485 lines
16 KiB
Python
485 lines
16 KiB
Python
# Copyright 2015 DataStax, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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try:
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import unittest2 as unittest
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except ImportError:
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import unittest # noqa
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from uuid import uuid4, UUID
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import random
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from datetime import datetime, date, time
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from decimal import Decimal
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from operator import itemgetter
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from cassandra.cqlengine import columns
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from cassandra.cqlengine import CQLEngineException
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from cassandra.cqlengine.management import sync_table
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from cassandra.cqlengine.management import drop_table
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from cassandra.cqlengine.models import Model
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from cassandra.util import Date, Time
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from tests.integration import PROTOCOL_VERSION
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from tests.integration.cqlengine.base import BaseCassEngTestCase
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class TestModel(Model):
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id = columns.UUID(primary_key=True, default=lambda: uuid4())
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count = columns.Integer()
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text = columns.Text(required=False)
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a_bool = columns.Boolean(default=False)
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class TestModelIO(BaseCassEngTestCase):
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@classmethod
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def setUpClass(cls):
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super(TestModelIO, cls).setUpClass()
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sync_table(TestModel)
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@classmethod
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def tearDownClass(cls):
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super(TestModelIO, cls).tearDownClass()
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drop_table(TestModel)
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def test_model_save_and_load(self):
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"""
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Tests that models can be saved and retrieved
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"""
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tm = TestModel.create(count=8, text='123456789')
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self.assertIsInstance(tm, TestModel)
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tm2 = TestModel.objects(id=tm.pk).first()
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self.assertIsInstance(tm2, TestModel)
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for cname in tm._columns.keys():
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self.assertEqual(getattr(tm, cname), getattr(tm2, cname))
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def test_model_read_as_dict(self):
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"""
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Tests that columns of an instance can be read as a dict.
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"""
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tm = TestModel.create(count=8, text='123456789', a_bool=True)
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column_dict = {
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'id': tm.id,
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'count': tm.count,
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'text': tm.text,
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'a_bool': tm.a_bool,
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}
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self.assertEqual(sorted(tm.keys()), sorted(column_dict.keys()))
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self.assertSetEqual(set(tm.values()), set(column_dict.values()))
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self.assertEqual(
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sorted(tm.items(), key=itemgetter(0)),
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sorted(column_dict.items(), key=itemgetter(0)))
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self.assertEqual(len(tm), len(column_dict))
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for column_id in column_dict.keys():
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self.assertEqual(tm[column_id], column_dict[column_id])
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tm['count'] = 6
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self.assertEqual(tm.count, 6)
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def test_model_updating_works_properly(self):
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"""
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Tests that subsequent saves after initial model creation work
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"""
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tm = TestModel.objects.create(count=8, text='123456789')
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tm.count = 100
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tm.a_bool = True
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tm.save()
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tm2 = TestModel.objects(id=tm.pk).first()
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self.assertEqual(tm.count, tm2.count)
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self.assertEqual(tm.a_bool, tm2.a_bool)
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def test_model_deleting_works_properly(self):
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"""
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Tests that an instance's delete method deletes the instance
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"""
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tm = TestModel.create(count=8, text='123456789')
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tm.delete()
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tm2 = TestModel.objects(id=tm.pk).first()
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self.assertIsNone(tm2)
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def test_column_deleting_works_properly(self):
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"""
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"""
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tm = TestModel.create(count=8, text='123456789')
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tm.text = None
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tm.save()
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tm2 = TestModel.objects(id=tm.pk).first()
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self.assertIsInstance(tm2, TestModel)
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assert tm2.text is None
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assert tm2._values['text'].previous_value is None
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def test_a_sensical_error_is_raised_if_you_try_to_create_a_table_twice(self):
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"""
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"""
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sync_table(TestModel)
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sync_table(TestModel)
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def test_can_insert_model_with_all_column_types(self):
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"""
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Test for inserting all column types into a Model
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test_can_insert_model_with_all_column_types tests that each cqlengine column type can be inserted into a Model.
