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* TensorFlow 1.12 or newer ([install](https://www.tensorflow.org/install/install_linux)). To check TensorFlow version:
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> python3 -c 'import tensorflow as tf; print(tf.\_\_version\_\_)'
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- For a TensorFlow 2.1 implementation by [@Kolkir](https://github.com/Kolkir/), see: [https://github.com/Kolkir/code2seq](https://github.com/Kolkir/code2seq)
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* For [creating a new Java dataset](#creating-and-preprocessing-a-new-java-dataset) or [manually examining a trained model](#step-4-manual-examination-of-a-trained-model) (any operation that requires parsing of a new code example): [JDK](https://openjdk.java.net/install/)
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* For creating a C# dataset: [dotnet-core](https://dotnet.microsoft.com/download) version 2.2 or newer.
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*`pip install rouge` for computing rouge scores.
@@ -180,7 +181,7 @@ A "released" model usually takes ~3x less disk space.
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This project currently supports Java and C\# as the input languages.
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_**March 2020** - a code2seq extractor for **C++** based on LLVM was developed by [@Kolkir](https://github.com/Kolkir/) and is available here: [https://github.com/Kolkir/cppminer](https://github.com/Kolkir/cppminer).
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_**March 2020** - a code2seq extractor for **C++** based on LLVM was developed by [@Kolkir](https://github.com/Kolkir/) and is available here: [https://github.com/Kolkir/cppminer](https://github.com/Kolkir/cppminer)._
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_**January 2020** - a code2seq extractor for Python (specifically targeting the Python150k dataset) was contributed by [@stasbel](https://github.com/stasbel). See: [https://github.com/tech-srl/code2seq/tree/master/Python150kExtractor](https://github.com/tech-srl/code2seq/tree/master/Python150kExtractor)._
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