In looking to solve issue #9028 "no way to override matmul/@ if
__array_ufunc__ is set", it seems there is consensus around the idea of
making matmul a true gufunc, but matmul can behave differently for
different combinations of array and vector:
(n,k),(k,m)->(n,m)
(n,k),(k) -> (n)
(k),(k,m)->
Hi Matti,
This sounds great. For completeness, you omitted the vector-vector
case for matmul '(k),(k)->()' - but the suggested new signature for
`matmul` would cover that case as well, so not a problem.
All the best,
Marten
___
NumPy-Discussion mailing
Here is a python code snippet:
# python vers. 3.6.5 (v3.6.5:f59c0932b4, Mar 28 2018, 17:00:18) [MSC
v.1900 64 bit (AMD64)]
import numpy as np # numpy vers. 1.14.3
#import matplotlib.pyplot as plt
N = 21
amp = 10
t = np.linspace(0.0,N-1,N)
arg = 2.0*np.pi/(N-1)
y
> mean(y): -1.3778013372117948e-16
> ypad:
> [-1.37780134e-16 -1.37780134e-16 -1.37780134e-16 0.e+00
> 3.09016994e+00 5.87785252e+00 8.09016994e+00 9.51056516e+00
> 1.e+01 9.51056516e+00 8.09016994e+00 5.87785252e+00
> 3.09016994e+00 1.22464680e-15 -3.09016994e+00 -5
PS. my exact numbers are different from yours (probably a
multithreaded thing?), but `ypad[:-2].mean()` agrees with the last 3
elements in `ypad` in my case and I'm sure this is true for yours too.
On Sun, Apr 29, 2018 at 11:36 PM, Andras Deak wrote:
>> mean(y): -1.3778013372117948e-16
>> ypad:
I would consider this a bug, and think we should fix this.
On Sun, 29 Apr 2018 at 13:48 Virgil Stokes wrote:
> Here is a python code snippet:
>
> # python vers. 3.6.5 (v3.6.5:f59c0932b4, Mar 28 2018, 17:00:18) [MSC
> v.1900 64 bit (AMD64)]
> import numpy as np # numpy vers. 1.14.3
> #import mat
On Sun, Apr 29, 2018 at 11:39 PM, Eric Wieser
wrote:
> I would consider this a bug, and think we should fix this.
In that case `mode='median'` should probably fixed as well.
___
NumPy-Discussion mailing list
NumPy-Discussion@python.org
https://mail.pyth
