Nothing
context("Adding nodes and/or edges from a table to a graph")
test_that("adding nodes from a table to a graph is possible", {
# Create a data frame for graph nodes
node_table <-
dplyr::tribble(
~iso_4217_code, ~curr_number, ~exponent,
"AED", 784, 2,
"AFN", 971, 2,
"ALL", 8, 2,
"AMD", 51, 2,
"ANG", 532, 2,
"AOA", 973, 2,
"ARS", 32, 2,
"AUD", 36, 2,
"AWG", 533, 2,
"AZN", 944, 2,
"BAM", 977, 2,
"BBD", 52, 2,
"BDT", 50, 2,
"BGN", 975, 2,
"BHD", 48, 3,
"BIF", 108, 0,
"BMD", 60, 2,
"BND", 96, 2,
"BOB", 68, 2,
"BOV", 984, 2,
"BRL", 986, 2,
"BSD", 44, 2,
"BTN", 64, 2,
"BWP", 72, 2,
"BYR", 974, 0,
"BZD", 84, 2,
"CAD", 124, 2,
"CDF", 976, 2,
"CHE", 947, 2,
"CHF", 756, 2,
"CHW", 948, 2,
"CLF", 990, 4,
"CLP", 152, 0,
"CNY", 156, 2,
"COP", 170, 2,
"COU", 970, 2,
"CRC", 188, 2,
"CUC", 931, 2,
"CUP", 192, 2,
"CVE", 132, 0,
"CZK", 203, 2,
"DJF", 262, 0,
"DKK", 208, 2,
"DOP", 214, 2,
"DZD", 12, 2,
"EGP", 818, 2,
"ERN", 232, 2,
"ETB", 230, 2,
"EUR", 978, 2,
"FJD", 242, 2,
"FKP", 238, 2,
"GBP", 826, 2,
"GEL", 981, 2,
"GHS", 936, 2,
"GIP", 292, 2,
"GMD", 270, 2,
"GNF", 324, 0,
"GTQ", 320, 2,
"GYD", 328, 2,
"HKD", 344, 2,
"HNL", 340, 2,
"HRK", 191, 2,
"HTG", 332, 2,
"HUF", 348, 2,
"IDR", 360, 2,
"ILS", 376, 2,
"INR", 356, 2,
"IQD", 368, 3,
"IRR", 364, 2,
"ISK", 352, 0,
"JMD", 388, 2,
"JOD", 400, 3,
"JPY", 392, 0,
"KES", 404, 2,
"KGS", 417, 2,
"KHR", 116, 2,
"KMF", 174, 0,
"KPW", 408, 2,
"KRW", 410, 0,
"KWD", 414, 3,
"KYD", 136, 2,
"KZT", 398, 2,
"LAK", 418, 2,
"LBP", 422, 2,
"LKR", 144, 2,
"LRD", 430, 2,
"LSL", 426, 2,
"LYD", 434, 3,
"MAD", 504, 2,
"MDL", 498, 2,
"MGA", 969, 1,
"MKD", 807, 2,
"MMK", 104, 2,
"MNT", 496, 2,
"MOP", 446, 1,
"MRO", 478, 1,
"MUR", 480, 2,
"MVR", 462, 2,
"MWK", 454, 2,
"MXN", 484, 2,
"MXV", 979, 2,
"MYR", 458, 2,
"MZN", 943, 2,
"NAD", 516, 2,
"NGN", 566, 2,
"NIO", 558, 2,
"NOK", 578, 2,
"NPR", 524, 2,
"NZD", 554, 2,
"OMR", 512, 3,
"PAB", 590, 2,
"PEN", 604, 2,
"PGK", 598, 2,
"PHP", 608, 2,
"PKR", 586, 2,
"PLN", 985, 2,
"PYG", 600, 0,
"QAR", 634, 2,
"RON", 946, 2,
"RSD", 941, 2,
"RUB", 643, 2,
"RWF", 646, 0,
"SAR", 682, 2,
"SBD", 90, 2,
"SCR", 690, 2,
"SDG", 938, 2,
"SEK", 752, 2,
"SGD", 702, 2,
"SHP", 654, 2,
"SLL", 694, 2,
"SOS", 706, 2,
"SRD", 968, 2,
"SSP", 728, 2,
"STD", 678, 2,
"SYP", 760, 2,
"SZL", 748, 2,
"THB", 764, 2,
"TJS", 972, 2,
"TMT", 934, 2,
"TND", 788, 3,
"TOP", 776, 2,
"TRY", 949, 2,
"TTD", 780, 2,
"TWD", 901, 2,
"TZS", 834, 2,
"UAH", 980, 2,
"UGX", 800, 0,
"USD", 840, 2,
"USN", 997, 2,
"USS", 998, 2,
"UYI", 940, 0,
"UYU", 858, 2,
"UZS", 860, 2,
"VEF", 937, 2,
"VND", 704, 0,
"VUV", 548, 0,
"WST", 882, 2,
"XAF", 950, 0,
"XAG", 961, NA,
"XAU", 959, NA,
"XCD", 951, 2,
"XDR", 960, NA,
"XOF", 952, 0,
"XPD", 964, NA,
"XPF", 953, 0,
"XPT", 962, NA,
"XSU", 994, NA,
"XUA", 965, NA,
"YER", 886, 2,
"ZAR", 710, 2,
"ZMW", 967, 2)
# Convert to a data frame
node_table <-
