Update select_nearby_focus_site to use moves between
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9e477a26d8
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1 changed files with 20 additions and 17 deletions
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@ -197,7 +197,12 @@ class ScanPlanner:
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return [loc.xyz_tuple for loc in self._path_history if loc.imaged]
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@property
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def focused_locations(self) -> XYZPosList:
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def focused_locations(self) -> list[VisitedScanLocation]:
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"""Property to access a copy of the focused_locations."""
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return [loc for loc in self._path_history if loc.focused]
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@property
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def focused_locations_xyz(self) -> XYZPosList:
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"""Property to access a copy of the focused_locations."""
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return [loc.xyz_tuple for loc in self._path_history if loc.focused]
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@ -331,8 +336,8 @@ class RectGridPlanner(ScanPlanner):
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def moves_between(
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self,
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starting_pos: XYPos | np.ndarray | FutureScanLocation,
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ending_pos: XYPos | np.ndarray | FutureScanLocation,
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starting_pos: XYPos | np.ndarray | FutureScanLocation | VisitedScanLocation,
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ending_pos: XYPos | np.ndarray | FutureScanLocation | VisitedScanLocation,
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) -> float:
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"""Return the larger of x moves or y moves between two xy positions.
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@ -340,9 +345,9 @@ class RectGridPlanner(ScanPlanner):
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:param ending_pos: the position to measure to
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"""
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if isinstance(starting_pos, FutureScanLocation):
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if isinstance(starting_pos, (FutureScanLocation, VisitedScanLocation)):
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starting_pos = starting_pos.xy_tuple
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if isinstance(ending_pos, FutureScanLocation):
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if isinstance(ending_pos, (FutureScanLocation, VisitedScanLocation)):
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ending_pos = ending_pos.xy_tuple
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move_size = np.array([self._dx, self._dy])
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@ -378,20 +383,18 @@ class RectGridPlanner(ScanPlanner):
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if not focused_locations:
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return None
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next_pos_arr = np.array(next_position, dtype="float64")
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path_arr = np.array(focused_locations, dtype="float64")[:, :2]
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def sort_key(pos: VisitedScanLocation) -> float:
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return self.moves_between(next_position, pos)
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# Find all focused positions within dx and dy of next_position.
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# Don't just use _adjacent_positions as some grids might have intermediate sites.
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dx_ok = np.abs(path_arr[:, 0] - next_pos_arr[0]) <= self._dx
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dy_ok = np.abs(path_arr[:, 1] - next_pos_arr[1]) <= self._dy
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nearby_indices = np.where(dx_ok & dy_ok)[0]
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if len(nearby_indices) == 0:
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return None
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# Sort by negative number of moves between so smallest moves are at the end.
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# The most recent once should be the last point of multiple have the same
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# number of moves.
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nearby_focus_locations = sorted(
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focused_locations, key=lambda p: -self.moves_between(next_position, p)
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)
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# Pick the most recent nearby site
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return focused_locations[nearby_indices[-1]]
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return nearby_focus_locations[-1].xyz_tuple
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class SmartSpiral(RectGridPlanner):
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@ -568,7 +571,7 @@ class SmartSpiral(RectGridPlanner):
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Returns None if no focused locations are present
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"""
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# save to variable rather than search for focussed sites each time.
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focused_locations = self.focused_locations
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focused_locations = self.focused_locations_xyz
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if not focused_locations:
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return None
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