def activate(self):
"..."
super(MapPredictionTest, self).activate()
self.__create_layers__()
self.action.setChecked(True)
Globs.log.info("Map Prediction Test Activated")
items = []
items.append("Same Driving Direction")
items.append("All Routable Lanes")
items.append("All Neighbor Lanes")
items.append("Undefined")
widget = QWidget()
tf = False
self.mode, tf = QInputDialog.getItem(
widget,
"Select Route Creation Mode for Prediction Test ",
"Options for creating Route: ", items, 0,
False)
self.length, tf = QInputDialog.getDouble(
widget,
"Enter length for Prediction Test ",
"Length: ", 150.0, False)
self.duration, tf = QInputDialog.getDouble(
widget, "Enter duration for Prediction Test ",
"Duration: ", 10.0, False)
def ask_user(self):
# Ask the user for a factor by which to multiply all font sizes
factor, ok = QInputDialog.getDouble(
self.gui, 'Enter a magnification factor', 'Allow font sizes in the book will be multiplied by the specified factor',
value=2, min=0.1, max=4
)
if ok:
# Ensure any in progress editing the user is doing is present in the container
self.boss.commit_all_editors_to_container()
try:
self.magnify_fonts(factor)
except Exception:
# Something bad happened report the error to the user
import traceback
error_dialog(self.gui, _('Failed to magnify fonts'), _(
'Failed to magnify fonts, click "Show details" for more info'),
det_msg=traceback.format_exc(), show=True)
# Revert to the saved restore point
self.boss.revert_requested(self.boss.global_undo.previous_container)
else:
# Show the user what changes we have made, allowing her to
# revert them if necessary
self.boss.show_current_diff()
# Update the editor UI to take into account all the changes we
# have made
self.boss.apply_container_update_to_gui()
def ask_user(self):
# Ask the user for a factor by which to multiply all font sizes
factor, ok = QInputDialog.getDouble(
self.gui,
'Enter a magnification factor',
'Allow font sizes in the book will be multiplied by the specified factor',
value=2,
min=0.1,
max=4)
if ok:
# Ensure any in progress editing the user is doing is present in the container
self.boss.commit_all_editors_to_container()
try:
self.magnify_fonts(factor)
except Exception:
# Something bad happened report the error to the user
import traceback
error_dialog(
self.gui,
_('Failed to magnify fonts'),
_('Failed to magnify fonts, click "Show details" for more info'
),
det_msg=traceback.format_exc(),
show=True)
# Revert to the saved restore point
self.boss.revert_requested(
self.boss.global_undo.previous_container)
else:
# Show the user what changes we have made, allowing her to
# revert them if necessary
self.boss.show_current_diff()
# Update the editor UI to take into account all the changes we
# have made
self.boss.apply_container_update_to_gui()
def oilify_image(self):
val, ok = QInputDialog.getDouble(
self,
_('Oilify image'),
_('The strength of the operation (higher numbers have larger effects)'
),
value=4,
min=0.1,
max=20)
if ok:
self.canvas.oilify_image(radius=val)
def init_logic(self):
logger.info(f"初始化逻辑数据")
self.loop_index = 1
self.invalid_cell_count = 0
# 先手为蓝
self.step_cell = cell_blue
# ai托管，默认不托管
self.ai_cells = {}
self.ai_to_avg_stat = {} # type: Dict[int, AvgStat]
self.ai_moving = False
self.game_start_time = datetime.now()
self.game_restarted = False
self.ai_dfs_max_depth = 4
self.ai_min_decision_seconds = 0.5
self.ai_max_decision_time = timedelta(seconds=26)
blue_set_ai = True
red_set_ai = True
self.ai_dfs_max_depth, _ = QInputDialog.getInt(self, "ai参数设置", f"ai最大搜索层数（越大越强，速度越慢，默认为{self.ai_dfs_max_depth}）", self.ai_dfs_max_depth)
self.ai_min_decision_seconds, _ = QInputDialog.getDouble(self, "ai参数设置", f"ai每步最小等待时间（秒）（太小可能会看不清手动方的落子位置-。-）", self.ai_min_decision_seconds)
ai_max_decision_time, _ = QInputDialog.getDouble(self, "ai参数设置", f"ai每步最大等待时间（秒）（避免超出30秒）", self.ai_max_decision_time.total_seconds())
self.ai_max_decision_time = timedelta(seconds=ai_max_decision_time)
blue_set_ai = QMessageBox.question(self, "AI配置", "蓝方是否启用AI？") == QMessageBox.Yes
red_set_ai = QMessageBox.question(self, "AI配置", "红方是否启用AI？") == QMessageBox.Yes
if blue_set_ai:
self.set_ai(cell_blue, self.ai_min_max)
if red_set_ai:
self.set_ai(cell_red, self.ai_min_max)
logger.info(f"ai最大迭代次数为{self.ai_dfs_max_depth}，每次操作至少{self.ai_min_decision_seconds}秒，最大等待时间为{self.ai_max_decision_time}秒")
self.last_step = (1, 1)
self.init_board_without_invalid_cells()
def oilify_image(self):
val, ok = QInputDialog.getDouble(self, _('Oilify image'), _(
'The strength of the operation (higher numbers have larger effects)'), value=4, min=0.1, max=20)
if ok:
self.canvas.oilify_image(radius=val)
