source: java/main/src/main/resources/parsers/f0def.xml @ 90

Last change on this file since 90 was 90, checked in by psniegowski, 11 years ago

HIGHLIGHTS:

CHANGELOG:
Make ProcedureParam? hold only ValueParams?.

Use id instead of names when naming gui components internally.

Basic procedure calling in GUI.

The actual procedure call is currently only backed
by the ObjectInstance?.

Add UnimplementedException?.

Improve naming of various gui elements.

Allow easy navigating in FEST Swing testing.

Add optional explicit order attribute to FramsClassAnnotation?.

That's because java reflection does return declared members
in any specific order. That ordering is needed only for
classes that have no representation in framsticks and need
a deterministic ordering of params.

Add ControlOwner? interface.

Add test for procedure calling in Browser.

First version of ParamAnnotation? for procedures.

Development of ProcedureParam?.

Add draft version of ProcedureParam? implementation in ReflectionAccess?.

Allow viewing FramsClasses? in gui Browser.

Extract ResourceBuilder? from ModelBuilder?.

Remove internalId from Param.

It was currently completely not utilised. Whether it is still needed
after introduction of ParamAnnotation? is arguable.

Add remaining param attributes to ParamAnnotation?.

Change AutoBuilder? semantics.

AutoBuilder? returns list of objects that are to be appended
with methods @AutoAppendAnnotation?.

This allows to omit explicit addition of ModelPackage? to instance
if the instance uses ModelBuilder? (registration of ModelPackage? comes
from schema).

Fix params ordering problem in auto created FramsClasses?.

Improve ObjectInstance?.

Several fixes to ModelBuilder?.

Improve test for ObjectInstance? in Browser.

Make initialization of robot static.

With robot recreated for second browser test, the test hanged
deep in AWT.

Add base convenience base test for Browser tests.

More tests to ObjectInstance?.

Rename Dispatcher.invokeLater() to dispatch().

Add assertDispatch.

It allows assertions in other threads, than TestNGInvoker.
Assertions are gathered after each method invocation and rethrown.

Use timeOut annotation attribute for tests involving some waiting.

Remove firstTask method (merge with joinableStart).

Clean up leftovers.

Remove unused FavouritesXMLFactory (the reading part is already
completely done with generic XmlLoader?, and writing part will be done
based on the same approach if needed).
Move UserFavourite? to the com.framsticks.gui.configuration package.

Remove GenotypeBrowser? as to specific.

This functionality will be available in ObjectInstance?.

Add interface ParamsPackage?.

Package containing registration of Java classes meant to use with
ReflectionAccess? may be in Instance using configuration.

Minor changes.

Make Group immutable.

Add AutoBuilder? interface extending Builder - only those would
be used to automatically build from XML.

Fix groups in FramsClass?.

Minor naming cleanup in Registry.

Add ModelComponent? interface.

All class creating the Model are implementing that interface.

Extract Model.build into ModelBuilder?.

ModelBuilder? will be compatible with other builders
and allow using it from configuration.

Fix NeuroConnection?.

Add synchronous get operation for dispatchers.

Rename JoinableMonitor? to Monitor.

Add ObjectInstance?.

This class is mainly for demonstration
and testing purposes.

Improve FramsServer? runner.

