From 197adfd51ee1b9c970ea73fe9f76b5f3962a33a9 Mon Sep 17 00:00:00 2001
From: Daniele Grattarola <daniele.grattarola@gmail.com>
Date: Thu, 1 Jun 2023 22:43:38 +0100
Subject: [PATCH] Format with latest Black version

---
 examples/graph_prediction/qm9_ecc.py    | 1 +
 examples/other/node_clustering_tvgnn.py | 2 ++
 spektral/layers/base.py                 | 2 --
 spektral/layers/pooling/dmon_pool.py    | 1 -
 spektral/layers/pooling/global_pool.py  | 1 -
 5 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/examples/graph_prediction/qm9_ecc.py b/examples/graph_prediction/qm9_ecc.py
index 7c3822b7..864f2adc 100644
--- a/examples/graph_prediction/qm9_ecc.py
+++ b/examples/graph_prediction/qm9_ecc.py
@@ -40,6 +40,7 @@
 loader_tr = DisjointLoader(dataset_tr, batch_size=batch_size, epochs=epochs)
 loader_te = DisjointLoader(dataset_te, batch_size=batch_size, epochs=1)
 
+
 ################################################################################
 # Build model
 ################################################################################
diff --git a/examples/other/node_clustering_tvgnn.py b/examples/other/node_clustering_tvgnn.py
index 11ed8d1d..59ffdbaa 100644
--- a/examples/other/node_clustering_tvgnn.py
+++ b/examples/other/node_clustering_tvgnn.py
@@ -53,6 +53,7 @@
 y = np.argmax(Y, axis=-1)
 n_clust = Y.shape[-1]
 
+
 ################################
 # MODEL
 ################################
@@ -101,6 +102,7 @@ def call(self, inputs):
 model = ClusteringModel(aggr=MP_layers, pool=pool_layer)
 opt = tf.keras.optimizers.Adam(learning_rate=learning_rate)
 
+
 ################################
 # TRAINING
 ################################
diff --git a/spektral/layers/base.py b/spektral/layers/base.py
index 29ac48a7..19f6bef5 100644
--- a/spektral/layers/base.py
+++ b/spektral/layers/base.py
@@ -118,7 +118,6 @@ def __init__(
         kernel_constraint=None,
         **kwargs
     ):
-
         super().__init__(**kwargs)
         self.trainable_kernel = trainable_kernel
         self.activation = activations.get(activation)
@@ -184,7 +183,6 @@ class MinkowskiProduct(Layer):
     """
 
     def __init__(self, activation=None, **kwargs):
-
         super().__init__(**kwargs)
         self.activation = activations.get(activation)
 
diff --git a/spektral/layers/pooling/dmon_pool.py b/spektral/layers/pooling/dmon_pool.py
index 70f4baa8..5a7621c3 100644
--- a/spektral/layers/pooling/dmon_pool.py
+++ b/spektral/layers/pooling/dmon_pool.py
@@ -162,7 +162,6 @@ def reduce_index(self, i, s, **kwargs):
         return i_pool
 
     def modularity_loss(self, a, s, a_pool):
-
         if K.is_sparse(a):
             n_edges = tf.cast(len(a.values), dtype=s.dtype)
 
diff --git a/spektral/layers/pooling/global_pool.py b/spektral/layers/pooling/global_pool.py
index f12ed430..5453df28 100644
--- a/spektral/layers/pooling/global_pool.py
+++ b/spektral/layers/pooling/global_pool.py
@@ -8,7 +8,6 @@
 
 class GlobalPool(Layer):
     def __init__(self, **kwargs):
-
         super().__init__(**kwargs)
         self.supports_masking = True
         self.pooling_op = None