Finished rolling stone playfield generation.
This commit is contained in:
Niels Serup
parent
2457f743cc
commit
6c050f954b
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@ -1,3 +1,2 @@
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*~
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*.pyc
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*.pyo
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*.py[co]
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@ -53,13 +53,9 @@ class Left(Direction):
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x, y = pos
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return x - 1, y
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succ = {Up: Right,
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Right: Down,
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Down: Left,
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Left: Up}.__getitem__
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all_directions = set((Up, Left, Down, Right))
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pred = {Right: Up,
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Down: Right,
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Left: Down,
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Up: Left}.__getitem__
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succ = lambda d: all_directions[(all_directions.index(d) + 1) % 4]
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pred = lambda d: all_directions[(all_directions.index(d) - 1) % 4]
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isDirection = lambda obj: obj in (Up, Left, Down, Right)
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@ -1,4 +1,5 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# This file is part of ROBOTGAME
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#
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@ -28,157 +29,184 @@ direction-changing turns. Also has a pseudo-random playfield generator.
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"""
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from __future__ import print_function
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import math
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import itertools
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from robotgame.logic.direction import *
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import random
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class RollingStoneError(Exception):
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pass
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class WouldHitWall(RollingStoneError):
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class Stone(object):
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pass
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class Field(object):
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def next_posdir(self):
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raise NotImplementedError
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class Start(Field):
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def __init__(self, direction):
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self.direction = direction
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def next_posdir(self, pos, direc):
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return self.direction.next_pos(pos), self.direction
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class Turn(Field):
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def __init__(self, direction):
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self.direction = direction
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def next_posdir(self, pos, direc):
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return self.direction.next_pos(pos), self.direction
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class Goal(Field):
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def next_posdir(self, pos, direc):
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return pos, direc
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class Stone(Field):
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def next_posdir(self, pos, direc):
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return pos, direc
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def step(playfield, old_pos, old_direc):
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def step(playfield, width, height, old_pos, direc):
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"""
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Return a new (position, direction) tuple based on the location on the
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playfield.
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"""
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field = _at(playfield, old_pos)
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if field is not None:
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(x, y), direc = field.next_posdir(old_pos, old_direc)
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else:
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(x, y), direc = old_direc.next_pos(old_pos), old_direc
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pos = direc.next_pos(old_pos)
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x, y = pos
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if playfield.get(pos) is Stone or x < 0 or x >= width \
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or y < 0 or y >= height:
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pos = old_pos
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elif isDirection(playfield.get(pos)):
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direc = playfield[pos]
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return pos, direc
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if x < 0 or x >= len(playfield[y]) or y < 0 or y >= len(playfield):
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return old_pos, old_direc
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return (x, y), direc
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def reaches_goal(playfield, width, height, max_steps, start_pos, goal_pos):
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"""
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Determine if the rolling stone reaches the goal within max_steps steps.
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def reaches_goal(playfield, max_steps):
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playfield[start_pos] must contain either a Turn(Down) or a Turn(Right)
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object, or the rolling stone will not roll.
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"""
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Determine if the rolling stone reaches the goal within range(max_steps).
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"""
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pos = _find_start(playfield)
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direc = None
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for i in range(max_steps):
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new_pos, new_direc = step(playfield, pos, direc)
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if isGoal(playfield, pos):
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pos = start_pos
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direc = playfield[pos]
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for _ in range(max_steps):
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new_pos, new_direc = step(playfield, width, height, pos, direc)
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if new_pos == goal_pos:
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return True
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if new_pos == pos:
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return False
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pos, direc = new_pos, new_direc
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return False
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def _find_start(playfield):
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for y in range(len(playfield)):
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for x in range(len(playfield[y])):
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if isStart(playfield, (x, y)):
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return (x, y)
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raise RollingStoneError("Missing Start field")
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def _at(playfield, pos):
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x, y = pos
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return playfield[y][x]
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def _set(playfield, pos, val):
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x, y = pos
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playfield[y][x] = val
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_is = lambda t: lambda playfield, pos: isinstance(_at(playfield, pos), t)
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isGoal, isTurn, isStart, isStone = _is(Goal), _is(Turn), _is(Start), _is(Stone)
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def generate_playfield(height, width, start_pos, start_direc, goal_pos, nstones, nturns=None):
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def generate_simple_playfield(width, height, nturns, nstones):
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"""
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Generate a completable playfield.
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Generate a completable playfield where:
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* the starting position is in the upper left corner
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* the goal is in the lower right corner
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* the playfield is completable in nturns or less
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* the playfield has at most nstones stones
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The generated playfield will have nstones stones nturns turns. A
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completable playfield will always be completable in either zero, one, or
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two steps.
