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This commit is contained in:
Sgr A* VMT
2024-02-01 04:07:20 +08:00
parent 40ea0e117f
commit 138e773ef8
1 changed files with 17 additions and 7 deletions
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idm.py
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@@ -1441,6 +1441,7 @@ class IDMMeshHelper:
"'relative_reference_index' options are specified. The" "'relative_reference_index' options are specified. The"
" former will be used") " former will be used")
self.faulty_region_= []
self.faulty_regions = [] self.faulty_regions = []
for i in list(range(1, 100, 1)): for i in list(range(1, 100, 1)):
start = mesh_config.getfloatlist("faulty_region_%d_min" % (i,), None, start = mesh_config.getfloatlist("faulty_region_%d_min" % (i,), None,
@@ -1453,7 +1454,8 @@ class IDMMeshHelper:
y_min = min(start[1], end[1]) y_min = min(start[1], end[1])
y_max = max(start[1], end[1]) y_max = max(start[1], end[1])
self.faulty_regions.append(Region(x_min, x_max, y_min, y_max)) self.faulty_regions.append(Region(x_min, x_max, y_min, y_max))
self.faulty_region_.append([x_min, y_min, x_max, y_max])
self.faulty_region_ = np.array(self.faulty_region_).T
self.exclude_object = None self.exclude_object = None
self.idm.printer.register_event_handler( self.idm.printer.register_event_handler(
"klippy:connect", self._handle_connect "klippy:connect", self._handle_connect
@@ -1835,11 +1837,19 @@ class IDMMeshHelper:
faulty_indexes = [] faulty_indexes = []
position = np.array(list(clusters.keys())) position = np.array(list(clusters.keys()))
(xi_max,yi_max) = position.T.max(axis = 1) (xi_max,yi_max) = position.T.max(axis = 1)
pos_temp = (position.T*[[self.step_x],[self.step_y]]+[[self.min_x],[self.min_y]]).T pos_temp = (position.T*[[self.step_x],[self.step_y]]+[[self.min_x],[self.min_y]])
for i in range(len(pos_temp)): if len(self.faulty_region_.shape) > 1:
if self._is_faulty_coordinate(pos_temp[i][0], pos_temp[i][1]): length=self.faulty_region_.shape[1]
clusters[tuple(position[i])] = None flag = np.array(
faulty_indexes.append(tuple(position[i])) [
(pos_temp > self.faulty_region_[:2].reshape(1,2,length).T).T.all(axis=1),
(pos_temp < self.faulty_region_[2:].reshape(1,2,length).T).T.all(axis=1)
]
).all(axis = 0).any(axis = 1)
for i in range(len(flag)):
if(flag[i]):
clusters[tuple(position[i])] = None
faulty_indexes.append(tuple(position[i]))
del pos_temp del pos_temp
def get_nearest(start, dx, dy): def get_nearest(start, dx, dy):