1 files changed, 87 insertions, 0 deletions
diff --git a/tests/run/numpy_attributes.pyx b/tests/run/numpy_attributes.pyx
new file mode 100644
index 000000000..c77346a49
--- /dev/null
+++ b/tests/run/numpy_attributes.pyx
@@ -0,0 +1,87 @@
+# mode: run
+# tag: numpy
+
+cimport cython
+
+import numpy as np
+cimport numpy as cnp
+
+cnp.import_array()
+
+
+@cython.test_assert_path_exists(
+    "//ReturnStatNode",
+    "//ReturnStatNode//IndexNode",
+    "//ReturnStatNode//IndexNode//SimpleCallNode",
+)
+@cython.test_fail_if_path_exists(
+    "//ReturnStatNode//AttributeNode",
+)
+def access_shape():
+    """
+    >>> print(access_shape())
+    10
+    """
+    cdef cnp.ndarray[double, ndim=2, mode='c'] array_in = \
+        1e10 * np.ones((10, 10))
+
+    return array_in.shape[0]
+
+
+@cython.test_assert_path_exists(
+    "//ReturnStatNode",
+    "//ReturnStatNode//SimpleCallNode",
+)
+@cython.test_fail_if_path_exists(
+    "//ReturnStatNode//AttributeNode",
+)
+def access_size():
+    """
+    >>> print(access_size())
+    100
+    """
+    cdef cnp.ndarray[double, ndim=2, mode='c'] array_in = \
+        1e10 * np.ones((10, 10))
+
+    return array_in.size
+
+
+@cython.test_assert_path_exists(
+    "//ReturnStatNode",
+    "//ReturnStatNode//IndexNode",
+    "//ReturnStatNode//IndexNode//SimpleCallNode",
+)
+@cython.test_fail_if_path_exists(
+    "//ReturnStatNode//AttributeNode",
+)
+def access_strides():
+    """
+    >>> x, y = access_strides()
+    >>> print(x)
+    80
+    >>> print(y)
+    8
+    """
+    cdef cnp.ndarray[double, ndim=2, mode='c'] array_in = \
+        1e10 * np.ones((10, 10), dtype=np.float64)
+
+    return (array_in.strides[0], array_in.strides[1])
+
+
+@cython.test_assert_path_exists(
+    "//ReturnStatNode",
+    "//ReturnStatNode//PrimaryCmpNode",
+    "//ReturnStatNode//PrimaryCmpNode//SimpleCallNode",
+)
+@cython.test_fail_if_path_exists(
+    "//ReturnStatNode//AttributeNode",
+)
+def access_data():
+    """
+    >>> access_data()
+    True
+    """
+    cdef cnp.ndarray[double, ndim=2, mode='c'] array_in = \
+        1e10 * np.ones((10, 10), dtype=np.float64)
+
+    return array_in.data is not NULL