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svn+ssh://pythondev@svn.python.org/python/trunk ........ r71465 | nick.coghlan | 2009-04-11 23:31:31 +1000 (Sat, 11 Apr 2009) | 1 line Issue 5354: Provide a standardised testing mechanism for doing fresh imports of modules, including the ability to block extension modules in order to test the pure Python fallbacks ........
389 lines
13 KiB
Python
389 lines
13 KiB
Python
"""Unittests for heapq."""
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import random
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import unittest
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from test import support
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import sys
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# We do a bit of trickery here to be able to test both the C implementation
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# and the Python implementation of the module.
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import heapq as c_heapq
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py_heapq = support.import_fresh_module('heapq', ['_heapq'])
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class TestHeap(unittest.TestCase):
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module = None
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def test_push_pop(self):
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# 1) Push 256 random numbers and pop them off, verifying all's OK.
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heap = []
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data = []
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self.check_invariant(heap)
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for i in range(256):
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item = random.random()
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data.append(item)
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self.module.heappush(heap, item)
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self.check_invariant(heap)
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results = []
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while heap:
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item = self.module.heappop(heap)
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self.check_invariant(heap)
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results.append(item)
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data_sorted = data[:]
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data_sorted.sort()
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self.assertEqual(data_sorted, results)
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# 2) Check that the invariant holds for a sorted array
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self.check_invariant(results)
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self.assertRaises(TypeError, self.module.heappush, [])
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try:
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self.assertRaises(TypeError, self.module.heappush, None, None)
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self.assertRaises(TypeError, self.module.heappop, None)
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except AttributeError:
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pass
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def check_invariant(self, heap):
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# Check the heap invariant.
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for pos, item in enumerate(heap):
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if pos: # pos 0 has no parent
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parentpos = (pos-1) >> 1
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self.assert_(heap[parentpos] <= item)
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def test_heapify(self):
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for size in range(30):
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heap = [random.random() for dummy in range(size)]
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self.module.heapify(heap)
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self.check_invariant(heap)
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self.assertRaises(TypeError, self.module.heapify, None)
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def test_naive_nbest(self):
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data = [random.randrange(2000) for i in range(1000)]
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heap = []
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for item in data:
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self.module.heappush(heap, item)
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if len(heap) > 10:
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self.module.heappop(heap)
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heap.sort()
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self.assertEqual(heap, sorted(data)[-10:])
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def heapiter(self, heap):
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# An iterator returning a heap's elements, smallest-first.
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try:
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while 1:
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yield self.module.heappop(heap)
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except IndexError:
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pass
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def test_nbest(self):
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# Less-naive "N-best" algorithm, much faster (if len(data) is big
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# enough <wink>) than sorting all of data. However, if we had a max
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# heap instead of a min heap, it could go faster still via
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# heapify'ing all of data (linear time), then doing 10 heappops
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# (10 log-time steps).
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data = [random.randrange(2000) for i in range(1000)]
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heap = data[:10]
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self.module.heapify(heap)
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for item in data[10:]:
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if item > heap[0]: # this gets rarer the longer we run
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self.module.heapreplace(heap, item)
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self.assertEqual(list(self.heapiter(heap)), sorted(data)[-10:])
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self.assertRaises(TypeError, self.module.heapreplace, None)
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self.assertRaises(TypeError, self.module.heapreplace, None, None)
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self.assertRaises(IndexError, self.module.heapreplace, [], None)
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def test_nbest_with_pushpop(self):
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data = [random.randrange(2000) for i in range(1000)]
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heap = data[:10]
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self.module.heapify(heap)
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for item in data[10:]:
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self.module.heappushpop(heap, item)
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self.assertEqual(list(self.heapiter(heap)), sorted(data)[-10:])
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self.assertEqual(self.module.heappushpop([], 'x'), 'x')
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def test_heappushpop(self):
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h = []
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x = self.module.heappushpop(h, 10)
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self.assertEqual((h, x), ([], 10))
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h = [10]
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x = self.module.heappushpop(h, 10.0)
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self.assertEqual((h, x), ([10], 10.0))
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self.assertEqual(type(h[0]), int)
