def test_expanding_and_clipping(self):
a = Box.fromDegrees(0, 0, 10, 10)
b = (a.expandedTo(LonLat.fromDegrees(20, 20)).expandedTo(
Box.fromDegrees(0, 0, 30, 10)).clippedTo(
Box.fromDegrees(10, 10, 15,
15)).clippedTo(LonLat.fromDegrees(11, 11)))
a.expandTo(LonLat.fromDegrees(20, 20))
a.expandTo(Box.fromDegrees(0, 0, 30, 10))
a.clipTo(Box.fromDegrees(10, 10, 15, 15))
a.clipTo(LonLat.fromDegrees(11, 11))
self.assertEqual(a, b)
self.assertEqual(a, LonLat.fromDegrees(11, 11))
a.clipTo(LonLat.fromDegrees(0, 0))
self.assertTrue(a.isEmpty())
def testChunkBoundingBox(self):
chunker = Chunker(200, 5)
chunk_id = 3645
stripe = chunker.getStripe(chunk_id)
chunk_in_stripe = chunker.getChunk(chunk_id, stripe)
bbox = chunker.getChunkBoundingBox(stripe, chunk_in_stripe)
sbbox = chunker.getSubChunkBoundingBox(0, 0)
self.assertEqual(stripe, 9)
self.assertEqual(chunk_in_stripe, 45)
b = Box.fromRadians(5.048988193233824, -1.4294246573883558,
5.1611879309330035, -1.413716694110407)
self.assertAlmostEqual(bbox, b)
sb = Box.fromRadians(0.0, -1.5707963267948966, 6.283185307179586,
-1.5676547341363067)
self.assertAlmostEqual(sbbox, sb)
def testIntersecting(self):
b = Box.fromDegrees(273.6, 30.7, 273.7180105379097, 30.722546655347717)
c = Chunker(85, 12)
self.assertEqual(c.getChunksIntersecting(b), [9630, 9631, 9797])
self.assertEqual(c.getSubChunksIntersecting(b), [(9630, [770]),
(9631, [759]),
(9797, [11])])
def test_center_and_dimensions(self):
b = Box.fromDegrees(-90, -45, 90, 45)
self.assertEqual(b.getCenter(), LonLat.fromDegrees(0, 0))
self.assertEqual(b.getWidth(), Angle.fromDegrees(180))
self.assertEqual(b.getHeight(), Angle.fromDegrees(90))
self.assertEqual(b.getLon().getA(), NormalizedAngle.fromDegrees(-90))
self.assertEqual(b.getLat().getB(), Angle.fromDegrees(45))
def test_relationships(self):
b1 = Box.fromDegrees(90, 0, 180, 45)
p = LonLat.fromDegrees(135, 10)
self.assertTrue(p in b1)
self.assertTrue(b1.contains(p))
b2 = Box.fromDegrees(135, 15, 135, 30)
self.assertTrue(b1.contains(b2))
self.assertTrue(b2.isWithin(b1))
b3 = Box.fromDegrees(0, -45, 90, 0)
u = UnitVector3d(1, 1, -1)
self.assertTrue(b1.intersects(b3))
self.assertTrue(u in b3)
self.assertTrue(b3.contains(u))
b4 = Box.fromDegrees(200, 10, 300, 20)
self.assertTrue(b1.isDisjointFrom(b4))
r = b1.relate(LonLat.fromDegrees(135, 10))
self.assertEqual(r, CONTAINS)
r = b4.relate(b1)
self.assertEqual(r, DISJOINT)
def _roundTripThroughApdb(objects, sources, forcedSources, dateTime):
"""Run object and source catalogs through the Apdb to get the correct
table schemas.
Parameters
----------
objects : `pandas.DataFrame`
Set of test DiaObjects to round trip.
sources : `pandas.DataFrame`
Set of test DiaSources to round trip.
forcedSources : `pandas.DataFrame`
Set of test DiaForcedSources to round trip.
dateTime : `lsst.daf.base.DateTime`
Time for the Apdb.
Returns
-------
objects : `pandas.DataFrame`
Round tripped objects.
sources : `pandas.DataFrame`
Round tripped sources.
