From 9d8e2024ff9014fa2fd9a29812cec615dff6feb9 Mon Sep 17 00:00:00 2001
From: Travis Oliphant <oliphant@enthought.com>
Date: Sat, 5 Aug 2006 01:20:56 +0000
Subject: More fixes to backward compatibility

---
 numpy/oldnumeric/functions.py | 62 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 62 insertions(+)
 create mode 100644 numpy/oldnumeric/functions.py

(limited to 'numpy/oldnumeric/functions.py')

diff --git a/numpy/oldnumeric/functions.py b/numpy/oldnumeric/functions.py
new file mode 100644
index 000000000..a905aa9a7
--- /dev/null
+++ b/numpy/oldnumeric/functions.py
@@ -0,0 +1,62 @@
+# Functions that should behave the same as Numeric
+
+import numpy as N
+import numpy.core.multiarray as mu
+import numpy.core.numeric as nn
+from typeconv import convtypecode
+
+__all__ = ['take', 'repeat', 'sum', 'product', 'sometrue', 'alltrue',
+           'cumsum', 'cumproduct']
+__all__ += ['ones', 'empty', 'identity', 'zeros']
+
+def take(a, indicies, axis=0):
+    return N.take(a, indicies, axis)
+
+def repeat(a, repeats, axis=0):
+    return N.repeats(a, repeats, axis)
+
+def sum(x, axis=0):
+    return N.sum(x, axis)
+
+def product(x, axis=0):
+    return N.product(x, axis)
+
+def sometrue(x, axis=0):
+    return N.sometrue(x, axis)
+
+def alltrue(x, axis=0):
+    return N.alltrue(x, axis)
+
+def cumsum(x, axis=0):
+    return N.cumsum(x, axis)
+
+def cumproduct(x, axis=0):
+    return N.cumproduct(x, axis)
+
+    
+def ones(shape, typecode='l', savespace=0, dtype=None):
+    """ones(shape, dtype=int) returns an array of the given
+    dimensions which is initialized to all ones.
+    """
+    dtype = convtypecode(typecode,dtype)
+    a = mu.empty(shape, dtype)
+    a.fill(1)
+    return a
+
+def zeros(shape, typecode='l', savespace=0, dtype=None):
+    """zeros(shape, dtype=int) returns an array of the given
+    dimensions which is initialized to all zeros
+    """
+    dtype = convtypecode(typecode,dtype)            
+    return mu.zeros(shape, dtype)
+
+def identity(n,typecode='l', dtype=None):
+    """identity(n) returns the identity 2-d array of shape n x n.
+    """
+    dtype = convtypecode(typecode, dtype)
+    return nn.identity(n, dtype)
+
+def empty(shape, typecode='l', dtype=None):
+    dtype = convtypecode(typecode, dtype)    
+    return mu.empty(shape, dtype, order)
+
-- 
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