[286] | 1 | // This file is a part of Framsticks SDK. http://www.framsticks.com/ |
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[534] | 2 | // Copyright (C) 1999-2016 Maciej Komosinski and Szymon Ulatowski. |
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[286] | 3 | // See LICENSE.txt for details. |
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[121] | 4 | |
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[109] | 5 | #include <stdlib.h> |
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| 6 | #include <stdio.h> |
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| 7 | #include <time.h> |
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[382] | 8 | #include <common/virtfile/stdiofile.h> |
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[109] | 9 | |
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[145] | 10 | #include <frams/genetics/defgenoconv.h> |
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[109] | 11 | #include <frams/model/model.h> |
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[391] | 12 | #include <common/loggers/loggertostdout.h> |
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[109] | 13 | |
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| 14 | void save_as_f0(SString &gen,Model &m,bool omit_default_values) |
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| 15 | { |
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| 16 | // copied from Model::makeGeno() (with small changes) |
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| 17 | |
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| 18 | static Param modelparam(f0_model_paramtab); |
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| 19 | static Param partparam(f0_part_paramtab); |
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| 20 | static Param jointparam(f0_joint_paramtab); |
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| 21 | static Param neuroparam(f0_neuro_paramtab); |
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| 22 | static Param connparam(f0_neuroconn_paramtab); |
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| 23 | |
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| 24 | static Part defaultpart; |
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| 25 | static Joint defaultjoint; |
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| 26 | static Neuro defaultneuro; |
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| 27 | static Model defaultmodel; |
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| 28 | static NeuroConn defaultconn; |
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| 29 | |
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| 30 | modelparam.select(&m); |
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| 31 | gen+="m:"; |
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[720] | 32 | modelparam.saveSingleLine(gen,omit_default_values ? &defaultmodel : NULL); |
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[109] | 33 | |
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| 34 | Part *p; |
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| 35 | Joint *j; |
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| 36 | Neuro *n; |
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| 37 | |
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| 38 | for (int i=0;p=(Part*)m.getPart(i);i++) |
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| 39 | { |
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| 40 | partparam.select(p); |
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| 41 | gen+="p:"; |
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[720] | 42 | partparam.saveSingleLine(gen,omit_default_values ? &defaultpart : NULL); |
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[109] | 43 | } |
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| 44 | for (int i=0;j=(Joint*)m.getJoint(i);i++) |
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| 45 | { |
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| 46 | jointparam.select(j); |
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| 47 | jointparam.setParamTab(j->usedelta?f0_joint_paramtab:f0_nodeltajoint_paramtab); |
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| 48 | gen+="j:"; |
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[720] | 49 | jointparam.saveSingleLine(gen,omit_default_values ? &defaultjoint : NULL); |
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[109] | 50 | } |
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| 51 | for (int i=0;n=(Neuro*)m.getNeuro(i);i++) |
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| 52 | { |
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| 53 | neuroparam.select(n); |
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| 54 | gen+="n:"; |
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[720] | 55 | neuroparam.saveSingleLine(gen,omit_default_values ? &defaultneuro : NULL); |
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[109] | 56 | } |
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| 57 | for (int a=0;n=(Neuro*)m.getNeuro(a);a++) |
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| 58 | { // inputs |
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| 59 | for (int b=0;b<n->getInputCount();b++) |
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| 60 | { |
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| 61 | double w; |
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| 62 | NeuroConn nc; |
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| 63 | Neuro* n2=n->getInput(b,w); |
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| 64 | nc.n1_refno=n->refno; nc.n2_refno=n2->refno; |
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| 65 | nc.weight=w; |
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| 66 | nc.info=n->getInputInfo(b); |
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| 67 | connparam.select(&nc); |
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| 68 | gen+="c:"; |
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[720] | 69 | connparam.saveSingleLine(gen,omit_default_values ? &defaultconn : NULL); |
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[109] | 70 | } |
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| 71 | } |
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| 72 | } |
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| 73 | |
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| 74 | int main(int argc,char*argv[]) |
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| 75 | { |
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[375] | 76 | LoggerToStdout messages_to_stdout(LoggerBase::Enable); |
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[145] | 77 | |
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| 78 | //without converters the application would only handle "format 0" genotypes |
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| 79 | DefaultGenoConvManager gcm; |
