# Seeds for failure cases proptest has generated in the past. It is
# automatically read and these particular cases re-run before any
# novel cases are generated.
#
# It is recommended to check this file in to source control so that
# everyone who runs the test benefits from these saved cases.
cc a381e12b1f0cdfcee763328ac00d6d72693f95bd8d81d79ca134dc60f045b118 # shrinks to mut constellation = Constellation { arena: [StarNode { star: Star { representation: Affine { basis: [[1.0]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, shift: [0.0], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1 }, constraints: Some(Polytope { halfspaces: Inequality { coeffs: [[-1.0],  [1.0]], shape=[2, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, rhs: [29.934300921695012, 29.934300921695012], shape=[2], strides=[1], layout=CFcf (0xf), const ndim=1 } }) }, dnn_index: DNNIndex { layer: None, remaining_steps: None }, star_cdf: None, local_bounds: None, output_bounds: None, is_feasible: true }], children: [None], cdf: [None], loc: [0.0], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1, scale: [[8.552657406198575]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, dnn: DNN { layers: [Dense(Affine { basis: [[-1.5431394326665462]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, shift: [0.0], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1 }), ReLU(1), Dense(Affine { basis: [[3.7228715219085107]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, shift: [0.5046579277856509], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1 }), ReLU(1)] }, input_bounds: Some(Bounds { data: [[-29.934300921695012],  [29.934300921695012]], shape=[2, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2 }) }
cc 63301c3511e88524c91594568fbc1a33f67a3bed5235605d637201e9debe66ab # shrinks to mut constellation = Constellation { arena: [StarNode { star: Star { representation: Affine { basis: [[1.0]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, shift: [0.0], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1 }, constraints: Some(Polytope { halfspaces: Inequality { coeffs: [[-1.0],  [1.0]], shape=[2, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, rhs: [0.000035000000000000004, 0.000035000000000000004], shape=[2], strides=[1], layout=CFcf (0xf), const ndim=1 } }) }, dnn_index: DNNIndex { layer: None, remaining_steps: None }, star_cdf: None, local_bounds: None, output_bounds: None, is_feasible: true }], node_type: [None], loc: [0.0], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1, scale: [[0.00001]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, dnn: DNN { layers: [Dense(Affine { basis: [[0.0]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, shift: [0.0], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1 }), ReLU(1), Dense(Affine { basis: [[0.0]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, shift: [5.149328500345618], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1 }), ReLU(1)] }, input_bounds: Some(Bounds { data: [[-0.000035000000000000004],  [0.000035000000000000004]], shape=[2, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2 }) }
cc 715ae11e0a0a2bb93ee987bcecee565fbe35728e8ab8b4a2fbe47e2a8a01597d # shrinks to mut constellation = Constellation { arena: [StarNode { star: Star { representation: Affine { basis: [[1.0]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, shift: [0.0], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1 }, constraints: Some(Polytope { halfspaces: Inequality { coeffs: [[-1.0],  [1.0]], shape=[2, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, rhs: [9.578231662821988, 5.839045955118543], shape=[2], strides=[1], layout=CFcf (0xf), const ndim=1 } }) }, dnn_index: DNNIndex { layer: None, remaining_steps: None }, star_cdf: None, local_bounds: None, output_bounds: None, is_feasible: true }], node_type: [None], loc: [-1.8695928538517226], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1, scale: [[2.2024682311343615]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, dnn: DNN { layers: [Dense(Affine { basis: [[-0.9726774478820666]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, shift: [7.744576160500639], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1 }), ReLU(1), Dense(Affine { basis: [[0.5930827258190661]], shape=[1, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2, shift: [-8.61866179735249], shape=[1], strides=[1], layout=CFcf (0xf), const ndim=1 }), ReLU(1)] }, input_bounds: Some(Bounds { data: [[-9.578231662821988],  [5.839045955118543]], shape=[2, 1], strides=[1, 1], layout=CFcf (0xf), const ndim=2 }) }