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It first creates a Model that has each cqlengine column type. It then creates a Model instance where all the fields
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have corresponding data, which performs the insert into the Cassandra table.
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Finally, it verifies that each column read from the Model from Cassandra is the same as the input parameters.
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@since 2.6.0
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@jira_ticket PYTHON-246
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@expected_result The Model is inserted with each column type, and the resulting read yields proper data for each column.
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@test_category data_types:primitive
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"""
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class AllDatatypesModel(Model):
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id = columns.Integer(primary_key=True)
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a = columns.Ascii()
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b = columns.BigInt()
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c = columns.Blob()
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d = columns.Boolean()
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e = columns.DateTime()
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f = columns.Decimal()
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g = columns.Double()
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h = columns.Float(double_precision=False)
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i = columns.Inet()
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j = columns.Integer()
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k = columns.Text()
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l = columns.TimeUUID()
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m = columns.UUID()
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n = columns.VarInt()
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sync_table(AllDatatypesModel)
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input = ['ascii', 2 ** 63 - 1, bytearray(b'hello world'), True, datetime.utcfromtimestamp(872835240),
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Decimal('12.3E+7'), 2.39, 3.4028234663852886e+38, '123.123.123.123', 2147483647, 'text',
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UUID('FE2B4360-28C6-11E2-81C1-0800200C9A66'), UUID('067e6162-3b6f-4ae2-a171-2470b63dff00'),
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int(str(2147483647) + '000')]
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AllDatatypesModel.create(id=0, a='ascii', b=2 ** 63 - 1, c=bytearray(b'hello world'), d=True,
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e=datetime.utcfromtimestamp(872835240), f=Decimal('12.3E+7'), g=2.39,
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h=3.4028234663852886e+38, i='123.123.123.123', j=2147483647, k='text',
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l=UUID('FE2B4360-28C6-11E2-81C1-0800200C9A66'),
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m=UUID('067e6162-3b6f-4ae2-a171-2470b63dff00'), n=int(str(2147483647) + '000'))
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self.assertEqual(1, AllDatatypesModel.objects.count())
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output = AllDatatypesModel.objects().first()
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for i, i_char in enumerate(range(ord('a'), ord('a') + 14)):
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self.assertEqual(input[i], output[chr(i_char)])
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def test_can_insert_model_with_all_protocol_v4_column_types(self):
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"""
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Test for inserting all protocol v4 column types into a Model
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test_can_insert_model_with_all_protocol_v4_column_types tests that each cqlengine protocol v4 column type can be
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inserted into a Model. It first creates a Model that has each cqlengine protocol v4 column type. It then creates
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a Model instance where all the fields have corresponding data, which performs the insert into the Cassandra table.
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Finally, it verifies that each column read from the Model from Cassandra is the same as the input parameters.
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@since 2.6.0
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@jira_ticket PYTHON-245
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@expected_result The Model is inserted with each protocol v4 column type, and the resulting read yields proper data for each column.
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@test_category data_types:primitive
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"""
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if PROTOCOL_VERSION < 4:
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raise unittest.SkipTest("Protocol v4 datatypes require native protocol 4+, currently using: {0}".format(PROTOCOL_VERSION))
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class v4DatatypesModel(Model):
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id = columns.Integer(primary_key=True)
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a = columns.Date()
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b = columns.SmallInt()
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c = columns.Time()
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d = columns.TinyInt()
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sync_table(v4DatatypesModel)
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input = [Date(date(1970, 1, 1)), 32523, Time(time(16, 47, 25, 7)), 123]
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v4DatatypesModel.create(id=0, a=date(1970, 1, 1), b=32523, c=time(16, 47, 25, 7), d=123)
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self.assertEqual(1, v4DatatypesModel.objects.count())
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output = v4DatatypesModel.objects().first()
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for i, i_char in enumerate(range(ord('a'), ord('a') + 3)):
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self.assertEqual(input[i], output[chr(i_char)])
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def test_can_insert_double_and_float(self):
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"""
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Test for inserting single-precision and double-precision values into a Float and Double columns
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test_can_insert_double_and_float tests a Float can only hold a single-precision value, unless
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"double_precision" attribute is specified as True or is unspecified. This test first tests that an AttributeError
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is raised when attempting to input a double-precision value into a single-precision Float. It then verifies that
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Double, Float(double_precision=True) and Float() can hold double-precision values by default. It also verifies that
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columns.Float(double_precision=False) can hold a single-precision value, and a Double can hold a single-precision value.
