示例#1
0
    def add_rows(self,
                 count: int,
                 debugger: Debugger = Debugger(enabled=False)):
        """
        >>> print("!" + Minefield.from_rows_text('..^^.').add_rows(2).show())
        !..^^.
        .^^^^
        ^^..^
        >>> print("!" + Minefield.from_rows_text(
        ...     '.^^.^.^^^^').add_rows(9).show())
        !.^^.^.^^^^
        ^^^...^..^
        ^.^^.^.^^.
        ..^^...^^^
        .^^^^.^^.^
        ^^..^.^^..
        ^^^^..^^^.
        ^..^^^^.^^
        .^^^..^.^^
        ^^.^^^..^^
        """
        debugger.reset()
        total_target = len(self.rows) + count
        for _ in range(count):
            self.add_row()
            debugger.step()
            if debugger.should_report():
                debugger.default_report(
                    f"rows: {len(self.rows)}/{total_target}")

        return self
示例#2
0
    def get_checksum(self, data: str, debugger: Debugger) -> str:
        """
        >>> DataGenerator().get_checksum("110010110100")
        '100'
        >>> DataGenerator().get_checksum("110101")
        '100'
        >>> DataGenerator().get_checksum("100")
        '100'
        >>> DataGenerator().get_checksum("10000011110010000111")
        '01100'
        """
        reduced = data
        while True:
            new_reduced = self.reduce_data(reduced)
            if new_reduced == reduced:
                break
            reduced = new_reduced

            if debugger.should_report():
                debugger.report(
                    f"Check summing, step: {debugger.step_count}, time: "
                    f"{debugger.pretty_duration_since_start}, size: "
                    f"{len(reduced)}/{len(data)}")

        return reduced
示例#3
0
    def solve(
            self, node_set: 'NodeSetExtended',
            target: Point2D = Point2D.ZERO_POINT,
            debugger: Debugger = Debugger(enabled=False),
    ) -> List['NodeSetExtended']:
        stack = [node_set]
        previous_map: PreviousMap = {node_set: None}
        duplicate_count = 0
        debugger.reset()
        target_position_map = self.get_target_positions(node_set)
        debugger.reset()
        while debugger.step_if(stack):
            current_node_set = stack.pop(0)
            next_states = self.get_next_states(
                current_node_set, target_position_map)
            for next_node_set in next_states:
                if next_node_set in previous_map:
                    duplicate_count += 1
                    continue
                previous_map[next_node_set] = current_node_set
                if next_node_set.position == target:
                    return self.get_solution(next_node_set, previous_map)
                stack.append(next_node_set)

            if debugger.should_report():
                debugger.default_report(
                    f"stack: {len(stack)}, pruned: {duplicate_count}")

        raise Exception(f"Could not find solution")
    def find_minimum_cost_to_organise(
        self, debugger: Debugger = Debugger(enabled=False),
    ) -> int:
        """
        >>> Maze.from_maze_text('''
        ...     #############
        ...     #...........#
        ...     ###B#C#B#D###
        ...       #A#D#C#A#
        ...       #########
        ... ''').find_minimum_cost_to_organise()
        12521
        """
        stack = [(0, 0, self)]
        seen_cost = {self: 0}
        min_cost: Optional[int] = None
        while debugger.step_if(stack):
            move_count, cost, maze = stack.pop(0)
            if seen_cost[maze] < cost:
                continue
            next_move_count = move_count + 1
            next_stack = []
            for move_cost, next_maze in maze.get_next_moves():
                next_cost = cost + move_cost
                if seen_cost.get(next_maze, next_cost + 1) <= next_cost:
                    continue
                if min_cost is not None and min_cost <= next_cost:
                    continue
                next_stack.append((next_move_count, next_cost, next_maze))
            if not next_stack:
                continue
            max_next_finish_count = max(
                next_maze.finish_count
                for _, _, next_maze in next_stack
            )
            for next_move_count, next_cost, next_maze in next_stack:
                if next_maze.finish_count < max_next_finish_count:
                    continue
                if next_maze.finished:
                    min_cost = next_cost
                    continue
                stack.append((next_move_count, next_cost, next_maze))
                seen_cost[next_maze] = next_cost
            if debugger.should_report():
                debugger.default_report(
                    f"{len(stack)} in stack, seen {len(seen_cost)}, "
                    f"last move count is {move_count}, last cost is {cost}, "
                    f"min cost is {min_cost}, last maze is:\n{maze}\n"
                )
        debugger.default_report(
            f"{len(stack)} in stack, seen {len(seen_cost)}, "
            f"min cost is {min_cost}"
        )

        if min_cost is None:
            raise Exception(f"Could not find end state")

