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other:uvcdat:cdat_conda:cdat_8_2_1 [2021/03/03 14:27]
jypeter [Downloading cdms2/vcs test data]
other:uvcdat:cdat_conda:cdat_8_2_1 [2021/03/08 15:35]
jypeter [Updating conda]
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-====== CDAT 8.2.1 installation ​notes ======+====== ​Python distribution based on CDAT 8.2.1 notes ======
  
 [ [[.:​index|Back to all versions]] ] [ [[.:​index|Back to all versions]] ]
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 ===== Using JYP version ===== ===== Using JYP version =====
  
-If you mostly want to use the CDAT 8.2.1 installed by JYP, just use the following steps and then read the //What should I do now?// section below+If you mostly want to use the **python distribution based on CDAT 8.2.1** installed by JYP, just use the following steps and then read the [[#​what_should_i_do_now|What should I do now?]] section below
  
   * Initialize //conda// with:   * Initialize //conda// with:
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     * python 3.x: ''​conda activate cdatm_py3''​     * python 3.x: ''​conda activate cdatm_py3''​
  
-  * Type ''​which python''​ (or the ''​wp''​ alias) and make sure you get something like\\ ''​[...]/​miniconda3/​envs/​env_name/​bin/​python''​+  * Type ''​which python''​ (or the ''​wp''​ alias) and make sure you get something ​looking ​like 
 +    * ''​[...]/​miniconda3<​possibly_some_version>/​envs/<​some_env_name>/​bin/​python''​ 
 +    * e.g. ''​cdatm_py3''​ environment at LSCE:\\ ''/​home/​share/​unix_files/​cdat/​miniconda3_21-02/envs/cdatm_py3/​bin/​python''​
  
  
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 ==== You want to replicate this installation on your own server or desktop/​laptop ==== ==== You want to replicate this installation on your own server or desktop/​laptop ====
  
 +Read the following sections of this web page
 +
 +There are some slight differences if you want to install this distribution:​
 +  * just for you. This is the usual case. Well, if you break something you can always remove everything and start from scratch
 +  * for sharing a stable version with several other people
 +
 +The notes at the beginning of each section will tell you if you can skip the section if you are just installing for you
 ===== What's New in CDAT 8.2.1? ===== ===== What's New in CDAT 8.2.1? =====
  
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   * Full [[https://​uvcdat.llnl.gov/​changelog.html#​8.2.1|Change log]]   * Full [[https://​uvcdat.llnl.gov/​changelog.html#​8.2.1|Change log]]
  
-Note: this particular CDAT installation at LSCE (and on other machines/​servers) provides **many extra (non-CDAT) packages**. You can jump directly to the [[#​extra_packages_list|Extra package list]] at the bottom of this page to see what is available+Note: this particular CDAT installation at LSCE (and on other machines/​servers) provides **many extra (non-CDAT) packages**. You can jump directly to the [[#​extra_packages_list|Extra package list]] at the bottom of this page, if you want to see what is available
  
 ===== Installation with Miniconda3 ===== ===== Installation with Miniconda3 =====
  
-We assume that Miniconda3 is already installed. Otherwisefollow the the [[other:​uvcdat:​cdat_conda:​cdat_8_0_py2#​installing_miniconda3|Installing Miniconda]] ​steps (and the //​Post-Miniconda3 installation//​ section) we followed when installing ​CDAT 8.0+==== Installing ​Miniconda3 ​==== 
 + 
 +If //​Miniconda3// ​is not already installed, ​or if you want to start over with a brand new version, read [[other:​uvcdat:​cdat_conda:​miniconda3_install|JYP steps for installing ​Miniconda3]].
  
