def parse_army(line):
units, hp, dmg, initiative = get_numbers(line)
# damage type?
dmg_type = line.split(" damage")[0].split(" ")[-1]
# weaknesses
weaknesses = []
if ('weak' in line):
weaknesses = line.split('weak to ')[1]
if (';' in weaknesses):
weaknesses = weaknesses.split(';')[0]
elif (')' in weaknesses):
weaknesses = weaknesses.split(')')[0]
weaknesses = weaknesses.split(', ')
# immunities
immunities = []
if ('immune' in line):
immunities = line.split('immune to ')[1]
if (';' in immunities):
immunities = immunities.split(';')[0]
elif (')' in immunities):
immunities = immunities.split(')')[0]
immunities = immunities.split(', ')
return units, hp, dmg, dmg_type, initiative, weaknesses, immunities
def create_message(corpus, data, msg0=None):
from email import Charset, Parser, MIMEMessage
if not isinstance(data, unicode):
raise TypeError("data must be a unicode.")
p = Parser.FeedParser()
p.feed(data)
msg1 = p.close()
csmap = Charset.Charset(config.MESSAGE_CHARSET)
attach_msgs = []
# Re-encode the headers.
headers = []
labels = []
for (k, v) in msg1.items():
v = rmsp(v)
if not v:
continue
kl = k.lower()
if kl == "x-forward-msg":
attach_msgs.extend(get_numbers(v))
continue
if kl == "label":
labels = v.split(",")
continue
headers.append((k.encode("ascii", "strict"), encode_header(v, csmap)))
# Remove all the existing headers.
for k in msg1.keys():
del msg1[k]
# Reattach the headers.
for (k, v) in headers:
msg1[k] = v
# Change the body.
data = msg1.get_payload(decode=False)
try:
# First try to encode with us-ascii.
data.encode("ascii", "strict")
# Succeed.
msg1.set_charset("ascii")
except UnicodeError:
# Re-encode the body.
if not csmap.output_charset:
csmap = Charset.Charset("utf-8")
msg1.set_charset(str(csmap.output_charset))
data = data.encode(str(csmap.output_codec), "replace")
msg1.set_payload(data)
# Attach other messages (for forwarding).
if attach_msgs:
for loc in attach_msgs:
p = Parser.FeedParser()
p.feed(corpus.get_message(loc))
msg1 = mime_add(msg1, MIMEMessage.MIMEMessage(p.close()))
# Integrate other mime objects.
if msg0 and msg0.is_multipart():
for obj in msg0.get_payload()[1:]:
msg1 = mime_add(msg1, obj)
validate_message_structure(msg1)
return (msg1, labels)
def create_message(corpus, data, msg0=None):
from email import Charset, Parser, MIMEMessage
if not isinstance(data, unicode):
raise TypeError('data must be a unicode.')
p = Parser.FeedParser()
p.feed(data)
msg1 = p.close()
csmap = Charset.Charset(config.MESSAGE_CHARSET)
attach_msgs = []
# Re-encode the headers.
headers = []
labels = []
for (k, v) in msg1.items():
v = rmsp(v)
if not v: continue
kl = k.lower()
if kl == 'x-forward-msg':
attach_msgs.extend(get_numbers(v))
continue
if kl == 'label':
labels = v.split(',')
continue
headers.append((k.encode('ascii', 'strict'), encode_header(v, csmap)))
# Remove all the existing headers.
for k in msg1.keys():
del msg1[k]
# Reattach the headers.
for (k, v) in headers:
msg1[k] = v
# Change the body.
data = msg1.get_payload(decode=False)
try:
# First try to encode with us-ascii.
data.encode('ascii', 'strict')
# Succeed.
msg1.set_charset('ascii')
except UnicodeError:
# Re-encode the body.
if not csmap.output_charset:
csmap = Charset.Charset('utf-8')
msg1.set_charset(str(csmap.output_charset))
data = data.encode(str(csmap.output_codec), 'replace')
msg1.set_payload(data)
