jorisvandenbossche commented on code in PR #43974:
URL: https://github.com/apache/arrow/pull/43974#discussion_r1753445402
##########
python/pyarrow/tests/test_table.py:
##########
@@ -3737,3 +3753,185 @@ def test_recordbatch_non_cpu(cuda_context,
cpu_recordbatch, cuda_recordbatch,
# __dataframe__() test
with pytest.raises(NotImplementedError):
from_dataframe(cuda_recordbatch.__dataframe__())
+
+
+def verify_cuda_table(table, expected_schema):
+ table.validate()
+ assert table.is_cpu is False
+ assert table.num_columns == len(expected_schema.names)
+ assert table.column_names == expected_schema.names
+ assert str(table) in repr(table)
+ for c in table.columns:
+ assert c.is_cpu is False
+ for chunk in c.iterchunks():
+ assert chunk.is_cpu is False
+ assert chunk.device_type == pa.DeviceAllocationType.CUDA
+ assert table.schema == expected_schema
+
+
+def test_table_non_cpu(cuda_context, cpu_table, cuda_table,
+ cuda_arrays, cuda_recordbatch, schema):
+ verify_cuda_table(cuda_table, expected_schema=schema)
+
+ # shape test
+ assert cuda_table.shape == (10, 2)
+
+ # columns() test
+ assert len(cuda_table.columns) == 2
+
+ # add_column(), set_column() test
+ for fn in [cuda_table.add_column, cuda_table.set_column]:
+ col = pa.array([1] * cuda_table.num_rows, pa.int8()
+ ).copy_to(cuda_context.memory_manager)
+ new_table = fn(2, 'c2', col)
+ verify_cuda_table(new_table, expected_schema=schema.append(
+ pa.field('c2', pa.int8())))
+
+ # remove_column() test
+ new_table = cuda_table.remove_column(1)
+ verify_cuda_table(new_table, expected_schema=schema.remove(1))
+
+ # drop_columns() test
+ new_table = cuda_table.drop_columns(['c1'])
+ verify_cuda_table(new_table, expected_schema=schema.remove(1))
+
+ # select() test
+ new_table = cuda_table.select(['c0'])
+ verify_cuda_table(new_table, expected_schema=schema.remove(1))
+
+ # cast() test
+ new_schema = pa.schema([pa.field('c0', pa.int64()), pa.field('c1',
pa.int64())])
+ with pytest.raises(NotImplementedError):
+ cuda_table.cast(new_schema)
+
+ # drop_null() test
+ null_col = pa.array([1] * cuda_table.num_rows,
+ mask=[True] * cuda_table.num_rows).copy_to(
+ cuda_context.memory_manager)
+ cuda_table_with_nulls = cuda_table.add_column(2, 'c2', null_col)
+ with pytest.raises(NotImplementedError):
+ cuda_table_with_nulls.drop_null()
+
+ # filter() test
+ with pytest.raises(NotImplementedError):
+ cuda_table.filter([True] * cuda_table.num_rows)
+
+ # take() test
+ with pytest.raises(NotImplementedError):
+ cuda_table.take([0])
+
+ # sort_by() test
+ with pytest.raises(NotImplementedError):
+ cuda_table.sort_by('c0')
+
+ # field() test
+ assert cuda_table.field(0) == schema.field(0)
+ assert cuda_table.field(1) == schema.field(1)
+
+ # equals() test
+ with pytest.raises(NotImplementedError):
+ assert cuda_table.equals(cpu_table)
+
+ # from_arrays() test
+ new_table = pa.Table.from_arrays(cuda_arrays, ['c0', 'c1'])
+ verify_cuda_table(new_table, expected_schema=schema)
+
+ # from_pydict() test
+ new_table = pa.Table.from_pydict({'c0': cuda_arrays[0], 'c1':
cuda_arrays[1]})
+ verify_cuda_table(new_table, expected_schema=schema)
+
+ # from_struct_array() test
+ fields = [schema.field(i) for i in range(len(schema.names))]
+ struct_array = pa.StructArray.from_arrays(cuda_arrays, fields=fields)
+ with pytest.raises(NotImplementedError):
+ pa.Table.from_struct_array(struct_array)
+
+ # from_batches() test
+ new_table = pa.Table.from_batches([cuda_recordbatch, cuda_recordbatch],
schema)
+ verify_cuda_table(new_table, expected_schema=schema)
+
+ # nbytes test
+ with pytest.raises(NotImplementedError):
+ assert cuda_table.nbytes
+
+ # get_total_buffer_size() test
+ with pytest.raises(NotImplementedError):
+ assert cuda_table.get_total_buffer_size()
+
+ # to_pydict() test
+ with pytest.raises(NotImplementedError):
+ cuda_table.to_pydict()
+
+ # to_pylist() test
+ with pytest.raises(NotImplementedError):
+ cuda_table.to_pylist()
+
+ # to_pandas() test
+ with pytest.raises(NotImplementedError):
+ cuda_table.to_pandas()
+
+ # to_struct_array() test
+ with pytest.raises(NotImplementedError):
+ cuda_table.to_struct_array()
+
+ # to_batches() test
+ with pytest.raises(NotImplementedError):
+ cuda_table.to_batches()
Review Comment:
-> https://github.com/apache/arrow/issues/44049
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