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			286 lines
		
	
	
	
		
			9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			286 lines
		
	
	
	
		
			9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| """Unittests for heapq."""
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| 
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| from heapq import heappush, heappop, heapify, heapreplace, nlargest, nsmallest
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| import random
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| import unittest
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| from test import test_support
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| import sys
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| 
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| 
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| def heapiter(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 heappop(heap)
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|     except IndexError:
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|         pass
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| 
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| class TestHeap(unittest.TestCase):
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| 
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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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|             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 = 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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| 
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|         self.assertRaises(TypeError, heappush, [])
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|         try:
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|             self.assertRaises(TypeError, heappush, None, None)
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|             self.assertRaises(TypeError, heappop, None)
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|         except AttributeError:
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|             pass
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| 
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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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| 
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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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|             heapify(heap)
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|             self.check_invariant(heap)
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| 
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|         self.assertRaises(TypeError, heapify, None)
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| 
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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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|             heappush(heap, item)
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|             if len(heap) > 10:
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|                 heappop(heap)
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|         heap.sort()
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|         self.assertEqual(heap, sorted(data)[-10:])
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| 
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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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|         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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|                 heapreplace(heap, item)
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|         self.assertEqual(list(heapiter(heap)), sorted(data)[-10:])
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| 
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|         self.assertRaises(TypeError, heapreplace, None)
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|         self.assertRaises(TypeError, heapreplace, None, None)
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|         self.assertRaises(IndexError, heapreplace, [], None)
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| 
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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 xrange(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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|                 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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|                     heappush(heap, item)
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|             heap_sorted = [heappop(heap) for i in range(size)]
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|             self.assertEqual(heap_sorted, sorted(data))
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| 
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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(nsmallest(n, data), sorted(data)[:n])
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|                 self.assertEqual(nsmallest(n, data, key=f),
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|                                  sorted(data, key=f)[:n])
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| 
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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(nlargest(n, data), sorted(data, reverse=True)[:n])
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|                 self.assertEqual(nlargest(n, data, key=f),
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|                                  sorted(data, key=f, reverse=True)[:n])
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| 
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| 
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| #==============================================================================
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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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| 
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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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| 
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| class CmpErr:
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|     "Dummy element that always raises an error during comparison"
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|     def __cmp__(self, other):
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|         raise ZeroDivisionError
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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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| from itertools import chain, imap
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| def L(seqn):
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|     'Test multiple tiers of iterators'
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|     return chain(imap(lambda x:x, R(Ig(G(seqn)))))
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| 
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| class TestErrorHandling(unittest.TestCase):
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| 
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|     def test_non_sequence(self):
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|         for f in (heapify, heappop):
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|             self.assertRaises(TypeError, f, 10)
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|         for f in (heappush, heapreplace, nlargest, nsmallest):
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|             self.assertRaises(TypeError, f, 10, 10)
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| 
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|     def test_len_only(self):
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|         for f in (heapify, heappop):
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|             self.assertRaises(TypeError, f, LenOnly())
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|         for f in (heappush, heapreplace):
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|             self.assertRaises(TypeError, f, LenOnly(), 10)
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|         for f in (nlargest, nsmallest):
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|             self.assertRaises(TypeError, f, 2, LenOnly())
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| 
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|     def test_get_only(self):
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|         for f in (heapify, heappop):
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|             self.assertRaises(TypeError, f, GetOnly())
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|         for f in (heappush, heapreplace):
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|             self.assertRaises(TypeError, f, GetOnly(), 10)
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|         for f in (nlargest, nsmallest):
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|             self.assertRaises(TypeError, f, 2, GetOnly())
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| 
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|     def test_get_only(self):
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|         seq = [CmpErr(), CmpErr(), CmpErr()]
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|         for f in (heapify, heappop):
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|             self.assertRaises(ZeroDivisionError, f, seq)
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|         for f in (heappush, heapreplace):
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|             self.assertRaises(ZeroDivisionError, f, seq, 10)
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|         for f in (nlargest, nsmallest):
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|             self.assertRaises(ZeroDivisionError, f, 2, seq)
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| 
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|     def test_arg_parsing(self):
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|         for f in (heapify, heappop, heappush, heapreplace, nlargest, nsmallest):
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|             self.assertRaises(TypeError, f, 10)
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| 
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|     def test_iterable_args(self):
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|         for f in  (nlargest, nsmallest):
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|             for s in ("123", "", range(1000), ('do', 1.2), xrange(2000,2200,5)):
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|                 for g in (G, I, Ig, L, R):
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|                     self.assertEqual(f(2, g(s)), f(2,s))
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|                 self.assertEqual(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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| #==============================================================================
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| 
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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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| 
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|     test_classes = [TestHeap]
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|     if isinstance(heapify, BuiltinFunctionType):
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|         test_classes.append(TestErrorHandling)
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|     test_support.run_unittest(*test_classes)
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| 
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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 xrange(len(counts)):
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|             test_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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| 
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| if __name__ == "__main__":
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|     test_main(verbose=True)
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