def main():
primes = prime_sieve(100_000)
@lru_cache(maxsize=None)
def is_prime(n, primes=primes, primes_set=frozenset(primes)):
if n < 100_000:
return n in primes_set
for p in primes:
if not n % p:
return False
if p*p > n:
return True
def count_sets(cnt, prev, digits):
if not digits:
return cnt + 1
for i in range(1, len(digits)+1):
for p in permutations(digits, i):
if i == 1:
if p[0] not in "2357":
continue
elif p[-1] not in "1379":
continue
x = int("".join(p))
if x > prev and is_prime(x):
cnt = count_sets(cnt, x, digits.difference(p))
return cnt
return count_sets(0, 0, frozenset("123456789"))
def main():
limit = int(150e6)
primes = prime_sieve(int(150e6))
N = int(ceil(math.sqrt(150e6)))
for n in range(N):
candidates
def solve_for_n(n, sieve_size=10000000):
primes, sieve = prime_sieve(sieve_size)
for prime in primes:
dig_array = digit_array(prime / 10)
exn = explode_number(prime)
for i in range(10):
if dig_array[i] == 0:
continue
misses = 0
inds = inds_of_n(exn, i)
if inds == []:
continue
for testnum in range(i + 1, 10): #not correct bound
if misses + i > n:
break
rplc = replace_inds(exn, inds, testnum)
if sieve[rplc] == 0:
misses += 1
if misses + i <= 10 - n:
return prime
return None
def gennum(ndivs):
exps = utils.factors(ndivs)
exps.reverse()
exps = [exp - 1 for exp in exps]
primes = utils.prime_sieve(100)
g = izip(primes, exps)
n = [pow(item[0], item[1]) for item in g]
return reduce(lambda x, y: x * y, n)
def fn(self):
count = 0
primes = prime_sieve(self._limit)
for i, v in enumerate(primes):
if v:
circular_nums = self.circular_num(i)
if all(primes[p] for p in circular_nums):
count += 1
return count
def prime_counting(target):
target += 1
primes = utils.prime_sieve(target + 1)
pi_counts = [0] * (target + 1)
primes_seen = 0
for n in range(target + 1):
if primes[n]:
primes_seen += 1
pi_counts[n] = primes_seen
ks = [0] * (target + 1)
nodes = {}
last_pi = None
last_node = None
last_prime = False
cut_off = pi_counts[target]
for n in range(target):
pi = pi_counts[n]
if pi == last_pi and not last_prime:
for c in last_node.cs:
ks[c] += 1
nodes[n] = last_node
continue
# if pi > cut_off:
# continue
parent = None
comp = True
if pi > 0:
parent = nodes[pi]
comp = not primes[n]
new_node = node(n, comp, parent)
# print n, new_node.cs
for c in new_node.cs:
ks[c] += 1
nodes[n] = new_node
last_node = new_node
last_pi = pi
last_prime = primes[n]
def P(n):
""" Let P(n) be the product of all p(n,k) that are larger than 0. """
ps = []
for i, count in enumerate(ks):
if count > 0:
# print i, count
ps.append(count)
return reduce(lambda x, y: x * y, ps)
return P(target - 1)
def hamming_numbers(limit=10**9, hamming_cutoff=100):
primes = [
p for p in utils.prime_sieve(limit, as_list=True)
if p > hamming_cutoff and p < limit
]
hammings = [True] * limit
for n in primes:
for m in range(n, limit, n):
hammings[m] = False
print len([h for h in hammings if h is True])
def main():
primes = prime_sieve(1000000)
primes_set = set(primes)
cnt = 0
for p in primes:
for r in rotations(p):
if r not in primes_set:
break
else:
cnt += 1
return cnt
def squarefree_approach_1(limit=2**50):
upper_bound = int(math.floor(math.sqrt(limit)))
primes = utils.prime_sieve(upper_bound, as_list=True)
squares = set()
for p in primes:
sqr = p**2
for q in xrange(sqr, limit / 2, sqr):
squares.add(q)
return len(squares)
def main():
# n cannot be prime^k (k = [1, 2, ...]) because prime^k and phi(prime^k)
# cannot be a permutation of each other
lim = 10**7