# Attach other messages (for forwarding).
if attach_msgs:
for loc in attach_msgs:
p = Parser.FeedParser()
p.feed(corpus.get_message(loc))
msg1 = mime_add(msg1, MIMEMessage.MIMEMessage(p.close()))
# Integrate other mime objects.
if msg0 and msg0.is_multipart():
for obj in msg0.get_payload()[1:]:
msg1 = mime_add(msg1, obj)
validate_message_structure(msg1)
return (msg1, labels)
def main(puzzle_input):
points = []
for line in puzzle_input:
points.append(tuple(get_numbers((line))))
# compute the distance between every pair of points
distances = {
p: {q: manhattan_distance(p, q)
for q in points}
for p in points
}
# for each point, find the constellation of points that it contains
constellations = 0
points_in_constellation = set()
points_remaining = set(points)
# basically we pick a point that isn't in a constellation, and then keep working
# away from that point until we've found the entire constellation
while True:
# no more points remaining!
if len(points_remaining) == 0:
break
p = points_remaining.pop()
to_process = set([p])
points_in_constellation.add(p)
while len(to_process) > 0:
p = to_process.pop()
# get all the points that are within a distance of 3 of our current processing points
qs = {q for q in points_remaining if distances[p][q] <= 3}
points_remaining = points_remaining.difference(qs)
points_in_constellation = points_in_constellation.union(qs)
to_process = to_process.union(qs)
constellations += 1
return constellations
def main():
# get the list of step orderings
points = load_input('input.txt')
positions = {}
position_set = set()
velocities = {}
# extract the four digits out of each input line
for (k, line) in enumerate(points):
x, y, xv, yv = get_numbers(line)
positions[k] = (x, y)
position_set.add((x, y))
velocities[k] = (xv, yv)
m = 0
while True:
ymin = min(t[1] for t in position_set)
ymax = max(t[1] for t in position_set)
ht = abs(ymax - ymin)
# the lights align perfectly when the height is 9
# its unclear if this always achieves the correct result
if ht == 9:
xmin = min(t[0] for t in position_set)
xmax = max(t[0] for t in position_set)
print_blocks(position_set, xmin, xmax, ymin, ymax)
break
# move the lights by their velocities
# updating the set of positions
position_set = set()
for idx in positions:
positions[idx] = (positions[idx][0] + velocities[idx][0],
positions[idx][1] + velocities[idx][1])
position_set.add(positions[idx])
m += 1
return m
from utils import load_input, get_numbers
from collections import defaultdict
puzzle_input = load_input('puzzle_inputs/Day8.txt')
r = defaultdict(int)
code = ""
current_max = 0
for line in puzzle_input:
delta, condition = get_numbers(line)
operation = line.split()[1]
variable = line.split()[0]
condition_variable = line.split(' if ')[1].split(' ')[0]
conditional = line.split(f'if {condition_variable} ')[1].split()[0]
# we translate the code to pure python
code = f"if r['{condition_variable}'] {conditional} {condition}:\n"
if operation == 'inc':
code += f"\tr['{variable}'] += {delta}\n"
else:
code += f"\tr['{variable}'] -= {delta}\n"
# evalate, then check what the maximum value of any register is
exec(code)
m = r[max(r, key=r.get)]
if m > current_max:
current_max = m
def main():
puzzle_input = load_input('input.txt')
spring = defaultdict(str)
spring[(500,0)] = '|'
for line in puzzle_input:
char = line[0]
pos, a, b = get_numbers(line)
if char == 'x':
for y in range(a,b+1):
spring[(pos,y)] = '#'
else:
for x in range(a,b+1):
spring[(x,pos)] = '#'
spring[(500,1)] = '|'
ymaxx = max(q[1] for q in spring)
# now how do we want to do this
current_sources = set([(500,1)])
while len(current_sources) > 0:
source = current_sources.pop()
# if we're past the maximum y, just stop
if source[1] > ymaxx+10:
continue
# if there is no spot underneath, just move down
d = down(source)
if spring[d] == '':
spring[d] = '|'
current_sources.add(d)
