Difference between revisions of "Documentation/Labs/SlicerCondaIntegration"
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Slicer currently builds a custom python distribution from source, but not all useful packages are available. But [https://store.continuum.io/cshop/anaconda/ Anaconda] provides a set of binaries that might provide a more comprehensive ecosystem. | Slicer currently builds a custom python distribution from source, but not all useful packages are available. But [https://store.continuum.io/cshop/anaconda/ Anaconda] provides a set of binaries that might provide a more comprehensive ecosystem. | ||
− | + | Instead of attempting to use the whole Anaconda package, our approach will be to use Miniconda, a reduced version of Anaconda, and (1) install a pre-defined set of packages and (2) provide a way to easily install new ones. | |
+ | |||
+ | == Update 2016-01-22 (Jorge) == | ||
+ | After a follow up with JC about this topic, and due to the apparent complexity of this task, it has been decided to make a small survey to have a better idea of which would be the most needed packages for the community from those ones available in Anaconda. | ||
+ | |||
+ | The link to indicate your preferences is: https://docs.google.com/spreadsheets/d/1j4iugjs0GkHEn1elUbceMW2KJ21FM-QrYoFtZ4P9yOc/edit?usp=sharing | ||
+ | |||
+ | == Update 2015-10-10 == | ||
+ | |||
+ | We (Kitware) did few experiments where we copied the anaconda numpy and SciPy packages into a Slicer build tree and run the associated tests. The link below summarizes the results. | ||
+ | |||
+ | It turns out that there are a lot of issues with this approach. | ||
+ | |||
+ | See https://goo.gl/VNy7yV | ||
+ | |||
+ | Next step: We suggest to continue with the initial approach where Slicer is built against miniconda Python libraries. | ||
+ | |||
+ | == Virtual Hackfest: August 24, 9am == | ||
+ | |||
+ | === Info === | ||
+ | |||
+ | Location: Google hangout (connection details will be shared on the Slicer developer list) | ||
+ | |||
+ | What: Work on Slicer and Conda integration | ||
+ | |||
+ | === Proposed tasks === | ||
+ | * <s>Review and consolidate contributions of Jorge and Adam</s> {{done}} | ||
+ | * <s>Implement miniconda external project files as outlined [[#Next_steps|below]]</s> {{done}} | ||
+ | * Create a Slicer module providing: | ||
+ | ** (1) scripted interface to install additional conda package | ||
+ | ** (2) UI to provide similar functionality | ||
+ | * Update [[Documentation/Nightly/Developers/Extensions/DescriptionFile|extension description format]] to specify python dependencies that could be installed either at build/package time or at run time. | ||
+ | |||
+ | === Links === | ||
+ | |||
+ | * Jorge: | ||
+ | ** https://github.com/jonieva/Slicer/tree/Conda | ||
+ | ** http://slicer-devel.65872.n3.nabble.com/Compiling-Slicer-with-Anaconda-td4033321.html | ||
+ | * Adam: | ||
+ | ** https://github.com/adamrankin/SlicerTAVI | ||
+ | ** http://slicer-devel.65872.n3.nabble.com/Re-Slicer-build-with-custom-python-td4034662.html | ||
− | |||
==Compile Slicer against miniconda== | ==Compile Slicer against miniconda== | ||
=== Mac === | === Mac === | ||
+ | |||
+ | Note: the platform used is MacOSX 10.9.5 with XCode 6 | ||
+ | |||
+ | * Download the source code hosted in https://github.com/jonieva/Slicer/tree/Conda | ||
+ | * Build (assuming MacOSX 10.9): | ||
+ | cmake \ | ||
+ | '''-DSlicer_USE_CONDA_python:BOOL=ON''' \ | ||
+ | -DCMAKE_BUILD_TYPE:STRING=Debug \ | ||
