Test that the mask dtype if MaskType before using np.zeros/ones

1 files changed, 2 insertions, 2 deletions

diff --git a/numpy/ma/core.py b/numpy/ma/core.py
index 75c7c001e..807b28c5b 100644
--- a/numpy/ma/core.py
+++ b/numpy/ma/core.py
@@ -2757,9 +2757,9 @@ class MaskedArray(ndarray):
         else:
             # Case 2. : With a mask in input.
             # If mask is boolean, create an array of True or False
-            if mask is True:
+            if mask is True and mdtype == MaskType:
                 mask = np.ones(_data.shape, dtype=mdtype)
-            elif mask is False:
+            elif mask is False and mdtype == MaskType:
                 mask = np.zeros(_data.shape, dtype=mdtype)
             else:
                 # Read the mask with the current mdtype