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# This file is part of daf_butler. 

# 

# Developed for the LSST Data Management System. 

# This product includes software developed by the LSST Project 

# (http://www.lsst.org). 

# See the COPYRIGHT file at the top-level directory of this distribution 

# for details of code ownership. 

# 

# This program is free software: you can redistribute it and/or modify 

# it under the terms of the GNU General Public License as published by 

# the Free Software Foundation, either version 3 of the License, or 

# (at your option) any later version. 

# 

# This program is distributed in the hope that it will be useful, 

# but WITHOUT ANY WARRANTY; without even the implied warranty of 

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

# GNU General Public License for more details. 

# 

# You should have received a copy of the GNU General Public License 

# along with this program. If not, see <http://www.gnu.org/licenses/>. 

 

import unittest 

import pickle 

 

import lsst.utils.tests 

 

from lsst.daf.butler.core.datasets import DatasetType, DatasetRef 

from lsst.daf.butler.core.storageClass import StorageClass, StorageClassFactory 

 

"""Tests for datasets module. 

""" 

 

 

class DatasetTypeTestCase(lsst.utils.tests.TestCase): 

"""Test for DatasetType. 

""" 

 

def testConstructor(self): 

"""Test construction preserves values. 

 

Note that construction doesn't check for valid storageClass or 

dataUnits parameters. 

These can only be verified for a particular schema. 

""" 

datasetTypeName = "test" 

storageClass = StorageClass("test_StructuredData") 

dataUnits = frozenset(("instrument", "visit")) 

datasetType = DatasetType(datasetTypeName, dataUnits, storageClass) 

self.assertEqual(datasetType.name, datasetTypeName) 

self.assertEqual(datasetType.storageClass, storageClass) 

self.assertEqual(datasetType.dataUnits, dataUnits) 

 

def testConstructor2(self): 

"""Test construction from StorageClass name. 

""" 

datasetTypeName = "test" 

storageClass = StorageClass("test_constructor2") 

StorageClassFactory().registerStorageClass(storageClass) 

dataUnits = frozenset(("instrument", "visit")) 

datasetType = DatasetType(datasetTypeName, dataUnits, "test_constructor2") 

self.assertEqual(datasetType.name, datasetTypeName) 

self.assertEqual(datasetType.storageClass, storageClass) 

self.assertEqual(datasetType.dataUnits, dataUnits) 

 

def testEquality(self): 

storageA = StorageClass("test_a") 

storageB = StorageClass("test_b") 

self.assertEqual(DatasetType("a", ("UnitA", ), storageA,), 

DatasetType("a", ("UnitA", ), storageA,)) 

self.assertEqual(DatasetType("a", ("UnitA", ), "test_a",), 

DatasetType("a", ("UnitA", ), storageA,)) 

self.assertEqual(DatasetType("a", ("UnitA", ), storageA,), 

DatasetType("a", ("UnitA", ), "test_a",)) 

self.assertEqual(DatasetType("a", ("UnitA", ), "test_a",), 

DatasetType("a", ("UnitA", ), "test_a",)) 

self.assertNotEqual(DatasetType("a", ("UnitA", ), storageA,), 

DatasetType("b", ("UnitA", ), storageA,)) 

self.assertNotEqual(DatasetType("a", ("UnitA", ), storageA,), 

DatasetType("b", ("UnitA", ), "test_a",)) 

self.assertNotEqual(DatasetType("a", ("UnitA", ), storageA,), 

DatasetType("a", ("UnitA", ), storageB,)) 

self.assertNotEqual(DatasetType("a", ("UnitA", ), storageA,), 

DatasetType("a", ("UnitA", ), "test_b",)) 

self.assertNotEqual(DatasetType("a", ("UnitA", ), storageA,), 

DatasetType("a", ("UnitB", ), storageA,)) 

self.assertNotEqual(DatasetType("a", ("UnitA", ), storageA,), 

DatasetType("a", ("UnitB", ), "test_a",)) 

 

def testHashability(self): 

"""Test `DatasetType.__hash__`. 

 

This test is performed by checking that `DatasetType` entries can 

be inserted into a `set` and that unique values of its 

(`name`, `storageClass`, `dataUnits`) parameters result in separate 

entries (and equal ones don't). 

