mirror of
https://github.com/LmeSzinc/StarRailCopilot.git
synced 2024-11-27 10:36:23 +00:00
59756c4f2c
- 每个索敌函数都支持了条件筛选, 打BOSS除外 - 7-2会打更多的大型 - 去除了挂委托时多次的重置列表操作 - 修复了没有伏击时还是按照有伏击寻路的问题 - 优化了寻路距离的log显示
199 lines
4.7 KiB
Python
199 lines
4.7 KiB
Python
import operator
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import numpy as np
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class SelectedGrids:
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def __init__(self, grids):
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self.grids = grids
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def __iter__(self):
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return iter(self.grids)
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def __getitem__(self, item):
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if isinstance(item, int):
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return self.grids[item]
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else:
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return SelectedGrids(self.grids[item])
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def __contains__(self, item):
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return item in self.grids
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def __str__(self):
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# return str([str(grid) for grid in self])
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return '[' + ', ' .join([str(grid) for grid in self]) + ']'
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def __len__(self):
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return len(self.grids)
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def __bool__(self):
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return self.count > 0
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# def __getattr__(self, item):
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# return [grid.__getattribute__(item) for grid in self.grids]
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@property
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def location(self):
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"""
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Returns:
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list[tuple]:
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"""
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return [grid.location for grid in self.grids]
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@property
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def cost(self):
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"""
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Returns:
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list[int]:
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"""
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return [grid.cost for grid in self.grids]
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@property
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def weight(self):
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"""
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Returns:
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list[int]:
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"""
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return [grid.weight for grid in self.grids]
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@property
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def count(self):
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"""
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Returns:
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int:
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"""
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return len(self.grids)
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def select(self, **kwargs):
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"""
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Args:
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**kwargs: Attributes of Grid.
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Returns:
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SelectedGrids:
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"""
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result = []
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for grid in self:
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flag = True
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for k, v in kwargs.items():
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if grid.__getattribute__(k) != v:
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flag = False
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if flag:
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result.append(grid)
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return SelectedGrids(result)
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def add(self, grids):
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"""
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Args:
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grids(SelectedGrids):
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Returns:
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SelectedGrids:
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"""
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return SelectedGrids(self.grids + grids.grids)
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def delete(self, grids):
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"""
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Args:
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grids(SelectedGrids):
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Returns:
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SelectedGrids:
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"""
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g = [grid for grid in self.grids if grid not in grids]
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return SelectedGrids(g)
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def sort(self, cost=True, weight=True):
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"""
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Args:
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cost (bool):
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weight (bool):
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Returns:
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"""
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attr = []
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if weight:
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attr.append('weight')
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if cost:
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attr.append('cost')
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if len(attr):
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grids = sorted(self.grids, key=operator.attrgetter(*attr))
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return SelectedGrids(grids)
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else:
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return self
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def sort_by_camera_distance(self, camera):
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"""
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Args:
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camera (tuple):
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Returns:
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SelectedGrids:
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"""
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location = np.array(self.location)
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diff = np.sum(np.abs(np.array(location) - camera), axis=1)
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# grids = [x for _, x in sorted(zip(diff, self.grids))]
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grids = tuple(np.array(self.grids)[np.argsort(diff)])
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return SelectedGrids(grids)
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class RoadGrids:
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def __init__(self, grids):
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"""
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Args:
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grids (list):
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"""
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self.grids = []
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for grid in grids:
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if isinstance(grid, list):
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self.grids.append(SelectedGrids(grids=grid))
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else:
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self.grids.append(SelectedGrids(grids=[grid]))
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def __str__(self):
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return str(' - '.join([str(grid) for grid in self.grids]))
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def roadblocks(self):
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"""
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Returns:
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SelectedGrids:
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"""
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grids = []
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for block in self.grids:
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if block.count == block.select(is_enemy=True).count:
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grids += block.grids
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return SelectedGrids(grids)
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def potential_roadblocks(self):
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"""
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Returns:
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SelectedGrids:
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"""
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grids = []
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for block in self.grids:
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if np.any([grid.is_fleet for grid in block]):
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continue
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if np.any([grid.is_cleared for grid in block]):
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continue
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if block.count - block.select(is_enemy=True).count == 1:
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grids += block.select(is_enemy=True).grids
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return SelectedGrids(grids)
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def first_roadblock(self):
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"""
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Returns:
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SelectedGrids:
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"""
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grids = []
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for block in self.grids:
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if np.any([grid.is_fleet for grid in block]):
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continue
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if np.any([grid.is_cleared for grid in block]):
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continue
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if block.select(is_enemy=True).count == 1:
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grids += block.select(is_enemy=True).grids
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return SelectedGrids(grids)
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