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11.7 kB
| import xml.etree.ElementTree | |
| import numpy as np | |
| import pytest | |
| from numpy.testing import assert_array_equal | |
| import tiledb | |
| from tiledb.tests.common import DiskTestCase, assert_captured | |
| class ArraySchemaTest(DiskTestCase): | |
| def test_schema_basic(self): | |
| dom = tiledb.Domain( | |
| tiledb.Dim("d1", (1, 4), 2, dtype="u8"), | |
| tiledb.Dim("d2", (1, 4), 2, dtype="u8"), | |
| ) | |
| attr1 = tiledb.Attr("foo", dtype=float) | |
| attr2 = tiledb.Attr("foo", dtype=int) | |
| # test unique attributes | |
| with self.assertRaises(tiledb.TileDBError): | |
| tiledb.ArraySchema(domain=dom, attrs=(attr1, attr2)) | |
| # test schema.check | |
| schema = tiledb.ArraySchema(domain=dom, attrs=(attr1,)) | |
| # valid schema does not raise | |
| schema.check() | |
| try: | |
| assert xml.etree.ElementTree.fromstring(schema._repr_html_()) is not None | |
| except: | |
| pytest.fail( | |
| f"Could not parse schema._repr_html_(). Saw {schema._repr_html_()}" | |
| ) | |
| def test_dense_array_schema(self): | |
| domain = tiledb.Domain( | |
| tiledb.Dim(domain=(1, 8), tile=2), tiledb.Dim(domain=(1, 8), tile=2) | |
| ) | |
| a1 = tiledb.Attr("val", dtype="f8") | |
| schema = tiledb.ArraySchema(domain=domain, attrs=(a1,)) | |
| assert schema.sparse is False | |
| assert schema.cell_order == "row-major" | |
| assert schema.tile_order == "row-major" | |
| assert schema.domain == domain | |
| assert schema.ndim == 2 | |
| assert schema.shape == (8, 8) | |
| assert schema.nattr == 1 | |
| assert schema.domain.homogeneous is True | |
| assert hasattr(schema, "version") # don't pin to a specific version | |
| assert schema.attr(0) == a1 | |
| assert schema.has_attr("val") is True | |
| assert schema.has_attr("nononoattr") is False | |
| assert schema == tiledb.ArraySchema(domain=domain, attrs=(a1,)) | |
| assert schema != tiledb.ArraySchema(domain=domain, attrs=(a1,), sparse=True) | |
| with self.assertRaises(tiledb.TileDBError): | |
| schema.allows_duplicates | |
| # test iteration over attributes | |
| assert list(schema) == [a1] | |
| with self.assertRaisesRegex( | |
| tiledb.TileDBError, | |
| "Cannot set cell order; Hilbert order is only applicable to sparse arrays", | |
| ): | |
| tiledb.ArraySchema( | |
| domain=domain, attrs=(a1,), sparse=False, cell_order="hilbert" | |
| ) | |
| def test_dense_array_schema_fp_domain_error(self): | |
| dom = tiledb.Domain(tiledb.Dim(domain=(1, 8), tile=2, dtype=np.float64)) | |
| att = tiledb.Attr("val", dtype=np.float64) | |
| with self.assertRaises(tiledb.TileDBError): | |
| tiledb.ArraySchema(domain=dom, attrs=(att,)) | |
| def test_dense_array_schema_invalid_cell_and_tile_order(self): | |
| dom = tiledb.Domain(tiledb.Dim(domain=(1, 8), tile=2, dtype=np.float64)) | |
| att = tiledb.Attr("val", dtype=np.float64) | |
| with self.assertRaises(ValueError): | |
| tiledb.ArraySchema(domain=dom, attrs=(att,), cell_order="invalid") | |
| with self.assertRaises(ValueError): | |
| tiledb.ArraySchema(domain=dom, attrs=(att,), tile_order="invalid") | |
| def test_sparse_schema(self): | |
| # create dimensions | |
| d1 = tiledb.Dim("d1", domain=(1, 1000), tile=10, dtype="uint64") | |
| d2 = tiledb.Dim("d2", domain=(101, 10000), tile=100, dtype="uint64") | |
| # create domain | |
| domain = tiledb.Domain(d1, d2) | |
| # create attributes | |
| a1 = tiledb.Attr("a1", dtype="int32,int32,int32") | |
| a2 = tiledb.Attr( | |
| "a2", filters=tiledb.FilterList([tiledb.GzipFilter(-1)]), dtype="int32" | |
| ) | |
