Question: import sys # Function to read the current board from Qboard.txt def read _ board ( filename = 'Qboard.txt ' ) : board = [

import sys
# Function to read the current board from Qboard.txt
def read_board(filename='Qboard.txt'):
board =[]
with open(filename,'r') as f:
for line in f:
board.append(list(line.strip())) # Read each line as a list of characters
return board
# Function to write the updated board to Qboard.txt
def write_board(board, filename='Qboard.txt'):
with open(filename,'w') as f:
for row in board:
f.write(''.join(row)+'
')
# Function to check if placing a sequence of tiles is valid
def is_valid_sequence(sequence):
total = sum(int(tile) for tile in sequence)
return total %5==0
# Function to suggest placement (basic implementation)
def suggest_placement(board, tiles):
center =(9,9) # Initial center position for first move
for i in range(len(tiles)):
for j in range(i +1, len(tiles)+1):
sequence = tiles[i:j]
if len(sequence)<=5 and is_valid_sequence(sequence):
# Try to place horizontally or vertically near existing tiles
if board[center[0]][center[1]]=='.':
board[center[0]][center[1]:center[1]+len(sequence)]= sequence
score = sum(int(tile) for tile in sequence)
remaining_tiles = tiles[j:]
return score, remaining_tiles
return 0, tiles # If no valid placement found
# Main function to run the program
def main():
if len(sys.argv)!=2:
print("Usage: python your_last_name-05.py ")
sys.exit(1)
# Read the current tiles from command line
tile_input = sys.argv[1]
tiles = list(tile_input) # Convert input to a list of digits (tiles)
# Read the board from file
board = read_board()
# Suggest a placement and calculate the score
score, remaining_tiles = suggest_placement(board, tiles)
# Write the updated board to the file
write_board(board)
# Output the score and the remaining tiles
print(f"Scored: {score} Remaining tiles: {''.join(remaining_tiles)}")
if __name__=="__main__":
main()
For the code above please write an anlysis report with the following instructions:
Analysis Report Structure
Analytical
Summary of analytical and empirical results.
Performance critical code section(s)
Compress trivial code segments to better present the critical code control structure.This is typically found in the main()method, or one level of abstraction beneath.
Step count analysis of each critical section.
Space analysis of each critical section.
Determine overall space and time complexity.
Predict runtime performance
Empirical
Describe test plan and rational for test data sets
Graph runtime performance with trend line
Determine program limitations given3second time constraint and256MB working space.

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