continue
# if there is a '|' underneath, probably just ignore this?
if spring[d] == '|':
continue
# there is a spot underneath - try to flow as far left & right as possible
left_wall = None
right_wall = None
x, y = source
current_x = x+1
while True:
current_x -= 1
pos = (current_x,y)
# if there's a source block above this point
# then don't do anything further in this direction
if pos != source and up(pos) in current_sources:
left_wall = current_x+1
break
if pos != source and (pos in current_sources):
break
if pos != source and (spring[down(pos)] == '|' or down(pos) in current_sources):
break
spring[pos] = '|'
# if there is a spot below, then we can flow there
if spring[down(pos)] == '':
spring[down(pos)] = '|'
current_sources.add(down(pos))
break
# if theres a wall to our left, then we can't flow any further
if spring[left(pos)] == '#':
left_wall = current_x
break
current_x = x-1
while True:
current_x += 1
pos = (current_x, y)
# if there's a source block above this point
# then don't do anything further in this direction
if pos != source and up(pos) in current_sources:
right_wall = current_x - 1
break
if pos != source and pos in current_sources:
break
if pos != source and (spring[down(pos)] == '|' or down(pos) in current_sources):
break
spring[pos] = '|'
if spring[down(pos)] == '':
spring[down(pos)] = '|'
current_sources.add(down(pos))
break
# if theres a wall to oru right, then we can't flow any further
if spring[right(pos)] == '#':
right_wall = current_x
break
# we have a still water layer
# mark all flowing water blocks above our still layer
# as potential sources
if left_wall is not None and right_wall is not None:
for current_x in range(left_wall,right_wall+1):
pos = (current_x, y)
spring[pos] = '~'
if spring[up(pos)] == '|':
current_sources.add(up(pos))
c = Counter([spring[q] for q in spring if q[1] >= 0 and q[1] < ymaxx])
print('Part 1:', c['|'] + c['~'])
print('Part 2:', c['~'])
def __init__(self, _x, _y, _z, _r):
self.x = _x
self.y = _y
self.z = _z
self.r = _r
def __repr__(self):
return str((self.x, self.y, self.z, self.r))
puzzle_input = load_input('input.txt')
nanobots = []
for line in puzzle_input:
x, y, z, r = get_numbers(line)
nanobots.append(Nanobot(x, y, z, r))
nanobots.sort(key=lambda q: q.r, reverse=True)
# PART 1
r = nanobots[0]
nanobots_in_range = 0
for bot in nanobots:
if manhattan_distance((r.x, r.y, r.z), (bot.x, bot.y, bot.z)) <= r.r:
nanobots_in_range += 1
print('Part 1:', nanobots_in_range)
# PART 2
def result():
if request.method == 'POST':
if request.form.get('post') == "search_results":
#search on results
any_key = request.form['rany_key']
all_key = request.form['rall_key']
if session['resumes'] == []:
resumes = request.form.getlist('found_resumes')
session['resumes'] = resumes
else:
resumes = session['resumes']
any_key_list = any_key.split(",")
all_key_list = all_key.split(",")
found_candidates = []
filter_list = []
filter_link = []
total = 0
total_final = 0
keywords_matched = []
from models import Candidate
for res in resumes:
cand = Candidate.query.filter_by(resume=res).first()
found_candidates.append(cand)
for cand in found_candidates:
total_final = total_final + 1
if check_any(cand, any_key_list) == 1 and check_all(
cand, all_key_list) == 1:
filter_list.append(cand)
total = total + 1