as.data.frame(node_table, stringsAsFactors = FALSE)
# Add nodes directly from the df, calling the
# `add_nodes_from_table()` function with default
# options
graph_1_df <-
create_graph() %>%
add_nodes_from_table(table = node_table)
# Expect that the graph has the same number of nodes
# as there are rows in the CSV
expect_equal(
nrow(node_table), count_nodes(graph = graph_1_df))
# Expect certain columns to exist in the graph's
# node data frame
expect_equal(
colnames(graph_1_df$nodes_df),
c("id", "type", "label", "iso_4217_code",
"curr_number", "exponent"))
# Add nodes from the df, but this time apply the
# `curr_number` column to the graph's `label` attribute
graph_2_df <-
create_graph() %>%
add_nodes_from_table(
table = node_table,
label_col = curr_number)
# Expect that there aren't any NA values in the
# graph's `label` column
expect_true(
all(!is.na(graph_2_df$nodes_df[, 3])))
# Expect that the values in the `label` are
# of the character class
expect_true(
is.character(graph_2_df$nodes_df[, 3]))
# Add nodes from the df; also apply a static value
# for `type` as `currency`
graph_3_df <-
create_graph() %>%
add_nodes_from_table(
table = node_table,
set_type = "currency",
label_col = curr_number)
# Expect that all values set for the `type`
# attribute are `currency`
expect_true(
all(graph_3_df$nodes_df[, 2] == "currency"))
# Add nodes from the df; drop some of the
# incoming columns
graph_4_df <-
create_graph() %>%
add_nodes_from_table(
table = node_table,
set_type = "currency",
label_col = curr_number,
drop_cols = exponent & currency_name)
# Expect that the node attributes `exponent`
# and `currency_name` do not appear in the graph's
# internal node data frame
expect_true(
!all(c("exponent", "currency_name") %in%
colnames(graph_4_df$nodes_df)))
# Add nodes from the df; assign a table column
# to the `type` atttribute
graph_5_df <-
create_graph() %>%
add_nodes_from_table(
table = node_table,
set_type = "currency",
label_col = curr_number,
type_col = exponent)
# Expect that all values set for the `type`
# attribute are have certain values (including NA)
expect_true(
all(graph_5_df$nodes_df[, 2] %in%
c("0", "1", "2", "3", "4", NA)))
})
test_that("adding edges from a table to a graph is possible", {
# Create a data frame for graph nodes
node_table <-
dplyr::tribble(
~iso_4217_code, ~curr_number, ~exponent,
"AED", 784, 2,
"AFN", 971, 2,
"ALL", 8, 2,
"AMD", 51, 2,
"ANG", 532, 2,
"AOA", 973, 2,
"ARS", 32, 2,
"AUD", 36, 2,
"AWG", 533, 2,
"AZN", 944, 2,
"BAM", 977, 2,
"BBD", 52, 2,
"BDT", 50, 2,
"BGN", 975, 2,
"BHD", 48, 3,
"BIF", 108, 0,
"BMD", 60, 2,
"BND", 96, 2,
"BOB", 68, 2,
"BOV", 984, 2,
"BRL", 986, 2,
"BSD", 44, 2,
"BTN", 64, 2,
"BWP", 72, 2,
"BYR", 974, 0,
"BZD", 84, 2,
"CAD", 124, 2,
"CDF", 976, 2,
"CHE", 947, 2,
"CHF", 756, 2,
"CHW", 948, 2,
"CLF", 990, 4,
"CLP", 152, 0,
"CNY", 156, 2,
"COP", 170, 2,
"COU", 970, 2,
