Repair accidentally broken support for comparing non-trivial objects (e.g....

Repair accidentally broken support for comparing non-trivial objects (e.g. NumPy arrays) to integer constants.
Closes #2444.

Cython/Compiler/Optimize.py

@@ -3260,10 +3260,7 @@ class OptimizeBuiltinCalls(Visitor.NodeRefCleanupMixin,
             return node
 
         if node.type.is_pyobject:
-            if operator in ('Eq', 'Ne'):
-                ret_type = PyrexTypes.c_bint_type
-            else:
-                ret_type = PyrexTypes.py_object_type
+            ret_type = PyrexTypes.py_object_type
         elif node.type is PyrexTypes.c_bint_type and operator in ('Eq', 'Ne'):
             ret_type = PyrexTypes.c_bint_type
         else:

Cython/Utility/Optimize.c

@@ -713,7 +713,7 @@ static CYTHON_INLINE {{c_ret_type}} __Pyx_PyInt_{{'' if ret_type.is_pyobject els
 {{py: c_op = {'Eq': '==', 'Ne': '!='}[op] }}
 {{py:
 return_compare = (
-    (lambda a,b,c_op: "if ({a} {c_op} {b}) {return_true}; else {return_false};".format(
+    (lambda a,b,c_op, return_true=return_true, return_false=return_false: "if ({a} {c_op} {b}) {return_true}; else {return_false};".format(
         a=a, b=b, c_op=c_op, return_true=return_true, return_false=return_false))
     if ret_type.is_pyobject else
     (lambda a,b,c_op: "return ({a} {c_op} {b});".format(a=a, b=b, c_op=c_op))

tests/run/numpy_test.pyx

@@ -898,4 +898,33 @@ def test_copy_buffer(np.ndarray[double, ndim=1] a):
     return a
 
 
+@testcase
+def test_broadcast_comparison(np.ndarray[double, ndim=1] a):
+    """
+    >>> a = np.ones(10, dtype=np.double)
+    >>> a0, obj0, a1, obj1 = test_broadcast_comparison(a)
+    >>> np.all(a0 == (a == 0)) or a0
+    True
+    >>> np.all(a1 == (a == 1)) or a1
+    True
+    >>> np.all(obj0 == (a == 0)) or obj0
+    True
+    >>> np.all(obj1 == (a == 1)) or obj1
+    True
+
+    >>> a = np.zeros(10, dtype=np.double)
+    >>> a0, obj0, a1, obj1 = test_broadcast_comparison(a)
+    >>> np.all(a0 == (a == 0)) or a0
+    True
+    >>> np.all(a1 == (a == 1)) or a1
+    True
+    >>> np.all(obj0 == (a == 0)) or obj0
+    True
+    >>> np.all(obj1 == (a == 1)) or obj1
+    True
+    """
+    cdef object obj = a
+    return a == 0, obj == 0, a == 1, obj == 1
+
+
 include "numpy_common.pxi"