keywords_matched.append("| ".join(any_key_list))
if all_key_list:
keywords_matched.append("| ")
keywords_matched.append("| ".join(all_key_list))
if len(filter_list) == 0:
empty = "NO MATCHES FOUND"
filter_link = []
return render_template('result.html',
result=filter_list,
skills="[ ]",
exp=",",
key=" ".join(keywords_matched),
items=len(filter_list),
count=str(total) + "/" +
str(total_final),
empty=empty,
url=filter_link,
all=all_key,
any=any_key)
else:
filter_link = []
for cand in filter_list:
url_link = cand.resume
filter_link.append(url_link.split("/")[-1])
result_list = rank_resume(filter_list, [], all_key_list,
any_key_list)
return render_template('result.html',
result=result_list,
skills="[ ]",
exp=",",
key=" ".join(keywords_matched),
items=len(filter_list),
count=str(total) + "/" +
str(total_final),
url=filter_link,
all=all_key,
any=any_key)
else:
session['resumes'] = []
skill = request.form.getlist('skill')
skill_exp = request.form.getlist('skill_exp')
skill_cond = request.form['skill_condition']
skill_iter = request.form.get('skill_full')
any_key = request.form['any_key']
all_key = request.form['all_key']
min_expyear = request.form['min_expyear']
max_expyear = request.form['max_expyear']
#search for skill and exp
filter_list = []
filter_link = []
total = 0
total_final = 0
keys_matched = []
exp_matched = ""
keywords_matched = []
mini = min_expyear
maxi = max_expyear
if str(min_expyear) == '':
min_expyear = "0"
if str(max_expyear) == '':
max_expyear = "10000"
any_key_list = any_key.split(",")
all_key_list = all_key.split(",")
from models import Candidate
for cand in Candidate.query.all():
total_final = total_final + 1
res = get_numbers(str(cand.exp_years))
if res:
sort_res = sorted(res)
years = float(sort_res[-1])
else:
years = 0
#print(cand.filename + " " + str(years))
if int(min_expyear) <= years and years <= int(max_expyear):
t = 0
for sk in skill:
if sk == '':
t = t + 1
if t == len(skill):
if check_any(cand, any_key_list) == 1 and check_all(
cand, all_key_list) == 1:
filter_list.append(cand)
total = total + 1
else:
if str(skill_cond) == "0" and str(
skill_iter) == "None":
k = 0
if cand.skills:
text = str(cand.complete_resume)
else:
text = str(cand.skills)
freqdist = nltk.FreqDist(text.lower().split())
for sk in skill:
if sk != '':
for v in freqdist.keys():
if remove_number(v).find(
sk.lower().strip()) >= 0:
if check_any(
cand, any_key_list
) == 1 and check_all(
cand, all_key_list) == 1:
filter_list.append(cand)
total = total + 1
keys_matched.append(sk + ", ")
k = 1
break
if k == 1:
break
elif str(skill_cond) == "1" and str(
skill_iter) == "None":
if cand.skills:
text = str(cand.complete_resume)
else:
text = str(cand.skills)
freqdist = nltk.FreqDist(text.lower().split())
p = 0
for sk in skill:
if sk != '':
p = p + 1
k = 0
for sk in skill:
if sk != '':
for v in freqdist.keys():
if remove_number(v).find(
sk.lower().strip()) >= 0:
if check_any(
cand, any_key_list
) == 1 and check_all(
cand, all_key_list) == 1:
keys_matched.append(sk + ", ")
k = k + 1
if k == p:
filter_list.append(cand)
total = total + 1
elif str(skill_cond) == "0" and str(skill_iter) == "1":
text = str(cand.complete_resume)
freqdist = nltk.FreqDist(text.lower().split())
k = 0
for sk in skill:
if sk != '':
for v in freqdist.keys():
if remove_number(v).find(
sk.lower().strip()) >= 0:
