183 lines
3.8 KiB
Python
183 lines
3.8 KiB
Python
from wavl import WAVLTree
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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():
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tree = WAVLTree()
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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():
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tree = WAVLTree()
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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 = WAVLTree()
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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 = WAVLTree()
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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 = WAVLTree()
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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 = WAVLTree()
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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 = WAVLTree()
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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 = WAVLTree()
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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 = WAVLTree()
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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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def test_search_empty():
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tree = WAVLTree()
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assert tree.search(0) is None
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@hypothesis.given(values=st.sets(st.integers()))
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def test_search_random(values):
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tree = WAVLTree()
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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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for value in values:
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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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@hypothesis.settings(max_examples=10000, 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 = WAVLTree()
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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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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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([0, 1, 2], [0, 2, 1]),
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([0, 1, 2, -1], [2, 0, 1, -1]),
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([0, 1, -1], [0, -1, 1]),
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([0, 1], [0, 1]),
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([0, 1, 32, -1], [32, 0, 1, -1]),
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],
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)
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def test_delete_minimal(values, delete_order):
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tree = WAVLTree()
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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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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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