Comments (27)
blink1073
commented on July 19, 2024
Nargout is inferred by oct2py, so you need to put all of the variables on the lhs.
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cancan101
commented on July 19, 2024
This does not seem to work either:
In [77]: f,h1f,h2f,A,theta,psi = %octave monofilt(b, 3, 4, 2, 0.65) -i b
ans =
{
[1,1] =
-0.41105 -0.13702
0.13702 0.41105
[1,2] =
1.0e-03 *
-8.45872 -2.81957
2.81957 8.45872
[1,3] =
1.0e-05 *
-1.30714 -0.43571
0.43571 1.30714
}
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-77-2bec253f83ef> in <module>()
----> 1 f,h1f,h2f,A,theta,psi = get_ipython().magic(u'octave monofilt(b, 3, 4, 2, 0.65) -i b')
ValueError: need more than 3 values to unpack
from oct2py.
blink1073
commented on July 19, 2024
Whoops, I was thinking from a direct command perspective. You need to use the -o option for the magic. Try:
%octave monofilt(b, 3, 4, 2, 0.65) -i b -o f,h1f,h2f,A,theta,psi
print(f,h1f,h2f,A,theta,psi)from oct2py.
cancan101
commented on July 19, 2024
That worked.
So the first argument is automatically / implicitly copied from Octave to Python but the remaining but be specified?
from oct2py.
blink1073
commented on July 19, 2024
When you call a method of an Oct2Py object or eval, the number of items on the LHS is reflected in the call to Octave, but if there aren't any then ans is caputured. The magic works differently to be consistent with other magics.
from oct2py.
cancan101
commented on July 19, 2024
This might be related to that. I am getting different results for these two different calls:
In [101]:
octave.monofilt(b, 3, 4, 2, 0.65)
Out[101]:
[array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])]
vs this:
In [102]:
%octave monofilt(b, 3, 4, 2, 0.65) -i b -o f,h1f,h2f,A,theta,psi
ans =
{
[1,1] =
-0.41105 -0.13702
0.13702 0.41105
[1,2] =
1.0e-03 *
-8.45872 -2.81957
2.81957 8.45872
[1,3] =
1.0e-05 *
-1.30714 -0.43571
0.43571 1.30714
}
Out[102]:
[array([[-0.41104991, -0.13701664],
[ 0.13701664, 0.41104991]]), array([[-0.00845872, -0.00281957],
[ 0.00281957, 0.00845872]]), array([[ -1.30713648e-05, -4.35712159e-06],
[ 4.35712159e-06, 1.30713648e-05]])]
from oct2py.
blink1073
commented on July 19, 2024
So in the first case nargout is 1, is that the expect output? For the second, you need to put a semicolon after the function call to suppress the output since it is evaled. Otherwise, are those the expected outputs when nargout=6?
from oct2py.
cancan101
commented on July 19, 2024
Ok. Adding the semicolon to improve readability:
In [101]:
octave.monofilt(b, 3, 4, 2, 0.65)
Out[101]:
[array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])]
In [113]:
%octave monofilt(b, 3, 4, 2, 0.65); -i b -o f,h1f,h2f,A,theta,psi
Out[113]:
[array([[-0.41104991, -0.13701664],
[ 0.13701664, 0.41104991]]), array([[-0.00845872, -0.00281957],
[ 0.00281957, 0.00845872]]), array([[ -1.30713648e-05, -4.35712159e-06],
[ 4.35712159e-06, 1.30713648e-05]])]
All 0s is not the expected output.
