I can't figure out what is wrong with this prime checker - python

I am trying to solve Project Euler problem 3, I am new to coding so I'm sure this could be more optimized. Essentially, I'm trying to loop through every number between 1 and the sqrt of the number to figure out if it's prime, my debug is consistently saying that it only checks if it's divisible by 1, What am I doing wrong?
# Project Euler Problem #3
# Largest prime factor
# What is the largest prime factor of the number 600851475143?
import math
primelist = []
n = 1
while n < 775147:
n += 1
m = int(math.sqrt(n))
if 600851475143 % n == 0:
if n % 2 != 0:
for i in range(1,m):
print (i)
if n % i == 0:
break
else:
primelist.append(n)

for i in range(1, m): needs to be for i in range(2, m + 1):, as you don't want to test for 1 and m + 1 should be included.
For example, when n == 9, m will be 3, which is what you're after - range(2, m) would exclude m.

Related

I get type error if I execute the below code, and the error is TypeError: 'float' object cannot be interpreted as an integer

Here is my challenge:
Write a program to find out the prime factors of a number. Example: prime factors of 56 - 2, 2, 2, 7
Here is my code:
num = 64
def factors (n):
while n % 2 == 0:
print(2)
n = n/2
for i in range (3,n):
if n % i == 0:
print(i)
n = n/i
if n > 2:
print(n)
factors (num)
Instead of using \ you should use \\ . \ is floating point division or simply division and \\ is integer division or termed as floor division.
Reference
3 / 2 = 1.5
3 // 2 = 1
hence your code would look like,
num = 64
def factors (n):
while n % 2 == 0:
print(2)
n = n//2
for i in range (3,n):
if n % i == 0:
print(i)
n = n/i
if n > 2:
print(n)
factors (num)
You've got this error because range object gets integers as parameters and using n = n/2 will convert n to a float so as Thierry Lathuille says, replace n = n/2 by n = n//2
The integer division is important, as mention by others, but the most important is that your algorithm cannot detect multiple factors > 2 correctly.
def factors (n):
for i in range (2, n):
while (n % i == 0):
print(i)
n //= i
Try the following (i.e., replace "/" with "//" to get an integer instead of a float)
num = 64
def factors(n):
while n % 2 == 0:
print(2)
n = n // 2 # -------> Do the integer Division.
for i in range(3, n):
if n % i == 0:
print(i)
n = n / i
if n > 2:
print(n)
factors(num)

Optimize performance - writing out Prime Numbers

The issue is Prime Numbers -that the solution is not implemented effectively.
I hear about eratosthenes sieve.
What are the other methods of implementing prime numbers - in a more efficient way?
n = int(input())
suma = 0
m = 0
while m < n:
if n > 100000:
break
x = int(input())
if 1 < x < 10000:
for i in range(x):
if x % (i + 1) == 0:
suma += 1
if suma == 2 and x != 2:
m += 1
print('o')
suma = 0
else:
m += 1
print('x')
suma = 0
The one of solution: https://medium.com/#dhruvpatel1057/generate-prime-numbers-in-python-using-segmented-sieve-of-eratosthenes-245b79da6687
You are using a very naive approach for primality checking.
As a general naive but not so much method, I'd recommend using Wilson's theorem as prime checker. Using math.factorial instead of a python loop should provide you with some reasonable speed increase while keeping the code fairly simple.
I hear about eratosthenes sieve - but not idea, how to implement it.
That's not the sieve of eratosthenes proper but what people usually talk about when they mention it is that when you find a prime you go through all your candidates and remove its factors ("sieving" them out hence the name) and the new first candidate is the next prime in the sequence.
There are more efficient primality tests than sieving everything though, check the "primality test" wikipedia page for examples.
This code will generate the amount of prime numbers the user asked for. It is very efficient, and can work out the first thousand prime numbers in milliseconds.
amount = int(input("Enter the amount of prime numbers you would like to see: "))
primes = []
num = 1
while len(primes) < amount:
num += 1
# If num is bigger than 1, and is 2 or is odd, and when divided by all the number from 3 to num's square root plus 1 (excluding even numbers), there is always a remainder.
if num > 1 and (num == 2 or num % 2 != 0) and all(num % divisor != 0 for divisor in range(3, int(num ** 0.5) + 1, 2)):
primes.append(num)
print(f"The first {amount} prime numbers are:\n{primes}")
this is sample code , make a list of prime, and from this list check the number to process is getting divided or not , if it is not getting divided then it is prime else it is not
# your code goes here
x = int(input())
prime =[]
for i in range(2,x):
if i not in prime:
if prime == []:
prime.append(i)
else:
check = 1
for j in prime:
if i%j==0:
check = 0
break
if check:
prime.append(i)
print(prime)

