Running ‘testthat.R’ [43s/69s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(manynet)
  > library(migraph)
  Registered S3 methods overwritten by 'migraph':
    method                from   
    plot.matrix           manynet
    plot.network_measures manynet
    plot.node_measure     manynet
    plot.node_member      manynet
    plot.tie_measure      manynet
    print.network_measure manynet
    print.network_motif   manynet
    print.node_measure    manynet
    print.node_member     manynet
    print.node_motif      manynet
    print.tie_measure     manynet
    summary.node_measure  manynet
    summary.node_member   manynet
    summary.node_motif    manynet
  
  Attaching package: 'migraph'
  
  The following objects are masked from 'package:manynet':
  
      cluster_concor, cluster_hierarchical, k_elbow, k_silhouette,
      k_strict, network_adhesion, network_assortativity, network_balance,
      network_betweenness, network_brokerage_census, network_change,
      network_closeness, network_cohesion, network_components,
      network_congruency, network_connectedness, network_core,
      network_degree, network_density, network_diameter,
      network_diversity, network_dyad_census, network_efficiency,
      network_eigenvector, network_equivalency, network_factions,
      network_harmonic, network_hazard, network_heterophily,
      network_immunity, network_indegree, network_infection_length,
      network_length, network_mixed_census, network_modularity,
      network_outdegree, network_reach, network_reciprocity,
      network_reproduction, network_richclub, network_richness,
      network_scalefree, network_smallworld, network_spatial,
      network_stability, network_transitivity, network_transmissibility,
      network_triad_census, network_upperbound, node_adoption_time,
      node_alpha, node_automorphic_equivalence, node_betweenness,
      node_bridges, node_brokerage_census, node_brokering,
      node_brokering_activity, node_brokering_exclusivity,
      node_closeness, node_components, node_constraint, node_core,
      node_coreness, node_deg, node_degree, node_diversity,
      node_eccentricity, node_edge_betweenness, node_efficiency,
      node_effsize, node_eigenvector, node_equivalence, node_exposure,
      node_fast_greedy, node_flow, node_fluid, node_harmonic,
      node_heterophily, node_hierarchy, node_indegree, node_induced,
      node_infomap, node_information, node_kernighanlin,
      node_leading_eigen, node_leiden, node_louvain, node_multidegree,
      node_neighbours_degree, node_optimal, node_outdegree,
      node_pagerank, node_path_census, node_posneg, node_power,
      node_quad_census, node_reach, node_reciprocity, node_redundancy,
      node_regular_equivalence, node_richness, node_roulette,
      node_spinglass, node_strong_components,
      node_structural_equivalence, node_thresholds, node_tie_census,
      node_transitivity, node_triad_census, node_walktrap,
      node_weak_components, over_time, over_waves, tie_betweenness,
      tie_closeness, tie_cohesion, tie_degree, tie_eigenvector
  
  > 
  > test_check("migraph")
  [ FAIL 59 | WARN 2065 | SKIP 0 | PASS 189 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure ('test-measure_centrality.R:20:3'): two mode degree centrality calculated correctly ──
  bot5(node_degree(test_mat, normalized = FALSE)) not equal to c(6, 4, 7, 4, 4).
  4/5 mismatches (average diff: 1)
  [1] 5 - 6 == -1
  [3] 6 - 7 == -1
  [4] 3 - 4 == -1
  [5] 3 - 4 == -1
  ── Failure ('test-measure_centrality.R:21:3'): two mode degree centrality calculated correctly ──
  bot5(node_degree(test_igr, normalized = FALSE)) not equal to c(6, 4, 7, 4, 4).
  4/5 mismatches (average diff: 1)
  [1] 5 - 6 == -1
  [3] 6 - 7 == -1
  [4] 3 - 4 == -1
  [5] 3 - 4 == -1
  ── Failure ('test-measure_centrality.R:22:3'): two mode degree centrality calculated correctly ──
  bot5(with_graph(test_tbl, node_degree(normalized = FALSE))) not equal to c(6, 4, 7, 4, 4).