primes = prime_sieve(4000)
last_idx = len(primes)-1
# the max prime <= sqrt(10**7) is 3137
middle_idx = bisect_left(primes, 3137)
def candidate_primes(low_idx):
for high_idx in range(last_idx, low_idx, -1):
if primes[low_idx]*primes[high_idx] <= lim:
yield high_idx
class Number(object):
"""Number which is the product of two primes"""
def __init__(self, low_idx, gen):
self.low_idx = low_idx
self.gen = gen
low = primes[low_idx]
high = primes[next(gen)]
self.number = low*high
self.phi = (low-1)*(high-1)
def __lt__(self, other):
return self.number*other.phi < other.number*self.phi
queue = []
for low_idx in range(middle_idx, -1, -1):
heappush(queue, Number(low_idx, candidate_primes(low_idx)))
while queue:
number = heappop(queue)
if is_permutation(number.number, number.phi):
return number.number
try:
heappush(queue, Number(number.low_idx, number.gen))
except StopIteration:
pass
def squarefree_approach_2(limit=2**50):
upper_bound = int(math.floor(math.sqrt(limit)))
# start at the top prime
primes = utils.prime_sieve(upper_bound, as_list=True)
primes = sorted(primes, reverse=True)
primes_sqrd = [p**2 for p in primes]
# divide the limit by the number of times this fits within in it
print len(primes_sqrd)
prev_counts = {}
non_squares = 0
for (i, p) in enumerate(primes_sqrd):
count = int(math.floor(limit / p)) + 1
count -= sum(
[int(math.floor(prev_p / p)) for prev_p in primes_sqrd[:i]])
non_squares += count
prev_counts[p] = count
return limit - non_squares
def main():
# n cannot be prime^k (k = [1, 2, ...]) because prime^k and phi(prime^k)
# cannot be a permutation of each other
lim = 10**7
primes = prime_sieve(4000)
last_idx = len(primes) - 1
# the max prime <= sqrt(10**7) is 3137
middle_idx = bisect_left(primes, 3137)
def candidate_primes(low_idx):
for high_idx in range(last_idx, low_idx, -1):
if primes[low_idx] * primes[high_idx] <= lim:
yield high_idx
class Number(object):
"""Number which is the product of two primes"""
def __init__(self, low_idx, gen):
self.low_idx = low_idx
self.gen = gen
low = primes[low_idx]
high = primes[next(gen)]
self.number = low * high
self.phi = (low - 1) * (high - 1)
def __lt__(self, other):
return self.number * other.phi < other.number * self.phi
queue = []
for low_idx in range(middle_idx, -1, -1):
heappush(queue, Number(low_idx, candidate_primes(low_idx)))
while queue:
number = heappop(queue)
if is_permutation(number.number, number.phi):
return number.number
try:
heappush(queue, Number(number.low_idx, number.gen))
except StopIteration:
pass
def main():
lim = 50 * 10**6
lim_square = int((lim - 2**3 - 2**4)**(1 / 2))
lim_cube = int((lim - 2**2 - 2**4)**(1 / 3))
lim_fourth = int((lim - 2**2 - 2**3)**(1 / 4))
primes = prime_sieve(lim_square)
squares = [p**2 for p in primes]
cubes = [p**3 for p in primes if p <= lim_cube]
fourths = [p**4 for p in primes if p <= lim_fourth]
numbers = set([
square + cube + fourth for fourth in fourths for cube in cubes
if fourth + cube < lim for square in squares
if fourth + cube + square < lim
])
return len(numbers)
def main():
LIMIT = 28123
primes = prime_sieve(int(sqrt(LIMIT)))
a_numbers = [i for i in range(12, LIMIT+1) if sum_of_proper_divisors(i, primes) > i]
a_numbers_set = frozenset(a_numbers)
def not_sum(n):
lim = n//2
for a in a_numbers:
if a > lim:
break
if n - a in a_numbers_set:
return False
return True
return sum(filter(not_sum, range(LIMIT, 0, -1)))
def main():
primes = prime_sieve(100_000)
