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baldurk
a9151a8c0b
* Built entirely independently of the main renderdoc build (for now). * Contains python scripts & framework for running tests on a renderdoc build, which will be run nightly.
294 lines
14 KiB
Python
294 lines
14 KiB
Python
import rdtest
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import renderdoc as rd
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class GL_CBuffer_Zoo(rdtest.TestCase):
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def get_capture(self):
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return rdtest.run_and_capture("demos_x64", "GL_CBuffer_Zoo", 5)
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def check_capture(self):
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draw = self.find_draw("Draw")
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self.check(draw is not None)
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self.controller.SetFrameEvent(draw.eventId, False)
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pipe: rd.PipeState = self.controller.GetPipelineState()
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stage = rd.ShaderStage.Pixel
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cbuf: rd.BoundCBuffer = pipe.GetConstantBuffer(stage, 0, 0)
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var_check = rdtest.ConstantBufferChecker(
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self.controller.GetCBufferVariableContents(pipe.GetShader(stage),
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pipe.GetShaderEntryPoint(stage), 0,
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cbuf.resourceId, cbuf.byteOffset))
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# For more detailed reference for the below checks, see the commented definition of the cbuffer
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# in the shader source code in the demo itself
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# vec4 a;
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var_check.check('a').cols(4).rows(1).value([0.0, 1.0, 2.0, 3.0])
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# vec3 b;
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var_check.check('b').cols(3).rows(1).value([4.0, 5.0, 6.0])
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# vec2 c; vec2 d;
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var_check.check('c').cols(2).rows(1).value([8.0, 9.0])
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var_check.check('d').cols(2).rows(1).value([10.0, 11.0])
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# float e; vec3 f;
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var_check.check('e').cols(1).rows(1).value([12.0])
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var_check.check('f').cols(3).rows(1).value([16.0, 17.0, 18.0])
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# vec4 dummy0;
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var_check.check('dummy0')
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# float j; vec2 k;
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var_check.check('j').cols(1).rows(1).value([24.0])
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var_check.check('k').cols(2).rows(1).value([26.0, 27.0])
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# vec2 l; float m;
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var_check.check('l').cols(2).rows(1).value([28.0, 29.0])
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var_check.check('m').cols(1).rows(1).value([30.0])
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# float n[4];
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var_check.check('n').cols(0).rows(0).arraySize(4).members({
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0: lambda x: x.cols(1).rows(1).value([32.0]),
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1: lambda x: x.cols(1).rows(1).value([36.0]),
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2: lambda x: x.cols(1).rows(1).value([40.0]),
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3: lambda x: x.cols(1).rows(1).value([44.0]),
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})
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# vec4 dummy1;
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var_check.check('dummy1')
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# float o[4];
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var_check.check('o').cols(0).rows(0).arraySize(4).members({
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0: lambda x: x.cols(1).rows(1).value([52.0]),
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1: lambda x: x.cols(1).rows(1).value([56.0]),
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2: lambda x: x.cols(1).rows(1).value([60.0]),
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3: lambda x: x.cols(1).rows(1).value([64.0]),
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})
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# float p;
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var_check.check('p').cols(1).rows(1).value([68.0])
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# vec4 dummy2;
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var_check.check('dummy2')
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# column_major vec4x4 q;
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var_check.check('q').cols(4).rows(4).column_major().value([76.0, 80.0, 84.0, 88.0,
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77.0, 81.0, 85.0, 89.0,
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78.0, 82.0, 86.0, 90.0,
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79.0, 83.0, 87.0, 91.0])
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# row_major vec4x4 r;
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var_check.check('r').cols(4).rows(4).row_major().value([92.0, 93.0, 94.0, 95.0,
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96.0, 97.0, 98.0, 99.0,
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100.0, 101.0, 102.0, 103.0])
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# column_major vec4x3 s;
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var_check.check('s').cols(4).rows(3).column_major().value([108.0, 112.0, 116.0, 120.0,
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109.0, 113.0, 117.0, 121.0,
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110.0, 114.0, 118.0, 122.0])
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# vec4 dummy3;
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var_check.check('dummy3')
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# row_major vec4x3 t;
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var_check.check('t').cols(4).rows(3).row_major().value([128.0, 129.0, 130.0, 131.0,
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132.0, 133.0, 134.0, 135.0,
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136.0, 137.0, 138.0, 139.0])
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# vec4 dummy4;
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var_check.check('dummy4')
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# column_major vec2x3 u;
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var_check.check('u').cols(3).rows(2).column_major().value([144.0, 148.0, 152.0,
