Fixed #33577 -- Confirmed support for GDAL 3.4.
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@ -22,6 +22,7 @@ if lib_path:
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elif os.name == "nt":
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# Windows NT shared libraries
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lib_names = [
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"gdal304",
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"gdal303",
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"gdal302",
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"gdal301",
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@ -35,6 +36,7 @@ elif os.name == "posix":
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lib_names = [
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"gdal",
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"GDAL",
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"gdal3.4.0",
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"gdal3.3.0",
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"gdal3.2.0",
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"gdal3.1.0",
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@ -5,16 +5,16 @@ Installing Geospatial libraries
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GeoDjango uses and/or provides interfaces for the following open source
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geospatial libraries:
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======================== ==================================== ================================ =================================
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======================== ==================================== ================================ ======================================
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Program Description Required Supported Versions
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======================== ==================================== ================================ =================================
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======================== ==================================== ================================ ======================================
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:doc:`GEOS <../geos>` Geometry Engine Open Source Yes 3.10, 3.9, 3.8, 3.7, 3.6
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`PROJ`_ Cartographic Projections library Yes (PostgreSQL and SQLite only) 8.x, 7.x, 6.x, 5.x, 4.x
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:doc:`GDAL <../gdal>` Geospatial Data Abstraction Library Yes 3.3, 3.2, 3.1, 3.0, 2.4, 2.3, 2.2
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:doc:`GDAL <../gdal>` Geospatial Data Abstraction Library Yes 3.4, 3.3, 3.2, 3.1, 3.0, 2.4, 2.3, 2.2
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:doc:`GeoIP <../geoip2>` IP-based geolocation library No 2
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`PostGIS`__ Spatial extensions for PostgreSQL Yes (PostgreSQL only) 3.2, 3.1, 3.0, 2.5, 2.4
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`SpatiaLite`__ Spatial extensions for SQLite Yes (SQLite only) 5.0, 4.3
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======================== ==================================== ================================ =================================
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======================== ==================================== ================================ ======================================
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Note that older or more recent versions of these libraries *may* also work
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totally fine with GeoDjango. Your mileage may vary.
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@ -33,6 +33,7 @@ totally fine with GeoDjango. Your mileage may vary.
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GDAL 3.1.0 2020-05-07
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GDAL 3.2.0 2020-11-02
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GDAL 3.3.0 2021-05-03
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GDAL 3.4.0 2021-11-04
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PostGIS 2.4.0 2017-09-30
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PostGIS 2.5.0 2018-09-23
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PostGIS 3.0.0 2019-10-20
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@ -807,8 +807,13 @@ class GDALBandTests(SimpleTestCase):
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band = rs.bands[0]
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# Setting attributes in write mode raises exception in the _flush method
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with self.assertRaises(GDALException):
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setattr(band, "nodata_value", 10)
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try:
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with self.assertRaises(GDALException):
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setattr(band, "nodata_value", 10)
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finally:
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pam_file = self.rs_path + ".aux.xml"
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if os.path.isfile(pam_file):
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os.remove(pam_file)
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def test_band_data_setters(self):
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# Create in-memory raster and get band
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@ -143,8 +143,8 @@ class OGRInspectTest(SimpleTestCase):
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# The ordering of model fields might vary depending on several factors
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# (version of GDAL, etc.).
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if connection.vendor == "sqlite":
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# SpatiaLite introspection is somewhat lacking (#29461).
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if connection.vendor == "sqlite" and GDAL_VERSION < (3, 4):
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# SpatiaLite introspection is somewhat lacking on GDAL < 3.4 (#29461).
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self.assertIn(" f_decimal = models.CharField(max_length=0)", model_def)
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else:
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self.assertIn(
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@ -156,7 +156,7 @@ class OGRInspectTest(SimpleTestCase):
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# Probably a bug between GDAL and MariaDB on time fields.
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self.assertIn(" f_datetime = models.DateTimeField()", model_def)
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self.assertIn(" f_time = models.TimeField()", model_def)
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if connection.vendor == "sqlite":
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if connection.vendor == "sqlite" and GDAL_VERSION < (3, 4):
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self.assertIn(" f_float = models.CharField(max_length=0)", model_def)
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else:
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self.assertIn(" f_float = models.FloatField()", model_def)
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