network_validation/spade_analysis/Snakefile

# This Snakefile run the SPADE analysis for all the possible configurations of simulators and hours from which the simulated spike data where recorded
simulators = ['SpiNNaker', 'C']
hours = range(1,6)

# Summoning all the output files
rule all:
    input:
        expand('patterns_results/iteration_III/60s_simulation_runs/{simulator}/out_firings_after{hour}h/patterns.npy', simulator=simulators, hour=hours),
        expand('../simulation_data/iteration_III/60s_simulation_runs/{simulator}/out_firings_after{hour}h.dat', simulator=simulators, hour=hours)

# Tocken rule to check the simulated data exist
rule check_data:
    output:
        protected('../simulation_data/iteration_III/60s_simulation_runs/{simulator}/out_firings_after{hour}h.dat')
        
# Rule to pass to spade_analysis.py all the combinations of the parameters simulator and hour
rule analyze_data:
    input:
        data=protected('../simulation_data/iteration_III/60s_simulation_runs/{simulator}/out_firings_after{hour}h.dat'),
        script='spade_analysis.py'
    output:
        'patterns_results/iteration_III/60s_simulation_runs/{simulator}/out_firings_after{hour}h/patterns.npy'
    shell:
        'python spade_analysis.py {wildcards.simulator} {wildcards.hour}'