  • improve ExternalProcess? runner,
  • runner can kill the server but also react properly, when the server exists on it's own,
  • set default path to search for framsticks server installation,
  • add LoggingOutputListener?.
File size: 13.8 KB
Line 
1<!DOCTYPE F0CLASSES>
2<F0CLASSES>
3
4 <CLASS ID="m" NAME="Model">
5  <GROUP NAME="Properties" />
6  <GROUP NAME="Visual" />
7  <GROUP NAME="Elements" />
8  <PROP ID="se" NAME="startenergy" GROUP="0" FLAGS="0" TYPE="f" DEF="1.0" />
9  <PROP ID="Vstyle" NAME="vis_style" GROUP="1" FLAGS="0" TYPE="s" MIN="0" MAX="-1" DEF="" />
10  <PROP ID="parts" NAME="parts" GROUP="2" FLAGS="0" TYPE="l Part" />
11  <PROP ID="joints" NAME="joints" GROUP="2" FLAGS="0" TYPE="l Joint" />
12  <PROP ID="neurodefs" NAME="neurodefs" GROUP="2" FLAGS="0" TYPE="l NeuroDef" />
13  <PROP ID="neuroconns" NAME="neuroconns" GROUP="2" FLAGS="0" TYPE="l NeuroConn" />
14 </CLASS>
15
16 <CLASS ID="p" NAME="Part">
17  <GROUP NAME="Geometry" />
18  <GROUP NAME="Other properties" />
19  <GROUP NAME="Visual" />
20  <PROP ID="x" NAME="position.x" GROUP="0" FLAGS="1024" TYPE="f" />
21  <PROP ID="y" NAME="position.y" GROUP="0" FLAGS="1024" TYPE="f" />
22  <PROP ID="z" NAME="position.z" GROUP="0" FLAGS="1024" TYPE="f" />
23  <PROP ID="m" XTRA="1" NAME="mass" GROUP="1" FLAGS="0" TYPE="f" MIN="0.1" MAX="999.0" DEF="1.0" />
24  <PROP ID="s" NAME="size" GROUP="1" FLAGS="0" TYPE="f" MIN="0.1" MAX="10.0" DEF="1.0" />
25  <PROP ID="dn" XTRA="1" NAME="density" GROUP="1" FLAGS="0" TYPE="f" MIN="0.2" MAX="5.0" DEF="1.0" />
26  <PROP ID="fr" XTRA="1" NAME="friction" GROUP="1" FLAGS="0" TYPE="f" MIN="0.0" MAX="4.0" DEF="0.4" />
27  <PROP ID="ing" XTRA="1" NAME="ingestion" GROUP="1" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.25" />
28  <PROP ID="as" XTRA="1" NAME="assimilation" GROUP="1" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.25" />
29  <PROP ID="rx" NAME="rot.x" GROUP="0" FLAGS="0" TYPE="f" />
30  <PROP ID="ry" NAME="rot.y" GROUP="0" FLAGS="1024" TYPE="f" />
31  <PROP ID="rz" NAME="rot.z" GROUP="0" FLAGS="1024" TYPE="f" />
32  <PROP ID="i" NAME="info" GROUP="1" FLAGS="0" TYPE="s" />
33  <PROP ID="Vstyle" NAME="vis_style" GROUP="2" FLAGS="0" TYPE="s" MIN="0" MAX="-1" DEF="part" />
34 </CLASS>
35
36 <CLASS ID="j" NAME="Joint">
37  <GROUP NAME="Connections" />
38  <GROUP NAME="Geometry" />
39  <GROUP NAME="Other properties" />
40  <GROUP NAME="Visual" />
41  <PROP ID="p1" NAME="part1 ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
42  <PROP ID="p2" NAME="part2 ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
43  <PROP ID="rx" NAME="rotation.x" GROUP="1" FLAGS="0" TYPE="f" />
44  <PROP ID="ry" NAME="rotation.y" GROUP="1" FLAGS="1024" TYPE="f" />
45  <PROP ID="rz" NAME="rotation.z" GROUP="1" FLAGS="1024" TYPE="f" />
46  <PROP ID="dx" NAME="delta.x" GROUP="1" FLAGS="0" TYPE="f" MIN="-2" MAX="2" DEF="0" />
47  <PROP ID="dy" NAME="delta.y" GROUP="1" FLAGS="1024" TYPE="f" MIN="-2" MAX="2" DEF="0" />
