- Call either the item functions (e.g. __getitem__) or slicing function
  (e.g. __getslice__) to match the CPython behavior.
- Implement __getslice, __setslice__, __delslice__, for lists.
- Implement __setslice__ for strings.
- Some refactoring of common functionality for indexing and slicing.
- A lot of tests.

Fix parsing caching

Reenable attr interning

Flipped conditional meant that we were never caching the parse results :(

If we ask for a string as non-interned, and then ask for an interned
version of the string, we will discard the non-interned version and
generated a new interned version.  Now, keep the old version alive
as well.

From the course of debugging this gc issue.  this commit
shouldn't have much effect normally.

update libpypa

Add integration test for installing NumPy

travis-ci fixes

You can't use exit() to exit in the same way as if you had
died with a signal; we tried to do some exit-code munging
but we did it one way and our tester script expected another
way.  we could resolve that, or use the approach here: try
to die with the same signal by sending it to ourselves.

Doesn't work right now, but we'll want to support NumPy at some point.

The debug builds are taking a very long time to compile, but
when I reran one it completed very quickly.  Let's see if
this works+helps.

Add docs and tips for new contributors

try reverting these

This reverts commit 071ca0d8, reversing
changes made to aba975d1.

This reverts commit c78fdcb9.

Fixes

Instead, save the file data and parse that instead.
I think that should help with cases where the cached
file was getting trampled.

More travis-ci investigations

A fix to the ast interpreter gc visitor

more small perf work

Cache floats based on their bits, not their value

Fix some issues found during a search for another bug

now that the strings get interned anyway.  if we want to continue
down that road of interning BoxedStrings, we could probably do
away with InternedString's entirely.

Allocating things in-line, using malloc-friendly data structures, etc.

Fix a small test output difference on Ubuntu 15.04

- call PyType_Check instead of isSubclass
- unlikely()
- object_cls gets checked all the time but only has attributes that
  start with '_'

The help text has changed...

We were using a C 'double' as the hashmap key, which meant
that 0.0 and -0.0 would end up caching to the same thing.
Instead, extract the bits of the double, and use that as the
cache key instead.

Should fix #724

Add some more debugging for travis-ci builds