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# 
# filename:  varcovid.py 
# author: josh stults
# date:  30 Nov 2020
# 
# fit some vector auto regression models to deaths and cases
# 
# data from:  
# https://covid.ourworldindata.org/data/owid-covid-data.csv 
#

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# 
# filename:  varcovid.py 
# author: josh stults
# date:  20 Nov 2020
# 
# fit some autoregressive models to deaths and cases
# 
# data from:  
# https://covid.ourworldindata.org/data/owid-covid-data.csv 
#

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//CUSTOMIZER VARIABLES

// Overall radius of the sphere
sphereRadius = 30;

// Radius of each hole at the surface of the sphere
holeTopRadius = 5.5;

// Radius of each hole at the bottom of the hole
holeBottomRadius = 5;

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import os
import sys

# Usage: python3 topopt2CSG.py <build_dir> <test_name>
# Example:
# python3 topopt2CSG.py ../build openlsto 
#

if len(sys.argv) < 3:
  print('Error: please specify the test case name.')

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target_sample_num: 50000
cluster_epsilon: 0.1
epsilon: 0.1
min_points: 500
normal_threshold: 0.8
probability: 0.5
max_iter: 100
max_diam: 0.1
gc_max_iter: 10
base: 5.0

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[ToPy Problem Definition File v2007]

# Author: Josh Stults 
# pure bending topology optimization on a 640x720 domain   

PROB_TYPE  : comp
PROB_NAME  : pure-bend 
ETA        : exp   
DOF_PN     : 2
VOL_FRAC   : 0.3

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  0
SECTION
  2
HEADER
  9
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  1
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  9
$HANDSEED

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# read in black & white pngs and create PASV_ELEM and ACTV_ELEM lists
# for topy input decks
#
#  void.png: black pixels indicate regions that should be void
#  solid.png: black pixels indicate regions that should be solid 
#
from PIL import Image 

solidim = Image.open("solid.png")
voidim = Image.open("void.png")