def reset(self):
""" UpdateStateMachin override.
"""
StateMachine.reset(self)
if len(self.ctx.orphaned) > 0:
print "BUG?: Abandoning orphaned requests."
self.ctx.orphaned.clear()
self.ctx = ArchiveUpdateContext(self, self.ctx.ui_)
def amplify(init, program, num):
machine = StateMachine(operators, program)
for tpl in perm(range(num)):
output = init
for signal in tpl:
machine.send(signal, output)
output = next(machine.run())
machine.reset()
yield output
def reset(self):
""" StateMachine override. """
StateMachine.reset(self)
ctx = UpdateContext(self)
ctx.repo = self.ctx.repo
ctx.ui_ = self.ctx.ui_
ctx.bundle_cache = self.ctx.bundle_cache
if len(self.ctx.orphaned) > 0:
print "BUG?: Abandoning orphaned requests."
self.ctx.orphaned.clear()
self.ctx = ctx
def reset(self):
""" StateMachine override. """
StateMachine.reset(self)
ctx = UpdateContext(self)
ctx.repo = self.ctx.repo
ctx.ui_ = self.ctx.ui_
ctx.bundle_cache = self.ctx.bundle_cache
if len(self.ctx.orphaned) > 0:
print "BUG?: Abandoning orphaned requests."
self.ctx.orphaned.clear()
self.ctx = ctx
grid[pos] = next(painter)
direction = next(painter) or -1
orientation = turn(orientation, direction)
pos = move(*pos, orientation)
except StopIteration:
return grid
grid_1 = paints(defaultdict(lambda: 0), (0, 0), 0, robot)
def part_one():
return len(grid_1)
robot.reset()
grid_2 = paints(defaultdict(lambda: 0, [((0, 0), 1)]), (0, 0), 0, robot)
def plot(grid):
keys = grid.keys()
x_max, x_min = max(x for x, y in keys), min(x for x, y in keys)
y_max, y_min = max(y for x, y in keys), min(y for x, y in keys)
x_length = abs(x_max - x_min)
y_length = abs(y_max - y_min)
x_length, y_length
graph = np.array([[0] * (x_length + 1)] * (y_length + 1)).transpose()
for x, y in keys:
x_i, y_i = x - x_min, y - y_min
graph[x_i, y_i] = grid[x, y]