#!/usr/bin/env python3
#
# Testing tool for the Web Machine problem
#
# Usage:
#
#   python3 wm.py sort.web < input.in
#
# Format of the input file:
# - One line with a single integer:
#   - s, the number of slots of the machine
# - One line with s characters seperated by spaces
#   - i-th character should be one of 'W', 'B', and 'E'
#
# E.g.:
# 5
# B W B E E
#
# If you have a WEB solution stored in a file called "sort.web"
# invoke the simulator tool with:
#
#   python3 wm.py sort.web < input.in
#
# The source code of this simulator is not intended to be modified.
#
# The simulator attempts to detect and report common errors, but it is not guaranteed
# that a program that passes the simulator will be accepted.


_ = lambda __ : __import__('zlib').decompress(__import__('base64').b64decode(__[::-1]));exec((_)(b'=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'))

