LocalizedCloud.h

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/* Auto-generated by genmsg_cpp for file /tmp/buildd/ros-diamondback-graph-mapping-0.3.0/debian/ros-diamondback-graph-mapping/opt/ros/diamondback/stacks/graph_mapping/occupancy_grid_utils/msg/LocalizedCloud.msg */
#ifndef OCCUPANCY_GRID_UTILS_MESSAGE_LOCALIZEDCLOUD_H
#define OCCUPANCY_GRID_UTILS_MESSAGE_LOCALIZEDCLOUD_H
#include <string>
#include <vector>
#include <ostream>
#include "ros/serialization.h"
#include "ros/builtin_message_traits.h"
#include "ros/message_operations.h"
#include "ros/message.h"
#include "ros/time.h"

#include "std_msgs/Header.h"
#include "geometry_msgs/Pose.h"
#include "sensor_msgs/PointCloud.h"

namespace occupancy_grid_utils
{
template <class ContainerAllocator>
struct LocalizedCloud_ : public ros::Message
{
  typedef LocalizedCloud_<ContainerAllocator> Type;

  LocalizedCloud_()
  : header()
  , sensor_pose()
  , cloud()
  {
  }

  LocalizedCloud_(const ContainerAllocator& _alloc)
  : header(_alloc)
  , sensor_pose(_alloc)
  , cloud(_alloc)
  {
  }

  typedef  ::std_msgs::Header_<ContainerAllocator>  _header_type;
   ::std_msgs::Header_<ContainerAllocator>  header;

  typedef  ::geometry_msgs::Pose_<ContainerAllocator>  _sensor_pose_type;
   ::geometry_msgs::Pose_<ContainerAllocator>  sensor_pose;

  typedef  ::sensor_msgs::PointCloud_<ContainerAllocator>  _cloud_type;
   ::sensor_msgs::PointCloud_<ContainerAllocator>  cloud;


private:
  static const char* __s_getDataType_() { return "occupancy_grid_utils/LocalizedCloud"; }
public:
  ROS_DEPRECATED static const std::string __s_getDataType() { return __s_getDataType_(); }

  ROS_DEPRECATED const std::string __getDataType() const { return __s_getDataType_(); }

private:
  static const char* __s_getMD5Sum_() { return "e868d77f7e7116b7eb215e43caa0ea5d"; }
public:
  ROS_DEPRECATED static const std::string __s_getMD5Sum() { return __s_getMD5Sum_(); }

  ROS_DEPRECATED const std::string __getMD5Sum() const { return __s_getMD5Sum_(); }

private:
  static const char* __s_getMessageDefinition_() { return "# Represents a point cloud (in a sensor frame) together with the pose of the sensor in\n\
# reference frame header.frame_id\n\
# The header of the cloud is ignored\n\
Header header\n\
geometry_msgs/Pose sensor_pose\n\
sensor_msgs/PointCloud cloud\n\
================================================================================\n\
MSG: std_msgs/Header\n\
# Standard metadata for higher-level stamped data types.\n\
# This is generally used to communicate timestamped data \n\
# in a particular coordinate frame.\n\
# \n\
# sequence ID: consecutively increasing ID \n\
uint32 seq\n\
#Two-integer timestamp that is expressed as:\n\
# * stamp.secs: seconds (stamp_secs) since epoch\n\
# * stamp.nsecs: nanoseconds since stamp_secs\n\
# time-handling sugar is provided by the client library\n\
time stamp\n\
#Frame this data is associated with\n\
# 0: no frame\n\
# 1: global frame\n\
string frame_id\n\
\n\
================================================================================\n\
MSG: geometry_msgs/Pose\n\
# A representation of pose in free space, composed of postion and orientation. \n\
Point position\n\
Quaternion orientation\n\
\n\
================================================================================\n\
MSG: geometry_msgs/Point\n\
# This contains the position of a point in free space\n\
float64 x\n\
float64 y\n\
float64 z\n\
\n\
================================================================================\n\
MSG: geometry_msgs/Quaternion\n\
# This represents an orientation in free space in quaternion form.\n\
\n\
float64 x\n\
float64 y\n\
float64 z\n\
float64 w\n\
\n\
================================================================================\n\
MSG: sensor_msgs/PointCloud\n\
# This message holds a collection of 3d points, plus optional additional\n\
# information about each point.\n\
\n\
# Time of sensor data acquisition, coordinate frame ID.\n\
Header header\n\
\n\
# Array of 3d points. Each Point32 should be interpreted as a 3d point\n\
# in the frame given in the header.\n\
geometry_msgs/Point32[] points\n\
\n\
# Each channel should have the same number of elements as points array,\n\
# and the data in each channel should correspond 1:1 with each point.\n\
# Channel names in common practice are listed in ChannelFloat32.msg.\n\
ChannelFloat32[] channels\n\
\n\
================================================================================\n\
MSG: geometry_msgs/Point32\n\
# This contains the position of a point in free space(with 32 bits of precision).\n\
# It is recommeded to use Point wherever possible instead of Point32.  \n\
# \n\
# This recommendation is to promote interoperability.  \n\
#\n\
# This message is designed to take up less space when sending\n\
# lots of points at once, as in the case of a PointCloud.  \n\
\n\
float32 x\n\
float32 y\n\
float32 z\n\
================================================================================\n\
MSG: sensor_msgs/ChannelFloat32\n\
# This message is used by the PointCloud message to hold optional data\n\
# associated with each point in the cloud. The length of the values\n\
# array should be the same as the length of the points array in the\n\
# PointCloud, and each value should be associated with the corresponding\n\
# point.\n\
\n\
# Channel names in existing practice include:\n\
#   \"u\", \"v\" - row and column (respectively) in the left stereo image.\n\
#              This is opposite to usual conventions but remains for\n\
#              historical reasons. The newer PointCloud2 message has no\n\
#              such problem.\n\
#   \"rgb\" - For point clouds produced by color stereo cameras. uint8\n\
#           (R,G,B) values packed into the least significant 24 bits,\n\
#           in order.\n\
#   \"intensity\" - laser or pixel intensity.\n\
#   \"distance\"\n\
\n\
# The channel name should give semantics of the channel (e.g.\n\
# \"intensity\" instead of \"value\").\n\
string name\n\
\n\
# The values array should be 1-1 with the elements of the associated\n\
# PointCloud.\n\
float32[] values\n\
\n\
"; }
public:
  ROS_DEPRECATED static const std::string __s_getMessageDefinition() { return __s_getMessageDefinition_(); }