48  <PROP ID="dz" NAME="delta.z" GROUP="1" FLAGS="1024" TYPE="f" MIN="-2" MAX="2" DEF="0" />
49  <PROP ID="stif" XTRA="1" NAME="stiffness" GROUP="2" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
50  <PROP ID="rotstif" XTRA="1" NAME="rotation stiffness" GROUP="2" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
51  <PROP ID="stam" NAME="stamina" GROUP="2" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.25" />
52  <PROP ID="i" NAME="info" GROUP="2" FLAGS="0" TYPE="s" />
53  <PROP ID="Vstyle" NAME="vis_style" GROUP="3" FLAGS="0" TYPE="s" MIN="0" MAX="-1" DEF="joint" />
54 </CLASS>
55
56
57
58 <CLASS ID="n" NAME="NeuroDef">
59  <GROUP NAME="Connections" />
60  <GROUP NAME="Other" />
61  <GROUP NAME="Visual" />
62  <PROP ID="p" NAME="part ref#" GROUP="0" FLAGS="0" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
63  <PROP ID="j" NAME="joint ref#" GROUP="0" FLAGS="0" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
64  <PROP ID="d" NAME="item details" GROUP="1" FLAGS="0" TYPE="s" DEF="N"/>
65  <PROP ID="i" NAME="info" GROUP="1" FLAGS="0" TYPE="s" />
66  <PROP ID="Vstyle" NAME="vis_style" GROUP="2" FLAGS="0" TYPE="s" MIN="0" MAX="-1" />
67  <!--PROP ID="getInputCount" NAME="input count" GROUP="0" FLAGS="1+2" TYPE="d" /-->
68  <!--PROP ID="getInputNeuroDef" NAME="get input neuron" GROUP="0" FLAGS="1+2" TYPE="p oNeuroDef(d)" /-->
69  <!--PROP ID="getInputNeuroIndex" NAME="get input neuron index" GROUP="0" FLAGS="1+2" TYPE="p d(d)" /-->
70  <!--PROP ID="getInputWeight" NAME="get input weight" GROUP="0" FLAGS="1+2" TYPE="p f(d)" /-->
71  <!--PROP ID="classObject" NAME="neuron class" GROUP="0" FLAGS="1+2" TYPE="o NeuroClass" /-->
72 </CLASS>
73
74 <CLASS ID="c" NAME="NeuroConn">
75  <GROUP NAME="Connection" />
76  <GROUP NAME="Other" />
77  <PROP ID="n1" NAME="this neuro ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
78  <PROP ID="n2" NAME="connected neuro ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
79  <PROP ID="w" NAME="weight" GROUP="0" FLAGS="1024" TYPE="f" MIN="-999999" MAX="999999" DEF="1.0" />
80  <PROP ID="i" NAME="info" GROUP="1" FLAGS="0" TYPE="s" />
81 </CLASS>
82
83 <NEUROCLASS ID="N" NAME="Neuron" DESCRIPTION="Standard neuron" INPUTS="-1" OUTPUT="1" LOCATION="0"  VISUALHINTS="2"  >
84
85  <NEUROPROP ID="in" NAME="Inertia" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.8" />
86  <NEUROPROP ID="fo" NAME="Force" TYPE="f" MIN="0.0" MAX="999.0" DEF="0.04" />
87  <NEUROPROP ID="si" NAME="Sigmoid" TYPE="f" MIN="-99999.0" MAX="99999.0" DEF="2.0" />
88  <NEUROPROP ID="s" NAME="State" TYPE="f" MIN="-1.0" MAX="1.0" DEF="0.0" />
89 </NEUROCLASS>
90
91 <NEUROCLASS ID="Nu" NAME="Unipolar neuron [EXPERIMENTAL!]" DESCRIPTION="Works like standard neuron (N) but the output value is scaled to 0...+1 instead of -1...+1.\nHaving 0 as one of the saturation states should help in &quot;gate circuits&quot;, where input signal is passed through or blocked depending on the other singal." INPUTS="-1" OUTPUT="1" LOCATION="0"  >