if check_any(
cand, any_key_list
) == 1 and check_all(
cand, all_key_list) == 1:
filter_list.append(cand)
total = total + 1
keys_matched.append(sk + ", ")
k = 1
break
if k == 1:
break
elif str(skill_cond) == "1" and str(skill_iter) == "1":
text = str(cand.complete_resume)
freqdist = nltk.FreqDist(text.lower().split())
p = 0
for sk in skill:
if sk != '':
p = p + 1
k = 0
for sk in skill:
if sk != '':
for v in freqdist.keys():
if remove_number(v).find(
sk.lower().strip()) >= 0:
if check_any(
cand, any_key_list
) == 1 and check_all(
cand, all_key_list) == 1:
k = k + 1
keys_matched.append(sk + ", ")
if k == p:
filter_list.append(cand)
total = total + 1
set_keys = set(keys_matched)
exp_matched = str(mini) + " , " + str(maxi)
list_set_keys = list(set_keys)
keywords_list = []
if any_key_list != ['']:
keywords_list = any_key_list
if all_key_list != ['']:
[keywords_list.append(val) for val in all_key_list]
print(keywords_list)
keywords_matched.append(" | ".join(list(set(keywords_list))))
p = 0
for sk in skill:
if sk == '':
p = p + 1
if p == len(skill):
val = " [ ] "
else:
val = ""
if len(filter_list) == 0:
empty = "NO MATCHES FOUND"
filter_link = []
return render_template('result.html',
result=filter_list,
skills=val + " ".join(list_set_keys),
exp=" " + exp_matched + " ",
key=" ".join(keywords_matched),
items=len(filter_list),
count=str(total) + "/" +
str(total_final),
empty=empty,
url=filter_link,
all="",
any="",
from_search=1)
else:
filter_link = []
for cand in filter_list:
url_link = cand.resume
filter_link.append(url_link.split("/")[-1])
result_list = rank_resume(filter_list, skill, all_key_list,
any_key_list)
return render_template('result.html',
result=result_list,
skills=val + " ".join(list_set_keys),
exp=" " + exp_matched + " ",
key=" ".join(keywords_matched),
items=len(filter_list),
count=str(total) + "/" +
str(total_final),
url=filter_link,
all="",
any="",
from_search=1)
else:
empty = "NO MATCHES FOUND"
return render_template('result.html',
empty_reload=empty,
all="",
any="",
from_search=1)
def main():
operations = [addr, addi, mulr, muli, banr, bani, borr, bori, setr, seti, gtir, gtri, gtrr, eqir, eqri, eqrr]
puzzle = load_input('input.txt')
before = None
instruction = None
part1_count = 0
possible_int = {}
for (k,line) in enumerate(puzzle):
if k % 4 == 0:
before = get_numbers(line)
if k % 4 == 1:
instruction = get_numbers(line)
if k % 4 == 2:
after = get_numbers(line)
opcode = instruction[0]
# get the operations that this instruction could correspond to
possible = check(before,after,instruction[1:], operations)
# count the number of samples that behave like three or more opcodes
if len(possible) >= 3:
part1_count += 1
# we keep intersecting the list of possible operations based on the result of each input
if opcode not in possible_int:
possible_int[opcode] = possible
else:
possible_int[opcode] = intersection(possible_int[opcode],possible)
# for part 1, count how many sample in our input behave like three or more opcodes
print('Part 1:', part1_count)
secured = []
# for part 2, we need to figure out which opcode corresponds to which operation
# at each stage, there is always (at least) one opcode that we can deduce
while len(secured) < 15:
for key in possible_int:
# if we've already figured this one out, skip it
if key in secured:
continue
# if there's only 1 possibility for what this opcode could be, then we're done!
if len(possible_int[key]) == 1:
secured.append(key)
new_possible_int = possible_int.copy()
# remove this operation as a possibility for all other opcodes
for k in possible_int:
if k == key:
continue
if possible_int[key][0] in new_possible_int[k]:
new_possible_int[k].remove(possible_int[key][0])
possible_int = new_possible_int
break
# apply the operations to our puzzle input
registers = [0,0,0,0]
for line in load_input('input2.txt'):
op, a, b, c = get_numbers(line)
registers = operations[possible_int[op][0]](registers,a,b,c)
print('Part 2:', registers[0])
def generate_bridges(bridge, components):
if bridge is None:
bridge = [(0, 0)]
cur = bridge[-1][1]
bridges = []
for b in components[cur]:
if not ((cur, b) in bridge or (b, cur) in bridge):
new_bridge = bridge + [(cur, b)]
bridges.append(new_bridge)
bridges.extend(generate_bridges(new_bridge, components))
return bridges
for line in puzzle_input:
x, y = get_numbers(line)
components[x].add(y)
components[y].add(x)
bridges = generate_bridges(None, components)
bridge_lengths = defaultdict(list)
for bridge in bridges:
bridge_lengths[len(bridge)].append(sum(sum(n) for n in bridge))
print('Part 1:', max(sum(sum(n) for n in bridge) for bridge in bridges))
print('Part 2:', max(bridge_lengths[max(bridge_lengths)]))
r = 0
# the risk of a given rctangle is the sum of the numerical region types
# within that rectangle
for y in range(ymax + 1):
for x in range(xmax + 1):
r += region_type(x, y)
return r
def is_valid(p):
return p[0] >= 0 and p[1] >= 0
puzzle_input = load_input('input.txt')
depth = get_numbers(puzzle_input[0])[0]
targetX, targetY = get_numbers(puzzle_input[1])
# this is a (rough) upper bound for the maximum length of the shortest path to the target point
maxTime = 8 * targetX + 8 * targetY
print('Part 1:', risk(targetX, targetY))
# PART 2
print('Computing geologic index...')
gi = {}
# we precompute some geologic indices to overcome the recursion limit of python
for x in range(1000):
for y in range(1000):
gi[(x, y)] = geologic_index(x, y)
print('done')
from utils import load_input, get_numbers, manhattan_distance
import numpy as np
def triangular(n):
return n*(n+1) // 2
v = {}
a = {}
p = {}
for (k,line) in enumerate(load_input('puzzle_inputs/Day20.txt')):
px,py,pz,vx,vy,vz,ax,ay,az = get_numbers(line)
v[k] = (vx,vy,vz)
a[k] = (ax,ay,az)
p[k] = (px,py,pz)
v = np.array(list(v.values()), dtype='int64')
a = np.array(list(a.values()), dtype='int64')
p = np.array(list(p.values()), dtype='int64')
# part 1
# a closed for for the position after t steps is
# p_i(t) = p_i(0) + t * v_i + triangular(t) * a_i
large_number = 500000000
d = p+large_number*v + triangular(large_number)*a
print('Part 1:', min(enumerate(d),key=lambda q:manhattan_distance(q[1],(0,0,0)))[0])
return s
noded = {}
puzzle_input = load_input('puzzle_inputs/Day7.txt')
g = Graph()
programs = set()
targets = set()
# parse puzzle input into a graph
for line in puzzle_input:
program_name = line.split()[0]
programs.add(program_name)
weight = get_numbers(line)[0]
n = get_or_create_node(program_name, weight)
if '-> ' not in line:
continue
sline = line.split('-> ')[1].split(', ')
for p in sline:
child_node = get_or_create_node(p)
e = Edge(n,child_node)
g.add_edge(e)
targets.add(p)
# start at the bottom until we find the first node that isn't misbalanced
return []
if idx + length < len(li):
return li[:idx] + li[idx:idx+length][::-1] + li[idx+length:]
else:
# have some overflow
overflow = length - (len(li) - idx)
sublist = (li[idx:] + li[:overflow])[::-1]
