Example #1
0
def problem49():
    """ 
    The arithmetic sequence, 1487, 4817, 8147, in which each of the terms 
    increases by 3330, is unusual in two ways: (i) each of the three terms 
    are prime, and, (ii) each of the 4-digit numbers are permutations of 
    one another.

    There are no arithmetic sequences made up of three 1-, 2-, or 3-digit 
    primes, exhibiting this property, but there is one other 4-digit 
    increasing sequence.

    What 12-digit number do you form by concatenating the three terms 
    in this sequence?
    """
    start_n = 1491
    end_n = 9999

    prime_map = mlib.prime_sieve(10**5, output={})
    for n in range(start_n, end_n, 2):
        for step in range(2, (end_n-n)/2, 2):
            if (n in prime_map and n+step in prime_map and 
                n+step*2 in prime_map):
                n1 = list(str(n))
                n2 = list(str(n+step))
                n3 = list(str(n+2*step))
                n1.sort()
                n2.sort()
                n3.sort()
                if n1 == n2 and n2 == n3:
                    return str(n)+str(n+step)+str(n+2*step)
Example #2
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def problem12():
    """ 
    The sequence of triangle numbers is generated by adding the 
    natural numbers. So the 7^(th) triangle number would be 
    1 + 2 + 3 + 4 + 5 + 6 + 7 = 28. The first ten terms would be:

    1, 3, 6, 10, 15, 21, 28, 36, 45, 55, ...

    Let us list the factors of the first seven triangle numbers:    
    We can see that 28 is the first triangle number to have over five divisors.
    What is the value of the first triangle number to have over five hundred divisors?
    """
    def gen_triangle_num():
        i = 1
        num = 0
        while True:
            num += i
            i += 1
            yield num
    
    primelist = mlib.prime_sieve(10**6, output=[])
    generator = gen_triangle_num()
    while True:
        num = generator.next()
        if len(mlib.get_factors(num, primelist)) > 500:
            return num
Example #3
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def problem21():
    """ 
    Let d(n) be defined as the sum of proper divisors of n (numbers less 
    than n which divide evenly into n).
    If d(a) = b and d(b) = a, where a # b, then a and b are an amicable 
    pair and each of a and b are called amicable numbers.

    For example, the proper divisors of 220 are 1, 2, 4, 5, 10, 11, 20, 
    22, 44, 55 and 110; therefore d(220) = 284. The proper divisors of 284 
    are 1, 2, 4, 71 and 142; so d(284) = 220.

    Evaluate the sum of all the amicable numbers under 10000.
    """
    primelist = mlib.prime_sieve(10 ** 4, output=[])
    amicable_map = {}
    am_sum = 0

    for i in range(1, 10 ** 4 + 1):
        factors = mlib.get_factors(i, primelist)
        amicable_map[i] = sum(factors[:-1])

    for i in amicable_map:
        if amicable_map[i] != i and amicable_map[i] in amicable_map and amicable_map[amicable_map[i]] == i:
            am_sum += i

    return am_sum
Example #4
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def problem58():
    prime_map = mlib.prime_sieve(2*10**6)
    side_len = 3
    num_prime = 0.0
    num = 0

    while side_len < 20000:
        c = side_len**2
        corners = [n for n in range(c, c - side_len*3, -side_len+1)]
        num += len(corners)
        for p in corners:
            if p in prime_map:
                num_prime += 1
       
#        print num_prime, num
        if num_prime / num < 0.1:
            return side_len

        side_len += 2
Example #5
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def problem23():
    """ 
    A perfect number is a number for which the sum of its proper divisors 
    is exactly equal to the number. For example, the sum of the proper 
    divisors of 28 would be 1 + 2 + 4 + 7 + 14 = 28, which means that 28 
    is a perfect number.

    A number whose proper divisors are less than the number is called deficient 
    and a number whose proper divisors exceed the number is called abundant.

    As 12 is the smallest abundant number, 1 + 2 + 3 + 4 + 6 = 16, the smallest 
    number that can be written as the sum of two abundant numbers is 24. By 
    mathematical analysis, it can be shown that all integers greater than 28123 
    can be written as the sum of two abundant numbers. However, this upper limit 
    cannot be reduced any further by analysis even though it is known that the 
    greatest number that cannot be expressed as the sum of two abundant numbers
    is less than this limit.