 

This does not check for uniformity of hashing or the actual values 

of the hash function. 

""" 

types = [] 

unique = 0 

storageC = StorageClass("test_c") 

storageD = StorageClass("test_d") 

for name in ["a", "b"]: 

for storageClass in [storageC, storageD]: 

for dataUnits in [("e", ), ("f", )]: 

datasetType = DatasetType(name, dataUnits, storageClass) 

datasetTypeCopy = DatasetType(name, dataUnits, storageClass) 

types.extend((datasetType, datasetTypeCopy)) 

unique += 1 # datasetType should always equal its copy 

self.assertEqual(len(set(types)), unique) # all other combinations are unique 

 

# also check that hashes of instances constructed with StorageClass 

# name matches hashes of instances constructed with instances 

self.assertEqual(hash(DatasetType("a", ("e",), storageC)), 

hash(DatasetType("a", ("e",), "test_c"))) 

self.assertEqual(hash(DatasetType("a", ("e",), "test_c")), 

hash(DatasetType("a", ("e",), "test_c"))) 

self.assertNotEqual(hash(DatasetType("a", ("e",), storageC)), 

hash(DatasetType("a", ("e",), "test_d"))) 

self.assertNotEqual(hash(DatasetType("a", ("e",), storageD)), 

hash(DatasetType("a", ("e",), "test_c"))) 

self.assertNotEqual(hash(DatasetType("a", ("e",), "test_c")), 

hash(DatasetType("a", ("e",), "test_d"))) 

 

def testPickle(self): 

"""Test pickle support. 

""" 

storageClass = StorageClass("test_pickle") 

datasetTypeName = "test" 

dataUnits = frozenset(("camera", "visit")) 

# Un-pickling requires that storage class is registered with factory. 

StorageClassFactory().registerStorageClass(storageClass) 

datasetType = DatasetType(datasetTypeName, dataUnits, storageClass) 

datasetTypeOut = pickle.loads(pickle.dumps(datasetType)) 

self.assertIsInstance(datasetTypeOut, DatasetType) 

self.assertEqual(datasetType.name, datasetTypeOut.name) 

self.assertEqual(datasetType.dataUnits, datasetTypeOut.dataUnits) 

self.assertEqual(datasetType.storageClass, datasetTypeOut.storageClass) 

 

 

class DatasetRefTestCase(lsst.utils.tests.TestCase): 

"""Test for DatasetRef. 

""" 

def testConstructor(self): 

"""Test construction preserves values. 

""" 

datasetTypeName = "test" 

storageClass = StorageClass("testref_StructuredData") 

dataUnits = frozenset(("instrument", "visit")) 

dataId = dict(instrument="DummyCam", visit=42) 

datasetType = DatasetType(datasetTypeName, dataUnits, storageClass) 

ref = DatasetRef(datasetType, dataId) 

self.assertEqual(ref.datasetType, datasetType) 

self.assertEqual(ref.dataId, dataId) 

self.assertIsNone(ref.producer) 

self.assertEqual(ref.predictedConsumers, dict()) 

self.assertEqual(ref.actualConsumers, dict()) 

self.assertEqual(ref.components, dict()) 

 

def testDetach(self): 

datasetTypeName = "test" 

storageClass = StorageClass("testref_StructuredData") 

dataUnits = frozenset(("instrument", "visit")) 

dataId = dict(instrument="DummyCam", visit=42) 

datasetType = DatasetType(datasetTypeName, dataUnits, storageClass) 

ref = DatasetRef(datasetType, dataId, id=1) 

detachedRef = ref.detach() 

self.assertIsNotNone(ref.id) 

self.assertIsNone(detachedRef.id) 

self.assertEqual(ref.datasetType, detachedRef.datasetType) 

self.assertEqual(ref.dataId, detachedRef.dataId) 

self.assertEqual(ref.predictedConsumers, detachedRef.predictedConsumers) 

self.assertEqual(ref.actualConsumers, detachedRef.actualConsumers) 

self.assertEqual(ref.components, detachedRef.components) 

 

 

class MemoryTester(lsst.utils.tests.MemoryTestCase): 

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

186 ↛ 187line 186 didn't jump to line 187, because the condition on line 186 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()