Aligned NumPy dtypes caching

[Jlisowskyy]

Proposed solution for #791

def _dtype_cache_key(dtype):
    return (
        dtype,
        getattr(dtype, "isalignedstruct", None),
    )

@functools.lru_cache
def _from_dtype_impl(dtype_cached):
    dtype = dtype_cached[0]
    ...

def from_dtype(dtype):
    return _from_dtype_impl(_dtype_cache_key(dtype))

Instead of alignment unaware:

@functools.lru_cache
def from_dtype(dtype):
    ...

** How it works **

Create a cache key for dtype that includes the isalignedstruct attribute to account for alignment data

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[ZzEeKkAa]

/ok to test

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/ok to test

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[ZzEeKkAa]

/ok to test

[isVoid]

I got the idea from the offline convo with @seberg that dtype ==(equivalence) is only to address whether two dtypes can be viewed as the same bytes without casts. By that definition, it's a bit too weak using its own identity as the cache key. So the change makes sense here.

[isVoid]

/ok to test f2017c9