def _InitWeights(self):
"""Initializes WeightedCollections for use in generating new beans."""
# Actual production data ends up being a bit too skewed towards the largest
# regions for gameplay purposes, so we smooth the distribution out by moving
# all weights towards the median.
region_weights = self._params.region_weights.AsDict()
regions_by_weight = sorted(region_weights.items(), key=lambda x: x[1])
region_value_median = regions_by_weight[len(region_weights) // 2][1]
smoothed_region_weights = {
k: v + (region_value_median - v) * 0.5
for k, v in region_weights.items()
}
scale_factor = sum(region_weights.values()) / sum(
smoothed_region_weights.values())
smoothed_region_weights = {
k: scale_factor * v
for k, v in smoothed_region_weights.items()
}
self._weighted_regions = util_lib.WeightedCollection(
smoothed_region_weights.keys(), smoothed_region_weights.values())
self._weighted_rarities = util_lib.WeightedCollection(
self._params.rarity_weights.AsDict().keys(),
self._params.rarity_weights.AsDict().values())
self._weighted_varieties = util_lib.WeightedCollection(
self._params.variety_weights.AsDict().keys(),
self._params.variety_weights.AsDict().values())
self._weighted_regions.Freeze()
self._weighted_rarities.Freeze()
self._weighted_varieties.Freeze()
def testGetItem_doesNotModifyWeights(self):
c = util_lib.WeightedCollection(str(x) for x in range(5))
c.GetItem()
c.GetItem()
self.assertTrue(all(v == 0.2 for v in c._prob_table.values()))
def testSingleItem(self):
c = util_lib.WeightedCollection(['a'])
i = c.GetItem()
self.assertEqual(i, 'a')
self.assertEqual(c.GetWeight(i), 1.0)
def testInitialWeights_omittedWeightsAreSetToOne(self):
choices = ['a', 'b', 'c']
weights = (50, 49)
expected_weights = (0.5, 0.49, 0.01)
c = util_lib.WeightedCollection(choices, weights)
self.assertCountEqual(c._prob_table.values(), expected_weights)
def testModifyWeight_usesUpdateFn(self):
c = util_lib.WeightedCollection(('one', 'two', 'four'))
expected_weight = 2 / 3
new_weight = c.ModifyWeight('four', lambda _: expected_weight)
self.assertAlmostEqual(new_weight, expected_weight)
self.assertAlmostEqual(sum(c._prob_table.values()), 1.0)
def testInitalWeights_areUsed(self):
choices = ['a', 'b', 'c', 'd']
weights = [4, 3, 2, 1]
total_weight = sum(weights)
expected_weights = [x / total_weight for x in weights]
c = util_lib.WeightedCollection(choices, weights)
self.assertCountEqual(c._prob_table.values(), expected_weights)
def __init__(self, params, core): self._params = params_lib.HypeParams(self.DEFAULT_PARAMS) self._params.Override(params) self._params.Lock() self.command_prefix = '%' if core.params.execution_mode.dev else '!' self._core = core self._parsers = [] self._last_called = defaultdict(lambda: defaultdict(float)) self._ratelimit_lock = Lock() self._spook_replies = util_lib.WeightedCollection(messages.SPOOKY_STRINGS)
def testFreeze_doesNotRestrictGets(self):
item = 'x'
c = util_lib.WeightedCollection([item])
c.Freeze()
i = c.GetItem()
w = c.GetWeight(i)
self.assertEqual(i, item)
self.assertEqual(w, 1.0)
def testGetAndDownweightItem_updatesProbabilities(self):
choices = ['a', 'b', 'c', 'd']
c = util_lib.WeightedCollection(choices)
initial_weight = 1 / len(choices)
r = c.GetAndDownweightItem()
self.assertEqual(r, 'b')
self.assertGreater(c.GetWeight('a'), initial_weight)
self.assertLess(c.GetWeight('b'), initial_weight)
self.assertGreater(c.GetWeight('c'), initial_weight)
self.assertGreater(c.GetWeight('d'), initial_weight)
self.assertAlmostEqual(sum(c._prob_table.values()), 1.0)
def __init__(self, *args):
super(StoryCommand, self).__init__(*args)
self._stories = self._params.stories.AsDict()
self._story_choices = util_lib.WeightedCollection(self._stories.keys())
# Store active story keyed on channel id.
self._active_stories = {}
def __init__(self, *args): super(TextCommand, self).__init__(*args) self._choices = util_lib.WeightedCollection(self._params.choices)
def testEmptyCollection(self):
c = util_lib.WeightedCollection([])
i = c.GetItem()
self.assertIsNone(i)
def testFreeze_locksProbabilityTable_fromModifyWeight(self):
c = util_lib.WeightedCollection(['x'])
c.Freeze()
with self.assertRaises(RuntimeError):
c.ModifyWeight('a', lambda x: x)
def testFreeze_locksProbabilityTable_fromGetAndDownweightItem(self):
c = util_lib.WeightedCollection([])
c.Freeze()
with self.assertRaises(RuntimeError):
c.GetAndDownweightItem()
def testInitialProbabilities(self):
c = util_lib.WeightedCollection(['a', 'b', 'c', 'd'])
self.assertTrue(all(v == 0.25 for v in c._prob_table.values()))