diff --git a/lang/fr/gklearn/examples/kernels/compute_graph_kernel_old.py b/lang/fr/gklearn/examples/kernels/compute_graph_kernel_old.py
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+++ b/lang/fr/gklearn/examples/kernels/compute_graph_kernel_old.py
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+# -*- coding: utf-8 -*-
+"""compute_graph_kernel_v0.1.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/10jUz7-ahPiE_T1qvFrh2NvCVs1e47noj
+
+**This script demonstrates how to compute a graph kernel.**
+---
+
+**0.   Install `graphkit-learn`.**
+"""
+
+"""**1.   Get dataset.**"""
+
+from gklearn.utils.graphfiles import loadDataset
+
+graphs, targets = loadDataset('../../../datasets/MUTAG/MUTAG_A.txt')
+
+"""**2.  Compute graph kernel.**"""
+
+from gklearn.kernels import untilhpathkernel
+
+gram_matrix, run_time = untilhpathkernel(
+	graphs, # The list of input graphs.
+	depth=5, # The longest length of paths.
+	k_func='MinMax', # Or 'tanimoto'.
+	compute_method='trie', # Or 'naive'.
+	n_jobs=1, # The number of jobs to run in parallel.
+	verbose=True)
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