[Scipy-svn] r5070 - trunk/scipy/spatial/tests

scipy-svn at scipy.org scipy-svn at scipy.org
Wed Nov 12 19:03:11 EST 2008


Author: damian.eads
Date: 2008-11-12 18:03:06 -0600 (Wed, 12 Nov 2008)
New Revision: 5070

Modified:
   trunk/scipy/spatial/tests/test_distance.py
Log:
Added tests for scipy.spatial.distance.is_valid_y.

Modified: trunk/scipy/spatial/tests/test_distance.py
===================================================================
--- trunk/scipy/spatial/tests/test_distance.py	2008-11-12 23:48:03 UTC (rev 5069)
+++ trunk/scipy/spatial/tests/test_distance.py	2008-11-13 00:03:06 UTC (rev 5070)
@@ -41,7 +41,7 @@
 from scipy.spatial.distance import squareform, pdist, cdist, matching, \
                                    jaccard, dice, sokalsneath, rogerstanimoto, \
                                    russellrao, yule, numobs_y, numobs_dm, \
-                                   is_valid_dm
+                                   is_valid_dm, is_valid_y
 
 _filenames = ["iris.txt",
               "cdist-X1.txt",
@@ -1511,37 +1511,37 @@
 class TestIsValidDM(TestCase):
 
     def test_is_valid_dm_int16_array_E(self):
-        "Tests is_valid_dm on an int16 array. Exception expected."
+        "Tests is_valid_dm(*) on an int16 array. Exception expected."
         D = np.zeros((5, 5), dtype='i')
         self.failUnlessRaises(TypeError, is_valid_dm_throw, (D))
 
     def test_is_valid_dm_int16_array_F(self):
-        "Tests is_valid_dm on an int16 array. False expected."
+        "Tests is_valid_dm(*) on an int16 array. False expected."
         D = np.zeros((5, 5), dtype='i')
         self.failUnless(is_valid_dm(D) == False)
 
     def test_is_valid_dm_improper_shape_1D_E(self):
-        "Tests is_valid_dm on a 1D array. Exception expected."
+        "Tests is_valid_dm(*) on a 1D array. Exception expected."
         D = np.zeros((5,), dtype=np.double)
         self.failUnlessRaises(ValueError, is_valid_dm_throw, (D))
 
     def test_is_valid_dm_improper_shape_1D_F(self):
-        "Tests is_valid_dm on a 1D array. False expected."
+        "Tests is_valid_dm(*) on a 1D array. False expected."
         D = np.zeros((5,), dtype=np.double)
         self.failUnless(is_valid_dm(D) == False)
 
     def test_is_valid_dm_improper_shape_3D_E(self):
-        "Tests is_valid_dm on a 3D array. Exception expected."
+        "Tests is_valid_dm(*) on a 3D array. Exception expected."
         D = np.zeros((3,3,3), dtype=np.double)
         self.failUnlessRaises(ValueError, is_valid_dm_throw, (D))
 
     def test_is_valid_dm_improper_shape_3D_F(self):
-        "Tests is_valid_dm on a 3D array. False expected."
+        "Tests is_valid_dm(*) on a 3D array. False expected."
         D = np.zeros((3,3,3), dtype=np.double)
         self.failUnless(is_valid_dm(D) == False)
 
     def test_is_valid_dm_nonzero_diagonal_E(self):
-        "Tests is_valid_dm on a distance matrix with a nonzero diagonal. Exception expected."
+        "Tests is_valid_dm(*) on a distance matrix with a nonzero diagonal. Exception expected."
         y = np.random.rand(10)
         D = squareform(y)
         for i in xrange(0, 5):
@@ -1549,7 +1549,7 @@
         self.failUnlessRaises(ValueError, is_valid_dm_throw, (D))
 
     def test_is_valid_dm_nonzero_diagonal_F(self):
-        "Tests is_valid_dm on a distance matrix with a nonzero diagonal. False expected."
+        "Tests is_valid_dm(*) on a distance matrix with a nonzero diagonal. False expected."
         y = np.random.rand(10)
         D = squareform(y)
         for i in xrange(0, 5):
@@ -1557,45 +1557,117 @@
         self.failUnless(is_valid_dm(D) == False)
 
     def test_is_valid_dm_assymetric_E(self):
-        "Tests is_valid_dm on an assymetric distance matrix. Exception expected."
+        "Tests is_valid_dm(*) on an assymetric distance matrix. Exception expected."
         y = np.random.rand(10)
         D = squareform(y)
         D[1,3] = D[3,1] + 1
         self.failUnlessRaises(ValueError, is_valid_dm_throw, (D))
 
     def test_is_valid_dm_assymetric_F(self):
-        "Tests is_valid_dm on an assymetric distance matrix. False expected."
+        "Tests is_valid_dm(*) on an assymetric distance matrix. False expected."
         y = np.random.rand(10)
         D = squareform(y)
         D[1,3] = D[3,1] + 1
         self.failUnless(is_valid_dm(D) == False)
 
