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The pull request include support for repeatable generator functions, that is, generator functions that can be invoked many times.
I have implemented 2 different strategies:

  1. Full fetch of data: this is useful if you cannot preserve a deterministic order of the generated items; works only if the generator does not produce many elements
  2. Real generation of data: this works only on deterministic generators, that is, the order of the generated elements are always the same. Works pretty well with very long generations of items

I have also added Python 3.6 to the travis environments.

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