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authorgnowgi <nagarjun@gnowledge.org>2012-03-15 16:19:20 +0530
committergnowgi <nagarjun@gnowledge.org>2012-03-15 16:19:20 +0530
commit7a4f561e851fdc7246d804c3abb6748b8a4199a6 (patch)
treed2afc3463fd49625a9be482012f5c3bfcf7c42b9 /gstudio/tests/comparison.py
downloadgnowsys-7a4f561e851fdc7246d804c3abb6748b8a4199a6.tar.gz
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+# Copyright (c) 2011, 2012 Free Software Foundation
+
+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU Affero General Public License as
+# published by the Free Software Foundation, either version 3 of the
+# License, or (at your option) any later version.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+# GNU Affero General Public License for more details.
+
+# You should have received a copy of the GNU Affero General Public License
+# along with this program. If not, see <http://www.gnu.org/licenses/>.
+
+
+# This project incorporates work covered by the following copyright and permission notice:
+
+# Copyright (c) 2009, Julien Fache
+# All rights reserved.
+
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions
+# are met:
+
+# * Redistributions of source code must retain the above copyright
+# notice, this list of conditions and the following disclaimer.
+# * Redistributions in binary form must reproduce the above copyright
+# notice, this list of conditions and the following disclaimer in
+# the documentation and/or other materials provided with the
+# distribution.
+# * Neither the name of the author nor the names of other
+# contributors may be used to endorse or promote products derived
+# from this software without specific prior written permission.
+
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
+# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+# COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
+# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
+# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
+# STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
+# OF THE POSSIBILITY OF SUCH DAMAGE.
+
+# Copyright (c) 2011, 2012 Free Software Foundation
+
+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU Affero General Public License as
+# published by the Free Software Foundation, either version 3 of the
+# License, or (at your option) any later version.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+# GNU Affero General Public License for more details.
+
+# You should have received a copy of the GNU Affero General Public License
+# along with this program. If not, see <http://www.gnu.org/licenses/>.
+
+
+
+"""Test cases for Gstudio's comparison"""
+from django.test import TestCase
+
+from gstudio.models import Nodetype
+from gstudio.comparison import pearson_score
+from gstudio.comparison import VectorBuilder
+from gstudio.comparison import ClusteredModel
+
+
+class ComparisonTestCase(TestCase):
+ """Test cases for comparison tools"""
+
+ def test_pearson_score(self):
+ self.assertEquals(pearson_score([42], [42]), 0.0)
+ self.assertEquals(pearson_score([0, 1, 2], [0, 1, 2]), 0.0)
+ self.assertEquals(pearson_score([0, 1, 3], [0, 1, 2]),
+ 0.051316701949486232)
+ self.assertEquals(pearson_score([0, 1, 2], [0, 1, 3]),
+ 0.051316701949486232)
+
+ def test_clustered_model(self):
+ params = {'title': 'My nodetype 1', 'content': 'My content 1',
+ 'tags': 'gstudio, test', 'slug': 'my-nodetype-1'}
+ Nodetype.objects.create(**params)
+ params = {'title': 'My nodetype 2', 'content': 'My content 2',
+ 'tags': 'gstudio, test', 'slug': 'my-nodetype-2'}
+ Nodetype.objects.create(**params)
+ cm = ClusteredModel(Nodetype.objects.all())
+ self.assertEquals(cm.dataset().values(), ['1', '2'])
+ cm = ClusteredModel(Nodetype.objects.all(),
+ ['title', 'excerpt', 'content'])
+ self.assertEquals(cm.dataset().values(), ['My nodetype 1 My content 1',
+ 'My nodetype 2 My content 2'])
+
+ def test_vector_builder(self):
+ vectors = VectorBuilder(Nodetype.objects.all(),
+ ['title', 'excerpt', 'content'])
+ params = {'title': 'My nodetype 1', 'content':
+ 'This is my first content',
+ 'tags': 'gstudio, test', 'slug': 'my-nodetype-1'}
+ Nodetype.objects.create(**params)
+ params = {'title': 'My nodetype 2', 'content':
+ 'My second nodetype',
+ 'tags': 'gstudio, test', 'slug': 'my-nodetype-2'}
+ Nodetype.objects.create(**params)
+ columns, dataset = vectors()
+ self.assertEquals(columns, ['content', 'This', 'my', 'is', '1',
+ 'second', '2', 'first'])
+ self.assertEquals(dataset.values(), [[1, 1, 1, 1, 1, 0, 0, 1],
+ [0, 0, 0, 0, 0, 1, 1, 0]])