1from test import support 2import random 3import unittest 4from functools import cmp_to_key 5 6verbose = support.verbose 7nerrors = 0 8 9 10def check(tag, expected, raw, compare=None): 11 global nerrors 12 13 if verbose: 14 print(" checking", tag) 15 16 orig = raw[:] # save input in case of error 17 if compare: 18 raw.sort(key=cmp_to_key(compare)) 19 else: 20 raw.sort() 21 22 if len(expected) != len(raw): 23 print("error in", tag) 24 print("length mismatch;", len(expected), len(raw)) 25 print(expected) 26 print(orig) 27 print(raw) 28 nerrors += 1 29 return 30 31 for i, good in enumerate(expected): 32 maybe = raw[i] 33 if good is not maybe: 34 print("error in", tag) 35 print("out of order at index", i, good, maybe) 36 print(expected) 37 print(orig) 38 print(raw) 39 nerrors += 1 40 return 41 42class TestBase(unittest.TestCase): 43 def testStressfully(self): 44 # Try a variety of sizes at and around powers of 2, and at powers of 10. 45 sizes = [0] 46 for power in range(1, 10): 47 n = 2 ** power 48 sizes.extend(range(n-1, n+2)) 49 sizes.extend([10, 100, 1000]) 50 51 class Complains(object): 52 maybe_complain = True 53 54 def __init__(self, i): 55 self.i = i 56 57 def __lt__(self, other): 58 if Complains.maybe_complain and random.random() < 0.001: 59 if verbose: 60 print(" complaining at", self, other) 61 raise RuntimeError 62 return self.i < other.i 63 64 def __repr__(self): 65 return "Complains(%d)" % self.i 66 67 class Stable(object): 68 def __init__(self, key, i): 69 self.key = key 70 self.index = i 71 72 def __lt__(self, other): 73 return self.key < other.key 74 75 def __repr__(self): 76 return "Stable(%d, %d)" % (self.key, self.index) 77 78 for n in sizes: 79 x = list(range(n)) 80 if verbose: 81 print("Testing size", n) 82 83 s = x[:] 84 check("identity", x, s) 85 86 s = x[:] 87 s.reverse() 88 check("reversed", x, s) 89 90 s = x[:] 91 random.shuffle(s) 92 check("random permutation", x, s) 93 94 y = x[:] 95 y.reverse() 96 s = x[:] 97 check("reversed via function", y, s, lambda a, b: (b>a)-(b<a)) 98 99 if verbose: 100 print(" Checking against an insane comparison function.") 101 print(" If the implementation isn't careful, this may segfault.") 102 s = x[:] 103 s.sort(key=cmp_to_key(lambda a, b: int(random.random() * 3) - 1)) 104 check("an insane function left some permutation", x, s) 105 106 if len(x) >= 2: 107 def bad_key(x): 108 raise RuntimeError 109 s = x[:] 110 self.assertRaises(RuntimeError, s.sort, key=bad_key) 111 112 x = [Complains(i) for i in x] 113 s = x[:] 114 random.shuffle(s) 115 Complains.maybe_complain = True 116 it_complained = False 117 try: 118 s.sort() 119 except RuntimeError: 120 it_complained = True 121 if it_complained: 122 Complains.maybe_complain = False 123 check("exception during sort left some permutation", x, s) 124 125 s = [Stable(random.randrange(10), i) for i in range(n)] 126 augmented = [(e, e.index) for e in s] 127 augmented.sort() # forced stable because ties broken by index 128 x = [e for e, i in augmented] # a stable sort of s 129 check("stability", x, s) 130 131#============================================================================== 132 133class TestBugs(unittest.TestCase): 134 135 def test_bug453523(self): 136 # bug 453523 -- list.sort() crasher. 137 # If this fails, the most likely outcome is a core dump. 138 # Mutations during a list sort should raise a ValueError. 