def _makePixelRanges():
"""Generate pixel ID ranges for some envelope region"""
pointing_v = UnitVector3d(1., 1., -1.)
fov = 0.05 # radians
region = Circle(pointing_v, Angle(fov / 2))
pixelator = HtmPixelization(HTM_LEVEL)
indices = pixelator.envelope(region, 128)
return indices.ranges()
def test_index_to_string(self):
strings = ['S0', 'S1', 'S2', 'S3', 'N0', 'N1', 'N2', 'N3']
for i in range(8, 16):
s0 = strings[i - 8]
self.assertEqual(HtmPixelization.asString(i), s0)
self.assertEqual(HtmPixelization(0).toString(i), s0)
for j in range(4):
s1 = s0 + str(j)
self.assertEqual(HtmPixelization.asString(i * 4 + j), s1)
self.assertEqual(HtmPixelization(1).asString(i * 4 + j), s1)
def _makeDiaObjects(self, sources, indices, dt):
"""Over-simplified implementation of source-to-object matching and
new DiaObject generation.
Currently matching is based on info passed along by source
generator and does not even use DiaObjects from database.
Parameters
----------
sources : `numpy.array`
(x, y, z) coordinates of sources, array dimension is (N, 3)
indices : `numpy.array`
array of indices of sources, 1-dim ndarray, transient sources
have negative indices
dt : `datetime.datetime`
Visit time.
Returns
-------
`afw.table.BaseCatalog`
"""
schema = self._makeDiaObjectSchema()
catalog = afwTable.SourceCatalog(schema)
n_trans = 0
for i in range(len(sources)):
var_idx = int(indices[i])
if var_idx == _OUTSIDER:
continue
xyz = sources[i]
if var_idx >= _TRANSIENT_START_ID:
n_trans += 1
v3d = Vector3d(xyz[0], xyz[1], xyz[2])
sp = SpherePoint(v3d)
dir_v = UnitVector3d(v3d)
pixelator = HtmPixelization(self.config.htm_level)
index = pixelator.index(dir_v)
record = catalog.addNew()
record.set("id", var_idx)
# record.set("validityStart", _utc_seconds(dt))
# record.set("validityEnd", 0)
# record.set("lastNonForcedSource", _utc_seconds(dt))
record.set("coord_ra", sp.getRa())
record.set("coord_dec", sp.getDec())
record.set("pixelId", index)
_LOG.info('found %s matching objects and %s transients/noise', len(catalog) - n_trans, n_trans)
return catalog
def _makeDiaSources(self, sources, indices, visit_id):
"""Generate catalog of DiaSources to store in a database
Parameters
----------
sources : `numpy.ndarray`
(x, y, z) coordinates of sources, array dimension is (N, 3)
indices : `numpy.array`
array of indices of sources, 1-dim ndarray, transient sources
have negative indices
visit_id : `int`
ID of the visit
Returns
-------
`afw.table.BaseCatalog`
"""
schema = self._makeDiaSourceSchema()
catalog = afwTable.BaseCatalog(schema)
for i in range(len(sources)):
var_idx = int(indices[i])
if var_idx == _OUTSIDER:
continue
xyz = sources[i]
v3d = Vector3d(xyz[0], xyz[1], xyz[2])
sp = SpherePoint(v3d)
dir_v = UnitVector3d(v3d)
pixelator = HtmPixelization(self.config.htm_level)
index = pixelator.index(dir_v)
self.lastSourceId += 1
record = catalog.addNew()
record.set("id", self.lastSourceId)
record.set("ccdVisitId", visit_id)
record.set("diaObjectId", var_idx)
record.set("parent", 0)
record.set("coord_ra", sp.getRa())
record.set("coord_dec", sp.getDec())
record.set("flags", 0)
record.set("pixelId", index)
return catalog
def _htm_indices(self, region):
"""Generate a set of HTM indices covering specified field of view.
Parameters
----------
region: `sphgeom.Region`
Region that needs to be indexed
Returns
-------
Sequence of ranges, range is a tuple (minHtmID, maxHtmID).
