upstream/ipython Files · IPython/lib/tests/test_security.py

utils.data: Use list comprehension for uniq_stable()...

utils.data: Use list comprehension for uniq_stable() This should be faster than and explicit for loop. Also, a set makes more sense than a dict if we only care about values. After these changes, the resulting code is the same as Dave Kirby's uniqify() suggestion on Peter Bengtsson's blog [1]. [1]: http://www.peterbe.com/plog/uniqifiers-benchmark

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      from IPython.lib import passwd

      from IPython.lib.security import passwd_check, salt_len

      import nose.tools as nt

      def test_passwd_structure():

          p = passwd('passphrase')

          algorithm, salt, hashed = p.split(':')

          nt.assert_equal(algorithm, 'sha1')

          nt.assert_equal(len(salt), salt_len)

          nt.assert_equal(len(hashed), 40)

      def test_roundtrip():

          p = passwd('passphrase')

          nt.assert_equal(passwd_check(p, 'passphrase'), True)

      def test_bad():

          p = passwd('passphrase')

          nt.assert_equal(passwd_check(p, p), False)

          nt.assert_equal(passwd_check(p, 'a:b:c:d'), False)

          nt.assert_equal(passwd_check(p, 'a:b'), False)

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				from IPython.lib import passwd
				from IPython.lib.security import passwd_check, salt_len
				import nose.tools as nt

				def test_passwd_structure():
				p = passwd('passphrase')
				algorithm, salt, hashed = p.split(':')
				nt.assert_equal(algorithm, 'sha1')
				nt.assert_equal(len(salt), salt_len)
				nt.assert_equal(len(hashed), 40)

				def test_roundtrip():
				p = passwd('passphrase')
				nt.assert_equal(passwd_check(p, 'passphrase'), True)

				def test_bad():
				p = passwd('passphrase')
				nt.assert_equal(passwd_check(p, p), False)
				nt.assert_equal(passwd_check(p, 'a:b:c:d'), False)
				nt.assert_equal(passwd_check(p, 'a:b'), False)