Mercurial > repos > public > sbplib

annotate +grid/evalOnScalarTest.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 f688e2bdb74a
children
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273
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1 function tests = evalOnScalarTest()
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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 testInputConstant(testCase)
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6 in = {
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7 0,
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8 47,
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9 1,
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10 [1; 2],
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11 };
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12
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13 out = {
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14 [0; 0; 0],
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15 [47; 47; 47],
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16 [1; 1; 1],
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17 [1; 2; 1; 2; 1; 2],
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18 };
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19
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20 g = getTestGrid('1d');
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21
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22 for i = 1:length(in)
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23 gf = grid.evalOnScalar(g,in{i});
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24 testCase.verifyEqual(gf, out{i});
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25 end
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26 end
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27
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28 function testInputScalarFunction1d(testCase)
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29 in = {
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30 @(x)1+x*0,
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31 @(x)x,
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32 @(x)x.*x,
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33 };
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34
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35 out = {
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36 [1; 1; 1],
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37 [0; 1; 2],
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38 [0; 1; 4],
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39 };
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40
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41 g = getTestGrid('1d');
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42
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43 for i = 1:length(in)
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44 gf = grid.evalOnScalar(g,in{i});
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45 testCase.verifyEqual(gf, out{i});
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46 end
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47 end
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48
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49 function testInputScalarFunction2d(testCase)
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50 in = {
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51 @(x,y)1+x*0,
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52 @(x,y)x-y,
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53 @(x,y)x./(1+y),
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54 };
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55
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56 out = {
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57 [1; 1; 1; 1; 1; 1; 1; 1; 1],
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58 [0; -1; -2; 1; 0; -1; 2; 1; 0],
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59 [0; 0; 0; 1; 1/2; 1/3; 2; 1; 2/3],
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60 };
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61
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62 g = getTestGrid('2d');
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63
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64 for i = 1:length(in)
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65 gf = grid.evalOnScalar(g, in{i});
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66 testCase.verifyEqual(gf, out{i});
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67 end
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68 end
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69
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70
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71 function testInputVectorFunction(testCase)
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72 g = getTestGrid('1d');
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73 in = @(x)[x; -2*x];
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74 out = [0; 0; 1; -2; 2; -4];
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75
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76 gf = grid.evalOnScalar(g,in);
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77 testCase.verifyEqual(gf, out);
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78
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79 g = getTestGrid('2d');
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80 in = @(x,y)[x.^2; -2*y];
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81 out = [
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82 0; 0;
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83 0; -2;
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84 0; -4;
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85 1; 0;
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86 1; -2;
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87 1; -4;
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88 4; 0;
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89 4; -2;
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90 4; -4;
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91 ];
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92
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93 gf = grid.evalOnScalar(g,in);
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94 testCase.verifyEqual(gf, out);
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95 end
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96
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97
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98 function testInputErrorVectorValued(testCase)
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99 in = {
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100 [1,2,3],
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101 @(x,y)[x,-y];
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102 };
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103
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104 g = getTestGrid('2d');
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105
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106 for i = 1:length(in)
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107 testCase.verifyError(@()grid.evalOnScalar(g, in{i}),'grid:evalOnScalar:VectorValuedWrongDim',sprintf('in(%d) = %s',i,toString(in{i})));
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108 end
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109 end
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110
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111 function g = getTestGrid(d)
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112 switch d
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113 case '1d'
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114 g = grid.equidistant(3,{0,2});
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115 case '2d'
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116 g = grid.equidistant([3,3],{0,2},{0,2});
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117 end
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118 end