forked from protonphoton/LJ
		
	the feature implement a paper: https://art-science.org/journal/v7n4/v7n4pp155/artsci-v7n4pp155.pdf there is some generator to test the optimisation in: ./clitools/generators/drawingTests/ Now, all the optimisation will be in ./libs3/plotOptimizer.py in ./libs3/tracer3.py the adding of point is avoid an will be replace by the optimisation from the paper
		
			
				
	
	
		
			85 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			85 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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# -*- mode: Python -*-
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'''
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This generator print a shape with best angle representation when the path is redraw
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v0.1.0
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LICENCE : CC
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by lapin (aka nipal)
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'''
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from __future__ import print_function
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import time
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import argparse
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import sys
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import math
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name="generator::endingPoint"
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def debug(*args, **kwargs):
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    if( verbose == False ):
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        return
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    print(*args, file=sys.stderr, **kwargs)
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def debug2(*args, **kwargs):
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    print(*args, file=sys.stderr, **kwargs)
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argsparser = argparse.ArgumentParser(description="dummy generator")
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argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
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argsparser.add_argument("-s","--speed",help="point per frame progress",default=3,type=int)
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argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose output")
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args        = argsparser.parse_args()
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fps=args.fps
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verbose=args.verbose
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optimal_looptime = 1 / fps
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debug(name+" optimal looptime "+str(optimal_looptime))
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width = 800
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height = 800
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white = 0xFFFFFF
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blank = 0
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point_offset = 250
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point_width  = 4
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point_list = [
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				[8,7,6,10,7,3,6,2,7,11,6,9],
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				[5,6,1,],
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				[4,7,12,],
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				]
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shape = []
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# on ajoute des lilste de point
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for l in point_list:
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	x = point_offset * ((l[0] - 1) % (point_width))
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	y = point_offset * int((l[0] - 1) / (point_width))
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	shape.append([x, y, blank])
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	debug2("=====")
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	debug2(f"id: {l[0]}\tx: {x}\ty: {y}\t\tpoint_width: {point_width}\t\n")
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	for p in l:
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		x = point_offset * ((p - 1) % (point_width))
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		y = point_offset * int((p - 1) / (point_width))
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		shape.append([x, y, white])
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		debug2(f"id: {p}\tx: {x}\ty: {y}\t\tpoint_width: {point_width}\t\n")
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while True:
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  start = time.time()
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  print(shape, flush=True);
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  looptime = time.time() - start
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  if( looptime < optimal_looptime ):
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    time.sleep( optimal_looptime - looptime)
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    debug(name+" micro sleep:"+str( optimal_looptime - looptime))
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