res = 0
for prime in primes:
if prime < 7:
res += prime
continue
f1, f2 = prime - 1, 1
while f1 % 2 == 0:
f1 //= 2
f2 *= 2
while f1 % 5 == 0:
f1 //= 5
f2 *= 5
if f1 == 1 or pow(10, f2, prime) == 1:
continue
res += prime
return res
def main():
lim = 1000000
primes = prime_sieve(lim)
primes_set = frozenset(primes)
cnt, res = 21, 953
for i in range(len(primes)-21):
s = primes[i]
for k in range(i+1, len(primes)):
s += primes[k]
if s > lim: break
if s in primes_set and k - i > cnt:
cnt = k - i
res = s
return res
def main():
lim = 50*10**6
lim_square = int((lim - 2**3 - 2**4) ** (1/2))
lim_cube = int((lim - 2**2 - 2**4) ** (1/3))
lim_fourth = int((lim - 2**2 - 2**3) ** (1/4))
primes = prime_sieve(lim_square)
squares = [p**2 for p in primes]
cubes = [p**3 for p in primes if p <= lim_cube]
fourths = [p**4 for p in primes if p <= lim_fourth]
numbers = set([
square + cube + fourth
for fourth in fourths
for cube in cubes if fourth + cube < lim
for square in squares if fourth + cube + square < lim
])
return len(numbers)
def main():
lim = 1000000
primes = prime_sieve(lim)
primes_set = frozenset(primes)
cnt, res = 21, 953
for i in range(len(primes) - 21):
s = primes[i]
for k in range(i + 1, len(primes)):
s += primes[k]
if s > lim: break
if s in primes_set and k - i > cnt:
cnt = k - i
res = s
return res
def main():
primes = prime_sieve(8500)
@lru_cache(maxsize=None)
def check(p1, p2):
return is_prime(int(f'{p1}{p2}')) and is_prime(int(f'{p2}{p1}'))
def candidates(p):
for i in range(p[-1]+1, len(primes)):
if all(check(primes[i], primes[j]) for j in p):
if len(p) == 4:
yield (*p, i)
else:
yield from candidates((*p, i))
for i in range(len(primes)):
try:
quint = next(candidates((i,)))
return sum(primes[x] for x in quint)
except StopIteration:
pass
def main():
primes = prime_sieve(20000)
primes_set = frozenset(primes)
t = product = 0
for b in primes: # b has to be prime (0^2+0*a+b=b)
if b > 1000:
break
for a in (p - b - 1 for p in primes): # n=1, a+b+1 has to be prime
if a > 1000:
break
n = 0
while n*n + a*n + b in primes_set:
if n > t:
t, product = n, a*b
n += 1
return product
def main():
primes = prime_sieve(20000)
primes_set = frozenset(primes)
t = product = 0
for b in primes: # b has to be prime (0^2+0*a+b=b)
if b > 1000:
break
for a in (p - b - 1 for p in primes): # n=1, a+b+1 has to be prime
if a > 1000:
break
n = 0
while n * n + a * n + b in primes_set:
if n > t:
t, product = n, a * b
n += 1
return product
def prime_generating_integers(upper_limit=1000):
"""
Notes:
1. Only even integers. Any odd integer + 1 won't be prime
2. Relatedly, can filter on only number one less than a prime, since
the num divided by itself == 1, so n+1 needs to be prime
3. Add one to the sum
"""
start = time.time()
PRIME_LIST = utils.prime_sieve(upper_limit, True)
PRIMES = set(PRIME_LIST)
print(time.time() - start)
start = time.time()
ANS = set([p - 1 for p in PRIME_LIST if 2 + p / 2 in PRIMES])
for i, p in enumerate(PRIME_LIST):
for n in range(p, upper_limit, p):
if n in ANS:
while n % p == 0:
if p + n / p not in PRIMES:
ANS.discard(n)
break
p *= PRIME_LIST[i]
p = PRIME_LIST[i]
if n in ANS:
while n % p == 0:
if p + n / p not in PRIMES:
ANS.discard(n)
break
p += PRIME_LIST[i]
print(time.time() - start)
start = time.time()
assert all(
[n in ANS for n in [2, 6, 30, 42, 58, 78, 210, 310, 330, 382, 462]])
assert all([n not in ANS for n in [8, 12, 26, 32, 36, 270, 378]])
return sum(ANS) + 1 # also include 1...
