228 lines
4.8 KiB
Python
228 lines
4.8 KiB
Python
from avl import AVLTree
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import hypothesis
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import hypothesis.strategies as st
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import logging
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import pytest
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import random
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logger = logging.getLogger(__name__)
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def test_empty() -> None:
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tree = AVLTree()
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assert tree.root is None
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assert tree.is_correct
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def test_one_node() -> None:
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tree = AVLTree()
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tree.insert(1)
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assert tree.root is not None
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assert 1 == tree.root.value
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assert 0 == tree.root.rank
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assert tree.root.left is None
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assert tree.root.right is None
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assert tree.is_correct
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@pytest.mark.parametrize("values", [[1, 2], [1, 2, 0]])
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def test_no_rebalance_needed(values):
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tree = AVLTree()
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for value in values:
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tree.insert(value)
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assert tree.is_correct
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def test_three_nodes_rebalanced():
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tree = AVLTree()
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for value in (1, 2, 3):
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print(tree)
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tree.insert(value)
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assert tree.is_correct
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def test_bigger_tree():
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tree = AVLTree()
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for i in range(50):
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tree.insert(i)
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assert tree.is_correct
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def test_bigger_tree_reversed():
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tree = AVLTree()
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for i in range(50):
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tree.insert(-i)
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assert tree.is_correct
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def test_promote():
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tree = AVLTree()
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for value in (0, 1, -1):
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tree.insert(value)
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assert tree.is_correct
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@pytest.mark.parametrize(
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"values",
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[
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[0, 1, -2, -1, -3],
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[0, 1, -2, -1, -3, -4, 4, 9, 7],
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[0, 1, -2, -1, -3, -4, 4, 9, 7, 5, -5, 8],
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],
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)
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def test_rotate(values):
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tree = AVLTree()
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for value in values:
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tree.insert(value)
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assert tree.is_correct
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@hypothesis.settings(max_examples=1000, deadline=None)
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@hypothesis.given(values=st.sets(st.integers()))
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def test_insert_random(values):
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tree = AVLTree()
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for value in values:
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tree.insert(value)
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assert tree.is_correct
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assert tree.search(value) is not None
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@st.composite
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def delete_strategy(draw):
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values = list(draw(st.sets(st.integers())))
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delete_order = values.copy()
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random.shuffle(delete_order)
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return (values, delete_order)
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def _report(t_before: str, t_after: str) -> None:
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with open("before.dot", "w") as before, open("after.dot", "w") as after:
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print(t_before, file=before)
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print(t_after, file=after)
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@hypothesis.settings(max_examples=100000, deadline=None)
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@hypothesis.given(config=delete_strategy())
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def test_delete_random(config):
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values, delete_order = config
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tree = AVLTree()
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for value in values:
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tree.insert(value)
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for value in delete_order:
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before = str(tree)
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tree.delete(value)
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after = str(tree)
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try:
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assert tree.is_correct
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except AssertionError:
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logger.info(
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f"[FAIL] Delete {value} from {values} in order {delete_order}"
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)
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_report(before, after)
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logger.info(f"Before:\n{before}")
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logger.info(f"After:\n{after}")
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raise
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# @unittest.skip("Only for replicating hypothesis")
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@pytest.mark.parametrize(
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"values, delete_order",
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[
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([4, 2, 5, 0, 3], [5, 0, 4, 2, 3]),
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([1, 2, 3, 4, 5], [5]),
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([0, 1, 2, -15, 17, -2, -1], [17, 2, 1, 0, -2, -15, -1]),
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(
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[
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0,
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1,
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2,
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3,
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4,
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128,
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1536,
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7,
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25223,
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1159,
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16,
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32915,
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148,
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147,
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24,
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26,
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220,
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-1,
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-9,
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-8,
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-6,
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-5,
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-4,
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-3,
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-2,
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],
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[
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24,
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0,
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-3,
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-9,
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1536,
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128,
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7,
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16,
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-4,
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-6,
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4,
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2,
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-5,
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3,
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-1,
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32915,
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-8,
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1159,
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-2,
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26,
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220,
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25223,
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1,
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147,
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148,
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],
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),
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],
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)
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def test_delete_minimal(values, delete_order):
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tree = AVLTree()
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for value in values:
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tree.insert(value)
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for value in delete_order:
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before = str(tree)
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tree.delete(value)
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after = str(tree)
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try:
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assert tree.is_correct
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except AssertionError:
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logger.info(
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f"[FAIL] Delete {value} from {values} in order {delete_order}"
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)
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_report(before, after)
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logger.info(f"Before:\n{before}")
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logger.info(f"After:\n{after}")
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raise
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