+ | -DQT_QMAKE_EXECUTABLE:FILEPATH=/usr/bin/qmake \ | ||
+ | -DCMAKE_OSX_DEPLOYMENT_TARGET:STRING=10.9 \ | ||
+ | -DCMAKE_OSX_SYSROOT:FILEPATH=/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.9.sdk \ | ||
+ | -DSlicer_BUILD_CLI:BOOL=OFF \ | ||
+ | -DSlicer_USE_PYTHONQT_WITH_TCL:BOOL=OFF \ | ||
+ | ../Slicer | ||
+ | |||
+ | The only changes in the source code are in Superbuild/External_python.cmake and in Superbuild/External_NUMPY.cmake files (in the current version Slicer will use Anaconda Numpy). | ||
+ | For the sake of testing, the next Python Conda modules are installed by default: numpy, scikit-learn. | ||
+ | |||
+ | ====Issues==== | ||
+ | * libsqlite3.dylib library in miniconda has a conflict with CTK: | ||
+ | <pre> | ||
+ | Compiling python scripts: CTKScriptingPythonCore | ||
+ | Compiling python scripts: ctkSimplePythonShell | ||
+ | Linking CXX shared module ../../bin/CTKCorePythonQt.so | ||
+ | dyld: Symbol not found: _sqlite3_intarray_bind | ||
+ | Referenced from: /System/Library/Frameworks/CoreData.framework/Versions/A/CoreData | ||
+ | Expected in: /Users/Jorge/Projects/BWH/Slicer-Superbuild-Conda-Eclipse/python-miniconda/lib/libsqlite3.dylib | ||
+ | in /System/Library/Frameworks/CoreData.framework/Versions/A/CoreData | ||
+ | dyld: Symbol not found: _sqlite3_intarray_bind | ||
+ | Referenced from: /System/Library/Frameworks/CoreData.framework/Versions/A/CoreData | ||
+ | Expected in: /Users/Jorge/Projects/BWH/Slicer-Superbuild-Conda-Eclipse/python-miniconda/lib/libsqlite3.dylib | ||
+ | in /System/Library/Frameworks/CoreData.framework/Versions/A/CoreData | ||
+ | </pre> | ||
+ | |||
+ | Workaround: delete or rename the file (there is a hack included in the External_python.cmake file to this end). | ||
+ | |||
+ | * When running Slicer.app (not the binary file in Slicer-Superbuild-Conda/Slicer-build) the program is not using Miniconda, but the System Python, so it doesn't find the right libraries: | ||
<pre> | <pre> | ||
− | + | Python 2.7.5 (default, Mar 9 2014, 22:15:05) | |
− | + | [GCC 4.2.1 Compatible Apple LLVM 5.0 (clang-500.0.68)] on darwin | |
− | + | >>> Traceback (most recent call last): | |
− | + | File "<string>", line 1, in <module> | |
− | + | File "/Users/Jorge/Projects/BWH/Slicer-Superbuild-Conda/Slicer-build/lib/Slicer-4.4/qt-scripted-modules/SimpleFilters.py", line 3, in <module> | |
− | + | import SimpleITK as sitk | |
− | + | File "/Library/Python/2.7/site-packages/SimpleITK-0.9.0.dev656-py2.7-macosx-10.9-intel.egg/SimpleITK/__init__.py", line 1, in <module> | |
− | + | from .SimpleITK import * | |
− | + | File "/Library/Python/2.7/site-packages/SimpleITK-0.9.0.dev656-py2.7-macosx-10.9-intel.egg/SimpleITK/SimpleITK.py", line 28, in <module> | |
− | + | _SimpleITK = swig_import_helper() | |
+ | File "/Library/Python/2.7/site-packages/SimpleITK-0.9.0.dev656-py2.7-macosx-10.9-intel.egg/SimpleITK/SimpleITK.py", line 24, in swig_import_helper | ||
+ | _mod = imp.load_module('_SimpleITK', fp, pathname, description) | ||
+ | ImportError: dlopen(/Library/Python/2.7/site-packages/SimpleITK-0.9.0.dev656-py2.7-macosx-10.9-intel.egg/SimpleITK/_SimpleITK.so, 2): Library not loaded: libSimpleITKBasicFilters12-0.9.1.dylib | ||
+ | Referenced from: /Library/Python/2.7/site-packages/SimpleITK-0.9.0.dev656-py2.7-macosx-10.9-intel.egg/SimpleITK/_SimpleITK.so | ||
+ | Reason: image not found | ||
</pre> | </pre> | ||
− | + | So, in order that the system works, '''Slicer must be started from a terminal running the file Slicer-Superbuild-Conda/Slicer-build/Slicer''' | |
