请帮我写一个得到maya里相机的位置以及旋转的向量并以场景里的物体的顶点做点积运算的python代码

以下是得到Maya相机位置和旋转向量，并执行点积运算的Python代码：

import maya.cmds as cmds
import numpy as np

# 获取相机位置和旋转向量
camera = cmds.ls(type='camera')[0]
position = cmds.xform(camera, query=True, worldSpace=True, translation=True)
rotation = cmds.xform(camera, query=True, worldSpace=True, rotation=True)

# 将旋转向量转换为弧度制
rotation = np.deg2rad(rotation)

# 创建一个球体，并获取其顶点坐标
sphere = cmds.polySphere()[0]
vertices = cmds.getAttr(sphere + '.vtx[*]')

# 将相机位置和旋转向量转换为numpy数组
position = np.array(position)
rotation = np.array(rotation)

# 计算每个顶点与相机位置的向量
vectors = vertices - position

# 将旋转向量转换为旋转矩阵
x_rotation = np.array([[1, 0, 0],
                       [0, np.cos(rotation[0]), -np.sin(rotation[0])],
                       [0, np.sin(rotation[0]), np.cos(rotation[0])]])

y_rotation = np.array([[np.cos(rotation[1]), 0, np.sin(rotation[1])],
                       [0, 1, 0],
                       [-np.sin(rotation[1]), 0, np.cos(rotation[1])]])

z_rotation = np.array([[np.cos(rotation[2]), -np.sin(rotation[2]), 0],
                       [np.sin(rotation[2]), np.cos(rotation[2]), 0],
                       [0, 0, 1]])

rotation_matrix = np.dot(z_rotation, np.dot(y_rotation, x_rotation))

# 将每个顶点向量乘以旋转矩阵
rotated_vectors = np.dot(vectors, rotation_matrix)

# 计算每个顶点向量与相机位置的点积
dot_products = np.sum(rotated_vectors * vectors, axis=1)

# 输出点积结果
print(dot_products)