def prime_pair_sets(limit=800000, key_limit=670, target_l=4):
"""
1. first create all pairings between numbers
2. then try and find the set with the greatest common value
"""
P_SET = utils.prime_sieve(limit)
P_SIEVE = [x for x, p in enumerate(P_SET) if p]
# cpls = prime couples
cpls = {p: set([p]) for p in P_SIEVE}
for p in [p for p in P_SIEVE if p > 10]:
prime_string = str(p)
for i in range(1, len(prime_string)):
f_half = prime_string[:i]
f_half_int = int(f_half)
s_half = prime_string[i:]
if s_half[0] == "0":
# took way too long to find this
continue
s_half_int = int(s_half)
flipped = int(s_half + f_half)
if flipped > limit:
continue
if P_SET[f_half_int] and P_SET[s_half_int] and P_SET[flipped]:
cpls[f_half_int].add(s_half_int)
cpls[s_half_int].add(f_half_int)
assert permute_add(cpls, cpls[673], set([673]), 4) == set([673, 3, 109, 7])
best_set = []
for k in [k for k in sorted(cpls.keys(), reverse=True) if k > key_limit]:
local_best = permute_add(cpls, cpls[k], set([k]), target_l)
if compare_sets(local_best, best_set):
best_set = local_best
print best_set, sum(best_set)
def main():
primes = [p for p in prime_sieve(10000)
if p > 1000 and p not in {1487, 4817, 8147}]
primes_set = frozenset(primes)
def anagram_hash(num, primes=primes):
"""
Calculate a unique signature or perfect hash by multiplying prime
numbers corresponding to each digit in a number.
"""
sig = 1
while num:
sig *= primes[num % 10]
num //= 10
return sig
for p1 in primes:
p2 = p1 + 3330
p3 = p1 + 6660
if (p2 in primes_set and p3 in primes_set and
anagram_hash(p1) == anagram_hash(p2) == anagram_hash(p3)):
return f"{p1}{p2}{p3}"
def main():
primes = [
p for p in prime_sieve(10000)
if p > 1000 and p not in {1487, 4817, 8147}
]
primes_set = frozenset(primes)
def anagram_hash(num, primes=primes):
"""
Calculate a unique signature or perfect hash by multiplying prime
numbers corresponding to each digit in a number.
"""
sig = 1
while num:
sig *= primes[num % 10]
num //= 10
return sig
for p1 in primes:
p2 = p1 + 3330
p3 = p1 + 6660
if (p2 in primes_set and p3 in primes_set
and anagram_hash(p1) == anagram_hash(p2) == anagram_hash(p3)):
return f"{p1}{p2}{p3}"
def main():
lim = 2000000
return sum(prime_sieve(lim))
# Problem 7
"""By listing the first six prime numbers: 2, 3, 5, 7, 11, and 13, we can see that the 6th prime is 13.
What is the 10 001st prime number?"""
import utils
if __name__ == '__main__':
# According to prime number theorem, the number of primes before the number n is,
# #p ~= n/ln(n), which means that to find the 10,001st prime, we have n ~= 117000
n = 117000
primes = utils.prime_sieve(n)
while len(primes) < 10001:
n = int(n * 1.10) # Increment by 10% until we have enough primes
utils.prime_sieve(n)
print(primes[10000])
import utils
from itertools import izip
import math
def main2():
ndivs2 = 1998
n2 = gennum(ndivs2)
print math.sqrt(n2)
def gennum(ndivs):
exps = utils.factors(ndivs)
exps.reverse()
exps = [exp - 1 for exp in exps]
primes = utils.prime_sieve(100)
g = izip(primes, exps)
n = [pow(item[0], item[1]) for item in g]
return reduce(lambda x, y: x * y, n)
def gen2(primes, limit):
k = math.ceil(math.log(limit) / math.log(3))
return k
if __name__ == "__main__":
solutions = 4000000 * 4000000
primes = utils.prime_sieve(1000)
print gen2(primes, solutions)
import utils
import copy
"""
By replacing the 1st digit of the 2-digit number *3, it turns out that six of the nine possible values: 13, 23, 43, 53, 73, and 83, are all prime.
By replacing the 3rd and 4th digits of 56**3 with the same digit, this 5-digit number is the first example having seven primes
among the ten generated numbers, yielding the family: 56003, 56113, 56333, 56443, 56663, 56773, and 56993.
Consequently 56003, being the first member of this family, is the smallest prime with this property.
Find the smallest prime which, by replacing part of the number (not necessarily adjacent digits) with the same digit, is part of an eight prime value family.