return sublist[len(li)-idx:] + li[overflow:idx] + sublist[:len(li)-idx]
if __name__ == '__main__':
numbers = list(range(256))
current_position = 0
skip_size = 0
lengths = get_numbers(load_input('puzzle_inputs/Day10.txt')[0])
for length in lengths:
numbers = wrap_reverse(numbers, current_position % len(numbers), length)
current_position += length + skip_size
skip_size += 1
print('Part 1:', numbers[0] * numbers[1])
# PART 2
lengths = [ord(c) for c in load_input('puzzle_inputs/Day10.txt')[0]]
lengths.extend([17, 31, 73, 47, 23])
current_position = 0
skip_size = 0
numbers = list(range(256))
@memoize
def get_or_create_node(n):
node = GraphNode(n)
nodes.add(node)
return node
puzzle_input = load_input('puzzle_inputs/Day12.txt')
nodes = set()
g = Graph()
for line in puzzle_input:
pg = get_numbers(line)
src = pg[0]
targets = pg[1:]
src_node = get_or_create_node(src)
for target in targets:
target_node = get_or_create_node(target)
g.add_edge_by_node(src_node, target_node)
groups = 0
while True:
current_parent = nodes.pop()
network = set([current_parent])
process = set([current_parent])
2637 136 3222 591 2593 1982 4506 195 4396 3741 2373 157 4533 3864 4159 142
1049 1163 1128 193 1008 142 169 168 165 310 1054 104 1100 761 406 173
200 53 222 227 218 51 188 45 98 194 189 42 50 105 46 176
299 2521 216 2080 2068 2681 2376 220 1339 244 605 1598 2161 822 387 268
1043 1409 637 1560 970 69 832 87 78 1391 1558 75 1643 655 1398 1193
90 649 858 2496 1555 2618 2302 119 2675 131 1816 2356 2480 603 65 128
2461 5099 168 4468 5371 2076 223 1178 194 5639 890 5575 1258 5591 6125 226
204 205 2797 2452 2568 2777 1542 1586 241 836 3202 2495 197 2960 240 2880
560 96 336 627 546 241 191 94 368 528 298 78 76 123 240 563
818 973 1422 244 1263 200 1220 208 1143 627 609 274 130 961 685 1318
1680 1174 1803 169 450 134 3799 161 2101 3675 133 4117 3574 4328 3630 4186
1870 3494 837 115 1864 3626 24 116 2548 1225 3545 676 128 1869 3161 109
890 53 778 68 65 784 261 682 563 781 360 382 790 313 785 71
125 454 110 103 615 141 562 199 340 80 500 473 221 573 108 536
1311 64 77 1328 1344 1248 1522 51 978 1535 1142 390 81 409 68 352""".split(
"\n")
checksum = 0
for line in puzzle_input:
line_numbers = get_numbers(line)
for q in line_numbers:
for p in line_numbers:
if p <= q:
continue
# ok, so p >= q
if (p % q == 0):
checksum += p // q
print(checksum)
for f in glob.glob(folder):
if "chord" in f:
loads = []
for line in fileinput.input(f+"/control.queries"):
if "loadFreqs" in line:
loads.append(line)
if len(loads) < 1:
print "coudln't find loads for " + f
continue
loads_d = []
for i in loads:
loads_d.append(get_num_dict(i))
chord_loads.append(get_50_percent(loads_d[0]))
x_values1.append(next(get_numbers(f)))
for f in glob.glob(folder):
if "best" in f:
loads = []
for line in fileinput.input(f+"/control.queries"):
if "loadFreqs" in line:
loads.append(line)
if len(loads) < 1:
print "coudln't find loads for " + f
continue
loads_d = []
for i in loads:
loads_d.append(get_num_dict(i))
best_loads.append(get_50_percent(loads_d[0]))
elif move[0] == 's':
x = move[1]
new_state = new_state[-x:] + new_state[:-x]
return new_state
puzzle_input = load_input("puzzle_inputs/Day16.txt")[0].split(",")
dance = []
for move in puzzle_input:
move_type = move[0]
if move_type == 's':
spin_by = get_numbers(move)[0]
dance.append(('s', spin_by))
elif move_type == 'x':
v1, v2 = get_numbers(move)
dance.append(('x', v1, v2))
else:
z = move[1:].replace('/', '')
dance.append(('p', z[0], z[1]))
state = [letter(q) for q in range(16)]
state = perform_dance(state)
print('Part 1:', ''.join(state))
