(start)
num.samples <- as.numeric(num.samples)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hrg_consensus, graph, hrg, start, num.samples)
res
}
hrg_create_impl <- function(graph, prob) {
# Argument checks
ensure_igraph(graph)
prob <- as.numeric(prob)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hrg_create, graph, prob)
class(res) <- "igraphHRG"
res
}
hrg_resize_impl <- function(hrg, newsize) {
# Argument checks
if (is.null(hrg)) {
hrg <- list(left=c(), right=c(), prob=c(), edges=c(), vertices=c())
}
hrg <- lapply(hrg[c("left","right","prob","edges","vertices")], as.numeric)
newsize <- as.numeric(newsize)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hrg_resize, hrg, newsize)
res
}
hrg_size_impl <- function(hrg) {
# Argument checks
if (is.null(hrg)) {
hrg <- list(left=c(), right=c(), prob=c(), edges=c(), vertices=c())
}
hrg <- lapply(hrg[c("left","right","prob","edges","vertices")], as.numeric)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_hrg_size, hrg)
res
}
from_hrg_dendrogram_impl <- function(hrg) {
# Argument checks
if (is.null(hrg)) {
hrg <- list(left=c(), right=c(), prob=c(), edges=c(), vertices=c())
}
hrg <- lapply(hrg[c("left","right","prob","edges","vertices")], as.numeric)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_from_hrg_dendrogram, hrg)
res
}
get_stochastic_sparse_impl <- function(graph, column.wise=FALSE, weights=NULL) {
# Argument checks
ensure_igraph(graph)
column.wise <- as.logical(column.wise)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_get_stochastic_sparse, graph, column.wise, weights)
res
}
to_directed_impl <- function(graph, mode=c("mutual", "arbitrary", "random", "acyclic")) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "arbitrary"=0L, "mutual"=1L, "random"=2L, "acyclic"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_to_directed, graph, mode)
res
}
dyad_census_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_dyad_census, graph)
res
}
triad_census_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_triad_census, graph)
res
}
adjacent_triangles_impl <- function(graph, vids=V(graph)) {
# Argument checks
ensure_igraph(graph)
vids <- as_igraph_vs(graph, vids)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_adjacent_triangles, graph, vids-1)
res
}
local_scan_subset_ecount_impl <- function(graph, weights=NULL, subsets) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_local_scan_subset_ecount, graph, weights, subsets)
res
}
list_triangles_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_list_triangles, graph)
if (igraph_opt("return.vs.es")) {
res <- create_vs(graph, res)
}
res
}
join_impl <- function(left, right) {
# Argument checks
ensure_igraph(left)
ensure_igraph(right)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_join, left, right)
res
}
induced_subgraph_map_impl <- function(graph, vids, impl) {
# Argument checks
ensure_igraph(graph)
vids <- as_igraph_vs(graph, vids)
impl <- switch(igraph.match.arg(impl), "auto"=0L, "copy_and_delete"=1L, "create_from_scratch"=2L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_induced_subgraph_map, graph, vids-1, impl)
res
}
gomory_hu_tree_impl <- function(graph, capacity=NULL) {
# Argument checks
ensure_igraph(graph)
if (is.null(capacity) && "capacity" %in% edge_attr_names(graph)) {
capacity <- E(graph)$capacity
}
if (!is.null(capacity) && any(!is.na(capacity))) {
capacity <- as.numeric(capacity)
} else {
capacity <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_gomory_hu_tree, graph, capacity)
res
}
maxflow_impl <- function(graph, source, target, capacity=NULL) {
# Argument checks
ensure_igraph(graph)
source <- as_igraph_vs(graph, source)
if (length(source) == 0) {
stop("No vertex was specified")
