checked task3
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1
.gitignore
vendored
1
.gitignore
vendored
@@ -3,4 +3,5 @@
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*.bak
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*.dat
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*.log
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*.gif
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__pycache__/
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@@ -8,6 +8,8 @@ from typing import *
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import threading
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import numba
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import multiprocessing
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import io
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from PIL import Image
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mp.dps = 15 # 设置精度为15位小数
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@@ -62,6 +64,63 @@ class Dragon:
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node_list[i+1]["v"] = node_list[i]["v"] * (-mp.cos(alpha_i + beta_i) / mp.cos(alpha_ip1 - gama_i))
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return node_list
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def GenerateImg(self, node_list):
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fig = plt.figure(figsize=(12, 12))
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# 绘制灰色螺旋线
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theta = np.linspace(0, float(node_list[-1]["theta"]), 1000)
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x = [float(self.Theta2Dot(t)[0]) for t in theta]
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y = [float(self.Theta2Dot(t)[1]) for t in theta]
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plt.plot(x, y, color='gray', linewidth=0.5)
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# 绘制节点、连接线和木板
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for i in range(len(node_list) - 1):
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x1, y1 = [float(coord) for coord in node_list[i]["node"]]
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x2, y2 = [float(coord) for coord in node_list[i+1]["node"]]
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# 绘制红色节点
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plt.plot(x1, y1, 'ro', markersize=3)
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# 绘制蓝色连接线
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plt.plot([x1, x2], [y1, y2], 'b-', linewidth=0.5)
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# 计算并绘制木板(长方形)
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dx = x2 - x1
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dy = y2 - y1
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length = np.sqrt(dx**2 + dy**2)
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angle = np.arctan2(dy, dx)
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rect_length = length + 0.55 # 总长度加上两端各延伸的0.275m
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rect_width = 0.3
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# 计算长方形的中心点
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center_x = (x1 + x2) / 2
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center_y = (y1 + y2) / 2
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# 计算长方形的左下角坐标
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rect_x = center_x - rect_length/2 * np.cos(angle) + rect_width/2 * np.sin(angle)
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rect_y = center_y - rect_length/2 * np.sin(angle) - rect_width/2 * np.cos(angle)
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rect = Rectangle((rect_x, rect_y), rect_length, rect_width,
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angle=angle*180/np.pi, fill=False, edgecolor='g')
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plt.gca().add_patch(rect)
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# 绘制最后一个节点
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x, y = [float(coord) for coord in node_list[-1]["node"]]
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plt.plot(x, y, 'ro', markersize=3)
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plt.axis('equal')
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# 创建一个 BytesIO 对象来存储图像
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buf = io.BytesIO()
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plt.savefig(buf, format='png')
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buf.seek(0)
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# 清除当前图形,释放内存
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plt.close(fig)
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# 返回图像对象
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return Image.open(buf)
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# 将结果转换为float并保留6位小数
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@@ -27,4 +27,15 @@ if __name__ == "__main__":
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if False in results:
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print("Error")
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else:
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print("OK")
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print("OK")
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# Now generate an gif for human to check
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dragen = Dragon(mp.mpf(kPitchToTest)/(2*mp.pi))
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kTotalFrames=100
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kStepDeltaTheta=(kDeltaThetaEnd-kDeltaThetaBeg)/kTotalFrames
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frame_list=[]
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for i in range(kTotalFrames):
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delta_theta=kDeltaThetaBeg+kStepDeltaTheta*i
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cur_frame=dragen.GenerateImg(mp2float(dragen.CalcMoveList(delta_theta)))
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frame_list.append(cur_frame)
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frame_list.reverse()
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frame_list[0].save('dragon.gif', save_all=True, append_images=frame_list[1:], optimize=False, duration=1000, loop=0)
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