summaryrefslogtreecommitdiff
path: root/lulua/test_optimize.py
diff options
context:
space:
mode:
authorLars-Dominik Braun <lars@6xq.net>2019-09-17 18:31:24 +0200
committerLars-Dominik Braun <lars@6xq.net>2019-09-17 18:31:24 +0200
commit969d1d393e75a229523c234203059fb570d28ed1 (patch)
tree5e11a08af59309b8245b3c3d062de639a7d30350 /lulua/test_optimize.py
downloadlulua-969d1d393e75a229523c234203059fb570d28ed1.tar.gz
lulua-969d1d393e75a229523c234203059fb570d28ed1.tar.bz2
lulua-969d1d393e75a229523c234203059fb570d28ed1.zip
Initial import
Diffstat (limited to 'lulua/test_optimize.py')
-rw-r--r--lulua/test_optimize.py39
1 files changed, 39 insertions, 0 deletions
diff --git a/lulua/test_optimize.py b/lulua/test_optimize.py
new file mode 100644
index 0000000..7c4c193
--- /dev/null
+++ b/lulua/test_optimize.py
@@ -0,0 +1,39 @@
+# Copyright (c) 2019 lulua contributors
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in
+# all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+
+from .optimize import Annealer
+
+class NullAnnealer (Annealer):
+ """ Simple dummy annealer for testing """
+ def energy (self):
+ return sum (self.state)
+
+ def mutate (self):
+ prev = self.energy ()
+ self.state = [x-1 for x in self.state]
+ return self.energy () - prev
+
+def test_null_annealer ():
+ dut = NullAnnealer ([1, 2, 3])
+ optimal, energy = dut.run (1)
+ assert optimal == [0, 1, 2]
+ assert energy == sum ([0, 1, 2])-sum([1, 2, 3])
+ assert dut.energy () == sum([0, 1, 2])
+