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@since 2.6.0
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@jira_ticket PYTHON-246
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@expected_result Each floating point column type is able to hold their respective precision values.
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@test_category data_types:primitive
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"""
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class FloatingPointModel(Model):
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id = columns.Integer(primary_key=True)
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a = columns.Float(double_precision=False)
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b = columns.Float(double_precision=True)
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c = columns.Float()
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d = columns.Double()
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sync_table(FloatingPointModel)
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FloatingPointModel.create(id=0, a=2.39)
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output = FloatingPointModel.objects().first()
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self.assertEqual(2.390000104904175, output.a)
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FloatingPointModel.create(id=0, a=3.4028234663852886e+38, b=2.39, c=2.39, d=2.39)
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output = FloatingPointModel.objects().first()
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self.assertEqual(3.4028234663852886e+38, output.a)
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self.assertEqual(2.39, output.b)
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self.assertEqual(2.39, output.c)
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self.assertEqual(2.39, output.d)
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FloatingPointModel.create(id=0, d=3.4028234663852886e+38)
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output = FloatingPointModel.objects().first()
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self.assertEqual(3.4028234663852886e+38, output.d)
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class TestMultiKeyModel(Model):
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partition = columns.Integer(primary_key=True)
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cluster = columns.Integer(primary_key=True)
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count = columns.Integer(required=False)
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text = columns.Text(required=False)
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class TestDeleting(BaseCassEngTestCase):
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@classmethod
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def setUpClass(cls):
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super(TestDeleting, cls).setUpClass()
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drop_table(TestMultiKeyModel)
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sync_table(TestMultiKeyModel)
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@classmethod
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def tearDownClass(cls):
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super(TestDeleting, cls).tearDownClass()
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drop_table(TestMultiKeyModel)
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def test_deleting_only_deletes_one_object(self):
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partition = random.randint(0, 1000)
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for i in range(5):
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TestMultiKeyModel.create(partition=partition, cluster=i, count=i, text=str(i))
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assert TestMultiKeyModel.filter(partition=partition).count() == 5
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TestMultiKeyModel.get(partition=partition, cluster=0).delete()
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assert TestMultiKeyModel.filter(partition=partition).count() == 4
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TestMultiKeyModel.filter(partition=partition).delete()
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class TestUpdating(BaseCassEngTestCase):
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@classmethod
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def setUpClass(cls):
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super(TestUpdating, cls).setUpClass()
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drop_table(TestMultiKeyModel)
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sync_table(TestMultiKeyModel)
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@classmethod
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def tearDownClass(cls):
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super(TestUpdating, cls).tearDownClass()
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drop_table(TestMultiKeyModel)
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def setUp(self):
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super(TestUpdating, self).setUp()
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self.instance = TestMultiKeyModel.create(
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partition=random.randint(0, 1000),
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cluster=random.randint(0, 1000),
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count=0,
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text='happy'
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)
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def test_vanilla_update(self):
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self.instance.count = 5
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self.instance.save()
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check = TestMultiKeyModel.get(partition=self.instance.partition, cluster=self.instance.cluster)
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assert check.count == 5
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assert check.text == 'happy'
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def test_deleting_only(self):
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self.instance.count = None
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self.instance.text = None
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self.instance.save()
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check = TestMultiKeyModel.get(partition=self.instance.partition, cluster=self.instance.cluster)
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assert check.count is None
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assert check.text is None
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def test_get_changed_columns(self):
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assert self.instance.get_changed_columns() == []
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self.instance.count = 1
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changes = self.instance.get_changed_columns()
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assert len(changes) == 1
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assert changes == ['count']
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self.instance.save()
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assert self.instance.get_changed_columns() == []
