PATH:
opt
/
bitninja-python-dojo
/
embedded
/
lib
/
python3.9
/
test
# Tests for rich comparisons import unittest from test import support import operator class Number: def __init__(self, x): self.x = x def __lt__(self, other): return self.x < other def __le__(self, other): return self.x <= other def __eq__(self, other): return self.x == other def __ne__(self, other): return self.x != other def __gt__(self, other): return self.x > other def __ge__(self, other): return self.x >= other def __cmp__(self, other): raise support.TestFailed("Number.__cmp__() should not be called") def __repr__(self): return "Number(%r)" % (self.x, ) class Vector: def __init__(self, data): self.data = data def __len__(self): return len(self.data) def __getitem__(self, i): return self.data[i] def __setitem__(self, i, v): self.data[i] = v __hash__ = None # Vectors cannot be hashed def __bool__(self): raise TypeError("Vectors cannot be used in Boolean contexts") def __cmp__(self, other): raise support.TestFailed("Vector.__cmp__() should not be called") def __repr__(self): return "Vector(%r)" % (self.data, ) def __lt__(self, other): return Vector([a < b for a, b in zip(self.data, self.__cast(other))]) def __le__(self, other): return Vector([a <= b for a, b in zip(self.data, self.__cast(other))]) def __eq__(self, other): return Vector([a == b for a, b in zip(self.data, self.__cast(other))]) def __ne__(self, other): return Vector([a != b for a, b in zip(self.data, self.__cast(other))]) def __gt__(self, other): return Vector([a > b for a, b in zip(self.data, self.__cast(other))]) def __ge__(self, other): return Vector([a >= b for a, b in zip(self.data, self.__cast(other))]) def __cast(self, other): if isinstance(other, Vector): other = other.data if len(self.data) != len(other): raise ValueError("Cannot compare vectors of different length") return other opmap = { "lt": (lambda a,b: a< b, operator.lt, operator.__lt__), "le": (lambda a,b: a<=b, operator.le, operator.__le__), "eq": (lambda a,b: a==b, operator.eq, operator.__eq__), "ne": (lambda a,b: a!=b, operator.ne, operator.__ne__), "gt": (lambda a,b: a> b, operator.gt, operator.__gt__), "ge": (lambda a,b: a>=b, operator.ge, operator.__ge__) } class VectorTest(unittest.TestCase): def checkfail(self, error, opname, *args): for op in opmap[opname]: self.assertRaises(error, op, *args) def checkequal(self, opname, a, b, expres): for op in opmap[opname]: realres = op(a, b) # can't use assertEqual(realres, expres) here self.assertEqual(len(realres), len(expres)) for i in range(len(realres)): # results are bool, so we can use "is" here self.assertTrue(realres[i] is expres[i]) def test_mixed(self): # check that comparisons involving Vector objects # which return rich results (i.e. Vectors with itemwise # comparison results) work a = Vector(range(2)) b = Vector(range(3)) # all comparisons should fail for different length for opname in opmap: self.checkfail(ValueError, opname, a, b) a = list(range(5)) b = 5 * [2] # try mixed arguments (but not (a, b) as that won't return a bool vector) args = [(a, Vector(b)), (Vector(a), b), (Vector(a), Vector(b))] for (a, b) in args: self.checkequal("lt", a, b, [True, True, False, False, False]) self.checkequal("le", a, b, [True, True, True, False, False]) self.checkequal("eq", a, b, [False, False, True, False, False]) self.checkequal("ne", a, b, [True, True, False, True, True ]) self.checkequal("gt", a, b, [False, False, False, True, True ]) self.checkequal("ge", a, b, [False, False, True, True, True ]) for ops in opmap.values(): for op in ops: # calls __bool__, which should fail self.assertRaises(TypeError, bool, op(a, b)) class NumberTest(unittest.TestCase): def test_basic(self): # Check that comparisons involving Number objects # give the same results give as comparing the # corresponding ints for a in range(3): for b in range(3): for typea in (int, Number): for typeb in (int, Number): if typea==typeb==int: continue # the combination int, int is useless ta = typea(a) tb = typeb(b) for ops in opmap.values(): for op in ops: realoutcome = op(a, b) testoutcome = op(ta, tb) self.assertEqual(realoutcome, testoutcome) def checkvalue(self, opname, a, b, expres): for typea in (int, Number): for typeb in (int, Number): ta = typea(a) tb = typeb(b) for op in opmap[opname]: realres = op(ta, tb) realres = getattr(realres, "x", realres) self.assertTrue(realres is expres) def test_values(self): # check all operators and all comparison results self.checkvalue("lt", 0, 0, False) self.checkvalue("le", 0, 0, True ) self.checkvalue("eq", 0, 0, True ) self.checkvalue("ne", 0, 0, False) self.checkvalue("gt", 0, 0, False) self.checkvalue("ge", 0, 0, True ) self.checkvalue("lt", 0, 1, True ) self.checkvalue("le", 0, 1, True ) self.checkvalue("eq", 0, 1, False) self.checkvalue("ne", 0, 1, True ) self.checkvalue("gt", 