Prime number algorithm stops working after certain point

Here is my prime number finding algorithm -- it works great (and very fast) up until the limit is set above 173, then it starts throwing
ValueError: list.remove(x): x not in list
I don't understand why this is when it works absolutely fine up until the limit is 174 or above -- here is my code.
def primefinder(limit):
primes = [2, 3]
for i in range(1, (limit / 6 + 1)):
primes.append(6 * i - 1)
primes.append(6 * i + 1)
for i in primes[:]:
if i > 24:
for x in primes:
if x <= i ** 0.5:
if i % x == 0:
primes.remove(i)
continue
else:
break
if limit % 6 == 0:
primes.remove(primes[-1])
return primes
Here ya go - You don't want to have the print in there, thats just to show what's going on.
def primefinder(limit):
primes = [2, 3]
for i in range(4, limit):
if (prime(i)):
primes.append(i)
print (i)
return primes
def prime(number):
oldnum = number
factor = 1
while number > 1:
factor += 1
if number % factor == 0:
if 1 < factor < oldnum:
return False
number //= factor
return True
primefinder(200000)

I want to find out all the palindrome prime numbers between 2 numbers. My code can find the palindrome numbers but also prints the non primes

Non-prime numbers are being printed because it checks only from '2-10' for prime numbers. How can I change the code to check for all numbers upto x?
N = eval(input("Enter the starting point N: \n"))
M = eval(input("Enter the ending point M: \n"))
n = str(N)
i = 0
for j in range(N, M):
if (n[i] == n[len(n)-1]):
x = N
N = N + 1
if not((x % 2 == 0) or (x % 3 == 0) or (x % 4 == 0) or (x % 5 == 0) or (x % 6 == 0) or (x % 7 == 0) or (x % 8 == 0) or (x % 9 == 0) or (x % 10 == 0)):
print(x)
n = str(N)
else:
N = N + 1
n = str(N)
Here's an implementation of the Sieve of Eratosthenes that I wrote. It pretty efficiently finds all the prime numbers less than the number you pass it. I would explain it to you, but Wikipedia (linked above) does a much better job than I could. Use it to generate the prime numbers and then iterate through the list it returns to check if those numbers are palindromes.
def primeslt(n):
"""Finds all primes less than n"""
if n < 3:
return []
A = [True] * n
A[0], A[1] = False, False
for i in range(2, int(n**0.5)+1):
if A[i]:
j = i**2
while j < n:
A[j] = False
j += i
return [num for num in range(n) if A[num]]
Heres a palindrome snippet
low_range = input()
high_range = input()
string_convertor = str
for num in range(int(low_range), int(high_range)):
num_to_string = string_convertor(num)
reverse = num_to_string[::-1]
if num_to_string == reverse:
print("Palindrome")
print(num_to_string)

How to generate the 1000th prime in python?

