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"""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
__eq__ = __ne__ = __lt__ = __le__ = __gt__ = __ge__ = __cmp__
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), (1, 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)
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