}
target <- as_igraph_vs(graph, target)
if (length(target) == 0) {
stop("No vertex was specified")
}
if (is.null(capacity) && "capacity" %in% edge_attr_names(graph)) {
capacity <- E(graph)$capacity
}
if (!is.null(capacity) && any(!is.na(capacity))) {
capacity <- as.numeric(capacity)
} else {
capacity <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_maxflow, graph, source-1, target-1, capacity)
if (igraph_opt("return.vs.es")) {
res$cut <- create_es(graph, res$cut)
}
if (igraph_opt("return.vs.es")) {
res$partition1 <- create_vs(graph, res$partition1)
}
if (igraph_opt("return.vs.es")) {
res$partition2 <- create_vs(graph, res$partition2)
}
res
}
residual_graph_impl <- function(graph, capacity, flow) {
# Argument checks
ensure_igraph(graph)
if (is.null(capacity) && "capacity" %in% edge_attr_names(graph)) {
capacity <- E(graph)$capacity
}
if (!is.null(capacity) && any(!is.na(capacity))) {
capacity <- as.numeric(capacity)
} else {
capacity <- NULL
}
flow <- as.numeric(flow)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_residual_graph, graph, capacity, flow)
res
}
reverse_residual_graph_impl <- function(graph, capacity, flow) {
# Argument checks
ensure_igraph(graph)
if (is.null(capacity) && "capacity" %in% edge_attr_names(graph)) {
capacity <- E(graph)$capacity
}
if (!is.null(capacity) && any(!is.na(capacity))) {
capacity <- as.numeric(capacity)
} else {
capacity <- NULL
}
flow <- as.numeric(flow)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_reverse_residual_graph, graph, capacity, flow)
res
}
dominator_tree_impl <- function(graph, root, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
root <- as_igraph_vs(graph, root)
if (length(root) == 0) {
stop("No vertex was specified")
}
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_dominator_tree, graph, root-1, mode)
if (igraph_opt("return.vs.es")) {
res$leftout <- create_vs(graph, res$leftout)
}
res
}
all_st_cuts_impl <- function(graph, source, target) {
# Argument checks
ensure_igraph(graph)
source <- as_igraph_vs(graph, source)
if (length(source) == 0) {
stop("No vertex was specified")
}
target <- as_igraph_vs(graph, target)
if (length(target) == 0) {
stop("No vertex was specified")
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_all_st_cuts, graph, source-1, target-1)
if (igraph_opt("return.vs.es")) {
res$cuts <- lapply(res$cuts, unsafe_create_es, graph = graph, es = E(graph))
}
if (igraph_opt("return.vs.es")) {
res$partition1s <- lapply(res$partition1s, unsafe_create_vs, graph = graph, verts = V(graph))
}
res
}
all_st_mincuts_impl <- function(graph, source, target, capacity=NULL) {
# Argument checks
ensure_igraph(graph)
source <- as_igraph_vs(graph, source)
if (length(source) == 0) {
stop("No vertex was specified")
}
target <- as_igraph_vs(graph, target)
if (length(target) == 0) {
stop("No vertex was specified")
}
if (is.null(capacity) && "capacity" %in% edge_attr_names(graph)) {
capacity <- E(graph)$capacity
}
if (!is.null(capacity) && any(!is.na(capacity))) {
capacity <- as.numeric(capacity)
} else {
capacity <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_all_st_mincuts, graph, source-1, target-1, capacity)
if (igraph_opt("return.vs.es")) {
res$cuts <- lapply(res$cuts, unsafe_create_es, graph = graph, es = E(graph))
}
if (igraph_opt("return.vs.es")) {
res$partition1s <- lapply(res$partition1s, unsafe_create_vs, graph = graph, verts = V(graph))
}
res
}
even_tarjan_reduction_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_even_tarjan_reduction, graph)
res
}
is_separator_impl <- function(graph, candidate) {
# Argument checks
ensure_igraph(graph)
candidate <- as_igraph_vs(graph, candidate)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_separator, graph, candidate-1)
