if last_index >= 0 and letters[last_index] == y:
letters.pop()
else:
letters.append(x)
return "".join(letters)
def smallest(input):
reduced_size = len(input)
for char in string.ascii_lowercase:
replaced = input.replace(char, "").replace(char.swapcase(), "")
reduced = reduce(replaced)
if len(reduced) < reduced_size:
reduced_size = len(reduced)
return reduced_size
input = read_file("../inputs/input5.txt")
polymers = input[0].rstrip()
print("input length:", len(polymers))
reduced = reduce(polymers)
print("reduced polymer:", len(reduced), "'" + reduced + "'")
print("smallest after removing one:", smallest(polymers))
if __name__ == "__main__":
import doctest
doctest.testmod()
frequency += change
frequencies.append(frequency)
return frequencies
def find_first_repeated(input_changes):
changes = [int(x) for x in input_changes]
frequency = 0
frequencies = {str(frequency): 1}
while 1:
for change in changes:
frequency += change
if str(frequency) in frequencies:
return frequency
frequencies[str(frequency)] = 1
input_changes = read_file("../inputs/input1.txt")
frequency_results = calc_frequency(input_changes)
print("Final frequency is ", frequency_results[-1])
first_repeated = find_first_repeated(input_changes)
print("First repeated frequency is ", first_repeated)
if __name__ == "__main__":
import doctest
doctest.testmod()
def parse_claim(str):
[id, details] = str.split(" @ ")
[position, size] = details.split(": ")
[left, top] = [int(x) for x in position.split(",")]
[width, height] = [int(x) for x in size.split("x")]
claim = {
"id": id,
"left": left,
"top": top,
"width": width,
"height": height
}
return claim
claim_strings = read_file("../inputs/input3.txt")
claims = [parse_claim(x) for x in claim_strings]
canvas = count_claims(claims)
count = overlapping_count( canvas)
print("number of overlapping cells is", count)
clean_claim = find_clean_claim(canvas, claims)
print("non-overlapping claim is ", clean_claim)
# print("Same letters are ", same_letters)
if __name__ == "__main__":
import doctest
doctest.testmod()
for row in matrix:
print( row )
# inputs = {'A':(1,1), 'B':(1,6), 'C':(8,3), 'D':(3,4), 'E':(5,5), 'F':(8,9)}
def parse_input(inputs):
ins = {}
i=0
for row in inputs:
i+=1
coords = [int(x) for x in row.split(', ')]
ins[i] = coords
return ins
in_list = read_file("../inputs/input6.txt")
inputs = parse_input(in_list)
print(inputs)
matrix = bounds([x for x in inputs.values()])
#matrix = closest(inputs, matrix)
#ids = sizes(matrix)
#print("size by id", ids)
#largest = biggest(matrix, ids)
#print("largest area is", largest)
score(inputs, matrix)
area_size = count_score_below(matrix, 10000)
print("area with scores below 10000:", area_size)
if __name__ == "__main__":
diff_count += 1
if diff_count > 1:
break
if diff_count == 1:
return [id1, id2]
def same(id1, id2):
same = ""
for i in range(len(id1)):
if id1[i] == id2[i]:
same += id1[i]
return same
ids = read_file("../inputs/input2.txt")
two_count = 0
three_count = 0
for id in ids:
char_map = char_count(id)
if 2 in char_map.values():
two_count += 1
if 3 in char_map.values():
three_count += 1
print("Checksum is ", two_count * three_count)
similar_ids = similar(ids)
print("Similar ids are ", similar_ids)
if not found:
keys.append(key)
return keys
def graph(inputs):
dependencies = {}
dependants = {}
for input in inputs:
[a, before, b, c, d, e, f, after, g, h] = input.strip().split(" ")
if after in dependencies.keys():
dependencies[after] += before
else:
dependencies[after] = [before]
if before in dependants.keys():
dependants[before] += after
else:
dependants[before] = [after]
return [dependants, dependencies]
inputs = read_file("../inputs/input7.txt")
[dependants, dependencies] = graph(inputs)
start = find_start(dependants)
order = traverse(start, dependants, dependencies)
print("Step order: ", "".join(order))
if __name__ == "__main__":
import doctest
doctest.testmod()
