More tests with variety of dot ideas
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@ -3,7 +3,7 @@ import numpy
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import numpy.typing
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from typing import Sequence, List, Tuple
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from pathfinder.model.oscillating.dot import DotMeasurement
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# import pathfinder.model.oscillating.util
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DotInput = Tuple[numpy.typing.ArrayLike, float]
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@ -16,4 +16,4 @@ def flip_chunk_to_positive_px(pt: numpy.ndarray) -> numpy.ndarray:
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def normalize_oscillating_dipole_list(pts: numpy.ndarray) -> numpy.ndarray:
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pt_length = 7
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chunked_pts = [flip_chunk_to_positive_px(pts[i: i + pt_length]) for i in range(0, len(pts), pt_length)]
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return numpy.concatenate(sorted(chunked_pts, key=operator.itemgetter(0, 1, 2, 3, 4, 5, 6)), axis=None)
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return numpy.concatenate(sorted(chunked_pts, key=lambda x: tuple(round(val, 3) for val in operator.itemgetter(0, 1, 2, 3, 4, 5, 6)(x))), axis=None)
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@ -62,3 +62,48 @@ def test_two_dipole_six_dot_two_frequencies():
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print_result("two oscillating dipole six dots", res)
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assert res.success, "The solution for two dipole and six dots should have succeeded."
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numpy.testing.assert_allclose(res.pathfinder_x, expected_result, err_msg="Dipole wasn't as expected.", rtol=1e-6, atol=1e-6)
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def test_two_dipole_six_dot_two_frequencies_morerealistic():
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# setup
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dot_inputs = [
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([0, 0, .01], 5), ([-1, 0, -.01], 5), ([-2, 0, -.01], 5), ([-3, 0, 0], 5), ([0, -1, .01], 5), ([-1, -1, 0], 5), ([-2, -1, 0], 5), ([-3, -1, 0], 5),
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([0, -2, .01], 5), ([-1, -2, -.01], 5), ([-2, -2, -.01], 5), ([-3, -2, 0], 5), ([0, -3, .01], 5), ([-1, -3, 0], 5), ([-2, -3, 0], 5), ([-3, -3, 0], 5),
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([0, 0, .01], 1), ([-1, 0, -.01], 1), ([-2, 0, -.01], 1), ([-3, 0, 0], 1), ([0, -1, .01], 1), ([-1, -1, 0], 1), ([-2, -1, 0], 1), ([-3, -1, 0], 1),
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([0, -2, .01], 1), ([-1, -2, -.01], 1), ([-2, -2, -.01], 1), ([-3, -2, 0], 1), ([0, -3, .01], 1), ([-1, -3, 0], 1), ([-2, -3, 0], 1), ([-3, -3, 0], 1),
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]
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dipole = pathfinder.model.oscillating.OscillatingDipole([1, 2, 3], [0, 4, -1], 7)
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dipole2 = pathfinder.model.oscillating.OscillatingDipole([-1, 2, 0], [-1, 2, 1], 4)
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expected_result = numpy.array([1, -2, 0, -1, 2, 1, 4, 1, 2, 3, 0, 4, -1, 7])
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dipole_arrangement = pathfinder.model.oscillating.OscillatingDipoleArrangement([dipole, dipole2])
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dot_measurements = dipole_arrangement.get_dot_measurements(dot_inputs)
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model = pathfinder.model.oscillating.DotOscillatingDipoleModel(dot_measurements, 2)
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res = model.sol()
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print_result("two oscillating dipole six dots", res)
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numpy.testing.assert_allclose(res.pathfinder_x, expected_result, err_msg="Dipole wasn't as expected.", rtol=1e-6, atol=1e-6)
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def test_two_dipole_eighteen_dot_two_frequencies_morerealistic():
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# setup
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dot_inputs = [
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([0, 0, .01], 5), ([-1, 0, -.01], 5), ([-2, 0, -.01], 5), ([0, -1, .01], 5), ([-1, -1, 0], 5), ([-2, -1, 0], 5),
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([0, -2, .01], 5), ([-1, -2, -.01], 5), ([-2, -2, -.01], 5), ([0, -3, .01], 5), ([-1, -3, 0], 5), ([-2, -3, 0], 5),
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([0, -4, .01], 5), ([-1, -4, -.01], 5), ([-2, -4, -.01], 5), ([0, -5, .01], 5), ([-1, -5, 0], 5), ([-2, -5, 0], 5),
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([0, 0, .01], 1), ([-1, 0, -.01], 1), ([-2, 0, -.01], 1), ([0, -1, .01], 1), ([-1, -1, 0], 1), ([-2, -1, 0], 1),
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([0, -2, .01], 1), ([-1, -2, -.01], 1), ([-2, -2, -.01], 1), ([0, -3, .01], 1), ([-1, -3, 0], 1), ([-2, -3, 0], 1),
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([0, -4, .01], 1), ([-1, -4, -.01], 1), ([-2, -4, -.01], 1), ([0, -5, .01], 1), ([-1, -5, 0], 1), ([-2, -5, 0], 1),
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]
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dipole = pathfinder.model.oscillating.OscillatingDipole([1, 2, 3], [0, 4, -1], 7)
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dipole2 = pathfinder.model.oscillating.OscillatingDipole([-1, 2, 0], [-1, 2, 1], 4)
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expected_result = numpy.array([1, -2, 0, -1, 2, 1, 4, 1, 2, 3, 0, 4, -1, 7])
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dipole_arrangement = pathfinder.model.oscillating.OscillatingDipoleArrangement([dipole, dipole2])
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dot_measurements = dipole_arrangement.get_dot_measurements(dot_inputs)
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model = pathfinder.model.oscillating.DotOscillatingDipoleModel(dot_measurements, 2)
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res = model.sol()
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print_result("two oscillating dipole six dots", res)
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assert res.success, "The solution for two dipole and six dots should have succeeded."
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numpy.testing.assert_allclose(res.pathfinder_x, expected_result, err_msg="Dipole wasn't as expected.", rtol=1e-6, atol=1e-6)
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