Added sanitize_np function, which is faster than sanitize_doc

[gwbischof]

sanitize_doc was a bottleneck for mongo inserting. sanitize_np fixes this problem. I made it a separate function because sanitize_doc also changes tuples to lists in addition to sanitizing numpy, and this feature is useful for some tests.

[tacaswell]

This does not look like it will catch:

d = {'a': {'b': np.arange(5)}}

[danielballan]

Can this be updated to handle a list of arrays? Example:

In [3]: sanitize_np({'a': [numpy.arange(5)]})
Out[3]: {'a': [array([0, 1, 2, 3, 4])]}

We encountered that in the wild at some point and that was our reason for switching to the approach currently used in sanitize_doc. Would be nice to have something that can handle that but is fast, which a round-trip through JSON is not.

[codecov-io]

Codecov Report

Merging #71 into master will decrease coverage by 0.8%.
The diff coverage is 100%.

@@            Coverage Diff             @@
##           master      #71      +/-   ##
==========================================
- Coverage   79.89%   79.08%   -0.81%     
==========================================
  Files           3        3              
  Lines        1104     1119      +15     
==========================================
+ Hits          882      885       +3     
- Misses        222      234      +12

Impacted Files	Coverage Δ
event_model/__init__.py	83.59% <100%> (-1.95%)	⬇️

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[danielballan]

It would be better to duck-type if we can. Resorting to isinstance creates fragility because it won't work on things are dict-like or list-like. For example, this won't recurse into tuples. See for example https://github.com/NSLS-II/databroker/blob/30e9c707171df5ad14cd58a21382284af7c7db87/databroker/utils.py#L29-L42 where we sniffed out dicts based on the existence of an .items() attribute. A good trick for catching lists/tuples/etc. is to use isinstance(x, collections.abc.Iterable).

[gwbischof]

I'll add some tests before trying to merge, I'll work on that later.

[klauer]

Unreachable line