def test_save(self): try: filename = 'temp.tiff' self.r1.save(filename) r2 = Raster(filename) self.assertEqual(r2.get_dtype(), self.r1.get_dtype()) self.assertEqual(r2.getBandsCount(), self.r1.getBandsCount()) for i in range(r2.getBandsCount()): assert_array_equal(r2.getBand(i+1), self.r1.getBand(i+1)) finally: os.remove(filename)
def test_save(self): try: filename = 'temp.tiff' self.r1.save(filename) r2 = Raster(filename) self.assertEqual(r2.get_dtype(), self.r1.get_dtype()) self.assertEqual(r2.getBandsCount(), self.r1.getBandsCount()) for i in range(r2.getBandsCount()): assert_array_equal(r2.getBand(i + 1), self.r1.getBand(i + 1)) finally: os.remove(filename)
class TestRaster (unittest.TestCase): def setUp(self): self.r1 = Raster('examples/multifact.tif') self.r2 = Raster('examples/sites.tif') self.r3 = Raster('examples/two_band.tif') # r1 data1 = np.array( [ [1,1,3], [3,2,1], [0,3,1] ]) # r2 data2 = np.array( [ [1,2,1], [1,2,1], [0,1,2] ]) mask = [ [False, False, False], [False, False, False], [False, False, False] ] self.data1 = ma.array(data=data1, mask=mask) self.data2 = ma.array(data=data2, mask=mask) def test_RasterInit(self): self.assertEqual(self.r1.getBandsCount(), 1) band = self.r1.getBand(1) shape = band.shape x = self.r1.getXSize() y = self.r1.getYSize() self.assertEqual(shape, (x,y)) self.assertEqual(self.r2.getBandsCount(), 1) band = self.r2.getBand(1) assert_array_equal(band, self.data2) self.assertTrue(self.r1.geoDataMatch(self.r2)) self.assertTrue(self.r1.isMetricProj()) def test_getBandStat(self): stat = self.r1.getBandStat(1) self.assertAlmostEqual(stat['mean'], 15.0/9) self.assertAlmostEqual(stat['std'], np.sqrt(10.0/9)) def test_normalize(self): multifact = [ [1,1,3], [3,2,1], [0,3,1], ] # Normalize using std and mean r1 = Raster('examples/multifact.tif') r1.normalize() r1.denormalize() assert_array_equal(r1.getBand(1), multifact) # Normalize using min and max r1 = Raster('examples/multifact.tif') r1.normalize(mode='maxmin') r1.denormalize() assert_array_equal(r1.getBand(1), multifact) # Two normalization procedures r1 = Raster('examples/multifact.tif') r1.normalize() r1.normalize(mode='maxmin') r1.denormalize() assert_array_equal(r1.getBand(1), multifact) r1 = Raster('examples/multifact.tif') r1.normalize(mode='maxmin') r1.normalize() r1.denormalize() assert_array_equal(r1.getBand(1), multifact) def test_getNeighbours(self): neighbours = self.r2.getNeighbours(row=1,col=0, size=0) self.assertEqual(neighbours, [[1]]) neighbours = self.r2.getNeighbours(row=1,col=1, size=1) assert_array_equal(neighbours, [self.data2]) neighbours = self.r3.getNeighbours(row=1,col=1, size=1) assert_array_equal(neighbours, [self.data2, self.data1]) # Check pixel on the raster bound and nonzero neighbour size self.assertRaises(ProviderError, self.r2.getNeighbours, col=1, row=0, size=1) self.assertRaises(ProviderError, self.r2.getNeighbours, col=1, row=1, size=2) def test_geodata(self): geodata = self.r1.getGeodata() self.r1.setGeoData(geodata) geodata['xSize'] = geodata['xSize'] + 10 self.assertRaises(ProviderError, self.r1.setGeoData, geodata=geodata) def test_save(self): try: filename = 'temp.tiff' self.r1.save(filename) r2 = Raster(filename) self.assertEqual(r2.get_dtype(), self.r1.get_dtype()) self.assertEqual(r2.getBandsCount(), self.r1.getBandsCount()) for i in range(r2.getBandsCount()): assert_array_equal(r2.getBand(i+1), self.r1.getBand(i+1)) finally: os.remove(filename)
def test_create(self): raster = Raster() raster.create([self.data1], geodata=self.r1.getGeodata()) self.assertTrue(raster.geoDataMatch(self.r1)) self.assertEqual(raster.getBandsCount(), 1) self.assertEqual(set(raster.getBandGradation(1)), set([0, 1, 2, 3]))
