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Objects for scan locations allowing more sophisitcated tracking.

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This commit updates the scan planners to allow more sophisticated
tracking of past positions. Currently it still checks that
the algorithm is unchanged from past behaviour.
This commit is contained in:
Julian Stirling 2025-10-19 19:55:36 +01:00
parent 3d3ca9ebcf
commit 39a04df5be
3 changed files with 191 additions and 79 deletions
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6
tests/utilities/scan_test_helpers.py
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@ -60,8 +60,8 @@ def visualise_scan(sample: FakeSample, planner: scan_planners.ScanPlanner) -> Fi
"""For a given sample and scanner object return a matplotlib figure of the scan."""
fig, ax = plt.subplots(figsize=(8, 8))
ax.add_artist(sample.patch)
xh, yh = zip(*planner._path_history, strict=True)
xi, yi, _ = zip(*planner._imaged_locations, strict=True)
xh, yh = zip(*planner.path_history, strict=True)
xi, yi, _zi = zip(*planner.imaged_locations, strict=True)
# convert history to numpy array so can calculate quiver arrows
xh = np.array(xh)
@ -99,7 +99,7 @@ def interp_closed_path(xy_points: list[tuple[int, int]], n_points: int) -> MatPa
# fit splines to x=f(u) and y=g(u), treating both as periodic. also note that s=0
# is needed in order to force the spline fit to pass through all the input points.
spline_data, _ = interpolate.splprep([x, y], s=0, per=True)
spline_data, *_extra = interpolate.splprep([x, y], s=0, per=True)
# evaluate the spline
xi, yi = interpolate.splev(np.linspace(0, 1, n_points), spline_data)