implement genome parsing

3 files changed, 36 insertions, 1 deletions

diff --git a/.gitignore b/.gitignore
index 5b8128f..2804402 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,5 @@
 yarn-error.log
 node_modules/
+.*
+*.swp
+*~
diff --git a/src/genome/genome.js b/src/genome/genome.js
index 71e18c1..0f7275f 100644
--- a/src/genome/genome.js
+++ b/src/genome/genome.js
@@ -1,5 +1,7 @@
 'use strict';

 

+import { network } from '../mind/topology';

+

 

 export const mutation_type = Object.freeze({

   none: 'none',

@@ -71,3 +73,19 @@ export function get_size(num_input, num_output, genome) {
     return max_index + 1;

   }

 }

+

+

+export function parse_genome(num_input, num_output, genome) {

+  const size = get_size(num_input, num_output, genome);

+  if (size < 0) {

+    // bad genome

+    throw new Error('invalid genome sequence!');

+  }

+

+  const n = genome.reduce(

+    (acc, [source, sink, weight]) => acc.connect(source, sink, weight),

+    network(num_input, size-num_input-num_output, num_output)

+  );

+

+  return n;

+}

diff --git a/src/genome/genome.test.js b/src/genome/genome.test.js
index 0ad8d80..8152f04 100644
--- a/src/genome/genome.test.js
+++ b/src/genome/genome.test.js
@@ -3,6 +3,7 @@
 import { 

   mutation_type, mutate,

   get_size,

+  parse_genome,

 } from './genome';

 

 

@@ -32,5 +33,18 @@ test('genome validation and size', () => {
 

 

 test('parse a genome into a neural net', () => {

-  

+  const n = parse_genome(1, 1, [

+    [0, 1, 1],

+    [1, 1, 1],

+    [1, 2, 1]

+  ]);

+

+  console.log(n);

+

+  expect(n.input_count).toBe(1);

+  expect(n.output_count).toBe(1);

+	expect(n.compute([2], [-1])).toEqual([

+		[ Math.tanh( Math.tanh( 2-1 ) ) ],

+		[ Math.tanh( 2-1 ) ],

+	]);

 });