def main():
mat = load("flaredata2.txt")
tree = recurtion_function(mat, 0)
pprint(tree)
from LoadFiles import load, dist
data = load("flaredata2.txt")
# 10 dimensional matrix, to be filled with the count of each potential data element
gridcounts = [[[[[[[[[[0 for u in range(2)] for y in range(2)] for t in range(2)] for r in range(2)] for e in range(3)] for w in range(3)] for q in range(2)] for i in range(4)] for j in range(6)] for x in range(7)]
# populate the data
for e in data:
gridcounts[e[0]][e[1]][e[2]][e[3]-1][e[4]-1][e[5]-1][e[6]-1][e[7]-1][e[8]-1][e[9]-1] = gridcounts[e[0]][e[1]][e[2]][e[3]-1][e[4]-1][e[5]-1][e[6]-1][e[7]-1][e[8]-1][e[9]-1] + 1
# collapse data into a useable list
gridlist = []
for a in range(len(gridcounts)):
for b in range(len(gridcounts[a])):
for c in range(len(gridcounts[a][b])):
for d in range(len(gridcounts[a][b][c])):
for e in range(len(gridcounts[a][b][c][d])):
for f in range(len(gridcounts[a][b][c][d])):
for g in range(len(gridcounts[a][b][c][d][e][f])):
for h in range(len(gridcounts[a][b][c][d][e][f][g])):
for j in range(len(gridcounts[a][b][c][d][e][f][g][h])):
for k in range(len(gridcounts[a][b][c][d][e][f][g][h][j])):
gridlist.append([gridcounts[a][b][c][d][e][f][g][h][j][k], a/6, b/5, c/3, d, e/2, f/2, g, h, j, k])
# sort by count
gridlist.sort(key = lambda el: el[0], reverse = True)
#for x in range(len(gridlist)):
# print(gridlist[x])
def main():
mat = load("flaredata2.txt")
tree = recurtion_function(mat, 0)
pprint(tree)