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Return (playfield : {(x, y): Direction | Stone},
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steps : int)
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where (x, y) : (int, int)
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The returned playfield contains Direction objects which can be used with
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the step function to move towards the goal. The solution denoted by the
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Direction objects is not necessarily the only solution.
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'steps' is the number of steps used by the generated solution. It is not
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necessarily the lowest number of steps the playfield can be completed in.
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"""
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playfield = [[None for i in range(width)] for i in range(height)]
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_set(playfield, start_pos, Start(start_direc))
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_set(playfield, goal_pos, Goal())
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def _find_min_turns(from_pos, from_direc):
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x0, y0 = from_pos
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x2, y2 = goal_pos
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turns = []
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if from_direc in (Up, Left):
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def get_turns(x0, y0, x2, y2):
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if y0 == 0:
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raise WouldHitWall
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elif y0 < y2:
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turns.append(((x0, y0 - 1), succ(succ(from_direc))))
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turns.extend(_find_min_turns(*turns[-1]))
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elif y0 > y2 and x0 != x2:
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turns.append(((x0, y2), succ(from_direc) if x0 < x2 else pred(from_direc)))
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elif y0 == y2 and x0 != x2:
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turns.append(((x0, y0 - 1), succ(from_direc) if x0 < x2 else pred(from_direc)))
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turns.append(((x2, y0 - 1), succ(succ(from_direc))))
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return turns
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if from_direc is Up:
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turns = get_turns(x0, y0, x2, y2)
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else:
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turns = [((x, y), direc) for ((y, x), direc) in get_turns(y0, x0, y2, x2)]
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min_width, min_height = _min_play_size(nturns)
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if width < min_width or height < min_height:
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nturns = min(2 * (width - 1), 2 * (height - 1) - 1)
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min_width, min_height = _min_play_size(nturns)
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do_transpose = random.choice((True, False))
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if do_transpose:
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width, height = height, width
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turns, stones = [((0, 0), None)], []
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x, y = (0, 0)
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not_allowed_y = []
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offset_x = 0
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while True:
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missing = nturns - len(turns) + 1
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if missing == 1:
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turns[-1] = (turns[-1][0], Down)
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turns.append(((x, height - 1), Right))
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break
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elif missing == 0:
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break
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else:
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def get_turns(x0, y0, x2, y2):
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if x0 > x2:
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turns.append(((x0 + 1, y0), succ(succ(from_direc))))
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turns.extend(_find_min_turns(*turns[-1]))
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elif x0 < x2 and y0 != y2:
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turns.append(((x2, y0), pred(from_direc) if y0 < y2 else succ(from_direc)))
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elif x0 == x2 and y0 != y2:
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turns.append(((x0 + 1, y0), pred(from_direc) if y0 < y2 else succ(from_direc)))
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turns.append(((x0 + 1, y2), succ(succ(from_direc))))
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return turns
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if from_direc is Right:
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if x0 == len(playfield[y0]):
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raise WouldHitWall
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turns = get_turns(x0, y0, x2, y2)
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else:
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if y0 == len(playfield):
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raise WouldHitWall
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turns = [((x, y), direc) for ((y, x), direc) in get_turns(y0, x0, y2, x2)]
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return turns
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def _randomize_path(turns):
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pass
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def _insert_stones(turns):
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pass
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allowed = set(range(0, height)) - set(not_allowed_y)
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if missing == 3:
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allowed -= set((height - 1,))
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if missing == nturns:
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allowed -= set((0,))
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y1 = random.choice(list(allowed))
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turns[-1] = (turns[-1][0], Down if y1 > y else Up)
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not_allowed_y.append(y1)
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if len(not_allowed_y) == 3:
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del not_allowed_y[0]
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turns.append(((x, y1), Right))
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x1p = random.randint(0, width - min_width - offset_x)
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offset_x += x1p
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x1 = x + x1p + 1
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turns.append(((x1, y1), None))
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x, y = x1, y1
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turns.append(((width - 1, height - 1), None))
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turns = _find_min_turns(start_pos, start_direc)
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if nturns is not None:
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if len(turns) > nturns:
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raise RollingStoneError("Too few steps allocated.")