"""
_LOG.debug('region: %s', region)
pixelator = HtmPixelization(self.config.htm_level)
indices = pixelator.envelope(region, self.config.htm_max_ranges)
for irange in indices.ranges():
_LOG.debug('range: %s %s', pixelator.toString(irange[0]),
pixelator.toString(irange[1]))
return indices.ranges()
def test_construction(self):
with self.assertRaises(ValueError):
HtmPixelization(-1)
with self.assertRaises(ValueError):
HtmPixelization(HtmPixelization.MAX_LEVEL + 1)
h1 = HtmPixelization(0)
self.assertEqual(h1.getLevel(), 0)
h2 = HtmPixelization(1)
h3 = HtmPixelization(h2)
self.assertNotEqual(h1, h2)
self.assertEqual(h2, h3)
def test_envelope_and_interior(self):
pixelization = HtmPixelization(3)
c = Circle(UnitVector3d(1, 1, 1), Angle.fromDegrees(0.1))
rs = pixelization.envelope(c)
self.assertTrue(rs == RangeSet(0x3ff))
rs = pixelization.envelope(c, 1)
self.assertTrue(rs == RangeSet(0x3ff))
self.assertTrue(rs.isWithin(pixelization.universe()))
rs = pixelization.interior(c)
self.assertTrue(rs.empty())
def test_pickle(self):
a = HtmPixelization(20)
b = pickle.loads(pickle.dumps(a))
self.assertEqual(a, b)
def test_string(self):
p = HtmPixelization(3)
self.assertEqual(str(p), 'HtmPixelization(3)')
self.assertEqual(str(p), repr(p))
self.assertEqual(p, eval(repr(p),
dict(HtmPixelization=HtmPixelization)))
def test_level(self):
for index in (0, 16 * 4**HtmPixelization.MAX_LEVEL):
self.assertEqual(HtmPixelization.level(index), -1)
for level in range(HtmPixelization.MAX_LEVEL + 1):
for root in range(8, 16):
self.assertEqual(HtmPixelization.level(root * 4**level), level)
def test_pixel(self):
h = HtmPixelization(1)
self.assertIsInstance(h.pixel(10), ConvexPolygon)
def test_indexing(self):
h = HtmPixelization(1)
self.assertEqual(h.index(UnitVector3d(1, 1, 1)), 63)
def main():
descr = 'Quick and dirty simulation of sky partitioning and CCD overlaps.'
parser = ArgumentParser(description=descr)
parser.add_argument('-v', '--verbose', action='count', default=0,
help='More verbose output, can use several times.')
parser.add_argument('-m', '--mode', default='htm',
choices=["htm", "q3c", "mq3c"],
help='Partitioning mode, def: %(default)s')
parser.add_argument('--level', type=int, default=8,
help='Pixelization level, def: %(default)s')
parser.add_argument('-n', '--counts', type=int, default=1000,
help='Number of visits, def: %(default)s')
parser.add_argument('--pixels-per-tile', default=None,
help='Output file name for pixels-per-tile')
parser.add_argument('--tiles-per-pixel', default=None,
help='Output file name for pixels-per-tile')
args = parser.parse_args()
# configure logging
_configLogger(args.verbose)
if args.mode == 'htm':
pixelator = HtmPixelization(args.level)
lvlchk = pixelator.level
poly = pixelator.triangle
elif args.mode == 'q3c':
pixelator = Q3cPixelization(args.level)
lvlchk = None
poly = pixelator.quad
elif args.mode == 'mq3c':
pixelator = Mq3cPixelization(args.level)
lvlchk = pixelator.level
poly = pixelator.quad
pixels_per_tile = []
area_per_tile = []
tiles_per_pixel = []
for i in range(args.counts):
pointing_xyz = generators.rand_sphere_xyz(1, -1)[0]
pointing_v = UnitVector3d(pointing_xyz[0], pointing_xyz[1], pointing_xyz[2])
rot_ang = random.uniform(0., 2*math.pi)
tiles = geom.make_square_tiles(FOV_rad, 15, 15, pointing_v, rot_rad=rot_ang)
# for each tile find all pixels that overlap it
pixel_tiles = dict()
for ix, iy, tile in tiles:
ranges = pixelator.envelope(tile, 1000000)
tile_pixels = 0
tile_area = 0.
for i0, i1 in ranges:
for pixId in range(i0, i1):
if lvlchk is not None and lvlchk(pixId) != args.level:
logging.warning("tile %dx%d not fully pixelized: %d-%d", ix, iy, i0, i1)
else:
tile_pixels += 1
pixel_tiles.setdefault(pixId, 0)
pixel_tiles[pixId] += 1
if poly:
tile_area += geom.poly_area(poly(pixId)) * (180/math.pi)**2
pixels_per_tile.append(tile_pixels)
area_per_tile.append(tile_area)
for count in pixel_tiles.values():
tiles_per_pixel.append(count)
avg_area = sum(area_per_tile) / len(area_per_tile)
print("pixels_per_tile: {:.2f}".format(sum(pixels_per_tile)/len(pixels_per_tile)))
print("area_per_tile: {:.6f} deg^2".format(avg_area))
print("tiles_per_pixel: {:.2f}".format(sum(tiles_per_pixel)/len(tiles_per_pixel)))
if args.pixels_per_tile:
with open(args.pixels_per_tile, 'w') as f:
print("pixels,area_deg_sq", file=f)
for pix, area in zip(pixels_per_tile, area_per_tile):
print(f"{pix},{area}", file=f)
if args.tiles_per_pixel:
with open(args.tiles_per_pixel, 'w') as f:
print("tiles", file=f)
for num in tiles_per_pixel:
print(num, file=f)
def getDatasetHandle(self, parq):
df = parq._df
lo, hi = HtmPixelization(7).universe().ranges()[0]
value = np.random.randint(lo, hi)
ref = self.butler.put(df, self.datasetType, dataId={'htm7': value})
return self.butler.getDeferred(ref)
def test_yaml(self):
a = HtmPixelization(20)
b = yaml.safe_load(yaml.dump(a))
self.assertEqual(a, b)
