--[[
	Simple vector plot example

  Copyright (C) 2008  Werner Smekal

  This file is part of PLplot.

  PLplot is free software you can redistribute it and/or modify
  it under the terms of the GNU Library General Public License as published
  by the Free Software Foundation either version 2 of the License, or
  (at your option) any later version.

  PLplot is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  GNU Library General Public License for more details.

  You should have received a copy of the GNU Library General Public License
  along with PLplot if not, write to the Free Software
  Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
--]]

-- initialise Lua bindings for PLplot examples.
dofile("plplot_examples.lua")

-- Pairs of points making the line segments used to plot the user defined arrow 
arrow_x  = { -0.5, 0.5, 0.3, 0.5,  0.3, 0.5 }
arrow_y  = {    0,   0, 0.2,   0, -0.2,   0 }
arrow2_x = { -0.5, 0.3, 0.3, 0.5,  0.3, 0.3 }
arrow2_y = {    0,   0, 0.2,   0, -0.2,   0 }


-- Vector plot of the circulation about the origin
function circulation()
	nx = 20
	ny = 20
	dx = 1
	dy = 1

	xmin = -nx/2*dx
	xmax = nx/2*dx
	ymin = -ny/2*dy
	ymax = ny/2*dy

	cgrid2 = {}
	cgrid2["xg"] = {}
	cgrid2["yg"] = {}
	cgrid2["nx"] = nx
	cgrid2["ny"] = ny
	u = {}
	v = {}
	
	-- Create data - circulation around the origin. 
	for i = 1, nx do	
		x = (i-1-nx/2+0.5)*dx
		cgrid2["xg"][i] = {}
		cgrid2["yg"][i] = {}
		u[i] = {}
		v[i] = {}
		for j=1, ny do
			y = (j-1-ny/2+0.5)*dy
			cgrid2["xg"][i][j] = x
			cgrid2["yg"][i][j] = y
			u[i][j] = y
			v[i][j] = -x
		end
	end

	-- Plot vectors with default arrows 
	pl.env(xmin, xmax, ymin, ymax, 0, 0)
	pl.lab("(x)", "(y)", "#frPLplot Example 22 - circulation")
	pl.col0(2)
	pl.vect(u, v, 0, "pltr2", cgrid2 )
	pl.col0(1)
end


-- Vector plot of flow through a constricted pipe
function constriction( astyle )
	nx = 20
	ny = 20
	dx = 1
	dy = 1

	xmin = -nx/2*dx
	xmax = nx/2*dx
	ymin = -ny/2*dy
	ymax = ny/2*dy

  cgrid2 = {}
	cgrid2["xg"] = {}
	cgrid2["yg"] = {}
	cgrid2["nx"] = nx
	cgrid2["ny"] = ny
	u = {}
	v = {}
	
	Q = 2
	for i = 1, nx do	
		x = (i-1-nx/2+0.5)*dx
		cgrid2["xg"][i] = {}
		cgrid2["yg"][i] = {}
		u[i] = {}
		v[i] = {}
		for j = 1, ny do
			y = (j-1-ny/2+0.5)*dy
	    cgrid2["xg"][i][j] = x
	    cgrid2["yg"][i][j] = y
	    b = ymax/4*(3-math.cos(math.pi*x/xmax))
			if math.abs(y)<b then
				dbdx = ymax/4*math.sin(math.pi*x/xmax)*math.pi/xmax*y/b
				u[i][j] = Q*ymax/b
				v[i][j] = dbdx*u[i][j]
			else
				u[i][j] = 0
				v[i][j] = 0
			end
		end
	end

	pl.env(xmin, xmax, ymin, ymax, 0, 0)
	title = string.format( "#frPLplot Example 22 - constriction (arrow style %d)", astyle )
	pl.lab("(x)", "(y)", title)
	pl.col0(2)
	pl.vect(u, v, -1.0, "pltr2", cgrid2)
	pl.col0(1)
end

-- Note this function uses the global variable xmax rather than passing 
-- data as in C.
function transform(x,y)
	 
	xt = x
	yt = y / 4.0 * ( 3 - math.cos( math.pi * x / xmax ))

	return xt, yt
end

-- Vector plot of flow through a constricted pipe
function constriction2()
	nx = 20
	ny = 20
	nc = 11
	nseg = 20

	dx = 1
	dy = 1

	xmin = -nx/2*dx
	xmax = nx/2*dx
	ymin = -ny/2*dy
	ymax = ny/2*dy

	pl.stransform( "transform" )

	cgrid2 = {}
	cgrid2["xg"] = {}
	cgrid2["yg"] = {}
	cgrid2["nx"] = nx
	cgrid2["ny"] = ny
	u = {}
	v = {}
	