  4/5 mismatches (average diff: 1)
  [1] 5 - 6 == -1
  [3] 6 - 7 == -1
  [4] 3 - 4 == -1
  [5] 3 - 4 == -1
  ── Failure ('test-measure_centrality.R:26:3'): two mode degree centrality calculated correctly ──
  bot5(node_degree(test_mat, normalized = TRUE)) not equal to c(0.3333, 0.2222, 0.3889, 0.2222, 0.2222).
  4/5 mismatches (average diff: 0.0555)
  [1] 0.278 - 0.333 == -0.0555
  [3] 0.333 - 0.389 == -0.0556
  [4] 0.167 - 0.222 == -0.0555
  [5] 0.167 - 0.222 == -0.0555
  ── Failure ('test-measure_centrality.R:27:3'): two mode degree centrality calculated correctly ──
  bot5(node_degree(test_igr, normalized = TRUE)) not equal to c(0.3333, 0.2222, 0.3889, 0.2222, 0.2222).
  4/5 mismatches (average diff: 0.0555)
  [1] 0.278 - 0.333 == -0.0555
  [3] 0.333 - 0.389 == -0.0556
  [4] 0.167 - 0.222 == -0.0555
  [5] 0.167 - 0.222 == -0.0555
  ── Failure ('test-measure_centrality.R:28:3'): two mode degree centrality calculated correctly ──
  bot5(with_graph(test_tbl, node_degree(normalized = TRUE))) not equal to c(0.3333, 0.2222, 0.3889, 0.2222, 0.2222).
  4/5 mismatches (average diff: 0.0555)
  [1] 0.278 - 0.333 == -0.0555
  [3] 0.333 - 0.389 == -0.0556
  [4] 0.167 - 0.222 == -0.0555
  [5] 0.167 - 0.222 == -0.0555
  ── Failure ('test-measure_centrality.R:39:3'): two mode closeness centrality calculated correctly ──
  bot5(node_closeness(test_mat, normalized = FALSE)) not equal to c(0.0128, 0.0122, 0.0132, 0.0122, 0.0122).
  4/5 mismatches (average diff: 0.000325)
  [1] 0.0125 - 0.0128 == -3e-04
  [3] 0.0128 - 0.0132 == -4e-04
  [4] 0.0119 - 0.0122 == -3e-04
  [5] 0.0119 - 0.0122 == -3e-04
  ── Failure ('test-measure_centrality.R:40:3'): two mode closeness centrality calculated correctly ──
  bot5(node_closeness(test_igr, normalized = FALSE)) not equal to c(0.0128, 0.0122, 0.0132, 0.0122, 0.0122).
  4/5 mismatches (average diff: 0.000325)
  [1] 0.0125 - 0.0128 == -3e-04
  [3] 0.0128 - 0.0132 == -4e-04
  [4] 0.0119 - 0.0122 == -3e-04
  [5] 0.0119 - 0.0122 == -3e-04
  ── Failure ('test-measure_centrality.R:41:3'): two mode closeness centrality calculated correctly ──
  bot5(with_graph(test_tbl, node_closeness(normalized = FALSE))) not equal to c(0.0128, 0.0122, 0.0132, 0.0122, 0.0122).
  4/5 mismatches (average diff: 0.000325)
  [1] 0.0125 - 0.0128 == -3e-04
  [3] 0.0128 - 0.0132 == -4e-04
  [4] 0.0119 - 0.0122 == -3e-04
  [5] 0.0119 - 0.0122 == -3e-04
  ── Failure ('test-measure_centrality.R:45:3'): two mode closeness centrality calculated correctly ──
  bot5(node_closeness(test_mat, normalized = TRUE)) not equal to c(0.5641, 0.5366, 0.5789, 0.5366, 0.5366).
