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Committed 01 Jun 2020 12:34AM UTC coverage: 63.372% (-22.3%) from 85.67%

Job # JULIA_NUM_THREADS=2 COVERALLS_PARALLEL=true

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Add TeeRF and ProductRF: multicasting reducing function combinators (#295)

This PR adds `TeeRF` and `ProductRF` that combine _multiple_ reducing
functions into a single reducing function by "multicasting" items in
the input.  For example, they can be used to compose reductions like
`extrema` fused with arbitrary processing with transducer:

```julia
julia> foldl(TeeRF(min, max), Filter(isodd), 2:8)
(3, 7)
```

Since `TeeRF` and `ProductRF` are the transformation of the form
`(rf₁, rf₂, ..., rfₙ) -> rf′` and not `rf -> rf′`, they are _not_
transducers.  However, implementing them correctly requires the
generalized reducing function API (and a coherent initialization
framework #289) as in Transducers.jl.  So, it makes sense to have them
here.

This PR also adds a _transducer_ `Broadcasting` which resembles
`ProductRF` (and originally implemented as a reducing function than a
transducer).

close #65

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