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class TestCanUpdate(BaseCassEngTestCase):
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@classmethod
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def setUpClass(cls):
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super(TestCanUpdate, cls).setUpClass()
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drop_table(TestModel)
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sync_table(TestModel)
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@classmethod
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def tearDownClass(cls):
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super(TestCanUpdate, cls).tearDownClass()
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drop_table(TestModel)
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def test_success_case(self):
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tm = TestModel(count=8, text='123456789')
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# object hasn't been saved,
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# shouldn't be able to update
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assert not tm._is_persisted
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assert not tm._can_update()
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tm.save()
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# object has been saved,
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# should be able to update
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assert tm._is_persisted
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assert tm._can_update()
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tm.count = 200
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# primary keys haven't changed,
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# should still be able to update
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assert tm._can_update()
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tm.save()
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tm.id = uuid4()
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# primary keys have changed,
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# should not be able to update
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assert not tm._can_update()
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class IndexDefinitionModel(Model):
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key = columns.UUID(primary_key=True)
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val = columns.Text(index=True)
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class TestIndexedColumnDefinition(BaseCassEngTestCase):
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def test_exception_isnt_raised_if_an_index_is_defined_more_than_once(self):
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sync_table(IndexDefinitionModel)
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sync_table(IndexDefinitionModel)
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class ReservedWordModel(Model):
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token = columns.Text(primary_key=True)
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insert = columns.Integer(index=True)
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class TestQueryQuoting(BaseCassEngTestCase):
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def test_reserved_cql_words_can_be_used_as_column_names(self):
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"""
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"""
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sync_table(ReservedWordModel)
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model1 = ReservedWordModel.create(token='1', insert=5)
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model2 = ReservedWordModel.filter(token='1')
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assert len(model2) == 1
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assert model1.token == model2[0].token
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assert model1.insert == model2[0].insert
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class TestQueryModel(Model):
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test_id = columns.UUID(primary_key=True, default=uuid4)
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date = columns.Date(primary_key=True)
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description = columns.Text()
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class TestQuerying(BaseCassEngTestCase):
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@classmethod
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def setUpClass(cls):
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if PROTOCOL_VERSION < 4:
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return
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super(TestQuerying, cls).setUpClass()
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drop_table(TestQueryModel)
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sync_table(TestQueryModel)
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@classmethod
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def tearDownClass(cls):
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if PROTOCOL_VERSION < 4:
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return
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super(TestQuerying, cls).tearDownClass()
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drop_table(TestQueryModel)
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def setUp(self):
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if PROTOCOL_VERSION < 4:
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raise unittest.SkipTest("Date query tests require native protocol 4+, currently using: {0}".format(PROTOCOL_VERSION))
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def test_query_with_date(self):
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uid = uuid4()
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day = date(2013, 11, 26)
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obj = TestQueryModel.create(test_id=uid, date=day, description=u'foo')
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self.assertEqual(obj.description, u'foo')
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inst = TestQueryModel.filter(
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TestQueryModel.test_id == uid,
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TestQueryModel.date == day).limit(1).first()
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assert inst.test_id == uid
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assert inst.date == day
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def test_none_filter_fails():
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class NoneFilterModel(Model):
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pk = columns.Integer(primary_key=True)
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v = columns.Integer()
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sync_table(NoneFilterModel)
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try:
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NoneFilterModel.objects(pk=None)
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raise Exception("fail")
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except CQLEngineException as e:
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pass
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