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#!/bin/bash

# Sets the user environment to use Python2.7.13

if [ -d /afs/slac/g/lcls ]; then

        export LCLS_ROOT=/afs/slac/g/lcls

else

        export LCLS_ROOT=/usr/local/lcls

fi

export ORACLE_HOME=${LCLS_ROOT}/package/oracle/product/11.2.0.2.0_x86_64/client_1

export QT_HOME=${LCLS_ROOT}/package/Qt/Qt-4.8.6/linux-x86_64

export PYTHON_ROOT=${LCLS_ROOT}/package/python/python2.7.13/linux-x86_64

export PATH=${QT_HOME}/bin:${ORACLE_HOME}/bin:${PYTHON_ROOT}/bin:${PATH}

export LD_LIBRARY_PATH=${LCLS_ROOT}/matlab/2016b/extern/lib:${EPICS_BASE_RELEASE}/lib/linux-x86_64:${EPICS_EXTENSIONS}/lib/linux-x86_64:${EPICS_BASE_TOP}/base-cpp-R4-6-0/lib/linux-x86_64:${QT_HOME}/lib:${ORACLE_HOME}/lib:${PYTHON_ROOT}/lib:${PYTHON_ROOT}/build/Python2.7.13/Lib:${LD_LIBRARY_PATH}

export PYTHONPATH=

Workarounds

After testing, it may be discovered that certain applications may not run with Python 2.7.13 64-bit due to unresolved/conflicting dependencies (e.g., 32-bit Python modules, Matlab2016b, Qt5, etc.) or other reasons. If such dependencies cannot currently be resolved, Python developers may invoke the following environment settings in a wrapper script or similar to launch the application using the older instance of Python instead:

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1. Add the previous Python instance to your environment:
   
   export PYTHON_ROOT=${LCLS_ROOT}/package/python/python2.7.4
   
   
2. Add the previous Python binaries to your environment:
   
   
   export PATH=${PYTHON_ROOT}/bin:${PATH}
   
3. Add the old Python libraries and their dependencies to your environment:
   
   export LD_LIBRARY_PATH=${}
   
   
4. [Optional] $ORACLE_HOME
   
   export ORACLE_HOME=package/oracle/product/11.1.0.6/client
   export PATH=${ORACLE_HOME}/bin:${PATH}
   export LD_LIBRARY_PATH=${ORACLE_HOME}/lib:${LD_LIBRARY_PATH}
   
   
   
5. [Optional] $QT_HOME
6. [Optional] Matlab
   
   
   
   

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