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Fixed integer overflows that occurred when OFTReal fields were treated as OFTInteger.

git-svn-id: http://code.djangoproject.com/svn/django/trunk@15946 bcc190cf-cafb-0310-a4f2-bffc1f526a37
This commit is contained in:
Justin Bronn 2011-03-30 16:56:53 +00:00
parent 83246ca8b9
commit abab0742d0
3 changed files with 25 additions and 6 deletions

View File

@ -20,7 +20,7 @@ class Field(GDALBase):
# Setting the feature pointer and index.
self._feat = feat
self._index = index
# Getting the pointer for this field.
fld_ptr = capi.get_feat_field_defn(feat, index)
if not fld_ptr:
@ -33,6 +33,7 @@ class Field(GDALBase):
# OFTReal with no precision should be an OFTInteger.
if isinstance(self, OFTReal) and self.precision == 0:
self.__class__ = OFTInteger
self._double = True
def __str__(self):
"Returns the string representation of the Field."
@ -95,10 +96,17 @@ class Field(GDALBase):
### The Field sub-classes for each OGR Field type. ###
class OFTInteger(Field):
_double = False
@property
def value(self):
"Returns an integer contained in this field."
return self.as_int()
if self._double:
# If this is really from an OFTReal field with no precision,
# read as a double and cast as Python int (to prevent overflow).
return int(self.as_double())
else:
return self.as_int()
@property
def type(self):
@ -137,7 +145,7 @@ class OFTDateTime(Field):
"Returns a Python `datetime` object for this OFTDateTime field."
# TODO: Adapt timezone information.
# See http://lists.maptools.org/pipermail/gdal-dev/2006-February/007990.html
# The `tz` variable has values of: 0=unknown, 1=localtime (ambiguous),
# The `tz` variable has values of: 0=unknown, 1=localtime (ambiguous),
# 100=GMT, 104=GMT+1, 80=GMT-5, etc.
try:
yy, mm, dd, hh, mn, ss, tz = self.as_datetime()

View File

@ -1,7 +1,8 @@
import os, os.path, unittest
import os
import unittest
from django.contrib.gis.gdal import DataSource, Envelope, OGRGeometry, OGRException, OGRIndexError, GDAL_VERSION
from django.contrib.gis.gdal.field import OFTReal, OFTInteger, OFTString
from django.contrib.gis.geometry.test_data import get_ds_file, TestDS
from django.contrib.gis.geometry.test_data import get_ds_file, TestDS, TEST_DATA
# List of acceptable data sources.
ds_list = (TestDS('test_point', nfeat=5, nfld=3, geom='POINT', gtype=1, driver='ESRI Shapefile',
@ -72,7 +73,7 @@ class DataSourceTest(unittest.TestCase):
self.assertEqual(source.nfld, len(layer.fields))
# Testing the layer's extent (an Envelope), and it's properties
if source.driver == 'VRT' and (GDAL_VERSION > (1, 7, 0) and GDAL_VERSION < (1, 7, 3)):
if source.driver == 'VRT' and (GDAL_VERSION >= (1, 7, 0) and GDAL_VERSION < (1, 7, 3)):
# There's a known GDAL regression with retrieving the extent
# of a VRT layer in versions 1.7.0-1.7.2:
# http://trac.osgeo.org/gdal/ticket/3783
@ -217,6 +218,16 @@ class DataSourceTest(unittest.TestCase):
lyr.spatial_filter = None
self.assertEqual(3, len(lyr))
def test07_integer_overflow(self):
"Testing that OFTReal fields, treated as OFTInteger, do not overflow."
# Using *.dbf from Census 2010 TIGER Shapefile for Texas,
# which has land area ('ALAND10') stored in a Real field
# with no precision.
ds = DataSource(os.path.join(TEST_DATA, 'texas.dbf'))
feat = ds[0][0]
# Reference value obtained using `ogrinfo`.
self.assertEqual(676586997978, feat.get('ALAND10'))
def suite():
s = unittest.TestSuite()
s.addTest(unittest.makeSuite(DataSourceTest))

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