"CRC", 188, 2,
"CUC", 931, 2,
"CUP", 192, 2,
"CVE", 132, 0,
"CZK", 203, 2,
"DJF", 262, 0,
"DKK", 208, 2,
"DOP", 214, 2,
"DZD", 12, 2,
"EGP", 818, 2,
"ERN", 232, 2,
"ETB", 230, 2,
"EUR", 978, 2,
"FJD", 242, 2,
"FKP", 238, 2,
"GBP", 826, 2,
"GEL", 981, 2,
"GHS", 936, 2,
"GIP", 292, 2,
"GMD", 270, 2,
"GNF", 324, 0,
"GTQ", 320, 2,
"GYD", 328, 2,
"HKD", 344, 2,
"HNL", 340, 2,
"HRK", 191, 2,
"HTG", 332, 2,
"HUF", 348, 2,
"IDR", 360, 2,
"ILS", 376, 2,
"INR", 356, 2,
"IQD", 368, 3,
"IRR", 364, 2,
"ISK", 352, 0,
"JMD", 388, 2,
"JOD", 400, 3,
"JPY", 392, 0,
"KES", 404, 2,
"KGS", 417, 2,
"KHR", 116, 2,
"KMF", 174, 0,
"KPW", 408, 2,
"KRW", 410, 0,
"KWD", 414, 3,
"KYD", 136, 2,
"KZT", 398, 2,
"LAK", 418, 2,
"LBP", 422, 2,
"LKR", 144, 2,
"LRD", 430, 2,
"LSL", 426, 2,
"LYD", 434, 3,
"MAD", 504, 2,
"MDL", 498, 2,
"MGA", 969, 1,
"MKD", 807, 2,
"MMK", 104, 2,
"MNT", 496, 2,
"MOP", 446, 1,
"MRO", 478, 1,
"MUR", 480, 2,
"MVR", 462, 2,
"MWK", 454, 2,
"MXN", 484, 2,
"MXV", 979, 2,
"MYR", 458, 2,
"MZN", 943, 2,
"NAD", 516, 2,
"NGN", 566, 2,
"NIO", 558, 2,
"NOK", 578, 2,
"NPR", 524, 2,
"NZD", 554, 2,
"OMR", 512, 3,
"PAB", 590, 2,
"PEN", 604, 2,
"PGK", 598, 2,
"PHP", 608, 2,
"PKR", 586, 2,
"PLN", 985, 2,
"PYG", 600, 0,
"QAR", 634, 2,
"RON", 946, 2,
"RSD", 941, 2,
"RUB", 643, 2,
"RWF", 646, 0,
"SAR", 682, 2,
"SBD", 90, 2,
"SCR", 690, 2,
"SDG", 938, 2,
"SEK", 752, 2,
"SGD", 702, 2,
"SHP", 654, 2,
"SLL", 694, 2,
"SOS", 706, 2,
"SRD", 968, 2,
"SSP", 728, 2,
"STD", 678, 2,
"SYP", 760, 2,
"SZL", 748, 2,
"THB", 764, 2,
"TJS", 972, 2,
"TMT", 934, 2,
"TND", 788, 3,
"TOP", 776, 2,
"TRY", 949, 2,
"TTD", 780, 2,
"TWD", 901, 2,
"TZS", 834, 2,
"UAH", 980, 2,
"UGX", 800, 0,
"USD", 840, 2,
"USN", 997, 2,
"USS", 998, 2,
"UYI", 940, 0,
"UYU", 858, 2,
"UZS", 860, 2,
"VEF", 937, 2,
"VND", 704, 0,
"VUV", 548, 0,
"WST", 882, 2,
"XAF", 950, 0,
"XAG", 961, NA,
"XAU", 959, NA,
"XCD", 951, 2,
"XDR", 960, NA,
"XOF", 952, 0,
"XPD", 964, NA,
"XPF", 953, 0,
"XPT", 962, NA,
"XSU", 994, NA,
"XUA", 965, NA,
"YER", 886, 2,
"ZAR", 710, 2,
"ZMW", 967, 2)
# Convert to a data frame
node_table <-
as.data.frame(node_table, stringsAsFactors = FALSE)
# Create a data frame for graph edges
edge_table <-
dplyr::tribble(
~from_currency, ~to_currency, ~cost_unit,
"USD","ADF", 0.1672,
"USD","ADP", 0.00659,
"USD","AED", 0.2723,
"USD","AFN", 0.01521,
"USD","ALL", 0.008055,
"USD","AMD", 0.002107,
"USD","ANG", 0.565,
"USD","AOA", 0.006058,
"USD","AON", 0.006058,
"USD","ARS", 0.06597,
"USD","ATS", 0.07969,
"USD","AUD", 0.7604,
"USD","AWG", 0.5587,
"USD","AZM", 0.0001221,
"USD","AZN", 0.6105,
"USD","BAM", 0.5607,
"USD","BBD", 0.5,
"USD","BDT", 0.01277,
"USD","BEF", 0.02718,
"USD","BGN", 0.5635,
"USD","BHD", 2.6699,
"USD","BIF", 0.000601,
"USD","BMD", 1,
"USD","BND", 0.7184,
"USD","BOB", 0.1456,
"USD","BRL", 0.3127,
"USD","BSD", 1,
"USD","BTN", 0.01496,
"USD","BWP", 0.097,
