protected override void SolveInstance(IGH_DataAccess DA)
{
AWorld refwrld = new AWorld();
List<double> v_list = new List<double>();
//GH_Dict test = GH_Dict.create("a", 1.0);
//if (!DA.GetData(0, ref refwrld) || !refwrld.IsValid) return;
//AWorld wrld = new AWorld(refwrld);
SpatialGraph gph = new SpatialGraph();
if (!DA.GetData(0, ref gph)) return;
int nGen = 0;
string pyString = "";
if (!DA.GetData(1, ref pyString)) return;
if (!DA.GetDataList(2, v_list)) return;
if (!DA.GetData(3, ref nGen)) return;
// Sets the initial Generation by using the input v_list
// if it runs out of values, it starts over (wraps)
double[] val_list = new double[gph.nodes.Count];
int v_i = 0;
for (int i = 0; i < gph.nodes.Count; i++)
{
if (v_i == v_list.Count) v_i = 0;
val_list[i] = v_list[v_i];
v_i++;
}
AWorld wrld = new AWorld(gph, val_list);
_py = PythonScript.Create();
_py.Output = this.m_py_output.Write;
_compiled_py = _py.Compile(pyString);
// console out
Grasshopper.Kernel.Data.GH_Structure<Grasshopper.Kernel.Types.GH_String> consoleOut = new Grasshopper.Kernel.Data.GH_Structure<Grasshopper.Kernel.Types.GH_String>();
// Main evaluation cycle
// Should move code into the Antsworld Class
for (int g = 0; g < nGen; g++)
{
// console out
this.m_py_output.Reset();
double[] new_vals = new double[wrld.NodeCount];
for (int i = 0; i < wrld.NodeCount; i++)
{
int[] neighboring_indices = wrld.gph.NeighboringIndexesOf(i);
// build list of neighboring values
List<double> neighboring_vals = new List<double>();
for (int k = 0; k < neighboring_indices.Length; k++) neighboring_vals.Add(wrld.LatestGen[neighboring_indices[k]]);
double d = EvaluateCell(i, wrld.LatestGen[i], neighboring_vals);
//double d = g + i + 0.0;
new_vals[i] = d;
}
wrld.AddGen(new_vals);
// console out
Grasshopper.Kernel.Data.GH_Path key_path = new Grasshopper.Kernel.Data.GH_Path(g);
List<Grasshopper.Kernel.Types.GH_String> gh_strs = new List<Grasshopper.Kernel.Types.GH_String>();
foreach (String str in this.m_py_output.Result) gh_strs.Add(new Grasshopper.Kernel.Types.GH_String(str));
consoleOut.AppendRange(gh_strs, key_path);
}
DA.SetDataTree(0, consoleOut);
DA.SetData(1, wrld);
}
protected override void SolveInstance(IGH_DataAccess DA)
{
AWorld refwrld = new AWorld();
bool SelectType = false;
List<double> v_list = new List<double>();
Random rnd = new Random();
//if (!DA.GetData(0, ref refwrld) || !refwrld.IsValid) return;
//AWorld wrld = new AWorld(refwrld);
SpatialGraph gph = new SpatialGraph();
if (!DA.GetData(0, ref gph)) return;
int nGen = 0;
string pyString = "";
string spyString = "";
if (!DA.GetData(1, ref spyString)) return;
if (!DA.GetData(2, ref SelectType)) return;
if (!DA.GetData(3, ref pyString)) return;
if (!DA.GetDataList(4, v_list)) return;
if (!DA.GetData(5, ref nGen)) return;
// Sets the initial Generation by using the input v_list
// if it runs out of values, it starts over (wraps)
double[] val_list = new double[gph.nodes.Count];
int v_i = 0;
for (int i = 0; i < gph.nodes.Count; i++)
{
if (v_i == v_list.Count) v_i = 0;
val_list[i] = v_list[v_i];
v_i++;
}
AWorld wrld = new AWorld(gph, val_list);
// evaluation function
_py = PythonScript.Create();
_py.Output = this.m_py_output.Write;
_compiled_py = _py.Compile(pyString);
// selection function
_spy = PythonScript.Create();
_py.Output = this.m_py_output.Write;
_compiled_spy = _py.Compile(spyString);
// console out
Grasshopper.Kernel.Data.GH_Structure<Grasshopper.Kernel.Types.GH_String> consoleOut = new Grasshopper.Kernel.Data.GH_Structure<Grasshopper.Kernel.Types.GH_String>();
// Main evaluation cycle
// Should move code into the Antsworld Class
for (int g = 0; g < nGen; g++)
{
// console out
this.m_py_output.Reset();
double[] new_vals = new double[wrld.NodeCount];
// build list to test
List<int> nodes_to_test = new List<int>();
for (int i = 0; i < wrld.NodeCount; i++)
{
// build this now since we will only change a few of them later
new_vals[i] = wrld.LatestGen[i];
int[] neighboring_indices = wrld.gph.NeighboringIndexesOf(i);
double[] n_wts = wrld.gph.NeighboringWeightsOf(i);
// build list of neighboring values
List<double> neighboring_vals = new List<double>();
for (int k = 0; k < neighboring_indices.Length; k++) neighboring_vals.Add(wrld.LatestGen[neighboring_indices[k]]);
bool test = SelectCell(i, wrld.LatestGen[i], neighboring_vals, n_wts);
if (test) nodes_to_test.Add(i);
}
if (SelectType)
{
int trial = rnd.Next(nodes_to_test.Count);
int new_index = nodes_to_test[trial];
nodes_to_test[0] = new_index;
nodes_to_test.RemoveRange(1, nodes_to_test.Count - 1);
}
// evaluate list of cells
for (int j = 0; j < nodes_to_test.Count; j++)
{
int i = nodes_to_test[j];
int[] neighboring_indices = wrld.gph.NeighboringIndexesOf(i);
// build list of neighboring values
List<double> neighboring_vals = new List<double>();
for (int k = 0; k < neighboring_indices.Length; k++) neighboring_vals.Add(wrld.LatestGen[neighboring_indices[k]]);
double d = EvaluateCell(i, wrld.LatestGen[i], neighboring_vals, wrld.gph.NeighboringWeightsOf(i));
//double d = g + i + 0.0;
new_vals[i] = d;
}
wrld.AddGen(new_vals);
// console out
Grasshopper.Kernel.Data.GH_Path key_path = new Grasshopper.Kernel.Data.GH_Path(g);
List<Grasshopper.Kernel.Types.GH_String> gh_strs = new List<Grasshopper.Kernel.Types.GH_String>();
foreach (String str in this.m_py_output.Result) gh_strs.Add(new Grasshopper.Kernel.Types.GH_String(str));
consoleOut.AppendRange(gh_strs, key_path);
}
DA.SetDataTree(0, consoleOut);
DA.SetData(1, wrld);
}