"""
tmpFile = tempfile.NamedTemporaryFile()
apdbConfig = ApdbSqlConfig()
apdbConfig.db_url = "sqlite:///" + tmpFile.name
apdbConfig.dia_object_index = "baseline"
apdbConfig.dia_object_columns = []
apdb = ApdbSql(config=apdbConfig)
apdb.makeSchema()
wholeSky = Box.full()
diaObjects = pd.concat([apdb.getDiaObjects(wholeSky), objects])
diaSources = pd.concat(
[apdb.getDiaSources(wholeSky, [], dateTime), sources])
diaForcedSources = pd.concat(
[apdb.getDiaForcedSources(wholeSky, [], dateTime), forcedSources])
apdb.store(dateTime, diaObjects, diaSources, diaForcedSources)
diaObjects = apdb.getDiaObjects(wholeSky)
diaSources = apdb.getDiaSources(wholeSky,
np.unique(diaObjects["diaObjectId"]),
dateTime)
diaForcedSources = apdb.getDiaForcedSources(
wholeSky, np.unique(diaObjects["diaObjectId"]), dateTime)
diaObjects.set_index("diaObjectId", drop=False, inplace=True)
diaSources.set_index(["diaObjectId", "filterName", "diaSourceId"],
drop=False,
inplace=True)
diaForcedSources.set_index(["diaObjectId"], drop=False, inplace=True)
return (diaObjects, diaSources, diaForcedSources)
def test_string(self):
b = Box.fromRadians(0, 0, 1, 1)
self.assertEqual(str(b), 'Box([0.0, 1.0], [0.0, 1.0])')
self.assertEqual(
repr(b),
'Box(NormalizedAngleInterval.fromRadians(0.0, 1.0), '
'AngleInterval.fromRadians(0.0, 1.0))'
)
self.assertEqual(b, eval(repr(b), dict(
AngleInterval=AngleInterval, Box=Box,
NormalizedAngleInterval=NormalizedAngleInterval
)))
def test_comparison_operators(self):
self.assertEqual(Box(LonLat.fromDegrees(45, 45)),
LonLat.fromDegrees(45, 45))
self.assertEqual(Box.fromDegrees(90, -45, 180, 45),
Box(NormalizedAngleInterval.fromDegrees(90, 180),
AngleInterval.fromDegrees(-45, 45)))
self.assertNotEqual(Box(LonLat.fromDegrees(45, 45)),
LonLat.fromDegrees(45, 90))
self.assertNotEqual(Box.fromDegrees(90, -45, 180, 45),
Box.fromDegrees(90, -45, 180, 90))
def test_construction(self):
b = Box(Box.allLongitudes(), Box.allLatitudes())
self.assertTrue(b.isFull())
b = Box.fromDegrees(-90, -45, 90, 45)
self.assertEqual(b, Box(b.getLon(), b.getLat()))
a = Box.fromRadians(-0.5 * math.pi, -0.25 * math.pi, 0.5 * math.pi,
0.25 * math.pi)
b = Box(LonLat.fromRadians(-0.5 * math.pi, -0.25 * math.pi),
LonLat.fromRadians(0.5 * math.pi, 0.25 * math.pi))
c = Box(LonLat.fromRadians(0, 0), Angle(0.5 * math.pi),
Angle(0.25 * math.pi))
d = c.clone()
self.assertEqual(a, b)
self.assertEqual(b, c)
self.assertEqual(c, d)
self.assertNotEqual(id(c), id(d))
b = Box()
self.assertTrue(b.isEmpty())
self.assertTrue(Box.empty().isEmpty())
self.assertTrue(Box.full().isFull())
def test_pickle(self):
a = Box.fromDegrees(0, 0, 10, 10)
b = pickle.loads(pickle.dumps(a, pickle.HIGHEST_PROTOCOL))
self.assertEqual(a, b)
def test_codec(self):
b = Box.fromRadians(0, 0, 1, 1)
s = b.encode()
self.assertEqual(Box.decode(s), b)
self.assertEqual(Region.decode(s), b)
def test_dilation_and_erosion(self):
a = Box.fromRadians(0.5, -0.5, 1.5, 0.5)
b = a.dilatedBy(Angle(0.5), Angle(0.5)).erodedBy(Angle(1), Angle(1))
a.dilateBy(Angle(0.5), Angle(0.5)).erodeBy(Angle(1), Angle(1))
self.assertEqual(a, b)
self.assertEqual(a, LonLat.fromRadians(1, 0))
def test_yaml(self):
a = Box.fromDegrees(0, 0, 10, 10)
b = yaml.safe_load(yaml.dump(a))
self.assertEqual(a, b)
def testSkyMapDimensions(self):
"""Test involving only skymap dimensions, no joins to instrument"""
registry = self.registry
# need a bunch of dimensions and datasets for test, we want
# "abstract_filter" in the test so also have to add physical_filter
# dimensions
registry.addDimensionEntry("instrument", dict(instrument="DummyCam"))
registry.addDimensionEntry("physical_filter", dict(instrument="DummyCam",
physical_filter="dummy_r",
abstract_filter="r"))
registry.addDimensionEntry("physical_filter", dict(instrument="DummyCam",
physical_filter="dummy_i",
abstract_filter="i"))
registry.addDimensionEntry("skymap", dict(skymap="DummyMap", hash="sha!".encode("utf8")))
for tract in range(10):
registry.addDimensionEntry("tract", dict(skymap="DummyMap", tract=tract))
for patch in range(10):
registry.addDimensionEntry("patch", dict(skymap="DummyMap", tract=tract, patch=patch,
cell_x=0, cell_y=0,
region=Box(LonLat(NormalizedAngle(0.), Angle(0.)))))
