def test_calculate_output_matrix(self):
analysis = NetworkAnalysis({
"input_times": [[0.0, 0.0], [0.0], [0.0, 0.0, 0.0]],
"input_indices": [[0, 1], [2], [3, 4, 5]],
"output_times": [[0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0],
[0.0, 0.0, 0.0]],
"output_indices": [[0, 1, 1, 2], [0, 3, 2], [4, 4], [0, 1, 5]],
"data_params": {
"n_bits_in": 3,
"n_bits_out": 4,
"n_ones_in": 1,
"n_ones_out": 1,
"n_samples": 6
}
})
mat_out = analysis.calculate_output_matrix(
output_params={"burst_size": 2})
np.testing.assert_almost_equal(
[[0.5, 0.5, 0., 0.5], [1., 0., 0., 0.5], [0.5, 0.5, 0., 0.],
[0., 0.5, 0., 0.], [0., 0., 1., 0.], [0., 0., 0., 0.5]], mat_out)
analysis["topology_params"] = TopologyParameters({"multiplicity": 2})
analysis["data_params"]["n_bits_out"] = 2
mat_out = analysis.calculate_output_matrix(
output_params={"burst_size": 2})
np.testing.assert_almost_equal([[0.5, 0.25], [0.5, 0.25], [0.5, 0.],
[0.25, 0.], [0., 0.5], [0., 0.25]],
mat_out)
def test_calculate_latency(self):
analysis = NetworkAnalysis({
"input_times": [[1.0, 2.0], [3.0], [4.0, 5.0, 6.0]],
"input_indices": [[0, 1], [2], [3, 4, 5]],
"output_times": [[1.75, 2.5], [4.5, 4.75], [5.1, 5.2, 6.3], [6.4]],
"output_indices": [[0, 1], [3, 3], [4, 4, 5], [5]],
"data_params": {
"n_bits_in": 3,
"n_bits_out": 4,
"n_ones_in": 1,
"n_ones_out": 1,
"n_samples": 6
}
})
latency = analysis.calculate_latencies()
latency[latency == np.inf] = -1 # almost_equal and inf is buggy
np.testing.assert_almost_equal([0.75, 0.5, -1, 0.75, 0.2, 0.4], latency)
def test_calculate_latency(self):
analysis = NetworkAnalysis({
"input_times": [[1.0, 2.0], [3.0], [4.0, 5.0, 6.0]],
"input_indices": [[0, 1], [2], [3, 4, 5]],
"output_times": [[1.75, 2.5], [4.5, 4.75], [5.1, 5.2, 6.3], [6.4]],
"output_indices": [[0, 1], [3, 3], [4, 4, 5], [5]],
"data_params": {
"n_bits_in": 3,
"n_bits_out": 4,
"n_ones_in": 1,
"n_ones_out": 1,
"n_samples": 6
}
})
latency = analysis.calculate_latencies()
latency[latency == np.inf] = -1 # almost_equal and inf is buggy
np.testing.assert_almost_equal([0.75, 0.5, -1, 0.75, 0.2, 0.4],
latency)
def test_calculate_output_matrix(self):
analysis = NetworkAnalysis({
"input_times": [[0.0, 0.0], [0.0], [0.0, 0.0, 0.0]],
"input_indices": [[0, 1], [2], [3, 4, 5]],
"output_times": [[0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0],
[0.0, 0.0, 0.0]],
"output_indices": [[0, 1, 1, 2], [0, 3, 2], [4, 4], [0, 1, 5]],
"data_params": {
"n_bits_in": 3,
"n_bits_out": 4,
"n_ones_in": 1,
"n_ones_out": 1,
"n_samples": 6
}
})
mat_out = analysis.calculate_output_matrix(
output_params={"burst_size": 2})
np.testing.assert_almost_equal([
[ 0.5, 0.5, 0., 0.5],
[ 1., 0., 0., 0.5],
[ 0.5, 0.5, 0., 0. ],
[ 0., 0.5, 0., 0. ],
[ 0., 0., 1., 0. ],
[ 0., 0., 0., 0.5]], mat_out)
analysis["topology_params"] = TopologyParameters({
"multiplicity": 2
})
analysis["data_params"]["n_bits_out"] = 2
mat_out = analysis.calculate_output_matrix(
output_params={"burst_size": 2})
np.testing.assert_almost_equal([
[ 0.5, 0.25],
[ 0.5, 0.25],
[ 0.5, 0.],
[ 0.25, 0.],
[ 0., 0.5],
[ 0., 0.25]], mat_out)
