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282 lines
11 KiB
Python
282 lines
11 KiB
Python
import os
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import unittest
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from unittest import skipUnless
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from django.contrib.gis.gdal import HAS_GDAL
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from ..test_data import TEST_DATA, TestDS, get_ds_file
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if HAS_GDAL:
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from django.contrib.gis.gdal import DataSource, Envelope, OGRGeometry, GDALException, OGRIndexError, GDAL_VERSION
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from django.contrib.gis.gdal.field import OFTReal, OFTInteger, OFTString
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# List of acceptable data sources.
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ds_list = (
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TestDS(
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'test_point', nfeat=5, nfld=3, geom='POINT', gtype=1, driver='ESRI Shapefile',
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fields={'dbl': OFTReal, 'int': OFTInteger, 'str': OFTString},
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extent=(-1.35011, 0.166623, -0.524093, 0.824508), # Got extent from QGIS
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srs_wkt=(
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'GEOGCS["GCS_WGS_1984",DATUM["WGS_1984",SPHEROID["WGS_1984",'
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'6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["Degree",'
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'0.017453292519943295]]'
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),
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field_values={
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'dbl': [float(i) for i in range(1, 6)],
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'int': list(range(1, 6)),
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'str': [str(i) for i in range(1, 6)],
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},
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fids=range(5)
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),
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TestDS(
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'test_vrt', ext='vrt', nfeat=3, nfld=3, geom='POINT', gtype='Point25D',
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driver='OGR_VRT' if GDAL_VERSION >= (2, 0) else 'VRT',
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fields={
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'POINT_X': OFTString,
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'POINT_Y': OFTString,
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'NUM': OFTString,
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}, # VRT uses CSV, which all types are OFTString.
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extent=(1.0, 2.0, 100.0, 523.5), # Min/Max from CSV
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field_values={
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'POINT_X': ['1.0', '5.0', '100.0'],
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'POINT_Y': ['2.0', '23.0', '523.5'],
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'NUM': ['5', '17', '23'],
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},
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fids=range(1, 4)
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),
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TestDS(
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'test_poly', nfeat=3, nfld=3, geom='POLYGON', gtype=3,
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driver='ESRI Shapefile',
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fields={'float': OFTReal, 'int': OFTInteger, 'str': OFTString},
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extent=(-1.01513, -0.558245, 0.161876, 0.839637), # Got extent from QGIS
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srs_wkt=(
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'GEOGCS["GCS_WGS_1984",DATUM["WGS_1984",SPHEROID["WGS_1984",'
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'6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["Degree",'
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'0.017453292519943295]]'
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),
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)
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)
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bad_ds = (TestDS('foo'),)
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@skipUnless(HAS_GDAL, "GDAL is required")
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class DataSourceTest(unittest.TestCase):
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def test01_valid_shp(self):
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"Testing valid SHP Data Source files."
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for source in ds_list:
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# Loading up the data source
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ds = DataSource(source.ds)
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# Making sure the layer count is what's expected (only 1 layer in a SHP file)
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self.assertEqual(1, len(ds))
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# Making sure GetName works
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self.assertEqual(source.ds, ds.name)
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# Making sure the driver name matches up
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self.assertEqual(source.driver, str(ds.driver))
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# Making sure indexing works
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try:
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ds[len(ds)]
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except OGRIndexError:
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pass
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else:
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self.fail('Expected an IndexError!')
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def test02_invalid_shp(self):
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"Testing invalid SHP files for the Data Source."
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for source in bad_ds:
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with self.assertRaises(GDALException):
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DataSource(source.ds)
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def test03a_layers(self):
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"Testing Data Source Layers."
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for source in ds_list:
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ds = DataSource(source.ds)
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# Incrementing through each layer, this tests DataSource.__iter__
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for layer in ds:
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# Making sure we get the number of features we expect
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self.assertEqual(len(layer), source.nfeat)
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# Making sure we get the number of fields we expect
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self.assertEqual(source.nfld, layer.num_fields)
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self.assertEqual(source.nfld, len(layer.fields))
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# Testing the layer's extent (an Envelope), and its properties
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if source.driver == 'VRT' and (GDAL_VERSION >= (1, 7, 0) and GDAL_VERSION < (1, 7, 3)):
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# There's a known GDAL regression with retrieving the extent
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# of a VRT layer in versions 1.7.0-1.7.2:
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# http://trac.osgeo.org/gdal/ticket/3783
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pass
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else:
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self.assertIsInstance(layer.extent, Envelope)
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self.assertAlmostEqual(source.extent[0], layer.extent.min_x, 5)
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self.assertAlmostEqual(source.extent[1], layer.extent.min_y, 5)
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self.assertAlmostEqual(source.extent[2], layer.extent.max_x, 5)
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self.assertAlmostEqual(source.extent[3], layer.extent.max_y, 5)
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# Now checking the field names.
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flds = layer.fields
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for f in flds:
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self.assertIn(f, source.fields)
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# Negative FIDs are not allowed.
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with self.assertRaises(OGRIndexError):
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layer.__getitem__(-1)
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with self.assertRaises(OGRIndexError):
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layer.__getitem__(50000)
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if hasattr(source, 'field_values'):
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fld_names = source.field_values.keys()
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# Testing `Layer.get_fields` (which uses Layer.__iter__)
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for fld_name in fld_names:
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self.assertEqual(source.field_values[fld_name], layer.get_fields(fld_name))
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# Testing `Layer.__getitem__`.