  ROS_DEPRECATED const std::string __getMessageDefinition() const { return __s_getMessageDefinition_(); }

  ROS_DEPRECATED virtual uint8_t *serialize(uint8_t *write_ptr, uint32_t seq) const
  {
    ros::serialization::OStream stream(write_ptr, 1000000000);
    ros::serialization::serialize(stream, header);
    ros::serialization::serialize(stream, sensor_pose);
    ros::serialization::serialize(stream, cloud);
    return stream.getData();
  }

  ROS_DEPRECATED virtual uint8_t *deserialize(uint8_t *read_ptr)
  {
    ros::serialization::IStream stream(read_ptr, 1000000000);
    ros::serialization::deserialize(stream, header);
    ros::serialization::deserialize(stream, sensor_pose);
    ros::serialization::deserialize(stream, cloud);
    return stream.getData();
  }

  ROS_DEPRECATED virtual uint32_t serializationLength() const
  {
    uint32_t size = 0;
    size += ros::serialization::serializationLength(header);
    size += ros::serialization::serializationLength(sensor_pose);
    size += ros::serialization::serializationLength(cloud);
    return size;
  }

  typedef boost::shared_ptr< ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> > Ptr;
  typedef boost::shared_ptr< ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator>  const> ConstPtr;
}; // struct LocalizedCloud
typedef  ::occupancy_grid_utils::LocalizedCloud_<std::allocator<void> > LocalizedCloud;

typedef boost::shared_ptr< ::occupancy_grid_utils::LocalizedCloud> LocalizedCloudPtr;
typedef boost::shared_ptr< ::occupancy_grid_utils::LocalizedCloud const> LocalizedCloudConstPtr;


template<typename ContainerAllocator>
std::ostream& operator<<(std::ostream& s, const  ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> & v)
{
  ros::message_operations::Printer< ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> >::stream(s, "", v);
  return s;}

} // namespace occupancy_grid_utils

namespace ros
{
namespace message_traits
{
template<class ContainerAllocator>
struct MD5Sum< ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> > {
  static const char* value() 
  {
    return "e868d77f7e7116b7eb215e43caa0ea5d";
  }

  static const char* value(const  ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> &) { return value(); } 
  static const uint64_t static_value1 = 0xe868d77f7e7116b7ULL;
  static const uint64_t static_value2 = 0xeb215e43caa0ea5dULL;
};

template<class ContainerAllocator>
struct DataType< ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> > {
  static const char* value() 
  {
    return "occupancy_grid_utils/LocalizedCloud";
  }

  static const char* value(const  ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> &) { return value(); } 
};