# dataset types
collection = "test"
run = registry.makeRun(collection=collection)
storageClass = StorageClass("testDataset")
registry.storageClasses.registerStorageClass(storageClass)
calexpType = DatasetType(name="deepCoadd_calexp",
dimensions=registry.dimensions.extract(("skymap", "tract", "patch",
"abstract_filter")),
storageClass=storageClass)
registry.registerDatasetType(calexpType)
mergeType = DatasetType(name="deepCoadd_mergeDet",
dimensions=registry.dimensions.extract(("skymap", "tract", "patch")),
storageClass=storageClass)
registry.registerDatasetType(mergeType)
measType = DatasetType(name="deepCoadd_meas",
dimensions=registry.dimensions.extract(("skymap", "tract", "patch",
"abstract_filter")),
storageClass=storageClass)
registry.registerDatasetType(measType)
dimensions = registry.dimensions.empty.union(calexpType.dimensions, mergeType.dimensions,
measType.dimensions, implied=True)
# add pre-existing datasets
for tract in (1, 3, 5):
for patch in (2, 4, 6, 7):
dataId = dict(skymap="DummyMap", tract=tract, patch=patch)
registry.addDataset(mergeType, dataId=dataId, run=run)
for aFilter in ("i", "r"):
dataId = dict(skymap="DummyMap", tract=tract, patch=patch, abstract_filter=aFilter)
registry.addDataset(calexpType, dataId=dataId, run=run)
# with empty expression
builder = DataIdQueryBuilder.fromDimensions(registry, dimensions)
builder.requireDataset(calexpType, collections=[collection])
builder.requireDataset(mergeType, collections=[collection])
rows = list(builder.execute())
self.assertEqual(len(rows), 3*4*2) # 4 tracts x 4 patches x 2 filters
for dataId in rows:
self.assertCountEqual(dataId.keys(), ("skymap", "tract", "patch", "abstract_filter"))
self.assertCountEqual(set(dataId["tract"] for dataId in rows), (1, 3, 5))
self.assertCountEqual(set(dataId["patch"] for dataId in rows), (2, 4, 6, 7))
self.assertCountEqual(set(dataId["abstract_filter"] for dataId in rows), ("i", "r"))
# limit to 2 tracts and 2 patches
builder = DataIdQueryBuilder.fromDimensions(registry, dimensions)
builder.requireDataset(calexpType, collections=[collection])
builder.requireDataset(mergeType, collections=[collection])
builder.whereParsedExpression("tract IN (1, 5) AND patch.patch IN (2, 7)")
rows = list(builder.execute())
self.assertEqual(len(rows), 2*2*2) # 4 tracts x 4 patches x 2 filters
self.assertCountEqual(set(dataId["tract"] for dataId in rows), (1, 5))
self.assertCountEqual(set(dataId["patch"] for dataId in rows), (2, 7))
self.assertCountEqual(set(dataId["abstract_filter"] for dataId in rows), ("i", "r"))
# limit to single filter
builder = DataIdQueryBuilder.fromDimensions(registry, dimensions)
builder.requireDataset(calexpType, collections=[collection])
builder.requireDataset(mergeType, collections=[collection])
builder.whereParsedExpression("abstract_filter = 'i'")
rows = list(builder.execute())
self.assertEqual(len(rows), 3*4*1) # 4 tracts x 4 patches x 2 filters
self.assertCountEqual(set(dataId["tract"] for dataId in rows), (1, 3, 5))
self.assertCountEqual(set(dataId["patch"] for dataId in rows), (2, 4, 6, 7))
self.assertCountEqual(set(dataId["abstract_filter"] for dataId in rows), ("i",))
# expression excludes everything, specifying non-existing skymap is
# not a fatal error, it's operator error
builder = DataIdQueryBuilder.fromDimensions(registry, dimensions)
builder.requireDataset(calexpType, collections=[collection])
builder.requireDataset(mergeType, collections=[collection])
builder.whereParsedExpression("skymap = 'Mars'")
rows = list(builder.execute())
self.assertEqual(len(rows), 0)