"USD","BYR", 4.995e-05,
"USD","BZD", 0.5051,
"USD","CAD", 0.7461,
"USD","CDF", 0.0009891,
"USD","CHF", 1.0116,
"USD","CLP", 0.001533,
"USD","CNY", 0.1476,
"USD","COP", 0.0003334,
"USD","CRC", 0.001827,
"USD","CUC", 1,
"USD","CUP", 0.045,
"USD","CVE", 0.00995,
"USD","CYP", 1.8735,
"USD","CZK", 0.04061,
"USD","DEM", 0.5606,
"USD","DJF", 0.005654,
"USD","DKK", 0.1474,
"USD","DOP", 0.02173,
"USD","DZD", 0.00912,
"USD","ECS", 4.15e-05,
"USD","EEK", 0.07008,
"USD","EGP", 0.1129,
"USD","ESP", 0.00659,
"USD","ETB", 0.04515,
"USD","EUR", 1.0965,
"USD","FIM", 0.1844,
"USD","FJD", 0.4929,
"USD","FKP", 1.2236,
"USD","FRF", 0.1672,
"USD","GBP", 1.2191,
"USD","GEL", 0.4151,
"USD","GHC", 2.515e-05,
"USD","GHS", 0.2515,
"USD","GIP", 1.2236,
"USD","GMD", 0.02365,
"USD","GNF", 0.0001105,
"USD","GRD", 0.003218,
"USD","GTQ", 0.1331,
"USD","GYD", 0.005083,
"USD","HKD", 0.129,
"USD","HNL", 0.04444,
"USD","HRK", 0.1461,
"USD","HTG", 0.01582,
"USD","HUF", 0.003549,
"USD","IDR", 7.74e-05,
"USD","IEP", 1.3923,
"USD","ILS", 0.2609,
"USD","INR", 0.015,
"USD","IQD", 0.0008729,
"USD","IRR", 3.328e-05,
"USD","ISK", 0.008882,
"USD","ITL", 0.0005663,
"USD","JMD", 0.007735,
"USD","JOD", 1.413,
"USD","JPY", 0.009536,
"USD","KES", 0.01003,
"USD","KGS", 0.01456,
"USD","KHR", 0.0002483,
"USD","KMF", 0.002281,
"USD","KPW", 0.007407,
"USD","KRW", 0.0008803,
"USD","KWD", 3.3113,
"USD","KYD", 1.2293,
"USD","KZT", 0.002981,
"USD","LAK", 0.0001229,
"USD","LBP", 0.0006638,
"USD","LKR", 0.006768,
"USD","LRD", 0.01111,
"USD","LSL", 0.073291,
"USD","LTL", 0.3176,
"USD","LUF", 0.02718,
"USD","LVL", 1.5602,
"USD","LYD", 0.7135,
"USD","MAD", 0.1015,
"USD","MDL", 0.05,
"USD","MGA", 0.0003137,
"USD","MGF", 0.0001093,
"USD","MKD", 0.01786,
"USD","MMK", 0.0007776,
"USD","MNT", 0.0004239,
"USD","MOP", 0.1285,
"USD","MRO", 0.002817,
"USD","MTL", 2.5541,
"USD","MUR", 0.028,
"USD","MVR", 0.06623,
"USD","MWK", 0.001404,
"USD","MXN", 0.05281,
"USD","MYR", 0.2385,
"USD","MZM", 1.299e-05,
"USD","MZN", 0.01299,
"USD","NAD", 0.073291,
"USD","NGN", 0.003284,
"USD","NIO", 0.03438,
"USD","NLG", 0.4976,
"USD","NOK", 0.1211,
"USD","NPR", 0.009368,
"USD","NZD", 0.7152,
"USD","OMR", 2.5974,
"USD","PAB", 1,
"USD","PEN", 0.2974,
"USD","PGK", 0.3222,
"USD","PHP", 0.02064,
"USD","PKR", 0.009545,
"USD","PLN", 0.2536,
"USD","PTE", 0.005469,
"USD","PYG", 0.0001751,
"USD","QAR", 0.2746,
"USD","ROL", 2.436e-05,
"USD","RON", 0.2436,
"USD","RSD", 0.008938,
"USD","RUB", 0.01587,
"USD","RWF", 0.001231,
"USD","SAR", 0.2668,
"USD","SBD", 0.1275,
"USD","SCR", 0.07586,
"USD","SDD", 0.001576,
"USD","SDG", 0.1576,
"USD","SDP", 0.0004423,
"USD","SEK", 0.1109,
"USD","SGD", 0.7184,
"USD","SHP", 1.8744,
"USD","SIT", 0.004576,
"USD","SKK", 0.0364,
"USD","SLL", 0.0001786,
"USD","SOS", 0.001799,
"USD","SRD", 0.146,
"USD","SRG", 0.000146,
"USD","STD", 4.454e-05,
"USD","SVC", 0.1147,
"USD","SYP", 0.004661,