  4/5 mismatches (average diff: 0.0136)
  [1] 0.550 - 0.564 == -0.0141
  [3] 0.564 - 0.579 == -0.0148
  [4] 0.524 - 0.537 == -0.0128
  [5] 0.524 - 0.537 == -0.0128
  ── Failure ('test-measure_centrality.R:46:3'): two mode closeness centrality calculated correctly ──
  bot5(node_closeness(test_igr, normalized = TRUE)) not equal to c(0.5641, 0.5366, 0.5789, 0.5366, 0.5366).
  4/5 mismatches (average diff: 0.0136)
  [1] 0.550 - 0.564 == -0.0141
  [3] 0.564 - 0.579 == -0.0148
  [4] 0.524 - 0.537 == -0.0128
  [5] 0.524 - 0.537 == -0.0128
  ── Failure ('test-measure_centrality.R:47:3'): two mode closeness centrality calculated correctly ──
  bot5(with_graph(test_tbl, node_closeness(normalized = TRUE))) not equal to c(0.5641, 0.5366, 0.5789, 0.5366, 0.5366).
  4/5 mismatches (average diff: 0.0136)
  [1] 0.550 - 0.564 == -0.0141
  [3] 0.564 - 0.579 == -0.0148
  [4] 0.524 - 0.537 == -0.0128
  [5] 0.524 - 0.537 == -0.0128
  ── Failure ('test-measure_centrality.R:55:3'): two mode betweenness centrality calculated correctly ──
  top5(node_betweenness(test_mat, normalized = FALSE)) not equal to c(42.76, 22.8565, 38.7393, 22.0119, 4.7279).
  5/5 mismatches (average diff: 0.097)
  [1] 42.98 - 42.76 ==  0.2202
  [2] 22.85 - 22.86 == -0.0024
  [3] 38.98 - 38.74 ==  0.2403
  [4] 22.02 - 22.01 ==  0.0096
  [5]  4.72 -  4.73 == -0.0126
  ── Failure ('test-measure_centrality.R:56:3'): two mode betweenness centrality calculated correctly ──
  top5(node_betweenness(test_igr, normalized = FALSE)) not equal to c(42.76, 22.8565, 38.7393, 22.0119, 4.7279).
  5/5 mismatches (average diff: 0.097)
  [1] 42.98 - 42.76 ==  0.2202
  [2] 22.85 - 22.86 == -0.0024
  [3] 38.98 - 38.74 ==  0.2403
  [4] 22.02 - 22.01 ==  0.0096
  [5]  4.72 -  4.73 == -0.0126
  ── Failure ('test-measure_centrality.R:57:3'): two mode betweenness centrality calculated correctly ──
  top5(with_graph(test_tbl, node_betweenness(normalized = FALSE))) not equal to c(42.76, 22.8565, 38.7393, 22.0119, 4.7279).
  5/5 mismatches (average diff: 0.097)
  [1] 42.98 - 42.76 ==  0.2202
  [2] 22.85 - 22.86 == -0.0024
  [3] 38.98 - 38.74 ==  0.2403
  [4] 22.02 - 22.01 ==  0.0096
  [5]  4.72 -  4.73 == -0.0126
  ── Failure ('test-measure_centrality.R:58:3'): two mode betweenness centrality calculated correctly ──
  bot5(node_betweenness(test_mat, normalized = FALSE)) not equal to c(6.8186, 9.0194, 10.2354, 1.8892, 1.8892).
  5/5 mismatches (average diff: 1.12)
  [1] 5.17 -  6.82 == -1.647
  [2] 8.89 -  9.02 == -0.131
  [3] 8.18 - 10.24 == -2.057
  [4] 1.01 -  1.89 == -0.876
  [5] 1.01 -  1.89 == -0.876
  ── Failure ('test-measure_centrality.R:59:3'): two mode betweenness centrality calculated correctly ──
  bot5(node_betweenness(test_igr, normalized = FALSE)) not equal to c(6.8186, 9.0194, 10.2354, 1.8892, 1.8892).
