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Spelling corrections and docstring improvements

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Co-authored by Joe Knapper <jaknapper@hotmail.com>
This commit is contained in:
Julian Stirling 2025-04-14 15:46:27 +00:00
parent bd411db5ea
commit 06632f195e
5 changed files with 33 additions and 29 deletions
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6
tests/utilities/scan_test_helpers.py
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@ -31,7 +31,7 @@ class FakeSample:
Return whether an image at a given location with a given image size
is on the sample
This doesn't check the entire image feild as this is designed to be used
This doesn't check the entire image field as this is designed to be used
where the fake sample is much larger than the image and has smooth edges
It just checks the 4 corners
"""
@ -48,7 +48,7 @@ class FakeSample:
@property
def patch(self) -> PathPatch:
"""
The sample as a matplotlib patch fro plotting
The sample as a matplotlib patch for plotting
"""
patch = PathPatch(self._sample_perimeter)
patch.set(color=(1.0, 0.8, 1.0, 1.0))
@ -86,7 +86,7 @@ def visualise_scan(sample: FakeSample, planner: scan_planners.ScanPlanner) -> Fi
def interp_closed_path(xy_points: list[tuple[int, int]], n_points: int) -> MatPath:
"""
Given a lists of xy_points interpolate an n_point closed curve. This can be used
to creat an arbitrary sample shape plan a scan.
to create an arbitrary sample shape plan a scan.
Modified from:
https://stackoverflow.com/questions/33962717/interpolating-a-closed-curve-using-scipy