[Numpy-svn] r5418 - in branches/1.1.x/numpy/core: . tests

numpy-svn@scip... numpy-svn@scip...
Tue Jul 15 03:11:45 CDT 2008


Author: rkern
Date: 2008-07-15 03:11:43 -0500 (Tue, 15 Jul 2008)
New Revision: 5418

Modified:
   branches/1.1.x/numpy/core/numeric.py
   branches/1.1.x/numpy/core/tests/test_numeric.py
Log:
Backport r5357.

Modified: branches/1.1.x/numpy/core/numeric.py
===================================================================
--- branches/1.1.x/numpy/core/numeric.py	2008-07-15 08:07:53 UTC (rev 5417)
+++ branches/1.1.x/numpy/core/numeric.py	2008-07-15 08:11:43 UTC (rev 5418)
@@ -137,7 +137,7 @@
 def asanyarray(a, dtype=None, order=None):
     """Returns a as an array, but will pass subclasses through.
     """
-    return array(a, dtype, copy=False, order=order, subok=1)
+    return array(a, dtype, copy=False, order=order, subok=True)
 
 def ascontiguousarray(a, dtype=None):
     """Return 'a' as an array contiguous in memory (C order).
@@ -182,9 +182,9 @@
         return asanyarray(a, dtype=dtype)
 
     if 'ENSUREARRAY' in requirements or 'E' in requirements:
-        subok = 0
+        subok = False
     else:
-        subok = 1
+        subok = True
 
     arr = array(a, dtype=dtype, copy=False, subok=subok)
 
@@ -344,12 +344,12 @@
     nda = len(a.shape)
     bs = b.shape
     ndb = len(b.shape)
-    equal = 1
-    if (na != nb): equal = 0
+    equal = True
+    if (na != nb): equal = False
     else:
         for k in xrange(na):
             if as_[axes_a[k]] != bs[axes_b[k]]:
-                equal = 0
+                equal = False
                 break
             if axes_a[k] < 0:
                 axes_a[k] += nda
@@ -394,10 +394,10 @@
     a = asanyarray(a)
     if axis is None:
         n = a.size
-        reshape=1
+        reshape = True
     else:
         n = a.shape[axis]
-        reshape=0
+        reshape = False
     shift %= n
     indexes = concatenate((arange(n-shift,n),arange(n-shift)))
     res = a.take(indexes, axis)
@@ -732,10 +732,10 @@
     try:
         a1, a2 = asarray(a1), asarray(a2)
     except:
-        return 0
+        return False
     if a1.shape != a2.shape:
-        return 0
-    return logical_and.reduce(equal(a1,a2).ravel())
+        return False
+    return bool(logical_and.reduce(equal(a1,a2).ravel()))
 
 def array_equiv(a1, a2):
     """Returns True if a1 and a2 are shape consistent
@@ -745,11 +745,11 @@
     try:
         a1, a2 = asarray(a1), asarray(a2)
     except:
-        return 0
+        return False
     try:
-        return logical_and.reduce(equal(a1,a2).ravel())
+        return bool(logical_and.reduce(equal(a1,a2).ravel()))
     except ValueError:
-        return 0
+        return False
 
 
 _errdict = {"ignore":ERR_IGNORE,

Modified: branches/1.1.x/numpy/core/tests/test_numeric.py
===================================================================
--- branches/1.1.x/numpy/core/tests/test_numeric.py	2008-07-15 08:07:53 UTC (rev 5417)
+++ branches/1.1.x/numpy/core/tests/test_numeric.py	2008-07-15 08:11:43 UTC (rev 5418)
@@ -252,6 +252,52 @@
         assert_equal(binary_repr(-1), '-1')
         assert_equal(binary_repr(-1, width=8), '11111111')
 
+class TestArrayComparisons(NumpyTestCase):
+    def test_array_equal(self):
+        res = array_equal(array([1,2]), array([1,2]))
+        assert res
+        assert type(res) is bool
+        res = array_equal(array([1,2]), array([1,2,3]))
+        assert not res
+        assert type(res) is bool
+        res = array_equal(array([1,2]), array([3,4]))
+        assert not res
+        assert type(res) is bool
+        res = array_equal(array([1,2]), array([1,3]))
+        assert not res
+        assert type(res) is bool
+
+    def test_array_equiv(self):
+        res = array_equiv(array([1,2]), array([1,2]))
+        assert res
+        assert type(res) is bool
+        res = array_equiv(array([1,2]), array([1,2,3]))
+        assert not res
+        assert type(res) is bool
+        res = array_equiv(array([1,2]), array([3,4]))
+        assert not res
+        assert type(res) is bool
+        res = array_equiv(array([1,2]), array([1,3]))
+        assert not res
+        assert type(res) is bool
+
+        res = array_equiv(array([1,1]), array([1]))
+        assert res
+        assert type(res) is bool
+        res = array_equiv(array([1,1]), array([[1],[1]]))
+        assert res
+        assert type(res) is bool
+        res = array_equiv(array([1,2]), array([2]))
+        assert not res
+        assert type(res) is bool
+        res = array_equiv(array([1,2]), array([[1],[2]]))
+        assert not res
+        assert type(res) is bool
+        res = array_equiv(array([1,2]), array([[1,2,3],[4,5,6],[7,8,9]]))
+        assert not res
+        assert type(res) is bool
+
+
 def assert_array_strict_equal(x, y):
     assert_array_equal(x, y)
     # Check flags



More information about the Numpy-svn mailing list