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```import numpy as np

class Infix(np.ndarray):
"""
Creates a new infix operator that correcly acts on numpy arrays and scalars, used as X *op* Y.
The main motivation is to use np.dot as an infix operator for matrix multiplication.

example:
>>> x = np.array([1, 1, 1])
>>> x *dot* x
3
>>> 1 + x *dot* x   # Multiplication has higher precedence than addition
4
"""
def __new__(cls, function):
obj = np.ndarray.__new__(cls, 0)
obj.function = function
return obj
def __array_finalize__(self, obj):
if obj is None: return
self.function = getattr(obj, 'function', None)
def __rmul__(self, other):
return Infix(lambda x, self=self, other=other: self.function(other, x))
def __mul__(self, other):
return self.function(other)
def __call__(self, value1, value2):
return self.function(value1, value2)

dot = Infix(np.dot)
outer = Infix(np.outer)
```

#### Diff to Previous Revision

```--- revision 2 2010-04-19 05:23:25
+++ revision 3 2010-06-07 05:57:07
@@ -2,7 +2,7 @@

class Infix(np.ndarray):
"""
-    Creates a new infix operator that correcly acts on numpy arrays and scalars. Two different precedence levels are available: (1) addition/subtraction, (2) multiplication
+    Creates a new infix operator that correcly acts on numpy arrays and scalars, used as X *op* Y.
The main motivation is to use np.dot as an infix operator for matrix multiplication.

example:
```