  5/5 mismatches (average diff: 1.12)
  [1] 5.17 -  6.82 == -1.647
  [2] 8.89 -  9.02 == -0.131
  [3] 8.18 - 10.24 == -2.057
  [4] 1.01 -  1.89 == -0.876
  [5] 1.01 -  1.89 == -0.876
  ── Failure ('test-measure_centrality.R:60:3'): two mode betweenness centrality calculated correctly ──
  bot5(with_graph(test_tbl, node_betweenness(normalized = FALSE))) not equal to c(6.8186, 9.0194, 10.2354, 1.8892, 1.8892).
  5/5 mismatches (average diff: 1.12)
  [1] 5.17 -  6.82 == -1.647
  [2] 8.89 -  9.02 == -0.131
  [3] 8.18 - 10.24 == -2.057
  [4] 1.01 -  1.89 == -0.876
  [5] 1.01 -  1.89 == -0.876
  ── Failure ('test-measure_centrality.R:61:3'): two mode betweenness centrality calculated correctly ──
  top5(node_betweenness(test_mat, normalized = TRUE), 4) not equal to c(0.0967, 0.0517, 0.0876, 0.0498, 0.0107).
  2/5 mismatches (average diff: 0.00055)
  [1] 0.0972 - 0.0967 == 5e-04
  [3] 0.0882 - 0.0876 == 6e-04
  ── Failure ('test-measure_centrality.R:62:3'): two mode betweenness centrality calculated correctly ──
  top5(node_betweenness(test_igr, normalized = TRUE), 4) not equal to c(0.0967, 0.0517, 0.0876, 0.0498, 0.0107).
  2/5 mismatches (average diff: 0.00055)
  [1] 0.0972 - 0.0967 == 5e-04
  [3] 0.0882 - 0.0876 == 6e-04
  ── Failure ('test-measure_centrality.R:63:3'): two mode betweenness centrality calculated correctly ──
  top5(...) not equal to c(0.0967, 0.0517, 0.0876, 0.0498, 0.0107).
  2/5 mismatches (average diff: 0.00055)
  [1] 0.0972 - 0.0967 == 5e-04
  [3] 0.0882 - 0.0876 == 6e-04
  ── Failure ('test-measure_centrality.R:64:3'): two mode betweenness centrality calculated correctly ──
  bot5(node_betweenness(test_mat, normalized = TRUE), 4) not equal to c(0.0151, 0.02, 0.0226, 0.0042, 0.0042).
  5/5 mismatches (average diff: 0.0025)
  [1] 0.0114 - 0.0151 == -0.0037
  [2] 0.0197 - 0.0200 == -0.0003
  [3] 0.0181 - 0.0226 == -0.0045
  [4] 0.0022 - 0.0042 == -0.0020
  [5] 0.0022 - 0.0042 == -0.0020
  ── Failure ('test-measure_centrality.R:65:3'): two mode betweenness centrality calculated correctly ──
  bot5(node_betweenness(test_igr, normalized = TRUE), 4) not equal to c(0.0151, 0.02, 0.0226, 0.0042, 0.0042).
  5/5 mismatches (average diff: 0.0025)
  [1] 0.0114 - 0.0151 == -0.0037
  [2] 0.0197 - 0.0200 == -0.0003
  [3] 0.0181 - 0.0226 == -0.0045
  [4] 0.0022 - 0.0042 == -0.0020
  [5] 0.0022 - 0.0042 == -0.0020
  ── Failure ('test-measure_centrality.R:66:3'): two mode betweenness centrality calculated correctly ──
  bot5(...) not equal to c(0.0151, 0.02, 0.0226, 0.0042, 0.0042).
  5/5 mismatches (average diff: 0.0025)
  [1] 0.0114 - 0.0151 == -0.0037
  [2] 0.0197 - 0.0200 == -0.0003
  [3] 0.0181 - 0.0226 == -0.0045
  [4] 0.0022 - 0.0042 == -0.0020
  [5] 0.0022 - 0.0042 == -0.0020
  ── Failure ('test-measure_centrality.R:75:3'): two mode eigenvector centrality calculated correctly ──
  top3(node_eigenvector(test_mat, normalized = FALSE)) not equal to c(0.2991, 0.2809, 0.3338).