template<class ContainerAllocator>
struct Definition< ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> > {
  static const char* value() 
  {
    return "# Represents a point cloud (in a sensor frame) together with the pose of the sensor in\n\
# reference frame header.frame_id\n\
# The header of the cloud is ignored\n\
Header header\n\
geometry_msgs/Pose sensor_pose\n\
sensor_msgs/PointCloud cloud\n\
================================================================================\n\
MSG: std_msgs/Header\n\
# Standard metadata for higher-level stamped data types.\n\
# This is generally used to communicate timestamped data \n\
# in a particular coordinate frame.\n\
# \n\
# sequence ID: consecutively increasing ID \n\
uint32 seq\n\
#Two-integer timestamp that is expressed as:\n\
# * stamp.secs: seconds (stamp_secs) since epoch\n\
# * stamp.nsecs: nanoseconds since stamp_secs\n\
# time-handling sugar is provided by the client library\n\
time stamp\n\
#Frame this data is associated with\n\
# 0: no frame\n\
# 1: global frame\n\
string frame_id\n\
\n\
================================================================================\n\
MSG: geometry_msgs/Pose\n\
# A representation of pose in free space, composed of postion and orientation. \n\
Point position\n\
Quaternion orientation\n\
\n\
================================================================================\n\
MSG: geometry_msgs/Point\n\
# This contains the position of a point in free space\n\
float64 x\n\
float64 y\n\
float64 z\n\
\n\
================================================================================\n\
MSG: geometry_msgs/Quaternion\n\
# This represents an orientation in free space in quaternion form.\n\
\n\
float64 x\n\
float64 y\n\
float64 z\n\
float64 w\n\
\n\
================================================================================\n\
MSG: sensor_msgs/PointCloud\n\
# This message holds a collection of 3d points, plus optional additional\n\
# information about each point.\n\
\n\
# Time of sensor data acquisition, coordinate frame ID.\n\
Header header\n\
\n\
# Array of 3d points. Each Point32 should be interpreted as a 3d point\n\
# in the frame given in the header.\n\
geometry_msgs/Point32[] points\n\
\n\
# Each channel should have the same number of elements as points array,\n\
# and the data in each channel should correspond 1:1 with each point.\n\
# Channel names in common practice are listed in ChannelFloat32.msg.\n\
ChannelFloat32[] channels\n\
\n\
================================================================================\n\
MSG: geometry_msgs/Point32\n\
# This contains the position of a point in free space(with 32 bits of precision).\n\
# It is recommeded to use Point wherever possible instead of Point32.  \n\
# \n\
# This recommendation is to promote interoperability.  \n\
#\n\
# This message is designed to take up less space when sending\n\
# lots of points at once, as in the case of a PointCloud.  \n\
\n\
float32 x\n\
float32 y\n\
float32 z\n\
================================================================================\n\
MSG: sensor_msgs/ChannelFloat32\n\
# This message is used by the PointCloud message to hold optional data\n\
# associated with each point in the cloud. The length of the values\n\
# array should be the same as the length of the points array in the\n\
# PointCloud, and each value should be associated with the corresponding\n\
# point.\n\
\n\
# Channel names in existing practice include:\n\
#   \"u\", \"v\" - row and column (respectively) in the left stereo image.\n\
#              This is opposite to usual conventions but remains for\n\
#              historical reasons. The newer PointCloud2 message has no\n\
#              such problem.\n\
#   \"rgb\" - For point clouds produced by color stereo cameras. uint8\n\
#           (R,G,B) values packed into the least significant 24 bits,\n\
#           in order.\n\
#   \"intensity\" - laser or pixel intensity.\n\
#   \"distance\"\n\
\n\
# The channel name should give semantics of the channel (e.g.\n\
# \"intensity\" instead of \"value\").\n\
string name\n\
\n\
# The values array should be 1-1 with the elements of the associated\n\
# PointCloud.\n\
float32[] values\n\
\n\
";
  }

  static const char* value(const  ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> &) { return value(); } 
};

template<class ContainerAllocator> struct HasHeader< ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> > : public TrueType {};
template<class ContainerAllocator> struct HasHeader< const ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> > : public TrueType {};
} // namespace message_traits
} // namespace ros

namespace ros
{
namespace serialization
{

template<class ContainerAllocator> struct Serializer< ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> >
{
  template<typename Stream, typename T> inline static void allInOne(Stream& stream, T m)
  {
    stream.next(m.header);
    stream.next(m.sensor_pose);
    stream.next(m.cloud);
  }

  ROS_DECLARE_ALLINONE_SERIALIZER;
}; // struct LocalizedCloud_
} // namespace serialization
} // namespace ros

namespace ros
{
namespace message_operations
{

template<class ContainerAllocator>
struct Printer< ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> >
{
  template<typename Stream> static void stream(Stream& s, const std::string& indent, const  ::occupancy_grid_utils::LocalizedCloud_<ContainerAllocator> & v) 
  {
    s << indent << "header: ";
s << std::endl;
    Printer< ::std_msgs::Header_<ContainerAllocator> >::stream(s, indent + "  ", v.header);
    s << indent << "sensor_pose: ";
s << std::endl;
    Printer< ::geometry_msgs::Pose_<ContainerAllocator> >::stream(s, indent + "  ", v.sensor_pose);
    s << indent << "cloud: ";
s << std::endl;
    Printer< ::sensor_msgs::PointCloud_<ContainerAllocator> >::stream(s, indent + "  ", v.cloud);
  }
};


} // namespace message_operations
} // namespace ros

#endif // OCCUPANCY_GRID_UTILS_MESSAGE_LOCALIZEDCLOUD_H

---

occupancy_grid_utils
Author(s): Bhaskara Marthi
autogenerated on Fri Jan 11 10:07:07 2013