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annotate +multiblock/DiffOpTest.m @ 1037:2d7ba44340d0 feature/burgers1d

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Pass scheme specific parameters as cell array. This will enabale constructDiffOps to be more general. In addition, allow for schemes returning function handles as diffOps, which is currently how non-linear schemes such as Burgers1d are implemented.
author Vidar Stiernström <vidar.stiernstrom@it.uu.se>
date Fri, 18 Jan 2019 09:02:02 +0100
parents 38f203f00f3a
children
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1 function tests = DiffOpTest()
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2 tests = functiontests(localfunctions);
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3 end
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4
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5 function testCreation(testCase)
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6 do = newMultiblockOp();
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7 end
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8
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9 function testSplitOp(testCase)
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10 testCase.verifyFail();
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11 end
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12
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13 function testBoundary_condition(testCase)
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14 testCase.verifyFail();
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15 end
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16
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17 function testInterface(testCase)
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18 testCase.verifyFail();
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19 end
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20
201
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21 function testSize(testCase)
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22 mbDo = newMultiblockOp();
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23 testCase.verifyEqual(mbDo.size(), 15)
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24 end
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25
201
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26
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27 function do = mockDiffOp(size, bc, interface)
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28 do.H = 1;
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29 do.D = 1;
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30
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31 do.size = size;
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32 do.boundary_condition = bc;
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33 do.interface = interface;
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34 end
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35
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36
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37 function do = newMultiblockOp()
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38 grids = {
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39 grid.Cartesian([0 1 2], [3 4 5]);
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40 grid.Cartesian([1 2 3], [10 20]);
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41 };
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42
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43 conn = cell(2,2);
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44 conn{1, 2} = {'s','n'};
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45
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46 mbGrid = multiblock.Grid(grids, conn);
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47
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48 function [c, p] = boundary_condition(~,~,~,~)
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49 c = 1; p = 1;
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50 end
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51
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52 function [c, p] = interface(~,~,~,~)
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53 c = 1; p = 1;
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54 end
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55
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56 doHand = @(grid,~)mockDiffOp(@(~)prod(grid.size()), @boundary_condition, @interface);
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57
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58 do = multiblock.DiffOp(doHand, mbGrid, 0);
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59 end