"USD","SZL", 0.073291,
"USD","THB", 0.0286,
"USD","TJS", 0.127,
"USD","TMM", 5.7e-05,
"USD","TMT", 0.2857,
"USD","TND", 0.4441,
"USD","TOP", 0.4458,
"USD","TRL", 3.222e-07,
"USD","TRY", 0.3222,
"USD","TTD", 0.1497,
"USD","TWD", 0.03167,
"USD","TZS", 0.0004587,
"USD","UAH", 0.03922,
"USD","UGX", 0.0002929,
"USD","USD", 1,
"USD","UYU", 0.03524,
"USD","UZS", 0.0003225,
"USD","VEB", 0.0001003,
"USD","VEF", 0.1003,
"USD","VND", 4.48e-05,
"USD","VUV", 0.009526,
"USD","WST", 0.3951,
"USD","XAF", 0.001674,
"USD","XAG", 17.8532,
"USD","XAU", 1275.81,
"USD","XCD", 0.372,
"USD","XEU", 1.0965,
"USD","XOF", 0.001669,
"USD","XPD", 624,
"USD","XPF", 0.009255,
"USD","XPT", 983.5,
"USD","YER", 0.004001,
"USD","YUN", 0.008938,
"USD","ZAR", 0.07329,
"USD","ZMK", 0.0001932,
"USD","ZMW", 0.1037,
"USD","ZWD", 0.002679)
# Convert to a data frame
edge_table <-
as.data.frame(edge_table, stringsAsFactors = FALSE)
# Add nodes directly from the CSV file, calling the
# `add_nodes_from_table()` function with default
# options
graph <-
create_graph() %>%
add_nodes_from_table(table = node_table)
# Augment the graph by adding edges from a table
# with the `add_edges_from_table()` function
graph_nodes_edges <-
graph %>%
add_edges_from_table(
table = edge_table,
from_col = from_currency,
to_col = to_currency,
from_to_map = iso_4217_code)
# Expect that the graph has a certain number of edges
expect_equal(
count_edges(graph = graph_nodes_edges), 157)
# Expect certain columns to exist in the graph's
# edge data frame
expect_equal(
colnames(graph_nodes_edges$edges_df),
c("id", "from", "to", "rel", "cost_unit"))
# Expect an error if value for `from_col` is
# not in the table
expect_error(
graph %>%
add_edges_from_table(
edge_table,
from_col = from,
to_col = to_currency,
from_to_map = iso_4217_code))
# Expect an error if value for `to_col` is
# not in the table
expect_error(
graph %>%
add_edges_from_table(
edge_table,
from_col = from_currency,
to_col = to,
from_to_map = iso_4217_code))
# Expect an error if value for `from_to_map` is
# not in the table
expect_error(
graph %>%
add_edges_from_table(
edge_table,
from_col = from_currency,
to_col = to_currency,
from_to_map = iso_4217))
# Augment the graph by first
# adding edges from a table
# with `add_edges_from_table()` and
# then dropping a column
graph_nodes_edges_drop <-
graph %>%
add_edges_from_table(
table = edge_table,
from_col = from_currency,
to_col = to_currency,
drop_cols = cost_unit,
from_to_map = iso_4217_code)
# Expect that the graph has a certain number of edges
expect_equal(
count_edges(graph = graph_nodes_edges_drop), 157)
# Expect certain columns to exist in the graph's
# edge data frame
expect_equal(
colnames(graph_nodes_edges_drop$edges_df),
c("id", "from", "to", "rel"))
# Augment the graph by first
# adding edges from a table
# with `add_edges_from_table()` and
# then setting a static `rel` value
graph_nodes_edges_set_rel <-
