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Posted to commits@arrow.apache.org by we...@apache.org on 2019/07/13 17:02:23 UTC
[arrow] 28/43: ARROW-5790: [Python] Raise error when trying to
convert 0-dim array in pa.array
This is an automated email from the ASF dual-hosted git repository.
wesm pushed a commit to branch maint-0.14.x
in repository https://gitbox.apache.org/repos/asf/arrow.git
commit e4bdb6e968c51579d870174a4084885a5b0d2171
Author: Joris Van den Bossche <jo...@gmail.com>
AuthorDate: Wed Jul 10 13:38:06 2019 +0200
ARROW-5790: [Python] Raise error when trying to convert 0-dim array in pa.array
https://issues.apache.org/jira/browse/ARROW-5790
In the `NumPyConverter` constructor, we access the strides of the array with `PyArray_STRIDES(arr_)[0]`, so need to ensure that the array is 1D before passing it there.
Author: Joris Van den Bossche <jo...@gmail.com>
Closes #4837 from jorisvandenbossche/ARROW-5790 and squashes the following commits:
cc66365af <Joris Van den Bossche> ARROW-5790: raise error when trying to convert 0-dim array in pa.array
---
cpp/src/arrow/python/numpy_to_arrow.cc | 3 +++
python/pyarrow/tests/test_array.py | 11 +++++++++++
2 files changed, 14 insertions(+)
diff --git a/cpp/src/arrow/python/numpy_to_arrow.cc b/cpp/src/arrow/python/numpy_to_arrow.cc
index b353a1e..811a31f 100644
--- a/cpp/src/arrow/python/numpy_to_arrow.cc
+++ b/cpp/src/arrow/python/numpy_to_arrow.cc
@@ -800,6 +800,9 @@ Status NdarrayToArrow(MemoryPool* pool, PyObject* ao, PyObject* mo, bool from_pa
if (!PyArray_Check(ao)) {
return Status::Invalid("Input object was not a NumPy array");
}
+ if (PyArray_NDIM(reinterpret_cast<PyArrayObject*>(ao)) != 1) {
+ return Status::Invalid("only handle 1-dimensional arrays");
+ }
NumPyConverter converter(pool, ao, mo, type, from_pandas, cast_options);
RETURN_NOT_OK(converter.Convert());
diff --git a/python/pyarrow/tests/test_array.py b/python/pyarrow/tests/test_array.py
index 9d66d96..34cfd29 100644
--- a/python/pyarrow/tests/test_array.py
+++ b/python/pyarrow/tests/test_array.py
@@ -1147,6 +1147,17 @@ def test_array_from_masked():
pa.array(ma, mask=np.array([True, False, False, False]))
+def test_array_from_invalid_dim_raises():
+ msg = "only handle 1-dimensional arrays"
+ arr2d = np.array([[1, 2, 3], [4, 5, 6]])
+ with pytest.raises(ValueError, match=msg):
+ pa.array(arr2d)
+
+ arr0d = np.array(0)
+ with pytest.raises(ValueError, match=msg):
+ pa.array(arr0d)
+
+
def test_buffers_primitive():
a = pa.array([1, 2, None, 4], type=pa.int16())
buffers = a.buffers()