139 140 class C: 141 def __lt__(self, other): 142 if L and random.random() < 0.75: 143 L.pop() 144 else: 145 L.append(3) 146 return random.random() < 0.5 147 148 L = [C() for i in range(50)] 149 self.assertRaises(ValueError, L.sort) 150 151 def test_undetected_mutation(self): 152 # Python 2.4a1 did not always detect mutation 153 memorywaster = [] 154 for i in range(20): 155 def mutating_cmp(x, y): 156 L.append(3) 157 L.pop() 158 return (x > y) - (x < y) 159 L = [1,2] 160 self.assertRaises(ValueError, L.sort, key=cmp_to_key(mutating_cmp)) 161 def mutating_cmp(x, y): 162 L.append(3) 163 del L[:] 164 return (x > y) - (x < y) 165 self.assertRaises(ValueError, L.sort, key=cmp_to_key(mutating_cmp)) 166 memorywaster = [memorywaster] 167 168#============================================================================== 169 170class TestDecorateSortUndecorate(unittest.TestCase): 171 172 def test_decorated(self): 173 data = 'The quick Brown fox Jumped over The lazy Dog'.split() 174 copy = data[:] 175 random.shuffle(data) 176 data.sort(key=str.lower) 177 def my_cmp(x, y): 178 xlower, ylower = x.lower(), y.lower() 179 return (xlower > ylower) - (xlower < ylower) 180 copy.sort(key=cmp_to_key(my_cmp)) 181 182 def test_baddecorator(self): 183 data = 'The quick Brown fox Jumped over The lazy Dog'.split() 184 self.assertRaises(TypeError, data.sort, key=lambda x,y: 0) 185 186 def test_stability(self): 187 data = [(random.randrange(100), i) for i in range(200)] 188 copy = data[:] 189 data.sort(key=lambda t: t[0]) # sort on the random first field 190 copy.sort() # sort using both fields 191 self.assertEqual(data, copy) # should get the same result 192 193 def test_key_with_exception(self): 194 # Verify that the wrapper has been removed 195 data = list(range(-2, 2)) 196 dup = data[:] 197 self.assertRaises(ZeroDivisionError, data.sort, key=lambda x: 1/x) 198 self.assertEqual(data, dup) 199 200 def test_key_with_mutation(self): 201 data = list(range(10)) 202 def k(x): 203 del data[:] 204 data[:] = range(20) 205 return x 206 self.assertRaises(ValueError, data.sort, key=k) 207 208 def test_key_with_mutating_del(self): 209 data = list(range(10)) 210 class SortKiller(object): 211 def __init__(self, x): 212 pass 213 def __del__(self): 214 del data[:] 215 data[:] = range(20) 216 def __lt__(self, other): 217 return id(self) < id(other) 218 self.assertRaises(ValueError, data.sort, key=SortKiller) 219 220 def test_key_with_mutating_del_and_exception(self): 221 data = list(range(10)) 222 ## dup = data[:] 223 class SortKiller(object): 224 def __init__(self, x): 225 if x > 2: 226 raise RuntimeError 227 def __del__(self): 228 del data[:] 229 data[:] = list(range(20)) 230 self.assertRaises(RuntimeError, data.sort, key=SortKiller) 231 ## major honking subtlety: we *can't* do: 232 ## 233 ## self.assertEqual(data, dup) 234 ## 235 ## because there is a reference to a SortKiller in the 236 ## traceback and by the time it dies we're outside the call to 237 ## .sort() and so the list protection gimmicks are out of 238 ## date (this cost some brain cells to figure out...). 239 240 def test_reverse(self): 241 data = list(range(100)) 242 random.shuffle(data) 243 data.sort(reverse=True) 244 self.assertEqual(data, list(range(99,-1,-1))) 245 246 def test_reverse_stability(self): 247 data = [(random.randrange(100), i) for i in range(200)] 248 copy1 = data[:] 249 copy2 = data[:] 250 def my_cmp(x, y): 251 x0, y0 = x[0], y[0] 252 return (x0 > y0) - (x0 < y0) 253 def my_cmp_reversed(x, y): 254 x0, y0 = x[0], y[0] 255 return (y0 > x0) - (y0 < x0) 256 data.sort(key=cmp_to_key(my_cmp), reverse=True) 257 copy1.sort(key=cmp_to_key(my_cmp_reversed)) 258 self.assertEqual(data, copy1) 259 copy2.sort(key=lambda x: x[0], reverse=True) 260 self.assertEqual(data, copy2) 261 262#============================================================================== 263def check_against_PyObject_RichCompareBool(self, L): 264 ## The idea here is to exploit the fact that unsafe_tuple_compare uses 265 ## PyObject_RichCompareBool for the second elements of tuples. So we have, 266 ## for (most) L, sorted(L) == [y[1] for y in sorted([(0,x) for x in L])] 267 ## This will work as long as __eq__ => not __lt__ for all the objects in L, 268 ## which holds for all the types used below. 269 ## 270 ## Testing this way ensures that the optimized implementation remains consistent 271 ## with the naive implementation, even if changes are made to any of the 272 ## richcompares. 