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145.0, 149.0, 153.0])
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# vec4 dummy5;
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var_check.check('dummy5')
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# row_major vec3x2 v;
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var_check.check('v').cols(3).rows(2).row_major().value([160.0, 161.0, 162.0,
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164.0, 165.0, 166.0])
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# vec4 dummy6;
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var_check.check('dummy6')
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# column_major vec3x2 w;
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var_check.check('w').cols(2).rows(2).column_major().value([172.0, 176.0,
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173.0, 177.0])
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# vec4 dummy7;
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var_check.check('dummy7')
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# row_major vec3x2 x;
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var_check.check('x').cols(2).rows(2).row_major().value([184.0, 185.0,
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188.0, 189.0])
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# vec4 dummy8;
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var_check.check('dummy8')
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# row_major vec2x2 y;
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var_check.check('y').cols(2).rows(2).row_major().value([196.0, 197.0,
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200.0, 201.0])
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# float z;
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var_check.check('z').cols(1).rows(1).value([204.0])
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# vec4 dummy9;
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var_check.check('dummy9')
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# vec4 multiarray[3][2];
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var_check.check('multiarray').cols(0).rows(0).arraySize(3).members({
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0: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([228.0, 229.0, 230.0, 231.0]),
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1: lambda y: y.cols(4).rows(1).value([232.0, 233.0, 234.0, 235.0]),
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}),
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1: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([236.0, 237.0, 238.0, 239.0]),
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1: lambda y: y.cols(4).rows(1).value([240.0, 241.0, 242.0, 243.0]),
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}),
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2: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([244.0, 245.0, 246.0, 247.0]),
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1: lambda y: y.cols(4).rows(1).value([248.0, 249.0, 250.0, 251.0]),
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}),
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})
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# struct vec3_1 { vec3 a; float b; };
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# struct nested { vec3_1 a; vec4 b[4]; vec3_1 c[4]; };
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# nested structa[2];
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var_check.check('structa').cols(0).rows(0).arraySize(2).members({
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# structa[0]
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0: lambda s: s.cols(0).rows(0).structSize(3).members({
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'a': lambda x: x.cols(0).rows(0).structSize(2).members({
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'a': lambda y: y.cols(3).rows(1).value([252.0, 253.0, 254.0]),
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'b': lambda y: y.cols(1).rows(1).value([255.0]),
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}),
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'b': lambda x: x.cols(0).rows(0).arraySize(4).members({
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0: lambda y: y.cols(4).rows(1).value([256.0, 257.0, 258.0, 259.0]),
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1: lambda y: y.cols(4).rows(1).value([260.0, 261.0, 262.0, 263.0]),
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2: lambda y: y.cols(4).rows(1).value([264.0, 265.0, 266.0, 267.0]),
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3: lambda y: y.cols(4).rows(1).value([268.0, 269.0, 270.0, 271.0]),
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}),
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'c': lambda x: x.cols(0).rows(0).arraySize(4).members({
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0: lambda y: y.cols(0).rows(0).structSize(2).members({
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'a': lambda z: z.cols(3).rows(1).value([272.0, 273.0, 274.0]),
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'b': lambda z: z.cols(1).rows(1).value([275.0]),
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}),
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1: lambda y: y.cols(0).rows(0).structSize(2).members({
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'a': lambda z: z.cols(3).rows(1).value([276.0, 277.0, 278.0]),
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'b': lambda z: z.cols(1).rows(1).value([279.0]),
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}),
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2: lambda y: y.cols(0).rows(0).structSize(2).members({
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'a': lambda z: z.cols(3).rows(1).value([280.0, 281.0, 282.0]),
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'b': lambda z: z.cols(1).rows(1).value([283.0]),
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}),
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3: lambda y: y.cols(0).rows(0).structSize(2).members({
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'a': lambda z: z.cols(3).rows(1).value([284.0, 285.0, 286.0]),
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'b': lambda z: z.cols(1).rows(1).value([287.0]),
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}),
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}),
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}),
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# structa[1]
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1: lambda s: s.cols(0).rows(0).structSize(3).members({
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'a': lambda x: x.cols(0).rows(0).structSize(2).members({
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'a': lambda y: y.cols(3).rows(1).value([288.0, 289.0, 290.0]),
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'b': lambda y: y.cols(1).rows(1).value([291.0]),
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}),
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'b': lambda x: x.cols(0).rows(0).arraySize(4).members({
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0: lambda y: y.cols(4).rows(1).value([292.0, 293.0, 294.0, 295.0]),
