1 files changed, 0 insertions, 80 deletions
diff --git a/references/spires_tutorial.c b/references/spires_tutorial.c
deleted file mode 100644
index f4eba10..0000000
--- a/references/spires_tutorial.c
+++ /dev/null
@@ -1,80 +0,0 @@
-#include <../src/neurons/lif_discrete.h>
-#include <math.h>
-#include <spires.h>
-#include <stdio.h>
-#include <stdlib.h>
-
-#define N_TRAIN 500
-#define N_TEST 100
-#define PI 3.14159265358979323846
-
-int main(void) {
-  /* 1. Configure the reservoir */
-  double lif_cfg[] = {0.0, 1.0, 0.2, 0.5};
-
-  spires_reservoir_config cfg = {
-      .num_neurons = 400,
-      .num_inputs = 1,
-      .num_outputs = 1,
-      .spectral_radius = 0.95,
-      .ei_ratio = 0.8,
-      .input_strength = 0.1,
-      .connectivity = 0.1,
-      .dt = 1.0,
-      .connectivity_type = SPIRES_CONN_RANDOM,
-      .neuron_type = SPIRES_NEURON_LIF_DISCRETE,
-      .neuron_params = lif_cfg,
-  };
-
-  /* 2. Create the reservoir */
-  spires_reservoir *r = NULL;
-  spires_status s = spires_reservoir_create(&cfg, &r);
-  if (s != SPIRES_OK) {
-    fprintf(stderr, "Failed to create reservoir: %d\n", s);
-    return 1;
-  }
-
-  /* 3. Generate training data — predict sin(t+1) from sin(t) */
-  double input_train[N_TRAIN];
-  double target_train[N_TRAIN];
-  for (int i = 0; i < N_TRAIN; i++) {
-    input_train[i] = sin(2.0 * PI * i / 50.0);
-    target_train[i] = sin(2.0 * PI * (i + 1) / 50.0);
-  }
-
-  /* 4. Train with ridge regression */
-  s = spires_train_ridge(r, input_train, target_train, N_TRAIN, 1e-6);
-
-  if (s != SPIRES_OK) {
-    fprintf(stderr, "Training failed: %d\n", s);
-    spires_reservoir_destroy(r);
-    return 1;
-  }
-
-  /* 5. Generate test input */
-  double input_test[N_TEST];
-  for (int i = 0; i < N_TEST; i++) {
-    input_test[i] = sin(2.0 * PI * (N_TRAIN + i) / 50.0);
-  }
-
-  /* 6. Run inference */
-  double *predictions = spires_run(r, input_test, N_TEST);
-  if (!predictions) {
-    fprintf(stderr, "Inference failed\n");
-    spires_reservoir_destroy(r);
-    return 1;
-  }
-
-  /* 7. Print a few predictions vs. expected values */
-  printf("Step | Predicted | Expected\n");
-  printf("-----+-----------+---------\n");
-  for (int i = 0; i < 10; i++) {
-    double expected = sin(2.0 * PI * (N_TRAIN + i + 1) / 50.0);
-    printf("%4d | %+.5f | %+.5f\n", i, predictions[i], expected);
-  }
-
-  /* 8. Clean up */
-  free(predictions);
-  spires_reservoir_destroy(r);
-  return 0;
-}