From 0f3317b7640ab2c05bf72306b607f5cf1fba9345 Mon Sep 17 00:00:00 2001
From: Fize Jacques <jacques.fize@cirad.fr>
Date: Mon, 29 Mar 2021 17:31:45 +0200
Subject: [PATCH] debug
---
lib/random.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/lib/random.py b/lib/random.py
index 1d09352..c6f8898 100644
--- a/lib/random.py
+++ b/lib/random.py
@@ -459,7 +459,7 @@ def mixed_model_spat_sbm(nb_nodes, nb_edges, nb_com, alpha, percentage_edge_betw
G = spatial_graph(nb_nodes, nb_edges, coords="random", dist_func=dist_func)
G = add_partitions_G(G, nb_com)
nb_edges = G.size()
-
+ float_epsilon = np.finfo(float).eps
def nb_of_pair(N):
return (N * (N - 1)) / 2
@@ -484,9 +484,9 @@ def mixed_model_spat_sbm(nb_nodes, nb_edges, nb_com, alpha, percentage_edge_betw
all_probs_sbm = np.concatenate((probs_sbm_inter, probs_sbm_intra))
all_probs_sbm /= all_probs_sbm.sum()
- all_probs_spa = np.asarray([1 / dist_func(edge[0], edge[1]) for edge in all_edges])
+ pos = nx.get_node_attributes(G,"pos")
+ all_probs_spa = np.asarray([1 / (float_epsilon +dist_func(pos[edge[0]], pos[edge[1]])) for edge in all_edges])
all_probs_spa /= all_probs_spa.sum()
-
all_probs = alpha * (all_probs_sbm) + (1 - alpha) * all_probs_spa
final_edges = []
--
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