287 lines
9.0 KiB
Python
287 lines
9.0 KiB
Python
|
"""Unittests for heapq."""
|
||
|
|
||
|
from heapq import heappush, heappop, heapify, heapreplace, nlargest, nsmallest
|
||
|
import random
|
||
|
import unittest
|
||
|
from test import test_support
|
||
|
import sys
|
||
|
|
||
|
|
||
|
def heapiter(heap):
|
||
|
# An iterator returning a heap's elements, smallest-first.
|
||
|
try:
|
||
|
while 1:
|
||
|
yield heappop(heap)
|
||
|
except IndexError:
|
||
|
pass
|
||
|
|
||
|
class TestHeap(unittest.TestCase):
|
||
|
|
||
|
def test_push_pop(self):
|
||
|
# 1) Push 256 random numbers and pop them off, verifying all's OK.
|
||
|
heap = []
|
||
|
data = []
|
||
|
self.check_invariant(heap)
|
||
|
for i in range(256):
|
||
|
item = random.random()
|
||
|
data.append(item)
|
||
|
heappush(heap, item)
|
||
|
self.check_invariant(heap)
|
||
|
results = []
|
||
|
while heap:
|
||
|
item = heappop(heap)
|
||
|
self.check_invariant(heap)
|
||
|
results.append(item)
|
||
|
data_sorted = data[:]
|
||
|
data_sorted.sort()
|
||
|
self.assertEqual(data_sorted, results)
|
||
|
# 2) Check that the invariant holds for a sorted array
|
||
|
self.check_invariant(results)
|
||
|
|
||
|
self.assertRaises(TypeError, heappush, [])
|
||
|
try:
|
||
|
self.assertRaises(TypeError, heappush, None, None)
|
||
|
self.assertRaises(TypeError, heappop, None)
|
||
|
except AttributeError:
|
||
|
pass
|
||
|
|
||
|
def check_invariant(self, heap):
|
||
|
# Check the heap invariant.
|
||
|
for pos, item in enumerate(heap):
|
||
|
if pos: # pos 0 has no parent
|
||
|
parentpos = (pos-1) >> 1
|
||
|
self.assert_(heap[parentpos] <= item)
|
||
|
|
||
|
def test_heapify(self):
|
||
|
for size in range(30):
|
||
|
heap = [random.random() for dummy in range(size)]
|
||
|
heapify(heap)
|
||
|
self.check_invariant(heap)
|
||
|
|
||
|
self.assertRaises(TypeError, heapify, None)
|
||
|
|
||
|
def test_naive_nbest(self):
|
||
|
data = [random.randrange(2000) for i in range(1000)]
|
||
|
heap = []
|
||
|
for item in data:
|
||
|
heappush(heap, item)
|
||
|
if len(heap) > 10:
|
||
|
heappop(heap)
|
||
|
heap.sort()
|
||
|
self.assertEqual(heap, sorted(data)[-10:])
|
||
|
|
||
|
def test_nbest(self):