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| 80 | gcm.addDefaultConverters(); |
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[348] | 81 | Geno::useConverters(&gcm); |
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[145] | 82 | |
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[348] | 83 | Geno::Validators validators; |
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| 84 | Geno::useValidators(&validators); |
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[145] | 85 | ModelGenoValidator model_validator; |
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[348] | 86 | validators+=&model_validator; //This simple validator handles all cases where a converter for a particular format is available but there is no genetic operator. Converters may be less strict in detecting invalid genotypes but it is better than nothing |
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[145] | 87 | |
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[109] | 88 | SString gen(argc>1?argv[1]:"X[|G:1.23]"); |
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[348] | 89 | if (!strcmp(gen.c_str(),"-")) |
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[109] | 90 | { |
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| 91 | gen=0; |
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| 92 | StdioFILEDontClose in(stdin); |
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| 93 | loadSString(&in,gen); |
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| 94 | } |
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| 95 | Geno g(gen); |
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[534] | 96 | printf("\nSource genotype: '%s'\n",g.getGenes().c_str()); |
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[109] | 97 | printf(" ( format %c %s)\n", |
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[348] | 98 | g.getFormat(), g.getComment().c_str()); |
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[109] | 99 | |
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| 100 | Model m(g);//.getConverted('0')); |
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| 101 | |
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| 102 | if (!m.isValid()) |
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| 103 | { |
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| 104 | printf("Cannot build Model from this genotype!\n"); |
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| 105 | return 2; |
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| 106 | } |
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| 107 | |
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[720] | 108 | printf("\nthis example shows how to save a f0 genotype using low-level ParamInterface::saveSingleLine() calls\n"); |
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[109] | 109 | |
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| 110 | SString f0_skipping_defaults; |
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| 111 | SString f0_no_skipping_defaults; |
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| 112 | |
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| 113 | save_as_f0(f0_skipping_defaults,m,true); |
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| 114 | save_as_f0(f0_no_skipping_defaults,m,false); |
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| 115 | |
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[348] | 116 | printf("\n==== with defdata (skips default values) ======\n%s\n",f0_skipping_defaults.c_str()); |
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| 117 | printf("\n==== without defdata (saves all fields) ======\n%s\n",f0_no_skipping_defaults.c_str()); |
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[109] | 118 | |
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| 119 | return 0; |
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| 120 | } |
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| 121 | |
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| 122 | /*********************** EXAMPLE OUTPUT ********************************* |
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| 123 | |
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| 124 | Source genotype: 'X[|G:1.23]' |
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| 125 | ( format 1 ) |
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| 126 | |
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[720] | 127 | this example shows how to save a f0 genotype using low-level ParamInterface::saveSingleLine() calls |
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[109] | 128 | |
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| 129 | ==== with defdata (skips default values) ====== |
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| 130 | m: |
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| 131 | p: |
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| 132 | p:1 |
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| 133 | j:0, 1, dx=1 |
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| 134 | n:p=1, d=N |
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| 135 | n:j=0, d="|:p=0.25,r=1" |
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| 136 | n:j=0, d=G |
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| 137 | c:0, 2, 1.23 |
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| 138 | c:1, 0 |
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| 139 | |
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| 140 | |
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| 141 | ==== without defdata (saves all fields) ====== |
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| 142 | m:se=1, Vstyle= |
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| 143 | p:0, 0, 0, m=1, s=1, dn=1, fr=0.4, ing=0.25, as=0.25, rx=0, 0, 0, i=, Vstyle=part |
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| 144 | p:1, 0, 0, m=1, s=1, dn=1, fr=0.4, ing=0.25, as=0.25, rx=0, 0, 0, i=, Vstyle=part |
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| 145 | j:0, 1, rx=0, 0, 0, dx=1, 0, 0, stif=1, rotstif=1, stam=0.25, i=, Vstyle=joint |
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| 146 | n:p=1, j=-1, d=N, i=, Vstyle=neuro |
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| 147 | n:p=-1, j=0, d="|:p=0.25,r=1", i=, Vstyle=neuro |
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| 148 | n:p=-1, j=0, d=G, i=, Vstyle=neuro |
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| 149 | c:0, 2, 1.23, i= |
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| 150 | c:1, 0, 1, i= |
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| 151 | |
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| 152 | *************************************************************************/ |
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| 153 | |
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