'use strict'; module.exports = { // some constants to help with marching squares algorithm // where does the path start for each index? BOTTOMSTART: [1, 9, 13, 104, 713], TOPSTART: [4, 6, 7, 104, 713], LEFTSTART: [8, 12, 14, 208, 1114], RIGHTSTART: [2, 3, 11, 208, 1114], // which way [dx,dy] do we leave a given index? // saddles are already disambiguated NEWDELTA: [ null, [-1, 0], [0, -1], [-1, 0], [1, 0], null, [0, -1], [-1, 0], [0, 1], [0, 1], null, [0, 1], [1, 0], [1, 0], [0, -1] ], // for each saddle, the first index here is used // for dx||dy<0, the second for dx||dy>0 CHOOSESADDLE: { 104: [4, 1], 208: [2, 8], 713: [7, 13], 1114: [11, 14] }, // after one index has been used for a saddle, which do we // substitute to be used up later? SADDLEREMAINDER: {1: 4, 2: 8, 4: 1, 7: 13, 8: 2, 11: 14, 13: 7, 14: 11}, // length of a contour, as a multiple of the plot area diagonal, per label LABELDISTANCE: 2, // number of contour levels after which we start increasing the number of // labels we draw. Many contours means they will generally be close // together, so it will be harder to follow a long way to find a label LABELINCREASE: 10, // minimum length of a contour line, as a multiple of the label length, // at which we draw *any* labels LABELMIN: 3, // max number of labels to draw on a single contour path, no matter how long LABELMAX: 10, // constants for the label position cost function LABELOPTIMIZER: { // weight given to edge proximity EDGECOST: 1, // weight given to the angle off horizontal ANGLECOST: 1, // weight given to distance from already-placed labels NEIGHBORCOST: 5, // cost multiplier for labels on the same level SAMELEVELFACTOR: 10, // minimum distance (as a multiple of the label length) // for labels on the same level SAMELEVELDISTANCE: 5, // maximum cost before we won't even place the label MAXCOST: 100, // number of evenly spaced points to look at in the first // iteration of the search INITIALSEARCHPOINTS: 10, // number of binary search iterations after the initial wide search ITERATIONS: 5 } };