use parametrized constructor to reduce tests

delta-io · Nov 17, 2023 · 0e29368 · 0e29368
1 parent c298be9
commit 0e29368
Showing 1 changed file with 21 additions and 68 deletions.
diff --git a/python/tests/test_writer.py b/python/tests/test_writer.py
@@ -304,88 +304,41 @@ def test_write_iterator(
     assert DeltaTable(tmp_path).to_pyarrow_table() == sample_data
 
 
-@pytest.parametrize("large_dtypes", [True, False])
-@pytest.parametrize("constructor", [
-    lambda table: table.to_pyarrow_dataset(),
-    lambda table: table.to_pyarrow_table(),
-    lambda table: table.to_pyarrow_table().to_batches()[0]
-])
-def test_write_dataset(
-    tmp_path: pathlib.Path, existing_table: DeltaTable, sample_data: pa.Table,
-    large_dtypes: bool, constructor
+@pytest.mark.parametrize("large_dtypes", [True, False])
+@pytest.mark.parametrize(
+    "constructor",
+    [
+        lambda table: table.to_pyarrow_dataset(),
+        lambda table: table.to_pyarrow_table(),
+        lambda table: table.to_pyarrow_table().to_batches()[0],
+    ],
+)
+def test_write_dataset_table_recordbatch(
+    tmp_path: pathlib.Path,
+    existing_table: DeltaTable,
+    sample_data: pa.Table,
+    large_dtypes: bool,
+    constructor,
 ):
     dataset = constructor(existing_table)
 
     write_deltalake(tmp_path, dataset, mode="overwrite", large_dtypes=large_dtypes)
     assert DeltaTable(tmp_path).to_pyarrow_table() == sample_data
 
 
-def test_write_dataset_large_types(
-    tmp_path: pathlib.Path, existing_table: DeltaTable, sample_data: pa.Table
-):
-    dataset = existing_table.to_pyarrow_dataset()
-
-    write_deltalake(tmp_path, dataset, mode="overwrite", large_dtypes=True)
-    assert DeltaTable(tmp_path).to_pyarrow_table() == sample_data
-
-
-def test_write_table(
-    tmp_path: pathlib.Path, existing_table: DeltaTable, sample_data: pa.Table
-):
-    dataset = existing_table.to_pyarrow_table()
-
-    write_deltalake(tmp_path, dataset, mode="overwrite")
-    assert DeltaTable(tmp_path).to_pyarrow_table() == sample_data
-
-
-def test_write_table_large_dtypes(
-    tmp_path: pathlib.Path, existing_table: DeltaTable, sample_data: pa.Table
-):
-    dataset = existing_table.to_pyarrow_table()
-
-    write_deltalake(tmp_path, dataset, mode="overwrite", large_dtypes=True)
-    assert DeltaTable(tmp_path).to_pyarrow_table() == sample_data
-
-
-def test_write_recordbatch(
-    tmp_path: pathlib.Path, existing_table: DeltaTable, sample_data: pa.Table
-):
-    batch = existing_table.to_pyarrow_table().to_batches()
-
-    write_deltalake(tmp_path, batch[0], mode="overwrite")
-    assert DeltaTable(tmp_path).to_pyarrow_table() == sample_data
-
-
-def test_write_recordbatch_large_dtypes(
-    tmp_path: pathlib.Path, existing_table: DeltaTable, sample_data: pa.Table
-):
-    batch = existing_table.to_pyarrow_table().to_batches()
-
-    write_deltalake(tmp_path, batch[0], mode="overwrite", large_dtypes=True)
-    assert DeltaTable(tmp_path).to_pyarrow_table() == sample_data
-
-
+@pytest.mark.parametrize("large_dtypes", [True, False])
 def test_write_recordbatchreader(
-    tmp_path: pathlib.Path, existing_table: DeltaTable, sample_data: pa.Table
-):
-    batches = existing_table.to_pyarrow_dataset().to_batches()
-    reader = RecordBatchReader.from_batches(
-        existing_table.to_pyarrow_dataset().schema, batches
-    )
-
-    write_deltalake(tmp_path, reader, mode="overwrite")
-    assert DeltaTable(tmp_path).to_pyarrow_table() == sample_data
-
-
-def test_write_recordbatchreader_large_dtypes(
-    tmp_path: pathlib.Path, existing_table: DeltaTable, sample_data: pa.Table
+    tmp_path: pathlib.Path,
+    existing_table: DeltaTable,
+    sample_data: pa.Table,
+    large_dtypes: bool,
 ):
     batches = existing_table.to_pyarrow_dataset().to_batches()
     reader = RecordBatchReader.from_batches(
         existing_table.to_pyarrow_dataset().schema, batches
     )
 
-    write_deltalake(tmp_path, reader, mode="overwrite", large_dtypes=True)
+    write_deltalake(tmp_path, reader, mode="overwrite", large_dtypes=large_dtypes)
     assert DeltaTable(tmp_path).to_pyarrow_table() == sample_data