− | + | ||
− | |||
− | |||
− | |||
− | |||
− | |||
=== Linux === | === Linux === | ||
+ | |||
+ | * Download the source code in https://github.com/jonieva/Slicer/tree/Conda | ||
+ | * Build Slicer normally, except for the setting Slicer_USE_CONDA_python. Example: | ||
+ | |||
+ | <pre> | ||
+ | cmake \ | ||
+ | '''-DSlicer_USE_CONDA_python:BOOL=ON''' \ | ||
+ | -DCMAKE_BUILD_TYPE:STRING=Debug \ | ||
+ | -DQT_QMAKE_EXECUTABLE:FILEPATH=/usr/bin/qmake \ | ||
+ | -DSlicer_BUILD_CLI:BOOL=OFF \ | ||
+ | -DSlicer_USE_PYTHONQT_WITH_TCL:BOOL=OFF \ | ||
+ | ../Slicer | ||
+ | </pre> | ||
+ | |||
+ | |||
+ | ====Different approach==== | ||
+ | |||
+ | ===== 2015-02-04 - Steve Pieper ===== | ||
The following worked for me (Steve Pieper, 2015-02-04) using ubuntu 13.10 and miniconda 3.8.4-py27_0 | The following worked for me (Steve Pieper, 2015-02-04) using ubuntu 13.10 and miniconda 3.8.4-py27_0 | ||
Line 85: | Line 179: | ||
</pre> | </pre> | ||
− | -- Configuring | + | -- Configuring incomplete |
− | === | + | ===== 2015-03-02 - Jc ===== |
− | + | 2015-03-02(Jc): To simplify even further, using Slicer >= r24007, the following is expected to work. It is not needed to manually remove Numpy. | |
− | = | + | This is achieved by specifying <code>-DSlicer_USE_SYSTEM_NUMPY:BOOL=1</code> and also by specifying all dependencies of NUMPY (python, zlib, OpenSSL and CTKAPPLAUNCHER) should not be expected on the system. |
− | |||
− | + | Note also that since I built Qt against the latest version of OpenSSL in the 1.0.1 series, I explicitly add <code>-DOPENSSL_DOWNLOAD_VERSION:STRING=1.0.1l</code> | |
− | |||
− | |||
− | |||
− | = | + | <pre> |
− | + | QT_QMAKE_EXECUTABLE=/home/jcfr/Support/qt-everywhere-opensource-release-build-4.8.6/bin/qmake | |
+ | CONDA_ROOT=/home/jcfr/Projects/sandbox | ||
− | + | cmake \ | |
− | + | -DCMAKE_BUILD_TYPE:STRING=Release \ | |
− | + | -DQT_QMAKE_EXECUTABLE:FILEPATH=${QT_QMAKE_EXECUTABLE} \ | |
− | + | -DPYTHON_EXECUTABLE:FILEPATH=${CONDA_ROOT}/miniconda/bin/python \ | |
− | + | -DPYTHON_INCLUDE_DIR:PATH=${CONDA_ROOT}/miniconda/include/python2.7 \ | |
− | + | -DPYTHON_LIBRARY:FILEPATH=${CONDA_ROOT}/miniconda/lib/libpython2.7.so \ | |
− | + | -DSlicer_USE_PYTHONQT_WITH_OPENSSL:BOOL=1 \ | |
− | + | -DOPENSSL_DOWNLOAD_VERSION:STRING=1.0.1l \ | |
− | + | -DSlicer_USE_SYSTEM_CTKAPPLAUNCHER:BOOL=0 \ | |
− | + | -DSlicer_USE_SYSTEM_OpenSSL:BOOL=0 \ | |
− | + | -DSlicer_USE_SYSTEM_zlib:BOOL=0 \ | |
− | + | -DSlicer_USE_SYSTEM_python:BOOL=0 \ | |
− | + | -DSlicer_USE_SYSTEM_NUMPY:BOOL=1 \ | |
− | + | -DSlicer_BUILD_CLI:BOOL=OFF \ | |
− | + | -DSlicer_USE_PYTHONQT_WITH_TCL:BOOL=OFF \ | |
+ | ../Slicer | ||
+ | |||
+ | nice make -j4 | ||
+ | |||
+ | </pre> | ||
− | + | === Windows === | |
− | + | Although the code in https://github.com/jonieva/Slicer/tree/Conda should work with Windows too (using the setting Slicer_USE_CONDA_python=ON), it has not been tested at the moment. | |
− | |||
− | |||
− | |||
− | + | ==Compile Slicer and python 2.7.10 + drop in conda binary packages == | |
− | + | === Initial experiments === | |
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+ | TBD | ||
+ | == Next steps == | ||
− | + | === Phase 1 === | |
− | + | Copied from the conclusion of the [[Developer_Meetings/20150324#Conclusions|Developer hangout of March 24th 2015]] | |
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− | + | <s> | |
− | + | * Python conda - next steps: | |