92  <NEUROPROP ID="in" NAME="Inertia" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.8" />
93  <NEUROPROP ID="fo" NAME="Force" TYPE="f" MIN="0.0" MAX="999.0" DEF="0.04" />
94  <NEUROPROP ID="si" NAME="Sigmoid" TYPE="f" MIN="-99999.0" MAX="99999.0" DEF="2.0" />
95  <NEUROPROP ID="s" NAME="State" TYPE="f" MIN="-1.0" MAX="1.0" DEF="0.0" />
96 </NEUROCLASS>
97
98 <NEUROCLASS ID="G" NAME="Gyroscope" DESCRIPTION="Equilibrium sensor.\n0=the stick is horizontal\n+1/-1=the stick is vertical" INPUTS="0" OUTPUT="1" LOCATION="2"  VISUALHINTS="32"  SYMBOL="8,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,12,43,24,48,24,48,19,38,19,38,24,43,24,43,54,48,54,48,64,43,69,38,64,38,54,43,54,5,63,69,58,74,48,79,38,79,28,74,23,69,1,43,79,43,74,1,23,69,26,66,1,63,69,60,66,1,55,76,53,73,1,31,75,33,72"  >
99
100
101 </NEUROCLASS>
102
103 <NEUROCLASS ID="T" NAME="Touch" DESCRIPTION="Touch sensor.\n-1=no contact\n0=just touching\n>0=pressing, value depends on the force applied" INPUTS="0" OUTPUT="1" LOCATION="1"  VISUALHINTS="32"  SYMBOL="2,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,11,75,50,65,50,60,55,55,45,50,55,45,45,40,50,35,50,30,45,25,50,30,55,35,50"  >
104
105
106  <NEUROPROP ID="r" NAME="Range" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
107 </NEUROCLASS>
108
109 <NEUROCLASS ID="S" NAME="Smell" DESCRIPTION="Smell sensor. Aggregated &quot;smell of energy&quot; experienced from all energy objects (creatures and food pieces).\nClose objects have bigger influence than the distant ones: for each energy source, its partial feeling is proportional to its energy/(distance^2)" INPUTS="0" OUTPUT="1" LOCATION="1"  VISUALHINTS="32"  SYMBOL="5,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,3,10,40,15,45,15,55,10,60,5,20,30,25,35,30,45,30,55,25,65,20,70,4,15,35,20,40,22,50,20,60,15,65,5,75,50,50,50,45,45,40,50,45,55,50,50"  >
110
111
112 </NEUROCLASS>
113
114 <NEUROCLASS ID="*" NAME="Constant" DESCRIPTION="Constant value" INPUTS="0" OUTPUT="1" LOCATION="0"  VISUALHINTS="1"  SYMBOL="4,4,26,27,26,73,73,73,73,27,26,27,1,73,50,100,50,1,56,68,46,68,2,41,47,51,32,51,68"  >
115
116
117 </NEUROCLASS>
118
119 <NEUROCLASS ID="|" NAME="Bend muscle" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="2"  VISUALHINTS="86"  SYMBOL="6,5,25,40,35,40,45,50,35,60,25,60,25,40,4,65,85,65,50,75,50,75,85,65,85,3,65,56,49,29,57,24,72,50,4,68,53,70,53,70,55,68,55,68,53,5,50,21,60,15,70,14,79,15,87,20,81,10,1,86,20,77,21"  >
120
121
122  <NEUROPROP ID="p" NAME="power" TYPE="f" MIN="0.01" MAX="1.0" DEF="0.25" />
123  <NEUROPROP ID="r" NAME="bending range" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
124 </NEUROCLASS>
125
126 <NEUROCLASS ID="@" NAME="Rotation muscle" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="2"  VISUALHINTS="150"  SYMBOL="5,5,25,40,35,40,45,50,35,60,25,60,25,40,4,65,85,65,50,75,50,75,85,65,85,1,69,10,77,17,10,59,15,57,17,57,22,60,26,69,27,78,26,82,21,82,16,79,12,69,10,80,6,3,65,50,65,20,75,20,75,50"  >
127
128
