File size: 1,555 Bytes
2c3c408 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | import numpy as np
import pytest
import tiledb
from tiledb.tests.common import DiskTestCase
class QueryTest(DiskTestCase):
@pytest.mark.skipif(
tiledb.libtiledb.version()[0] == 2 and tiledb.libtiledb.version()[1] < 15,
reason="dimension labels requires libtiledb version 2.15 or greater",
)
def test_label_range_query(self):
# Create array schema with dimension labels
dim = tiledb.Dim("d1", domain=(1, 10))
dom = tiledb.Domain(dim)
att = tiledb.Attr("a1", dtype=np.int64)
dim_labels = {0: {"l1": dim.create_label_schema("increasing", np.int64)}}
schema = tiledb.ArraySchema(domain=dom, attrs=(att,), dim_labels=dim_labels)
# Create array
uri = self.path("dense_array_with_label")
tiledb.Array.create(uri, schema)
# Write data to the array and the label
attr_data = np.arange(11, 21)
label_data = np.arange(-10, 0)
with tiledb.open(uri, "w") as array:
array[:] = {"a1": attr_data, "l1": label_data}
# Read and check the data using label indexer on parent array
with tiledb.open(uri, "r") as array:
input_subarray = tiledb.Subarray(array)
input_subarray.add_label_range("l1", (-10, -10))
input_subarray.add_label_range("l1", (-8, -6))
query = tiledb.Query(array)
query.set_subarray(input_subarray)
query.submit()
output_subarray = query.subarray()
assert output_subarray.num_dim_ranges(0) == 2
|