#include "inspectable.h"#include "types.h"Include dependency graph for printInternals.h:

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.
Functions | |
| void | printInternalParameterNames (FILE *f, int sensornumber, int motornumber, std::list< const Inspectable * > inspectables) |
| prints the names of the sensor and motor channels and the names of the internal parameters of all inspectable object to the given file (stream) (Headline) | |
| void | printInternalParameters (FILE *f, double time, const sensor *x, int sensornumber, const motor *y, int motornumber, std::list< const Inspectable * > inspectables) |
| prints the values of the motors and sensors and the internal parameters of the inspectable objects to a file or stream | |
| void | printNetworkDescription (FILE *f, const std::string &name, const Inspectable *inspectable) |
| prints a network description of the structure given by the inspectable object. | |
| void printInternalParameterNames | ( | FILE * | f, | |
| int | sensornumber, | |||
| int | motornumber, | |||
| std::list< const Inspectable * > | inspectables | |||
| ) |
prints the names of the sensor and motor channels and the names of the internal parameters of all inspectable object to the given file (stream) (Headline)
| void printInternalParameters | ( | FILE * | f, | |
| double | time, | |||
| const sensor * | x, | |||
| int | sensornumber, | |||
| const motor * | y, | |||
| int | motornumber, | |||
| std::list< const Inspectable * > | inspectables | |||
| ) |
prints the values of the motors and sensors and the internal parameters of the inspectable objects to a file or stream
| void printNetworkDescription | ( | FILE * | f, | |
| const std::string & | name, | |||
| const Inspectable * | inspectable | |||
| ) |
prints a network description of the structure given by the inspectable object.
The network description syntax is as follow
#N neural_net NETWORKNAME #N layer LAYERNAME1 RANK? #N neuron N0 BIASN0? #N neuron N1 BIASN1? #N layer LAYERNAME2 RANK? #N neuron K0 BIASK0? #N neuron K1 BIASK1? ... #N connection C00 N0 K0 #N connection C10 N0 K1 #N connection C01 N1 K0 #N connection C11 N1 K1 ... #N nn_end
1.4.7