[Numpy-svn] r5998 - trunk/numpy/core/tests

numpy-svn@scip... numpy-svn@scip...
Mon Nov 10 20:58:06 CST 2008


Author: charris
Date: 2008-11-10 20:57:58 -0600 (Mon, 10 Nov 2008)
New Revision: 5998

Modified:
   trunk/numpy/core/tests/test_umath.py
Log:
Add tests for log2, exp2, and logaddexp.

Modified: trunk/numpy/core/tests/test_umath.py
===================================================================
--- trunk/numpy/core/tests/test_umath.py	2008-11-11 01:41:59 UTC (rev 5997)
+++ trunk/numpy/core/tests/test_umath.py	2008-11-11 02:57:58 UTC (rev 5998)
@@ -35,6 +35,54 @@
         assert_almost_equal(x**14, [-76443+16124j, 23161315+58317492j,
                                     5583548873 +  2465133864j])
 
+class TestLog2(TestCase):
+    def test_log2_values(self) :
+        x = [1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
+        y = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+        for dt in ['f','d','g'] :
+            xf = np.array(x, dtype=dt)
+            assert_almost_equal(np.log2(xf), y)
+
+class TestExp2(TestCase):
+    def test_exp2_values(self) :
+        x = [1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
+        y = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+        for dt in ['f','d','g'] :
+            yf = np.array(y, dtype=dt)
+            assert_almost_equal(np.exp2(yf), x)
+
+class TestLogAddExp(TestCase):
+    def test_logaddexp_values(self) :
+        x = [1, 2, 3, 4, 5]
+        y = [5, 4, 3, 2, 1]
+        z = [6, 6, 6, 6, 6]
+        for dt in ['f','d','g'] :
+            logxf = np.log(np.array(x, dtype=dt))
+            logyf = np.log(np.array(y, dtype=dt))
+            logzf = np.log(np.array(z, dtype=dt))
+            assert_almost_equal(np.logaddexp(logxf, logyf), logzf)
+
+    def test_logaddexp_range(self) :
+        x = [1000000, -1000000, 2000000, -2000000]
+        y = [2000000, -2000000, 1000000, -1000000]
+        z = [2000000, -1000000, 2000000, -1000000]
+        for dt in ['f','d','g'] :
+            logxf = np.array(x, dtype=dt)
+            logyf = np.array(y, dtype=dt)
+            logzf = np.array(z, dtype=dt))
+            assert_almost_equal(np.logaddexp(logxf, logyf), logzf)
+
+class TestLogAddExp(TestCase):
+    def test_logaddexp(self) :
+        x = [1, 2, 3, 4, 5]
+        y = [5, 4, 3, 2, 1]
+        z = [6, 6, 6, 6, 6]
+        for dt in ['f','d','g'] :
+            logxf = np.log2(np.array(x, dtype=dt))
+            logyf = np.log2(np.array(y, dtype=dt))
+            logzf = np.log2(np.array(z, dtype=dt))
+            assert_almost_equal(np.logaddexp2(logxf, logyf), logzf)
+
 class TestLog1p(TestCase):
     def test_log1p(self):
         assert_almost_equal(ncu.log1p(0.2), ncu.log(1.2))



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