count = 0
i = 11
while count <= 1000 and i <= 10000:
if i%2 != 0:
if (i%3 == 0 or i%4 == 0 or i%5 == 0 or i%6 == 0 or i%7 == 0 or i%9 == 0):
continue
else:
print i,'is prime.'
count += 1
i+=1
I'm trying to generate the 1000th prime number only through the use of loops. I generate the primes correctly but the last prime i get is not the 1000th prime. How can i modify my code to do so. Thank in advance for the help.
EDIT: I understand how to do this problem now. But can someone please explain why the following code does not work ? This is the code I wrote before I posted the second one on here.
count = 1
i = 3
while count != 1000:
if i%2 != 0:
for k in range(2,i):
if i%k == 0:
print(i)
count += 1
break
i += 1
Let's see.
count = 1
i = 3
while count != 1000:
if i%2 != 0:
for k in range(2,i):
if i%k == 0: # 'i' is _not_ a prime!
print(i) # ??
count += 1 # ??
break
i += 1 # should be one space to the left,
# for proper indentation
If i%k==0, then i is not a prime. If we detect that it's not a prime, we should (a) not print it out, (b) not increment the counter of found primes and (c) we indeed should break out from the for loop - no need to test any more numbers.
Also, instead of testing i%2, we can just increment by 2, starting from 3 - they will all be odd then, by construction.
So, we now have
count = 1
i = 3
while count != 1000:
for k in range(2,i):
if i%k == 0:
break
else:
print(i)
count += 1
i += 2
The else after for gets executed if the for loop was not broken out of prematurely.
It works, but it works too hard, so is much slower than necessary. It tests a number by all the numbers below it, but it's enough to test it just up to its square root. Why? Because if a number n == p*q, with p and q between 1 and n, then at least one of p or q will be not greater than the square root of n: if they both were greater, their product would be greater than n.
So the improved code is:
from math import sqrt
count = 1
i = 1
while count < 1000:
i += 2
for k in range(2, 1+int(sqrt(i+1))):
if i%k == 0:
break
else:
# print(i) ,
count += 1
# if count%20==0: print ""
print i
Just try running it with range(2,i) (as in the previous code), and see how slow it gets. For 1000 primes it takes 1.16 secs, and for 2000 – 4.89 secs (3000 – 12.15 ses). But with the sqrt it takes just 0.21 secs to produce 3000 primes, 0.84 secs for 10,000 and 2.44 secs for 20,000 (orders of growth of ~ n2.1...2.2 vs. ~ n1.5).
The algorithm used above is known as trial division. There's one more improvement needed to make it an optimal trial division, i.e. testing by primes only. An example can be seen here, which runs about 3x faster, and at better empirical complexity of ~ n1.3.
Then there's the sieve of Eratosthenes, which is quite faster (for 20,000 primes, 12x faster than "improved code" above, and much faster yet after that: its empirical order of growth is ~ n1.1, for producing n primes, measured up to n = 1,000,000 primes):
from math import log
count = 1 ; i = 1 ; D = {}
n = 100000 # 20k:0.20s
m = int(n*(log(n)+log(log(n)))) # 100k:1.15s 200k:2.36s-7.8M
while count < n: # 400k:5.26s-8.7M
i += 2 # 800k:11.21-7.8M
if i not in D: # 1mln:13.20-7.8M (n^1.1)
count += 1
k = i*i
if k > m: break # break, when all is already marked
while k <= m:
D[k] = 0
k += 2*i
while count < n:
i += 2
if i not in D: count += 1
if i >= m: print "invalid: top value estimate too small",i,m ; error
print i,m
The truly unbounded, incremental, "sliding" sieve of Eratosthenes is about 1.5x faster yet, in this range as tested here.
A couple of problems are obvious. First, since you're starting at 11, you've already skipped over the first 5 primes, so count should start at 5.
More importantly, your prime detection algorithm just isn't going to work. You have to keep track of all the primes smaller than i for this kind of simplistic "sieve of Eratosthanes"-like prime detection. For example, your algorithm will think 11 * 13 = 143 is prime, but obviously it isn't.
PGsimple1 here is a correct implementatioin of what the prime detection you're trying to do here, but the other algorithms there are much faster.
Are you sure you are checking for primes correctly? A typical solution is to have a separate "isPrime" function you know that works.
def isPrime(num):
i = 0
for factor in xrange(2, num):
if num%factor == 0:
return False
return True
(There are ways to make the above function more effective, such as only checking odds, and only numbers below the square root, etc.)
Then, to find the n'th prime, count all the primes until you have found it:
def nthPrime(n):
found = 0
guess = 1
while found < n:
guess = guess + 1
if isPrime(guess):
found = found + 1
return guess
your logic is not so correct.
while :
if i%2 != 0:
if (i%3 == 0 or i%4 == 0 or i%5 == 0 or i%6 == 0 or i%7 == 0 or i%9 == 0):
this cannot judge if a number is prime or not .
i think you should check if all numbers below sqrt(i) divide i .
Here's a is_prime function I ran across somewhere, probably on SO.
def is_prime(n):
return all((n%j > 0) for j in xrange(2, n))
primes = []
n = 1
while len(primes) <= 1000:
if is_prime(n):
primes.append(n)
n += 1
Or if you want it all in the loop, just use the return of the is_prime function.
primes = []
n = 1
while len(primes) <= 1000:
if all((n%j > 0) for j in xrange(2, n)):
primes.append(n)
n += 1
This is probably faster: try to devide the num from 2 to sqrt(num)+1 instead of range(2,num).
from math import sqrt
i = 2
count = 1
while True:
i += 1
prime = True
div = 2
limit = sqrt(i) + 1
while div < limit:
if not (i % div):
prime = False
break
else:
div += 1
if prime:
count += 1
if count == 1000:
print "The 1000th prime number is %s" %i
break
Try this:
def isprime(num):
count = num//2 + 1
while count > 1:
if num %count == 0:
return False
count -= 1
else:
return True
num = 0
count = 0
while count < 1000:
num += 1
if isprime(num):
count += 1
if count == 1000:
prime = num
Problems with your code:
No need to check if i <= 10000.
You are doing this
if i%2 != 0:
if (i%3 == 0 or i%4 == 0 or i%5 == 0 or i%6 == 0 or i%7 == 0 or i%9 == 0):
Here, you are not checking if the number is divisible by a prime number greater than 7.
Thus your result: most probably divisible by 11
Because of 2. your algorithm says 17 * 13 * 11 is a prime(which it is not)
How about this:
#!/usr/bin/python
from math import sqrt
def is_prime(n):
if n == 2:
return True
if (n < 2) or (n % 2 == 0):
return False
return all(n % i for i in xrange(3, int(sqrt(n)) + 1, 2))
def which_prime(N):
n = 2
p = 1
while True:
x = is_prime(n)
if x:
if p == N:
return n
else:
p += 1
n += 1
print which_prime(1000)
n=2 ## the first prime no.
prime=1 ## we already know 2 is the first prime no.
while prime!=1000: ## to get 1000th prime no.
n+=1 ## increase number by 1
pon=1 ## sets prime_or_not(pon) counter to 1
for i in range(2,n): ## i varies from 2 to n-1
if (n%i)==0: ## if n is divisible by i, n is not prime
pon+=1 ## increases prime_or_not counter if n is not prime
if pon==1: ## checks if n is prime or not at the end of for loop
prime+=1 ## if n is prime, increase prime counter by 1
print n ## prints the thousandth prime no.
Here is yet another submission:
ans = 0;
primeCounter = 0;
while primeCounter < 1000:
ans += 1;
if ans % 2 != 0:
# we have an odd number
# start testing for prime
divisor = 2;
isPrime = True;
while divisor < ans:
if ans % divisor == 0:
isPrime = False;
break;
divisor += 1;
if isPrime:
print str(ans) + ' is the ' + str(primeCounter) + ' prime';
primeCounter += 1;
print 'the 1000th prime is ' + str(ans);
Here's a method using only if & while loops. This will print out only the 1000th prime number. It skips 2. I did this as problem set 1 for MIT's OCW 6.00 course & therefore only includes commands taught up to the second lecture.
prime_counter = 0
number = 3
while(prime_counter < 999):
divisor = 2
divcounter = 0
while(divisor < number):
if(number%divisor == 0):
divcounter = 1
divisor += 1
if(divcounter == 0):
prime_counter+=1
if(prime_counter == 999):
print '1000th prime number: ', number
number+=2
I just wrote this one. It will ask you how many prime number user wants to see, in this case it will be 1000. Feel free to use it :).
# p is the sequence number of prime series
# n is the sequence of natural numbers to be tested if prime or not
# i is the sequence of natural numbers which will be used to devide n for testing
# L is the sequence limit of prime series user wants to see
p=2;n=3
L=int(input('Enter the how many prime numbers you want to see: '))
print ('# 1 prime is 2')
while(p<=L):
i=2
while i<n:
if n%i==0:break
i+=1
else:print('#',p,' prime is',n); p+=1
n+=1 #Line X
#when it breaks it doesn't execute the else and goes to the line 'X'
This will be the optimized code with less number of executions, it can calculate and display 10000 prime numbers within a second.
it will display all the prime numbers, if want only nth prime number, just set while condition and print the prime number after you come out of the loop. if you want to check a number is prime or not just assign number to n, and remove while loop..
it uses the prime number property that
* if a number is not divisible by the numbers which are less than its square root then it is prime number.
* instead of checking till the end(Means 1000 iteration to figure out 1000 is prime or not) we can end the loop within 35 iterations,
* break the loop if it is divided by any number at the beginning(if it is even loop will break on first iteration, if it is divisible by 3 then 2 iteration) so we iterate till the end only for the prime numbers
remember one thing you can still optimize the iterations by using the property *if a number is not divisible with the prime numbers less than that then it is prime number but the code will be too large, we have to keep track of the calculated prime numbers, also it is difficult to find a particular number is a prime or not, so this will be the Best logic or code
import math
number=1
count = 0
while(count<10000):
isprime=1
number+=1
for j in range(2,int(math.sqrt(number))+1):
if(number%j==0):
isprime=0
break
if(isprime==1):
print(number,end=" ")
count+=1

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