GetConfidenceLeafFitting.h

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/* Auto-generated by genmsg_cpp for file /home/rosbuild/hudson/workspace/doc-fuerte-all-iri-ros.pub/doc_stacks/2013-12-06_19-37-16.229269/iri_perception/iri_leaf_fitting/srv/GetConfidenceLeafFitting.srv */
#ifndef IRI_LEAF_FITTING_SERVICE_GETCONFIDENCELEAFFITTING_H
#define IRI_LEAF_FITTING_SERVICE_GETCONFIDENCELEAFFITTING_H
#include <string>
#include <vector>
#include <map>
#include <ostream>
#include "ros/serialization.h"
#include "ros/builtin_message_traits.h"
#include "ros/message_operations.h"
#include "ros/time.h"

#include "ros/macros.h"

#include "ros/assert.h"

#include "ros/service_traits.h"

#include "std_msgs/UInt32.h"
#include "std_msgs/UInt32MultiArray.h"


#include "std_msgs/UInt32MultiArray.h"

namespace iri_leaf_fitting
{
template <class ContainerAllocator>
struct GetConfidenceLeafFittingRequest_ {
  typedef GetConfidenceLeafFittingRequest_<ContainerAllocator> Type;

  GetConfidenceLeafFittingRequest_()
  : num_clusters()
  , cluster_labels()
  {
  }

  GetConfidenceLeafFittingRequest_(const ContainerAllocator& _alloc)
  : num_clusters(_alloc)
  , cluster_labels(_alloc)
  {
  }

  typedef  ::std_msgs::UInt32_<ContainerAllocator>  _num_clusters_type;
   ::std_msgs::UInt32_<ContainerAllocator>  num_clusters;

  typedef  ::std_msgs::UInt32MultiArray_<ContainerAllocator>  _cluster_labels_type;
   ::std_msgs::UInt32MultiArray_<ContainerAllocator>  cluster_labels;


  typedef boost::shared_ptr< ::iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator> > Ptr;
  typedef boost::shared_ptr< ::iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator>  const> ConstPtr;
  boost::shared_ptr<std::map<std::string, std::string> > __connection_header;
}; // struct GetConfidenceLeafFittingRequest
typedef  ::iri_leaf_fitting::GetConfidenceLeafFittingRequest_<std::allocator<void> > GetConfidenceLeafFittingRequest;

typedef boost::shared_ptr< ::iri_leaf_fitting::GetConfidenceLeafFittingRequest> GetConfidenceLeafFittingRequestPtr;
typedef boost::shared_ptr< ::iri_leaf_fitting::GetConfidenceLeafFittingRequest const> GetConfidenceLeafFittingRequestConstPtr;


template <class ContainerAllocator>
struct GetConfidenceLeafFittingResponse_ {
  typedef GetConfidenceLeafFittingResponse_<ContainerAllocator> Type;

  GetConfidenceLeafFittingResponse_()
  : fit_score_list()
  {
  }

  GetConfidenceLeafFittingResponse_(const ContainerAllocator& _alloc)
  : fit_score_list(_alloc)
  {
  }

  typedef  ::std_msgs::UInt32MultiArray_<ContainerAllocator>  _fit_score_list_type;
   ::std_msgs::UInt32MultiArray_<ContainerAllocator>  fit_score_list;


  typedef boost::shared_ptr< ::iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator> > Ptr;
  typedef boost::shared_ptr< ::iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator>  const> ConstPtr;
  boost::shared_ptr<std::map<std::string, std::string> > __connection_header;
}; // struct GetConfidenceLeafFittingResponse
typedef  ::iri_leaf_fitting::GetConfidenceLeafFittingResponse_<std::allocator<void> > GetConfidenceLeafFittingResponse;

typedef boost::shared_ptr< ::iri_leaf_fitting::GetConfidenceLeafFittingResponse> GetConfidenceLeafFittingResponsePtr;
typedef boost::shared_ptr< ::iri_leaf_fitting::GetConfidenceLeafFittingResponse const> GetConfidenceLeafFittingResponseConstPtr;