273 ## 274 ## This function tests sorting for three lists (it randomly shuffles each one): 275 ## 1. L 276 ## 2. [(x,) for x in L] 277 ## 3. [((x,),) for x in L] 278 279 random.seed(0) 280 random.shuffle(L) 281 L_1 = L[:] 282 L_2 = [(x,) for x in L] 283 L_3 = [((x,),) for x in L] 284 for L in [L_1, L_2, L_3]: 285 optimized = sorted(L) 286 reference = [y[1] for y in sorted([(0,x) for x in L])] 287 for (opt, ref) in zip(optimized, reference): 288 self.assertIs(opt, ref) 289 #note: not assertEqual! We want to ensure *identical* behavior. 290 291class TestOptimizedCompares(unittest.TestCase): 292 def test_safe_object_compare(self): 293 heterogeneous_lists = [[0, 'foo'], 294 [0.0, 'foo'], 295 [('foo',), 'foo']] 296 for L in heterogeneous_lists: 297 self.assertRaises(TypeError, L.sort) 298 self.assertRaises(TypeError, [(x,) for x in L].sort) 299 self.assertRaises(TypeError, [((x,),) for x in L].sort) 300 301 float_int_lists = [[1,1.1], 302 [1<<70,1.1], 303 [1.1,1], 304 [1.1,1<<70]] 305 for L in float_int_lists: 306 check_against_PyObject_RichCompareBool(self, L) 307 308 def test_unsafe_object_compare(self): 309 310 # This test is by ppperry. It ensures that unsafe_object_compare is 311 # verifying ms->key_richcompare == tp->richcompare before comparing. 312 313 class WackyComparator(int): 314 def __lt__(self, other): 315 elem.__class__ = WackyList2 316 return int.__lt__(self, other) 317 318 class WackyList1(list): 319 pass 320 321 class WackyList2(list): 322 def __lt__(self, other): 323 raise ValueError 324 325 L = [WackyList1([WackyComparator(i), i]) for i in range(10)] 326 elem = L[-1] 327 with self.assertRaises(ValueError): 328 L.sort() 329 330 L = [WackyList1([WackyComparator(i), i]) for i in range(10)] 331 elem = L[-1] 332 with self.assertRaises(ValueError): 333 [(x,) for x in L].sort() 334 335 # The following test is also by ppperry. It ensures that 336 # unsafe_object_compare handles Py_NotImplemented appropriately. 337 class PointlessComparator: 338 def __lt__(self, other): 339 return NotImplemented 340 L = [PointlessComparator(), PointlessComparator()] 341 self.assertRaises(TypeError, L.sort) 342 self.assertRaises(TypeError, [(x,) for x in L].sort) 343 344 # The following tests go through various types that would trigger 345 # ms->key_compare = unsafe_object_compare 346 lists = [list(range(100)) + [(1<<70)], 347 [str(x) for x in range(100)] + ['\uffff'], 348 [bytes(x) for x in range(100)], 349 [cmp_to_key(lambda x,y: x<y)(x) for x in range(100)]] 350 for L in lists: 351 check_against_PyObject_RichCompareBool(self, L) 352 353 def test_unsafe_latin_compare(self): 354 check_against_PyObject_RichCompareBool(self, [str(x) for 355 x in range(100)]) 356 357 def test_unsafe_long_compare(self): 358 check_against_PyObject_RichCompareBool(self, [x for 359 x in range(100)]) 360 361 def test_unsafe_float_compare(self): 362 check_against_PyObject_RichCompareBool(self, [float(x) for 363 x in range(100)]) 364 365 def test_unsafe_tuple_compare(self): 366 # This test was suggested by Tim Peters. It verifies that the tuple 367 # comparison respects the current tuple compare semantics, which do not 368 # guarantee that x < x <=> (x,) < (x,) 369 # 370 # Note that we don't have to put anything in tuples here, because 371 # the check function does a tuple test automatically. 372 373 check_against_PyObject_RichCompareBool(self, [float('nan')]*100) 374 check_against_PyObject_RichCompareBool(self, [float('nan') for 375 _ in range(100)]) 376 377 def test_not_all_tuples(self): 378 self.assertRaises(TypeError, [(1.0, 1.0), (False, "A"), 6].sort) 379 self.assertRaises(TypeError, [('a', 1), (1, 'a')].sort) 380 self.assertRaises(TypeError, [(1, 'a'), ('a', 1)].sort) 381#============================================================================== 382 383if __name__ == "__main__": 384 unittest.main() 385