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bb6114ce50
This feature flag useful with MongoDB: "Rounding to the nearest even value supports more even distribution of rounded data than always rounding up or down."
134 lines
5.6 KiB
Python
134 lines
5.6 KiB
Python
import unittest
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from decimal import Decimal
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from django.db import connection
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from django.db.models import DecimalField
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from django.db.models.functions import Pi, Round
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from django.test import TestCase
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from django.test.utils import register_lookup
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from ..models import DecimalModel, FloatModel, IntegerModel
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class RoundTests(TestCase):
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def test_null(self):
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IntegerModel.objects.create()
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obj = IntegerModel.objects.annotate(null_round=Round("normal")).first()
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self.assertIsNone(obj.null_round)
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def test_null_with_precision(self):
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IntegerModel.objects.create()
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obj = IntegerModel.objects.annotate(null_round=Round("normal", 5)).first()
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self.assertIsNone(obj.null_round)
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def test_null_with_negative_precision(self):
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IntegerModel.objects.create()
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obj = IntegerModel.objects.annotate(null_round=Round("normal", -1)).first()
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self.assertIsNone(obj.null_round)
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def test_decimal(self):
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DecimalModel.objects.create(n1=Decimal("-12.9"), n2=Decimal("0.6"))
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obj = DecimalModel.objects.annotate(
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n1_round=Round("n1"), n2_round=Round("n2")
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).first()
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self.assertIsInstance(obj.n1_round, Decimal)
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self.assertIsInstance(obj.n2_round, Decimal)
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self.assertAlmostEqual(obj.n1_round, obj.n1, places=0)
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self.assertAlmostEqual(obj.n2_round, obj.n2, places=0)
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def test_decimal_with_precision(self):
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DecimalModel.objects.create(n1=Decimal("-5.75"), n2=Pi())
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obj = DecimalModel.objects.annotate(
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n1_round=Round("n1", 1),
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n2_round=Round("n2", 5),
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).first()
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self.assertIsInstance(obj.n1_round, Decimal)
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self.assertIsInstance(obj.n2_round, Decimal)
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self.assertAlmostEqual(obj.n1_round, obj.n1, places=1)
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self.assertAlmostEqual(obj.n2_round, obj.n2, places=5)
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def test_decimal_with_negative_precision(self):
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DecimalModel.objects.create(n1=Decimal("365.25"))
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obj = DecimalModel.objects.annotate(n1_round=Round("n1", -1)).first()
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self.assertIsInstance(obj.n1_round, Decimal)
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self.assertEqual(obj.n1_round, 370)
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def test_float(self):
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FloatModel.objects.create(f1=-27.55, f2=0.55)
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obj = FloatModel.objects.annotate(
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f1_round=Round("f1"), f2_round=Round("f2")
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).first()
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self.assertIsInstance(obj.f1_round, float)
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self.assertIsInstance(obj.f2_round, float)
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self.assertAlmostEqual(obj.f1_round, obj.f1, places=0)
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self.assertAlmostEqual(obj.f2_round, obj.f2, places=0)
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def test_float_with_precision(self):
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FloatModel.objects.create(f1=-5.75, f2=Pi())
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obj = FloatModel.objects.annotate(
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f1_round=Round("f1", 1),
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f2_round=Round("f2", 5),
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).first()
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self.assertIsInstance(obj.f1_round, float)
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self.assertIsInstance(obj.f2_round, float)
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self.assertAlmostEqual(obj.f1_round, obj.f1, places=1)
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self.assertAlmostEqual(obj.f2_round, obj.f2, places=5)
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def test_float_with_negative_precision(self):
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FloatModel.objects.create(f1=365.25)
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obj = FloatModel.objects.annotate(f1_round=Round("f1", -1)).first()
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self.assertIsInstance(obj.f1_round, float)
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self.assertEqual(obj.f1_round, 370)
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def test_integer(self):
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IntegerModel.objects.create(small=-20, normal=15, big=-1)
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obj = IntegerModel.objects.annotate(
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small_round=Round("small"),
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normal_round=Round("normal"),
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big_round=Round("big"),
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).first()
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self.assertIsInstance(obj.small_round, int)
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self.assertIsInstance(obj.normal_round, int)
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self.assertIsInstance(obj.big_round, int)
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self.assertAlmostEqual(obj.small_round, obj.small, places=0)
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self.assertAlmostEqual(obj.normal_round, obj.normal, places=0)
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self.assertAlmostEqual(obj.big_round, obj.big, places=0)
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def test_integer_with_precision(self):
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IntegerModel.objects.create(small=-5, normal=3, big=-100)
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obj = IntegerModel.objects.annotate(
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small_round=Round("small", 1),
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normal_round=Round("normal", 5),
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big_round=Round("big", 2),
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).first()
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self.assertIsInstance(obj.small_round, int)
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self.assertIsInstance(obj.normal_round, int)
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self.assertIsInstance(obj.big_round, int)
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self.assertAlmostEqual(obj.small_round, obj.small, places=1)
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self.assertAlmostEqual(obj.normal_round, obj.normal, places=5)
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self.assertAlmostEqual(obj.big_round, obj.big, places=2)
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def test_integer_with_negative_precision(self):
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IntegerModel.objects.create(normal=365)
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obj = IntegerModel.objects.annotate(normal_round=Round("normal", -1)).first()
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self.assertIsInstance(obj.normal_round, int)
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expected = 360 if connection.features.rounds_to_even else 370
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self.assertEqual(obj.normal_round, expected)
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def test_transform(self):
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with register_lookup(DecimalField, Round):
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DecimalModel.objects.create(n1=Decimal("2.0"), n2=Decimal("0"))
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DecimalModel.objects.create(n1=Decimal("-1.0"), n2=Decimal("0"))
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obj = DecimalModel.objects.filter(n1__round__gt=0).get()
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self.assertEqual(obj.n1, Decimal("2.0"))
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@unittest.skipUnless(
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connection.vendor == "sqlite",
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"SQLite doesn't support negative precision.",
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)
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def test_unsupported_negative_precision(self):
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FloatModel.objects.create(f1=123.45)
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msg = "SQLite does not support negative precision."
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with self.assertRaisesMessage(ValueError, msg):
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FloatModel.objects.annotate(value=Round("f1", -1)).first()
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