Added tests to check bad types, which discovered the above problem: on
type error we would have decref'd on exit something that was only
borrowed (because we wouldn't have performed matching increfs).
Fixed several shortcomings highlighted in #576 and not fixed as
requested.
Also fixed broken behaviour of ignoring the algorithm if the connection
is missing.
They can be valid chars in Python 3. Or maybe not? In which case Python
will throw an exception, but that's fine.
Fix regression introduced fixing #211
For library end users, there is no need to install tests alongside the
package itself. This keeps the tests available for development without
adding extra packages to user's site-packages directory. Reduces the
size of the installed package. Avoids accidental execution of test code
by an installed package.
Per the functions documentation, this argument is not supported on
Python 3. Skip it during tests.
> :param unicode: if `!True`, keys and values returned from the database
> will be `!unicode` instead of `!str`. The option is not available on
> Python 3
Work towards moving tests outside of the installed package.
The tests relied on Python2 relative import semantics. Python3 changed
import semantics to always search sys.path by default. To import using a
relative path it must have a leading dot.
Forward compatible with newer Pythons.
Works towards the goal of moving tests outside of the installed package.
For more information, see PEP-328:
https://www.python.org/dev/peps/pep-0328/
The json module is available in all Python versions supported by
psycopg2. No need to check for its presence when executing tests.
Should have been included with d58844e548
but was missed.
Not compatible with Python3. Makes the code more forward compatible with
modern Pythons.
In Python2, it was an alternative syntax for octal.
$ python3
>>> 01
File "<stdin>", line 1
01
^
SyntaxError: invalid token
There is no need to import testutils.unittest instead of simply
unittest. They are simple aliases. Use system unittest to be more
regular, consistent as well as idiomatic with the wider Python
community.
