Add tests for checking stack result
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2 changed files with 165 additions and 2 deletions
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@ -845,7 +845,7 @@ class AutofocusThing(lt.Thing):
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# edge of the stack.
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if turning < edge_size - 0.5 or sharpest_index < edge_size:
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return "restart", capture_id
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if turning > n_imgs - (edge_size - 0.5) or sharpest_index >= n_imgs - edge_size:
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if turning > n_imgs - edge_size - 0.5 or sharpest_index >= n_imgs - edge_size:
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return "continue", capture_id
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if check_turning_points:
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@ -886,7 +886,8 @@ def _get_peak_turning_point(sharpnesses: np.ndarray) -> float:
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ci_high = a + 2 * sigma_a
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# If the high 95% confindence interval of the peak is not negative then the
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# fit isn't sure if this is a peak or a U shape, so we continue.
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if ci_high >= 0:
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# -1e-9 is used to guard against weird effects for flat and straight data
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if ci_high > -1e-9:
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raise NotAPeakError("Not a peak to within 95% confidence.")
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return turning
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