def evolve_playfield(playfield, new_pf, alpaca, verbose=False):
if playfield.min_y is None:
return
bb = BoundingBox(0, 0, 0, 0)
fit_bounding_box(alpaca, bb)
y = playfield.min_y - bb.max_dy
while y <= playfield.max_y - bb.min_dy:
x = playfield.min_x - bb.max_dx
while x <= playfield.max_x - bb.min_dx:
state_id = playfield.get(x, y)
if verbose:
print "state at (%d,%d): %s" % (x, y, state_id)
state_ast = find_state_defn(alpaca, state_id)
if verbose:
print " => %r" % state_ast
classes = state_ast.classes
rules = state_ast.rules
new_state_id = apply_rules(alpaca, playfield, x, y, rules, classes, verbose=verbose)
if new_state_id is None:
new_state_id = state_id
if verbose:
print "new state: %s" % new_state_id
new_pf.set(x, y, new_state_id)
x += 1
y += 1
def evolve_playfield(playfield, new_pf, alpaca, verbose=False):
if playfield.min_y is None:
return
bb = BoundingBox(0, 0, 0, 0)
fit_bounding_box(alpaca, bb)
y = playfield.min_y - bb.max_dy
while y <= playfield.max_y - bb.min_dy:
x = playfield.min_x - bb.max_dx
while x <= playfield.max_x - bb.min_dx:
state_id = playfield.get(x, y)
if verbose:
print "state at (%d,%d): %s" % (x, y, state_id)
state_ast = find_state_defn(alpaca, state_id)
if verbose:
print " => %r" % state_ast
classes = state_ast.classes
rules = state_ast.rules
new_state_id = apply_rules(alpaca,
playfield,
x,
y,
rules,
classes,
verbose=verbose)
if new_state_id is None:
new_state_id = state_id
if verbose:
print "new state: %s" % new_state_id
new_pf.set(x, y, new_state_id)
x += 1
y += 1
def compile(self):
bb = BoundingBox(0, 0, 0, 0)
fit_bounding_box(self.alpaca, bb)
self.file.write("""\
/*
* This file was AUTOMATICALLY generated from an ALPACA description.
* EDIT AT YOUR OWN RISK!
*/
function in_nbhd_pred(pf, x, y, pred, nbhd) {
var count = 0;
for (var i = 0; i < nbhd.length; i++) {
if (pred(pf.get(x+nbhd[i][0], y+nbhd[i][1]))) {
count++;
}
}
return count;
}
function in_nbhd_eq(pf, x, y, stateId, nbhd) {
return in_nbhd_pred(pf, x, y, function(x) { return x === stateId; }, nbhd);
}
function evolve_playfield(pf, new_pf) {
pf.map(new_pf, evalState, %d, %d, %d, %d);
}
""" % (
-1 * bb.max_dx,
-1 * bb.max_dy,
-1 * bb.min_dx,
-1 * bb.min_dy,
))
# write the CA's load and dump mappers
repr_map = construct_representation_map(self.alpaca)
self.file.write("function loadMapper(c) {\n")
for (char, state_id) in repr_map.iteritems():
self.file.write(" if (c === '%s') return '%s';\n" %
(char, state_id))
self.file.write("};\n")
self.file.write("function dumpMapper(s) {\n")
for (char, state_id) in repr_map.iteritems():
self.file.write(" if (s === '%s') return '%s';\n" %
(state_id, char))
self.file.write("};\n")
class_map = get_class_map(self.alpaca)
for (class_id, state_set) in class_map.iteritems():
self.file.write("function is_%s(st) {\n" % class_id)
self.file.write(" return ")
for state_id in state_set:
self.file.write("(st === '%s') || " % state_id)
self.file.write("0;\n}\n\n")
for defn in self.alpaca.defns:
if defn.type == 'ClassDefn':
self.compile_class_defn(defn)
for defn in self.alpaca.defns:
if defn.type == 'StateDefn':
self.compile_state_defn(defn)
self.write_evalstate_function()
pf = get_defined_playfield(self.alpaca)
if pf is not None:
self.file.write("var defaultCell = '%s';\n" % pf.default)
self.file.write("var initialPlayfield = [{}];\n".format(','.join(
"[%d, %d, '%s']" % (x, y, c) for (x, y, c) in pf.iteritems())))
return True
def compile(self):
bb = BoundingBox(0, 0, 0, 0)
fit_bounding_box(self.alpaca, bb)
self.file.write("""\
/*
* This file was AUTOMATICALLY generated from an ALPACA description.
* EDIT AT YOUR OWN RISK!
