fixed bug in BaseTensor.filter

_test_base_tensor.py

@@ -99,6 +99,11 @@ class T_tensor(unittest.TestCase):
         except ValueError, e:
             self.failUnless(e[0] is BaseTensor.filter.E_shape)
 
+    def test_cast0(self):
+        t = BaseTensor('float32', [0])
+        t.data = numpy.random.rand(4) > 0.5
+        print t.data
+
 class T_stdlib(unittest.TestCase):
     def test0(self):
         t = _tensor(1.0)

base_tensor.py

@@ -57,7 +57,8 @@ class BaseTensor(ResultBase):
     #
     def filter(self, arr):
         """cast to an ndarray and ensure arr has correct rank, shape"""
-        if not isinstance(arr, numpy.ndarray):
+        if not (isinstance(arr, numpy.ndarray) \
+                and arr.dtype==self.dtype):
             arr = numpy.asarray(arr, dtype = self.dtype)
         if len(self.broadcastable) != len(arr.shape):
             raise ValueError(BaseTensor.filter.E_rank,