import math

def closestColor(pixels):
    pure_colors = {
        "Black": (0, 0, 0),
        "White": (255, 255, 255),
        "Red": (255, 0, 0),
        "Green": (0, 255, 0),
        "Blue": (0, 0, 255)
    }

    def distance(c1, c2):
        return sum((a - b) ** 2 for a, b in zip(c1, c2))

    results = []
    
    for pixel in pixels:
        rgb = (int(pixel[i:i+8], 2) for i in (0, 8, 16))
        closest = min(pure_colors.items(), key=lambda x: distance(rgb, x[1]))

        min_dist = distance(rgb, closest[1])
        ties = [name for name, color in pure_colors.items() if distance(rgb, color) == min_dist]

        results.append("Ambiguous" if len(ties) > 1 else ties[0])

    return results

Strictly follows plagiarism🌚

All on-campus and off-campus exam help is available.

def findMostPopularTopic(postDetails):
    topics = set()
    topic_scores = {}

    for line in postDetails:
        parts = [part.strip() for part in line.split(',')]
        if len(parts) != 5:
            print("Invalid input")
            return
        
        try:
            likes = int(parts[2])
            comments = int(parts[3])
            shares = int(parts[4])
        except ValueError:
            print("Invalid input")
            return
        
        if likes < 0 or comments < 0 or shares < 0:
            print("Invalid input")
            return
        
        topic = parts[1]
        topics.add(topic)
        
        engagement = likes + comments * 2 + shares * 5
        if topic in topic_scores:
            topic_scores[topic] += engagement
        else:
            topic_scores[topic] = engagement
    
    if len(topics) < 2:
        print("Invalid input")
        return
    
    max_score = -1
    max_topic = ''
    for topic, score in topic_scores.items():
        if score > max_score:
            max_score = score
            max_topic = topic
    print(max_topic)

Last phase Hiring