*/
""")
if self.options is not None and \
self.options.include_yoob_playfield_inline:
self.file.write(YOOB_PLAYFIELD_JS)
self.file.write("""
function in_nbhd_pred(pf, x, y, pred, nbhd) {
var count = 0;
for (var i = 0; i < nbhd.length; i++) {
if (pred(pf.get(x+nbhd[i][0], y+nbhd[i][1]))) {
count++;
}
}
return count;
}
function in_nbhd_eq(pf, x, y, stateId, nbhd) {
return in_nbhd_pred(pf, x, y, function(x) { return x === stateId; }, nbhd);
}
function evolve_playfield(pf, new_pf) {
pf.map(new_pf, evalState, %d, %d, %d, %d);
}
""" % (-1 * bb.max_dx, -1 * bb.max_dy, -1 * bb.min_dx, -1 * bb.min_dy,))
# write the CA's load and dump mappers
repr_map = construct_representation_map(self.alpaca)
self.file.write("function loadMapper(c) {\n")
for (char, state_id) in repr_map.iteritems():
self.file.write(" if (c === '%s') return '%s';\n" %
(char, state_id))
self.file.write("};\n")
self.file.write("function dumpMapper(s) {\n")
for (char, state_id) in repr_map.iteritems():
self.file.write(" if (s === '%s') return '%s';\n" %
(state_id, char))
self.file.write("};\n")
class_map = get_class_map(self.alpaca)
for (class_id, state_set) in class_map.iteritems():
self.file.write("function is_%s(st) {\n" % class_id)
self.file.write(" return ");
for state_id in state_set:
self.file.write("(st === '%s') || " % state_id)
self.file.write("0;\n}\n\n")
defns = self.alpaca.children[0]
for defn in defns.children:
if defn.type == 'ClassDefn':
self.compile_class_defn(defn)
for defn in defns.children:
if defn.type == 'StateDefn':
self.compile_state_defn(defn)
self.write_evalstate_function()
pf = get_defined_playfield(self.alpaca)
if pf is not None:
self.file.write("""
pf = new yoob.Playfield();
pf.setDefault('%s');
""" % pf.default)
for (x, y, c) in pf.iteritems():
self.file.write("pf.putDirty(%d, %d, '%s');\n" % (x, y, c))
self.file.write("pf.recalculateBounds();\n")
self.file.write(r"""
newPf = new yoob.Playfield();
newPf.setDefault('%s');
evolve_playfield(pf, newPf);
console.log('-----');
console.log(newPf.dump(dumpMapper).replace(/\n$/, ""));
console.log('-----');
""" % pf.default)
return True
def compile(self):
bb = BoundingBox(0, 0, 0, 0)
fit_bounding_box(self.alpaca, bb)
self.file.write("""\
/*
* This file was AUTOMATICALLY generated from an ALPACA description.
* EDIT AT YOUR OWN RISK!
*/
function in_nbhd_pred(pf, x, y, pred, nbhd) {
var count = 0;
for (var i = 0; i < nbhd.length; i++) {
if (pred(pf.get(x+nbhd[i][0], y+nbhd[i][1]))) {
count++;
}
}
return count;
}
function in_nbhd_eq(pf, x, y, stateId, nbhd) {
return in_nbhd_pred(pf, x, y, function(x) { return x === stateId; }, nbhd);
}
function evolve_playfield(pf, new_pf) {
pf.map(new_pf, evalState, %d, %d, %d, %d);
}
""" % (-1 * bb.max_dx, -1 * bb.max_dy, -1 * bb.min_dx, -1 * bb.min_dy,))
# write the CA's load and dump mappers
repr_map = construct_representation_map(self.alpaca)
self.file.write("function loadMapper(c) {\n")
for (char, state_id) in repr_map.iteritems():
self.file.write(" if (c === '%s') return '%s';\n" %
(char, state_id))
self.file.write("};\n")
self.file.write("function dumpMapper(s) {\n")
for (char, state_id) in repr_map.iteritems():
self.file.write(" if (s === '%s') return '%s';\n" %
(state_id, char))
self.file.write("};\n")
class_map = get_class_map(self.alpaca)
for (class_id, state_set) in class_map.iteritems():
self.file.write("function is_%s(st) {\n" % class_id)
self.file.write(" return ");
for state_id in state_set:
self.file.write("(st === '%s') || " % state_id)
self.file.write("0;\n}\n\n")
for defn in self.alpaca.defns:
if defn.type == 'ClassDefn':
self.compile_class_defn(defn)
for defn in self.alpaca.defns:
if defn.type == 'StateDefn':
self.compile_state_defn(defn)
self.write_evalstate_function()
pf = get_defined_playfield(self.alpaca)
if pf is not None:
self.file.write("var defaultCell = '%s';\n" % pf.default)
self.file.write("var initialPlayfield = [{}];\n".format(
','.join("[%d, %d, '%s']" % (x, y, c) for (x, y, c) in pf.iteritems())
))
return True