− | + | ** Create External_miniconda.cmake | |
+ | ** Add a variable named EXTERNAL_PYTHON_NAME that could take two values: python or miniconda | ||
+ | *** In the SuperBuild.cmake, an option named EXTERNAL_PYTHON_NAME could be added. By default, it would be set to "python" but could switch to "miniconda" | ||
+ | ** Projects like External_{CTK, VTK}.cmake would be updated to depend on ${EXTERNAL_PYTHON_NAME} | ||
+ | ** For now, let's consider only the case OpenSSL disabled. | ||
+ | </s> | ||
+ | {{done}} See https://github.com/jcfr/Slicer/tree/slicer-miniconda | ||
− | + | === Phase 2 === | |
− | |||
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− | |||
− | |||
− | |||
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− | |||
− | + | TBD |
Latest revision as of 22:19, 22 March 2016
Home < Documentation < Labs < SlicerCondaIntegrationSlicer currently builds a custom python distribution from source, but not all useful packages are available. But Anaconda provides a set of binaries that might provide a more comprehensive ecosystem.
Instead of attempting to use the whole Anaconda package, our approach will be to use Miniconda, a reduced version of Anaconda, and (1) install a pre-defined set of packages and (2) provide a way to easily install new ones.
Contents
Update 2016-01-22 (Jorge)
After a follow up with JC about this topic, and due to the apparent complexity of this task, it has been decided to make a small survey to have a better idea of which would be the most needed packages for the community from those ones available in Anaconda.
The link to indicate your preferences is: https://docs.google.com/spreadsheets/d/1j4iugjs0GkHEn1elUbceMW2KJ21FM-QrYoFtZ4P9yOc/edit?usp=sharing
Update 2015-10-10
We (Kitware) did few experiments where we copied the anaconda numpy and SciPy packages into a Slicer build tree and run the associated tests. The link below summarizes the results.
It turns out that there are a lot of issues with this approach.
Next step: We suggest to continue with the initial approach where Slicer is built against miniconda Python libraries.
Virtual Hackfest: August 24, 9am
Info
Location: Google hangout (connection details will be shared on the Slicer developer list)
What: Work on Slicer and Conda integration
Proposed tasks
Review and consolidate contributions of Jorge and AdamImplement miniconda external project files as outlined below- Create a Slicer module providing:
- (1) scripted interface to install additional conda package
- (2) UI to provide similar functionality
- Update extension description format to specify python dependencies that could be installed either at build/package time or at run time.
Links
- Jorge:
- Adam:
Compile Slicer against miniconda
Mac
Note: the platform used is MacOSX 10.9.5 with XCode 6
- Download the source code hosted in https://github.com/jonieva/Slicer/tree/Conda
- Build (assuming MacOSX 10.9):
cmake \ -DSlicer_USE_CONDA_python:BOOL=ON \ -DCMAKE_BUILD_TYPE:STRING=Debug \ -DQT_QMAKE_EXECUTABLE:FILEPATH=/usr/bin/qmake \ -DCMAKE_OSX_DEPLOYMENT_TARGET:STRING=10.9 \ -DCMAKE_OSX_SYSROOT:FILEPATH=/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.9.sdk \ -DSlicer_BUILD_CLI:BOOL=OFF \ -DSlicer_USE_PYTHONQT_WITH_TCL:BOOL=OFF \ ../Slicer
The only changes in the source code are in Superbuild/External_python.cmake and in Superbuild/External_NUMPY.cmake files (in the current version Slicer will use Anaconda Numpy). For the sake of testing, the next Python Conda modules are installed by default: numpy, scikit-learn.
