Newer
Older
Juan Escobar
committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
#MNH_LIC Copyright 1994-2021 CNRS, Meteo-France and Universite Paul Sabatier
#MNH_LIC This is part of the Meso-NH software governed by the CeCILL-C licence
#MNH_LIC version 1. See LICENSE, CeCILL-C_V1-en.txt and CeCILL-C_V1-fr.txt
#MNH_LIC for details. version 1.
#
# Written by : Juan ESCOBAR , for the Meso-NH Support , 16/07/2021
#
###############################################################################################
# #
# How to install the python package needed for the new graphic script of the version MNH-55X #
# test case with "conda" or "miniconda" #
# #
###############################################################################################
#
# MAP
#
# I) Installation from Scratch , on your PC for example
# a) Installation of mini-conda
# b) Creation of the conda environmenent "mnh_conda_cartopy_offlinedata"
# c) Using the environment with mesonh
# d) Optional: export the environment with "conda pack"
#
# OR
#
# II) Installation from a packed tar.gz file, created with "conda pack"
# for Linux Supercomputer without internet connection
# I) Installation from scratch, on your PC for example
# =======================================================
# I- a) Installation of mini-conda
----------------------------------
# If you don't have already the "conda" command in your PC
# first install "miniconda"
# Creation of the install directory, for example in your $HOME :
export MNH_MINICONDA=${HOME}/MINICONDA
mkdir -p ${MNH_MINICONDA}
cd ${MNH_MINICONDA}
# get/install the last version of miniconda for X64 ( here with python 3.9 )
wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.9.2-Linux-x86_64.sh
bash Miniconda3-py39_4.9.2-Linux-x86_64.sh
# during the installation
# - accept the licence -> yes
# - give the path of installation > #path -> /home/{your_login}/MINICONDA/miniconda3
Juan Escobar
committed
# when installed initialization of miniconda
source ${MNH_MINICONDA}/miniconda3/etc/profile.d/conda.sh
# REM : the other solution is via "conda init bash" which changes the "~/.bashrc"
# but I don't like it ...
# I- b) Creation of the conda environment "mnh_conda_cartopy_offlinedata"
---------------------------------------------------------------------------
#
# Now , creation of the conda environment "mnh_conda_cartopy_offlinedata"
# /!\ about 3Go of disk space are needed
#
conda create -n mnh_conda_cartopy_offlinedata
conda activate mnh_conda_cartopy_offlinedata
conda install -c conda-forge netcdf4 cartopy matplotlib
Juan Escobar
committed
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
#
# this is the minimum packages needed for the MesoNH script of the test cases
#
#
# for computer without internet connection ( for example compute nodes of super computers )
# you could add this package to download in advance cartopy data files
#
conda install -c conda-forge cartopy_offlinedata
# REM : this files add about 2OO Mo and are located in "$CONDA_PREFIX/share/cartopy"
( CONDA_PREFIX is set when you initialize/ source the (mini)conda command
# I-c) Using the environment with mesonh
-----------------------------------------
#
# Now to use this conda environment with MesoNH , the best way is to put
# these lines at the end of your "profile_mesonh{the_good_one}"
#
export MNH_MINICONDA=${HOME}/MINICONDA
source ${MNH_MINICONDA}/miniconda3/etc/profile.d/conda.sh
conda activate mnh_conda_cartopy_offlinedata
# and then use mesonh as usual by sourcing this file
cd .../MNH.../conf
. profile_mesonh{the_good_one}
# I-d) Optional: export the environment with "conda pack"
-----------------------------------------------------------
#
# After this, if you were to export your binary installation in a "tar.gz" file to another 'compatible' computer
# first add the 'conda-pack' package
conda install -c conda-forge conda-pack
# And now export the environment with
conda pack -n mnh_conda_cartopy_offlinedata -o mnh_conda_cartopy_offlinedata.tar.gz
# II) Installation from a packed tar.gz file , created with "conda pack"
# for Linux Supercomputer without internet connection
=========================================================
#
# On Supercomputer without internet connection , like TGCC/CEA Irene or CINES/Occigen
# you could not install package with the conda command.
# As a work-around you could download and use a "tar.gz" as prepared on my Linux OpenSuse PC .
# ( as explained in the previous sessions )
#
# REM : you don't need to load any 'module files' like python to do this work-around
# <-> no conda/python needed in your PATH
# First, on your PC computer download the "tar.gz" I prepared and uploaded on the MesoNH web page
wget http://mesonh.aero.obs-mip.fr/mesonh/tmp/MINICONDA/mnh_conda_cartopy_offlinedata.tar.gz
# Then, to use it for example on Irene or Occigen computer
# Copy the "tar.gz" for you PC to Super computer in $CCCWORKDIR (or $WORKDIR ) :
# From your PC
scp mnh_conda_cartopy_offlinedata.tar.gz irene:.
# On Irene
cd $CCCWORKDIR
mv ~/mnh_conda_cartopy_offlinedata.tar.gz $CCCWORKDIR/.
mkdir mnh_conda_cartopy_offlinedata
tar xvf mnh_conda_cartopy_offlinedata.tar.gz -C mnh_conda_cartopy_offlinedata
Juan Escobar
committed
# Activation of the package, for example at the end of your "profile_mesonh{the_good_one}
source $CCCWORKDIR/mnh_conda_cartopy_offlinedata/bin/activate
# That's all, you can now use the packages included in the "tar.gz"
#/!\
#/!\ Warning: you don't have "conda" so you cannot modify this installation/package .
#/!\
Good tests .