V-REP和Python的联合仿真

2023-11-07 13:44
文章标签 python 联合 仿真 rep

本文主要是介绍V-REP和Python的联合仿真,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

机器人仿真软件 各类免费的的机器人仿真软件优缺点汇总_robot 仿真 软件收费么_dyannacon的博客-CSDN博客

课程地址 https://class.guyuehome.com/p/t_pc/course_pc_detail/column/p_605af87be4b007b4183a42e7

课程资料 guyueclass: 古月学院课程代码

旋转变换 旋转的左乘与右乘 - 知乎

四足机器人站立控制原理 【基础知识】四足机器人的站立姿态控制原理 - 知乎

单腿逆解参考 https://github.com/richardbloemenkamp/Robotdog

Vrep文档

Vrep放大object

Vrep 导入模型步骤:

1. plugins-->urdf import导入机器人URDF文件

2. 删除机器人对象中的world_joint和world_link_visual

3. 双击设置机器人参数

碰撞参数设置:body参数设置,自身碰撞勾选前四个勾,leg参数设置,自身碰撞勾选后四个勾,即不计算与自身的碰撞关系

设置关节参数

调节颜色

python联合仿真

remote API路径:C:\Program Files\CoppeliaRobotics\CoppeliaSimEdu\programming\remoteApiBindings

1. 选择仿真器

2. 创建Vrep脚本用于远程连接

3. 绑定脚本到机器人

4. 编辑脚本,添加远程连接代码

4. 编写python脚本并测试(将腿部足端位置转换为关节的角度)

