python/test_wavl.py

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from wavl import WAVLTree
import hypothesis
import hypothesis.strategies as st
import logging
import pytest
import random
logger = logging.getLogger(__name__)
def test_empty():
tree = WAVLTree()
assert tree.root is None
assert tree.is_correct
def test_one_node():
tree = WAVLTree()
tree.insert(1)
assert tree.root is not None
assert 1 == tree.root.value
assert 0 == tree.root.rank
assert tree.root.left is None
assert tree.root.right is None
assert tree.is_correct
@pytest.mark.parametrize("values", [[1, 2], [1, 2, 0]])
def test_no_rebalance_needed(values):
tree = WAVLTree()
for value in values:
tree.insert(value)
assert tree.is_correct
def test_three_nodes_rebalanced():
tree = WAVLTree()
for value in (1, 2, 3):
print(tree)
tree.insert(value)
assert tree.is_correct
def test_bigger_tree():
tree = WAVLTree()
for i in range(50):
tree.insert(i)
assert tree.is_correct
def test_bigger_tree_reversed():
tree = WAVLTree()
for i in range(50):
tree.insert(-i)
assert tree.is_correct
def test_promote():
tree = WAVLTree()
for value in (0, 1, -1):
tree.insert(value)
assert tree.is_correct
@pytest.mark.parametrize(
"values",
[
[0, 1, -2, -1, -3],
[0, 1, -2, -1, -3, -4, 4, 9, 7],
[0, 1, -2, -1, -3, -4, 4, 9, 7, 5, -5, 8],
],
)
def test_rotate(values):
tree = WAVLTree()
for value in values:
tree.insert(value)
assert tree.is_correct
@hypothesis.settings(max_examples=1000, deadline=None)
@hypothesis.given(values=st.sets(st.integers()))
def test_insert_random(values):
tree = WAVLTree()
for value in values:
tree.insert(value)
assert tree.is_correct
assert tree.search(value) is not None
def test_search_empty():
tree = WAVLTree()
assert tree.search(0) is None
@hypothesis.given(values=st.sets(st.integers()))
def test_search_random(values):
tree = WAVLTree()
for value in values:
tree.insert(value)
assert tree.is_correct
for value in values:
assert tree.search(value) is not None
@st.composite
def delete_strategy(draw):
values = list(draw(st.sets(st.integers())))
delete_order = values.copy()
random.shuffle(delete_order)
return (values, delete_order)
@hypothesis.settings(max_examples=10000, deadline=None)
@hypothesis.given(config=delete_strategy())
def test_delete_random(config):
values, delete_order = config
tree = WAVLTree()
for value in values:
tree.insert(value)
for value in delete_order:
before = str(tree)
tree.delete(value)
after = str(tree)
try:
assert tree.is_correct
except AssertionError:
logger.info(
f"[FAIL] Delete {value} from {values} in order {delete_order}"
)
logger.info(f"Before:\n{before}")
logger.info(f"After:\n{after}")
raise
# @unittest.skip("Only for replicating hypothesis")
@pytest.mark.parametrize(
"values, delete_order",
[
([0, 1, 2], [0, 2, 1]),
([0, 1, 2, -1], [2, 0, 1, -1]),
([0, 1, -1], [0, -1, 1]),
([0, 1], [0, 1]),
([0, 1, 32, -1], [32, 0, 1, -1]),
],
)
def test_delete_minimal(values, delete_order):
tree = WAVLTree()
for value in values:
tree.insert(value)
for value in delete_order:
before = str(tree)
tree.delete(value)
after = str(tree)
try:
assert tree.is_correct
except AssertionError:
logger.info(
f"[FAIL] Delete {value} from {values} in order {delete_order}"
)
logger.info(f"Before:\n{before}")
logger.info(f"After:\n{after}")
raise