//
// Gridded2DDoubleSet.java
//

/*
VisAD system for interactive analysis and visualization of numerical
data.  Copyright (C) 1996 - 2017 Bill Hibbard, Curtis Rueden, Tom
Rink, Dave Glowacki, Steve Emmerson, Tom Whittaker, Don Murray, and
Tommy Jasmin.

This library 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.

This library 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 this library; if not, write to the Free
Software Foundation, Inc., 59 Temple Place - Suite 330, Boston,
MA 02111-1307, USA
*/

package visad;

/**
   Gridded2DDoubleSet is a Gridded2DSet with double-precision samples.

*/ public class Gridded2DDoubleSet extends Gridded2DSet implements GriddedDoubleSet { double[] Low = new double[2]; double[] Hi = new double[2]; double LowX, HiX, LowY, HiY; double[][] Samples; // Overridden Gridded2DSet constructors (float[][]) /** a 2-D set whose topology is a lengthX x lengthY grid, with null errors, CoordinateSystem and Units are defaults from type */ public Gridded2DDoubleSet(MathType type, float[][] samples, int lengthX, int lengthY) throws VisADException { this(type, Set.floatToDouble(samples), lengthX, lengthY, null, null, null, true); } /** a 2-D set whose topology is a lengthX x lengthY grid; samples array is organized float[2][number_of_samples] where lengthX * lengthY = number_of_samples; samples must form a non-degenerate 2-D grid (no bow-tie-shaped grid boxes); the X component increases fastest in the second index of samples; coordinate_system and units must be compatible with defaults for type, or may be null; errors may be null */ public Gridded2DDoubleSet(MathType type, float[][] samples, int lengthX, int lengthY, CoordinateSystem coord_sys, Unit[] units, ErrorEstimate[] errors) throws VisADException { this(type, Set.floatToDouble(samples), lengthX, lengthY, coord_sys, units, errors, true); } Gridded2DDoubleSet(MathType type, float[][] samples, int lengthX, int lengthY, CoordinateSystem coord_sys, Unit[] units, ErrorEstimate[] errors, boolean copy) throws VisADException { this(type, Set.floatToDouble(samples), lengthX, lengthY, coord_sys, units, errors, copy); } /** a 2-D set with manifold dimension = 1, with null errors, CoordinateSystem and Units are defaults from type */ public Gridded2DDoubleSet(MathType type, float[][] samples, int lengthX) throws VisADException { this(type, Set.floatToDouble(samples), lengthX, null, null, null, true); } /** a 2-D set with manifold dimension = 1; samples array is organized float[2][number_of_samples] where lengthX = number_of_samples; no geometric constraint on samples; coordinate_system and units must be compatible with defaults for type, or may be null; errors may be null */ public Gridded2DDoubleSet(MathType type, float[][] samples, int lengthX, CoordinateSystem coord_sys, Unit[] units, ErrorEstimate[] errors) throws VisADException { this(type, Set.floatToDouble(samples), lengthX, coord_sys, units, errors, true); } public Gridded2DDoubleSet(MathType type, float[][] samples, int lengthX, CoordinateSystem coord_sys, Unit[] units, ErrorEstimate[] errors, boolean copy) throws VisADException { this(type, Set.floatToDouble(samples), lengthX, coord_sys, units, errors, copy); } // Corresponding Gridded2DDoubleSet constructors (double[][]) /** a 2-D set whose topology is a lengthX x lengthY grid, with null errors, CoordinateSystem and Units are defaults from type */ public Gridded2DDoubleSet(MathType type, double[][] samples, int lengthX, int lengthY) throws VisADException { this(type, samples, lengthX, lengthY, null, null, null, true); } /** a 2-D set whose topology is a lengthX x lengthY grid; samples array is organized double[2][number_of_samples] where lengthX * lengthY = number_of_samples; samples must form a non-degenerate 2-D grid (no bow-tie-shaped grid boxes); the X component increases fastest in the second index of samples; coordinate_system and units must be compatible with defaults for type, or may be null; errors may be null */ public Gridded2DDoubleSet(MathType type, double[][] samples, int lengthX, int lengthY, CoordinateSystem coord_sys, Unit[] units, ErrorEstimate[] errors) throws VisADException { this(type, samples, lengthX, lengthY, coord_sys, units, errors, true); } public Gridded2DDoubleSet(MathType type, double[][] samples, int lengthX, int lengthY, CoordinateSystem coord_sys, Unit[] units, ErrorEstimate[] errors, boolean copy) throws VisADException { this(type, samples, lengthX, lengthY, coord_sys, units, errors, copy, true); } public Gridded2DDoubleSet(MathType type, double[][] samples, int lengthX, int lengthY, CoordinateSystem coord_sys, Unit[] units, ErrorEstimate[] errors, boolean copy, boolean test) throws VisADException { super(type, null, lengthX, lengthY, coord_sys, units, errors, copy); if (samples == null) { throw new SetException("Gridded2DDoubleSet: samples are null"); } init_doubles(samples, copy); LowX = Low[0]; HiX = Hi[0]; LengthX = Lengths[0]; LowY = Low[1]; HiY = Hi[1]; LengthY = Lengths[1]; if (Samples != null && Lengths[0] > 1 && Lengths[1] > 1) { for (int i=0; i 0); */ // CICERO double xpos = (Samples[0][1]-Samples[0][0]) *(Samples[1][LengthX+1]-Samples[1][1]) - (Samples[1][1]-Samples[1][0]) *(Samples[0][LengthX+1]-Samples[0][1]); Pos = (xpos > 0); if (test) { // CICERO if (xpos == 0) { throw new SetException( "Gridded2DSet: samples do not form a valid grid"); } double[] v00 = new double[2]; double[] v10 = new double[2]; double[] v01 = new double[2]; double[] v11 = new double[2]; for (int j=0; j 0 != Pos) || ( (v11[0]-v10[0])*(v01[1]-v11[1]) - (v11[1]-v10[1])*(v01[0]-v11[0]) > 0 != Pos) || ( (v01[0]-v11[0])*(v00[1]-v01[1]) - (v01[1]-v11[1])*(v00[0]-v01[0]) > 0 != Pos) || ( (v00[0]-v01[0])*(v10[1]-v00[1]) - (v00[1]-v01[1])*(v10[0]-v00[0]) > 0 != Pos) ) { */ // CICERO double w1 = ( (v10[0]-v00[0])*(v11[1]-v10[1]) - (v10[1]-v00[1])*(v11[0]-v10[0]) ); double w2 = ( (v11[0]-v10[0])*(v01[1]-v11[1]) - (v11[1]-v10[1])*(v01[0]-v11[0]) ); double w3 = ( (v01[0]-v11[0])*(v00[1]-v01[1]) - (v01[1]-v11[1])*(v00[0]-v01[0]) ); double w4 = ( (v00[0]-v01[0])*(v10[1]-v00[1]) - (v00[1]-v01[1])*(v10[0]-v00[0]) ); if ((w1 > 0 != Pos) || w1 == 0 || (w2 > 0 != Pos) || w2 == 0 || (w3 > 0 != Pos) || w3 == 0 || (w4 > 0 != Pos) || w4 == 0) { throw new SetException( "Gridded2DDoubleSet: samples do not form a valid grid ("+i+","+j+")"); } } } } // end if (test) } } /** a 2-D set with manifold dimension = 1, with null errors, CoordinateSystem and Units are defaults from type */ public Gridded2DDoubleSet(MathType type, double[][] samples, int lengthX) throws VisADException { this(type, samples, lengthX, null, null, null); } /** a 2-D set with manifold dimension = 1; samples array is organized double[2][number_of_samples] where lengthX = number_of_samples; no geometric constraint on samples; coordinate_system and units must be compatible with defaults for type, or may be null; errors may be null */ public Gridded2DDoubleSet(MathType type, double[][] samples, int lengthX, CoordinateSystem