![]() Four-way set associative mapping has four cache lines per set, each line holding a memory block. If the block is present in one of the lines, that line is used otherwise, the block is fetched from the main memory and stored in the cache. Upon a cache miss, the CPU checks both lines in the corresponding set to verify if the required memory block exists. In two-way set associative mapping, every cache set comprises of two cache lines capable of holding a block of memory. Two commonly used mapping techniques are two-way set associative and four-way set associative mapping. Give the comparative analysis of two-way set and four way set associative cache memory mapping techniques which maps 128K×32 primary memory pages to 512 × 32 cache frames ANS) Cache memory mapping techniques are crucial for enhancing computer system performance by minimizing the average memory access time. Print ( 'A ALREADY PICKED UP \n START OVER' )īreak Output: C:\Users\Local\Programs\Python\Python310\python/ai/blocks.py Print ( 'ALREDY PICKED UP \n START OVER' ) Print ( 'TO ACHIEVE GOAL STATE DONT PICK UP "A" PICK THE BLOCKS IN ORDER' ) Print ( 'BLOCKS SHOULD BE PICKED UP IN ORDER \n PICK B NEXT TIME' ) Print ( 'BLOCKS SHOULD BE PICKED UP IN ORDER \n START OVER' ) Print ( 'WRONG INPUT IS GIVEN \n START OVER' ) Print ( 'ALREADY PICKED UP \n START OVER' ) Print ( 'D IS PICKED UP AND PLACED ON C' ) Print ( 'C IS PICKED UP AND PLACED ON B' ) Print ( 'B IS PICKED UP AND PLACED ON A' ) Print ( 'C IS PICKED UP AND KEPT ON GROUND' ) Print ( 'D IS PICKED UP AND KEPT ON GROUND' ) Print ( 'A IS PICKED UP AND KEPT ON GROUND' )Īdd= input ( "WHICH BLOCK DO YOU WANT TP PICK UP:" ) The goal here is to move Block B from the middle of the pile on the left and onto the top of the pile on the right.Add= str ( input ( "WHICH BLOCK DO YOU WANT TP PICK UP:" )) The first item in each 2-tuple should be what block is being moved, and the second item should be where it is being moved to-either the name of another block or “Table” if it is to be put into a new pile.įor example, imagine the following initial and target state: ![]() Optimal moves have always been chosen How to RunĪn initial arrangement of blocks and a goal arrangement of blocks will be given, the agent will return a list of moves that will transform the initial state into the goal state. ![]() Zero, which means it has reached the goal state. Will keep this operation for each block of the left stack until the difference reaches If not, move the top block to the table, skip if aīlock is already on the table alone, then use this state as the new state. To the right stack, followed by checking if the difference has been reduced. The agent was designed to always try firstly moving the top block of the left stack The technique behind the agent is: first use Generate
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