- Minor fixes to documentation.
- Add tox test environments for Python 3.4 and 3.5, PyPy 3 and PEP 8.
- Make Python 3.5 the default Python environment.
- Changed location
NoImplicitLookupErrorwas imported from in
- Reg was a bit too strict; when you had multiple (but not single) predicates, Reg would raise KeyError when you put in an unknown key. Now they’re just being silently ignored, as they don’t do any harm.
- Eliminated a check in
ArgExtractorthat could never take place.
- Bring test coverage back up to 100%.
- Add converage configuration to ignore test files in coverage reporting.
- A bugfix in the behavior of the fallback logic. In situations with multiple predicates of which one is a class predicate it was possible for a fallback not to be found even though a fallback was available.
Total rewrite of Reg! This includes a range of changes that can break code. The primary motivations for this rewrite:
- unify predicate system with class-based lookup system.
- extract dispatch information from specific arguments instead of all arguments.
Some specific changes:
@reg.dispatch()decorator. This decorator can be configured with predicates that extract information from the arguments. Rewrite this:
@reg.generic def foo(obj): pass
@reg.dispatch('obj') def foo(obj): pass
@reg.generic def bar(a, b): pass
@reg.dispatch('a', 'b') def bar(a, b): pass
This is to get dispatch on the classes of these instance arguments. If you want to match on the class of an attribute of an argument (for instance) you can use
match_instancewith a function:
@reg.dispatch(match_instance('a', lambda a: a.attr))
The first argument to
match_instanceis the name of the predicate by which you refer to it in
You can also use
match_classto have direct dispatch on classes (useful for replicating classmethods), and
match_keyto have dispatch on the (immutable) value of the argument (useful for a view predicate system). Like for
match_instance, you supply functions to these match functions that extract the exact information to dispatch on from the argument.
register_functionAPI replaces the
registerAPI to register a function. Replace this:
r.register(foo, (SomeClass,), dispatched_to)
r.register_function(foo, dispatched_to, obj=SomeClass)
You now use keyword parameters to indicate exactly those arguments specified by
reg.dispatch()are actually predicate arguments. You don’t need to worry about the order of predicates anymore when you register a function for it.
classgenericfunctionality is part of the predicate system now; you can use
@reg.classgeneric def foo(cls): pass
@reg.dispatch(reg.match_class('cls', lambda cls: cls)) def foo(cls): pass
You can do this with any argument now, not just the first one.
pep443 support is gone. Reg is focused on its own dispatch system.
Compose functionality is gone – it turns out Morepath doesn’t use lookup composition to support App inheritance. The cached lookup functionality has moved into
registry.pyand now also supports caching of predicate-based lookups.
Dependency on the future module is gone in favor of a small amount of compatibility code.
- Added a
@reg.classgeneric. This is like
@reg.generic, but the first argument is treated as a class, not as an instance. This makes it possible to replace
@classmethodwith a generic function too.
- Fix documentation on running documentation tests. For some reason this did not work properly anymore without running sphinxpython explicitly.
- Optimization: improve performance of generic function calls by
lookup_mapplyinstead of general
mapply, as we only care about passing in the lookup argument when it’s defined, and any other arguments should work as before. Also added a
perf.pywhich is a simple generic function timing script.
- Python 2.6 compatibility. (Ivo van der Wijk)
- Class maps (and thus generic function lookup) now works with old style classes as well.
- Marked as production/stable now in
- Removed unused code from mapply.py.
- Typo fix in API docs.
reg.ANYpublic. Used for predicates that match any value.
- arginfo has been totally rewritten and is now part of the public API of reg.
- Experimental Python 3.3 support thanks to the future module.
- If a generic function implementation defines a
lookupargument that argument will be the lookup used to call it.
reg.mapply(). This allows you to call things with more keyword arguments than it accepts, ignoring those extra keyword args.
- A function that returns
Noneis not assumed to fail, so no fallback to the original generic function is triggered anymore.
- An optional
precalcfacility is made available on
Matcherto avoid some recalculation.
- Implement a specific
PredicateMatcherthat matches a value on predicate.
- Initial public release.