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https://github.com/vale981/ray
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![]() * Remove all __future__ imports from RLlib. * Remove (object) again from tf_run_builder.py::TFRunBuilder. * Fix 2xLINT warnings. * Fix broken appo_policy import (must be appo_tf_policy) * Remove future imports from all other ray files (not just RLlib). * Remove future imports from all other ray files (not just RLlib). * Remove future import blocks that contain `unicode_literals` as well. Revert appo_tf_policy.py to appo_policy.py (belongs to another PR). * Add two empty lines before Schedule class. * Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error. |
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.. | ||
examples | ||
includes | ||
runtime | ||
tests | ||
__init__.pxd | ||
__init__.py | ||
_streaming.pyx | ||
communication.py | ||
config.py | ||
jobworker.py | ||
operator.py | ||
processor.py | ||
README.rst | ||
streaming.py |
Streaming Library ================= Dependencies: Install NetworkX: ``pip install networkx`` Examples: - simple.py: A simple example with stateless operators and different parallelism per stage. Run ``python simple.py --input-file toy.txt`` - wordcount.py: A streaming wordcount example with a stateful operator (rolling sum). Run ``python wordcount.py --titles-file articles.txt``