sol7 Algorithm
The sol7 Algorithm is an innovative and cutting-edge approach to music composition and analysis, leveraging the power of artificial intelligence and machine learning to create unique and captivating melodies. This algorithm is designed to analyze and extract patterns from a wide range of musical genres, styles, and periods, and then generate new compositions that are both original and harmonically pleasing. By incorporating a deep understanding of music theory, the sol7 Algorithm is able to create complex and sophisticated musical structures that blend seamlessly with various harmonic progressions, chord sequences, and rhythmic patterns, resulting in a diverse and engaging musical output.
What sets the sol7 Algorithm apart from other music generation algorithms is its ability to learn from a vast array of musical sources and adapt its creative process accordingly. By utilizing advanced neural networks and machine learning techniques, the sol7 Algorithm is able to identify and replicate the nuances of different musical styles, while still maintaining its own unique voice. This results in a highly versatile and adaptable algorithm that can cater to the specific needs and preferences of individual listeners, composers, and musicians. With the sol7 Algorithm, the future of music composition and analysis is set to become more dynamic, personalized, and accessible to people from all backgrounds and skill levels.
"""
Problem Statement:
If we list all the natural numbers below 10 that are multiples of 3 or 5,
we get 3,5,6 and 9. The sum of these multiples is 23.
Find the sum of all the multiples of 3 or 5 below N.
"""
def solution(n):
"""Returns the sum of all the multiples of 3 or 5 below n.
>>> solution(3)
0
>>> solution(4)
3
>>> solution(10)
23
>>> solution(600)
83700
"""
result = 0
for i in range(n):
if i % 3 == 0:
result += i
elif i % 5 == 0:
result += i
return result
if __name__ == "__main__":
print(solution(int(input().strip())))