     def test_is_valid_dm_correct_1_by_1(self):
-        "Tests is_valid_dm on a correct 1x1. True expected."
+        "Tests is_valid_dm(*) on a correct 1x1. True expected."
         D = np.zeros((1,1), dtype=np.double)
         self.failUnless(is_valid_dm(D) == True)
 
     def test_is_valid_dm_correct_2_by_2(self):
-        "Tests is_valid_dm on a correct 2x2. True expected."
+        "Tests is_valid_dm(*) on a correct 2x2. True expected."
         y = np.random.rand(1)
         D = squareform(y)
         self.failUnless(is_valid_dm(D) == True)
 
     def test_is_valid_dm_correct_3_by_3(self):
-        "Tests is_valid_dm on a correct 3x3. True expected."
+        "Tests is_valid_dm(*) on a correct 3x3. True expected."
         y = np.random.rand(3)
         D = squareform(y)
         self.failUnless(is_valid_dm(D) == True)
 
     def test_is_valid_dm_correct_4_by_4(self):
-        "Tests is_valid_dm on a correct 4x4. True expected."
+        "Tests is_valid_dm(*) on a correct 4x4. True expected."
         y = np.random.rand(6)
         D = squareform(y)
         self.failUnless(is_valid_dm(D) == True)
 
     def test_is_valid_dm_correct_5_by_5(self):
-        "Tests is_valid_dm on a correct 5x5. True expected."
+        "Tests is_valid_dm(*) on a correct 5x5. True expected."
         y = np.random.rand(10)
         D = squareform(y)
         self.failUnless(is_valid_dm(D) == True)
 
+def is_valid_y_throw(y):
+    return is_valid_y(y, throw=True)
+
+class TestIsValidY(TestCase):
+
+    def test_is_valid_y_int16_array_E(self):
+        "Tests is_valid_y(*) on an int16 array. Exception expected."
+        y = np.zeros((10,), dtype='i')
+        self.failUnlessRaises(TypeError, is_valid_y_throw, (y))
+
+    def test_is_valid_y_int16_array_F(self):
+        "Tests is_valid_y(*) on an int16 array. False expected."
+        y = np.zeros((10,), dtype='i')
+        self.failUnless(is_valid_y(y) == False)
+
+    def test_is_valid_y_improper_shape_2D_E(self):
+        "Tests is_valid_y(*) on a 2D array. Exception expected."
+        y = np.zeros((3,3,), dtype=np.double)
+        self.failUnlessRaises(ValueError, is_valid_y_throw, (y))
+
+    def test_is_valid_y_improper_shape_2D_F(self):
+        "Tests is_valid_y(*) on a 2D array. False expected."
+        y = np.zeros((3,3,), dtype=np.double)
+        self.failUnless(is_valid_y(y) == False)
+
+    def test_is_valid_y_improper_shape_3D_E(self):
+        "Tests is_valid_y(*) on a 3D array. Exception expected."
+        y = np.zeros((3,3,3), dtype=np.double)
+        self.failUnlessRaises(ValueError, is_valid_y_throw, (y))
+
+    def test_is_valid_y_improper_shape_3D_F(self):
+        "Tests is_valid_y(*) on a 3D array. False expected."
+        y = np.zeros((3,3,3), dtype=np.double)
+        self.failUnless(is_valid_y(y) == False)
+
+    def test_is_valid_y_correct_2_by_2(self):
+        "Tests is_valid_y(*) on a correct 2x2 condensed. True expected."
+        y = self.correct_n_by_n(2)
+        self.failUnless(is_valid_y(y) == True)
+
+    def test_is_valid_y_correct_3_by_3(self):
+        "Tests is_valid_y(*) on a correct 3x3 condensed. True expected."
+        y = self.correct_n_by_n(3)
+        self.failUnless(is_valid_y(y) == True)
+
+    def test_is_valid_y_correct_4_by_4(self):
+        "Tests is_valid_y(*) on a correct 4x4 condensed. True expected."
+        y = self.correct_n_by_n(4)
+        self.failUnless(is_valid_y(y) == True)
+
+    def test_is_valid_y_correct_5_by_5(self):
+        "Tests is_valid_y(*) on a correct 5x5 condensed. True expected."
+        y = self.correct_n_by_n(5)
+        self.failUnless(is_valid_y(y) == True)
+
+    def test_is_valid_y_2_100(self):
+        "Tests is_valid_y(*) on 100 improper condensed distance matrices. Expecting exception."
+        a = set([])
+        for n in xrange(2, 16):
+            a.add(n*(n-1)/2)
+        print a
+        for i in xrange(5, 105):
+            if i not in a:
+                self.failUnlessRaises(ValueError, self.bad_y, i)
+
+    def bad_y(self, n):
+        y = np.random.rand(n)
+        return is_valid_y(y, throw=True)
+
+    def correct_n_by_n(self, n):
+        y = np.random.rand(n*(n-1)/2)
+        return y




More information about the Scipy-svn mailing list