added prompts

Author: codegithubka

docs/HPC_GUIDE.md

@@ -19,6 +19,10 @@ pip install numpy scipy matplotlib joblib
 
 python3 pp_analysis.py --mode full --dry-run
 
+# For async run
+
+python3 pp_analysis.py --mode full --output results_${SLURM_JOB_ID} --cores $SLURM_CPUS_PER_TASK --async
+
 # To submit a job
 
 sbatch run_analysis.sh

docs/prompts.md

@@ -568,7 +568,6 @@ Made large changes to multiple functions. See git commit for details.
 
 ### Testing CA class
 
-
 1. Create a comprehensive testing suite for the CA and PP classes. Test initialization, async update changes, synchronous update changes, prey growth in isolation behavior, predator starvation, parameter evolution and long run dynamics. Also make sur ethe test_viz mehtod works as desired
 
 ### Parameter Sweep and PP Class Analysis
@@ -577,3 +576,8 @@ Made large changes to multiple functions. See git commit for details.
 
 3. Create a config class adjustable depending on the CPU budget. We want to run a prey_birth vs. predator_death parameter sweep (2D), quantify the hydra effect using the derivative, search for the critical point (power law relartionship paramameter), quantify evolution sensitivity and analyze finite grid size scaling. Include script options for cost optimal runs as well. Make sure to have a summary of collected data stored for reference and future usage.
 
+
+4. Add configuration option to run the asynchronous version of the CA class. The synchronous functionality should also be preserved. Provide me with a small smoke test to see if the updated file runs as expected.
+
+5. Create a minimal bash script for Snellius. Use the rome configiuration.
+

pp_analysis.py

@@ -256,7 +256,7 @@ def run_single_simulation(
         neighborhood="moore",
         params=params,
         seed=seed,
-        syncrhonous = cfg.synchronous # Use synchronous/async updates
+        synchronous = cfg.synchronous # Use synchronous/async updates
     )
 
     if with_evolution:

run_analysis.sh

@@ -4,7 +4,7 @@
 #SBATCH --nodes=1
 #SBATCH --ntasks=1
 #SBATCH --cpus-per-task=32
-#SBATCH --time=04:00:00
+#SBATCH --time=08:00:00
 #SBATCH --mem=32G
 #SBATCH --output=pp_analysis_%j.out
 #SBATCH --error=pp_analysis_%j.err
@@ -40,7 +40,6 @@ echo "========================================"
 # Environment Setup
 # -----------------------------------------------------------------------------
 
-# Load modules (adjust to your Snellius setup)
 # Load modules (adjust to your Snellius setup)
 source ~/snellius_venv/bin/activate
 
@@ -70,6 +69,9 @@ python3 pp_analysis.py \
     --output $OUTPUT_DIR \
     --cores $SLURM_CPUS_PER_TASK
 
+# For asynchronous execution (uncomment if needed)
+#python3 pp_analysis.py --mode full --output $OUTPUT_DIR --cores $SLURM_CPUS_PER_TASK --async
+
 # -----------------------------------------------------------------------------
 # Completion
 # -----------------------------------------------------------------------------