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self.assertEqual(type(x), float)
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h = [10];
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x = self.module.heappushpop(h, 9)
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self.assertEqual((h, x), ([10], 9))
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h = [10];
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x = self.module.heappushpop(h, 11)
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self.assertEqual((h, x), ([11], 10))
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def test_heapsort(self):
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# Exercise everything with repeated heapsort checks
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for trial in range(100):
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size = random.randrange(50)
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data = [random.randrange(25) for i in range(size)]
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if trial & 1: # Half of the time, use heapify
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heap = data[:]
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self.module.heapify(heap)
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else: # The rest of the time, use heappush
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heap = []
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for item in data:
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self.module.heappush(heap, item)
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heap_sorted = [self.module.heappop(heap) for i in range(size)]
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self.assertEqual(heap_sorted, sorted(data))
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def test_merge(self):
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inputs = []
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for i in range(random.randrange(5)):
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row = sorted(random.randrange(1000) for j in range(random.randrange(10)))
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inputs.append(row)
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self.assertEqual(sorted(chain(*inputs)), list(self.module.merge(*inputs)))
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self.assertEqual(list(self.module.merge()), [])
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def test_merge_stability(self):
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class Int(int):
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pass
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inputs = [[], [], [], []]
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for i in range(20000):
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stream = random.randrange(4)
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x = random.randrange(500)
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obj = Int(x)
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obj.pair = (x, stream)
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inputs[stream].append(obj)
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for stream in inputs:
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stream.sort()
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result = [i.pair for i in self.module.merge(*inputs)]
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self.assertEqual(result, sorted(result))
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def test_nsmallest(self):
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data = [(random.randrange(2000), i) for i in range(1000)]
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for f in (None, lambda x: x[0] * 547 % 2000):
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for n in (0, 1, 2, 10, 100, 400, 999, 1000, 1100):
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self.assertEqual(list(self.module.nsmallest(n, data)),
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sorted(data)[:n])
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self.assertEqual(list(self.module.nsmallest(n, data, key=f)),
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sorted(data, key=f)[:n])
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def test_nlargest(self):
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data = [(random.randrange(2000), i) for i in range(1000)]
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for f in (None, lambda x: x[0] * 547 % 2000):
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for n in (0, 1, 2, 10, 100, 400, 999, 1000, 1100):
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self.assertEqual(list(self.module.nlargest(n, data)),
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sorted(data, reverse=True)[:n])
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self.assertEqual(list(self.module.nlargest(n, data, key=f)),
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sorted(data, key=f, reverse=True)[:n])
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class TestHeapPython(TestHeap):
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module = py_heapq
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# As an early adopter, we sanity check the
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# test.support.import_fresh_module utility function
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def test_pure_python(self):
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self.assertFalse(sys.modules['heapq'] is self.module)
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self.assertTrue(hasattr(self.module.heapify, '__code__'))
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class TestHeapC(TestHeap):
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module = c_heapq
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def test_comparison_operator(self):
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# Issue 3501: Make sure heapq works with both __lt__
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# For python 3.0, __le__ alone is not enough
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def hsort(data, comp):
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data = [comp(x) for x in data]
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self.module.heapify(data)
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return [self.module.heappop(data).x for i in range(len(data))]
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class LT:
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def __init__(self, x):
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self.x = x
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def __lt__(self, other):
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return self.x > other.x
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class LE:
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def __init__(self, x):
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self.x = x
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def __le__(self, other):
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return self.x >= other.x
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data = [random.random() for i in range(100)]
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target = sorted(data, reverse=True)
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self.assertEqual(hsort(data, LT), target)
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self.assertRaises(TypeError, data, LE)
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# As an early adopter, we sanity check the
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# test.support.import_fresh_module utility function
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def test_accelerated(self):
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self.assertTrue(sys.modules['heapq'] is self.module)
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self.assertFalse(hasattr(self.module.heapify, '__code__'))
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#==============================================================================
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class LenOnly:
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"Dummy sequence class defining __len__ but not __getitem__."
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def __len__(self):
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return 10
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class GetOnly:
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"Dummy sequence class defining __getitem__ but not __len__."
