Overloads for scipy.linalg functions

[jessegrabowski]

This PR provides numba overloads for functions in the scipy linalg library, including:

linalg.schur linalg.qz linalg.ordqz linalg.solve_discrete_lyapunov linalg.solve_continuous_lyapunov

The implementations are modeled on the numba.np.linalg implementations, although without special cython wrappers. Instead, i use intrinsics and ctypes as suggested here and here. Functions can be called on all data types supported by LAPACK.

It's not completely ready to be merged. For one thing, the overloads from linalg.overloads aren't automatically loaded via import numba_scipy. In addition, the function signatures don't exactly match those in scipy.linalg. Specifically, arguments related to configuring LAPACK functions, such as overwrite_a and lwork in linalg.schur, are not supported. Instead, a workspace query is always run in any function that requires a workspace.

These functions were admittedly chosen somewhat randomly (based on my personal needs), but it is my hope this PR can serve as a starting point for a conversation about a larger effort to numbfy the scipy.linalg package. Notably, #43 and #33 request linalg.logm, which requires schur decomposition, so this PR would be a first step towards meeting those needs. It also suggests an extendable framework that allows more LAPACK wrappers to be easily written and transformed into overloads for linalg functions.