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1: lambda y: y.cols(4).rows(1).value([296.0, 297.0, 298.0, 299.0]),
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2: lambda y: y.cols(4).rows(1).value([300.0, 301.0, 302.0, 303.0]),
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3: lambda y: y.cols(4).rows(1).value([304.0, 305.0, 306.0, 307.0]),
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}),
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'c': lambda x: x.cols(0).rows(0).arraySize(4).members({
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0: lambda y: y.cols(0).rows(0).structSize(2).members({
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'a': lambda z: z.cols(3).rows(1).value([308.0, 309.0, 310.0]),
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'b': lambda z: z.cols(1).rows(1).value([311.0]),
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}),
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1: lambda y: y.cols(0).rows(0).structSize(2).members({
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'a': lambda z: z.cols(3).rows(1).value([312.0, 313.0, 314.0]),
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'b': lambda z: z.cols(1).rows(1).value([315.0]),
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}),
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2: lambda y: y.cols(0).rows(0).structSize(2).members({
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'a': lambda z: z.cols(3).rows(1).value([316.0, 317.0, 318.0]),
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'b': lambda z: z.cols(1).rows(1).value([319.0]),
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}),
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3: lambda y: y.cols(0).rows(0).structSize(2).members({
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'a': lambda z: z.cols(3).rows(1).value([320.0, 321.0, 322.0]),
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'b': lambda z: z.cols(1).rows(1).value([323.0]),
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}),
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}),
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}),
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})
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# vec4 test;
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var_check.check('test').cols(4).rows(1).value([324.0, 325.0, 326.0, 327.0])
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# vec4 multiarray2[4][3][2];
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var_check.check('multiarray2').cols(0).rows(0).arraySize(4).members({
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0: lambda w: w.cols(0).rows(0).arraySize(3).members({
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0: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([328.0, 329.0, 330.0, 331.0]),
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1: lambda y: y.cols(4).rows(1).value([332.0, 333.0, 334.0, 335.0]),
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}),
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1: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([336.0, 337.0, 338.0, 339.0]),
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1: lambda y: y.cols(4).rows(1).value([340.0, 341.0, 342.0, 343.0]),
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}),
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2: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([344.0, 345.0, 346.0, 347.0]),
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1: lambda y: y.cols(4).rows(1).value([348.0, 349.0, 350.0, 351.0]),
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}),
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}),
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1: lambda w: w.cols(0).rows(0).arraySize(3).members({
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0: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([352.0, 353.0, 354.0, 355.0]),
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1: lambda y: y.cols(4).rows(1).value([356.0, 357.0, 358.0, 359.0]),
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}),
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1: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([360.0, 361.0, 362.0, 363.0]),
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1: lambda y: y.cols(4).rows(1).value([364.0, 365.0, 366.0, 367.0]),
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}),
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2: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([368.0, 369.0, 370.0, 371.0]),
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1: lambda y: y.cols(4).rows(1).value([372.0, 373.0, 374.0, 375.0]),
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}),
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}),
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2: lambda w: w.cols(0).rows(0).arraySize(3).members({
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0: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([376.0, 377.0, 378.0, 379.0]),
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1: lambda y: y.cols(4).rows(1).value([380.0, 381.0, 382.0, 383.0]),
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}),
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1: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([384.0, 385.0, 386.0, 387.0]),
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1: lambda y: y.cols(4).rows(1).value([388.0, 389.0, 390.0, 391.0]),
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}),
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2: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([392.0, 393.0, 394.0, 395.0]),
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1: lambda y: y.cols(4).rows(1).value([396.0, 397.0, 398.0, 399.0]),
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}),
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}),
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3: lambda w: w.cols(0).rows(0).arraySize(3).members({
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0: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([400.0, 401.0, 402.0, 403.0]),
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1: lambda y: y.cols(4).rows(1).value([404.0, 405.0, 406.0, 407.0]),
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}),
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1: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([408.0, 409.0, 410.0, 411.0]),
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1: lambda y: y.cols(4).rows(1).value([412.0, 413.0, 414.0, 415.0]),
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}),
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2: lambda x: x.cols(0).rows(0).arraySize(2).members({
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0: lambda y: y.cols(4).rows(1).value([416.0, 417.0, 418.0, 419.0]),
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1: lambda y: y.cols(4).rows(1).value([420.0, 421.0, 422.0, 423.0]),
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}),
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}),
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})
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var_check.done()
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rdtest.log.success("CBuffer variables are as expected")
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