-==== Updating conda ==== 
  
-The conda package itself can be updated (if need be) with\\ ''​conda update -n base -c defaults conda''​ 
  
 ==== Installing CDAT 8.2.1 ==== ==== Installing CDAT 8.2.1 ====
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 The installation line below is based on information from the [[https://​github.com/​CDAT/​cdat/​wiki/​install#​for-linux-python|CDAT wiki page]]. See also [[https://​github.com/​CDAT/​cdat/​issues/​2265|Some questions and notes about 8.2.1 installation]] The installation line below is based on information from the [[https://​github.com/​CDAT/​cdat/​wiki/​install#​for-linux-python|CDAT wiki page]]. See also [[https://​github.com/​CDAT/​cdat/​issues/​2265|Some questions and notes about 8.2.1 installation]]
  
 +<​code>​
 +bash-4.2$ conda config --env --add channels conda-forge
 +bash-4.2$ conda config --set channel_priority strict
 +bash-4.2$ cat .condarc
 +channels:
 +  - conda-forge
 +  - defaults
 +$ conda config --describe channel_priority
 +
 +$ conda create -n cdat-8.2.1_nompi_py3 -c conda-forge -c cdat/​label/​v8.2.1 cdat "​libnetcdf=*=nompi_*"​ "​mesalib=18.3.1"​ "​python=3"</​code>​
  
 <​code>​$ conda create -n cdat-8.2.1_py3 -c conda-forge -c cdat/​label/​v8.2.1 cdat "​libnetcdf=*=mpi_openmpi_*"​ "​mesalib=18.3.1"​ "​python=3"</​code>​ <​code>​$ conda create -n cdat-8.2.1_py3 -c conda-forge -c cdat/​label/​v8.2.1 cdat "​libnetcdf=*=mpi_openmpi_*"​ "​mesalib=18.3.1"​ "​python=3"</​code>​
  
 Resulting list of installed packages Resulting list of installed packages
-  * ''​conda list -n cdat-8.2.1_py3 > cdat_8.2.1_installed_packages.txt''​ +  * ''​conda list -n cdat-8.2.1_nompi_py3 ​> cdat_8.2.1_nompi_21-03-05.txt''​ 
-  * {{ :​other:​uvcdat:​cdat_conda:​cdat_8.2.1_installed_packages.txt |}}+  * no mpi: {{ :​other:​uvcdat:​cdat_conda:​cdat_8.2.1_nompi_21-03-05.txt |}} 
 +  * with mpî: {{ :​other:​uvcdat:​cdat_conda:​cdat_8.2.1_installed_packages.txt |}}
  
 [[https://​github.com/​CDAT/​cdat/​issues/​2265|Some extra installation notes]] [[https://​github.com/​CDAT/​cdat/​issues/​2265|Some extra installation notes]]
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 </​code>​ </​code>​
  
-===== Customizing ​UV-CDAT for LSCE =====+===== Customizing CDAT for LSCE =====
  
 ==== A quick test of cdms2 and vcs ==== ==== A quick test of cdms2 and vcs ====
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 ==== Packages that have no dependency problems ==== ==== Packages that have no dependency problems ====
  
-After cloning, we are ready to install some extra packages that may be requested by LSCE users+After [[#​cloning_the_base_cdat_environment_before_adding_specific_packages_for_lsce|cloning]], we are ready to install some extra (e.g. not directly related to CDAT) packages that may be useful to LSCE users
  
-  * We first try to install together as many packages as possible that don't require other channels than //​conda-forge//,​ and that don't request a downgrade of what is already installed +  * We first install together as many packages as possible that don't require other channels than //​conda-forge//,​ and that don't request a significant ​downgrade of what is already installed 
-  * We then install individual extra packages with ''​conda install''​ or ''​pip install''​+    * We use the //dry-run// option of conda in order to check the version (theoretically the latest) and origin (theoretically //​conda-forge//​) of the packages that would be installed. Or maybe the result will be that there are too many conflicts and the installation cannot proceed with the requested packages combination 
 +    * conda may take a very long time to report that there are too many conflicts and we have started using [[https://​github.com/​mamba-org/​mamba|mamba]] that uses different solving libraries and is much (**much!**) faster than conda 
 +    * if the dry-run reports too many conflicts or requests too many downgrades, we try to remove some (not really important) packages and check if it works better 
 +      * the last resort is too create a new environment with a smaller set of packages if a user really needs a conflicting package 
 +  * We later install individual extra packages with ''​conda ​install'',​ ''​mamba ​install''​ or ''​pip install''​
  
