Day 5
Part 1
import numpy as np
data,data1 = get_data(day=5)
# get(x1, y1, x2, y2)
coordinates = []
for d in data:
x1, y1, x2, y2 = list(map(int, d.replace(" -> ", ",").split(",")))
coordinates.append((x1, y1, x2, y2))
coordinates = np.array(coordinates)
mxx,mxy = coordinates[[0, 2]].max(), coordinates[[1, 3]].max()
board = np.zeros((mxx*2, mxy*2))
# check only horizontal or vertical line
m1 = coordinates[:, 0]==coordinates[:, 2]
m2 = coordinates[:, 1]==coordinates[:, 3]
m = m1 | m2
masked = coordinates[m]
for co in masked:
for x in range(min(co[0], co[2]), max(co[0], co[2])+1):
for y in range(min(co[1], co[3]), max(co[1], co[3])+1):
board[x, y] += 1
print((board.flatten()>1).sum())
The output will be 5 for above code where test data was used. Should use data1
for real output.
Part 2
# diagonal line
m1 = coordinates[:, 0]!=coordinates[:, 2]
m2 = coordinates[:, 1]!=coordinates[:, 3]
m=m1*m2
masked = coordinates[m]
for co in masked:
# add or sub to x1?
dx = int(co[2]>co[0]) or -1
dy = int(co[3]>co[1]) or -1
for dp in range(abs(co[2]-co[0])+1):
x = co[0]+dx*dp
y = co[1]+dy*dp
board[x,y]+=1
print((board.flatten()>1).sum())
The output of above code will be 12 for test data.
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