(This is Advent Of Code day 4, I already have my stars, but I'd like to do it more efficiently)
I have a 3d matrix like this one:
[
[
[{22: 0}, {13: 0}, {17: 1}, {11: 1}, {0 : 1}],
[{8 : 0}, {2 : 1}, {23: 1}, {4 : 1}, {24: 1}],
[{21: 1}, {9 : 1}, {14: 1}, {16: 0}, {7 : 1}],
[{6 : 0}, {10: 0}, {3 : 0}, {18: 0}, {5 : 1}],
[{1 : 0}, {12: 0}, {20: 0}, {15: 0}, {19: 0}]
],
[
[{3 : 0}, {15: 0}, {0 : 1}, {2 : 1}, {22: 0}],
[{9 : 1}, {18: 0}, {13: 0}, {17: 1}, {5 : 1}],
[{19: 0}, {8 : 0}, {7 : 1}, {25: 0}, {23: 1}],
[{20: 0}, {11: 1}, {10: 0}, {24: 1}, {4 : 1}],
[{14: 1}, {21: 1}, {16: 0}, {12: 0}, {6 : 0}]
],
[
[{14: 1}, {21: 1}, {17: 1}, {24: 1}, {4 : 1}],
[{10: 0}, {16: 0}, {15: 0}, {9 : 1}, {19: 0}],
[{18: 0}, {8 : 0}, {23: 1}, {26: 0}, {20: 0}],
[{22: 0}, {11: 1}, {13: 0}, {6 : 0}, {5 : 1}],
[{2 : 1}, {0 : 1}, {12: 0}, {3 : 0}, {7 : 1}]
]
]
And I want to sum all values from one of those matrices using map/sum functions. This is what I have now and works:
# z is one of those matrices, 0, 1 or 2
soma = 0
for line in matrices[z]: # line is a list of dictionaries
for dic in line: # dic is a dictionary from the list
valor = list(dic.values())[0]
if valor == 0:
soma += list(dic.keys())[0]
What I've tried to do:
print("soma = ", sum(map(sum, ( (value.values())[0] for value in matrizes[z]))))
which doesnt work, and I get this error: Traceback (most recent call last):
File "day4.py", line 75, in <module>
print("part 1 = ", sum(map(sum, ((value.values())[0] for value in matrizes[z]))))
File "day4.py", line 75, in <genexpr>
print("part 1 = ", sum(map(sum, ((value.values())[0] for value in matrizes[z]))))
AttributeError: 'list' object has no attribute 'values'
I've found a post with 2d arrays, but couldnt understand how to make it for 3d arrays.
I've also found posts using "numpy", but I want to do with map and sum functions.
You can do:
z = 0
soma = sum(map(lambda line: sum(k for d in line for k, v in d.items() if v == 0), matrices[z]))
print(soma) # 163