source: cpp/frams/genetics/f1/f1_conv.h @ 1300

Last change on this file since 1300 was 1258, checked in by Maciej Komosinski, 19 months ago

f1->f0 conversion settings: modifier compatibility, 'C' and 'Q' modifier influence, bending muscle default range

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1// This file is a part of Framsticks SDK.  http://www.framsticks.com/
2// Copyright (C) 1999-2023  Maciej Komosinski and Szymon Ulatowski.
3// See LICENSE.txt for details.
4
5#ifndef _F1_CONV_H_
6#define _F1_CONV_H_
7
8#include <frams/genetics/genoconv.h>
9#include <frams/model/model.h>
10
11/**
12 Official Framsticks f1 -> f0 converter.
13 Source code is published as educational example, but currently not
14 well documented.
15 This converter features building creature using Model class
16 and some advanced tricks (changing model data during construction).
17 Final f0 genotype is generated by model class.
18
19 <b>SDK 1.0.5 NN extension: (for Framsticks 2.0)</B>
20
21 Until now, only the "standard" Framsticks v1 neuron classes could be used.
22 Starting with SDK 1.0.5 you can use all neuron types.
23
24 \b Syntax: [classname , input_or_parameter:weight , input_or_parameter:weight , ...]
25
26 The classname is optional, the default class will be used if it is omitted.
27 Note the comma after \b classname. It must be present if you provide the classname.
28 This is to distinguish between old muscle syntax and new classname specification:
29 - "[|,0:1]" is the neuron of class "|" (bend muscle) with one self connection.
30 \image html nn-ex1.gif
31 - "[|0:1]" describes the default neuron class (N) connected with the bend muscle (|).
32 \image html nn-ex2.gif
33
34
35 Neuron parameters can be specified along with inputs, eg: "[myclass,param1:34,param2:56]"
36 The names beginning with UPPER case character are assumed to be neuron classes.
37 "[myclass,g:1.23,G:2.34]" - the first 'g' is the parameter, the second one is the receptor
38 G ("gyroscope").
39
40 Another example:
41
42 "X[G][-1:2.3][-2:3.4]" - The first neuron is the standalone G receptor. Other neuron can use its output
43 signal by specifying it as regular input ("-1:2.3" and "-2:3.4"). This NN contains 3 neurons.
44 \image html nn-ex3.gif
45
46 "X[G:2.3][G:3.4]" - with the old syntax it is impossible to connect 2 neurons with the same gyroscope,
47 because everything inside brackets is private to the neuron, others can't refer to it.
48 Adding another neuron with "G" input will add another gyroscope object. This NN contains 4 neurons
49 (or 2 neurons if you try it in Framsticks v1).
50 \image html nn-ex4.gif
51
52 */
53
54struct GenoConv_f1_Settings
55{
56        paInt modifier_compatibility, cq_mod_influence, branch_muscle_range;
57
58        static constexpr int MODIF_COMPAT_LEGACY = 0;
59        static constexpr int MODIF_COMPAT_ALL_CHANGE_05 = 1;
60
61        static constexpr int CQ_INFLUENCE_OLD = 0;
62        static constexpr int CQ_INFLUENCE_NEW = 1;
63
64        static constexpr int MUSCLE_RANGE_ORIGINAL = 0;
65        static constexpr int MUSCLE_RANGE_STRICT = 1;
66        static constexpr int MUSCLE_RANGE_UNLIMITED = 2;
67};
68
69class GenoConv_f1 : public GenoConverter
70{
71public:
72        GenoConv_f1();
73        SString convert(SString &i, MultiMap *map, bool using_checkpoints);
74        ~GenoConv_f1() {}
75
76        GenoConv_f1_Settings settings;
77
78        Param param;
79        ParamInterface* getParam() { return &param; }
80};
81
82
83#endif
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