mirror of
https://github.com/LmeSzinc/StarRailCopilot.git
synced 2024-12-18 01:11:16 +00:00
200 lines
4.8 KiB
Python
200 lines
4.8 KiB
Python
import operator
|
|
|
|
import numpy as np
|
|
|
|
|
|
class SelectedGrids:
|
|
def __init__(self, grids):
|
|
self.grids = grids
|
|
|
|
def __iter__(self):
|
|
return iter(self.grids)
|
|
|
|
def __getitem__(self, item):
|
|
if isinstance(item, int):
|
|
return self.grids[item]
|
|
else:
|
|
return SelectedGrids(self.grids[item])
|
|
|
|
def __contains__(self, item):
|
|
return item in self.grids
|
|
|
|
def __str__(self):
|
|
# return str([str(grid) for grid in self])
|
|
return '[' + ', ' .join([str(grid) for grid in self]) + ']'
|
|
|
|
def __len__(self):
|
|
return len(self.grids)
|
|
|
|
def __bool__(self):
|
|
return self.count > 0
|
|
|
|
# def __getattr__(self, item):
|
|
# return [grid.__getattribute__(item) for grid in self.grids]
|
|
|
|
@property
|
|
def location(self):
|
|
"""
|
|
Returns:
|
|
list[tuple]:
|
|
"""
|
|
return [grid.location for grid in self.grids]
|
|
|
|
@property
|
|
def cost(self):
|
|
"""
|
|
Returns:
|
|
list[int]:
|
|
"""
|
|
return [grid.cost for grid in self.grids]
|
|
|
|
@property
|
|
def weight(self):
|
|
"""
|
|
Returns:
|
|
list[int]:
|
|
"""
|
|
return [grid.weight for grid in self.grids]
|
|
|
|
@property
|
|
def count(self):
|
|
"""
|
|
Returns:
|
|
int:
|
|
"""
|
|
return len(self.grids)
|
|
|
|
def select(self, **kwargs):
|
|
"""
|
|
Args:
|
|
**kwargs: Attributes of Grid.
|
|
|
|
Returns:
|
|
SelectedGrids:
|
|
"""
|
|
result = []
|
|
for grid in self:
|
|
flag = True
|
|
for k, v in kwargs.items():
|
|
grid_v = grid.__getattribute__(k)
|
|
if type(grid_v) != type(v) or grid_v != v:
|
|
flag = False
|
|
if flag:
|
|
result.append(grid)
|
|
|
|
return SelectedGrids(result)
|
|
|
|
def add(self, grids):
|
|
"""
|
|
Args:
|
|
grids(SelectedGrids):
|
|
|
|
Returns:
|
|
SelectedGrids:
|
|
"""
|
|
return SelectedGrids(list(set(self.grids + grids.grids)))
|
|
|
|
def delete(self, grids):
|
|
"""
|
|
Args:
|
|
grids(SelectedGrids):
|
|
|
|
Returns:
|
|
SelectedGrids:
|
|
"""
|
|
g = [grid for grid in self.grids if grid not in grids]
|
|
return SelectedGrids(g)
|
|
|
|
def sort(self, cost=True, weight=True):
|
|
"""
|
|
|
|
Args:
|
|
cost (bool):
|
|
weight (bool):
|
|
|
|
Returns:
|
|
|
|
"""
|
|
attr = []
|
|
if weight:
|
|
attr.append('weight')
|
|
if cost:
|
|
attr.append('cost')
|
|
if len(attr):
|
|
grids = sorted(self.grids, key=operator.attrgetter(*attr))
|
|
return SelectedGrids(grids)
|
|
else:
|
|
return self
|
|
|
|
def sort_by_camera_distance(self, camera):
|
|
"""
|
|
Args:
|
|
camera (tuple):
|
|
|
|
Returns:
|
|
SelectedGrids:
|
|
"""
|
|
location = np.array(self.location)
|
|
diff = np.sum(np.abs(np.array(location) - camera), axis=1)
|
|
# grids = [x for _, x in sorted(zip(diff, self.grids))]
|
|
grids = tuple(np.array(self.grids)[np.argsort(diff)])
|
|
return SelectedGrids(grids)
|
|
|
|
|
|
class RoadGrids:
|
|
def __init__(self, grids):
|
|
"""
|
|
Args:
|
|
grids (list):
|
|
"""
|
|
self.grids = []
|
|
for grid in grids:
|
|
if isinstance(grid, list):
|
|
self.grids.append(SelectedGrids(grids=grid))
|
|
else:
|
|
self.grids.append(SelectedGrids(grids=[grid]))
|
|
|
|
def __str__(self):
|
|
return str(' - '.join([str(grid) for grid in self.grids]))
|
|
|
|
def roadblocks(self):
|
|
"""
|
|
Returns:
|
|
SelectedGrids:
|
|
"""
|
|
grids = []
|
|
for block in self.grids:
|
|
if block.count == block.select(is_enemy=True).count:
|
|
grids += block.grids
|
|
return SelectedGrids(grids)
|
|
|
|
def potential_roadblocks(self):
|
|
"""
|
|
Returns:
|
|
SelectedGrids:
|
|
"""
|
|
grids = []
|
|
for block in self.grids:
|
|
if np.any([grid.is_fleet for grid in block]):
|
|
continue
|
|
if np.any([grid.is_cleared for grid in block]):
|
|
continue
|
|
if block.count - block.select(is_enemy=True).count == 1:
|
|
grids += block.select(is_enemy=True).grids
|
|
return SelectedGrids(grids)
|
|
|
|
def first_roadblock(self):
|
|
"""
|
|
Returns:
|
|
SelectedGrids:
|
|
"""
|
|
grids = []
|
|
for block in self.grids:
|
|
if np.any([grid.is_fleet for grid in block]):
|
|
continue
|
|
if np.any([grid.is_cleared for grid in block]):
|
|
continue
|
|
if block.select(is_enemy=True).count == 1:
|
|
grids += block.select(is_enemy=True).grids
|
|
return SelectedGrids(grids)
|