Python MultiGrid.get_neighbors方法代碼示例

# 需要導入模塊: from mesa.space import MultiGrid [as 別名]
# 或者: from mesa.space.MultiGrid import get_neighbors [as 別名]
class TestMultiGrid(unittest.TestCase):
    '''
    Testing a toroidal MultiGrid
    '''

    torus = True

    def setUp(self):
        '''
        Create a test non-toroidal grid and populate it with Mock Agents
        '''
        width = 3
        height = 5
        self.grid = MultiGrid(width, height, self.torus)
        self.agents = []
        counter = 0
        for x in range(width):
            for y in range(height):
                for i in range(TEST_MULTIGRID[x][y]):
                    counter += 1
                    # Create and place the mock agent
                    a = MockAgent(counter, None)
                    self.agents.append(a)
                    self.grid.place_agent(a, (x, y))

    def test_agent_positions(self):
        '''
        Ensure that the agents are all placed properly on the MultiGrid.
        '''
        for agent in self.agents:
            x, y = agent.pos
            assert agent in self.grid[x][y]

    def test_neighbors(self):
        '''
        Test the toroidal MultiGrid neighborhood methods.
        '''

        neighborhood = self.grid.get_neighborhood((1, 1), moore=True)
        assert len(neighborhood) == 8

        neighborhood = self.grid.get_neighborhood((1, 4), moore=True)
        assert len(neighborhood) == 8

        neighborhood = self.grid.get_neighborhood((0, 0), moore=False)
        assert len(neighborhood) == 4

        neighbors = self.grid.get_neighbors((1, 4), moore=False)
        assert len(neighbors) == 0

        neighbors = self.grid.get_neighbors((1, 4), moore=True)
        assert len(neighbors) == 5

        neighbors = self.grid.get_neighbors((1, 1), moore=False,
                                            include_center=True)
        assert len(neighbors) == 7

        neighbors = self.grid.get_neighbors((1, 3), moore=False, radius=2)
        assert len(neighbors) == 11

# 需要導入模塊: from mesa.space import MultiGrid [as 別名]
# 或者: from mesa.space.MultiGrid import get_neighbors [as 別名]

#.........這裏部分代碼省略.........
        self.sid_alive.append(sid)
    # For entry
    if self.entry == 1:
      # Initialize the profitability vector
      self.pi = [0] * (self.height * self.width)
    elif self.entry == 2:
      # Calculate the average cash balance (scalar)
      total_cash = 0
      cnt_seller = 0
      total_cash = sum([self.sellers[sid].cash for sid in self.sid_alive])
      self.avg_cash = total_cash / len(self.sid_alive)
    elif self.entry == 3:
      # Calculate the max cash balance (scalar)
      temp_sids = self.sid_alive
      cash_bals = [self.sellers[sid].cash for sid in temp_sids]
      new_sellers = True

      # Loops over maximal sellers until it finds one with no new firms nearby
      while(new_sellers):
        max_cash = max(cash_bals)
        if(max_cash < self.entryThreshhold): break
        max_cash_ind = cash_bals.index(max_cash)
        max_sid = temp_sids[max_cash_ind]
        max_x = self.sellers[max_sid].pos[0]
        max_y = self.sellers[max_sid].pos[1]
        if(self.entryDebug):
          print("Max Cash, sid:", max_sid, ", Cell:(" + str(max_x) + ", " + str(max_y) + ")")
          print("-Neighbor Ages:", end=" ")

        new_sellers = False
        # Check the age of all firms nearby the max cash balance firm
        # (wants to avoid new firms)

        for neighbor in self.grid.get_neighbors((max_x, max_y),True,True,self.entryRadius):
          if(isinstance(neighbor, Seller) and self.entryDebug): print(str(neighbor.age), end=" ")
          if(isinstance(neighbor, Seller) and neighbor.age < 52): new_sellers = True
        if(new_sellers):
          if(self.entryDebug):
            print("\n-New Firm Exists Near sid: ", max_sid, ", Cell:(" + str(max_x) + ", " + str(max_y) + ")")
          del temp_sids[max_cash_ind]
          del cash_bals[max_cash_ind]

    '''
    Entry
      Entry=1
        Determine the most profitable position and whether to enter
        Threshold: the fixed costs
      Entry=2
        Enter whenever Avg cash balance > entryThreshhold
      Entry=3
        Checks that no new firms are near the max balance seller
        Enters within entryRadius units of the seller with max cash balance
    '''
    entry_on = False

    if (self.entry == 1 and self.mktresearch):
      opt = max(self.pi)
      opt_pos = self.pi.index(opt)

      if opt >= self.costs:
        x = opt_pos // self.width
        y = opt_pos % self.width
        entry_on = True

    elif (self.entry == 2 and self.avg_cash > self.entryThreshhold):
      x = np.random.randint(self.width)