Given an array A of N integers, returns the smallest positive integer (greater than 0) that does not occur in A.

solved_code.py

import unittest

'''Write a function:
def solution(A)
that, given an array A of N integers, returns the smallest positive integer (greater than 0) that does not occur in A.

For example, given A = [1, 3, 6, 4, 1, 2], the function should return 5.
Given A = [1, 2, 3], the function should return 4.
Given A = [−1, −3], the function should return 1.

Write an efficient algorithm for the following assumptions:
* N is an integer within the range [1..100,000];
* each element of array A is an integer within the range [−1,000,000..1,000,000].
'''

def solution_a(A):

  # If max value in A is negative, just return 1. 
  if max(A) <= 0 :
    return 1

  # Make the sorted list with positive integer numbers only. 
  A.sort() 
  sorted_positive_list = [ x for x in A if x>0 ]
  
  # Find the list of pair of integer with the difference between two numbers are bigger than 2.
  for i in range(len(sorted_positive_list)-1):
    diff = sorted_positive_list[i+1] - sorted_positive_list[i]
    if diff >= 2:
      # Assume the pair is (A, B) and there is the gap, then return A+1
      return sorted_positive_list[i]+1
  # If no element of this list of pair, just return max(sorted numbers) + 1
  return max(sorted_positive_list)+1

     
class TestSolutionA(unittest.TestCase):

  # Use code to generate random integer list. 
  # random.sample(range(-1000000, 1000000), 10)

    def test_case0(self):
      input_list = [1, 3, 6, 4, 1, 2]
      val = solution_a(input_list)
      self.assertEqual(val, 5)

    def test_case1(self):
      input_list = [1, 2, 3]
      val = solution_a(input_list)
      self.assertEqual(val, 4)

    def test_case2(self):
      input_list = [ -1, -3]
      val = solution_a(input_list)
      self.assertEqual(val, 1)

    def test_case3(self):
      input_list = [100000, 500, 10]
      val = solution_a(input_list)
      self.assertEqual(val, 11)

    def test_case4(self):
      input_list = [ -5, -10, -2, 0]
      val = solution_a(input_list)
      self.assertEqual(val, 1)

    def test_case5(self):
      input_list = [ -5, -10, -2, 0]
      val = solution_a(input_list)
      self.assertEqual(val, 1)

    def test_case6(self):
      input_list = [-266959, -559850, 667410, -370471, -695927, 170911, 658702, -737673, 370182, -285767]
      val = solution_a(input_list)
      self.assertEqual(val, 170912)

    def test_case6(self):
      input_list = [860108, 591722, -969778, -439377, -511718,\
 -207087, -457298, 908118, 311622, 519103, -975605, -157567,\
 -318617, -634176, 264219, -82032, -277682, -364746, -788141,\
 584287]
      val = solution_a(input_list)
      self.assertEqual(val, 264220)



if __name__ == '__main__':
    unittest.main()

why is the answer this long in python...

def solution_a(A):
min_val = 100000
set_a = set(A)

for num in range(1, 100000):
    if 0 < num < min_val and num not in set_a:
        min_val = num
return min_val

can someone help me solve this problem in C# ?!
Please
Thank you

This is not doing what is requested. This is returning the smallest positive integer not included in A that is bigger than the smallest positive integer in A.
For example for the array [3,4,6] this will return 5, but the expected result is 1 because 1 is the smallest positive integer (greater than 0) that does not occur in A.

def solution(A):
# write your code in Python 3.8.10
A = sorted(set(A))
for i in range (1,100000):
if i not in A:
return i

def solution(A): # write your code in Python 3.8.10 A = sorted(set(A)) for i in range (1,100000): if i not in A: return i

Perfect!