	Q = 2
	for i = 1, nx do	
		x = (i-1-nx/2+0.5)*dx
		cgrid2["xg"][i] = {}
		cgrid2["yg"][i] = {}
		u[i] = {}
		v[i] = {}
		for j = 1, ny do
			y = (j-1-ny/2+0.5)*dy
			cgrid2["xg"][i][j] = x
			cgrid2["yg"][i][j] = y
			b = ymax/4*(3-math.cos(math.pi*x/xmax))
			u[i][j] = Q*ymax/b
			v[i][j] = 0.0
		end
	end

	clev = {}
	for i = 1, nc do
	    clev[i] = Q + (i-1)*Q/(nc-1)
	end 

	pl.env(xmin, xmax, ymin, ymax, 0, 0)
	pl.lab("(x)", "(y)", "#frPLplot Example 22 - constriction with plstransform")
	pl.col0(2)
	pl.shades(u, xmin+dx/2, xmax-dx/2, ymin+dy/2, ymax-dy/2, clev, 0.0, 1, 1.0, 0 );
	pl.vect(u, v, -1.0, "pltr2", cgrid2)
	pl.path( nseg, xmin, ymax, xmax, ymax );
	pl.path( nseg, xmin, ymin, xmax, ymin );
	pl.col0(1)

	pl.stransform()

end


function f2mnmx(f, nx, ny)
	fmax = f[1][1]
	fmin = fmax

	for i=1, nx do
		for j=1, ny do
	    fmax = math.max(fmax, f[i][j])
	    fmin = math.min(fmin, f[i][j])
		end
	end
		
	return fmin, fmax
end

-- Vector plot of the gradient of a shielded potential (see example 9)
function potential()
  nper = 100
  nlevel = 10
  nr = 20
  ntheta = 20

  u = {}
  v = {}
  z = {}
  clevel = {}
  px = {}
  py = {}

  cgrid2 = {}
  cgrid2["xg"] = {}
  cgrid2["yg"] = {}
  cgrid2["nx"] = nr
  cgrid2["ny"] = ntheta

  -- Potential inside a conducting cylinder (or sphere) by method of images.
  -- Charge 1 is placed at (d1, d1), with image charge at (d2, d2).
  -- Charge 2 is placed at (d1, -d1), with image charge at (d2, -d2).
  -- Also put in smoothing term at small distances.
  rmax = nr

  eps = 2

  q1 = 1
  d1 = rmax/4

  q1i = -q1*rmax/d1
  d1i = rmax^2/d1

  q2 = -1
  d2 = rmax/4

  q2i = -q2*rmax/d2
  d2i = rmax^2/d2

  for i = 1, nr do
	  r = i - 0.5
    cgrid2["xg"][i] = {}
    cgrid2["yg"][i] = {}
    u[i] = {}
    v[i] = {}
    z[i] = {}
	  for j = 1, ntheta do
	    theta = 2*math.pi/(ntheta-1)*(j-0.5)
	    x = r*math.cos(theta)
	    y = r*math.sin(theta)
	    cgrid2["xg"][i][j] = x
	    cgrid2["yg"][i][j] = y
	    div1 = math.sqrt((x-d1)^2 + (y-d1)^2 + eps^2)
	    div1i = math.sqrt((x-d1i)^2 + (y-d1i)^2 + eps^2)
	    div2 = math.sqrt((x-d2)^2 + (y+d2)^2 + eps^2)
	    div2i = math.sqrt((x-d2i)^2 + (y+d2i)^2 + eps^2)
	    z[i][j] = q1/div1 + q1i/div1i + q2/div2 + q2i/div2i
	    u[i][j] = -q1*(x-d1)/div1^3 - q1i*(x-d1i)/div1i^3
		            -q2*(x-d2)/div2^3 - q2i*(x-d2i)/div2i^3
	    v[i][j] = -q1*(y-d1)/div1^3 - q1i*(y-d1i)/div1i^3
		            -q2*(y+d2)/div2^3 - q2i*(y+d2i)/div2i^3
	  end
  end

  xmin, xmax = f2mnmx(cgrid2["xg"], nr, ntheta)
  ymin, ymax = f2mnmx(cgrid2["yg"], nr, ntheta)
  zmin, zmax = f2mnmx(z, nr, ntheta)

  pl.env(xmin, xmax, ymin, ymax, 0, 0)
  pl.lab("(x)", "(y)", "#frPLplot Example 22 - potential gradient vector plot")

  -- Plot contours of the potential 
  dz = (zmax-zmin)/nlevel
  for i = 1, nlevel do
  	clevel[i] = zmin + (i-0.5)*dz
  end
  
  pl.col0(3)
  pl.lsty(2)
  pl.cont(z, 1, nr, 1, ntheta, clevel, "pltr2", cgrid2)
  pl.lsty(1)
  pl.col0(1)

  -- Plot the vectors of the gradient of the potential 
  pl.col0(2)
  pl.vect(u, v, 25, "pltr2", cgrid2)
  pl.col0(1)

  -- Plot the perimeter of the cylinder 
  for i=1, nper do
    theta = 2*math.pi/(nper-1)*(i-1)
    px[i] = rmax*math.cos(theta)
    py[i] = rmax*math.sin(theta)
  end
  
  pl.line(px, py)
end


----------------------------------------------------------------------------
-- main
--
-- Generates several simple vector plots.
----------------------------------------------------------------------------

-- Parse and process command line arguments 
pl.parseopts(arg, pl.PL_PARSE_FULL)

-- Initialize plplot 
pl.init()

circulation()

fill = 0

-- Set arrow style using arrow_x and arrow_y then
-- plot using these arrows.
pl.svect(arrow_x, arrow_y, fill)
constriction(1)

-- Set arrow style using arrow2_x and arrow2_y then
-- plot using these filled arrows. 
fill = 1
pl.svect(arrow2_x, arrow2_y, fill)
constriction(2)

constriction2()

pl.svect(nil, nil, 0)

potential()

pl.plend()
