| import tempfile |
| from pathlib import Path |
|
|
| import numpy as np |
| from numpy.testing import assert_array_equal |
|
|
| import tiledb |
|
|
| from .common import DiskTestCase |
|
|
|
|
| class UtilTest(DiskTestCase): |
| def test_empty_like(self): |
| arr = np.zeros((10, 10), dtype=np.float32) |
|
|
| def check_schema(self, s): |
| self.assertEqual(s.attr(0).dtype, np.float32) |
| self.assertEqual(s.shape, (10, 10)) |
| self.assertEqual(s.domain.dim(0).shape, (10,)) |
| self.assertEqual(s.domain.dim(1).shape, (10,)) |
|
|
| with self.assertRaises(ValueError): |
| tiledb.schema_like("", None) |
|
|
| schema = tiledb.schema_like(arr, tile=1) |
| self.assertIsInstance(schema, tiledb.ArraySchema) |
| check_schema(self, schema) |
|
|
| uri = self.path("empty_like") |
| T = tiledb.empty_like(uri, arr) |
| check_schema(self, T.schema) |
| self.assertEqual(T.shape, arr.shape) |
| self.assertEqual(T.dtype, arr.dtype) |
|
|
| uri = self.path("empty_like_shape") |
| T = tiledb.empty_like(uri, arr.shape, dtype=arr.dtype) |
| check_schema(self, T.schema) |
| self.assertEqual(T.shape, arr.shape) |
| self.assertEqual(T.dtype, arr.dtype) |
|
|
| |
| class FakeArray(object): |
| def __init__(self, shape, dtype): |
| self.shape = shape |
| self.ndim = len(shape) |
| self.dtype = dtype |
|
|
| fake = FakeArray((3, 3), np.int16) |
| schema2 = tiledb.empty_like(self.path("fake_like"), fake) |
| self.assertIsInstance(schema2, tiledb.Array) |
| self.assertEqual(schema2.shape, fake.shape) |
| self.assertEqual(schema2.dtype, fake.dtype) |
| self.assertEqual(schema2.ndim, fake.ndim) |
|
|
| |
| schema3 = tiledb.schema_like(shape=(4, 4), dtype=np.float32) |
| self.assertIsInstance(schema3, tiledb.ArraySchema) |
| self.assertEqual(schema3.attr(0).dtype, np.float32) |
| self.assertEqual(schema3.domain.dim(0).tile, 4) |
| schema3 = tiledb.schema_like(shape=(4, 4), dtype=np.float32, tile=1) |
| self.assertEqual(schema3.domain.dim(0).tile, 1) |
|
|
| def test_open(self): |
| uri = self.path("load") |
| with tiledb.from_numpy(uri, np.array(np.arange(3))) as T: |
| with tiledb.open(uri) as T2: |
| self.assertEqual(T.schema, T2.schema) |
| assert_array_equal(T, T2) |
|
|
| def test_save(self): |
| uri = self.path("test_save") |
| arr = np.array(np.arange(3)) |
| with tiledb.save(uri, arr): |
| with tiledb.open(uri) as T: |
| assert_array_equal(arr, T) |
|
|
| def test_array_exists(self): |
| with tempfile.NamedTemporaryFile() as tmpfn: |
| self.assertFalse(tiledb.array_exists(tmpfn.name)) |
|
|
| uri = self.path("test_array_exists_dense") |
| with tiledb.from_numpy(uri, np.arange(0, 5)) as T: |
| self.assertTrue(tiledb.array_exists(uri)) |
| self.assertTrue(tiledb.array_exists(uri, isdense=True)) |
| self.assertFalse(tiledb.array_exists(uri, issparse=True)) |
|
|
| uri = self.path("test_array_exists_sparse") |
| dom = tiledb.Domain(tiledb.Dim(domain=(0, 3), tile=4, dtype=int)) |
| att = tiledb.Attr(dtype=int) |