129  <NEUROPROP ID="p" NAME="power" TYPE="f" MIN="0.01" MAX="1.0" DEF="1.0" />
130 </NEUROCLASS>
131
132 <NEUROCLASS ID="D" NAME="Differentiate" DESCRIPTION="Calculate the difference between the current and previous input value. Multiple inputs are aggregated with respect to their weights" INPUTS="-1" OUTPUT="1" LOCATION="0"  SYMBOL="3,3,25,0,25,100,75,50,25,0,1,75,50,100,50,3,44,42,51,57,36,57,44,42"  >
133
134 </NEUROCLASS>
135
136 <NEUROCLASS ID="Fuzzy" NAME="Fuzzy system [EXPERIMENTAL!]" DESCRIPTION="Refer to publications to learn more about this neuron." INPUTS="-1" OUTPUT="1" LOCATION="0"  SYMBOL="5,2,30,65,37,37,44,65,3,37,65,44,37,51,37,58,65,2,51,65,58,37,65,65,6,100,50,70,50,70,25,25,10,25,90,70,75,70,50,1,70,65,25,65"  >
137
138  <NEUROPROP ID="ns" NAME="number of fuzzy sets" TYPE="d" MIN="1" MAX="" DEF="" />
139  <NEUROPROP ID="nr" NAME="number of rules" TYPE="d" MIN="1" MAX="" DEF="" />
140  <NEUROPROP ID="fs" NAME="fuzzy sets" TYPE="s" MIN="0" MAX="-1" DEF="0" />
141  <NEUROPROP ID="fr" NAME="fuzzy rules" TYPE="s" MIN="0" MAX="-1" DEF="0" />
142 </NEUROCLASS>
143
144 <NEUROCLASS ID="VEye" NAME="Vector Eye [EXPERIMENTAL!]" DESCRIPTION="Refer to publications to learn more about this neuron." INPUTS="1" OUTPUT="1" LOCATION="1"  SYMBOL="11,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,14,70,50,65,40,60,35,45,30,30,30,15,35,10,40,5,50,10,60,15,65,30,70,45,70,60,65,65,60,70,50,8,38,67,28,62,23,52,28,42,38,37,48,42,53,52,48,62,38,67,4,33,52,38,47,43,52,38,57,33,52,5,70,50,60,40,45,35,30,35,15,40,5,50,1,53,33,58,22,1,62,36,68,26,1,45,30,47,19,1,35,30,35,19,1,27,31,24,20,1,18,34,12,24"  >
145
146  <NEUROPROP ID="tx" NAME="target.x" TYPE="f" MIN="" MAX="" DEF="" />
147  <NEUROPROP ID="ty" NAME="target.y" TYPE="f" MIN="" MAX="" DEF="" />
148  <NEUROPROP ID="tz" NAME="target.z" TYPE="f" MIN="" MAX="" DEF="" />
149  <NEUROPROP ID="ts" NAME="target shape" TYPE="s" MIN="0" MAX="-1" DEF="0" />
150  <NEUROPROP ID="p" NAME="perspective" TYPE="f" MIN="0.1" MAX="10.0" DEF="1.0" />
151  <NEUROPROP ID="s" NAME="scale" TYPE="f" MIN="0.1" MAX="100.0" DEF="1.0" />
152  <NEUROPROP ID="h" NAME="show hidden lines" TYPE="d" MIN="0" MAX="1" DEF="0" />
153  <NEUROPROP ID="o" NAME="output lines count (each line needs four channels)" TYPE="d" MIN="0" MAX="99" DEF="0" />
154  <NEUROPROP ID="d" NAME="debug" TYPE="d" MIN="0" MAX="1" DEF="0" />
155 </NEUROCLASS>
156
157 <NEUROCLASS ID="VMotor" NAME="Visual-Motor Cortex [EXPERIMENTAL!]" DESCRIPTION="Must be connected to the VEye and properly set up. Refer to publications to learn more about this neuron." INPUTS="-1" OUTPUT="1" LOCATION="0"  >
158  <NEUROPROP ID="noIF" NAME="number of basic features" TYPE="d" MIN="" MAX="" DEF="" />
159  <NEUROPROP ID="noDim" NAME="number of degrees of freedom" TYPE="d" MIN="" MAX="" DEF="" />
160  <NEUROPROP ID="params" NAME="parameters" TYPE="s" MIN="" MAX="" DEF="" />
161 </NEUROCLASS>
162
163 <NEUROCLASS ID="Sti" NAME="Sticky [EXPERIMENTAL!]" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="1"  VISUALHINTS="16"  >