The second case it my reference and I believe the values look good.
from oct2py.
cancan101
commented on July 19, 2024
Actually on closer inspection, I do not think this is working right:
In [28]:
b = np.array([[1, 2], [3, 4]])
%octave monofilt(b, 3, 4, 2, 0.65); -i b -o f,h1f,h2f,A,theta,psi
print(f,h1f,h2f,A,theta,psi)
(None, None, None, None, None, None)
from oct2py.
blink1073
commented on July 19, 2024
I don't think you can define an input and use it in the same block. Same for output.
from oct2py.
cancan101
commented on July 19, 2024
Still does not look to work:
In [30]:
b = np.array([[1, 2], [3, 4]])
In [31]:
%octave monofilt(b, 3, 4, 2, 0.65); -i b -o f,h1f,h2f,A,theta,psi
Out[31]:
[array([[-0.41104991, -0.13701664],
[ 0.13701664, 0.41104991]]), array([[-0.00845872, -0.00281957],
[ 0.00281957, 0.00845872]]), array([[ -1.30713648e-05, -4.35712159e-06],
[ 4.35712159e-06, 1.30713648e-05]])]
In [32]:
print(f,h1f,h2f,A,theta,psi)
(None, None, None, None, None, None)
from oct2py.
blink1073
commented on July 19, 2024
Hmm, try with no space after -o
from oct2py.
cancan101
commented on July 19, 2024
Nope. Using the roundtrip from the docs (with semicolons added to assignments):
In [44]:
%octave roundtrip(b); -i b -o q,g
Out[44]:
array([[1, 2],
[3, 4]])
In [45]:
print(q,g)
(None, None)
In [46]:
%octave roundtrip(b); -i b -oq,g
Out[46]:
array([[1, 2],
[3, 4]])
In [47]:
print(q,g)
(None, None)
from oct2py.
blink1073
commented on July 19, 2024
Ah, I finally see the problem with the magic:
%octave f,h1f,h2f,A,theta,psi = octave.monofilt(b, 3, 4, 2, 0.65); -i b -o f,h1f,h2f,A,theta,psi or without using magic:
f,h1f,h2f,A,theta,psi = octave.monofilt(b, 3, 4, 2, 0.65)
print(f,h1f,h2f,A,theta,psi)from oct2py.
blink1073
commented on July 19, 2024
Whoops, you'll need brackets:
%octave [f,h1f,h2f,A,theta,psi] = octave.monofilt(b, 3, 4, 2, 0.65); -i b -o f,h1f,h2f,A,theta,psi from oct2py.
blink1073
commented on July 19, 2024
Time to add a few more examples to the notebook methinks...
from oct2py.
cancan101
commented on July 19, 2024
Should be:
%octave [f,h1f,h2f,A,theta,psi] = monofilt(b, 3, 4, 2, 0.65); -i b -o f,h1f,h2f,A,theta,psi
from oct2py.
cancan101
commented on July 19, 2024
The example without the magic does not work:
In [79]:
f,h1f,h2f,A,theta,psi = octave.monofilt(b, 3, 4, 2, 0.65)
print(f,h1f,h2f,A,theta,psi)
([array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])], [array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])], [array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])], [array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])], [array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])], [array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])])
whereas this works:
In [81]:
%octave [f,h1f,h2f,A,theta,psi] = monofilt(b, 3, 4, 2, 0.65); -i b -o f,h1f,h2f,A,theta,psi
print(f,h1f,h2f,A,theta,psi)
([array([[-0.41104991, -0.13701664],
[ 0.13701664, 0.41104991]]), array([[-0.00845872, -0.00281957],
[ 0.00281957, 0.00845872]]), array([[ -1.30713648e-05, -4.35712159e-06],
[ 4.35712159e-06, 1.30713648e-05]])], [array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])], [array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])], [array([[ 0.41104991, 0.13701664],
[ 0.13701664, 0.41104991]]), array([[ 0.00845872, 0.00281957],
[ 0.00281957, 0.00845872]]), array([[ 1.30713648e-05, 4.35712159e-06],
[ 4.35712159e-06, 1.30713648e-05]])], [array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]]), array([[ 0., 0.],
[ 0., 0.]])], [array([[-1.57079633, -1.57079633],
[ 1.57079633, 1.57079633]]), array([[-1.57079633, -1.57079633],
[ 1.57079633, 1.57079633]]), array([[-1.57079633, -1.57079633],
[ 1.57079633, 1.57079633]])])
from oct2py.
blink1073
commented on July 19, 2024
I'm not sure what to say about the non-magic version not working. It is getting the right number of nargout... Can you share the monofilt function?
