feat(ai): add get_peaks

src/ai/fitness/peaks.py

@@ -0,0 +1,14 @@
+import numpy as np
+
+from ai.log import log
+
+
+def get_peaks(field: np.ndarray) -> float:
+    col_num = field.shape[1]
+    peaks = np.zeros(col_num)
+
+    for col in range(col_num):
+        if 1 in field[:, col]:
+            peaks[col] = field.shape[0] - np.argmax(field[:, col], axis=0)
+
+    return float(np.sum(peaks))