coord_sys, Unit[] units, ErrorEstimate[] errors) throws VisADException { this(type, samples, lengthX, coord_sys, units, errors, true); } public Gridded2DDoubleSet(MathType type, double[][] samples, int lengthX, CoordinateSystem coord_sys, Unit[] units, ErrorEstimate[] errors, boolean copy) throws VisADException { super(type, null, lengthX, coord_sys, units, errors, copy); if (samples == null) { throw new SetException("Gridded2DDoubleSet: samples are null"); } init_doubles(samples, copy); LowX = Low[0]; HiX = Hi[0]; LengthX = Lengths[0]; LowY = Low[1]; HiY = Hi[1]; // no Samples consistency test } //END // Overridden Gridded2DSet methods (float[][]) public float[][] getSamples() throws VisADException { return getSamples(true); } public float[][] getSamples(boolean copy) throws VisADException { return Set.doubleToFloat(Samples); } /** convert an array of 1-D indices to an array of values in R^DomainDimension */ public float[][] indexToValue(int[] index) throws VisADException { return Set.doubleToFloat(indexToDouble(index)); } /** convert an array of values in R^DomainDimension to an array of 1-D indices */ public int[] valueToIndex(float[][] value) throws VisADException { return doubleToIndex(Set.floatToDouble(value)); } /** transform an array of non-integer grid coordinates to an array of values in R^DomainDimension */ public float[][] gridToValue(float[][] grid) throws VisADException { return Set.doubleToFloat(gridToDouble(Set.floatToDouble(grid))); } /** transform an array of values in R^DomainDimension to an array of non-integer grid coordinates */ public float[][] valueToGrid(float[][] value) throws VisADException { return Set.doubleToFloat(doubleToGrid(Set.floatToDouble(value))); } /** for each of an array of values in R^DomainDimension, compute an array of 1-D indices and an array of weights, to be used for interpolation; indices[i] and weights[i] are null if i-th value is outside grid (i.e., if no interpolation is possible) */ public void valueToInterp(float[][] value, int[][] indices, float[][] weights) throws VisADException { int len = weights.length; double[][] w = new double[len][]; doubleToInterp(Set.floatToDouble(value), indices, w); for (int i=0; i 1 && (Lengths[0] < 2 || Lengths[1] < 2)) { throw new SetException("Gridded2DDoubleSet.gridToDouble: requires all grid " + "dimensions to be > 1"); } // avoid any ArrayOutOfBounds exceptions by taking the shortest length int length = Math.min(grid[0].length, grid[1].length); double[][] value = new double[2][length]; for (int i=0; i LengthX-0.5) || (gy > LengthY-0.5) ) { value[0][i] = value[1][i] = Double.NaN; } else if (Length == 1) { value[0][i] = Samples[0][0]; value[1][i] = Samples[1][0]; } else { // calculate closest integer variables int igx = (int) gx; int igy = (int) gy; if (igx < 0) igx = 0; if (igx > LengthX-2) igx = LengthX-2; if (igy < 0) igy = 0; if (igy > LengthY-2) igy = LengthY-2; // set up conversion to 1D Samples array int[][] s = { {LengthX*igy+igx, // (0, 0) LengthX*(igy+1)+igx}, // (0, 1) {LengthX*igy+igx+1, // (1, 0) LengthX*(igy+1)+igx+1} }; // (1, 1) if (gx+gy-igx-igy-1 <= 0) { // point is in LOWER triangle for (int j=0; j<2; j++) { value[j][i] = Samples[j][s[0][0]] + (gx-igx)*(Samples[j][s[1][0]]-Samples[j][s[0][0]]) + (gy-igy)*(Samples[j][s[0][1]]-Samples[j][s[0][0]]); } } else { // point is in UPPER triangle for (int j=0; j<2; j++) { value[j][i] = Samples[j][s[1][1]] + (1+igx-gx)*(Samples[j][s[0][1]]-Samples[j][s[1][1]]) + (1+igy-gy)*(Samples[j][s[1][0]]-Samples[j][s[1][1]]); } } } } return