| # create sparse array with schema | |
| coords_filters = tiledb.FilterList([tiledb.ZstdFilter(4)]) | |
| offsets_filters = tiledb.FilterList([tiledb.LZ4Filter(5)]) | |
| validity_filters = tiledb.FilterList([tiledb.GzipFilter(9)]) | |
| with pytest.warns( | |
| DeprecationWarning, | |
| match="coords_filters is deprecated; set the FilterList for each dimension", | |
| ): | |
| schema = tiledb.ArraySchema( | |
| domain=domain, | |
| attrs=(a1, a2), | |
| capacity=10, | |
| cell_order="col-major", | |
| tile_order="row-major", | |
| allows_duplicates=True, | |
| sparse=True, | |
| coords_filters=coords_filters, | |
| offsets_filters=offsets_filters, | |
| validity_filters=validity_filters, | |
| ) | |
| # schema.dump() | |
| # assert_captured(capfd, "Array type: sparse") | |
| assert schema.sparse is True | |
| assert schema.capacity == 10 | |
| assert schema.cell_order, "co == major" | |
| assert schema.tile_order, "ro == major" | |
| # <todo> | |
| # assert schema.coords_compressor, ('zstd' == 4) | |
| # assert schema.offsets_compressor, ('lz4' == 5) | |
| assert len(schema.coords_filters) == 0 | |
| assert len(schema.offsets_filters) == 1 | |
| assert len(schema.validity_filters) == 1 | |
| assert schema.domain == domain | |
| assert schema.ndim == 2 | |
| assert schema.shape, 1000 == 9900 | |
| assert schema.nattr == 2 | |
| assert schema.attr(0) == a1 | |
| assert schema.attr("a2") == a2 | |
| assert schema.allows_duplicates is True | |
| assert schema.domain.dim("d1").filters == coords_filters | |
| assert schema.domain.dim("d2").filters == coords_filters | |
| with pytest.warns( | |
| DeprecationWarning, | |
| match="coords_filters is deprecated; set the FilterList for each dimension", | |
| ): | |
| schema2 = tiledb.ArraySchema( | |
| domain=domain, | |
| attrs=(a1, a2), | |
| capacity=10, | |
| cell_order="col-major", | |
| tile_order="row-major", | |
| allows_duplicates=True, | |
| sparse=True, | |
| coords_filters=coords_filters, | |
| offsets_filters=offsets_filters, | |
| validity_filters=validity_filters, | |
| ) | |
| assert schema == schema2 | |
| # test iteration over attributes | |
| assert list(schema) == [a1, a2] | |
| with self.assertRaisesRegex( | |
| tiledb.TileDBError, | |
| "Cannot set tile order; Hilbert order is not applicable to tiles", | |
| ): | |
| tiledb.ArraySchema( | |
| domain=domain, attrs=(a1,), sparse=True, tile_order="hilbert" | |
| ) | |
| def test_sparse_schema_filter_list(self, capfd): | |
| # create dimensions | |
| d1 = tiledb.Dim("d1", domain=(1, 1000), tile=10, dtype="uint64") | |
| d2 = tiledb.Dim("d2", domain=(101, 10000), tile=100, dtype="uint64") | |
| # create domain | |
| domain = tiledb.Domain(d1, d2) | |
| # create attributes | |
| a1 = tiledb.Attr("a1", dtype="int32,int32,int32") | |
| filter_list = tiledb.FilterList([tiledb.GzipFilter()]) | |
| a2 = tiledb.Attr("a2", filters=filter_list, dtype="float32") | |
| off_filters_pylist = [tiledb.ZstdFilter(level=10)] | |
| off_filters = tiledb.FilterList(filters=off_filters_pylist, chunksize=2048) | |
| coords_filters_pylist = [tiledb.Bzip2Filter(level=5)] | |
| coords_filters = tiledb.FilterList( | |
| filters=coords_filters_pylist, chunksize=4096 | |
| ) | |
| validity_filters_pylist = [tiledb.GzipFilter(level=9)] | |
| validity_filters = tiledb.FilterList( | |
| filters=validity_filters_pylist, chunksize=1024 | |
| ) | |
| # create sparse array with schema | |
| with pytest.warns( | |
| DeprecationWarning, | |
| match="coords_filters is deprecated; set the FilterList for each dimension", | |
| ): | |
| schema = tiledb.ArraySchema( | |