# For part 2, we do some simple repetition detection
state = [letter(q) for q in range(16)]
visited = {}
wealth = banks[max_bank]
banks[max_bank] = 0
current_bank = (max_bank + 1) % len(banks)
while wealth > 0:
banks[current_bank] += 1
current_bank = (current_bank + 1) % len(banks)
wealth -= 1
puzzle_input = load_input('puzzle_inputs/Day6.txt')
banks = {}
for (k, line) in enumerate(get_numbers(puzzle_input[0])):
banks[k] = int(line)
bank_state = tuple(banks.values())
visited = set()
seen_at = {}
steps = 0
while bank_state not in visited:
seen_at[bank_state] = steps
visited.add(bank_state)
redistribute_blocks()
bank_state = tuple(banks.values())
steps += 1
print('Part 1:', len(visited))
from utils import load_input, get_numbers
from elfcode import *
puzzle_input = load_input('input.txt')
og_instruction_pointer = get_numbers(puzzle_input[0])[0]
instruction_pointer = 0
instructions = []
for (k, line) in enumerate(puzzle_input[1:]):
l = line.split(" ")
instructions.append((eval(l[0]), *get_numbers(line)))
register = [0, 0, 0, 0, 0, 0]
while True:
# write the value of the instruction pointer to the corresponding register
register[og_instruction_pointer] = instruction_pointer
# now do the code
p, x, y, z = instructions[instruction_pointer]
p(register, x, y, z)
# now set the instruction pointer equal to the value of the corresponding register
instruction_pointer = register[og_instruction_pointer]
instruction_pointer += 1
if instruction_pointer < 0 or instruction_pointer >= len(instructions):
print('Out of range')
break
if to_match in f:
loads = []
for line in fileinput.input(f+"/control.queries"):
if "loadFreqs" in line:
loads.append(line)
if len(loads) < 2:
print "coudln't find loads for " + f
continue
loads_d = []
for i in loads:
loads_d.append(get_num_dict(i))
chord_loads.append(get_50_percent(loads_d[0]))
vserver_loads.append(get_50_percent(loads_d[1]))
x_values.append(next(get_numbers(f)))
plt.figure().set_size_inches(6.5,5)
plt.xlabel("#Nodes")
plt.ylabel("% of nodes storing 50% of data")
from matplotlib.ticker import EngFormatter
formatter = EngFormatter(places=0)
plt.gca().xaxis.set_major_formatter(formatter)
plt.ylim(0,0.5)
plt.xlim(0,1000000)
out_file = "intro_lb_chord.pdf"
d1 = prepare(x_values,chord_loads)
if __name__ == "__main__":
import doctest
doctest.testmod()
folder = "../tmp/*"
x_values1 = []
x_values2 = []
chord_values = []
best_values = []
for f in glob.glob(folder):
if "chord" in f or "best" in f:
print "at",f
count = 0
for line in fileinput.input(f+"/control.messagecost.weighted"):
ns = get_numbers(line)
count += list(ns)[-1]
nsize = next(get_numbers(f))
if "chord" in f:
chord_values.append(count/nsize)
x_values1.append(nsize)
else:
best_values.append(count/nsize)
x_values2.append(nsize)
plt.figure().set_size_inches(6.5,5)
plt.xlabel("#Nodes")
plt.ylabel("Per-node Replication Maintenance Cost (KB)")
return r
if __name__ == "__main__":
import doctest
doctest.testmod()
f = argv[1]
d = dict()
for i in ["J","K","D","M"]:
d[i] = {'x':[],'y':[]}
s = {'x':[],'y':[]}
for line in fileinput.input(f+"/out.execution"):
if line.startswith("J") or line.startswith("K") or line.startswith("D") or line.startswith("M"):
t,n,k = get_numbers(line)
a = 27000
if t < a:
continue
d[line[:1]]['x'].append(t)
d[line[:1]]['y'].append(k)
s['x'].append(t)
s['y'].append(n)
for i in d:
print "sum for",i,sum(d[i]['y'])/1000,"x1000"
for i in d:
print "avg for",i,sum(d[i]['y'])/float(len(d[i]['y']))
for i in d:
print "std for",i,np.std(d[i]['y'])
def main():
# get the list of points
points = [get_numbers(q) for q in load_input('input.txt')]
print('Part 1:', part1(points))
print('Part 2:', part2(points))