[x] This issue is present in the most recent code (i.e. after running git pull this is still a problem).
Step 2: Describe your environment
irfu-matlab branch (e.g. master, devel): master
Matlab version used (e.g. Matlab R2020b): R2020a
Operating system (e.g. Windows 10, Mac OS X 10.15.6, Linux Ubuntu 20.04): Windows 10
[x] A 64-bit installation of Matlab was used.
Step 3: Describe the problem
For the example run (as in the whamp documentation): Solutions were found for certain arrays of wavevectors e.g.kperp=0, kpar = [0.0008 0.0002 0.0025]. But, if kperp=0, kpar = [0.0006 0.0002 0.0025], then no solutions were found, even though this set of wavevectors include the kperp and kpar points which did have solution before.
N.B. the numbers in the square bracket mean [k_start k_step k_end].
Expected behavior
For example run with kpar and kperp modified to: kperp=0, kpar = [0.0006 0.0002 0.0025]Output.flagSolutionFound = [0,1,1,1,1,1,1,1,1,1]
Actual behavior
For example run with k modified to: kperp=0, kpar = [0.0006 0.0002 0.0025]Output.flagSolutionFound = [0,0,0,0,0,0,0,0,0,0]
Step 1: Latest code?
git pull
this is still a problem).Step 2: Describe your environment
master
,devel
): masterMatlab R2020b
): R2020aWindows 10
,Mac OS X 10.15.6
,Linux Ubuntu 20.04
): Windows 10Step 3: Describe the problem
For the example run (as in the whamp documentation): Solutions were found for certain arrays of wavevectors e.g.
kperp=0
,kpar = [0.0008 0.0002 0.0025]
. But, ifkperp=0
,kpar = [0.0006 0.0002 0.0025]
, then no solutions were found, even though this set of wavevectors include thekperp
andkpar
points which did have solution before.N.B. the numbers in the square bracket mean [k_start k_step k_end].
Expected behavior
For example run with kpar and kperp modified to:
kperp=0
,kpar = [0.0006 0.0002 0.0025]
Output.flagSolutionFound = [0,1,1,1,1,1,1,1,1,1]
Actual behavior
For example run with k modified to:
kperp=0
,kpar = [0.0006 0.0002 0.0025]
Output.flagSolutionFound = [0,0,0,0,0,0,0,0,0,0]
Steps to reproduce:
See "Relevant code" section below.
Relevant code:
To reproduce unexpected behaviour: