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test_vrnode.py
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test_vrnode.py
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import unittest
import pathlib
import xmlrunner
from bagPy import *
import bagMetadataSamples, testUtils
# define constants used in multiple tests
datapath = str(pathlib.Path(__file__).parent.absolute()) + "/../examples/sample-data"
chunkSize = 100
compressionLevel = 6
class TestVRNode(unittest.TestCase):
def testCreateOpen(self):
tmpBagFile = testUtils.RandomFileGuard("name")
# Check dataset was created successfully.
metadata = Metadata()
metadata.loadFromBuffer(bagMetadataSamples.kMetadataXML)
dataset = Dataset.create(tmpBagFile.getName(), metadata,
chunkSize, compressionLevel)
self.assertIsNotNone(dataset)
dataset.createVR(chunkSize, compressionLevel, True)
# Check that the optional variable resolution node layer exists.
vrNode = dataset.getVRNode()
self.assertIsNotNone(vrNode)
vrNodeDescriptor = vrNode.getDescriptor()
vrNode.writeAttributes()
# Set some attributes to save.
kExpectedMinHypStr = 10.1
kExpectedMaxHypStr = 20.2
vrNodeDescriptor.setMinMaxHypStrength(kExpectedMinHypStr, kExpectedMaxHypStr)
kExpectedMinNumHyp = 100
kExpectedMaxNumHyp = 200
vrNodeDescriptor.setMinMaxNumHypotheses(kExpectedMinNumHyp, kExpectedMaxNumHyp)
kExpectedMinNSamples = 1000
kExpectedMaxNSamples = 2000
vrNodeDescriptor.setMinMaxNSamples(kExpectedMinNSamples, kExpectedMaxNSamples)
# Read the attributes back
minHypStr, maxHypStr = vrNodeDescriptor.getMinMaxHypStrength()
self.assertAlmostEqual(kExpectedMinHypStr, minHypStr, places=5)
self.assertAlmostEqual(kExpectedMaxHypStr, maxHypStr, places=5)
minNumHyp, maxNumHyp = vrNodeDescriptor.getMinMaxNumHypotheses()
self.assertEqual(kExpectedMinNumHyp, minNumHyp)
self.assertEqual(kExpectedMaxNumHyp, maxNumHyp)
minNSamples, maxNSamples = vrNodeDescriptor.getMinMaxNSamples()
self.assertEqual(kExpectedMinNSamples, minNSamples)
self.assertEqual(kExpectedMaxNSamples, maxNSamples)
# Write attributes to file.
vrNode.writeAttributes()
# Force a close.
del dataset
# test open
dataset = Dataset.openDataset(tmpBagFile.getName(), BAG_OPEN_READONLY)
# Check that the optional variable resolution node layer exists.
vrNode = dataset.getVRNode()
self.assertIsNotNone(vrNode)
vrNodeDescriptor = vrNode.getDescriptor()
# Read the attributes back.
minHypStr, maxHypStr = vrNodeDescriptor.getMinMaxHypStrength()
self.assertAlmostEqual(kExpectedMinHypStr, minHypStr, places=5)
self.assertAlmostEqual(kExpectedMaxHypStr, maxHypStr, places=5)
minNumHyp, maxNumHyp = vrNodeDescriptor.getMinMaxNumHypotheses()
self.assertEqual(kExpectedMinNumHyp, minNumHyp)
self.assertEqual(kExpectedMaxNumHyp, maxNumHyp)
minNSamples, maxNSamples = vrNodeDescriptor.getMinMaxNSamples()
self.assertEqual(kExpectedMinNSamples, minNSamples)
self.assertEqual(kExpectedMaxNSamples, maxNSamples)
# Force a close.
del dataset
def testWriteRead(self):
tmpBagFile = testUtils.RandomFileGuard("name")
# Check dataset was created successfully.
metadata = Metadata()
metadata.loadFromBuffer(bagMetadataSamples.kMetadataXML)
dataset = Dataset.create(tmpBagFile.getName(), metadata,
chunkSize, compressionLevel)
self.assertIsNotNone(dataset)
dataset.createVR(chunkSize, compressionLevel, True)
# Check the optional variable resolution node layer exists.
vrNode = dataset.getVRNode()
self.assertIsNotNone(vrNode)
# Write one record.
kExpectedItem0 = BagVRNodeItem(123.456, 42, 1701)
kRowStart = 0 # not used
kColumnStart = 0
kRowEnd = 0 # not used
kColumnEnd = 0
buffer = VRNodeLayerItems((kExpectedItem0,)) # LayerItem((kExpectedItem0,))
vrNode.write(kRowStart, kColumnStart, kRowEnd, kColumnEnd, buffer)
# Read the record back.
buffer = vrNode.read(kRowStart, kColumnStart, kRowEnd, kColumnEnd)
self.assertIsNotNone(buffer)
result = buffer.asVRNodeItems()
self.assertEqual(len(result), 1)
# Check the expected value of BagVRNodeItem::hyp_strength.
self.assertEqual(result[0].hyp_strength, kExpectedItem0.hyp_strength)
# Check the expected value of BagVRNodeItem::num_hypotheses.
self.assertEqual(result[0].num_hypotheses, kExpectedItem0.num_hypotheses)
# Check the expected value of BagVRNodeItem::n_samples.
self.assertEqual(result[0].n_samples, kExpectedItem0.n_samples)
# Force a close.
del dataset
if __name__ == '__main__':
unittest.main(
testRunner=xmlrunner.XMLTestRunner(output='test-reports'),
failfast=False, buffer=False, catchbreak=False
)