python-2.5.2/win32/Lib/test/test_heapq.py
changeset 0 ae805ac0140d
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/python-2.5.2/win32/Lib/test/test_heapq.py	Fri Apr 03 17:19:34 2009 +0100
@@ -0,0 +1,286 @@
+"""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)