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Based on a original work by Jeff Andrews, updated and extended
for Python3 by Robert Izzard
**THIS CODE IS VERY EXPERIMENTAL AND PROBABLY WILL NOT WORK**
r.izzard@surrey.ac.uk
http://personal.ph.surrey.ac.uk/~ri0005/binary_c.html
09/06/2019
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Requirements
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- Python3
- binary_c version 2.1+
- requirements.txt (no?)
Environment variables
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Before compilation you should set the following environment variables:
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- required: `BINARY_C` should point to the root directory of your binary_c installation
- recommended: `LD_LIBRARY_PATH` should include $BINARY_C/src and whatever directories are required to run binary_c (e.g. locations of libgsl, libmemoize, librinterpolate, etc.)
- recommended: `LIBRARY_PATH` should include whatever directories are required to build binary_c (e.g. locations of libgsl, libmemoize, librinterpolate, etc.)
Build instructions
---------------------
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To build the module, make sure you have built binary_c (with `make` in the binary_c root directory), its shared library (with `make libbinary_c.so` in the binary_c root directory), and set environment variables as described above, then run the following code in t:
make clean
make
python3 ./python_API_test.py
You will require whatever libraries with which binary_c was compiled, as well as the compiler with which Python was built (usually gcc, which is easily installed on most systems).
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If you want to be able to import the binary_c module correctly for child directories (or anywhere for that matter), execute or put the following code in your .bashrc/.zshrc:
```
export LD_LIBRARY_PATH=<full path to directory containing libbinary_c_api.so>
```
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TODO
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- ?Put the header and src files in a dedicated directory.
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- ?Have the compiled files be written into build
- Use sphinx for auto generation of docs
- Use queueing system/asynchronous task queue
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- Make some parse-data that can be easily used
- Make some simple script to assign probabilities