连接V-REP需要从remote API路径拷贝相关文件

"""
连接VREP Server并测试控制四足机器人
"""
try:import sim
except ImportError:print('--------------------------------------------------------------')print('"sim.py" could not be imported. This means very probably that')print('either "sim.py" or the remoteApi library could not be found.')print('Make sure both are in the same folder as this file,')print('or appropriately adjust the file "sim.py"')print('--------------------------------------------------------------')print('')sim = Noneimport time
import numpy as npdef start_simulation():sim.simxFinish(-1)# 开启套接字与server进行通信clientID = sim.simxStart('127.0.0.1', 19999, True, True, 5000, 5)if clientID != -1:print('Connected to remote API server with ClientID ', clientID)# 开始模拟sim.simxStartSimulation(clientID, sim.simx_opmode_oneshot)return clientIDelse:return -1def get_joints(client_id):# 机器人电机力矩参数rotation_forces = [# RB[500, 500, 500],# RF[500, 500, 500],# LB[500, 500, 500],# LF[500, 500, 500]]# 获取机器人关节对象句柄rec, rb_rot_1 = sim.simxGetObjectHandle(client_id, 'rb_rot_1', sim.simx_opmode_blocking)rec, rb_rot_2 = sim.simxGetObjectHandle(client_id, 'rb_rot_2', sim.simx_opmode_blocking)rec, rb_rot_3 = sim.simxGetObjectHandle(client_id, 'rb_rot_3', sim.simx_opmode_blocking)rec, rf_rot_1 = sim.simxGetObjectHandle(client_id, 'rf_rot_1', sim.simx_opmode_blocking)rec, rf_rot_2 = sim.simxGetObjectHandle(client_id, 'rf_rot_2', sim.simx_opmode_blocking)rec, rf_rot_3 = sim.simxGetObjectHandle(client_id, 'rf_rot_3', sim.simx_opmode_blocking)rec, lb_rot_1 = sim.simxGetObjectHandle(client_id, 'lb_rot_1', sim.simx_opmode_blocking)rec, lb_rot_2 = sim.simxGetObjectHandle(client_id, 'lb_rot_2', sim.simx_opmode_blocking)rec, lb_rot_3 = sim.simxGetObjectHandle(client_id, 'lb_rot_3', sim.simx_opmode_blocking)rec, lf_rot_1 = sim.simxGetObjectHandle(client_id, 'lf_rot_1', sim.simx_opmode_blocking)rec, lf_rot_2 = sim.simxGetObjectHandle(client_id, 'lf_rot_2', sim.simx_opmode_blocking)rec, lf_rot_3 = sim.simxGetObjectHandle(client_id, 'lf_rot_3', sim.simx_opmode_blocking)# 设置电机力矩rec = sim.simxSetJointForce(client_id, rb_rot_1, rotation_forces[0][0], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, rb_rot_2, rotation_forces[0][1], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, rb_rot_3, rotation_forces[0][2], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, rf_rot_1, rotation_forces[1][0], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, rf_rot_2, rotation_forces[1][1], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, rf_rot_3, rotation_forces[1][2], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lb_rot_1, rotation_forces[2][0], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lb_rot_2, rotation_forces[2][1], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lb_rot_3, rotation_forces[2][2], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lf_rot_1, rotation_forces[3][0], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lf_rot_2, rotation_forces[3][1], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lf_rot_3, rotation_forces[3][2], sim.simx_opmode_blocking)return [rb_rot_1, rb_rot_2, rb_rot_3], \[rf_rot_1, rf_rot_2, rf_rot_3], \[lb_rot_1, lb_rot_2, lb_rot_3], \[lf_rot_1, lf_rot_2, lf_rot_3]def leg_inverse_kine(x, y, z):# h,hu和hl分别是单条腿杆件的长度h = 0.15hu = 0.35hl = 0.382dyz = np.sqrt(y**2 + z**2)lyz = np.sqrt(dyz**2 - h**2)gamma_yz = -np.arctan(y/z)gamma_h_offset = -np.arctan(h/lyz)gamma = gamma_yz - gamma_h_offsetlxzp = np.sqrt(lyz**2 + x**2)n = (lxzp**2 - hl**2 - hu**2) / (2 * hu)beta = -np.arccos(n / hl)alfa_xzp = -np.arctan(x/lyz)alfa_off = np.arccos((hu + n) / lxzp)alfa = alfa_xzp + alfa_offreturn gamma, alfa, betaif __name__ == '__main__':# 机器人电机角度参数rb_poses = [40*np.pi/180, 0, 0]rf_poses = [0, 0, 0]lb_poses = [0, 0, 0]lf_poses = [0, 0, 0]client_id = start_simulation()if client_id != -1:joints = get_joints(client_id)rb_joints = joints[0]rf_joints = joints[1]lb_joints = joints[2]lf_joints = joints[3]time.sleep(1)timeout = 60start_time = time.time()curr_time = time.time()# 初始关节角度rb_poses = leg_inverse_kine(0, -0.3, -0.632)rf_poses = leg_inverse_kine(0, -0.3, -0.632)lb_poses = leg_inverse_kine(0, -0.3, -0.632)lf_poses = leg_inverse_kine(0, -0.3, -0.632)while curr_time - start_time < timeout:# 设置关节角度rec = sim.simxSetJointTargetPosition(client_id, rb_joints[0], -rb_poses[0], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, rb_joints[1], rb_poses[1], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, rb_joints[2], rb_poses[2], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, rf_joints[0], rf_poses[0], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, rf_joints[1], rf_poses[1], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, rf_joints[2], rf_poses[2], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, lb_joints[0], -lb_poses[0], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, lb_joints[1], lb_poses[1], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, lb_joints[2], lb_poses[2], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, lf_joints[0], lf_poses[0], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, lf_joints[1], lf_poses[1], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(client_id, lf_joints[2], lf_poses[2], sim.simx_opmode_oneshot)curr_time = time.time()# print("curr time :", curr_time - start_time)# 完成模拟sim.simxStopSimulation(client_id, sim.simx_opmode_blocking)sim.simxFinish(client_id)else:print('Failed connecting to remote API server')

显示足端轨迹

1. 打开shape编辑模式,并在vertex编辑模式下选择节点,在添加dummy

将dummy移动到腿部object下

2. 添加图用于创建curve

3. 设置3D Curve

4. 修改位置控制速度上限(将速度上限修改为500)

