AlenkaF commented on code in PR #34883:
URL: https://github.com/apache/arrow/pull/34883#discussion_r1158556462
##########
python/pyarrow/tests/test_extension_type.py:
##########
@@ -1127,3 +1127,89 @@ def test_cpp_extension_in_python(tmpdir):
reconstructed_array = batch.column(0)
assert reconstructed_array.type == uuid_type
assert reconstructed_array == array
+
+
+def test_tensor_type():
+ tensor_type = pa.fixed_shape_tensor(pa.int8(), [2, 3])
+ assert tensor_type.extension_name == "arrow.fixed_shape_tensor"
+ assert tensor_type.storage_type == pa.list_(pa.int8(), 6)
+ assert tensor_type.shape == [2, 3]
+ assert tensor_type.dim_names is None
+ assert tensor_type.permutation is None
+
+ tensor_type = pa.fixed_shape_tensor(pa.float64(), [2, 2, 3],
+ permutation=[0, 2, 1])
+ assert tensor_type.extension_name == "arrow.fixed_shape_tensor"
+ assert tensor_type.storage_type == pa.list_(pa.float64(), 12)
+ assert tensor_type.shape == [2, 2, 3]
+ assert tensor_type.dim_names is None
+ assert tensor_type.permutation == [0, 2, 1]
+
+ tensor_type = pa.fixed_shape_tensor(pa.bool_(), [2, 2, 3],
+ dim_names=['C', 'H', 'W'])
+ assert tensor_type.extension_name == "arrow.fixed_shape_tensor"
+ assert tensor_type.storage_type == pa.list_(pa.bool_(), 12)
+ assert tensor_type.shape == [2, 2, 3]
+ assert tensor_type.dim_names == ['C', 'H', 'W']
+ assert tensor_type.permutation is None
+
+
[email protected]("numpy_order", ('C', 'F'))
+def test_tensor_class_methods(numpy_order):
+ tensor_type = pa.fixed_shape_tensor(pa.float32(), [2, 3])
+ storage = pa.array([[1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 5, 6]],
+ pa.list_(pa.float32(), 6))
+ arr = pa.ExtensionArray.from_storage(tensor_type, storage)
+ expected = np.array(
+ [[[1, 2, 3], [4, 5, 6]], [[1, 2, 3], [4, 5, 6]]], dtype=np.float32)
+
+ result = arr.to_numpy_ndarray()
+ np.testing.assert_array_equal(result, expected)
+
+ arr = np.array(
+ [[[1, 2, 3], [4, 5, 6]], [[1, 2, 3], [4, 5, 6]]],
+ dtype=np.float32, order=numpy_order)
+ tensor_array_from_numpy = pa.FixedShapeTensorArray.from_numpy_ndarray(arr)
+ assert isinstance(tensor_array_from_numpy.type, pa.FixedShapeTensorType)
+ assert tensor_array_from_numpy.type.value_type == pa.float32()
+ assert tensor_array_from_numpy.type.shape == [2, 3]
Review Comment:
Great, thank you for investigating! Will use `ravel("C")` and raise an error
if data wasn't C-contiguous in memory.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
