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time_settings.py
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# -*- coding: cp1252 -*-
#! /usr/bin/env python
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# Copyright 1999, 2000, 2001, 2002, 2003 and 2004 #
# by the Free Software Foundation. #
# #
# This program is free software; you can redistribute it and/or #
# modify it under the terms of the GNU General Public License #
# as published by the Free Software Foundation - version 2. #
# #
# This program is distributed in the hope that it will be #
# useful, but WITHOUT ANY WARRANTY; without even the implied #
# warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR #
# PURPOSE. See the GNU General Public License in file COPYING #
# for more details. #
# #
# You should have received a copy of the GNU General Public #
# License along with this program; if not, write to the Free #
# Software Foundation, Inc., 59 Temple Place - Suite 330, #
# Boston, MA 02111, USA. #
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
import probstat
import config
class Timekeeper:
def __init__(self):
self.boardsize = 19
self.num_moves = 0
self.statistics = probstat.Probstat(config.statistics_limit)
self.stat_limit_min = 10
self.node_adjustment = 0
self.none = "none"
self.absolute = "absolute"
self.by = "byoyomi"
self.cby = "canadian"
self.main_time = "main_time"
self.by_time = "by_time"
self.stones = "stones"
self.periods = "periods"
self.time_settings = {self.none:False,
self.absolute:False,
self.by:False,
self.cby:False,
self.main_time:0,
self.by_time:0,
self.stones:0,
self.periods:0}
def reset(self):
"""Resets all time settings to zero
Resets boardsize to 19
"""
for k in self.time_settings.keys():
self.time_settings[k] = 0
self.boardsize = 19
def _max_moves(self):
"""Makes an estimate of the number of moves it will have
to play given the size of the board
"""
return int(0.75 * (self.boardsize**2) / 2)
def _can_get_statistics(self):
"""True if enough data has been stored
"""
if self.statistics.size() <= self.stat_limit_min:
return False
else:
return True
def set_boardsize(self, size):
"""Sets the board size for determining the rate to adjust
config.lambda_node_limit and to determine the approximate
number of moves for games
"""
self.boardsize = size
self.node_adjustment = 1 + 38 / size
def kgs_set_time(self, settings):
"""Handles the arguments passed from KGS's "kgs-time_settings"
command.
"""
#settings = ["type", main_time, by_time, stones/periods]
self.reset()
self.time_settings[settings[0]] = True
self.num_moves = self._max_moves()
if self.time_settings[self.none]:
return self.none
self.time_settings[self.main_time] = int(settings[1])
if self.time_settings[self.absolute]:
return self.absolute + " " + str(self.time_settings[self.main_time])
self.time_settings[self.by_time] = int(settings[2])
if self.time_settings[self.by]:
self.time_settings[self.periods] = int(settings[3])
return self.by + " " + str(self.time_settings[self.main_time]) + " " + str(self.time_settings[self.by_time]) + " " + str(self.time_settings[self.periods])
else:
self.time_settings[self.stones] = int(settings[3])
return self.cby + " " + str(self.time_settings[self.main_time]) + " " + str(self.time_settings[self.by_time]) + " " + str(self.time_settings[self.stones])
def time_left(self, parameters):
"""Handles the arguments passed by "time_left" command.
Determines the time per move available. Stores data
on the time it has taken per move.
"""
# parameters is [color, maintime, stones]
# but in kgs, periods is always zero, and when
# byo-yomi is reached, the "main time" will be the sum
# of all periods
#TODO remove? Will this ever be called?
if self.time_settings[self.none]:
return "no time"
if not config.manage_time:
return "time not managed"
time = int(parameters[1])
stones = int(parameters[2])
default_message = "ok"
if self.num_moves <= 0:
self.num_moves = 10
if self.time_settings[self.absolute]:
config.time_per_move_limit = int(time / self.num_moves)
difference = self.time_settings[main_time] - time
if difference == 0:
return default_message
else:
self.num_moves = self.num_moves - 1
data = difference / float(config.lambda_node_limit)
self.statistics.add_data(data)
if not self._can_get_statistics():
return default_message
self.time_settings[self.main_time] = time
if self.time_settings[self.by]:
total_by_time = self.time_settings[self.by_time] * self.time_settings[self.periods]
if time > total_by_time:
difference = self.time_settings[main_time] - time
data = difference / float(config.lambda_node_limit)
self.statistics.add_data(data)
config.time_per_move_limit = int(1.25 * self.time_settings[self.by_time])
self.time_settings[self.main_time] = time
else:
starting_periods = self.time_settings[self.periods]
periods_remaining = time / self.time_settings[self.by_time]
difference = starting_periods - periods_remaining
if difference == 0:
#assume we used most of one period
self.statistics.add_data( 0.95 * self.time_settings[self.by_time] / float(config.lambda_node_limit))
else:
#assume we used just over one period
self.statistics.add_data(1.05 * difference / float(config.lambda_node_limit))
self.time_settings[self.periods] = periods_remaining
# while there are three periods left, not much urgency
config.time_per_move_limit = int(self.time_settings[self.by_time] * self.time_settings[self.periods] / float(3))
if self.time_settings[self.cby]:
if stones == 0: # still in main time
difference = self.time_settings[self.main_time] - time
self.time_settings[self.main_time] = time
else:
difference = self.time_settings[self.by_time] - time
self.time_settings[self.by_time] = time
self.time_settings[self.stones] = stones
time_per_stone = self.time_settings[self.by_time] / self.time_settings[self.stones]
config.time_per_move_limit = time_per_stone
if difference > 0:
data = difference / float(config.lambda_node_limit)
self.statistics.add_data(data)
self._adjust_node_limit()
if not self._can_get_statistics():
return "ok: node limit " + str(config.lambda_node_limit)
return "ok: node limit " + str(config.lambda_node_limit) + " time per move per node mean is " + str(self.statistics.mean()) + " confidence interval is " + str(self.statistics.confidence_interval(2))
def _adjust_node_limit(self):
"""Adjusts config.lambda_node_limit based on statistics of
move history.
"""
#if config.time_per_move_limit <= config.urgent_time_per_move_limit:
# config.lambda_node_limit = config.urgent_node_limit
if self._can_get_statistics():
tpmpn_interval = self.statistics.confidence_interval(2)
config.lambda_node_limit = int(config.time_per_move_limit / tpmpn_interval[1]) + 1