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255 changes: 255 additions & 0 deletions Lib/test/test_free_threading/test_heapq.py
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import unittest

import heapq
import operator

from enum import Enum
from threading import Thread, Barrier
from random import shuffle, randint

from test.support import threading_helper


NTHREADS = 10
OBJECT_COUNT = 5_000


class Heap(Enum):
MIN = 1
MAX = 2


@threading_helper.requires_working_threading()
class TestHeapq(unittest.TestCase):
def test_racing_heapify(self):
heap = list(range(OBJECT_COUNT))
shuffle(heap)

self.run_concurrently(
worker_func=heapq.heapify, args=(heap,), nthreads=NTHREADS
)
self.assertTrue(self.is_heap_property_satisfied(heap, Heap.MIN))

def test_racing_heappush(self):
heap = []

def heappush_func(heap):
for item in reversed(range(OBJECT_COUNT)):
heapq.heappush(heap, item)

self.run_concurrently(
worker_func=heappush_func, args=(heap,), nthreads=NTHREADS
)
self.assertTrue(self.is_heap_property_satisfied(heap, Heap.MIN))

def test_racing_heappop(self):
heap = self.create_heap(OBJECT_COUNT, Heap.MIN)

# Each thread pops (OBJECT_COUNT / NTHREADS) items
self.assertEqual(OBJECT_COUNT % NTHREADS, 0)
per_thread_pop_count = OBJECT_COUNT // NTHREADS

def heappop_func(heap, pop_count):
local_list = []
for _ in range(pop_count):
item = heapq.heappop(heap)
local_list.append(item)

# Each local list should be sorted
self.assertTrue(self.is_sorted_ascending(local_list))

self.run_concurrently(
worker_func=heappop_func,
args=(heap, per_thread_pop_count),
nthreads=NTHREADS,
)
self.assertEqual(len(heap), 0)

def test_racing_heappushpop(self):
heap = self.create_heap(OBJECT_COUNT, Heap.MIN)
pushpop_items = self.create_random_list(-5_000, 10_000, OBJECT_COUNT)

def heappushpop_func(heap, pushpop_items):
for item in pushpop_items:
popped_item = heapq.heappushpop(heap, item)
self.assertTrue(popped_item <= item)

self.run_concurrently(
worker_func=heappushpop_func,
args=(heap, pushpop_items),
nthreads=NTHREADS,
)
self.assertEqual(len(heap), OBJECT_COUNT)
self.assertTrue(self.is_heap_property_satisfied(heap, Heap.MIN))

def test_racing_heapreplace(self):
heap = self.create_heap(OBJECT_COUNT, Heap.MIN)
replace_items = self.create_random_list(-5_000, 10_000, OBJECT_COUNT)

def heapreplace_func(heap, replace_items):
for item in replace_items:
popped_item = heapq.heapreplace(heap, item)

self.run_concurrently(
worker_func=heapreplace_func,
args=(heap, replace_items),
nthreads=NTHREADS,
)
self.assertEqual(len(heap), OBJECT_COUNT)
self.assertTrue(self.is_heap_property_satisfied(heap, Heap.MIN))

def test_racing_heapify_max(self):
max_heap = list(range(OBJECT_COUNT))
shuffle(max_heap)

self.run_concurrently(
worker_func=heapq.heapify_max, args=(max_heap,), nthreads=NTHREADS
)
self.assertTrue(self.is_heap_property_satisfied(max_heap, Heap.MAX))

def test_racing_heappush_max(self):
max_heap = []

def heappush_max_func(max_heap):
for item in range(OBJECT_COUNT):
heapq.heappush_max(max_heap, item)

self.run_concurrently(
worker_func=heappush_max_func, args=(max_heap,), nthreads=NTHREADS
)
self.assertTrue(self.is_heap_property_satisfied(max_heap, Heap.MAX))

def test_racing_heappop_max(self):
max_heap = self.create_heap(OBJECT_COUNT, Heap.MAX)

