Lib.test.test_stringmap.py Maven / Gradle / Ivy
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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.
import unittest
from test import test_support
from test_userdict import TestMappingProtocol
from org.python.core import PyStringMap
class SimpleClass:
pass
class StringMapTest(TestMappingProtocol):
_tested_class = None
class ClassDictTests(StringMapTest):
"""Check that class dicts conform to the mapping protocol"""
def _empty_mapping(self):
for key in SimpleClass.__dict__.copy():
SimpleClass.__dict__.pop(key)
return SimpleClass.__dict__
class InstanceDictTests(StringMapTest):
def _empty_mapping(self):
return SimpleClass().__dict__
class PyStringMapTest(StringMapTest):
_tested_class = PyStringMap
def test_all(self):
d = PyStringMap()
# Test __setitem__
d["one"] = 1
# Test __getitem__
self.assertEqual(d["one"], 1)
self.assertRaises(KeyError, d.__getitem__, "two")
# Test __delitem__
del d["one"]
self.assertRaises(KeyError, d.__delitem__, "one")
# Test clear
d.update(self._reference())
d.clear()
self.assertEqual(d, {})
# Test copy()
d.update(self._reference())
da = d.copy()
self.assertEqual(d, da)
# Test keys, items, values
r = self._reference()
d.update(self._reference())
for k in d.keys():
self.failUnless(k in r.keys())
for i in d.items():
self.failUnless(i in r.items())
for v in d.values():
self.failUnless(v in r.values())
# Test has_key and "in".
for i in r.keys():
self.assert_(d.has_key(i))
self.assert_(i in d)
# Test unhashability
self.assertRaises(TypeError, hash, d)
def test_stringmap_in_mapping(self):
class A:
def __init__(self):
self.a = "a"
self.assertEquals("a", "%(a)s" % A().__dict__)
def test_main():
test_support.run_unittest(
ClassDictTests,
InstanceDictTests,
PyStringMapTest
)
if __name__ == "__main__":
test_main()
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