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31 lines
1.7 KiB
JavaScript
31 lines
1.7 KiB
JavaScript
// TEST DATA
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// Keyed by mocha test ID
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// Python code for generating test data can be found in the matching jupyter notebook in folder `notebooks/`.
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(function () {
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var DATA = {
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'convolutional.UpSampling1D.0': {
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input: {
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data: [0.262, 0.764609, -0.482897, -0.371755, 0.871769, 0.490033, -0.986894, -0.960468, 0.373039, 0.911356, 0.00298, 0.270652, 0.749006, 0.692235, 0.471778],
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shape: [3, 5]
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},
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expected: {
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data: [0.262, 0.764609, -0.482897, -0.371755, 0.871769, 0.262, 0.764609, -0.482897, -0.371755, 0.871769, 0.490033, -0.986894, -0.960468, 0.373039, 0.911356, 0.490033, -0.986894, -0.960468, 0.373039, 0.911356, 0.00298, 0.270652, 0.749006, 0.692235, 0.471778, 0.00298, 0.270652, 0.749006, 0.692235, 0.471778],
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shape: [6, 5]
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}
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},
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'convolutional.UpSampling1D.1': {
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input: {
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data: [0.562988, 0.168418, -0.14658, -0.369311, 0.653777, 0.806859, -0.922124, 0.830445, -0.878989, -0.638546, -0.855401, -0.082476, 0.416718, -0.03353, -0.949107, -0.866195],
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shape: [4, 4]
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},
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expected: {
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data: [0.562988, 0.168418, -0.14658, -0.369311, 0.562988, 0.168418, -0.14658, -0.369311, 0.562988, 0.168418, -0.14658, -0.369311, 0.653777, 0.806859, -0.922124, 0.830445, 0.653777, 0.806859, -0.922124, 0.830445, 0.653777, 0.806859, -0.922124, 0.830445, -0.878989, -0.638546, -0.855401, -0.082476, -0.878989, -0.638546, -0.855401, -0.082476, -0.878989, -0.638546, -0.855401, -0.082476, 0.416718, -0.03353, -0.949107, -0.866195, 0.416718, -0.03353, -0.949107, -0.866195, 0.416718, -0.03353, -0.949107, -0.866195],
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shape: [12, 4]
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}
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}
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}
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window.TEST_DATA = Object.assign({}, window.TEST_DATA, DATA)
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})()
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