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for i, fid in enumerate(source.fids):
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feat = layer[fid]
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self.assertEqual(fid, feat.fid)
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# Maybe this should be in the test below, but we might as well test
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# the feature values here while in this loop.
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for fld_name in fld_names:
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self.assertEqual(source.field_values[fld_name][i], feat.get(fld_name))
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def test03b_layer_slice(self):
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"Test indexing and slicing on Layers."
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# Using the first data-source because the same slice
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# can be used for both the layer and the control values.
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source = ds_list[0]
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ds = DataSource(source.ds)
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sl = slice(1, 3)
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feats = ds[0][sl]
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for fld_name in ds[0].fields:
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test_vals = [feat.get(fld_name) for feat in feats]
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control_vals = source.field_values[fld_name][sl]
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self.assertEqual(control_vals, test_vals)
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def test03c_layer_references(self):
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"""
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Ensure OGR objects keep references to the objects they belong to.
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"""
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source = ds_list[0]
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# See ticket #9448.
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def get_layer():
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# This DataSource object is not accessible outside this
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# scope. However, a reference should still be kept alive
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# on the `Layer` returned.
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ds = DataSource(source.ds)
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return ds[0]
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# Making sure we can call OGR routines on the Layer returned.
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lyr = get_layer()
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self.assertEqual(source.nfeat, len(lyr))
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self.assertEqual(source.gtype, lyr.geom_type.num)
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# Same issue for Feature/Field objects, see #18640
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self.assertEqual(str(lyr[0]['str']), "1")
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def test04_features(self):
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"Testing Data Source Features."
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for source in ds_list:
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ds = DataSource(source.ds)
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# Incrementing through each layer
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for layer in ds:
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# Incrementing through each feature in the layer
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for feat in layer:
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# Making sure the number of fields, and the geometry type
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# are what's expected.
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self.assertEqual(source.nfld, len(list(feat)))
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self.assertEqual(source.gtype, feat.geom_type)
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# Making sure the fields match to an appropriate OFT type.
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for k, v in source.fields.items():
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# Making sure we get the proper OGR Field instance, using
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# a string value index for the feature.
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self.assertIsInstance(feat[k], v)
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# Testing Feature.__iter__
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for fld in feat:
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self.assertIn(fld.name, source.fields.keys())
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def test05_geometries(self):
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"Testing Geometries from Data Source Features."
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for source in ds_list:
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ds = DataSource(source.ds)
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# Incrementing through each layer and feature.
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for layer in ds:
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for feat in layer:
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g = feat.geom
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# Making sure we get the right Geometry name & type
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self.assertEqual(source.geom, g.geom_name)
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self.assertEqual(source.gtype, g.geom_type)
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# Making sure the SpatialReference is as expected.
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if hasattr(source, 'srs_wkt'):
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self.assertEqual(
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source.srs_wkt,
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# Depending on lib versions, WGS_84 might be WGS_1984
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g.srs.wkt.replace('SPHEROID["WGS_84"', 'SPHEROID["WGS_1984"')
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)
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def test06_spatial_filter(self):
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"Testing the Layer.spatial_filter property."
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ds = DataSource(get_ds_file('cities', 'shp'))
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lyr = ds[0]
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# When not set, it should be None.
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self.assertIsNone(lyr.spatial_filter)
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# Must be set a/an OGRGeometry or 4-tuple.
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with self.assertRaises(TypeError):
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lyr._set_spatial_filter('foo')
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# Setting the spatial filter with a tuple/list with the extent of
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# a buffer centering around Pueblo.
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with self.assertRaises(ValueError):
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lyr._set_spatial_filter(list(range(5)))
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filter_extent = (-105.609252, 37.255001, -103.609252, 39.255001)
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lyr.spatial_filter = (-105.609252, 37.255001, -103.609252, 39.255001)
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self.assertEqual(OGRGeometry.from_bbox(filter_extent), lyr.spatial_filter)
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feats = [feat for feat in lyr]
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self.assertEqual(1, len(feats))
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self.assertEqual('Pueblo', feats[0].get('Name'))
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# Setting the spatial filter with an OGRGeometry for buffer centering
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# around Houston.
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filter_geom = OGRGeometry(
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'POLYGON((-96.363151 28.763374,-94.363151 28.763374,'
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'-94.363151 30.763374,-96.363151 30.763374,-96.363151 28.763374))'
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)
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lyr.spatial_filter = filter_geom
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self.assertEqual(filter_geom, lyr.spatial_filter)
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feats = [feat for feat in lyr]
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self.assertEqual(1, len(feats))
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self.assertEqual('Houston', feats[0].get('Name'))
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# Clearing the spatial filter by setting it to None. Now
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# should indicate that there are 3 features in the Layer.
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lyr.spatial_filter = None
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self.assertEqual(3, len(lyr))
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def test07_integer_overflow(self):
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"Testing that OFTReal fields, treated as OFTInteger, do not overflow."
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# Using *.dbf from Census 2010 TIGER Shapefile for Texas,
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# which has land area ('ALAND10') stored in a Real field
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# with no precision.
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ds = DataSource(os.path.join(TEST_DATA, 'texas.dbf'))
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feat = ds[0][0]
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# Reference value obtained using `ogrinfo`.
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self.assertEqual(676586997978, feat.get('ALAND10'))
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