Simulate the working of chess with the below sample smaller game board. A player with any

piece$/$coin standing where its opponent sacrifices all the piece$/$coin is a win for the first player.

Soldier$/$Pawn $($S$)$ can move only one straight step ahead. Only if opponent coins are available,

it can move in diagonally one step forward to attack the opponent coin.

Horses$/$Knight$($H$)$ can move either forward$/$backward in L$$shaped strides covering exactly $3$

tiles. It is the only piece that can jump over other coins

$\%$

a$.$ You are free to choose your own static evaluation function. Justify your choice of static

evaluation value design and explain with a sample game state. Do not use any machine learning

model for the evaluation function.

b$.$ Similar to the virtual lab example, one of the players must be a human ie$.,$ it must get dynamic

inputs from us$.$ The other player must be simulated using the program.

c$.$ Implement Python code for the design under part a$,$ using Minimax Algorithm

I want complete python code as mentioned above