struct GetConfidenceLeafFitting
{

typedef GetConfidenceLeafFittingRequest Request;
typedef GetConfidenceLeafFittingResponse Response;
Request request;
Response response;

typedef Request RequestType;
typedef Response ResponseType;
}; // struct GetConfidenceLeafFitting
} // namespace iri_leaf_fitting

namespace ros
{
namespace message_traits
{
template<class ContainerAllocator> struct IsMessage< ::iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator> > : public TrueType {};
template<class ContainerAllocator> struct IsMessage< ::iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator>  const> : public TrueType {};
template<class ContainerAllocator>
struct MD5Sum< ::iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "473c59501c5a8d02d0d0a1bc6ce725b3";
  }

  static const char* value(const  ::iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator> &) { return value(); } 
  static const uint64_t static_value1 = 0x473c59501c5a8d02ULL;
  static const uint64_t static_value2 = 0xd0d0a1bc6ce725b3ULL;
};

template<class ContainerAllocator>
struct DataType< ::iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_leaf_fitting/GetConfidenceLeafFittingRequest";
  }

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

template<class ContainerAllocator>
struct Definition< ::iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "\n\
std_msgs/UInt32 num_clusters\n\
std_msgs/UInt32MultiArray cluster_labels\n\
\n\
================================================================================\n\
MSG: std_msgs/UInt32\n\
uint32 data\n\
================================================================================\n\
MSG: std_msgs/UInt32MultiArray\n\
# Please look at the MultiArrayLayout message definition for\n\
# documentation on all multiarrays.\n\
\n\
MultiArrayLayout  layout        # specification of data layout\n\
uint32[]          data          # array of data\n\
\n\
\n\
================================================================================\n\
MSG: std_msgs/MultiArrayLayout\n\
# The multiarray declares a generic multi-dimensional array of a\n\
# particular data type.  Dimensions are ordered from outer most\n\
# to inner most.\n\
\n\
MultiArrayDimension[] dim # Array of dimension properties\n\
uint32 data_offset        # padding bytes at front of data\n\
\n\
# Accessors should ALWAYS be written in terms of dimension stride\n\
# and specified outer-most dimension first.\n\
# \n\
# multiarray(i,j,k) = data[data_offset + dim_stride[1]*i + dim_stride[2]*j + k]\n\
#\n\
# A standard, 3-channel 640x480 image with interleaved color channels\n\
# would be specified as:\n\
#\n\
# dim[0].label  = \"height\"\n\
# dim[0].size   = 480\n\
# dim[0].stride = 3*640*480 = 921600  (note dim[0] stride is just size of image)\n\
# dim[1].label  = \"width\"\n\
# dim[1].size   = 640\n\
# dim[1].stride = 3*640 = 1920\n\
# dim[2].label  = \"channel\"\n\
# dim[2].size   = 3\n\
# dim[2].stride = 3\n\
#\n\
# multiarray(i,j,k) refers to the ith row, jth column, and kth channel.\n\
================================================================================\n\
MSG: std_msgs/MultiArrayDimension\n\
string label   # label of given dimension\n\
uint32 size    # size of given dimension (in type units)\n\
uint32 stride  # stride of given dimension\n\
";
  }

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

} // namespace message_traits
} // namespace ros


namespace ros
{
namespace message_traits
{
template<class ContainerAllocator> struct IsMessage< ::iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator> > : public TrueType {};
template<class ContainerAllocator> struct IsMessage< ::iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator>  const> : public TrueType {};
template<class ContainerAllocator>
struct MD5Sum< ::iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "41201d22b68db0e3152abe1a8e7c9281";
  }

  static const char* value(const  ::iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator> &) { return value(); } 
  static const uint64_t static_value1 = 0x41201d22b68db0e3ULL;
  static const uint64_t static_value2 = 0x152abe1a8e7c9281ULL;
};

template<class ContainerAllocator>
struct DataType< ::iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_leaf_fitting/GetConfidenceLeafFittingResponse";
  }