        return min_cost
 def solve(self, _input, debugger: Debugger):
     """
     >>> Challenge().default_solve()
     22887907
     """
     firewall = Firewall.from_ranges_text(_input)
     if debugger.should_report():
         debugger.report(f"Total range: {firewall.total_range}")
         for _range in firewall.blocked_ranges:
             debugger.report(f"  {_range}")
     return firewall.get_lowest_non_blocked_value()
示例#6
0
    def fill_disk(self, size: int, initial: str, debugger: Debugger) -> str:
        """
        >>> DataGenerator().fill_disk(20, "10000")
        '10000011110010000111'
        """
        disk = initial
        while len(disk) < size:
            disk = self.increase_data(disk)
            if debugger.should_report():
                debugger.report(
                    f"Filling, step: {debugger.step_count}, time: "
                    f"{debugger.pretty_duration_since_start}, size: "
                    f"{len(disk)}/{size}")

        disk = disk[:size]
        return disk
    def step_many(
        self,
        sequence: str,
        step_count: int = 40,
        debugger: Debugger = Debugger(enabled=False)) -> str:
        """
        >>> LookAndSay().step_many("1", 5)
        '312211'
        """
        debugger.reset()
        result = sequence
        for step in debugger.stepping(range(step_count)):
            result = self.step(result)
            if debugger.should_report():
                debugger.default_report(f"step {step}/{step_count}")

        return result
    def step_many(self, step_count: Optional[int] = None,
                  debugger: Debugger = Debugger(enabled=False)):
        if step_count is None:
            steps = count()
        else:
            steps = range(step_count)
        debugger.reset()
        for _ in debugger.stepping(steps):
            self.step()
            if self.has_finished():
                break
            if debugger.should_report():
                debugger.default_report(
                    f"remaining: {len(self.get_remaining_positions())}, "
                    f"position: {self.position}")

        return self
    def measure_distances(
            self,
            debugger: Debugger = Debugger(enabled=False),
    ) -> None:
        while debugger.step_if(self.stack):
            should_report = debugger.should_report()
            debugger.default_report_if(
                f"Seen {len(self.distances)}, {len(self.stack)} in stack, "
                f"target risk is {self.distances.get(self.target)}")
            if should_report:
                debugger.report(str(self))
            state = self.stack.pop(0)
            if state.distance > self.distances[state.position]:
                continue

            for next_state in state.get_next_states(self):
                self.visit_state(next_state)
        if debugger.enabled:
            debugger.report(str(self))
    def get_minimum_step_count(
            self,
            start: int = 0,
            return_to_start: bool = False,
            debugger: Debugger = Debugger(enabled=False),
    ) -> int:
        """
        >>> Graph({
        ...     (0, 1): 2, (1, 0): 2,
        ...     (0, 4): 2, (4, 0): 2,
        ...     (1, 2): 6, (2, 1): 6,
        ...     (2, 3): 2, (3, 2): 2,
        ...     (3, 4): 8, (4, 3): 8,
        ... }).get_minimum_step_count()
        14
        """
        nodes = self.get_nodes()
        if start not in nodes:
            raise Exception(f"Start {start} is not in nodes {nodes}")
        other_nodes = set(nodes) - {start}
        prefix = (start, )
        if return_to_start:
            suffix = prefix
        else:
            suffix = ()
        visit_orders = (prefix + permutation + suffix
                        for permutation in itertools.permutations(other_nodes))
        min_distance = None
        trip_distances_cache = {}
        for visit_order in debugger.stepping(visit_orders):
            distance = sum(
                self.get_shortest_distance(
                    node_a,
                    node_b,
                    nodes,
                    trip_distances_cache=trip_distances_cache)
                for node_a, node_b in get_windows(visit_order, 2))
            if min_distance is None or distance < min_distance:
                min_distance = distance
            if debugger.should_report():
                debugger.default_report(f"min distance: {min_distance}")

        return min_distance
示例#11
0
    def apply_extended(
            self,
            state: Optional[StateExtended] = None,
            debugger: Debugger = Debugger(enabled=False),
    ) -> StateExtended:
        """
        >>> def check(instructions_text, state_values=None, program_counter=0):
        ...     _state = InstructionSetExtended\\
        ...         .from_instructions_text(instructions_text)\\
        ...         .apply_extended(StateExtended(
        ...             state_values or {}, program_counter))
        ...     # noinspection PyUnresolvedReferences
        ...     values = {
        ...         name: value
        ...         for name, value in _state.values.items()
        ...         if value
        ...     }
        ...     return values, _state.program_counter
        >>> check(
        ...     "cpy 2 a\\n"
        ...     "tgl a\\n"
        ...     "tgl a\\n"
        ...     "tgl a\\n"
        ...     "cpy 1 a\\n"
        ...     "dec a\\n"
        ...     "dec a\\n"
        ... )
        ({'a': 3}, 7)
        """
        if state is None:
            state = StateExtended()
        state.instructions = list(self.instructions)
        debugger.reset()
        while debugger.step_if(
                0 <= state.program_counter < len(state.instructions)):
            self.step(state)
            if debugger.should_report():
                debugger.default_report(
                    f"values: {state.values}, pc: {state.program_counter}")

