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Add flake8 bugbear checks

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This commit is contained in:
Julian Stirling 2025-08-12 13:09:43 +01:00
parent 7ea92ad55f
commit 6142a267db
11 changed files with 40 additions and 30 deletions
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8
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)
xi, yi, _ = zip(*planner._imaged_locations)
xh, yh = zip(*planner._path_history, strict=True)
xi, yi, _ = zip(*planner._imaged_locations, strict=True)
# convert history to numpy array so can calculate quiver arrows
xh = np.array(xh)
@ -91,7 +91,7 @@ def interp_closed_path(xy_points: list[tuple[int, int]], n_points: int) -> MatPa
https://stackoverflow.com/questions/33962717/interpolating-a-closed-curve-using-scipy
"""
# Use zip to separate x and y points into tuples
x, y = zip(*xy_points)
x, y = zip(*xy_points, strict=True)
# Append first point and convert to array
x = np.array(x + (x[0],))
@ -105,7 +105,7 @@ def interp_closed_path(xy_points: list[tuple[int, int]], n_points: int) -> MatPa
xi, yi = interpolate.splev(np.linspace(0, 1, n_points), spline_data)
# Convert to a matplotlib closed path
path_points = [[xp, yp] for xp, yp in (zip(xi, yi))]
path_points = [[xp, yp] for xp, yp in (zip(xi, yi, strict=True))]
return MatPath(path_points, closed=True)