0, 1, False) self.checkvalue("ge", 0, 1, False) self.checkvalue("lt", 1, 0, False) self.checkvalue("le", 1, 0, False) self.checkvalue("eq", 1, 0, False) self.checkvalue("ne", 1, 0, True ) self.checkvalue("gt", 1, 0, True ) self.checkvalue("ge", 1, 0, True ) class MiscTest(unittest.TestCase): def test_misbehavin(self): class Misb: def __lt__(self_, other): return 0 def __gt__(self_, other): return 0 def __eq__(self_, other): return 0 def __le__(self_, other): self.fail("This shouldn't happen") def __ge__(self_, other): self.fail("This shouldn't happen") def __ne__(self_, other): self.fail("This shouldn't happen") a = Misb() b = Misb() self.assertEqual(a<b, 0) self.assertEqual(a==b, 0) self.assertEqual(a>b, 0) def test_not(self): # Check that exceptions in __bool__ are properly # propagated by the not operator import operator class Exc(Exception): pass class Bad: def __bool__(self): raise Exc def do(bad): not bad for func in (do, operator.not_): self.assertRaises(Exc, func, Bad()) @support.no_tracing def test_recursion(self): # Check that comparison for recursive objects fails gracefully from collections import UserList a = UserList() b = UserList() a.append(b) b.append(a) self.assertRaises(RecursionError, operator.eq, a, b) self.assertRaises(RecursionError, operator.ne, a, b) self.assertRaises(RecursionError, operator.lt, a, b) self.assertRaises(RecursionError, operator.le, a, b) self.assertRaises(RecursionError, operator.gt, a, b) self.assertRaises(RecursionError, operator.ge, a, b) b.append(17) # Even recursive lists of different lengths are different, # but they cannot be ordered self.assertTrue(not (a == b)) self.assertTrue(a != b) self.assertRaises(RecursionError, operator.lt, a, b) self.assertRaises(RecursionError, operator.le, a, b) self.assertRaises(RecursionError, operator.gt, a, b) self.assertRaises(RecursionError, operator.ge, a, b) a.append(17) self.assertRaises(RecursionError, operator.eq, a, b) self.assertRaises(RecursionError, operator.ne, a, b) a.insert(0, 11) b.insert(0, 12) self.assertTrue(not (a == b)) self.assertTrue(a != b) self.assertTrue(a < b) def test_exception_message(self): class Spam: pass tests = [ (lambda: 42 < None, r"'<' .* of 'int' and 'NoneType'"), (lambda: None < 42, r"'<' .* of 'NoneType' and 'int'"), (lambda: 42 > None, r"'>' .* of 'int' and 'NoneType'"), (lambda: "foo" < None, r"'<' .* of 'str' and 'NoneType'"), (lambda: "foo" >= 666, r"'>=' .* of 'str' and 'int'"), (lambda: 42 <= None, r"'<=' .* of 'int' and 'NoneType'"), (lambda: 42 >= None, r"'>=' .* of 'int' and 'NoneType'"), (lambda: 42 < [], r"'<' .* of 'int' and 'list'"), (lambda: () > [], r"'>' .* of 'tuple' and 'list'"), (lambda: None >= None, r"'>=' .* of 'NoneType' and 'NoneType'"), (lambda: Spam() < 42, r"'<' .* of 'Spam' and 'int'"), (lambda: 42 < Spam(), r"'<' .* of 'int' and 'Spam'"), (lambda: Spam() <= Spam(), r"'<=' .* of 'Spam' and 'Spam'"), ] for i, test in enumerate(tests): with self.subTest(test=i): with self.assertRaisesRegex(TypeError, test[1]): test[0]() class DictTest(unittest.TestCase): def test_dicts(self): # Verify that __eq__ and __ne__ work for dicts even if the keys and # values don't support anything other than __eq__ and __ne__ (and # __hash__). Complex numbers are a fine example of that. import random imag1a = {} for i in range(50): imag1a[random.randrange(100)*1j] = random.randrange(100)*1j items = list(imag1a.items()) random.shuffle(items) imag1b = {} for k, v in items: imag1b[k] = v imag2 = imag1b.copy() imag2[k] = v + 1.0 self.assertEqual(imag1a, imag1a) self.assertEqual(imag1a, imag1b) self.assertEqual(imag2, imag2) self.assertTrue(imag1a != imag2) for opname in ("lt", "le", "gt", "ge"): for op in opmap[opname]: self.assertRaises(TypeError, op, imag1a, imag2) class ListTest(unittest.TestCase): def test_coverage(self): # exercise all comparisons for lists x = [42] self.assertIs(x<x, False) self.assertIs(x<=x, True) self.assertIs(x==x, True) self.assertIs(x!=x, False) self.assertIs(x>x, False) self.assertIs(x>=x, True) y = [42, 42] self.assertIs(x<y, True) self.assertIs(x<=y, True) self.assertIs(x==y, False) self.assertIs(x!=y, True) self.assertIs(x>y, False) self.assertIs(x>=y, False) def test_badentry(self): # make sure that exceptions for item comparison are properly # propagated in list comparisons class Exc(Exception): pass class Bad: def __eq__(self, other): raise Exc x = [Bad()] y = [Bad()] for op in opmap["eq"]: self.assertRaises(Exc, op, x, y) def test_goodentry(self): # This test exercises the final call to PyObject_RichCompare() # in Objects/listobject.c::list_richcompare() class Good: def __lt__(self, other): return True x = [Good()] y = [Good()] for op in opmap["lt"]: self.assertIs(op(x, y), True) if __name__ == "__main__": unittest.main()
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