28 April 2022
A&A article accepted.
Download pywpf-main.zip, unzip, and give it a try!
Main README.md says "get data from link". Say that the link is given in scripts/README.md
Warns that the file is >1 Gb and that it takes an hour on a laptop.
So instead, I took Vela,
20091218-042650UTC_vela-NTT.baricentrizzato.tempo2.txt
which is only 345 Mb.
README.md says to execute
python3 data2npy.py -i pathto/20091215-031945UTC_crab-NTT.baricentrizzato.tempo2.txt
but I didn't find data2npy.py in the package or on google.
Why not just provide the
20091215-031945UTC_crab-NTT.baricentrizzato.tempo2.npy
file on your links? If not, then provide data2npy.py
Finally, I attempted this command line:
[local1@localhost scripts]$ python b0833-45_run.py -i 20091218-042650UTC_vela-NTT.baricentrizzato.tempo2.txt
Default plotting configuration could not be installed.
******* PyPCAF: finding pulsar period *******
... Total number of num_div loops: 1 ...
... Extracting period from 20091218-042650UTC_vela-NTT.baricentrizzato.tempo2.txt ...
Killed
Today's conclusions: it's great that you are providing example scripts.
But this (not very expert) user did not find everything he needs easily & quickly.
If you add what is missing ; or clarify in the README's what I did wrong ; then I will try again!
Oh -- "an hour on a laptop" -- isn't there some way you can have a fast job with sloppy results for a beginner's installation + learning to go faster?
28 April 2022
A&A article accepted.
Download pywpf-main.zip, unzip, and give it a try!
Main README.md says "get data from link". Say that the link is given in scripts/README.md
Warns that the file is >1 Gb and that it takes an hour on a laptop.
So instead, I took Vela,
20091218-042650UTC_vela-NTT.baricentrizzato.tempo2.txt
which is only 345 Mb.
README.md says to execute
python3 data2npy.py -i pathto/20091215-031945UTC_crab-NTT.baricentrizzato.tempo2.txt
but I didn't find data2npy.py in the package or on google.
Why not just provide the
20091215-031945UTC_crab-NTT.baricentrizzato.tempo2.npy
file on your links? If not, then provide data2npy.py
Finally, I attempted this command line:
[local1@localhost scripts]$ python b0833-45_run.py -i 20091218-042650UTC_vela-NTT.baricentrizzato.tempo2.txt
Default plotting configuration could not be installed.
******* PyPCAF: finding pulsar period *******
... Total number of num_div loops: 1 ...
... Extracting period from 20091218-042650UTC_vela-NTT.baricentrizzato.tempo2.txt ...
Killed
Today's conclusions: it's great that you are providing example scripts.
But this (not very expert) user did not find everything he needs easily & quickly.
If you add what is missing ; or clarify in the README's what I did wrong ; then I will try again!
Oh -- "an hour on a laptop" -- isn't there some way you can have a fast job with sloppy results for a beginner's installation + learning to go faster?