res
}
is_minimal_separator_impl <- function(graph, candidate) {
# Argument checks
ensure_igraph(graph)
candidate <- as_igraph_vs(graph, candidate)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_minimal_separator, graph, candidate-1)
res
}
all_minimal_st_separators_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_all_minimal_st_separators, graph)
if (igraph_opt("return.vs.es")) {
res <- lapply(res, unsafe_create_vs, graph = graph, verts = V(graph))
}
res
}
minimum_size_separators_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_minimum_size_separators, graph)
if (igraph_opt("return.vs.es")) {
res <- lapply(res, unsafe_create_vs, graph = graph, verts = V(graph))
}
res
}
isoclass_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_isoclass, graph)
res
}
isomorphic_impl <- function(graph1, graph2) {
# Argument checks
ensure_igraph(graph1)
ensure_igraph(graph2)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_isomorphic, graph1, graph2)
res
}
isoclass_create_impl <- function(size, number, directed=TRUE) {
# Argument checks
size <- as.numeric(size)
number <- as.numeric(number)
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_isoclass_create, size, number, directed)
res
}
isomorphic_vf2_impl <- function(graph1, graph2, vertex.color1=NULL, vertex.color2=NULL, edge.color1=NULL, edge.color2=NULL) {
# Argument checks
ensure_igraph(graph1)
ensure_igraph(graph2)
if (missing(vertex.color1)) {
if ("color" %in% vertex_attr_names(graph1)) {
vertex.color1 <- V(graph1)$color
} else {
vertex.color1 <- NULL
}
}
if (!is.null(vertex.color1)) {
vertex.color1 <- as.numeric(vertex.color1)-1
}
if (missing(vertex.color2)) {
if ("color" %in% vertex_attr_names(graph2)) {
vertex.color2 <- V(graph2)$color
} else {
vertex.color2 <- NULL
}
}
if (!is.null(vertex.color2)) {
vertex.color2 <- as.numeric(vertex.color2)-1
}
if (missing(edge.color1)) {
if ("color" %in% edge_attr_names(graph1)) {
edge.color1 <- E(graph1)$color
} else {
edge.color1 <- NULL
}
}
if (!is.null(edge.color1)) {
edge.color1 <- as.numeric(edge.color1)-1
}
if (missing(edge.color2)) {
if ("color" %in% edge_attr_names(graph2)) {
edge.color2 <- E(graph2)$color
} else {
edge.color2 <- NULL
}
}
if (!is.null(edge.color2)) {
edge.color2 <- as.numeric(edge.color2)-1
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_isomorphic_vf2, graph1, graph2, vertex.color1, vertex.color2, edge.color1, edge.color2)
res
}
count_isomorphisms_vf2_impl <- function(graph1, graph2, vertex.color1, vertex.color2, edge.color1, edge.color2) {
# Argument checks
ensure_igraph(graph1)
ensure_igraph(graph2)
if (missing(vertex.color1)) {
if ("color" %in% vertex_attr_names(graph1)) {
vertex.color1 <- V(graph1)$color
} else {
vertex.color1 <- NULL
}
}
if (!is.null(vertex.color1)) {
vertex.color1 <- as.numeric(vertex.color1)-1
}
if (missing(vertex.color2)) {
if ("color" %in% vertex_attr_names(graph2)) {
vertex.color2 <- V(graph2)$color
} else {
vertex.color2 <- NULL
}
}
if (!is.null(vertex.color2)) {
vertex.color2 <- as.numeric(vertex.color2)-1
}
if (missing(edge.color1)) {
if ("color" %in% edge_attr_names(graph1)) {
edge.color1 <- E(graph1)$color
} else {
edge.color1 <- NULL
}
}
if (!is.null(edge.color1)) {
edge.color1 <- as.numeric(edge.color1)-1
}
if (missing(edge.color2)) {
if ("color" %in% edge_attr_names(graph2)) {
edge.color2 <- E(graph2)$color
} else {
edge.color2 <- NULL
}
}
if (!is.null(edge.color2)) {
edge.color2 <- as.numeric(edge.color2)-1
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_count_isomorphisms_vf2, graph1, graph2, vertex.color1, vertex.color2, edge.color1, edge.color2)
res
}
subisomorphic_impl <- function(graph1, graph2) {
# Argument checks
ensure_igraph(graph1)
ensure_igraph(graph2)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_subisomorphic, graph1, graph2)
res
}
subisomorphic_vf2_impl <- function(graph1, graph2, vertex.color1=NULL, vertex.color2=NULL, edge.color1=NULL, edge.color2=NULL) {
# Argument checks
ensure_igraph(graph1)
ensure_igraph(graph2)
if (missing(vertex.color1)) {
if ("color" %in% vertex_attr_names(graph1)) {
vertex.color1 <- V(graph1)$color
} else {
vertex.color1 <- NULL
}
}
if (!is.null(vertex.color1)) {
vertex.color1 <- as.numeric(vertex.color1)-1
}
if (missing(vertex.color2)) {
if ("color" %in% vertex_attr_names(graph2)) {
vertex.color2 <- V(graph2)$color
} else {
vertex.color2 <- NULL
}
}
if (!is.null(vertex.color2)) {
vertex.color2 <- as.numeric(vertex.color2)-1
}
if (missing(edge.color1)) {
if ("color" %in% edge_attr_names(graph1)) {
edge.color1 <- E(graph1)$color
} else {
edge.color1 <- NULL
}
}
if (!is.null(edge.color1)) {
edge.color1 <- as.numeric(edge.color1)-1
}
if (missing(edge.color2)) {
if ("color" %in% edge_attr_names(graph2)) {
edge.color2 <- E(graph2)$color
} else {
edge.color2 <- NULL
}
}
if (!is.null(edge.color2)) {
edge.color2 <- as.numeric(edge.color2)-1
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_subisomorphic_vf2, graph1, graph2, vertex.color1, vertex.color2, edge.color1, edge.color2)
res
}
count_subisomorphisms_vf2_impl <- function(graph1, graph2, vertex.color1, vertex.color2, edge.color1, edge.color2) {
# Argument checks
ensure_igraph(graph1)
ensure_igraph(graph2)
if (missing(vertex.color1)) {
if ("color" %in% vertex_attr_names(graph1)) {
vertex.color1 <- V(graph1)$color
} else {
vertex.color1 <- NULL
}
}
if (!is.null(vertex.color1)) {
vertex.color1 <- as.numeric(vertex.color1)-1
}
if (missing(vertex.color2)) {
if ("color" %in% vertex_attr_names(graph2)) {
vertex.color2 <- V(graph2)$color
} else {
vertex.color2 <- NULL
}
}
if (!is.null(vertex.color2)) {
vertex.color2 <- as.numeric(vertex.color2)-1
}
if (missing(edge.color1)) {
if ("color" %in% edge_attr_names(graph1)) {
edge.color1 <- E(graph1)$color
} else {
edge.color1 <- NULL
}
}
if (!is.null(edge.color1)) {
edge.color1 <- as.numeric(edge.color1)-1
}
if (missing(edge.color2)) {
if ("color" %in% edge_attr_names(graph2)) {
edge.color2 <- E(graph2)$color
} else {
edge.color2 <- NULL
}
}
if (!is.null(edge.color2)) {
edge.color2 <- as.numeric(edge.color2)-1
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_count_subisomorphisms_vf2, graph1, graph2, vertex.color1, vertex.color2, edge.color1, edge.color2)
res
}
canonical_permutation_impl <- function(graph, colors=NULL, sh=c("fm", "f", "fs", "fl", "flm", "fsm")) {
# Argument checks
ensure_igraph(graph)
if (missing(colors)) {
if ("color" %in% vertex_attr_names(graph)) {
colors <- V(graph)$color
} else {
colors <- NULL
}
}
if (!is.null(colors)) {
colors <- as.numeric(colors)-1
}
sh <- switch(igraph.match.arg(sh), "f"=0L, "fl"=1L, "fs"=2L, "fm"=3L, "flm"=4L, "fsm"=5L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_canonical_permutation, graph, colors, sh)
res
}
permute_vertices_impl <- function(graph, permutation) {
# Argument checks
ensure_igraph(graph)
permutation <- as.numeric(permutation)-1
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_permute_vertices, graph, permutation)
res
}
isomorphic_bliss_impl <- function(graph1, graph2, colors1=NULL, colors2=NULL, sh=c("fm", "f", "fs", "fl", "flm", "fsm")) {
# Argument checks
ensure_igraph(graph1)
ensure_igraph(graph2)
if (missing(colors1)) {
if ("color" %in% vertex_attr_names(graph1)) {
colors1 <- V(graph1)$color
} else {
colors1 <- NULL
}
}
if (!is.null(colors1)) {
colors1 <- as.numeric(colors1)-1
}
if (missing(colors2)) {
if ("color" %in% vertex_attr_names(graph2)) {