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_randomize_path(turns)
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_insert_stones()
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return playfield, 3
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if do_transpose:
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turns[:] = [((y, x), {
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Down: Right,
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Right: Down,
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Up: Left,
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}.get(d)) for ((x, y), d) in turns]
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used_fields = _fields_from_turns(turns)
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playfield = {}
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for p, d in turns:
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playfield[p] = d
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emptys = set(itertools.product(range(width),
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range(height))) - set(used_fields)
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for _ in range(nstones):
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if not emptys:
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break
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pos = random.choice(list(emptys))
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emptys.remove(pos)
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playfield[pos] = Stone
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return playfield, len(used_fields) - 1
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def generate_simple_unsolved_solvable_playfield(width, height, nturns, nstones):
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"""
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Return a tuple of a playfield without direction objects, and a list of the
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direction objects.
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"""
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playfield = generate_simple_playfield(width, height, nturns, stones)
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new_playfield, directions = {}, []
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for pos, val in playfield.items():
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if val is Stone:
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new_playfield[pos] = val
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else:
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directions.append(val)
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return new_playfield, directions
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def generate_simple_unsolved_solvable_extra(width, height, nturns, nstones):
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"""
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Do the same as generate_simple_unsolved_solvable, but throw in some copies
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of the direction object not returned by that function. You probably want to
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use this in your game.
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"""
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playfield, directions = generate_simple_unsolved_solvable(
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width, height, nturns, nstones)
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missing_dir = list(all_directions - set(directions))[0]
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return playfield, directions + [missing_dir] * (len(directions) / 3)
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def print_playfield(playfield, width, height, hide_directions):
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text = [['·' for _ in range(width)] for _ in range(height)]
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for (x, y), val in playfield.items():
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if isDirection(val) and hide_directions:
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continue
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text[y][x] = '%' if val == Stone else repr(val).rsplit('.', 1)[1][0] \
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if isDirection(val) else 'G'
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print('\n'.join(''.join(line) for line in text))
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def _cells_upto(fields, start, direc, end):
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(x0, y0), (x2, y2) = start, end
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if direc in (Up, Down):
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t = -1 if direc == Up else 1
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for y in range(y0 + t, y2 + t, t):
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fields.append((x0, y))
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else:
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t = -1 if direc == Left else 1
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for x in range(x0 + t, x2 + t, t):
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fields.append((x, y0))
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def _fields_from_turns(turns):
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fields = [(0, 0)]
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prev_pos, prev_direc = turns[0]
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for (pos, direc) in turns:
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_cells_upto(fields, prev_pos, prev_direc, pos)
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prev_pos, prev_direc = pos, direc
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return fields
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def _min_play_size(nturns):
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return (int(math.ceil(nturns / 2.0)) + 1,
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int(math.ceil((nturns + 1) / 2.0)) + 1)
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@ -1,31 +1,39 @@
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from __future__ import print_function
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import unittest
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from robotgame.logic.rollingstone import *
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from robotgame.logic.direction import *
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playfield_example_succeed = [
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[Start(Down), None, None, None ],
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[None, None, Stone(), None ],
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[Turn(Right), None, Turn(Down), None ],
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[None, Stone(), Turn(Right), Goal()],
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]
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playfield_example_fail = [
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[Start(Down), None, None, None ],
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[None, None, Stone(), None ],
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[Turn(Right), Stone(), Turn(Down), None ],
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[None, None, Turn(Right), Goal()],
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]
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class RollingStoneTest(unittest.TestCase):
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def test_playfield(self):
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self.assertTrue(reaches_goal(playfield_example_succeed, 100))
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self.assertFalse(reaches_goal(playfield_example_fail, 100))
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playfield_example_succeed = {
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(0, 0): Down,
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(0, 2): Right,
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(1, 3): Stone,
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(2, 1): Stone,
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(2, 2): Down,
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(2, 3): Right,
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}
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self.assertTrue(reaches_goal(playfield_example_succeed,
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4, 4, 100, (0, 0), (3, 3)))
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playfield_example_succeed[(1, 2)] = Stone
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self.assertFalse(reaches_goal(playfield_example_succeed,
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4, 4, 100, (0, 0), (3, 3)))
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def test_playfield_generation(self):
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playfield, min_steps = generate_playfield(10, 10, (0, 0), Down, (9, 9), 10, 5)
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# self.assertTrue(reaches_goal(playfield, min_steps))
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print()
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playfield, steps = generate_simple_playfield(10, 10, 100, 100)
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print_playfield(playfield, 10, 10, True)
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self.assertTrue(
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reaches_goal(playfield, 10, 10, steps, (0, 0), (9, 9)))
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print()
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playfield, steps = generate_simple_playfield(10, 10, 7, 20)
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print_playfield(playfield, 10, 10, True)
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self.assertTrue(
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reaches_goal(playfield, 10, 10, steps, (0, 0), (9, 9)))
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if __name__ == '__main__':
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unittest.main()
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