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cancan101
commented on July 19, 2024
http://www.csse.uwa.edu.au/~pk/research/matlabfns/PhaseCongruency/monofilt.m
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blink1073
commented on July 19, 2024
We've exposed a source of friction. Oct2Py sends integers to Octave as integer type, since they are interpreted as such by numpy. The following works:
f,h1f,h2f,A,theta,psi = octave.monofilt(b,3.,4.,2.,0.65)from oct2py.
cancan101
commented on July 19, 2024
Why does the magic version perform differently?
On Fri, Jan 2, 2015, 21:53 Steven Silvester [email protected]
wrote:
We've exposed a source of friction. Oct2Py sends integers to Octave as
integer type, since they are interpreted as such by numpy. The following
works:f,h1f,h2f,A,theta,psi = octave.monofilt(b,3.,4.,2.,0.65)
—
Reply to this email directly or view it on GitHub
#66 (comment).
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blink1073
commented on July 19, 2024
In the magic version, everything is wrapped in octave.eval, so the arguments are sent as plain text, instead of through a MAT file.
—
Sent from Mailbox
On Fri, Jan 2, 2015 at 10:08 PM, Alex Rothberg [email protected]
wrote:
Why does the magic version perform differently?
On Fri, Jan 2, 2015, 21:53 Steven Silvester [email protected]
wrote:We've exposed a source of friction. Oct2Py sends integers to Octave as
integer type, since they are interpreted as such by numpy. The following
works:f,h1f,h2f,A,theta,psi = octave.monofilt(b,3.,4.,2.,0.65)
—
Reply to this email directly or view it on GitHub
#66 (comment).
Reply to this email directly or view it on GitHub:
#66 (comment)
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cancan101
commented on July 19, 2024
Okay. If that fact isn't in the docs, it would be worth adding it. I
assumed the two worked using the same mechanism.
On Fri Jan 02 2015 at 11:15:49 PM Steven Silvester [email protected]
wrote:
In the magic version, everything is wrapped in octave.eval, so the
arguments are sent as plain text, instead of through a MAT file.—
Sent from MailboxOn Fri, Jan 2, 2015 at 10:08 PM, Alex Rothberg [email protected]
wrote:Why does the magic version perform differently?
On Fri, Jan 2, 2015, 21:53 Steven Silvester [email protected]
wrote:We've exposed a source of friction. Oct2Py sends integers to Octave as
integer type, since they are interpreted as such by numpy. The
following
works:f,h1f,h2f,A,theta,psi = octave.monofilt(b,3.,4.,2.,0.65)
—
Reply to this email directly or view it on GitHub
#66 (comment).
Reply to this email directly or view it on GitHub:
#66 (comment)—
Reply to this email directly or view it on GitHub
#66 (comment).
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cancan101
commented on July 19, 2024
Something else is still not right between these two.
I download this file: http://4.bp.blogspot.com/-ruV5mllFtxA/TjosZziIddI/AAAAAAAAAIw/o8aU8O1ZfqM/s1600/BlackWhite.gif
and then load it using:
import numpy as np
from PIL import Image
a = np.asarray(Image.open('BlackWhite.gif'))/255.This takes a few seconds:
%octave [f,h1f,h2f,A,theta,psi] = monofilt(a, 3, 4, 2, 0.65); -i a -o f,h1f,h2f,A,theta,psi
but this never returns / takes a VERY long time:
f,h1f,h2f,A,theta,psi = octave.monofilt(a, 3., 4., 2., 0.65)from oct2py.
blink1073
commented on July 19, 2024
Thanks for the feedback. The problem was that the output was not suppressed on the second version, causing it to print a lot to the console, (but not displayed on this end, since the logger is not set to DEBUG by default). I'm going to release version 3.0 that converts int -> float by default and suppresses that output (hopefully by this weekend).
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blink1073
commented on July 19, 2024
I just released 3.0, which fixes this issue.
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