colors2 <- V(graph2)$color
} else {
colors2 <- NULL
}
}
if (!is.null(colors2)) {
colors2 <- as.numeric(colors2)-1
}
sh <- switch(igraph.match.arg(sh), "f"=0L, "fl"=1L, "fs"=2L, "fm"=3L, "flm"=4L, "fsm"=5L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_isomorphic_bliss, graph1, graph2, colors1, colors2, sh)
res
}
count_automorphisms_impl <- function(graph, colors=NULL, sh=c("fm", "f", "fs", "fl", "flm", "fsm")) {
# Argument checks
ensure_igraph(graph)
if (missing(colors)) {
if ("color" %in% vertex_attr_names(graph)) {
colors <- V(graph)$color
} else {
colors <- NULL
}
}
if (!is.null(colors)) {
colors <- as.numeric(colors)-1
}
sh <- switch(igraph.match.arg(sh), "f"=0L, "fl"=1L, "fs"=2L, "fm"=3L, "flm"=4L, "fsm"=5L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_count_automorphisms, graph, colors, sh)
res
}
automorphism_group_impl <- function(graph, colors=NULL, sh=c("fm", "f", "fs", "fl", "flm", "fsm"), details=FALSE) {
# Argument checks
ensure_igraph(graph)
if (missing(colors)) {
if ("color" %in% vertex_attr_names(graph)) {
colors <- V(graph)$color
} else {
colors <- NULL
}
}
if (!is.null(colors)) {
colors <- as.numeric(colors)-1
}
sh <- switch(igraph.match.arg(sh), "f"=0L, "fl"=1L, "fs"=2L, "fm"=3L, "flm"=4L, "fsm"=5L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_automorphism_group, graph, colors, sh)
if (igraph_opt("return.vs.es")) {
res$generators <- lapply(res$generators, unsafe_create_vs, graph = graph, verts = V(graph))
}
if (!details) {
res <- res$generators
}
res
}
graph_count_impl <- function(n, directed=FALSE) {
# Argument checks
n <- as.numeric(n)
directed <- as.logical(directed)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_graph_count, n, directed)
res
}
adjacency_spectral_embedding_impl <- function(graph, no, weights=NULL, which=c("lm", "la", "sa"), scaled=TRUE, cvec=strength(graph, weights=weights)/(vcount(graph)-1), options=arpack_defaults()) {
# Argument checks
ensure_igraph(graph)
no <- as.numeric(no)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
which <- switch(igraph.match.arg(which), "lm"=0L, "la"=2L, "sa"=3L)
scaled <- as.logical(scaled)
cvec <- as.numeric(cvec)
options <- modify_list(arpack_defaults(), options)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_adjacency_spectral_embedding, graph, no, weights, which, scaled, cvec, options)
res
}
laplacian_spectral_embedding_impl <- function(graph, no, weights=NULL, which=c("lm", "la", "sa"), type=c("default", "D-A", "DAD", "I-DAD", "OAP"), scaled=TRUE, options=arpack_defaults()) {
# Argument checks
ensure_igraph(graph)
no <- as.numeric(no)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
which <- switch(igraph.match.arg(which), "lm"=0L, "la"=2L, "sa"=3L)
type <- switch(igraph.match.arg(type),
"default"=if (is.directed(graph)) 3L else 0L,
"da"=0L, "d-a"=0L, "idad"=1L, "i-dad"=1L, "dad"=2L,
"oap"=3L)
scaled <- as.logical(scaled)
options <- modify_list(arpack_defaults(), options)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_laplacian_spectral_embedding, graph, no, weights, which, type, scaled, options)
res
}
eigen_adjacency_impl <- function(graph, algorithm=c("arpack", "auto", "lapack", "comp_auto", "comp_lapack", "comp_arpack"), which=list(), options=arpack_defaults()) {
# Argument checks
ensure_igraph(graph)
algorithm <- switch(igraph.match.arg(algorithm), "auto"=0L, "lapack"=1L,
"arpack"=2L, "comp_auto"=3L, "comp_lapack"=4L,
"comp_arpack"=5L)
which.tmp <- eigen_defaults();
which.tmp[ names(which) ] <- which ; which <- which.tmp
options <- modify_list(arpack_defaults(), options)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_eigen_adjacency, graph, algorithm, which, options)
res
}
sir_impl <- function(graph, beta, gamma, no.sim=100) {