步态控制

utils.py

import sim
import numpy as npdef start_simulation():sim.simxFinish(-1)# 开启套接字与server进行通信clientID = sim.simxStart('127.0.0.1', 19999, True, True, 5000, 5)if clientID != -1:print('Connected to remote API server with ClientID ', clientID)# 开始模拟sim.simxStartSimulation(clientID, sim.simx_opmode_oneshot)return clientIDelse:return -1def get_joints(client_id):# 机器人电机力矩参数rotation_forces = [# RB[500, 500, 500],# RF[500, 500, 500],# LB[500, 500, 500],# LF[500, 500, 500]]# 获取机器人关节对象句柄rec, rb_rot_1 = sim.simxGetObjectHandle(client_id, 'rb_rot_1', sim.simx_opmode_blocking)rec, rb_rot_2 = sim.simxGetObjectHandle(client_id, 'rb_rot_2', sim.simx_opmode_blocking)rec, rb_rot_3 = sim.simxGetObjectHandle(client_id, 'rb_rot_3', sim.simx_opmode_blocking)rec, rf_rot_1 = sim.simxGetObjectHandle(client_id, 'rf_rot_1', sim.simx_opmode_blocking)rec, rf_rot_2 = sim.simxGetObjectHandle(client_id, 'rf_rot_2', sim.simx_opmode_blocking)rec, rf_rot_3 = sim.simxGetObjectHandle(client_id, 'rf_rot_3', sim.simx_opmode_blocking)rec, lb_rot_1 = sim.simxGetObjectHandle(client_id, 'lb_rot_1', sim.simx_opmode_blocking)rec, lb_rot_2 = sim.simxGetObjectHandle(client_id, 'lb_rot_2', sim.simx_opmode_blocking)rec, lb_rot_3 = sim.simxGetObjectHandle(client_id, 'lb_rot_3', sim.simx_opmode_blocking)rec, lf_rot_1 = sim.simxGetObjectHandle(client_id, 'lf_rot_1', sim.simx_opmode_blocking)rec, lf_rot_2 = sim.simxGetObjectHandle(client_id, 'lf_rot_2', sim.simx_opmode_blocking)rec, lf_rot_3 = sim.simxGetObjectHandle(client_id, 'lf_rot_3', sim.simx_opmode_blocking)# 设置电机力矩rec = sim.simxSetJointForce(client_id, rb_rot_1, rotation_forces[0][0], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, rb_rot_2, rotation_forces[0][1], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, rb_rot_3, rotation_forces[0][2], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, rf_rot_1, rotation_forces[1][0], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, rf_rot_2, rotation_forces[1][1], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, rf_rot_3, rotation_forces[1][2], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lb_rot_1, rotation_forces[2][0], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lb_rot_2, rotation_forces[2][1], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lb_rot_3, rotation_forces[2][2], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lf_rot_1, rotation_forces[3][0], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lf_rot_2, rotation_forces[3][1], sim.simx_opmode_blocking)rec = sim.simxSetJointForce(client_id, lf_rot_3, rotation_forces[3][2], sim.simx_opmode_blocking)return [rb_rot_1, rb_rot_2, rb_rot_3], \[rf_rot_1, rf_rot_2, rf_rot_3], \[lb_rot_1, lb_rot_2, lb_rot_3], \[lf_rot_1, lf_rot_2, lf_rot_3]def leg_inverse_kine(x, y, z):"""求四足机器人单条腿的逆运动学,输入足端位置,返回单腿关节的旋转的角度"""# h,hu和hl分别是单条腿杆件的长度h = 0.15hu = 0.35hl = 0.382dyz = np.sqrt(y ** 2 + z ** 2)lyz = np.sqrt(dyz ** 2 - h ** 2)gamma_yz = -np.arctan(y / z)gamma_h_offset = -np.arctan(h / lyz)gamma = gamma_yz - gamma_h_offsetlxzp = np.sqrt(lyz ** 2 + x ** 2)n = (lxzp ** 2 - hl ** 2 - hu ** 2) / (2 * hu)beta = -np.arccos(n / hl)alfa_xzp = -np.arctan(x / lyz)alfa_off = np.arccos((hu + n) / lxzp)alfa = alfa_xzp + alfa_offreturn gamma, alfa, betadef pose_control(roll, pitch, yaw, pos_x, pos_y, pos_z):"""输入"""b = 0.4l = 0.8w = 0.7# 基座的高度h = 0.732# 转换角度R = roll * np.pi / 180P = pitch * np.pi / 180Y = yaw * np.pi / 180pos = np.mat([pos_x, pos_y, pos_z]).T# 定义旋转矩阵rotx = np.mat([[1, 0, 0],[0, np.cos(R), -np.sin(R)],[0, np.sin(R), np.cos(R)]])roty = np.mat([[np.cos(P), 0, -np.sin(P)],[0, 1, 0],[np.sin(P), 0, np.cos(P)]])rotz = np.mat([[np.cos(Y), -np.sin(Y), 0],[np.sin(Y), np.cos(Y), 0],[0, 0, 1]])rot_mat = rotx * roty * rotz# 基座位置body_struct = np.mat([[l / 2, b / 2, h],[l / 2, -b / 2, h],[-l / 2, b / 2, h],[-l / 2, -b / 2, h]]).T# 足端位置footpoint_struct = np.mat([[l / 2, w / 2, 0],[l / 2, -w / 2, 0],[-l / 2, w / 2, 0],[-l / 2, -w / 2, 0]]).Tleg_pose = np.mat(np.zeros((3, 4)))for i in range(4):leg_pose[:, i] = -pos - rot_mat * body_struct[:, i] + footpoint_struct[:, i]return np.squeeze(np.array(leg_pose[:, 3])), np.squeeze(np.array(leg_pose[:, 0])), \np.squeeze(np.array(leg_pose[:, 1])), np.squeeze(np.array(leg_pose[:, 2]))def cycloid(dt: float, period: float = 1.0, xs: float = -0.1, xf: float = 0.1, zs: float = -0.582, h: float = 0.1):"""计算摆线上在给定时间t处的坐标。参数:t (float): 当前时间点Ts (float): 摆线运动总时间,默认为1.0xs (float): 起始x坐标,默认为-0.1xf (float): 终点x坐标,默认为0.1zs (float): 起始z坐标,默认为-0.582h (float): 摆线垂直位移,默认为0.1返回:tuple[float, float]: xep和zep的坐标值"""sigma = 2 * np.pi * dt / periodx_p = (xf - xs) * ((sigma - np.sin(sigma)) / (2 * np.pi)) + xsy_p = h * (1 - np.cos(sigma)) / 2 + zsreturn x_p, y_pif __name__ == '__main__':for pos in pose_control(30, 0, 0, 0, 0, 0.732):print(pos)

