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A/3/low_bound_cal.py

@@ -2,7 +2,7 @@ from dragon import *
 
 kBegPitch = 0.3
 kEndPitch = 0.55
-kTotalSteps = 10000
+kTotalSteps = 250000
 kStepPitch = (kEndPitch - kBegPitch) / kTotalSteps
 kParallelNum=24
 tasks_list = [kBegPitch + kStepPitch * i for i in range(kTotalSteps)]
@@ -19,6 +19,8 @@ def ProcessEntryPoint(arg):
     status = CheckCollision(status2blocks(dragen.CalcMoveList()))
     tmp_res[pitch]=status
     print(f"res={status}",file=logf)
+    if status == -1:
+      break
   with lock:  # 添加锁保护对共享字典的操作
     shared_dict.update(tmp_res)
 

A/3/sufficiency_test.py

@@ -1,7 +1,7 @@
 from dragon import *
 kBegPitch = 0.45033
 kEndPitch = 0.45034
-kTotalSteps = 1000
+kTotalSteps = 10
 kStepPitch = (kEndPitch - kBegPitch) / kTotalSteps
 kParallelNum=24
 tasks_list = [kBegPitch + kStepPitch * i for i in range(kTotalSteps)]
@@ -9,7 +9,7 @@ task_list_per_process=[tasks_list[i::kParallelNum] for i in range(kParallelNum)]
 
 kDeltaThetaBeg=0
 kDeltaThetaEnd=5*2*3.1415926
-kStepDeltaTheta=(kDeltaThetaEnd-kDeltaThetaBeg)/100
+kStepDeltaTheta=(kDeltaThetaEnd-kDeltaThetaBeg)/10000
 print(f"len(task_list_per_thread)={len(task_list_per_process)}",file=sys.stderr)
 def ProcessEntryPoint(arg):
   pitch_list, process_id, shared_dict, lock = arg

A/4/seek_max.py

@@ -10,8 +10,6 @@ for i in np.arange(10, 20, 1/1000):
   tasks_list.append(i)
 for i in np.arange(12, 14.2, 1/10000):
   tasks_list.append(i)
-for i in np.arange(13,13.2,1/100000):
-  tasks_list.append(i)
 for i in np.arange(13.085,13.095,1/1000000):
   tasks_list.append(i)
 task_list_per_process=[tasks_list[i::kParallelNum] for i in range(kParallelNum)]

A/4/testplot.py

@@ -1,5 +1,6 @@
 import matplotlib.pyplot as plt
 import numpy as np
+import mpmath as mp
 
 kPitch = 1.7
 kAlpha = kPitch / (2 * np.pi)
@@ -8,7 +9,12 @@ kCriticalRadius = 4.5
 theta_max = (kCriticalRadius) / kAlpha + 2 * 2 * np.pi
 kPlotingRadius = theta_max * kAlpha
 
-kCriticalTheta = 2.86 / ((2 / 3) * kAlpha)
+def f(x):
+  r=(1/3)*kAlpha*mp.sqrt(1+x**2)
+  phi=mp.atan(x)
+  L=mp.mpf("2.86")
+  return (r+3*r*mp.cos(mp.pi-2*phi)-L)**2+(3*r*mp.sin(mp.pi-2*phi))**2-L**2
+kCriticalTheta = float(mp.findroot(f, 15, solver='secant'))
 # 生成角度数组
 theta = np.linspace(kCriticalTheta, theta_max, 1000)
 
@@ -80,7 +86,5 @@ theta_grid = np.arctan2(Y, X)
 valid_points = r_grid <= kPlotingRadius
 ax.scatter(theta_grid[valid_points], r_grid[valid_points], color='grey', s=10)  # 灰色小点
 
-plt.title("The Moving Path")
-
 # 显示图像
 plt.show()