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All code is highly based on Ildoo Kim's code (https://github.com/ildoonet/tf-openpose) and derived from the OpenPose Library (https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/LICENSE)

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#!/usr/bin/python3

import rclpy
from rclpy.node import Node
from rclpy.qos import qos_profile_sensor_data
from hrim_actuator_rotaryservo_msgs.msg import GoalRotaryServo

class MinimalPublisher(Node):

    def __init__(self):

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#!/usr/bin/python3

import rclpy
from rclpy.node import Node
from rclpy.qos import qos_profile_sensor_data
from hrim_actuator_rotaryservo_msgs.msg import GoalRotaryServo

class MinimalPublisher(Node):

    def __init__(self, init_pos=0.):

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from action_msgs.msg import GoalStatus
from hrim_actuator_rotaryservo_actions.action import GoalJointTrajectory
from trajectory_msgs.msg import JointTrajectoryPoint

import rclpy
from rclpy.action import ActionClient
from rclpy.node import Node


class MinimalActionClient(Node):

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#include "rclcpp/rclcpp.hpp"
#include "rclcpp_action/rclcpp_action.hpp"
#include "hrim_actuator_rotaryservo_actions/action/goal_joint_trajectory.hpp"

#include <inttypes.h>
#include <memory>

using HRIMJointTrajectory = hrim_actuator_rotaryservo_actions::action::GoalJointTrajectory;
using GoalHandleHRIMJointTrajectory = rclcpp_action::ClientGoalHandle<HRIMJointTrajectory>;

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#include "rclcpp/rclcpp.hpp"
#include "hrim_actuator_rotaryservo_msgs/msg/state_rotary_servo.hpp"

using std::placeholders::_1;

class MinimalSubscriber : public rclcpp::Node
{
  public:
    MinimalSubscriber(): Node("minimal_subscriber"),
    called(false)

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#include <iostream>
#include <vector>
#include "solution.h"


int main()
{
    std::vector<int> prices = {5, 3, 7, 1, 5, 3, 6, 4};
    
    Solution* sol = new Solution();

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#include <iostream>
#include <vector>
#include "solution.h"

int main()
{
    std::vector<int> ns = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
    
    Solution* sol = new Solution();