Basj - 1 year ago 127

Python Question

As mentioned here and here, this doesn't work anymore in numpy 1.7+ :

`import numpy`

A = numpy.array([1, 2, 3, 4], dtype=numpy.int16)

B = numpy.array([0.5, 2.1, 3, 4], dtype=numpy.float64)

A *= B

A workaround is to do:

`def mult(a,b):`

numpy.multiply(a, b, out=a, casting="unsafe")

def add(a,b):

numpy.add(a, b, out=a, casting="unsafe")

mult(A,B)

but that's way too long to write for each matrix operation!

`*=`

Should I subclass something?

Answer Source

You can use `np.set_numeric_ops`

to override array arithmetic methods:

```
import numpy as np
def unsafe_multiply(a, b, out=None):
return np.multiply(a, b, out=out, casting="unsafe")
np.set_numeric_ops(multiply=unsafe_multiply)
A = np.array([1, 2, 3, 4], dtype=np.int16)
B = np.array([0.5, 2.1, 3, 4], dtype=np.float64)
A *= B
print(repr(A))
# array([ 0, 4, 9, 16], dtype=int16)
```