#!/usr/bin/env bash
# Wenchang Yang (wenchang@princeton.edu)
# Mon Mar  6 11:09:58 EST 2023
##SBATCH --nodes=1                # node count
##SBATCH --ntasks-per-node=1      # number of tasks per node
# 
#SBATCH --ntasks=1               # total number of tasks across all nodes = nodes x ntasks-per-node
#SBATCH --cpus-per-task=1        # cpu-cores per task (>1 if multi-threaded tasks)
#SBATCH --mem-per-cpu=16G         # memory per cpu-core (4G is default)
#SBATCH --time=24:00:00          # total run time limit (HH:MM:SS)
#SBATCH --mail-type=all          # send email when job begins/ends/fails
#SBATCH --mail-user=wenchang@princeton.edu
# 
##SBATCH --array=1-100#%32        # job array with index values 1, 2, ...,; max job # is 32 if specified
##SBATCH --output=slurm-%A.%a.out # stdout file
##SBATCH --error=slurm-%A.%a.err  # stderr file
set -ve
##env settings
#export PATH=/tigress/wenchang/miniconda3/bin:$PATH
#export PYTHONPATH=/tigress/wenchang/wython
#export PYTHONUNBUFFERED=TRUE # see https://stackoverflow.com/questions/230751/how-to-flush-output-of-print-function
#export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK #for multi-threaded job
#ii_job=$SLURM_ARRAY_TASK_ID #for job array
model=AM2.5
#danames="t_surf precip"
danames=precip
#danames=t_surf
funcname=annualmean

for daname in $danames; do
    for expname in \
        CTL1990s_tigercpu_intelmpi_18_540PE; do
        #CTL1860_florSST_tigercpu_intelmpi_18_540PE \
        #CTL1860_florSST_plus2K_tigercpu_intelmpi_18_540PE \
        #CTL1860_florSST_plus2Ktrop_tigercpu_intelmpi_18_540PE \
        #CTL1860_florSST_plus2Kextr_tigercpu_intelmpi_18_540PE; do 
        #CTL1860_florSST_2xCO2_tigercpu_intelmpi_18_540PE; do 
        #CTL1860_florSST_solar2pctplus_tigercpu_intelmpi_18_540PE; do
        #CTL1860_florSST_minus2K_tigercpu_intelmpi_18_540PE \
        #CTL1990s_plusSSTA2xCO2_mclim0101-0130_tigercpu_intelmpi_18_540PE \
        #CTL1990s_plusSSTA2xCO2_mclim0571-0600_tigercpu_intelmpi_18_540PE; do
        #CTL1990s_plus2K_tigercpu_intelmpi_18_540PE \
        #CTL1990s_plus4K_tigercpu_intelmpi_18_540PE \
        #CTL1990s_minus2K_tigercpu_intelmpi_18_540PE \
        #CTL1990s_minus4K_tigercpu_intelmpi_18_540PE \
        #CTL1990s_2xCO2_tigercpu_intelmpi_18_540PE \
        #CTL1990s_plus2K_2xCO2_tigercpu_intelmpi_18_540PE; do
        #CTL1990s_pluslogistic1kat28C_tigercpu_intelmpi_18_540PE \
        #CTL1990s_plusinvlogistic1kat28C_tigercpu_intelmpi_18_540PE \
        #CTL1990s_plusNina_mclim_tigercpu_intelmpi_18_540PE \
        #CTL1990s_plusNino_mclim_tigercpu_intelmpi_18_540PE; do
        #CTL1990s_solar1pctplus_tigercpu_intelmpi_18_540PE \
        #CTL1990s_solar2pctplus_tigercpu_intelmpi_18_540PE \
        #CTL1990s_solar2pctminus_tigercpu_intelmpi_18_540PE \
        #CTL1990s_p5xCO2_tigercpu_intelmpi_18_540PE \
        nohup python -m modelout.getdata daname=$daname model=$model expname=$expname funcname=$funcname update >> nohup.out.${daname}.${model}.${expname}.${funcname}.log &
    done
done