def setUp(self):
db = SimpleGridDB()
db.inventory.label = "test"
db.inventory.queryType = "nearest"
db.inventory.filename = "data/grid.spatialdb"
db._configure()
self._db = db
def setUp(self):
db = SimpleGridDB()
db.inventory.label = "test"
db.inventory.queryType = "nearest"
db.inventory.filename = "data/grid.spatialdb"
db._configure()
self._db = db
return
def test_io(self):
from spatialdata.spatialdb.SimpleGridAscii import SimpleGridAscii
filename = "data/gridio.spatialdb"
x = numpy.array([-2.0, 0.0, 3.0], dtype=numpy.float64)
y = numpy.array([0.0, 1.0], dtype=numpy.float64)
z = numpy.array([-2.0, -1.0, 2.0], dtype=numpy.float64)
points = numpy.array(
[
[-2.0, 0.0, -2.0],
[-2.0, 1.0, -2.0],
[-2.0, 0.0, -1.0],
[-2.0, 1.0, -1.0],
[-2.0, 0.0, 2.0],
[-2.0, 1.0, 2.0],
[0.0, 0.0, -2.0],
[0.0, 1.0, -2.0], # query (5.7, 8.2)
[0.0, 0.0, -1.0],
[0.0, 1.0, -1.0],
[0.0, 0.0, 2.0],
[0.0, 1.0, 2.0],
[3.0, 0.0, -2.0],
[3.0, 1.0, -2.0],
[3.0, 0.0, -1.0],
[3.0, 1.0, -1.0],
[3.0, 0.0, 2.0],
[3.0, 1.0, 2.0],
],
dtype=numpy.float64,
)
one = numpy.array(
[6.6, 5.5, 2.3, 5.7, 6.3, 3.4, 7.2, 5.7, 3.4, 5.7, 9.4, 7.2, 4.8, 9.2, 5.8, 4.7, 7.8, 2.9],
dtype=numpy.float64,
)
two = numpy.array(
[3.4, 6.7, 4.1, 2.0, 6.7, 6.4, 6.8, 8.2, 9.8, 2.3, 8.5, 9.3, 7.5, 8.3, 8.5, 8.9, 6.2, 8.3],
dtype=numpy.float64,
)
cs = CSCart()
cs.initialize()
writer = SimpleGridAscii()
writer.inventory.filename = filename
writer._configure()
writer.write(
{
"points": points,
"x": x,
"y": y,
"z": z,
"coordsys": cs,
"data_dim": 3,
"values": [{"name": "one", "units": "m", "data": one}, {"name": "two", "units": "m", "data": two}],
}
)
db = SimpleGridDB()
db.inventory.label = "test"
db.inventory.queryType = "nearest"
db.inventory.filename = filename
db._configure()
self._db = db
locs = numpy.array([[0.1, 0.95, -1.8]], numpy.float64)
cs = CSCart()
cs._configure()
queryVals = ["two", "one"]
dataE = numpy.array([[8.2, 5.7]], numpy.float64)
errE = [0]
db = self._db
db.open()
db.queryVals(queryVals)
data = numpy.zeros(dataE.shape, dtype=numpy.float64)
err = []
nlocs = locs.shape[0]
for i in xrange(nlocs):
e = db.query(data[i, :], locs[i, :], cs)
err.append(e)
db.close()
self.assertEqual(len(errE), len(err))
for vE, v in zip(errE, err):
self.assertEqual(vE, v)
self.assertEqual(len(dataE.shape), len(data.shape))
for dE, d in zip(dataE.shape, data.shape):
self.assertEqual(dE, d)
for vE, v in zip(numpy.reshape(dataE, -1), numpy.reshape(data, -1)):
self.assertAlmostEqual(vE, v, 6)
return
def test_io_3d(self):
from spatialdata.spatialdb.SimpleGridAscii import SimpleGridAscii
filename = "data/gridio3d.spatialdb"
x = numpy.array([-2.0, 0.0, 3.0], dtype=numpy.float64)
y = numpy.array([0.0, 1.0], dtype=numpy.float64)
z = numpy.array([-2.0, -1.0, 2.0], dtype=numpy.float64)
points = numpy.array(
[
[-2.0, 0.0, -2.0],
[-2.0, 1.0, -2.0],
[-2.0, 0.0, -1.0],
[-2.0, 1.0, -1.0],
[-2.0, 0.0, 2.0],
[-2.0, 1.0, 2.0],
[0.0, 0.0, -2.0],
[0.0, 1.0, -2.0], # query (5.7, 8.2)
[0.0, 0.0, -1.0],
[0.0, 1.0, -1.0],
[0.0, 0.0, 2.0],
[0.0, 1.0, 2.0],
[3.0, 0.0, -2.0],
[3.0, 1.0, -2.0],
[3.0, 0.0, -1.0],
[3.0, 1.0, -1.0],
[3.0, 0.0, 2.0],
[3.0, 1.0, 2.0],
],