graph %>%
add_edges_from_table(
table = edge_table,
from_col = from_currency,
to_col = to_currency,
from_to_map = iso_4217_code,
set_rel = "change_to")
# Expect that the graph has a certain number of edges
expect_equal(
count_edges(graph = graph_nodes_edges_set_rel), 157)
# Expect certain columns to exist in the graph's
# edge data frame
expect_equal(
colnames(graph_nodes_edges_set_rel$edges_df),
c("id", "from", "to", "rel", "cost_unit"))
# Expect the same value (repeated down)
# for the `rel` edge attribute
expect_equal(
unique(graph_nodes_edges_set_rel$edges_df$rel),
"change_to")
})
test_that("adding nodes from several table columns to a graph is possible", {
# Create a simple graph
graph <-
create_graph() %>%
add_path(n = 2)
# Create a data frame from which several
# columns have values designated as graph nodes
df <-
data.frame(
col_1 = c("f", "p", "q"),
col_2 = c("q", "x", "f"),
col_3 = c(1, 5, 3),
col_4 = c("a", "v", "h"),
stringsAsFactors = FALSE)
# Add nodes from columns `col_1` and `col_2`
# from the data frame to the graph object
graph <-
graph %>%
add_nodes_from_df_cols(
df = df,
columns = c("col_1", "col_2"))
# Expect a certain sequence of node `label` values
expect_equal(
graph %>% get_node_df() %>% .$label,
c("1", "2", "f", "p", "q", "x"))
# Add new nodes from columns 3 and 4; we are here
# specifying the columns by their numbers
graph <-
graph %>%
add_nodes_from_df_cols(
df = df,
columns = 3:4)
# Expect a certain sequence of node `label` values
expect_equal(
graph %>% get_node_df() %>% .$label,
c("1", "2", "f", "p", "q", "x",
"a", "v", "h"))
# Add column 4's values as labels/nodes again
graph <-
graph %>%
add_nodes_from_df_cols(
df = df,
columns = 4)
# Expect no change in the graph
expect_equal(
graph %>% get_node_df() %>% .$label,
c("1", "2", "f", "p", "q", "x",
"a", "v", "h"))
# Add column 4's values as labels/nodes except with
# the `keep_duplicates` argument set to TRUE
graph <-
graph %>%
add_nodes_from_df_cols(
df = df,
columns = 4,
keep_duplicates = TRUE)
# Expect duplicated labels in the graph
expect_equal(
graph %>% get_node_df() %>% .$label,
c("1", "2", "f", "p", "q", "x",
"a", "v", "h", "a", "v", "h"))
# Add column 4's values as labels/nodes with
# the `keep_duplicates = TRUE` and a `type` value
# of `new`
graph <-
graph %>%
add_nodes_from_df_cols(
df = df,
columns = 4,
type = "new",
keep_duplicates = TRUE)
# Expect more duplicated labels in the graph
expect_equal(
graph %>% get_node_df() %>% .$label,
c("1", "2", "f", "p", "q", "x",
"a", "v", "h", "a", "v", "h",
"a", "v", "h"))
# Expect the `type` value of `new` to appear
# for the last three nodes (others are not set)
expect_equal(
graph %>% get_node_df() %>% .$type,
c(rep(as.character(NA), 12),
rep("new", 3)))
})
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