main.py

import time
from utils import *walk_period = 1.0
trot_period = 0.4gait = 1def cal_phase(dt, T, factor, zs = -0.482, h = 0.15):if dt < T * factor:return cycloid(dt, period=T * factor, zs=zs, h=h)else:return 0.1 - 0.2 / (T * (1 - factor)) * (dt - T * factor), zsdef walk_gait(dt):zs = -0.482h = 0.15lb_dt = dt % walk_periodrf_dt = (dt + 0.25) % walk_periodrb_dt = (dt + 0.5) % walk_periodlf_dt = (dt + 0.75) % walk_periodlb_pos = cal_phase(lb_dt, T=walk_period, factor=0.25, zs=zs, h=h)rf_pos = cal_phase(rf_dt, T=walk_period, factor=0.25, zs=zs, h=h)rb_pos = cal_phase(rb_dt, T=walk_period, factor=0.25, zs=zs, h=h)lf_pos = cal_phase(lf_dt, T=walk_period, factor=0.25, zs=zs, h=h)return lb_pos, rf_pos, rb_pos, lf_posdef trot_gait(dt):zs = -0.482h = 0.1dt_1 = dt % trot_perioddt_2 = (dt + 0.2) % trot_periodpos_1 = cal_phase(dt_1, T=trot_period, factor=0.5, zs=zs, h=h)pos_2 = cal_phase(dt_2, T=trot_period, factor=0.5, zs=zs, h=h)return pos_1, pos_2if __name__ == '__main__':# 连接到V-REP服务器clientID = start_simulation()# 检查连接是否成功if clientID != -1:joints = get_joints(clientID)rb_joints = joints[0]rf_joints = joints[1]lb_joints = joints[2]lf_joints = joints[3]timeout = 60start_time = time.time()curr_time = start_timesim_start_time, sim_curr_time = None, Nonelb_pos, rf_pos, rb_pos, lf_pos = None, None, None, None# 获取仿真时间while curr_time - start_time < timeout:res, sim_curr_time = sim.simxGetFloatSignal(clientID, 'time', sim.simx_opmode_oneshot)if res == sim.simx_return_ok:if sim_start_time is None:sim_start_time = sim_curr_timeprint("time ", sim_curr_time - sim_start_time)if sim_start_time:dt = sim_curr_time - sim_start_timeif gait == 0:# dt = (sim_curr_time - sim_start_time) % walk_periodlb_pos, rf_pos, rb_pos, lf_pos = walk_gait(dt)elif gait == 1:# dt = (sim_curr_time - sim_start_time) % trot_periodpos_1, pos_2 = trot_gait(dt)lb_pos = pos_1rf_pos = pos_1rb_pos = pos_2lf_pos = pos_2# 从足端位置求解关节角度rb_pose = leg_inverse_kine(rb_pos[0], -0.15, rb_pos[1])rf_pose = leg_inverse_kine(rf_pos[0], -0.15, rf_pos[1])lb_pose = leg_inverse_kine(lb_pos[0], -0.15, lb_pos[1])lf_pose = leg_inverse_kine(lf_pos[0], -0.15, lf_pos[1])rec = sim.simxSetJointTargetPosition(clientID, rb_joints[0], -rb_pose[0], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, rb_joints[1], rb_pose[1], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, rb_joints[2], rb_pose[2], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, rf_joints[0], rf_pose[0], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, rf_joints[1], rf_pose[1], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, rf_joints[2], rf_pose[2], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, lb_joints[0], -lb_pose[0], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, lb_joints[1], lb_pose[1], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, lb_joints[2], lb_pose[2], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, lf_joints[0], lf_pose[0], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, lf_joints[1], lf_pose[1], sim.simx_opmode_oneshot)rec = sim.simxSetJointTargetPosition(clientID, lf_joints[2], lf_pose[2], sim.simx_opmode_oneshot)# 停止仿真并断开与V-REP的连接sim.simxStopSimulation(clientID, sim.simx_opmode_oneshot)sim.simxFinish(clientID)else:print("无法连接到V-REP")

walk步态

trot步态

这篇关于V-REP和Python的联合仿真的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!