# Each thread pops (OBJECT_COUNT / NTHREADS) items
self.assertEqual(OBJECT_COUNT % NTHREADS, 0)
per_thread_pop_count = OBJECT_COUNT // NTHREADS

def heappop_max_func(max_heap, pop_count):
local_list = []
for _ in range(pop_count):
item = heapq.heappop_max(max_heap)
local_list.append(item)

# Each local list should be sorted
self.assertTrue(self.is_sorted_descending(local_list))

self.run_concurrently(
worker_func=heappop_max_func,
args=(max_heap, per_thread_pop_count),
nthreads=NTHREADS,
)
self.assertEqual(len(max_heap), 0)

def test_racing_heappushpop_max(self):
max_heap = self.create_heap(OBJECT_COUNT, Heap.MAX)
pushpop_items = self.create_random_list(-5_000, 10_000, OBJECT_COUNT)

def heappushpop_max_func(max_heap, pushpop_items):
for item in pushpop_items:
popped_item = heapq.heappushpop_max(max_heap, item)
self.assertTrue(popped_item >= item)

self.run_concurrently(
worker_func=heappushpop_max_func,
args=(max_heap, pushpop_items),
nthreads=NTHREADS,
)
self.assertEqual(len(max_heap), OBJECT_COUNT)
self.assertTrue(self.is_heap_property_satisfied(max_heap, Heap.MAX))

def test_racing_heapreplace_max(self):
max_heap = self.create_heap(OBJECT_COUNT, Heap.MAX)
replace_items = self.create_random_list(-5_000, 10_000, OBJECT_COUNT)

def heapreplace_max_func(max_heap, replace_items):
for item in replace_items:
popped_item = heapq.heapreplace_max(max_heap, item)

self.run_concurrently(
worker_func=heapreplace_max_func,
args=(max_heap, replace_items),
nthreads=NTHREADS,
)
self.assertEqual(len(max_heap), OBJECT_COUNT)
self.assertTrue(self.is_heap_property_satisfied(max_heap, Heap.MAX))

@staticmethod
def is_heap_property_satisfied(heap, heap_kind):
"""
Check if the heap property is satisfied.
MIN-Heap: The value of a parent node should be less than or equal to the
values of its children.
MAX-Heap: The value of a parent node should be greater than or equal to the
values of its children.
"""
op = operator.le if heap_kind == Heap.MIN else operator.ge
# position 0 has no parent
for pos in range(1, len(heap)):
parent_pos = (pos - 1) >> 1
if not op(heap[parent_pos], heap[pos]):
return False

return True

@staticmethod
def is_sorted_ascending(lst):
"""
Check if the list is sorted in ascending order (non-decreasing).
"""
return all(lst[i - 1] <= lst[i] for i in range(1, len(lst)))

@staticmethod
def is_sorted_descending(lst):
"""
Check if the list is sorted in descending order (non-increasing).
"""
return all(lst[i - 1] >= lst[i] for i in range(1, len(lst)))

@staticmethod
def create_heap(size, heap_kind):
"""
Create a min/max heap where elements are in the range (0, size - 1) and
shuffled before heapify.
"""
heap = list(range(OBJECT_COUNT))
shuffle(heap)
if heap_kind == Heap.MIN:
heapq.heapify(heap)
else:
heapq.heapify_max(heap)

return heap

@staticmethod
def create_random_list(a, b, size):
"""
Create a list of random numbers between a and b (inclusive).
"""
return [randint(-a, b) for _ in range(size)]

def run_concurrently(self, worker_func, args, nthreads) -> None:
"""
Run the worker function concurrently in multiple threads.
"""
barrier = Barrier(nthreads)

def wrapper_func(*args):
# Wait for all threadss to reach this point before proceeding.
barrier.wait()
worker_func(*args)

with threading_helper.catch_threading_exception() as cm:
workers = (
Thread(target=wrapper_func, args=args) for _ in range(nthreads)
)
with threading_helper.start_threads(workers):
pass

# Worker threads should not raise any exceptions
self.assertIsNone(cm.exc_value)


if __name__ == "__main__":
unittest.main()
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Make methods in :mod:`heapq` thread-safe on the :term:`free threaded <free threading>` build.
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