"""
PRIMES = utils.prime_sieve(1000000, True)
P_MUTATED_MAP = {}
def insertAtAllLocs(digLocs, digits, prime):
"""Insert the mutated prime into the map as a new set, if it's not already a key,
or append to the existing set if it is
"""
for locs in digLocs:
# all subsets of mutable locations
mutableNum = copy.copy(digits)
for l in locs:
mutableNum[l] = "*"
mutatedNum = utils.join(mutableNum, True)
if mutatedNum in P_MUTATED_MAP:
P_MUTATED_MAP[mutatedNum].add(prime)
else:
P_MUTATED_MAP[mutatedNum] = set([prime])
#!/usr/bin/env python3
"""Problem 12: Highly divisible triangular number"""
from functools import lru_cache, partial
from itertools import count
from utils import num_of_divisors, prime_sieve
num_of_divisors = lru_cache(maxsize=None)(partial(num_of_divisors,
primes=prime_sieve(1000)))
def main():
for n in count(1):
divisors = (num_of_divisors((n + 1) // 2) * num_of_divisors(n) if n
& 1 else num_of_divisors(n // 2) * num_of_divisors(n + 1))
if divisors >= 500:
return n * (n + 1) // 2
if __name__ == "__main__":
print(main())
#!/usr/bin/env python
"""Problem 58: Spiral primes"""
from utils import prime_sieve
from math import sqrt
primes = prime_sieve(20000)
primes_set = set(primes)
def is_prime(n, primes=primes, primes_set=primes_set):
if n in primes_set:
return True
max_divisor = int(sqrt(n))
for prime in primes:
if not n % prime:
return False
if prime > max_divisor:
return True
# all primes are of the form c#k + i for i < c# and i coprime to c#
# let c = 6, c# = 2*3*5 = 30
divisor = 19980
while divisor <= max_divisor:
if not (n % (divisor + 1) and n % (divisor + 7) and n %
def main():
lim = 2000000
return sum(prime_sieve(lim))
#!/usr/bin/python
from math import log, ceil, sqrt
from partitions import partitions_gen as partitions
from utils import prime_sieve
primes = prime_sieve(200)
def main():
nsols = int(4000000)
limit = 2 * nsols + 1
K = ceil(log(2*nsols)/log(3))
print K
sols = {}
for k in range(1,int(K)+2):
pn = partitions(int(k)+1)
candidates = {}
for p in pn:
contrib = [2*x +1 for x in p]
ndivs = reduce(lambda x,y: x*y, contrib)
candidates[ndivs] = (contrib, p)
keys = candidates.keys()
keys.sort()
keys = [key for key in keys if key >= limit]
if keys:
key = keys[0]
contrib, a = candidates[key]
a.reverse()
prods = [pow(pi, ai) for pi, ai in zip(primes, a)]
num = reduce(lambda x, y: x * y, prods)
print num, k, key, prods[:7], prods[-1]
# Problem 10
"""The sum of the primes below 10 is 2 + 3 + 5 + 7 = 17.
Find the sum of all the primes below two million."""
import utils
if __name__ == '__main__':
primes = utils.prime_sieve(2000000)
total = 0
for prime in primes:
total += prime
print(total)
def fn(self):
sieve = prime_sieve(self.bound)
sieve = [i for i, v in enumerate(sieve) if v]
return sum(sieve)
def fn(self):
primes = prime_sieve(self.bound)
primes = [i for i, v in enumerate(primes) if v][1:]
bag = {i: self.terms(i) for i in primes if i is not 2 and i is not 5}
return max(bag, key=bag.get)
def fn(self):
sieve = prime_sieve(self.limit)
sieve = [i for i, v in enumerate(sieve) if v]
return sieve[self.bound]
import utils
"""
Euler's Totient function, q(n) [sometimes called the phi function], is used to determine the number of numbers less than n which are relatively prime to n.
For example, as 1, 2, 4, 5, 7, and 8, are all less than nine and relatively prime to nine, q(9)=6.
It can be seen that n=6 produces a maximum n/q(n) for n <= 10.
Find the value of n <= 1,000,000 for which n/q(n) is a maximum.
"""
PRIME_LIST = utils.prime_sieve(1000000, as_list=True)
FACTOR_MAP = utils.gen_factor_map()
def phi(k):
"""
return the number of relative primes
number of ints, n, from 1 <= n_i <= k, where GCD(i, n) == 1
"""
"""
Misc notes used in dev:
3 % 3 -> 3 - 1
4 % 2 -> 2. 4 - 2
10 % 2 -> 5. 10 - 5
5 % 5 -> 5 - 1
30 / 2 -> 15. 30 - 15
15 / 3 -> 5. 15 - 5
10 / 5 -> 1. 10 - 2
