Lazily-evaluated, parallelizable pipeline.
Streams are iterables with a pipelining mechanism to enable data-flow programming and easy parallelization.
See the reference documentation at <http://www.trinhhaianh.com/stream.py>.
Articles written by the author about the module can be viewed at <http://blog.onideas.ws/tag/project:stream.py>.
The code repository is located at <http://github.com/aht/stream.py>.
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