# Path: misc/priority_queue.py
# class HeapElement(object):
#   def __init__(self, key, value):
#     self.key = key
#     self.value = value
#   def __lt__(self, other):
#     return self.key < other.key
#   def __iter__(self):
#     return iter([self.key, self.value])
#   def __repr__(self):
#     return '{}({}, {})'.format(self.__class__.__name__, self.key, self.value)


from misc.utils import *
from misc.priority_queue import HeapElement
  conditions = defaultdict(lambda: defaultdict(set))
  unsatisfied = {}
  queue = []

  def applicable_operator(operator):
    if len(operator.conditions) != 0:
      operator_nodes[operator] = Node(op(variable_nodes[v][val].cost for v, val in operator.cond()),
          max(variable_nodes[v][val].level for v, val in operator.cond()))
    else:
      operator_nodes[operator] = Node(0, 0)
    if operator != goal:
      variable_node = Node(operator_nodes[operator].cost + (operator.cost if not unit else 1),
          operator_nodes[operator].level + 1)
      for var2, value2 in operator.eff():
        if value2 not in variable_nodes[var2] or variable_node < variable_nodes[var2][value2]:
          variable_nodes[var2][value2] = variable_node
          heappush(queue, HeapElement(variable_node, (var2, value2)))

  for operator in operators + [goal]:
    unsatisfied[operator] = len(operator.conditions)
    for var, value in operator.cond(): # TODO - store this in memory
      conditions[var][value].add(operator)
    if unsatisfied[operator] == 0:
      applicable_operator(operator)
      if greedy and operator == goal:
        return variable_nodes, operator_nodes
  for var in conditions:
    for value in conditions[var]:
      if state[var] == value:
        variable_nodes[var][value] = Node(0, 0)

# Path: misc/priority_queue.py
# class HeapElement(object):
#   def __init__(self, key, value):
#     self.key = key
#     self.value = value
#   def __lt__(self, other):
#     return self.key < other.key
#   def __iter__(self):
#     return iter([self.key, self.value])
#   def __repr__(self):
#     return '{}({}, {})'.format(self.__class__.__name__, self.key, self.value)


# Path: sas/hsp.py
from misc.utils import *
from misc.priority_queue import HeapElement

  conditions = defaultdict(lambda: defaultdict(set))
  unsatisfied = {}
  queue = []

  def applicable_operator(operator):
    if len(operator.conditions) != 0:
      operator_nodes[operator] = Node(op(variable_nodes[v][val].cost for v, val in operator.cond()),
          max(variable_nodes[v][val].level for v, val in operator.cond()))
    else:
      operator_nodes[operator] = Node(0, 0)
    if operator != goal:
      variable_node = Node(operator_nodes[operator].cost + (operator.cost if not unit else 1),
          operator_nodes[operator].level + 1)
      for var2, value2 in operator.eff():
        if value2 not in variable_nodes[var2] or variable_node < variable_nodes[var2][value2]:
          variable_nodes[var2][value2] = variable_node
          heappush(queue, HeapElement(variable_node, (var2, value2)))

  for operator in operators + [goal]:
    unsatisfied[operator] = len(operator.conditions)
    for var, value in operator.cond(): # TODO - store this in memory
      conditions[var][value].add(operator)
    if unsatisfied[operator] == 0:
      applicable_operator(operator)
      if greedy and operator == goal:
        return variable_nodes, operator_nodes
  for var in conditions:
    for value in conditions[var]:
      if state[var] == value:
        variable_nodes[var][value] = Node(0, 0)

        heappush(queue, HeapElement(Node(0, 0), (var, value)))