class TestRaster(unittest.TestCase): def setUp(self): self.r1 = Raster('examples/multifact.tif') self.r2 = Raster('examples/sites.tif') self.r3 = Raster('examples/two_band.tif') # r1 data1 = np.array([[1, 1, 3], [3, 2, 1], [0, 3, 1]]) # r2 data2 = np.array([[1, 2, 1], [1, 2, 1], [0, 1, 2]]) mask = [[False, False, False], [False, False, False], [False, False, False]] self.data1 = ma.array(data=data1, mask=mask) self.data2 = ma.array(data=data2, mask=mask) def test_RasterInit(self): self.assertEqual(self.r1.getBandsCount(), 1) band = self.r1.getBand(1) shape = band.shape x = self.r1.getXSize() y = self.r1.getYSize() self.assertEqual(shape, (x, y)) self.assertEqual(self.r2.getBandsCount(), 1) band = self.r2.getBand(1) assert_array_equal(band, self.data2) self.assertTrue(self.r1.geoDataMatch(self.r2)) self.assertTrue(self.r1.isMetricProj()) def test_create(self): raster = Raster() raster.create([self.data1], geodata=self.r1.getGeodata()) self.assertTrue(raster.geoDataMatch(self.r1)) self.assertEqual(raster.getBandsCount(), 1) self.assertEqual(set(raster.getBandGradation(1)), set([0, 1, 2, 3])) def test_roundBands(self): rast = Raster('examples/multifact.tif') rast.bands = rast.bands * 0.1 rast.roundBands() answer = [[[ 0, 0, 0, ], [0, 0, 0], [0, 0, 0]]] assert_array_equal(answer, rast.bands) rast = Raster('examples/multifact.tif') rast.bands = rast.bands * 1.1 rast.roundBands(decimals=1) answer = np.array([[[1.1, 1.1, 3.3], [3.3, 2.2, 1.1], [0.0, 3.3, 1.1]]]) assert_array_equal(answer, rast.bands) def test_isContinues(self): rast = Raster('examples/multifact.tif') self.assertFalse(rast.isCountinues(bandNo=1)) rast = Raster('examples/dist_roads.tif') self.assertTrue(rast.isCountinues(bandNo=1)) def test_getBandStat(self): stat = self.r1.getBandStat(1) self.assertAlmostEqual(stat['mean'], 15.0 / 9) self.assertAlmostEqual(stat['std'], np.sqrt(10.0 / 9)) def test_normalize(self): multifact = [ [1, 1, 3], [3, 2, 1], [0, 3, 1], ] # Normalize using std and mean r1 = Raster('examples/multifact.tif') r1.normalize() r1.denormalize() assert_array_equal(r1.getBand(1), multifact) # Normalize using min and max r1 = Raster('examples/multifact.tif') r1.normalize(mode='maxmin') r1.denormalize() assert_array_equal(r1.getBand(1), multifact) # Two normalization procedures r1 = Raster('examples/multifact.tif') r1.normalize() r1.normalize(mode='maxmin') r1.denormalize() assert_array_equal(r1.getBand(1), multifact) r1 = Raster('examples/multifact.tif') r1.normalize(mode='maxmin') r1.normalize() r1.denormalize() assert_array_equal(r1.getBand(1), multifact) def test_getNeighbours(self): neighbours = self.r2.getNeighbours(row=1, col=0, size=0) self.assertEqual(neighbours, [[1]]) neighbours = self.r2.getNeighbours(row=1, col=1, size=1) assert_array_equal(neighbours, [self.data2]) neighbours = self.r3.getNeighbours(row=1, col=1, size=1) assert_array_equal(neighbours, [self.data2, self.data1]) # Check pixel on the raster bound and nonzero neighbour size self.assertRaises(ProviderError, self.r2.getNeighbours, col=1, row=0, size=1) self.assertRaises(ProviderError, self.r2.getNeighbours, col=1, row=1, size=2) def test_geodata(self): geodata = self.r1.getGeodata() self.r1.setGeoData(geodata) geodata['xSize'] = geodata['xSize'] + 10 self.assertRaises(ProviderError, self.r1.setGeoData, geodata=geodata) self.assertTrue(self.r1.geoDataMatch(self.r1)) self.assertTrue( self.r1.geoDataMatch(raster=None, geodata=self.r1.getGeodata())) self.assertTrue(self.r1.geoTransformMatch(self.r1)) self.assertTrue( self.r1.geoTransformMatch(raster=None, geodata=self.r1.getGeodata())) def test_save(self): try: filename = 'temp.tiff' self.r1.save(filename) r2 = Raster(filename) self.assertEqual(r2.get_dtype(), self.r1.get_dtype()) self.assertEqual(r2.getBandsCount(), self.r1.getBandsCount()) for i in range(r2.getBandsCount()): assert_array_equal(r2.getBand(i + 1), self.r1.getBand(i + 1)) finally: os.remove(filename) def test_getBandGradation(self): self.assertEqual(set(self.r1.getBandGradation(1)), set([0, 1, 2, 3]))