Project Euler #60 Prime pair sets












0












$begingroup$


The problem is as below:




The primes 3, 7, 109, and 673, are quite remarkable. By taking any two primes and concatenating them in any order the result will always be prime. For example, taking 7 and 109, both 7109 and 1097 are prime. The sum of these four primes, 792, represents the lowest sum for a set of four primes with this property.



Find the lowest sum for a set of five primes for which any two primes concatenate to produce another prime.




%%time
import itertools
import time

t1 = time.time()

def prime():

yield 3
yield 7

for i in itertools.count(11, 2):
e = int(i ** .5) + 1
for j in range(2, e + 1):
if i % j == 0:
break
else:
yield i


def is_prime(n):
if n < 2:
return False
if n == 2:
return True
e = int(n ** .5) + 1
for i in range(2, e + 1):
if n % i == 0:
return False
else:
return True


def power_up(n):
# helper function return the next 10 power
i = 1
while 1:
if n < i:
return i
i*=10


def conc(x,y):
# helper function check if xy and yz is prime
if not is_prime((x*power_up(y))+y):
return False
else:
return is_prime(y*power_up(x)+x)

def conc3(x,y,z): # not use, it did not improve the performance
a = conc(x,y)
if not a:
return False
b = conc(x,z)
if not b:
return False
c = conc(y,z)
if not c:
return False
return True




one =
two =
three =
four =
found = 0

for i in prime():
if found:
break
try:
if i > sum_:
break
except:
pass
one += [i]
for j in one[:-1]: # on the fly list
if conc(i,j):
two += [[i, j]]
for _, k in two: # check against k only if it is in a two pair
if _ == j:
for x in [i, j]:
if not conc(x,k):
break
else:
three += [[i, j, k]]
for _, __, l in three:
if _ == j and __ == k:

for x in [i, j, k]:
if not conc(x,l):
break
else:
four += [[i, j, k, l]]
# print(i, j, k, l)
for _, __, ___, m in four:
if _ == j and __ == k and ___ == l:
for x in [i, j, k, l]:
if not conc(x,m):
break
else:
a = [i, j, k, l, m]
t2 = time.time()
try:
if (
sum(a) < sum_
): # assign sum_ with the first value found
sum_ = sum(a)
except:
sum_ = sum(a)
print(
f"the sum now is {sum(a)}, the sum of [{i}, {j}, {k}, {l}, {m}], found in {t2-t1:.2f}sec"
)
if i > sum_:
# if the first element checked is greater than the found sum, then we are sure we found it,
# this is the only way we can be sure we found it.
# it took 1 and a half min to find the first one, and confirm that after 42min.
# my way is not fast, but what I practised here is to find the number without a guessed boundary

found = 1
print(
f"the final result is {sum_}"
)


I found the first candidate in 75 sec which I think is to long. I want to see if anyone can give me some suggestion on how to improve the performance.










share|improve this question









$endgroup$

















    0












    $begingroup$


    The problem is as below:




    The primes 3, 7, 109, and 673, are quite remarkable. By taking any two primes and concatenating them in any order the result will always be prime. For example, taking 7 and 109, both 7109 and 1097 are prime. The sum of these four primes, 792, represents the lowest sum for a set of four primes with this property.



    Find the lowest sum for a set of five primes for which any two primes concatenate to produce another prime.




    %%time
    import itertools
    import time

    t1 = time.time()

    def prime():

    yield 3
    yield 7

    for i in itertools.count(11, 2):
    e = int(i ** .5) + 1
    for j in range(2, e + 1):
    if i % j == 0:
    break
    else:
    yield i


    def is_prime(n):
    if n < 2:
    return False
    if n == 2:
    return True
    e = int(n ** .5) + 1
    for i in range(2, e + 1):
    if n % i == 0:
    return False
    else:
    return True


    def power_up(n):
    # helper function return the next 10 power
    i = 1
    while 1:
    if n < i:
    return i
    i*=10


    def conc(x,y):
    # helper function check if xy and yz is prime
    if not is_prime((x*power_up(y))+y):
    return False
    else:
    return is_prime(y*power_up(x)+x)