| schema = tiledb.ArraySchema(domain=dom, attrs=(att,), sparse=True) |
| tiledb.Array.create(uri, schema) |
|
|
| with tiledb.SparseArray(uri, mode="w") as T: |
| T[[0, 1]] = np.array([0, 1]) |
|
|
| self.assertTrue(tiledb.array_exists(uri)) |
| self.assertTrue(tiledb.array_exists(uri, issparse=True)) |
| self.assertFalse(tiledb.array_exists(uri, isdense=True)) |
|
|
| uri3 = self.path("test_array_exists_deleted") |
| with tiledb.from_numpy(uri3, np.arange(0, 5)) as T: |
| self.assertTrue(tiledb.array_exists(uri3)) |
| tiledb.Array.delete_array(uri3) |
| self.assertFalse(tiledb.array_exists(uri3)) |
|
|
| |
| ctx = tiledb.Ctx() |
| self.assertFalse(tiledb.array_exists(uri3, ctx=ctx)) |
| with tiledb.from_numpy(uri3, np.arange(0, 5), ctx=ctx) as T: |
| self.assertTrue(tiledb.array_exists(uri3, ctx=ctx)) |
|
|
| def test_ls(self): |
| def create_array(array_name, sparse): |
| dom = tiledb.Domain( |
| tiledb.Dim(name="rows", domain=(1, 4), tile=4, dtype=np.int32), |
| tiledb.Dim(name="cols", domain=(1, 4), tile=4, dtype=np.int32), |
| ) |
| schema = tiledb.ArraySchema( |
| domain=dom, sparse=sparse, attrs=[tiledb.Attr(name="a", dtype=np.int32)] |
| ) |
| tiledb.Array.create(array_name, schema) |
|
|
| uri = tempfile.mkdtemp() |
|
|
| tiledb.group_create(str(Path(uri) / "my_group")) |
| tiledb.group_create(str(Path(uri) / "my_group" / "dense_arrays")) |
| tiledb.group_create(str(Path(uri) / "my_group" / "sparse_arrays")) |
|
|
| create_array(str(Path(uri) / "my_group" / "dense_arrays" / "array_A"), False) |
| create_array(str(Path(uri) / "my_group" / "dense_arrays" / "array_B"), False) |
| create_array(str(Path(uri) / "my_group" / "sparse_arrays" / "array_C"), True) |
| create_array(str(Path(uri) / "my_group" / "sparse_arrays" / "array_D"), True) |
|
|
| group_uri = "{}/my_group".format(uri) |
| |
| results = [] |
| tiledb.ls( |
| group_uri, |
| lambda obj_path, obj_type: results.append((Path(obj_path).name, obj_type)), |
| ) |
| self.assertEqual( |
| results, |
| [ |
| ("dense_arrays", "group"), |
| ("sparse_arrays", "group"), |
| ], |
| ) |
|
|
| |
| dense_arrays_uri = "{}/my_group/dense_arrays".format(uri) |
| results = [] |
| tiledb.ls( |
| dense_arrays_uri, |
| lambda obj_path, obj_type: results.append((Path(obj_path).name, obj_type)), |
| ) |
| self.assertEqual( |
| results, |
| [ |
| ("array_A", "array"), |
| ("array_B", "array"), |
| ], |
| ) |
|
|
| |
| with self.assertRaises(tiledb.TileDBError) as excinfo: |
| tiledb.ls(dense_arrays_uri, lambda x, y: 1 / 0) |
| assert "ZeroDivisionError: division by zero" in str(excinfo.value) |
|
|
| def test_object_type(self): |
| uri = self.path("test_object_type") |
|
|
| |
| self.assertIsNone(tiledb.object_type(uri)) |
|
|
| |
| with tiledb.from_numpy(uri, np.arange(0, 5)) as T: |
| self.assertEqual(tiledb.object_type(uri), "array") |
| tiledb.Array.delete_array(uri) |
|
|
| |
| tiledb.group_create(uri) |
| self.assertEqual(tiledb.object_type(uri), "group") |
|
|