refactor folder locations

test/nan_fitness.py

@@ -0,0 +1,42 @@
+import jax, jax.numpy as jnp
+from tensorneat.common import Act
+from algorithm.neat import *
+import numpy as np
+
+
+def main():
+    node_path = "../examples/brax/nan_node.npy"
+    conn_path = "../examples/brax/nan_conn.npy"
+    nodes = np.load(node_path)
+    conns = np.load(conn_path)
+    nodes, conns = jax.device_put([nodes, conns])
+
+    genome = DefaultGenome(
+        num_inputs=8,
+        num_outputs=2,
+        max_nodes=20,
+        max_conns=20,
+        node_gene=DefaultNodeGene(
+            activation_options=(Act.tanh,),
+            activation_default=Act.tanh,
+        ),
+    )
+
+    transformed = genome.transform(nodes, conns)
+    seq, nodes, conns = transformed
+    print(seq)
+
+    exit(0)
+    # print(*transformed, sep='\n')
+
+    key = jax.random.key(0)
+    dummy_input = jnp.zeros((8,))
+    output = genome.forward(dummy_input, transformed)
+    print(output)
+
+
+if __name__ == "__main__":
+    a = jnp.array([1, 3, 5, 6, 8])
+    b = jnp.array([1, 2, 3])
+    print(jnp.isin(a, b))
+    # main()