  3/3 mismatches (average diff: 0.0196)
  [1] 0.319 - 0.299 == 0.0194
  [2] 0.300 - 0.281 == 0.0195
  [3] 0.354 - 0.334 == 0.0198
  ── Failure ('test-measure_centrality.R:76:3'): two mode eigenvector centrality calculated correctly ──
  top3(node_eigenvector(test_igr, normalized = FALSE)) not equal to c(0.2991, 0.2809, 0.3338).
  3/3 mismatches (average diff: 0.0196)
  [1] 0.319 - 0.299 == 0.0194
  [2] 0.300 - 0.281 == 0.0195
  [3] 0.354 - 0.334 == 0.0198
  ── Failure ('test-measure_centrality.R:77:3'): two mode eigenvector centrality calculated correctly ──
  bot3(node_eigenvector(test_mat, normalized = FALSE)) not equal to c(0.2551, 0.1774, 0.1774).
  3/3 mismatches (average diff: 0.0437)
  [1] 0.216 - 0.255 == -0.0395
  [2] 0.132 - 0.177 == -0.0458
  [3] 0.132 - 0.177 == -0.0458
  ── Failure ('test-measure_centrality.R:78:3'): two mode eigenvector centrality calculated correctly ──
  bot3(node_eigenvector(test_igr, normalized = FALSE)) not equal to c(0.2551, 0.1774, 0.1774).
  3/3 mismatches (average diff: 0.0437)
  [1] 0.216 - 0.255 == -0.0395
  [2] 0.132 - 0.177 == -0.0458
  [3] 0.132 - 0.177 == -0.0458
  ── Failure ('test-measure_centrality.R:79:3'): two mode eigenvector centrality calculated correctly ──
  top3(node_eigenvector(test_igr, normalized = TRUE)) not equal to c(0.423, 0.3973, 0.4721).
  3/3 mismatches (average diff: 0.0276)
  [1] 0.451 - 0.423 == 0.0275
  [2] 0.425 - 0.397 == 0.0275
  [3] 0.500 - 0.472 == 0.0279
  ── Failure ('test-measure_centrality.R:103:3'): two mode degree centralisation calculated correctly ──
  as.numeric(network_degree(ison_southern_women, normalized = FALSE)) not equal to c(0.1813, 0.5097).
  2/2 mismatches (average diff: 0.0182)
  [1] 0.202 - 0.181 == 0.0208
  [2] 0.525 - 0.510 == 0.0156
  ── Failure ('test-measure_centrality.R:104:3'): two mode degree centralisation calculated correctly ──
  as.numeric(network_degree(ison_southern_women, direction = "in")) not equal to c(0.2308, 0.4661).
  2/2 mismatches (average diff: 0.0181)
  [1] 0.249 - 0.231 == 0.0181
  [2] 0.484 - 0.466 == 0.0181
  ── Failure ('test-measure_centrality.R:105:3'): two mode degree centralisation calculated correctly ──
  as.numeric(network_degree(ison_southern_women, normalized = TRUE)) not equal to c(0.2268, 0.4744).
  2/2 mismatches (average diff: 0.0181)
  [1] 0.245 - 0.227 == 0.0178
  [2] 0.493 - 0.474 == 0.0184
  ── Failure ('test-measure_centrality.R:109:3'): two mode closeness centralisation calculated correctly ──
  as.numeric(network_closeness(ison_southern_women, normalized = TRUE)) not equal to c(0.2843, 0.4418).
  2/2 mismatches (average diff: 0.00975)
  [1] 0.293 - 0.284 == 0.00899
  [2] 0.452 - 0.442 == 0.01051
  ── Failure ('test-measure_centrality.R:110:3'): two mode closeness centralisation calculated correctly ──
  as.numeric(network_closeness(ison_southern_women, direction = "in")) not equal to c(0.2135, 0.5285).