        return state
示例#12
0
 def get_min_house_number_with_at_least_present_count(
     self,
     min_present_count: int,
     debugger: Debugger = Debugger(enabled=False)
 ) -> int:
     """
     >>> Santa().get_min_house_number_with_at_least_present_count(100)
     6
     """
     max_present_count_seen = None
     debugger.reset()
     for house_number in debugger.stepping(count(1)):
         present_count = self.get_house_present_count(house_number)
         if present_count >= min_present_count:
             return house_number
         if max_present_count_seen is None \
                 or present_count > max_present_count_seen:
             max_present_count_seen = present_count
         if debugger.should_report():
             debugger.default_report(
                 f"max presents: {max_present_count_seen}"
                 f"/{min_present_count}")
 def get_all_possible_chains(
     self,
     start: str,
     prune: Optional[Callable[[str], bool]] = None,
     debugger: Debugger = Debugger(enabled=False),
 ) -> Iterable[Tuple[str, ...]]:
     """
     >>> list(MachineExtended().get_all_possible_chains(""))
     []
     >>> list(MachineExtended({'H': ['O']}).get_all_possible_chains("HH"))
     [('HH', 'OH'), ('HH', 'HO'), ('HH', 'OH', 'OO'), ('HH', 'HO', 'OO')]
     >>> list(MachineExtended({'H': ['O']}).get_all_possible_chains(
     ...     "HH", lambda step: step != 'HO'))
     [('HH', 'OH'), ('HH', 'OH', 'OO')]
     >>> list(MachineExtended({'H': ['OH']}).get_all_possible_chains(
     ...     "HH", lambda step: len(step) <= 4))
     [('HH', 'OHH'), ('HH', 'HOH'), ('HH', 'OHH', 'OOHH'),
         ('HH', 'OHH', 'OHOH'), ('HH', 'HOH', 'OHOH'), ('HH', 'HOH', 'HOOH')]
     >>> list(MachineExtended({'H': ['O'], 'O': ['H']})
     ...      .get_all_possible_chains("HH"))
     [('HH', 'OH'), ('HH', 'HO'), ('HH', 'OH', 'OO'), ('HH', 'HO', 'OO'),
         ('HH', 'OH', 'OO', 'HO'), ('HH', 'HO', 'OO', 'OH')]
     """
     stack = [(start, ())]
     debugger.reset()
     while stack:
         current, chain = stack.pop()
         next_chain = chain + (current, )
         for next_step in self.get_all_possible_next_steps(current):
             if next_step in next_chain:
                 continue
             if prune and not prune(next_step):
                 continue
             yield next_chain + (next_step, )
             stack.append((next_step, next_chain))
         if debugger.should_report():
             debugger.default_report(f"stack size: {len(stack)}, "
                                     f"end length: {len(next_chain[-1])}, "
                                     f"chain length: {len(next_chain)}")
 def find_paths(
         self,
         start: Point2D = Point2D(0, 0),
         finish: Point2D = Point2D(3, 3),
         debugger: Debugger = Debugger(enabled=False),
 ) -> Iterable[str]:
     if start == finish:
         yield ''
     stack = [('', Point2D(0, 0))]
     debugger.reset()
     path_count = 0
     largest_path = None
     while stack:
         path, position = stack.pop(0)
         path_door_states = self.get_path_door_states(path)
         for direction, door_is_open in path_door_states.items():
             if not door_is_open:
                 continue
             next_position = position.offset(direction.offset)
             if not self.is_position_valid(next_position):
                 continue
             next_path = f"{path}{direction.value}"
             if next_position == finish:
                 path_count += 1
                 largest_path = next_path
                 yield next_path
             else:
                 stack.append((next_path, next_position))
         debugger.step()
         if debugger.should_report():
             debugger.report(
                 f"Step: {debugger.step_count}, time: "
                 f"{debugger.pretty_duration_since_start}, stack: "
                 f"{len(stack)}, paths: {path_count}, largest path: "
                 f"{largest_path and len(largest_path)}, average speed: "
                 f"{debugger.step_frequency}, recent speed: "
                 f"{debugger.step_frequency_since_last_report}")