def testRegressionGaia14(self):
ds = testdata.loadSmallDB()
ds = transform(ds, 'fixlength')
to_remove = testdata.TEST_SMALLDB_VARLENGTH
dsr = transform(ds, 'remove', {'descriptorNames': to_remove})
self.compareResults(search(dsr, '1_ethno.wav', 5),
testdata.SMALL_DB_RAW_RESULTS)
dsc = transform(dsr, 'cleaner')
self.compareResults(search(dsc, '1_ethno.wav', 5),
testdata.SMALL_DB_CLEAN_RESULTS)
dsn = transform(dsc, 'normalize')
self.compareResults(search(dsn, '1_ethno.wav', 5),
testdata.SMALL_DB_NORM_RESULTS)
dspca = transform(dsn, 'pca', {
'resultName': 'pca30',
'dimension': 30,
'descriptorNames': '*'
})
self.compareResults(search(dspca, '1_ethno.wav', 5),
testdata.SMALL_DB_PCA_RESULTS)
def testOwnershipIssues(self):
# 1: layout of a temp point becomes invalid
Point().layout().descriptorNames()
# 2: sample point of a dataset becomes invalid
ds = testdata.loadSmallDB()
p = ds.samplePoint()
del ds
p.name()
def testOwnershipIssues(self):
# 1: layout of a temp point becomes invalid
Point().layout().descriptorNames()
# 2: sample point of a dataset becomes invalid
ds = testdata.loadSmallDB()
p = ds.samplePoint()
del ds
p.name()
def testRegressionGaia14(self):
ds = testdata.loadSmallDB()
ds = transform(ds, 'fixlength')
to_remove = testdata.TEST_SMALLDB_VARLENGTH
dsr = transform(ds, 'remove', { 'descriptorNames': to_remove })
self.compareResults(search(dsr, '1_ethno.wav', 5), testdata.SMALL_DB_RAW_RESULTS)
dsc = transform(dsr, 'cleaner')
self.compareResults(search(dsc, '1_ethno.wav', 5), testdata.SMALL_DB_CLEAN_RESULTS)
dsn = transform(dsc, 'normalize')
self.compareResults(search(dsn, '1_ethno.wav', 5), testdata.SMALL_DB_NORM_RESULTS)
dspca = transform(dsn, 'pca', { 'resultName': 'pca30',
'dimension': 30,
'descriptorNames': '*' })
self.compareResults(search(dspca, '1_ethno.wav', 5), testdata.SMALL_DB_PCA_RESULTS)