http://www.chinasem.cn/article/364005

相关文章

python使用fastapi实现多语言国际化的操作指南

《python使用fastapi实现多语言国际化的操作指南》本文介绍了使用Python和FastAPI实现多语言国际化的操作指南,包括多语言架构技术栈、翻译管理、前端本地化、语言切换机制以及常见陷阱和... 目录多语言国际化实现指南项目多语言架构技术栈目录结构翻译工作流1. 翻译数据存储2. 翻译生成脚本

如何通过Python实现一个消息队列

《如何通过Python实现一个消息队列》这篇文章主要为大家详细介绍了如何通过Python实现一个简单的消息队列,文中的示例代码讲解详细,感兴趣的小伙伴可以跟随小编一起学习一下... 目录如何通过 python 实现消息队列如何把 http 请求放在队列中执行1. 使用 queue.Queue 和 reque

Python如何实现PDF隐私信息检测

《Python如何实现PDF隐私信息检测》随着越来越多的个人信息以电子形式存储和传输,确保这些信息的安全至关重要,本文将介绍如何使用Python检测PDF文件中的隐私信息,需要的可以参考下... 目录项目背景技术栈代码解析功能说明运行结php果在当今,数据隐私保护变得尤为重要。随着越来越多的个人信息以电子形

使用Python快速实现链接转word文档

《使用Python快速实现链接转word文档》这篇文章主要为大家详细介绍了如何使用Python快速实现链接转word文档功能,文中的示例代码讲解详细,感兴趣的小伙伴可以跟随小编一起学习一下... 演示代码展示from newspaper import Articlefrom docx import

Python Jupyter Notebook导包报错问题及解决

《PythonJupyterNotebook导包报错问题及解决》在conda环境中安装包后,JupyterNotebook导入时出现ImportError,可能是由于包版本不对应或版本太高,解决方... 目录问题解决方法重新安装Jupyter NoteBook 更改Kernel总结问题在conda上安装了

Python如何计算两个不同类型列表的相似度

《Python如何计算两个不同类型列表的相似度》在编程中,经常需要比较两个列表的相似度,尤其是当这两个列表包含不同类型的元素时,下面小编就来讲讲如何使用Python计算两个不同类型列表的相似度吧... 目录摘要引言数字类型相似度欧几里得距离曼哈顿距离字符串类型相似度Levenshtein距离Jaccard相

Python安装时常见报错以及解决方案

《Python安装时常见报错以及解决方案》:本文主要介绍在安装Python、配置环境变量、使用pip以及运行Python脚本时常见的错误及其解决方案,文中介绍的非常详细,需要的朋友可以参考下... 目录一、安装 python 时常见报错及解决方案(一)安装包下载失败(二)权限不足二、配置环境变量时常见报错及

Python中顺序结构和循环结构示例代码

《Python中顺序结构和循环结构示例代码》:本文主要介绍Python中的条件语句和循环语句,条件语句用于根据条件执行不同的代码块,循环语句用于重复执行一段代码,文章还详细说明了range函数的使... 目录一、条件语句(1)条件语句的定义(2)条件语句的语法(a)单分支 if(b)双分支 if-else(

Python itertools中accumulate函数用法及使用运用详细讲解

《Pythonitertools中accumulate函数用法及使用运用详细讲解》:本文主要介绍Python的itertools库中的accumulate函数,该函数可以计算累积和或通过指定函数... 目录1.1前言:1.2定义:1.3衍生用法:1.3Leetcode的实际运用:总结 1.1前言:本文将详

Java深度学习库DJL实现Python的NumPy方式

《Java深度学习库DJL实现Python的NumPy方式》本文介绍了DJL库的背景和基本功能,包括NDArray的创建、数学运算、数据获取和设置等,同时,还展示了如何使用NDArray进行数据预处理... 目录1 NDArray 的背景介绍1.1 架构2 JavaDJL使用2.1 安装DJL2.2 基本操