| 1 | import unittest2 as unittest |
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| 2 | import numpy as np |
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| 3 | |
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| 4 | from vsm.viewer.labeleddata import * |
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| 5 | |
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| 6 | |
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| 7 | class TestLabeleddata(unittest.TestCase): |
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| 8 | |
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| 9 | def setUp(self): |
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| 10 | |
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| 11 | words = ['row', 'row', 'row', 'your', 'boat', 'gently', 'down', 'the', |
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| 12 | 'stream', 'merrily', 'merrily', 'merrily', 'merrily', 'life', |
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| 13 | 'is', 'but', 'a', 'dream'] |
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| 14 | values = [np.random.random() for t in words] |
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| 15 | d = [('i', np.array(words).dtype), |
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| 16 | ('value', np.array(values).dtype)] |
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| 17 | self.v = np.array(zip(words, values), dtype=d) |
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| 18 | |
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| 19 | |
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| 20 | |
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| 21 | def test_LabeledColumn(self): |
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| 22 | |
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| 23 | arr = self.v.view(LabeledColumn) |
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| 24 | arr.subcol_headers = ['Word', 'Value'] |
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| 25 | arr.col_header = 'Song lets make this longer than subcol headers' |
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| 26 | arr.col_len = 10 |
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| 27 | arr1 = self.v.view(LabeledColumn) |
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| 28 | |
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| 29 | self.assertTrue(type(arr.__str__()) == unicode) |
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| 30 | self.assertTrue(sum(arr.subcol_widths) <= arr.col_width) |
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| 31 | self.assertEqual(arr.shape[0], arr1.col_len) |
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| 32 | self.assertFalse(arr1.col_header) |
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| 33 | self.assertFalse(arr1.subcol_headers) |
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| 34 | |
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| 35 | |
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| 36 | def test_DataTable(self): |
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| 37 | |
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| 38 | v = LabeledColumn(self.v) |
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| 39 | v.subcol_widths = [30, 20] |
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| 40 | v.col_len = 10 |
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| 41 | t = [] |
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| 42 | for i in xrange(5): |
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| 43 | t.append(v.copy()) |
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| 44 | t[i].col_header = 'Iteration ' + str(i) |
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| 45 | |
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| 46 | schc = ['Topic', 'Word'] |
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| 47 | schf = ['Word', 'Value'] |
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| 48 | t = DataTable(t, 'Song', subcolhdr_compact=schc, subcolhdr_full=schf) |
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| 49 | |
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| 50 | self.assertTrue(type(t.__str__()) == unicode) |
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| 51 | self.assertTrue('Song', t.table_header) |
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| 52 | |
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| 53 | t.compact_view = False |
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| 54 | self.assertTrue(type(t.__str__()) == unicode) |
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| 55 | self.assertTrue('Song', t.table_header) |
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| 56 | |
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| 57 | |
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| 58 | |
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| 59 | def test_IndexedSymmArray(self): |
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| 60 | |
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| 61 | from vsm.corpus.util.corpusbuilders import random_corpus |
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| 62 | from vsm.model.ldacgsseq import LdaCgsSeq |
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| 63 | from vsm.viewer.ldacgsviewer import LdaCgsViewer |
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| 64 | |
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| 65 | c = random_corpus(50000, 1000, 0, 50) |
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| 66 | m = LdaCgsSeq(c, 'document', K=20) |
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| 67 | viewer = LdaCgsViewer(c, m) |
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| 68 | |
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| 69 | li = ['0', '1', '10'] |
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| 70 | isa = viewer.dismat_top(li) |
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| 71 | |
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| 72 | self.assertEqual(isa.shape[0], len(li)) |
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| 73 | |
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| 74 | |
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| 75 | |
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| 76 | |
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| 77 | #Define and run test suite |
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| 78 | suite = unittest.TestLoader().loadTestsFromTestCase(TestLabeleddata) |
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| 79 | unittest.TextTestRunner(verbosity=2).run(suite) |
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