value; } // WLH 6 Dec 2001 //private int gx = -1; //private int gy = -1; /** transform an array of values in R^DomainDimension to an array of non-integer grid coordinates */ public double[][] doubleToGrid(double[][] value) throws VisADException { if (value.length < DomainDimension) { throw new SetException("Gridded2DDoubleSet.doubleToGrid: bad dimension"); } if (ManifoldDimension < 2) { throw new SetException("Gridded2DDoubleSet.doubleToGrid: ManifoldDimension " + "must be 2"); } if (Length > 1 && (Lengths[0] < 2 || Lengths[1] < 2)) { throw new SetException("Gridded2DDoubleSet.doubleToGrid: requires all grid " + "dimensions to be > 1"); } int length = Math.min(value[0].length, value[1].length); double[][] grid = new double[ManifoldDimension][length]; // (gx, gy) is the current grid box guess int gx = (LengthX-1)/2; int gy = (LengthY-1)/2; /* WLH 6 Dec 2001 // use value from last call as first guess, if reasonable if (gx < 0 || gx >= LengthX || gy < 0 || gy >= LengthY) { gx = (LengthX-1)/2; gy = (LengthY-1)/2; } */ boolean lowertri = true; for (int i=0; i 0) == Pos); boolean test2 = (tval2 == 0) || ((tval2 > 0) == Pos); boolean test3 = (tval3 == 0) || ((tval3 > 0) == Pos); int ogx = gx; int ogy = gy; if (!test1 && !test2) { // Go UP & RIGHT gx++; gy--; } else if (!test2 && !test3) { // Go DOWN & LEFT gx--; gy++; } else if (!test1 && !test3) { // Go UP & LEFT gx--; gy--; } else if (!test1) { // Go UP gy--; } else if (!test3) { // Go LEFT gx--; } // Snap guesses back into the grid if (gx < 0) gx = 0; if (gx > LengthX-2) gx = LengthX-2; if (gy < 0) gy = 0; if (gy > LengthY-2) gy = LengthY-2; if ( (gx == ogx) && (gy == ogy) && (test2) ) { // Found correct grid triangle // Solve the point with the reverse interpolation grid[0][i] = ((value[0][i]-v0[0])*(v2[1]-v0[1]) + (v0[1]-value[1][i])*(v2[0]-v0[0])) / ((v1[0]-v0[0])*(v2[1]-v0[1]) + (v0[1]-v1[1])*(v2[0]-v0[0])) + gx; grid[1][i] = ((value[0][i]-v0[0])*(v1[1]-v0[1]) + (v0[1]-value[1][i])*(v1[0]-v0[0])) / ((v2[0]-v0[0])*(v1[1]-v0[1]) + (v0[1]-v2[1])*(v1[0]-v0[0])) + gy; break; } else { lowertri = false; } } // check the UPPER triangle of the grid box else { double[] bc = {v3[0]-v1[0], v3[1]-v1[1]}; double[] cd = {v2[0]-v3[0], v2[1]-v3[1]}; double[] cp = {value[0][i]-v3[0], value[1][i]-v3[1]}; double tval1 = bc[0]*bp[1]-bc[1]*bp[0]; double tval2 = cd[0]*cp[1]-cd[1]*cp[0]; double tval3 = bd[0]*dp[1]-bd[1]*dp[0]; boolean test1 = (tval1 == 0) || ((tval1 > 0) == Pos); boolean test2 = (tval2 == 0) || ((tval2 > 0) == Pos); boolean test3 = (tval3 == 0) || ((tval3 < 0) == Pos); int ogx = gx; int ogy = gy; if (!test1 && !test3) { // Go UP & RIGHT gx++; gy--; } else if (!test2 && !test3) { // Go DOWN & LEFT gx--; gy++; } else if (!test1 && !test2) { // Go DOWN & RIGHT gx++; gy++; } else if (!test1) { // Go RIGHT gx++; } else if (!test2) { // Go DOWN gy++; } // Snap guesses back into the grid if (gx < 0) gx = 0; if (gx > LengthX-2) gx = LengthX-2; if (gy < 0) gy = 0; if (gy > LengthY-2) gy = LengthY-2; if ( (gx == ogx) && (gy == ogy) && (test3) ) { // Found correct grid triangle // Solve the point with the reverse interpolation grid[0][i] = ((v3[0]-value[0][i])*(v1[1]-v3[1]) + (value[1][i]-v3[1])*(v1[0]-v3[0])) / ((v2[0]-v3[0])*(v1[1]-v3[1]) - (v2[1]-v3[1])*(v1[0]-v3[0])) + gx + 1; grid[1][i] = ((v2[1]-v3[1])*(v3[0]-value[0][i]) + (v2[0]-v3[0])*(value[1][i]-v3[1])) / ((v1[0]-v3[0])*(v2[1]-v3[1]) - (v2[0]-v3[0])*(v1[1]-v3[1])) + gy + 1; break; } else { lowertri = true; } } } if ( (grid[0][i] >= LengthX-0.5) || (grid[1][i] >= LengthY-0.5) || (grid[0][i] <= -0.5) || (grid[1][i] <= -0.5) ) { grid[0][i] = grid[1][i] = Double.NaN; } } return grid; } /** for each of an array of values in R^DomainDimension, compute an array of 1-D indices and an array of weights, to be used for interpolation; indices[i] and weights[i] are null if i-th value is outside grid (i.e., if no interpolation is possible) */ public void doubleToInterp(double[][] value, int[][] indices, double[][] weights) throws VisADException { if (value.length != DomainDimension) { throw new SetException("Gridded2DDoubleSet.doubleToInterp: value dimension " + value.length + " not equal to Domain dimension " + DomainDimension); } int length = value[0].length; // number of values if (indices.length != length) { throw new SetException("Gridded2DDoubleSet.valueToInterp: indices length " + indices.length + " doesn't match value[0] length " + value[0].length); } if (weights.length != length) { throw new SetException("Gridded2DDoubleSet.valueToInterp: weights length " + weights.length + " doesn't match value[0] length " + value[0].length); } // convert value array to grid coord array double[][] grid = doubleToGrid(value); int i, j, k; // loop indices int lis; // temporary length of is & cs int length_is; // final length of is & cs, varies by i int isoff; // offset along one grid dimension double a, b; // weights along one grid dimension; a + b = 1.0 int[] is; // array of indices, becomes part of indices double[] cs; // array of coefficients, become part of weights int base; // base index, as would be returned by valueToIndex int[] l = new int[ManifoldDimension]; // integer 'factors' of base // fractions with l; -0.5 <= c <= 0.5 double[] c = new double[ManifoldDimension]; // array of index offsets by grid dimension int[] off = new int[ManifoldDimension]; off[0] = 1; for (j=1; j= 0.0))) { // only interp along ManifoldDimension-1 // if between two valid grid coords length_is *= 2; } base = l[ManifoldDimension-1]; } for (j=ManifoldDimension-2; j>=0 && base>=0; j--) { if (Double.isNaN(grid[j][i])) { base = -1; } else { l[j] = (int) (grid[j][i] + 0.5); if (l[j] == Lengths[j]) l[j]--; // WLH 23 Dec 99 c[j] = grid[j][i] - ((double) l[j]); if (!((l[j] == 0 && c[j] <= 0.0) || (l[j] == Lengths[j] - 1 && c[j] >= 0.0))) { // only interp along dimension j if between two valid grid coords length_is *= 2; } base = l[j] + Lengths[j] * base; } } if (base < 0) { // value is out of grid so return null is = null; cs = null; } else { // create is & cs of proper length, and init first element is = new int[length_is]; cs = new double[length_is]; is[0] = base; cs[0] = 1.0f; lis = 1; for (j=0; j= 0.0))) { // only interp along dimension j if between two valid grid coords if (c[j] >= 0.0) { // grid coord above base isoff = off[j]; a = 1.0f - c[j]; b = c[j]; } else { // grid coord below base isoff = -off[j]; a = 1.0f + c[j]; b = -c[j]; } // double is & cs; adjust new offsets; split weights for (k=0; k Hi[j]) Hi[j] = SamplesJ[i]; } else { SamplesJ[i] = Double.NaN; } sum += SamplesJ[i]; } if (SetErrors[j] != null ) { SetErrors[j] = new ErrorEstimate(SetErrors[j].getErrorValue(), sum / Length, Length, SetErrors[j].getUnit()); } super.Low[j] = (float) Low[j]; super.Hi[j] = (float) Hi[j]; } } public void cram_missing(boolean[] range_select) { int n = Math.min(range_select.length, Samples[0].length); for (int i=0; i

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