run_sim_py.bash

#!/bin/bash

CURDIR=$(cd $(dirname $0);pwd)
LOGDIR=${CURDIR}/log

mkdir -p ${LOGDIR}

HOPNET=hopnet_dynamics.py
PYTHON=$(which python)

N_NEURONS=1000   # The number of neurons
N_PATTERNS=80   # The maximum number of patterns
N_STEPS=25
SELF_CONNECT=False

for i in 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0.6 0.7 0.8 0.9; do
    LOG_FILE=log_${i}.txt
    echo -n "Initial similarity ${i} ... "
    ${PYTHON} ${CURDIR}/${HOPNET} --num_neurons ${N_NEURONS} \
              --num_patterns ${N_PATTERNS} \
              --num_steps ${N_STEPS} \
              --similarity ${i} \
              --self_connection ${SELF_CONNECT} \
              --log_file ${LOGDIR}/${LOG_FILE}
    echo "done"
done