#!/bin/bash
#SBATCH -n 2                # Number of cores (-n)
#SBATCH -N 1                # Ensure that all cores are on one Node (-N)
#SBATCH -t 0-02:00          # Runtime in D-HH:MM, minimum of 10 minutes
#SBATCH -p shared   # Partition to submit to
#SBATCH --mem=32000           # Memory pool for all cores (see also --mem-per-cpu)
#SBATCH --array=1-12           # Memory pool for all cores (see also --mem-per-cpu)
#SBATCH -o /n/home11/mjzhang/gwas_informed_scRNAseq/scDRS/experiments/job_info/job_%A_%a.out # Standard output
#SBATCH -e /n/home11/mjzhang/gwas_informed_scRNAseq/scDRS/experiments/job_info/job_%A_%a.err # Standard error

I_LINE=$SLURM_ARRAY_TASK_ID
# I_LINE=12
DNAME=tms_facs.ncell_10k

DATA_PATH=/n/holystore01/LABS/price_lab/Users/mjzhang/scDRS_data/simulation_data
GS_NAME=$(head -n $I_LINE ${DATA_PATH}/simu_list.txt | tail -n 1)
GS_FILE=${DATA_PATH}/gs_file/${GS_NAME}.gs
H5AD_FILE=${DATA_PATH}/single_cell_data/${DNAME}.h5ad
COV_FILE=/n/holystore01/LABS/price_lab/Users/mjzhang/scDRS_data/tabula_muris_senis/tms_facs.cov

OUT_FOLDER=${DATA_PATH}/score_file/result_scanpy/${DNAME}.${GS_NAME}

[ -d ${OUT_FOLDER} ] || mkdir ${OUT_FOLDER}

python3 /n/home11/mjzhang/gwas_informed_scRNAseq/scDRS/compute_score_scanpy.py \
    --h5ad_file $H5AD_FILE\
    --h5ad_species mouse\
    --cov_file $COV_FILE\
    --gs_file $GS_FILE\
    --gs_species mouse\
    --flag_filter True\
    --flag_raw_count True\
    --flag_return_ctrl_raw_score False\
    --flag_return_ctrl_norm_score False\
    --out_folder $OUT_FOLDER