dtype=numpy.float64)
one = numpy.array([
6.6, 5.5, 2.3, 5.7, 6.3, 3.4, 7.2, 5.7, 3.4, 5.7, 9.4, 7.2, 4.8,
9.2, 5.8, 4.7, 7.8, 2.9
],
dtype=numpy.float64)
two = numpy.array([
3.4, 6.7, 4.1, 2.0, 6.7, 6.4, 6.8, 8.2, 9.8, 2.3, 8.5, 9.3, 7.5,
8.3, 8.5, 8.9, 6.2, 8.3
],
dtype=numpy.float64)
cs = CSCart()
cs.initialize()
writer = SimpleGridAscii()
writer.inventory.filename = filename
writer._configure()
writer.write({
'points':
points,
'x':
x,
'y':
y,
'z':
z,
'coordsys':
cs,
'data_dim':
3,
'values': [
{
'name': "one",
'units': "m",
'data': one
},
{
'name': "two",
'units': "m",
'data': two
},
]
})
db = SimpleGridDB()
db.inventory.label = "test"
db.inventory.queryType = "nearest"
db.inventory.filename = filename
db._configure()
self._db = db
locs = numpy.array([[0.1, 0.95, -1.8]], numpy.float64)
cs = CSCart()
cs._configure()
queryVals = ["two", "one"]
dataE = numpy.array([[8.2, 5.7]], numpy.float64)
errE = [0]
db = self._db
db.open()
db.queryVals(queryVals)
data = numpy.zeros(dataE.shape, dtype=numpy.float64)
err = []
nlocs = locs.shape[0]
for i in xrange(nlocs):
e = db.query(data[i, :], locs[i, :], cs)
err.append(e)
db.close()
self.assertEqual(len(errE), len(err))
for vE, v in zip(errE, err):
self.assertEqual(vE, v)
self.assertEqual(len(dataE.shape), len(data.shape))
for dE, d in zip(dataE.shape, data.shape):
self.assertEqual(dE, d)
for vE, v in zip(numpy.reshape(dataE, -1), numpy.reshape(data, -1)):
self.assertAlmostEqual(vE, v, 6)
return
def test_io_2d(self):
from spatialdata.spatialdb.SimpleGridAscii import SimpleGridAscii
filename = "data/gridio2d.spatialdb"
x = numpy.array([-2.0, 0.0, 3.0], dtype=numpy.float64)
y = numpy.array([0.0, 1.0], dtype=numpy.float64)
points = numpy.array([
[-2.0, 0.0],
[-2.0, 1.0],
[ 0.0, 0.0],
[ 0.0, 1.0], # query (5.7, 8.2)
[ 3.0, 0.0],
[ 3.0, 1.0],
], dtype=numpy.float64)
one = numpy.array([6.6, 5.5, 7.2, 5.7, 4.8, 9.2], dtype=numpy.float64)
two = numpy.array([3.4, 6.7, 6.8, 8.2, 7.5, 8.3], dtype=numpy.float64)
cs = CSCart()
cs.inventory.spaceDim = 2
cs._configure()
cs.initialize()
writer = SimpleGridAscii()
writer.inventory.filename = filename
writer._configure()
writer.write({'points': points,
'x': x,
'y': y,
'coordsys': cs,
'data_dim': 2,
'values': [{'name': "one",
'units': "m",
'data': one},
{'name': "two",
'units': "m",
'data': two},
]})
db = SimpleGridDB()
db.inventory.label = "test"
db.inventory.queryType = "nearest"
db.inventory.filename = filename
db._configure()
self._db = db
locs = numpy.array( [[0.1, 0.95]], numpy.float64)
queryVals = ["two", "one"]
dataE = numpy.array( [[8.2, 5.7]], numpy.float64)
errE = [0]
db = self._db
db.open()
db.queryVals(queryVals)
data = numpy.zeros(dataE.shape, dtype=numpy.float64)
err = []
nlocs = locs.shape[0]
for i in xrange(nlocs):
e = db.query(data[i,:], locs[i,:], cs)
err.append(e)
db.close()
self.assertEqual(len(errE), len(err))
for vE, v in zip(errE, err):
self.assertEqual(vE, v)
self.assertEqual(len(dataE.shape), len(data.shape))
for dE, d in zip(dataE.shape, data.shape):
self.assertEqual(dE, d)
for vE, v in zip(numpy.reshape(dataE, -1), numpy.reshape(data, -1)):
self.assertAlmostEqual(vE, v, 6)
return
