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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.
#! /usr/bin/env python
"""Test script for the dumbdbm module
Original by Roger E. Masse
"""
import os
import unittest
import dumbdbm
from test import test_support
_fname = test_support.TESTFN
def _delete_files():
for ext in [".dir", ".dat", ".bak"]:
try:
os.unlink(_fname + ext)
except OSError:
pass
class DumbDBMTestCase(unittest.TestCase):
_dict = {'0': '',
'a': 'Python:',
'b': 'Programming',
'c': 'the',
'd': 'way',
'f': 'Guido',
'g': 'intended'
}
def __init__(self, *args):
unittest.TestCase.__init__(self, *args)
def test_dumbdbm_creation(self):
f = dumbdbm.open(_fname, 'c')
self.assertEqual(f.keys(), [])
for key in self._dict:
f[key] = self._dict[key]
self.read_helper(f)
f.close()
def test_close_twice(self):
f = dumbdbm.open(_fname)
f['a'] = 'b'
self.assertEqual(f['a'], 'b')
f.close()
f.close()
def test_dumbdbm_modification(self):
self.init_db()
f = dumbdbm.open(_fname, 'w')
self._dict['g'] = f['g'] = "indented"
self.read_helper(f)
f.close()
def test_dumbdbm_read(self):
self.init_db()
f = dumbdbm.open(_fname, 'r')
self.read_helper(f)
f.close()
def test_dumbdbm_keys(self):
self.init_db()
f = dumbdbm.open(_fname)
keys = self.keys_helper(f)
f.close()
def test_write_write_read(self):
# test for bug #482460
f = dumbdbm.open(_fname)
f['1'] = 'hello'
f['1'] = 'hello2'
f.close()
f = dumbdbm.open(_fname)
self.assertEqual(f['1'], 'hello2')
f.close()
def test_line_endings(self):
# test for bug #1172763: dumbdbm would die if the line endings
# weren't what was expected.
f = dumbdbm.open(_fname)
f['1'] = 'hello'
f['2'] = 'hello2'
f.close()
# Mangle the file by adding \r before each newline
data = open(_fname + '.dir').read()
data = data.replace('\n', '\r\n')
open(_fname + '.dir', 'wb').write(data)
f = dumbdbm.open(_fname)
self.assertEqual(f['1'], 'hello')
self.assertEqual(f['2'], 'hello2')
def read_helper(self, f):
keys = self.keys_helper(f)
for key in self._dict:
self.assertEqual(self._dict[key], f[key])
def init_db(self):
f = dumbdbm.open(_fname, 'w')
for k in self._dict:
f[k] = self._dict[k]
f.close()
def keys_helper(self, f):
keys = f.keys()
keys.sort()
dkeys = self._dict.keys()
dkeys.sort()
self.assertEqual(keys, dkeys)
return keys
# Perform randomized operations. This doesn't make assumptions about
# what *might* fail.
def test_random(self):
import random
d = {} # mirror the database
for dummy in range(5):
f = dumbdbm.open(_fname)
for dummy in range(100):
k = random.choice('abcdefghijklm')
if random.random() < 0.2:
if k in d:
del d[k]
del f[k]
else:
v = random.choice('abc') * random.randrange(10000)
d[k] = v
f[k] = v
self.assertEqual(f[k], v)
f.close()
f = dumbdbm.open(_fname)
expected = d.items()
expected.sort()
got = f.items()
got.sort()
self.assertEqual(expected, got)
f.close()
def tearDown(self):
_delete_files()
def setUp(self):
_delete_files()
def test_main():
try:
test_support.run_unittest(DumbDBMTestCase)
finally:
_delete_files()
if __name__ == "__main__":
test_main()