164
165 </NEUROCLASS>
166
167 <NEUROCLASS ID="LMu" NAME="Linear muscle [EXPERIMENTAL!]" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="2"  VISUALHINTS="16"  >
168
169  <NEUROPROP ID="p" NAME="power" TYPE="f" MIN="0.01" MAX="1.0" DEF="1.0" />
170 </NEUROCLASS>
171
172 <NEUROCLASS ID="Water" NAME="Water detector" DESCRIPTION="Output signal:\n0=on or above water surface\n1=under water (deeper than 1)\n0..1=in the transient area just below water surface" INPUTS="0" OUTPUT="1" LOCATION="1"  VISUALHINTS="32"  >
173
174 </NEUROCLASS>
175
176 <NEUROCLASS ID="Energy" NAME="Energy level" DESCRIPTION="The current energy level divided by the initial energy level.\nUsually falls from initial 1.0 down to 0.0 and then the creature dies. It can rise above 1.0 if enough food is ingested" INPUTS="0" OUTPUT="1" LOCATION="0"  VISUALHINTS="32"  >
177
178 </NEUROCLASS>
179
180 <NEUROCLASS ID="Ch" NAME="Channelize" DESCRIPTION="Combines all input signals into a single multichannel output; Note: ChSel and ChMux are the only neurons which support multiple channels. Other neurons discard everything except the first channel." INPUTS="-1" OUTPUT="1" LOCATION="0"  SYMBOL="10,4,25,0,25,100,75,70,75,30,25,0,1,75,50,100,50,1,70,50,55,50,1,30,80,55,50,1,30,20,55,50,1,30,35,55,50,1,30,45,55,50,1,30,55,55,50,1,61,53,65,47,1,30,65,55,50"  >
181
182 </NEUROCLASS>
183
184 <NEUROCLASS ID="ChMux" NAME="Channel multiplexer" DESCRIPTION="Outputs the selected channel from the second (multichannel) input. The first input is used as the selector value (-1=select first channel, .., 1=last channel)" INPUTS="2" OUTPUT="1" LOCATION="0"  SYMBOL="7,4,25,0,25,100,75,70,75,30,25,0,1,75,50,100,50,1,70,50,55,50,3,50,55,55,50,50,45,50,55,3,30,67,45,67,45,50,50,50,1,35,70,39,64,2,30,33,53,33,53,48"  >
185
186 </NEUROCLASS>
187
188 <NEUROCLASS ID="ChSel" NAME="Channel selector" DESCRIPTION="Outputs a single channel (selected by the &quot;ch&quot; parameter) from multichannel input" INPUTS="1" OUTPUT="1" LOCATION="0"  SYMBOL="6,4,25,0,25,100,75,70,75,30,25,0,1,75,50,100,50,1,70,50,55,50,3,50,55,55,50,50,45,50,55,1,30,50,50,50,1,35,53,39,47"  >
189
190  <NEUROPROP ID="ch" NAME="channel" TYPE="d" MIN="" MAX="" DEF="" />
191 </NEUROCLASS>
192
193 <NEUROCLASS ID="Rnd" NAME="Random noise" DESCRIPTION="Generates random noise (subsequent random values in the range of -1..+1)" INPUTS="0" OUTPUT="1" LOCATION="0"  >
194 </NEUROCLASS>
195
196 <NEUROCLASS ID="Sin" NAME="Sinus generator" DESCRIPTION="Output frequency = f0+input" INPUTS="1" OUTPUT="1" LOCATION="0"  SYMBOL="3,12,75,50,71,37,62,28,50,25,37,28,28,37,25,50,28,62,37,71,50,75,62,71,71,62,75,50,1,75,50,100,50,5,35,50,40,35,45,35,55,65,60,65,65,50"  >
197
198  <NEUROPROP ID="f0" NAME="base frequency" TYPE="f" MIN="-1.0" MAX="1.0" DEF="0.06283185307" />
199  <NEUROPROP ID="t" NAME="time" TYPE="f" MIN="0" MAX="6.283185307" DEF="0" />
200 </NEUROCLASS>
201
202
203</F0CLASSES>
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