    Find the sum of all the positive integers which cannot be written as 
    the sum of two abundant numbers.
    """
    primelist = mlib.prime_sieve(10 ** 5, output=[])
    abundant = []

    for i in range(1, 28123 + 1):
        factors = mlib.get_factors(i, primelist)
        if sum(factors[:-1]) > i:
            abundant.append(i)

    ab_sum = {}
    ret_sum = 0
    for i in range(0, len(abundant)):
        if abundant[i] > 28123:
            break
        for j in range(0, len(abundant)):
            ab_sum[abundant[i] + abundant[j]] = 1
            if abundant[i] + abundant[j] > 28123:
                break

    for i in range(1, 28123 + 1):
        if i not in ab_sum:
            ret_sum += i
    return ret_sum
Example #6
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def problem329():
    """
    Susan has a prime frog.
    Her frog is jumping around over 500 squares numbered 1 to 500. He can only
    jump one square to the left or to the right, with equal probability, and he
    cannot jump outside the range [1;500].
    (if it lands at either end, it automatically jumps to the only available
    square on the next move.)

    When he is on a square with a prime number on it, he croaks 'P' (PRIME) with
    probability 2/3 or 'N' (NOT PRIME) with probability 1/3 just before jumping
    to the next square. 
    When he is on a square with a number on it that is not a prime he croaks 'P'
    with probability 1/3 or 'N' with probability 2/3 just before jumping to the
    next square.

    Given that the frog's starting position is random with the same probability
    for every square, and given that she listens to his first 15 croaks, what is
    the probability that she hears the sequence PPPPNNPPPNPPNPN? 
    Give your answer as a fraction p/q in reduced form.
    """
    seq = "PPPPNNPPPNPPNPN"
    primes = mathlib.prime_sieve(500)
    
    @memoized
    def f(k, seq):
        curr, rest_seq = seq[0], seq[1:]
        if k in primes:
            p = Fraction(2,3) if curr == 'P' else Fraction(1,3)
        else:
            p = Fraction(2,3) if curr == 'N' else Fraction(1,3)

        if len(rest_seq) == 0:
            return p
        elif k == 1:
            return p * f(2, rest_seq)
        elif k == 500:
            return p * f(499, rest_seq)
        else:
            return p * (f(k-1, rest_seq) + f(k+1, rest_seq)) / 2

    return sum(f(i, seq) for i in range(1,501)) / 500
Example #7
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def problem27():
    """ 
    Euler published the remarkable quadratic formula:
    n^2 + n + 41

    It turns out that the formula will produce 40 primes for the consecutive 
    values n = 0 to 39. However, when n = 40, 40^(2) + 40 + 41 = 40(40 + 1) + 41 is 
    divisible by 41, and certainly when n = 41, 41^2 + 41 + 41 is clearly divisible by 41.

    Using computers, the incredible formula  n^2 - 79n + 1601 was discovered, which 
    produces 80 primes for the consecutive values n = 0 to 79. The product of the 
    coefficients, -79 and 1601, is -126479.

    Considering quadratics of the form:
    n^2 + an + b, where |a| < 1000 and |b| < 1000     

    Find the product of the coefficients, a and b, for the quadratic expression 
    that produces the maximum number of primes for consecutive values of n, starting with n = 0.
    """
    prime_map = mlib.prime_sieve(1000 ** 2, output={})
    max_chain = (0, 0, 0)

    # n**2 + a*n + b
    for a in range(-1000, 1000):
        for b in range(-1000, 1000):
            n = 0
            chain = 0
            while True:
                p = (n + a) * n + b
                if p in prime_map:
                    chain += 1
                    n += 1
                else:
                    break

            if chain > max_chain[0]:
                max_chain = (chain, a, b)
                # print max_chain

    return max_chain[1] * max_chain[2]
Example #8
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def problem58():
    """ Starting with 1 and spiralling anticlockwise in the following way, a 
    square spiral with side length 7 is formed. If one complete new layer is 
    wrapped around the spiral above, a square spiral with side length 9 will 
    be formed. If this process is continued, what is the side length of the 
    square spiral for which the ratio of primes along both diagonals first 
    falls below 10%? """ 
    prime_map = mlib.prime_sieve(2*10**6)
    side_len = 3
    num_prime = 0.0
    num = 0

    while side_len < 20000:
        c = side_len**2
        corners = [n for n in range(c, c - side_len*3, -side_len+1)]
        num += len(corners)
        for p in corners:
            if p in prime_map:
                num_prime += 1
       
        if num_prime / num < 0.1:
            return side_len

        side_len += 2
Example #9
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def problem10():
    """ 
    The sum of the primes below 10 is 2 + 3 + 5 + 7 = 17.
    Find the sum of all the primes below two million.    
    """
    return sum(mlib.prime_sieve(2*10**6))