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def __getitem__(self, ndx):
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return 10
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class CmpErr:
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"Dummy element that always raises an error during comparison"
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def __eq__(self, other):
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raise ZeroDivisionError
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__ne__ = __lt__ = __le__ = __gt__ = __ge__ = __eq__
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def R(seqn):
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'Regular generator'
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for i in seqn:
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yield i
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class G:
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'Sequence using __getitem__'
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def __init__(self, seqn):
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self.seqn = seqn
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def __getitem__(self, i):
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return self.seqn[i]
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class I:
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'Sequence using iterator protocol'
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def __init__(self, seqn):
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self.seqn = seqn
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self.i = 0
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def __iter__(self):
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return self
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def __next__(self):
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if self.i >= len(self.seqn): raise StopIteration
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v = self.seqn[self.i]
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self.i += 1
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return v
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class Ig:
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'Sequence using iterator protocol defined with a generator'
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def __init__(self, seqn):
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self.seqn = seqn
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self.i = 0
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def __iter__(self):
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for val in self.seqn:
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yield val
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class X:
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'Missing __getitem__ and __iter__'
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def __init__(self, seqn):
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self.seqn = seqn
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self.i = 0
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def __next__(self):
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if self.i >= len(self.seqn): raise StopIteration
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v = self.seqn[self.i]
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self.i += 1
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return v
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class N:
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'Iterator missing __next__()'
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def __init__(self, seqn):
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self.seqn = seqn
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self.i = 0
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def __iter__(self):
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return self
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class E:
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'Test propagation of exceptions'
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def __init__(self, seqn):
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self.seqn = seqn
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self.i = 0
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def __iter__(self):
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return self
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def __next__(self):
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3 // 0
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class S:
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'Test immediate stop'
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def __init__(self, seqn):
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pass
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def __iter__(self):
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return self
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def __next__(self):
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raise StopIteration
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from itertools import chain
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def L(seqn):
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'Test multiple tiers of iterators'
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return chain(map(lambda x:x, R(Ig(G(seqn)))))
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class TestErrorHandling(unittest.TestCase):
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# only for C implementation
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module = c_heapq
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def test_non_sequence(self):
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for f in (self.module.heapify, self.module.heappop):
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self.assertRaises(TypeError, f, 10)
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for f in (self.module.heappush, self.module.heapreplace,
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self.module.nlargest, self.module.nsmallest):
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self.assertRaises(TypeError, f, 10, 10)
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def test_len_only(self):
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for f in (self.module.heapify, self.module.heappop):
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self.assertRaises(TypeError, f, LenOnly())
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for f in (self.module.heappush, self.module.heapreplace):
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self.assertRaises(TypeError, f, LenOnly(), 10)
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for f in (self.module.nlargest, self.module.nsmallest):
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self.assertRaises(TypeError, f, 2, LenOnly())
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def test_get_only(self):
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for f in (self.module.heapify, self.module.heappop):
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self.assertRaises(TypeError, f, GetOnly())
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for f in (self.module.heappush, self.module.heapreplace):
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self.assertRaises(TypeError, f, GetOnly(), 10)
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for f in (self.module.nlargest, self.module.nsmallest):
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self.assertRaises(TypeError, f, 2, GetOnly())
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def test_get_only(self):
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seq = [CmpErr(), CmpErr(), CmpErr()]
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for f in (self.module.heapify, self.module.heappop):
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self.assertRaises(ZeroDivisionError, f, seq)
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for f in (self.module.heappush, self.module.heapreplace):
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self.assertRaises(ZeroDivisionError, f, seq, 10)
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for f in (self.module.nlargest, self.module.nsmallest):
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self.assertRaises(ZeroDivisionError, f, 2, seq)
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def test_arg_parsing(self):
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for f in (self.module.heapify, self.module.heappop,
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self.module.heappush, self.module.heapreplace,
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self.module.nlargest, self.module.nsmallest):
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self.assertRaises(TypeError, f, 10)
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def test_iterable_args(self):
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for f in (self.module.nlargest, self.module.nsmallest):
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for s in ("123", "", range(1000), (1, 1.2), range(2000,2200,5)):
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for g in (G, I, Ig, L, R):
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self.assertEqual(list(f(2, g(s))), list(f(2,s)))
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self.assertEqual(list(f(2, S(s))), [])
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self.assertRaises(TypeError, f, 2, X(s))
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self.assertRaises(TypeError, f, 2, N(s))
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self.assertRaises(ZeroDivisionError, f, 2, E(s))
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#==============================================================================
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def test_main(verbose=None):
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from types import BuiltinFunctionType
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test_classes = [TestHeapPython, TestHeapC, TestErrorHandling]
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support.run_unittest(*test_classes)
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# verify reference counting
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if verbose and hasattr(sys, "gettotalrefcount"):
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import gc
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counts = [None] * 5
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for i in range(len(counts)):
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support.run_unittest(*test_classes)
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gc.collect()
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counts[i] = sys.gettotalrefcount()
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print(counts)
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if __name__ == "__main__":
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test_main(verbose=True)
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