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Merge pull request #479 from SpheMakh/new-wsclean-release
New upstream release version 2.8
2 parents 2a50903 + 088a159 commit c461daa

3 files changed

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stimela/cargo/base/wsclean/Dockerfile

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@@ -25,10 +25,10 @@ RUN docker-apt-install cmake \
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liblog4cplus-dev \
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libhdf5-dev \
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casacore-dev
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RUN wget https://tenet.dl.sourceforge.net/project/wsclean/wsclean-2.7/wsclean-2.7.tar.bz2
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RUN tar xvf wsclean-2.7.tar.bz2
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RUN mkdir wsclean-2.7/build
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RUN cd wsclean-2.7/build && \
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RUN wget https://tenet.dl.sourceforge.net/project/wsclean/wsclean-2.8/wsclean-2.8.tar.bz2
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RUN tar xvf wsclean-2.8.tar.bz2
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RUN mkdir wsclean-2.8/build
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RUN cd wsclean-2.8/build && \
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cmake .. -DPORTABLE=Yes -DCMAKE_BUILD_TYPE=Release && \
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make -j 10 && \
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make install

stimela/cargo/cab/wsclean/Dockerfile

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FROM stimela/wsclean:1.2.0
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FROM stimela/wsclean:1.2.3
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MAINTAINER <sphemakh@gmail.com>
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ADD src /scratch/code
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ENV LOGFILE ${OUTPUT}/logfile.txt

stimela/cargo/cab/wsclean/parameters.json

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{
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"task": "wsclean",
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"base": "stimela/wsclean",
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"tag": "1.2.0",
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"tag": "1.2.3",
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"description": "WSClean imaging software",
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"prefix": "-",
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"binary": "wsclean",
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"dtype": "bool",
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"default": false,
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"name": "savesourcelist",
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"mapping": "-save-source-list"
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"mapping": "save-source-list"
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},
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{
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"info": "list of model components from wsclean",
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"dtype": "bool",
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"default": false,
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"name": "predict",
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"mapping": "-predict"
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"mapping": "predict"
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},
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{
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"info": "Noise image to compute sigma for stopping threshold (in case specified it will replace threshold)",
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"dtype": "float",
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"default": 3.0,
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"name": "noise-sigma"
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},
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{
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"info": "Use a mask that avoids cleaning emission beyond the horizon. Distance is an angle (e.g. '5deg') that (when positive) decreases the size of the mask to stay further away from the horizon",
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"dtype": "str",
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"default": null,
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"name": "horizontal-mask"
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},
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{
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"info": "Enabled direct allocation, which changes memory usage. Not recommended for general usage, but when using extremely large images that barely fit in memory it might improve memory usage in rare cases",
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"dtype": "bool",
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"default": null,
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"name": "direct-allocation"
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},
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{
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"info": "Deconvolve subimages in parallel. Subimages will be at most of the given size",
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"dtype": "int",
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"default": null,
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"name": "parallel-deconvolution"
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}
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]
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}
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}

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