finish all refactoring

examples/func_fit/xor_hyperneat.py

@@ -1,41 +0,0 @@
-from config import *
-from pipeline import Pipeline
-from algorithm.neat import NormalGene, NormalGeneConfig
-from algorithm.hyperneat import HyperNEAT, NormalSubstrate, NormalSubstrateConfig
-from problem.func_fit import XOR3d, FuncFitConfig
-from utils import Act
-
-
-if __name__ == '__main__':
-    config = Config(
-        basic=BasicConfig(
-            seed=42,
-            fitness_target=0,
-            pop_size=1000
-        ),
-        neat=NeatConfig(
-            max_nodes=50,
-            max_conns=100,
-            max_species=30,
-            inputs=4,
-            outputs=1
-        ),
-        hyperneat=HyperNeatConfig(
-            inputs=3,
-            outputs=1
-        ),
-        substrate=NormalSubstrateConfig(
-            input_coors=((-1, -1), (-0.5, -1), (0.5, -1), (1, -1)),
-        ),
-        gene=NormalGeneConfig(
-            activation_default=Act.tanh,
-            activation_options=(Act.tanh, ),
-        ),
-        problem=FuncFitConfig()
-    )
-
-    algorithm = HyperNEAT(config, NormalGene, NormalSubstrate)
-    pipeline = Pipeline(config, algorithm, XOR3d)
-    state = pipeline.setup()
-    state, best = pipeline.auto_run(state)
-    pipeline.show(state, best)