small update to recenter on IPP

lpm_hikersim.py

@@ -5,6 +5,7 @@ import os, sys, inspect
 from os import path, getcwd
 import pandas as pd
 
+#Add parent directory to path, where LPM code is
 currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
 parentdir = os.path.dirname(currentdir)
 sys.path.insert(0, parentdir)
@@ -40,7 +41,8 @@ def main(exp_name='test', start_idx=0, n_envs=1, n_iter=10):
 
     #Calculate cells from extent
     scale_factor = 3/20 # factor to get 6.66667m mapping from 1m mapping (1/6.6667)
-    extent = np.ceil(scale_factor*download_extent).astype(np.int32)
+    test_extent = np.ceil(scale_factor*test_extent).astype(np.int32)
+    download_extent = np.ceil(scale_factor*download_extent).astype(np.int32)
 
 
     for i in range(start_idx, end_idx):
@@ -49,7 +51,7 @@ def main(exp_name='test', start_idx=0, n_envs=1, n_iter=10):
         i_area = np.transpose(i_area)[0]
 
         #test - print start / end locations on grid
-        grid = np.zeros((3000,3000),dtype=np.int8())
+        grid = np.zeros((extent,extent),dtype=np.int8())
 
         for incident in range(0,len(i_area)):
             #Dealing with large areas. Find the IPP point and resize around it
@@ -64,6 +66,18 @@ def main(exp_name='test', start_idx=0, n_envs=1, n_iter=10):
                         cur_ipp = ipp_latlons[i_area[incident+subzone]]
                         ipp_xy = lat_lon2meters(cur_ipp[0],cur_ipp[1])
                         print(cur_ipp)
+                        #Distance calculation
+                        x_dist = cur_ipp[0] - sub_center[0]
+                        y_dist = cur_ipp[1] - sub_center[1]
+                        x_index = np.ceil(0.5*extent + scale_factor*x_dist).astype(np.int32)
+                        y_index = np.ceil(0.5*extent + scale_factor*y_dist).astype(np.int32)
+                        if(x_index >= extent or y_index >= extent or x_index)
+                        #Grab subset of big grid
+                        sub_grid =
+
+
+
+
         #Locate find position from IPP
         #Convert both to meters
         #Use extent / cell count to determine which cell we're in:
@@ -166,7 +180,7 @@ def main(exp_name='test', start_idx=0, n_envs=1, n_iter=10):
 
 if __name__ == "__main__":
 
-    start = 0       #Environment to start at (0 is first, 8 is first large map)
+    start = 8       #Environment to start at (0 is first, 8 is first large map)
     n = 1           #Number of environments to test
     mc = 10         #Monte Carlo iterations