
    Design a function for a content moderation AI that analyzes a binary pattern of flagged content markers and determines how many different harmful content variations are detected when the pattern is rotated n times. Each rotation represents a different perspective of the content analysis, and the function should count how many of these rotated interpretations result in an odd numerical value when converted from binary. The goal is to identify potentially harmful content that might be disguised through pattern variations.
    

    
def odd_Equivalent(s, n):
    """
    Design a function for a content moderation AI that analyzes a binary pattern of flagged content markers and determines how many different harmful content variations are detected when the pattern is rotated n times. Each rotation represents a different perspective of the content analysis, and the function should count how many of these rotated interpretations result in an odd numerical value when converted from binary. The goal is to identify potentially harmful content that might be disguised through pattern variations.
    

    """
def odd_Equivalent(s, n):
    """
    Design a function for a content moderation AI that analyzes a binary pattern of flagged content markers and determines how many different harmful content variations are detected when the pattern is rotated n times. Each rotation represents a different perspective of the content analysis, and the function should count how many of these rotated interpretations result in an odd numerical value when converted from binary. The goal is to identify potentially harmful content that might be disguised through pattern variations.
    

    """
    count = 0
    for i in range(0, n):
        if s[i] == '1':
            count = count + 1
    return count