From 4da7a192c511048718c2df547d32dfc2bd43ff4f Mon Sep 17 00:00:00 2001
From: Bas Nijholt <basnijholt@gmail.com>
Date: Fri, 8 Sep 2017 15:48:13 +0200
Subject: [PATCH] 2D: don't use np.empty as a small random number generator
---
adaptive/learner.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/adaptive/learner.py b/adaptive/learner.py
index fe49ddd9..5e60e8ea 100644
--- a/adaptive/learner.py
+++ b/adaptive/learner.py
@@ -724,7 +724,7 @@ class Learner2D(BaseLearner):
# It is important not to return exact zeros because
# otherwise the algo will try to add the same point
# to the stack each time.
- ip_real = lambda x: np.empty(len(x))
+ ip_real = lambda x: np.random.rand(len(x)) * 1e-15
n_interp = list(self._interp.values())
values = ip_real(p[n_interp])
for n, value in zip(n_interp, values):
--
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