  2/2 mismatches (average diff: 0.00959)
  [1] 0.224 - 0.213 == 0.01046
  [2] 0.537 - 0.528 == 0.00872
  ── Failure ('test-measure_centrality.R:114:3'): two mode betweenness centralisation calculated correctly ──
  as.numeric(network_betweenness(ison_southern_women, normalized = FALSE)) not equal to c(0.058, 0.2073).
  2/2 mismatches (average diff: 0.00967)
  [1] 0.0733 - 0.058 == 0.01532
  [2] 0.2113 - 0.207 == 0.00402
  ── Failure ('test-measure_centrality.R:115:3'): two mode betweenness centralisation calculated correctly ──
  as.numeric(network_betweenness(ison_southern_women, direction = "in")) not equal to c(0.0668, 0.1982).
  2/2 mismatches (average diff: 0.00956)
  [1] 0.082 - 0.0668 == 0.01516
  [2] 0.202 - 0.1982 == 0.00396
  ── Failure ('test-measure_centrality.R:116:3'): two mode betweenness centralisation calculated correctly ──
  as.numeric(network_betweenness(ison_southern_women, normalized = TRUE)) not equal to c(0.0586, 0.207).
  2/2 mismatches (average diff: 0.00979)
  [1] 0.0739 - 0.0586 == 0.01525
  [2] 0.2113 - 0.2070 == 0.00432
  ── Failure ('test-measure_closure.R:26:3'): two-mode object clustering is reported correctly ──
  as.numeric(network_equivalency(ison_southern_women)) not equal to 0.4872.
  1/1 mismatches
  [1] 0.468 - 0.487 == -0.0194
  ── Failure ('test-measure_features.R:5:3'): small-world metrics for two mode networks are calculated and displayed correctly ──
  as.numeric(network_smallworld(ison_southern_women)) not equal to -1.04.
  1/1 mismatches
  [1] -0.944 - -1.04 == 0.0959
  ── Error ('test-measure_features.R:23:3'): network_core works ──────────────────
  Error in `manynet::create_core(.data, membership = membership)`: unused argument (membership = membership)
  Backtrace:
      ▆
   1. ├─testthat::expect_s3_class(network_core(ison_adolescents), "network_measure") at test-measure_features.R:23:3
   2. │ └─testthat::quasi_label(enquo(object), arg = "object")
   3. │   └─rlang::eval_bare(expr, quo_get_env(quo))
   4. └─migraph::network_core(ison_adolescents)
   5.   ├─stats::cor(...)
   6.   │ └─base::is.data.frame(y)
   7.   └─manynet::as_matrix(manynet::create_core(.data, membership = membership))
  ── Failure ('test-measure_holes.R:4:3'): redundancy is reported correctly ──────
  length(node_redundancy(ison_brandes)) not equal to network_nodes(ison_brandes).
  Classes differ: 'integer' is not 'network_measure'/'numeric'
  ── Failure ('test-measure_holes.R:5:3'): redundancy is reported correctly ──────
  length(node_redundancy(mpn_elite_usa_advice)) not equal to network_nodes(mpn_elite_usa_advice).
  Classes differ: 'integer' is not 'network_measure'/'numeric'
  ── Failure ('test-measure_holes.R:13:3'): effective size is calculated and reported correctly ──
  length(node_effsize(ison_brandes)) not equal to network_nodes(ison_brandes).
  Classes differ: 'integer' is not 'network_measure'/'numeric'
  ── Failure ('test-measure_holes.R:14:3'): effective size is calculated and reported correctly ──
  length(node_effsize(mpn_elite_usa_advice)) not equal to network_nodes(mpn_elite_usa_advice).
  Classes differ: 'integer' is not 'network_measure'/'numeric'
  ── Failure ('test-measure_holes.R:23:3'): efficiency is reported correctly ─────
  length(node_efficiency(ison_brandes)) not equal to network_nodes(ison_brandes).
  Classes differ: 'integer' is not 'network_measure'/'numeric'
  ── Failure ('test-measure_holes.R:24:3'): efficiency is reported correctly ─────
  length(node_efficiency(mpn_elite_usa_advice)) not equal to network_nodes(mpn_elite_usa_advice).