| domain=domain, | |
| attrs=(a1, a2), | |
| capacity=10, | |
| cell_order="col-major", | |
| tile_order="row-major", | |
| coords_filters=coords_filters, | |
| offsets_filters=off_filters, | |
| validity_filters=validity_filters, | |
| sparse=True, | |
| ) | |
| self.assertTrue(schema.sparse) | |
| assert len(schema.coords_filters) == 0 | |
| assert len(schema.domain.dim("d1").filters) == 1 | |
| assert schema.domain.dim("d1").filters[0] == tiledb.Bzip2Filter(level=5) | |
| assert schema.domain.dim("d2").filters[0] == tiledb.Bzip2Filter(level=5) | |
| assert len(schema.offsets_filters) == 1 | |
| assert schema.offsets_filters[0] == tiledb.ZstdFilter(level=10) | |
| assert len(schema.validity_filters) == 1 | |
| assert schema.validity_filters[0] == tiledb.GzipFilter(level=9) | |
| schema.dump() | |
| assert_captured(capfd, "Array type: sparse") | |
| # make sure we can construct ArraySchema with python lists of filters | |
| with pytest.warns( | |
| DeprecationWarning, | |
| match="coords_filters is deprecated; set the FilterList for each dimension", | |
| ): | |
| schema2 = tiledb.ArraySchema( | |
| domain=domain, | |
| attrs=(a1, a2), | |
| capacity=10, | |
| cell_order="col-major", | |
| tile_order="row-major", | |
| coords_filters=coords_filters_pylist, | |
| offsets_filters=off_filters, | |
| validity_filters=validity_filters, | |
| sparse=True, | |
| ) | |
| assert len(schema2.coords_filters) == 0 | |
| assert schema.domain.dim("d1").filters == coords_filters_pylist | |
| assert schema.domain.dim("d2").filters == coords_filters_pylist | |
| assert len(schema2.domain.dim("d1").filters) == 1 | |
| assert schema2.domain.dim("d1").filters[0] == tiledb.Bzip2Filter(level=5) | |
| assert schema2.domain.dim("d2").filters[0] == tiledb.Bzip2Filter(level=5) | |
| assert len(schema2.offsets_filters) == 1 | |
| assert schema2.offsets_filters[0] == tiledb.ZstdFilter(level=10) | |
| assert len(schema2.validity_filters) == 1 | |
| assert schema2.validity_filters[0] == tiledb.GzipFilter(level=9) | |
| def test_none_filter_list(self): | |
| with self.assertRaises(ValueError): | |
| tiledb.FilterList([None]) | |
| with self.assertRaises(ValueError): | |
| fl = tiledb.FilterList() | |
| fl.append(None) | |
| def test_mixed_string_schema(self): | |
| path = self.path("test_mixed_string_schema") | |
| dims = [ | |
| tiledb.Dim(name="dpos", domain=(-100.0, 100.0), tile=10, dtype=np.float64), | |
| tiledb.Dim(name="str_index", tile=None, dtype=np.bytes_), | |
| ] | |
| dom = tiledb.Domain(*dims) | |
| attrs = [tiledb.Attr(name="val", dtype=np.float64)] | |
| schema = tiledb.ArraySchema(domain=dom, attrs=attrs, sparse=True) | |
| self.assertTrue(schema.domain.has_dim("str_index")) | |
| self.assertFalse(schema.domain.has_dim("nonono_str_index")) | |
| self.assertTrue(schema.domain.dim("str_index").isvar) | |
| self.assertFalse(schema.domain.dim("dpos").isvar) | |
| self.assertEqual(schema.domain.dim("dpos").dtype, np.double) | |
| self.assertEqual(schema.domain.dim("str_index").dtype, np.bytes_) | |
| self.assertFalse(schema.domain.homogeneous) | |
| tiledb.Array.create(path, schema) | |
| with tiledb.open(path, "r") as arr: | |
| assert_array_equal(arr[:]["str_index"], np.array([], dtype="|S1")) | |
| def test_schema_dump(self, capfd): | |
| dom = tiledb.Domain( | |
| tiledb.Dim(name="x", domain=(0, 99), tile=100, dtype=np.int64) | |
| ) | |
| schema = tiledb.ArraySchema( | |
| domain=dom, sparse=True, attrs=[tiledb.Attr(name="a", dtype=str)] | |
| ) | |
| schema.dump() | |
| assert_captured(capfd, "Array type: sparse") | |