rust/lancedb
1
0
Fork 0
mirror of https://github.com/lancedb/lancedb.git synced 2026-01-10 05:42:58 +00:00
Code Issues Packages Projects Releases Wiki Activity

initial changes to enable an in-memory dataset

Browse Source
This commit is contained in:
Chang She
2023-12-21 08:52:11 -08:00
parent 50c20af060
commit 89c8e5839b
2 changed files with 31 additions and 46 deletions
Download Patch File Download Diff File Expand all files Collapse all files

59
python/tests/test_table.py
View File

@@ -226,39 +226,38 @@ def test_versioning(db):
def test_create_index_method():
with patch.object(LanceTable, "_reset_dataset", return_value=None):
with patch.object(
LanceTable, "_dataset", new_callable=PropertyMock
) as mock_dataset:
# Setup mock responses
mock_dataset.return_value.create_index.return_value = None
with patch.object(
LanceTable, "_dataset", new_callable=PropertyMock
) as mock_dataset:
# Setup mock responses
mock_dataset.return_value.create_index.return_value = None
# Create a LanceTable object
connection = LanceDBConnection(uri="mock.uri")
table = LanceTable(connection, "test_table")
# Create a LanceTable object
connection = LanceDBConnection(uri="mock.uri")
table = LanceTable(connection, "test_table")
# Call the create_index method
table.create_index(
metric="L2",
num_partitions=256,
num_sub_vectors=96,
vector_column_name="vector",
replace=True,
index_cache_size=256,
)
# Call the create_index method
table.create_index(
metric="L2",
num_partitions=256,
num_sub_vectors=96,
vector_column_name="vector",
replace=True,
index_cache_size=256,
)
# Check that the _dataset.create_index method was called
# with the right parameters
mock_dataset.return_value.create_index.assert_called_once_with(
column="vector",
index_type="IVF_PQ",
metric="L2",
num_partitions=256,
num_sub_vectors=96,
replace=True,
accelerator=None,
index_cache_size=256,
)
# Check that the _dataset.create_index method was called
# with the right parameters
mock_dataset.return_value.create_index.assert_called_once_with(
column="vector",
index_type="IVF_PQ",
metric="L2",
num_partitions=256,
num_sub_vectors=96,
replace=True,
accelerator=None,
index_cache_size=256,
)
def test_add_with_nans(db):