  Classes differ: 'integer' is not 'network_measure'/'numeric'
  ── Failure ('test-measure_holes.R:29:3'): constraint scores are reported correctly for two-mode notworks ──
  round(unname(node_constraint(ison_southern_women)[1:3]), 2) not equal to c(0.28, 0.31, 0.29).
  1/3 mismatches
  [3] 0.3 - 0.29 == 0.01
  ── Failure ('test-measure_holes.R:42:3'): hierarchy is reported correctly ──────
  length(node_hierarchy(ison_brandes)) not equal to network_nodes(ison_brandes).
  Classes differ: 'integer' is not 'network_measure'/'numeric'
  ── Failure ('test-measure_holes.R:43:3'): hierarchy is reported correctly ──────
  length(node_hierarchy(mpn_elite_usa_advice)) not equal to network_nodes(mpn_elite_usa_advice).
  Classes differ: 'integer' is not 'network_measure'/'numeric'
  ── Failure ('test-member_equivalence.R:14:3'): equivalence clustering works ────
  network_nodes(ison_adolescents) not equal to length(...).
  Classes differ: 'network_measure'/'numeric' is not 'integer'
  ── Failure ('test-member_equivalence.R:15:3'): equivalence clustering works ────
  network_nodes(ison_adolescents) not equal to length(node_structural_equivalence(ison_adolescents, k = 3, "hier")).
  Classes differ: 'network_measure'/'numeric' is not 'integer'
  ── Failure ('test-member_equivalence.R:16:3'): equivalence clustering works ────
  network_nodes(ison_adolescents) not equal to length(...).
  Classes differ: 'network_measure'/'numeric' is not 'integer'
  ── Failure ('test-member_equivalence.R:17:3'): equivalence clustering works ────
  network_nodes(mpn_elite_mex) not equal to length(node_regular_equivalence(mpn_elite_mex, cluster = "concor")).
  Classes differ: 'network_measure'/'numeric' is not 'integer'
  ── Failure ('test-member_equivalence.R:18:3'): equivalence clustering works ────
  network_nodes(mpn_elite_mex) not equal to length(node_regular_equivalence(mpn_elite_mex, "elbow")).
  Classes differ: 'network_measure'/'numeric' is not 'integer'
  ── Failure ('test-member_equivalence.R:19:3'): equivalence clustering works ────
  network_nodes(mpn_elite_mex) not equal to length(node_regular_equivalence(mpn_elite_mex, "strict")).
  Classes differ: 'network_measure'/'numeric' is not 'integer'
  ── Failure ('test-member_equivalence.R:20:3'): equivalence clustering works ────
  network_nodes(mpn_elite_usa_advice) not equal to length(...).
  Classes differ: 'network_measure'/'numeric' is not 'integer'
  ── Failure ('test-member_equivalence.R:21:3'): equivalence clustering works ────
  network_nodes(mpn_elite_usa_advice) not equal to length(node_automorphic_equivalence(mpn_elite_usa_advice, distance = "maximum")).
  Classes differ: 'network_measure'/'numeric' is not 'integer'
  ── Failure ('test-model_tests.R:29:3'): test_random works ──────────────────────
  mean(cugtest3$testdist) not equal to 0.361.
  1/1 mismatches
  [1] 0.341 - 0.361 == -0.0203
  ── Error ('test-motif_census.R:38:1'): (code run outside of `test_that()`) ─────
  Error in `as.edge_list(graph)`: not coercable to edge list only data frames with 2 columns supported
  Backtrace:
      ▆
   1. └─migraph::node_quad_census(manynet::ison_southern_women) at test-motif_census.R:38:1
   2.   └─oaqc::oaqc(graph)
   3.     └─oaqc:::as.edge_list(graph)
  
  [ FAIL 59 | WARN 2065 | SKIP 0 | PASS 189 ]
  Error: Test failures
  Execution halted