|
||
|
# Less-naive "N-best" algorithm, much faster (if len(data) is big
|
||
|
# enough <wink>) than sorting all of data. However, if we had a max
|
||
|
# heap instead of a min heap, it could go faster still via
|
||
|
# heapify'ing all of data (linear time), then doing 10 heappops
|
||
|
# (10 log-time steps).
|
||
|
data = [random.randrange(2000) for i in range(1000)]
|
||
|
heap = data[:10]
|
||
|
heapify(heap)
|
||
|
for item in data[10:]:
|
||
|
if item > heap[0]: # this gets rarer the longer we run
|
||
|
heapreplace(heap, item)
|
||
|
self.assertEqual(list(heapiter(heap)), sorted(data)[-10:])
|
||
|
|
||
|
self.assertRaises(TypeError, heapreplace, None)
|
||
|
self.assertRaises(TypeError, heapreplace, None, None)
|
||
|
self.assertRaises(IndexError, heapreplace, [], None)
|
||
|
|
||
|
def test_heapsort(self):
|
||
|
# Exercise everything with repeated heapsort checks
|
||
|
for trial in xrange(100):
|
||
|
size = random.randrange(50)
|
||
|
data = [random.randrange(25) for i in range(size)]
|
||
|
if trial & 1: # Half of the time, use heapify
|
||
|
heap = data[:]
|
||
|
heapify(heap)
|
||
|
else: # The rest of the time, use heappush
|
||
|
heap = []
|
||
|
for item in data:
|
||
|
heappush(heap, item)
|
||
|
heap_sorted = [heappop(heap) for i in range(size)]
|
||
|
self.assertEqual(heap_sorted, sorted(data))
|
||
|
|
||
|
def test_nsmallest(self):
|
||
|
data = [(random.randrange(2000), i) for i in range(1000)]
|
||
|
for f in (None, lambda x: x[0] * 547 % 2000):
|
||
|
for n in (0, 1, 2, 10, 100, 400, 999, 1000, 1100):
|
||
|
self.assertEqual(nsmallest(n, data), sorted(data)[:n])
|
||
|
self.assertEqual(nsmallest(n, data, key=f),
|
||
|
sorted(data, key=f)[:n])
|
||
|
|
||
|
def test_nlargest(self):
|
||
|
data = [(random.randrange(2000), i) for i in range(1000)]
|
||
|
for f in (None, lambda x: x[0] * 547 % 2000):
|
||
|
for n in (0, 1, 2, 10, 100, 400, 999, 1000, 1100):
|
||
|
self.assertEqual(nlargest(n, data), sorted(data, reverse=True)[:n])
|
||
|
self.assertEqual(nlargest(n, data, key=f),
|
||
|
sorted(data, key=f, reverse=True)[:n])
|
||
|
|
||
|
|
||
|
#==============================================================================
|
||
|
|
||
|
class LenOnly:
|
||
|
"Dummy sequence class defining __len__ but not __getitem__."
|
||
|
def __len__(self):
|
||
|
return 10
|
||
|
|
||
|
class GetOnly:
|
||
|
"Dummy sequence class defining __getitem__ but not __len__."
|
||
|
def __getitem__(self, ndx):
|
||
|
return 10
|
||
|
|
||
|
class CmpErr:
|
||
|
"Dummy element that always raises an error during comparison"
|
||
|
def __cmp__(self, other):
|
||
|
raise ZeroDivisionError
|
||
|
|
||
|
def R(seqn):
|
||
|
'Regular generator'
|
||
|
for i in seqn:
|
||
|
yield i
|
||
|
|
||
|
class G:
|
||
|
'Sequence using __getitem__'
|
||
|
def __init__(self, seqn):
|
||
|
self.seqn = seqn
|
||
|
def __getitem__(self, i):
|
||
|
return self.seqn[i]
|
||
|
|
||
|
class I:
|
||
|
'Sequence using iterator protocol'
|
||
|
def __init__(self, seqn):
|
||
|
self.seqn = seqn
|
||
|
self.i = 0
|
||
|
def __iter__(self):
|
||
|
return self
|
||
|
def next(self):
|
||
|
if self.i >= len(self.seqn): raise StopIteration
|
||
|
v = self.seqn[self.i]
|
||
|
self.i += 1
|
||
|
return v
|
||
|
|
||
|
class Ig:
|
||
|
'Sequence using iterator protocol defined with a generator'
|
||
|
def __init__(self, seqn):
|
||
|
self.seqn = seqn
|
||
|
self.i = 0
|
||
|
def __iter__(self):
|
||
|
for val in self.seqn:
|
||
|
yield val
|
||
|
|
||
|
class X:
|
||
|
'Missing __getitem__ and __iter__'
|
||
|
def __init__(self, seqn):