Issues
- libsqlite3.dylib library in miniconda has a conflict with CTK:
Compiling python scripts: CTKScriptingPythonCore Compiling python scripts: ctkSimplePythonShell Linking CXX shared module ../../bin/CTKCorePythonQt.so dyld: Symbol not found: _sqlite3_intarray_bind Referenced from: /System/Library/Frameworks/CoreData.framework/Versions/A/CoreData Expected in: /Users/Jorge/Projects/BWH/Slicer-Superbuild-Conda-Eclipse/python-miniconda/lib/libsqlite3.dylib in /System/Library/Frameworks/CoreData.framework/Versions/A/CoreData dyld: Symbol not found: _sqlite3_intarray_bind Referenced from: /System/Library/Frameworks/CoreData.framework/Versions/A/CoreData Expected in: /Users/Jorge/Projects/BWH/Slicer-Superbuild-Conda-Eclipse/python-miniconda/lib/libsqlite3.dylib in /System/Library/Frameworks/CoreData.framework/Versions/A/CoreData
Workaround: delete or rename the file (there is a hack included in the External_python.cmake file to this end).
- When running Slicer.app (not the binary file in Slicer-Superbuild-Conda/Slicer-build) the program is not using Miniconda, but the System Python, so it doesn't find the right libraries:
Python 2.7.5 (default, Mar 9 2014, 22:15:05) [GCC 4.2.1 Compatible Apple LLVM 5.0 (clang-500.0.68)] on darwin >>> Traceback (most recent call last): File "<string>", line 1, in <module> File "/Users/Jorge/Projects/BWH/Slicer-Superbuild-Conda/Slicer-build/lib/Slicer-4.4/qt-scripted-modules/SimpleFilters.py", line 3, in <module> import SimpleITK as sitk File "/Library/Python/2.7/site-packages/SimpleITK-0.9.0.dev656-py2.7-macosx-10.9-intel.egg/SimpleITK/__init__.py", line 1, in <module> from .SimpleITK import * File "/Library/Python/2.7/site-packages/SimpleITK-0.9.0.dev656-py2.7-macosx-10.9-intel.egg/SimpleITK/SimpleITK.py", line 28, in <module> _SimpleITK = swig_import_helper() File "/Library/Python/2.7/site-packages/SimpleITK-0.9.0.dev656-py2.7-macosx-10.9-intel.egg/SimpleITK/SimpleITK.py", line 24, in swig_import_helper _mod = imp.load_module('_SimpleITK', fp, pathname, description) ImportError: dlopen(/Library/Python/2.7/site-packages/SimpleITK-0.9.0.dev656-py2.7-macosx-10.9-intel.egg/SimpleITK/_SimpleITK.so, 2): Library not loaded: libSimpleITKBasicFilters12-0.9.1.dylib Referenced from: /Library/Python/2.7/site-packages/SimpleITK-0.9.0.dev656-py2.7-macosx-10.9-intel.egg/SimpleITK/_SimpleITK.so Reason: image not found
So, in order that the system works, Slicer must be started from a terminal running the file Slicer-Superbuild-Conda/Slicer-build/Slicer
Linux
- Download the source code in https://github.com/jonieva/Slicer/tree/Conda
- Build Slicer normally, except for the setting Slicer_USE_CONDA_python. Example:
cmake \ '''-DSlicer_USE_CONDA_python:BOOL=ON''' \ -DCMAKE_BUILD_TYPE:STRING=Debug \ -DQT_QMAKE_EXECUTABLE:FILEPATH=/usr/bin/qmake \ -DSlicer_BUILD_CLI:BOOL=OFF \ -DSlicer_USE_PYTHONQT_WITH_TCL:BOOL=OFF \ ../Slicer
Different approach
2015-02-04 - Steve Pieper
The following worked for me (Steve Pieper, 2015-02-04) using ubuntu 13.10 and miniconda 3.8.4-py27_0
cmake \ -DCMAKE_BUILD_TYPE:STRING=Debug \ -DQT_QMAKE_EXECUTABLE:FILEPATH=/usr/bin/qmake \ -DPYTHON_EXECUTABLE:FILEPATH=${HOME}/miniconda/bin/python \ -DPYTHON_INCLUDE_DIR:PATH=${HOME}/miniconda/include/python2.7 \ -DPYTHON_LIBRARY:FILEPATH=${HOME}/miniconda/lib/libpython2.7.so \ -DSlicer_BUILD_CLI:BOOL=OFF \ -DSlicer_USE_PYTHONQT_WITH_TCL:BOOL=OFF \ ../Slicer make -j20 export PYTHONHOME=${USER}/miniconda ./Slicer-build/Slicer
