Roninkoi

#!/bin/env python3
# Convert vtkUnstructuredGrid VTK file to Wavefront OBJ file or STL file

import sys
import os
import vtk

if len(sys.argv) != 3:
  print('Usage: ', sys.argv[0], 'in.vtk out.obj')
  sys.exit()

Roninkoi

#!/bin/sh
# clone and build gcc for linux, link bin
gccpath="/home/ronialek/gcc-test"
mkdir $gccpath
cd $gccpath
git clone git://gcc.gnu.org/git/gcc.git .
git checkout releases/gcc-13
./contrib/download_prerequisites
mkdir build
cd build

Roninkoi

#!/bin/env python3
# Extract last frame from LAMMPS xyz dump file
# inpath and write it to outpath

inpath = "AgNWSiO2.xyz"
outpath = "data.AgNWSiO2"
df = open(inpath, "r")
buf = []
i = 0
for l in df:

Roninkoi

#!/bin/sh
##xargs -a files.txt -n2 sh -c '(echo "16i $(echo $1 | tr '[:lower:]' '[:upper:]') P" | dc) > $0'
xargs -a files.txt -n2 sh -c 'echo $1 | xxd -r -p - $0'

Roninkoi

# Roni Koitermaa 2022
# Plotting code using Matplotlib
# Line/scatter plots, subplots, histogram plot, bar plot

import numpy as np
from matplotlib import rc
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick

# line + scatter plot of multiple data sets a

Roninkoi

#!/bin/sh
# set audio and subtitle track 2 as default in mkv files (typically japanese with english subtitles)

for file in *.mkv ; do
    mkvpropedit "$file" --edit track:a1 --set flag-default=0 --set flag-forced=0 \
		    --edit track:a2 --set flag-default=1 --set flag-forced=0 \
		    --edit track:s1 --set flag-default=0 --set flag-forced=0 \
		    --edit track:s2 --set flag-default=1 --set flag-forced=0
done

Roninkoi

#!/bin/sh
# Download series .ts files and concatenate into mp4 using ffmpeg
# Usage: tsdl <url> <file prefix i.e. prefix_0.ts>

if [ $# != 2 ]; then
    echo "Usage: tsdl <url> <file prefix i.e. prefix_0.ts>"
    exit
fi

echo "ffconcat version 1.0" > tsdl_list.txt

Roninkoi

# Fourier analysis of piano hammer shapes on string.
# Hammers of different shapes hit piano string at different points,
# what is the frequency spectrum?

import numpy as np
import matplotlib.pyplot as plt

# line + scatter plot of multiple data sets a
def linescatter(a, titles=["", "", ""], labels=[], styles=[], fpath="", cm=plt.cm.rainbow):
    f = plt.figure(figsize=(10, 10))

Roninkoi

import numpy as np
import matplotlib.pyplot as plt

# line + scatter plot of multiple data sets a
def linescatter(a, titles=["", "", ""], labels=[], styles=[], fpath=""):
    f = plt.figure(figsize=(10, 10))
    plt.rcParams.update({'font.size': 22})
    colors = plt.cm.plasma(np.linspace(0, 1, len(a)))
    plt.rcParams['axes.prop_cycle'] = plt.cycler(color=colors)

Roninkoi

import numpy as np
 
class Passenger:
    walkspd = 0.5 # walking speed
    storespd = 30 # luggage storing speed
    swapspd = 15 # seat swapping speed
 
    def __init__(self, aislerow, seatrow, seatcol):
        self.x = 0 # at gate
        self.aislerow = int(aislerow)