The evolution of TV technology has dramatically transformed the viewing experience, enhancing both visual and interactive aspects. Early television sets, with their black-and-white displays and limited channels, have given way to advanced technologies like high-definition (HD), 4K Ultra HD, and now 8K resolution, providing crystal-clear images and vibrant colors that make content more immersive and lifelike.

The transition from CRT (cathode-ray tube) to flat-panel displays, including LCD, LED, and OLED, has significantly improved picture quality, brightness, and contrast ratios while making TVs thinner and more energy-efficient. These advancements have also facilitated larger screen sizes, turning living rooms into home theaters.

Smart TVs have revolutionized the way we access and interact with content. Integrating internet connectivity and streaming services, they offer a vast array of on-demand movies, TV shows, and apps, eliminating the dependency on traditional broadcast schedules. Voice control and AI-powered recommendations personalize the viewing experience, making it more user-friendly and tailored to individual preferences.

Additionally, advancements in audio technology, such as Dolby Atmos, have enhanced sound quality, providing a more cinematic experience. Features like HDR (High Dynamic Range) deliver greater detail in both dark and bright scenes, further elevating the overall visual experience.

In essence, the evolution of TV technology has made watching television more engaging, convenient, and customizable, significantly enriching the entertainment experience.

Defination: Maximize total value of items without exceeding weight limit using given weights and values.

def knapsack(values,weights,capacity):

   n=len(values)
   dp=[[0 for _ in range(capacity+1)] for _ in range(n+1)]
   #Fill the dp array
   for i in range(1,n+1):
      for w in range(1,capacity+1):
          if weights[i-1]<=w:
             dp[i][w]=max(dp[i-1][w],dp[i-1][w-weights[i-1]]+values[i-1])
          else:
             dp[i][w]=dp[i-1][w]
   #The maximum value is in the bottom-right corner of the dp array
   return dp[n][capacity]
values=[60,100,120]
weights=[10,20,30]
capacity=50
max_value=knapsack(values,weights,capacity)
print(f"The maximum value that can be obtained is: {max_value}")