    def conc3(x,y,z): # not use, it did not improve the performance
    a = conc(x,y)
    if not a:
    return False
    b = conc(x,z)
    if not b:
    return False
    c = conc(y,z)
    if not c:
    return False
    return True




    one =
    two =
    three =
    four =
    found = 0

    for i in prime():
    if found:
    break
    try:
    if i > sum_:
    break
    except:
    pass
    one += [i]
    for j in one[:-1]: # on the fly list
    if conc(i,j):
    two += [[i, j]]
    for _, k in two: # check against k only if it is in a two pair
    if _ == j:
    for x in [i, j]:
    if not conc(x,k):
    break
    else:
    three += [[i, j, k]]
    for _, __, l in three:
    if _ == j and __ == k:

    for x in [i, j, k]:
    if not conc(x,l):
    break
    else:
    four += [[i, j, k, l]]
    # print(i, j, k, l)
    for _, __, ___, m in four:
    if _ == j and __ == k and ___ == l:
    for x in [i, j, k, l]:
    if not conc(x,m):
    break
    else:
    a = [i, j, k, l, m]
    t2 = time.time()
    try:
    if (
    sum(a) < sum_
    ): # assign sum_ with the first value found
    sum_ = sum(a)
    except:
    sum_ = sum(a)
    print(
    f"the sum now is {sum(a)}, the sum of [{i}, {j}, {k}, {l}, {m}], found in {t2-t1:.2f}sec"
    )
    if i > sum_:
    # if the first element checked is greater than the found sum, then we are sure we found it,
    # this is the only way we can be sure we found it.
    # it took 1 and a half min to find the first one, and confirm that after 42min.
    # my way is not fast, but what I practised here is to find the number without a guessed boundary

    found = 1
    print(
    f"the final result is {sum_}"
    )


    I found the first candidate in 75 sec which I think is to long. I want to see if anyone can give me some suggestion on how to improve the performance.










    share|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      The problem is as below:




      The primes 3, 7, 109, and 673, are quite remarkable. By taking any two primes and concatenating them in any order the result will always be prime. For example, taking 7 and 109, both 7109 and 1097 are prime. The sum of these four primes, 792, represents the lowest sum for a set of four primes with this property.



      Find the lowest sum for a set of five primes for which any two primes concatenate to produce another prime.




      %%time
      import itertools
      import time

      t1 = time.time()

      def prime():

      yield 3
      yield 7

      for i in itertools.count(11, 2):
      e = int(i ** .5) + 1
      for j in range(2, e + 1):
      if i % j == 0:
      break
      else:
      yield i


      def is_prime(n):
      if n < 2:
      return False
      if n == 2:
      return True
      e = int(n ** .5) + 1
      for i in range(2, e + 1):
      if n % i == 0:
      return False
      else:
      return True


      def power_up(n):
      # helper function return the next 10 power
      i = 1
      while 1:
      if n < i:
      return i
      i*=10


      def conc(x,y):
      # helper function check if xy and yz is prime
      if not is_prime((x*power_up(y))+y):
      return False
      else:
      return is_prime(y*power_up(x)+x)

      def conc3(x,y,z): # not use, it did not improve the performance
      a = conc(x,y)
      if not a:
      return False
      b = conc(x,z)
      if not b:
      return False
      c = conc(y,z)
      if not c:
      return False
      return True




      one =
      two =
      three =
      four =
      found = 0

      for i in prime():
      if found:
      break
      try:
      if i > sum_:
      break
      except:
      pass
      one += [i]
      for j in one[:-1]: # on the fly list
      if conc(i,j):
      two += [[i, j]]
      for _, k in two: # check against k only if it is in a two pair
      if _ == j:
      for x in [i, j]:
      if not conc(x,k):
      break
      else:
      three += [[i, j, k]]
      for _, __, l in three:
      if _ == j and __ == k:

      for x in [i, j, k]:
      if not conc(x,l):
      break
      else:
      four += [[i, j, k, l]]
      # print(i, j, k, l)
      for _, __, ___, m in four:
      if _ == j and __ == k and ___ == l:
      for x in [i, j, k, l]:
      if not conc(x,m):
      break
      else:
      a = [i, j, k, l, m]
      t2 = time.time()
      try:
      if (
      sum(a) < sum_
      ): # assign sum_ with the first value found
      sum_ = sum(a)
      except:
      sum_ = sum(a)
      print(
      f"the sum now is {sum(a)}, the sum of [{i}, {j}, {k}, {l}, {m}], found in {t2-t1:.2f}sec"
      )
      if i > sum_:
      # if the first element checked is greater than the found sum, then we are sure we found it,
      # this is the only way we can be sure we found it.
      # it took 1 and a half min to find the first one, and confirm that after 42min.
      # my way is not fast, but what I practised here is to find the number without a guessed boundary

      found = 1
      print(
      f"the final result is {sum_}"
      )


      I found the first candidate in 75 sec which I think is to long. I want to see if anyone can give me some suggestion on how to improve the performance.










      share|improve this question









      $endgroup$




      The problem is as below:




      The primes 3, 7, 109, and 673, are quite remarkable. By taking any two primes and concatenating them in any order the result will always be prime. For example, taking 7 and 109, both 7109 and 1097 are prime. The sum of these four primes, 792, represents the lowest sum for a set of four primes with this property.



      Find the lowest sum for a set of five primes for which any two primes concatenate to produce another prime.




      %%time
      import itertools
      import time

      t1 = time.time()

      def prime():

      yield 3
      yield 7

      for i in itertools.count(11, 2):
      e = int(i ** .5) + 1
      for j in range(2, e + 1):
      if i % j == 0:
      break
      else:
      yield i


      def is_prime(n):
      if n < 2:
      return False
      if n == 2:
      return True
      e = int(n ** .5) + 1
      for i in range(2, e + 1):
      if n % i == 0:
      return False
      else:
      return True


      def power_up(n):
      # helper function return the next 10 power
      i = 1
      while 1:
      if n < i:
      return i
      i*=10


      def conc(x,y):
      # helper function check if xy and yz is prime
      if not is_prime((x*power_up(y))+y):
      return False
      else:
      return is_prime(y*power_up(x)+x)

      def conc3(x,y,z): # not use, it did not improve the performance
      a = conc(x,y)
      if not a:
      return False
      b = conc(x,z)
      if not b:
      return False
      c = conc(y,z)
      if not c:
      return False
      return True




      one =
      two =
      three =
      four =
      found = 0

      for i in prime():
      if found:
      break
      try:
      if i > sum_:
      break
      except:
      pass
      one += [i]
      for j in one[:-1]: # on the fly list
      if conc(i,j):
      two += [[i, j]]
      for _, k in two: # check against k only if it is in a two pair
      if _ == j:
      for x in [i, j]:
      if not conc(x,k):
      break
      else:
      three += [[i, j, k]]
      for _, __, l in three:
      if _ == j and __ == k:

      for x in [i, j, k]:
      if not conc(x,l):
      break
      else:
      four += [[i, j, k, l]]
      # print(i, j, k, l)
      for _, __, ___, m in four:
      if _ == j and __ == k and ___ == l:
      for x in [i, j, k, l]:
      if not conc(x,m):
      break
      else:
      a = [i, j, k, l, m]
      t2 = time.time()
      try:
      if (
      sum(a) < sum_
      ): # assign sum_ with the first value found
      sum_ = sum(a)
      except:
      sum_ = sum(a)
      print(
      f"the sum now is {sum(a)}, the sum of [{i}, {j}, {k}, {l}, {m}], found in {t2-t1:.2f}sec"
      )
      if i > sum_:
      # if the first element checked is greater than the found sum, then we are sure we found it,
      # this is the only way we can be sure we found it.
      # it took 1 and a half min to find the first one, and confirm that after 42min.
      # my way is not fast, but what I practised here is to find the number without a guessed boundary

      found = 1
      print(
      f"the final result is {sum_}"
      )


      I found the first candidate in 75 sec which I think is to long. I want to see if anyone can give me some suggestion on how to improve the performance.







      python






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      share|improve this question










      asked 11 mins ago









      Matt CaoMatt Cao

      11




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