mirror of https://github.com/django/django.git
Fixed #25797 -- Fixed regex for getting units from SRS WKT.
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@ -21,12 +21,7 @@ class SpatialRefSysMixin(object):
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# TODO: Figure out how to pull out angular units of projected coordinate system and
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# fix for LOCAL_CS types. GDAL should be highly recommended for performing
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# distance queries.
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units_regex = re.compile(
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r'.+UNIT ?\["(?P<unit_name>[\w \'\(\)]+)", ?(?P<unit>[\d\.]+)'
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r'(,AUTHORITY\["(?P<unit_auth_name>[\w \'\(\)]+)",'
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r'"(?P<unit_auth_val>\d+)"\])?\]([\w ]+)?(,'
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r'AUTHORITY\["(?P<auth_name>[\w \'\(\)]+)","(?P<auth_val>\d+)"\])?\]$'
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)
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units_regex = re.compile(r'.+UNIT ?\["(?P<unit_name>[\w \.\'\(\)]+)", ?(?P<unit>[^ ,\]]+)', re.DOTALL)
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@property
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def srs(self):
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@ -1,13 +1,16 @@
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from __future__ import unicode_literals
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from unittest import skipUnless
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from django.contrib.gis.db.models.functions import (
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Area, Distance, Length, Perimeter, Transform,
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)
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from django.contrib.gis.gdal import HAS_GDAL
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from django.contrib.gis.geos import GEOSGeometry, LineString, Point
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from django.contrib.gis.measure import D # alias for Distance
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from django.db import connection
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from django.db.models import F, Q
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from django.test import TestCase, ignore_warnings, skipUnlessDBFeature
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from django.test import TestCase, ignore_warnings, mock, skipUnlessDBFeature
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from django.utils.deprecation import RemovedInDjango20Warning
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from ..utils import no_oracle, oracle, postgis
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@ -487,6 +490,7 @@ class DistanceFunctionsTests(TestCase):
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tol
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)
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@skipUnless(HAS_GDAL, "GDAL is required.")
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@skipUnlessDBFeature("has_Distance_function", "has_Transform_function")
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def test_distance_projected(self):
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"""
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@ -509,6 +513,8 @@ class DistanceFunctionsTests(TestCase):
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455411.438904354, 519386.252102563, 696139.009211594,
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232513.278304279, 542445.630586414, 456679.155883207]
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for has_gdal in [False, True]:
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with mock.patch('django.contrib.gis.gdal.HAS_GDAL', has_gdal):
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# Testing using different variations of parameters and using models
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# with different projected coordinate systems.
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dist1 = SouthTexasCity.objects.annotate(distance=Distance('point', lagrange)).order_by('id')
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