Implement loading of training data.

Add an unfunny note to self.

src/neural.c

@@ -65,6 +65,44 @@ neural_randomize(Neural_Network *self) {
     }
 }
 
+float *
+neural_loadData(Neural_Network *self, const char *filename) {
+    Neural_Layer *nl;
+    FILE *f;
+    char *file_data;
+    float *retval;
+    int read_cursor = 0;
+
+    file_data = malloc(9*8 * sizeof(char));
+    retval = malloc(8*8 * sizeof(float));
+
+    // Watch out, newlines!
+
+    f = fopen(filename, "r");
+
+    nl = self->layers[0];
+
+    fread(file_data, sizeof(char), 9*8, f); // 9*8 - 8*8 value matrix + newlines
+    for (int i = 0; i < 8*8; i++) {
+        if (file_data[read_cursor] == '\n') {
+            read_cursor++;
+        }
+        switch (file_data[read_cursor]) {
+            case '0':
+                retval[i] = 0.0;
+                break;
+            case '1':
+                retval[i] = 1.0;
+                break;
+            default:
+                fprintf(stderr, "It would really be nice to start testing now.\n");
+                return NULL;
+                break;
+        }
+    }
+    return retval;
+}
+
 float *
 neural_process(Neural_Network *self, float *input) {
     float *retval = NULL;
@@ -99,6 +137,14 @@ neural_process(Neural_Network *self, float *input) {
     return retval;
 }
 
+int
+neural_train(Neural_Network *self,
+             const char *testdata,
+             const float *testresult) {
+    // Insert algorithm you lazy fuck.
+    return 0;
+}
+
 int
 neural_getMesh(ModelRegistry *mr, Neural_Network *nn) {
     Model *model;