|
||
|
self.seqn = seqn
|
||
|
self.i = 0
|
||
|
def next(self):
|
||
|
if self.i >= len(self.seqn): raise StopIteration
|
||
|
v = self.seqn[self.i]
|
||
|
self.i += 1
|
||
|
return v
|
||
|
|
||
|
class N:
|
||
|
'Iterator missing next()'
|
||
|
def __init__(self, seqn):
|
||
|
self.seqn = seqn
|
||
|
self.i = 0
|
||
|
def __iter__(self):
|
||
|
return self
|
||
|
|
||
|
class E:
|
||
|
'Test propagation of exceptions'
|
||
|
def __init__(self, seqn):
|
||
|
self.seqn = seqn
|
||
|
self.i = 0
|
||
|
def __iter__(self):
|
||
|
return self
|
||
|
def next(self):
|
||
|
3 // 0
|
||
|
|
||
|
class S:
|
||
|
'Test immediate stop'
|
||
|
def __init__(self, seqn):
|
||
|
pass
|
||
|
def __iter__(self):
|
||
|
return self
|
||
|
def next(self):
|
||
|
raise StopIteration
|
||
|
|
||
|
from itertools import chain, imap
|
||
|
def L(seqn):
|
||
|
'Test multiple tiers of iterators'
|
||
|
return chain(imap(lambda x:x, R(Ig(G(seqn)))))
|
||
|
|
||
|
class TestErrorHandling(unittest.TestCase):
|
||
|
|
||
|
def test_non_sequence(self):
|
||
|
for f in (heapify, heappop):
|
||
|
self.assertRaises(TypeError, f, 10)
|
||
|
for f in (heappush, heapreplace, nlargest, nsmallest):
|
||
|
self.assertRaises(TypeError, f, 10, 10)
|
||
|
|
||
|
def test_len_only(self):
|
||
|
for f in (heapify, heappop):
|
||
|
self.assertRaises(TypeError, f, LenOnly())
|
||
|
for f in (heappush, heapreplace):
|
||
|
self.assertRaises(TypeError, f, LenOnly(), 10)
|
||
|
for f in (nlargest, nsmallest):
|
||
|
self.assertRaises(TypeError, f, 2, LenOnly())
|
||
|
|
||
|
def test_get_only(self):
|
||
|
for f in (heapify, heappop):
|
||
|
self.assertRaises(TypeError, f, GetOnly())
|
||
|
for f in (heappush, heapreplace):
|
||
|
self.assertRaises(TypeError, f, GetOnly(), 10)
|
||
|
for f in (nlargest, nsmallest):
|
||
|
self.assertRaises(TypeError, f, 2, GetOnly())
|
||
|
|
||
|
def test_get_only(self):
|
||
|
seq = [CmpErr(), CmpErr(), CmpErr()]
|
||
|
for f in (heapify, heappop):
|
||
|
self.assertRaises(ZeroDivisionError, f, seq)
|
||
|
for f in (heappush, heapreplace):
|
||
|
self.assertRaises(ZeroDivisionError, f, seq, 10)
|
||
|
for f in (nlargest, nsmallest):
|
||
|
self.assertRaises(ZeroDivisionError, f, 2, seq)
|
||
|
|
||
|
def test_arg_parsing(self):
|
||
|
for f in (heapify, heappop, heappush, heapreplace, nlargest, nsmallest):
|
||
|
self.assertRaises(TypeError, f, 10)
|
||
|
|
||
|
def test_iterable_args(self):
|
||
|
for f in (nlargest, nsmallest):
|
||
|
for s in ("123", "", range(1000), ('do', 1.2), xrange(2000,2200,5)):
|
||
|
for g in (G, I, Ig, L, R):
|
||
|
self.assertEqual(f(2, g(s)), f(2,s))
|
||
|
self.assertEqual(f(2, S(s)), [])
|
||
|
self.assertRaises(TypeError, f, 2, X(s))
|
||
|
self.assertRaises(TypeError, f, 2, N(s))
|
||
|
self.assertRaises(ZeroDivisionError, f, 2, E(s))
|
||
|
|
||
|
#==============================================================================
|
||
|
|
||
|
|
||
|
def test_main(verbose=None):
|
||
|
from types import BuiltinFunctionType
|
||
|
|
||
|
test_classes = [TestHeap]
|
||
|
if isinstance(heapify, BuiltinFunctionType):
|
||
|
test_classes.append(TestErrorHandling)
|
||
|
test_support.run_unittest(*test_classes)
|
||
|
|
||
|
# verify reference counting
|
||
|
if verbose and hasattr(sys, "gettotalrefcount"):
|
||
|
import gc
|
||
|
counts = [None] * 5
|
||
|
for i in xrange(len(counts)):
|
||
|
test_support.run_unittest(*test_classes)
|
||
|
gc.collect()
|
||
|
counts[i] = sys.gettotalrefcount()
|
||
|
print counts
|
||
|
|
||
|
if __name__ == "__main__":
|
||
|
test_main(verbose=True)
|