lib-python.2.7.test.test_richcmp.py Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of jython Show documentation
Show all versions of jython Show documentation
Jython is an implementation of the high-level, dynamic, object-oriented
language Python written in 100% Pure Java, and seamlessly integrated with
the Java platform. It thus allows you to run Python on any Java platform.
# Tests for rich comparisons
import unittest
from test import test_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 test_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 __nonzero__(self):
raise TypeError, "Vectors cannot be used in Boolean contexts"
def __cmp__(self, other):
raise test_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 xrange(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 = 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.itervalues():
for op in ops:
# calls __nonzero__, 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 xrange(3):
for b in xrange(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.itervalues():
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")
def __cmp__(self_, other): raise RuntimeError, "expected"
a = Misb()
b = Misb()
self.assertEqual(ab, 0)
self.assertRaises(RuntimeError, cmp, a, b)
def test_not(self):
# Check that exceptions in __nonzero__ are properly
# propagated by the not operator
import operator
class Exc(Exception):
pass
class Bad:
def __nonzero__(self):
raise Exc
def do(bad):
not bad
for func in (do, operator.not_):
self.assertRaises(Exc, func, Bad())
def test_recursion(self):
# Check that comparison for recursive objects fails gracefully
from UserList import UserList
a = UserList()
b = UserList()
a.append(b)
b.append(a)
self.assertRaises(RuntimeError, operator.eq, a, b)
self.assertRaises(RuntimeError, operator.ne, a, b)
self.assertRaises(RuntimeError, operator.lt, a, b)
self.assertRaises(RuntimeError, operator.le, a, b)
self.assertRaises(RuntimeError, operator.gt, a, b)
self.assertRaises(RuntimeError, 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(RuntimeError, operator.lt, a, b)
self.assertRaises(RuntimeError, operator.le, a, b)
self.assertRaises(RuntimeError, operator.gt, a, b)
self.assertRaises(RuntimeError, operator.ge, a, b)
a.append(17)
self.assertRaises(RuntimeError, operator.eq, a, b)
self.assertRaises(RuntimeError, 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)
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 = imag1a.items()
random.shuffle(items)
imag1b = {}
for k, v in items:
imag1b[k] = v
imag2 = imag1b.copy()
imag2[k] = v + 1.0
self.assertTrue(imag1a == imag1a)
self.assertTrue(imag1a == imag1b)
self.assertTrue(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(xx, False)
self.assertIs(x>=x, True)
y = [42, 42]
self.assertIs(xy, 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)
def test_main():
test_support.run_unittest(VectorTest, NumberTest, MiscTest, ListTest)
with test_support.check_py3k_warnings(("dict inequality comparisons "
"not supported in 3.x",
DeprecationWarning)):
test_support.run_unittest(DictTest)
if __name__ == "__main__":
test_main()