But after it ran there was slicer's build of numpy inside miniconda, so I needed to do this:
bin/conda uninstall numpy bin/conda install numpy
I tried using this:
-DSlicer_USE_SYSTEM_NUMPY:BOOL=ON
but got this error:
... -- SuperBuild - CTKAPPLAUNCHER[OK] (SYSTEM) CMake Error at SuperBuild/External_CTKAPPLAUNCHER.cmake:21 (message): Enabling Slicer_USE_SYSTEM_CTKAPPLAUNCHER is not supported ! Call Stack (most recent call first): CMake/ExternalProjectDependency.cmake:561 (include) SuperBuild/External_python.cmake:21 (ExternalProject_Include_Dependencies) CMake/ExternalProjectDependency.cmake:561 (include) SuperBuild/External_VTKv6.cmake:11 (ExternalProject_Include_Dependencies) CMake/ExternalProjectDependency.cmake:561 (include) SuperBuild/External_teem.cmake:11 (ExternalProject_Include_Dependencies) CMake/ExternalProjectDependency.cmake:561 (include) CMake/ExternalProjectDependency.cmake:607 (ExternalProject_Include_Dependencies) SuperBuild.cmake:320 (ExternalProject_Include_Dependencies) CMakeLists.txt:599 (include)
-- Configuring incomplete
2015-03-02 - Jc
2015-03-02(Jc): To simplify even further, using Slicer >= r24007, the following is expected to work. It is not needed to manually remove Numpy.
This is achieved by specifying -DSlicer_USE_SYSTEM_NUMPY:BOOL=1
and also by specifying all dependencies of NUMPY (python, zlib, OpenSSL and CTKAPPLAUNCHER) should not be expected on the system.
Note also that since I built Qt against the latest version of OpenSSL in the 1.0.1 series, I explicitly add -DOPENSSL_DOWNLOAD_VERSION:STRING=1.0.1l
QT_QMAKE_EXECUTABLE=/home/jcfr/Support/qt-everywhere-opensource-release-build-4.8.6/bin/qmake CONDA_ROOT=/home/jcfr/Projects/sandbox cmake \ -DCMAKE_BUILD_TYPE:STRING=Release \ -DQT_QMAKE_EXECUTABLE:FILEPATH=${QT_QMAKE_EXECUTABLE} \ -DPYTHON_EXECUTABLE:FILEPATH=${CONDA_ROOT}/miniconda/bin/python \ -DPYTHON_INCLUDE_DIR:PATH=${CONDA_ROOT}/miniconda/include/python2.7 \ -DPYTHON_LIBRARY:FILEPATH=${CONDA_ROOT}/miniconda/lib/libpython2.7.so \ -DSlicer_USE_PYTHONQT_WITH_OPENSSL:BOOL=1 \ -DOPENSSL_DOWNLOAD_VERSION:STRING=1.0.1l \ -DSlicer_USE_SYSTEM_CTKAPPLAUNCHER:BOOL=0 \ -DSlicer_USE_SYSTEM_OpenSSL:BOOL=0 \ -DSlicer_USE_SYSTEM_zlib:BOOL=0 \ -DSlicer_USE_SYSTEM_python:BOOL=0 \ -DSlicer_USE_SYSTEM_NUMPY:BOOL=1 \ -DSlicer_BUILD_CLI:BOOL=OFF \ -DSlicer_USE_PYTHONQT_WITH_TCL:BOOL=OFF \ ../Slicer nice make -j4
Windows
Although the code in https://github.com/jonieva/Slicer/tree/Conda should work with Windows too (using the setting Slicer_USE_CONDA_python=ON), it has not been tested at the moment.
Compile Slicer and python 2.7.10 + drop in conda binary packages
Initial experiments
TBD
Next steps
Phase 1
Copied from the conclusion of the Developer hangout of March 24th 2015
- Python conda - next steps:
- Create External_miniconda.cmake
- Add a variable named EXTERNAL_PYTHON_NAME that could take two values: python or miniconda
- In the SuperBuild.cmake, an option named EXTERNAL_PYTHON_NAME could be added. By default, it would be set to "python" but could switch to "miniconda"
- Projects like External_{CTK, VTK}.cmake would be updated to depend on ${EXTERNAL_PYTHON_NAME}
- For now, let's consider only the case OpenSSL disabled.
See https://github.com/jcfr/Slicer/tree/slicer-miniconda
Phase 2
TBD