// TEST DATA
// Keyed by mocha test ID
// Python code for generating test data can be found in the matching jupyter notebook in folder `notebooks/`.

(function () {
  var DATA = {
    'convolutional.Cropping1D.0': {
      input: {
        data: [-0.412987, -0.139246, 0.567466, -0.512174, -0.33603, 0.585584, 0.453472, 0.942013, -0.609538, -0.894302, 0.711927, -0.126057, 0.677549, 0.676991, 0.471487, 0.752844, 0.218213, 0.37408, 0.09404, -0.786108, -0.1961, -0.031679, -0.188902, 0.846634],
        shape: [6,4]
      },
      expected: {
        data: [-0.33603, 0.585584, 0.453472, 0.942013, -0.609538, -0.894302, 0.711927, -0.126057, 0.677549, 0.676991, 0.471487, 0.752844, 0.218213, 0.37408, 0.09404, -0.786108],
        shape: [4, 4]
      }
    },
    'convolutional.Cropping1D.1': {
      input: {
        data: [0.229895, 0.156613, -0.66952, -0.996975, 0.45773, 0.684298, -0.999213, 0.276751, -0.484373, -0.506163, 0.353904, 0.513668, -0.981594, 0.78914, 0.603978, 0.204066, 0.532874, 0.866766, -0.544852, 0.876693, -0.523052, -0.716556, 0.875262, 0.544879],
        shape: [6, 4]
      },
      expected: {
        data: [-0.484373, -0.506163, 0.353904, 0.513668],
        shape: [1, 4]
      }
    }
  }

  window.TEST_DATA = Object.assign({}, window.TEST_DATA, DATA)
})()