# Argument checks
ensure_igraph(graph)
beta <- as.numeric(beta)
gamma <- as.numeric(gamma)
no.sim <- as.numeric(no.sim)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_sir, graph, beta, gamma, no.sim)
class(res) <- "sir"
res
}
convex_hull_impl <- function(data) {
# Argument checks
data[] <- as.numeric(data)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_convex_hull, data)
res
}
dim_select_impl <- function(sv) {
# Argument checks
sv <- as.numeric(sv)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_dim_select, sv)
res
}
solve_lsap_impl <- function(c, n) {
# Argument checks
c[] <- as.numeric(c)
n <- as.numeric(n)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_solve_lsap, c, n)
res
}
is_eulerian_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_eulerian, graph)
res
}
eulerian_path_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_eulerian_path, graph)
if (igraph_opt("return.vs.es")) {
res$epath <- create_es(graph, res$epath)
}
if (igraph_opt("return.vs.es")) {
res$vpath <- create_vs(graph, res$vpath)
}
res
}
eulerian_cycle_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_eulerian_cycle, graph)
if (igraph_opt("return.vs.es")) {
res$epath <- create_es(graph, res$epath)
}
if (igraph_opt("return.vs.es")) {
res$vpath <- create_vs(graph, res$vpath)
}
res
}
fundamental_cycles_impl <- function(graph, start=NULL, bfs.cutoff, weights=NULL) {
# Argument checks
ensure_igraph(graph)
if (!is.null(start)) start <- as_igraph_vs(graph, start)
if (length(start) == 0) {
stop("No vertex was specified")
}
bfs.cutoff <- as.numeric(bfs.cutoff)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_fundamental_cycles, graph, start-1, bfs.cutoff, weights)
if (igraph_opt("return.vs.es")) {
res <- lapply(res, unsafe_create_es, graph = graph, es = E(graph))
}
res
}
minimum_cycle_basis_impl <- function(graph, bfs.cutoff, complete, use.cycle.order, weights=NULL) {
# Argument checks
ensure_igraph(graph)
bfs.cutoff <- as.numeric(bfs.cutoff)
complete <- as.logical(complete)
use.cycle.order <- as.logical(use.cycle.order)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_minimum_cycle_basis, graph, bfs.cutoff, complete, use.cycle.order, weights)
if (igraph_opt("return.vs.es")) {
res <- lapply(res, unsafe_create_es, graph = graph, es = E(graph))
}
res
}
is_tree_impl <- function(graph, mode=c("out", "in", "all", "total"), details=FALSE) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_tree, graph, mode)
if (igraph_opt("return.vs.es") && vcount(graph) != 0) {
res$root <- create_vs(graph, res$root)
}
if (!details) {
res <- res$res
}
res
}
is_forest_impl <- function(graph, mode=c("out", "in", "all", "total"), details=FALSE) {
# Argument checks
ensure_igraph(graph)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_forest, graph, mode)
if (igraph_opt("return.vs.es")) {
res$roots <- create_vs(graph, res$roots)
}
if (!details) {
res <- res$res
}
res
}
from_prufer_impl <- function(prufer) {
# Argument checks
prufer <- as.numeric(prufer)-1
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_from_prufer, prufer)
if (igraph_opt("add.params")) {
res$name <- 'Tree from Prufer sequence'
res$prufer <- prufer
}
res
}
to_prufer_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_to_prufer, graph)
res
}
tree_from_parent_vector_impl <- function(parents, type=c("out", "in", "undirected")) {
# Argument checks
parents <- as.numeric(parents)-1
type <- switch(igraph.match.arg(type), "out"=0L, "in"=1L, "undirected"=2L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_tree_from_parent_vector, parents, type)
res
}
is_complete_impl <- function(graph) {
# Argument checks
ensure_igraph(graph)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_is_complete, graph)
