Add weay to access a copy of the data from a ScanPlanner
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2 changed files with 50 additions and 21 deletions
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@ -8,6 +8,7 @@ subclassing the ScanPlanner
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from typing import TypeAlias, Optional
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import logging
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from copy import copy
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import numpy as np
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@ -101,6 +102,34 @@ class ScanPlanner:
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"""
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return not self._remaining_locations
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@property
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def remaining_locations(self) -> XYPosList:
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"""
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Property to access a copy of the remaining_locations
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"""
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return copy(self._remaining_locations)
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@property
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def imaged_locations(self) -> XYZPosList:
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"""
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Property to access a copy of the imaged_locations
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"""
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return copy(self._imaged_locations)
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@property
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def focused_locations(self) -> XYZPosList:
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"""
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Property to access a copy of the focused_locations
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"""
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return copy(self._focused_locations)
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@property
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def path_history(self) -> XYPosList:
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"""
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Property to access a copy of the path_history
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"""
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return copy(self._path_history)
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def _parse(self, planner_settings: Optional[dict] = None) -> None:
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"""
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Parse any settings sent to this planner and store them if needed.
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@ -167,7 +196,7 @@ class ScanPlanner:
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# must be float64 (double precision) to deal with the huge numbers involved!
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current_pos = np.array(xy_pos, dtype="float64")
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path_pos = np.asarray(self._focused_locations, dtype="float64")[:, :2]
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path_pos = np.array(self._focused_locations, dtype="float64")[:, :2]
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# Use linalg.norm to calculate the direct distance bweween the points
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# Note linalg.norm always used float64
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