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

template<class ContainerAllocator>
struct Definition< ::iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "\n\
std_msgs/UInt32MultiArray fit_score_list\n\
\n\
\n\
================================================================================\n\
MSG: std_msgs/UInt32MultiArray\n\
# Please look at the MultiArrayLayout message definition for\n\
# documentation on all multiarrays.\n\
\n\
MultiArrayLayout  layout        # specification of data layout\n\
uint32[]          data          # array of data\n\
\n\
\n\
================================================================================\n\
MSG: std_msgs/MultiArrayLayout\n\
# The multiarray declares a generic multi-dimensional array of a\n\
# particular data type.  Dimensions are ordered from outer most\n\
# to inner most.\n\
\n\
MultiArrayDimension[] dim # Array of dimension properties\n\
uint32 data_offset        # padding bytes at front of data\n\
\n\
# Accessors should ALWAYS be written in terms of dimension stride\n\
# and specified outer-most dimension first.\n\
# \n\
# multiarray(i,j,k) = data[data_offset + dim_stride[1]*i + dim_stride[2]*j + k]\n\
#\n\
# A standard, 3-channel 640x480 image with interleaved color channels\n\
# would be specified as:\n\
#\n\
# dim[0].label  = \"height\"\n\
# dim[0].size   = 480\n\
# dim[0].stride = 3*640*480 = 921600  (note dim[0] stride is just size of image)\n\
# dim[1].label  = \"width\"\n\
# dim[1].size   = 640\n\
# dim[1].stride = 3*640 = 1920\n\
# dim[2].label  = \"channel\"\n\
# dim[2].size   = 3\n\
# dim[2].stride = 3\n\
#\n\
# multiarray(i,j,k) refers to the ith row, jth column, and kth channel.\n\
================================================================================\n\
MSG: std_msgs/MultiArrayDimension\n\
string label   # label of given dimension\n\
uint32 size    # size of given dimension (in type units)\n\
uint32 stride  # stride of given dimension\n\
";
  }

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

} // namespace message_traits
} // namespace ros

namespace ros
{
namespace serialization
{

template<class ContainerAllocator> struct Serializer< ::iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator> >
{
  template<typename Stream, typename T> inline static void allInOne(Stream& stream, T m)
  {
    stream.next(m.num_clusters);
    stream.next(m.cluster_labels);
  }

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


namespace ros
{
namespace serialization
{

template<class ContainerAllocator> struct Serializer< ::iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator> >
{
  template<typename Stream, typename T> inline static void allInOne(Stream& stream, T m)
  {
    stream.next(m.fit_score_list);
  }

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

namespace ros
{
namespace service_traits
{
template<>
struct MD5Sum<iri_leaf_fitting::GetConfidenceLeafFitting> {
  static const char* value() 
  {
    return "0d9578dd9e7a1c5d9ad219f185d38c6d";
  }

  static const char* value(const iri_leaf_fitting::GetConfidenceLeafFitting&) { return value(); } 
};

template<>
struct DataType<iri_leaf_fitting::GetConfidenceLeafFitting> {
  static const char* value() 
  {
    return "iri_leaf_fitting/GetConfidenceLeafFitting";
  }

  static const char* value(const iri_leaf_fitting::GetConfidenceLeafFitting&) { return value(); } 
};

template<class ContainerAllocator>
struct MD5Sum<iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "0d9578dd9e7a1c5d9ad219f185d38c6d";
  }

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

template<class ContainerAllocator>
struct DataType<iri_leaf_fitting::GetConfidenceLeafFittingRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_leaf_fitting/GetConfidenceLeafFitting";
  }

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

template<class ContainerAllocator>
struct MD5Sum<iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "0d9578dd9e7a1c5d9ad219f185d38c6d";
  }

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

template<class ContainerAllocator>
struct DataType<iri_leaf_fitting::GetConfidenceLeafFittingResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_leaf_fitting/GetConfidenceLeafFitting";
  }

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

} // namespace service_traits
} // namespace ros

#endif // IRI_LEAF_FITTING_SERVICE_GETCONFIDENCELEAFFITTING_H