res
}
random_spanning_tree_impl <- function(graph, vid=0) {
# Argument checks
ensure_igraph(graph)
if (!is.null(vid)) vid <- as_igraph_vs(graph, vid)
if (length(vid) == 0) {
stop("No vertex was specified")
}
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_random_spanning_tree, graph, vid-1)
if (igraph_opt("return.vs.es")) {
res <- create_es(graph, res)
}
res
}
tree_game_impl <- function(n, directed=FALSE, method=c("lerw", "prufer")) {
# Argument checks
n <- as.numeric(n)
directed <- as.logical(directed)
method <- switch(igraph.match.arg(method), "prufer"=0L, "lerw"=1L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_tree_game, n, directed, method)
res
}
vertex_coloring_greedy_impl <- function(graph, heuristic=c("colored_neighbors", "dsatur")) {
# Argument checks
ensure_igraph(graph)
heuristic <- switch(igraph.match.arg(heuristic), "colored_neighbors"=0L, "dsatur"=1L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_vertex_coloring_greedy, graph, heuristic)
res <- res+1
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res) <- vertex_attr(graph, "name")
}
res
}
deterministic_optimal_imitation_impl <- function(graph, vid, optimality=c("maximum", "minimum"), quantities, strategies, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
vid <- as_igraph_vs(graph, vid)
if (length(vid) == 0) {
stop("No vertex was specified")
}
optimality <- switch(igraph.match.arg(optimality), "minimum"=0L, "maximum"=1L)
strategies <- as.numeric(strategies)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_deterministic_optimal_imitation, graph, vid-1, optimality, quantities, strategies, mode)
res
}
moran_process_impl <- function(graph, weights=NULL, quantities, strategies, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
if (is.null(weights) && "weight" %in% edge_attr_names(graph)) {
weights <- E(graph)$weight
}
if (!is.null(weights) && any(!is.na(weights))) {
weights <- as.numeric(weights)
} else {
weights <- NULL
}
strategies <- as.numeric(strategies)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_moran_process, graph, weights, quantities, strategies, mode)
if (igraph_opt("add.vertex.names") && is_named(graph)) {
names(res$quantities) <- vertex_attr(graph, "name", V(graph))
}
res
}
roulette_wheel_imitation_impl <- function(graph, vid, is.local, quantities, strategies, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
vid <- as_igraph_vs(graph, vid)
if (length(vid) == 0) {
stop("No vertex was specified")
}
is.local <- as.logical(is.local)
strategies <- as.numeric(strategies)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_roulette_wheel_imitation, graph, vid-1, is.local, quantities, strategies, mode)
res
}
stochastic_imitation_impl <- function(graph, vid, algo, quantities, strategies, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
vid <- as_igraph_vs(graph, vid)
if (length(vid) == 0) {
stop("No vertex was specified")
}
strategies <- as.numeric(strategies)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_stochastic_imitation, graph, vid-1, algo, quantities, strategies, mode)
res
}
vertex_path_from_edge_path_impl <- function(graph, start, edge.path, mode=c("out", "in", "all", "total")) {
# Argument checks
ensure_igraph(graph)
start <- as_igraph_vs(graph, start)
if (length(start) == 0) {
stop("No vertex was specified")
}
edge.path <- as_igraph_es(graph, edge.path)
mode <- switch(igraph.match.arg(mode), "out"=1L, "in"=2L, "all"=3L, "total"=3L)
on.exit( .Call(R_igraph_finalizer) )
# Function call
res <- .Call(R_igraph_vertex_path_from_edge_path, graph, start-1, edge.path-1, mode)
if (igraph_opt("return.vs.es")) {
res <- create_vs(graph, res)
}
res
}
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