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v0.8.1
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Tip revision: 74f4bd53e03ded8408bcc2de67cf0f5a4ac5b1a1 authored by Barry Warsaw on 23 February 2012, 15:59:38 UTC
Bump some more copyright years (as per PEP 101), since this is the first
Bump some more copyright years (as per PEP 101), since this is the first
Tip revision: 74f4bd5
test_heapq.py
"""Unittests for heapq."""
import random
import unittest
from test import test_support
import sys
# We do a bit of trickery here to be able to test both the C implementation
# and the Python implementation of the module.
# Make it impossible to import the C implementation anymore.
sys.modules['_heapq'] = 0
# We must also handle the case that heapq was imported before.
if 'heapq' in sys.modules:
del sys.modules['heapq']
# Now we can import the module and get the pure Python implementation.
import heapq as py_heapq
# Restore everything to normal.
del sys.modules['_heapq']
del sys.modules['heapq']
# This is now the module with the C implementation.
import heapq as c_heapq
class TestHeap(unittest.TestCase):
module = None
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)
self.module.heappush(heap, item)
self.check_invariant(heap)
results = []
while heap:
item = self.module.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, self.module.heappush, [])
try:
self.assertRaises(TypeError, self.module.heappush, None, None)
self.assertRaises(TypeError, self.module.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)]
self.module.heapify(heap)
self.check_invariant(heap)
self.assertRaises(TypeError, self.module.heapify, None)
def test_naive_nbest(self):
data = [random.randrange(2000) for i in range(1000)]
heap = []
for item in data:
self.module.heappush(heap, item)
if len(heap) > 10:
self.module.heappop(heap)
heap.sort()
self.assertEqual(heap, sorted(data)[-10:])
def heapiter(self, heap):
# An iterator returning a heap's elements, smallest-first.
try:
while 1:
yield self.module.heappop(heap)
except IndexError:
pass
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]
self.module.heapify(heap)
for item in data[10:]:
if item > heap[0]: # this gets rarer the longer we run
self.module.heapreplace(heap, item)
self.assertEqual(list(self.heapiter(heap)), sorted(data)[-10:])
self.assertRaises(TypeError, self.module.heapreplace, None)
self.assertRaises(TypeError, self.module.heapreplace, None, None)
self.assertRaises(IndexError, self.module.heapreplace, [], None)
def test_nbest_with_pushpop(self):
data = [random.randrange(2000) for i in range(1000)]
heap = data[:10]
self.module.heapify(heap)
for item in data[10:]:
self.module.heappushpop(heap, item)
self.assertEqual(list(self.heapiter(heap)), sorted(data)[-10:])
self.assertEqual(self.module.heappushpop([], 'x'), 'x')
def test_heappushpop(self):
h = []
x = self.module.heappushpop(h, 10)
self.assertEqual((h, x), ([], 10))
h = [10]
x = self.module.heappushpop(h, 10.0)
self.assertEqual((h, x), ([10], 10.0))
self.assertEqual(type(h[0]), int)
self.assertEqual(type(x), float)
h = [10];
x = self.module.heappushpop(h, 9)
self.assertEqual((h, x), ([10], 9))
h = [10];
x = self.module.heappushpop(h, 11)
self.assertEqual((h, x), ([11], 10))
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[:]
self.module.heapify(heap)
else: # The rest of the time, use heappush
heap = []
for item in data:
self.module.heappush(heap, item)
heap_sorted = [self.module.heappop(heap) for i in range(size)]
self.assertEqual(heap_sorted, sorted(data))
def test_merge(self):
inputs = []
for i in xrange(random.randrange(5)):
row = sorted(random.randrange(1000) for j in range(random.randrange(10)))
inputs.append(row)
self.assertEqual(sorted(chain(*inputs)), list(self.module.merge(*inputs)))
self.assertEqual(list(self.module.merge()), [])
def test_merge_stability(self):
class Int(int):
pass
inputs = [[], [], [], []]
for i in range(20000):
stream = random.randrange(4)
x = random.randrange(500)
obj = Int(x)
obj.pair = (x, stream)
inputs[stream].append(obj)
for stream in inputs:
stream.sort()
result = [i.pair for i in self.module.merge(*inputs)]
self.assertEqual(result, sorted(result))
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(self.module.nsmallest(n, data), sorted(data)[:n])
self.assertEqual(self.module.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(self.module.nlargest(n, data),
sorted(data, reverse=True)[:n])
self.assertEqual(self.module.nlargest(n, data, key=f),
sorted(data, key=f, reverse=True)[:n])
class TestHeapPython(TestHeap):
module = py_heapq
class TestHeapC(TestHeap):
module = c_heapq
def test_comparison_operator(self):
# Issue 3501: Make sure heapq works with both __lt__ and __le__
def hsort(data, comp):
data = map(comp, data)
self.module.heapify(data)
return [self.module.heappop(data).x for i in range(len(data))]
class LT:
def __init__(self, x):
self.x = x
def __lt__(self, other):
return self.x > other.x
class LE:
def __init__(self, x):
self.x = x
def __le__(self, other):
return self.x >= other.x
data = [random.random() for i in range(100)]
target = sorted(data, reverse=True)
self.assertEqual(hsort(data, LT), target)
self.assertEqual(hsort(data, LE), target)
#==============================================================================
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):
# only for C implementation
module = c_heapq
def test_non_sequence(self):
for f in (self.module.heapify, self.module.heappop):
self.assertRaises(TypeError, f, 10)
for f in (self.module.heappush, self.module.heapreplace,
self.module.nlargest, self.module.nsmallest):
self.assertRaises(TypeError, f, 10, 10)
def test_len_only(self):
for f in (self.module.heapify, self.module.heappop):
self.assertRaises(TypeError, f, LenOnly())
for f in (self.module.heappush, self.module.heapreplace):
self.assertRaises(TypeError, f, LenOnly(), 10)
for f in (self.module.nlargest, self.module.nsmallest):
self.assertRaises(TypeError, f, 2, LenOnly())
def test_get_only(self):
for f in (self.module.heapify, self.module.heappop):
self.assertRaises(TypeError, f, GetOnly())
for f in (self.module.heappush, self.module.heapreplace):
self.assertRaises(TypeError, f, GetOnly(), 10)
for f in (self.module.nlargest, self.module.nsmallest):
self.assertRaises(TypeError, f, 2, GetOnly())
def test_get_only(self):
seq = [CmpErr(), CmpErr(), CmpErr()]
for f in (self.module.heapify, self.module.heappop):
self.assertRaises(ZeroDivisionError, f, seq)
for f in (self.module.heappush, self.module.heapreplace):
self.assertRaises(ZeroDivisionError, f, seq, 10)
for f in (self.module.nlargest, self.module.nsmallest):
self.assertRaises(ZeroDivisionError, f, 2, seq)
def test_arg_parsing(self):
for f in (self.module.heapify, self.module.heappop,
self.module.heappush, self.module.heapreplace,
self.module.nlargest, self.module.nsmallest):
self.assertRaises(TypeError, f, 10)
def test_iterable_args(self):
for f in (self.module.nlargest, self.module.nsmallest):
for s in ("123", "", range(1000), ('do', 1.2), xrange(2000,2200,5)):
for g in (G, I, Ig, L, R):
with test_support._check_py3k_warnings(
("comparing unequal types not supported",
DeprecationWarning), quiet=True):
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 = [TestHeapPython, TestHeapC, 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)