-<​code>#​ You can use the following to keep a trace of what will be installed +=== Pre-installation check with the dry-run ​option ===
-#$ conda install --dry-run ​-n cdatm19_py3 -c conda-forge pillow pandas statsmodels seaborn scikit-image seawater gsw netcdf4 pyferret basemap-data-hires xlsxwriter cmocean rpy2 gdal windspharm ​ > somewhere/​extra_packages.txt+
  
-# Install... +<​code>/​usr/​bin/​time mamba install -n cdatm19_nompi_py3 --dry-run ​-c conda-forge ​basemap ​basemap-data-hires ​cartopy ​cmocean ​cmor ferret_datasets ​gdal gdal glances gsw iris joblib netcdf4 palettable pandas pillow pyferret rpy2 scikit-image scikit-learn seaborn seawater shapely spyder statsmodels ​windspharm ​wrf-python xarray xlsxwriter
-$ conda install -n cdatm19_py3 ​-c conda-forge ​pillow pandas statsmodels seaborn scikit-image seawater gsw netcdf4 pyferret ferret_datasets ​basemap-data-hires ​xlsxwriter ​cmocean ​rpy2 gdal windspharm +
-[...]+
  
-# Use a similar install line if you want to install the same packages ​in the python3 version</​code>​+[... lots of information about what would be done followed by some information about how long it took ...] 
 + 
 +  Summary: 
 + 
 +  Install: 167 packages 
 +  Downgrade: 3 packages 
 + 
 +  Total download: 474 MB 
 + 
 +DryRunExit: Dry run. Exiting. 
 + 
 +8.31user 0.51system 0:​11.45elapsed 77%CPU</​code>​ 
 + 
 +=== Actual installation === 
 + 
 +<​code>/​usr/​bin/​time mamba install -n cdatm19_nompi_py3 -c conda-forge basemap basemap-data-hires cartopy cmocean cmor ferret_datasets gdal gdal glances gsw iris joblib netcdf4 palettable pandas pillow pyferret rpy2 scikit-image scikit-learn seaborn seawater shapely spyder statsmodels windspharm wrf-python xarray xlsxwriter</​code>​ 
 + 
 +Resulting list of installed packages 
 +  * ''​conda list -n cdatm19_nompi_py3 > cdatm19_nompi_py3_21-03-06.txt''​ 
 +  * no mpi: {{ :​other:​uvcdat:​cdat_conda:​cdatm19_nompi_py3_21-03-06.txt |}} 
 + 
 +=== Extra packages installed with pip ===
  
-List of installed packages: {{ :​other:​uvcdat:​cdat_conda:​lsce-extra_01_install_190304.txt |}} 
  
-Packages installed with //pip// 
   * [[https://​earthsystemcog.org/​projects/​wip/​CMIP6DataRequest|dreqPy]]:​ CMIP6 Data Request Python API   * [[https://​earthsystemcog.org/​projects/​wip/​CMIP6DataRequest|dreqPy]]:​ CMIP6 Data Request Python API
     * ''​conda activate cdatm19_py3''​\\ ''​pip install dreqPy''​     * ''​conda activate cdatm19_py3''​\\ ''​pip install dreqPy''​
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     * ''​conda activate cdatm19_py3''​\\ ''​pip install ferretmagic''​     * ''​conda activate cdatm19_py3''​\\ ''​pip install ferretmagic''​
  
-The following packages have no dependency problems and were installed ​(or updated) ​//later//+=== Packages with no dependency problems and were added (or updated) later === 
  
   * [[https://​cmor.llnl.gov/​|CMOR]]:​ CMOR (//Climate Model Output Rewriter//) is used to produce CF-compliant netCDF files   * [[https://​cmor.llnl.gov/​|CMOR]]:​ CMOR (//Climate Model Output Rewriter//) is used to produce CF-compliant netCDF files
other/uvcdat/cdat_conda/cdat_8_2_1.txt · Last modified: 2024/07/02 10:44 by jypeter