/
configure_runs_for_hpc.py
286 lines (269 loc) · 9.51 KB
/
configure_runs_for_hpc.py
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import os
import shutil, errno
import time
simulations = [
{
"name": "oct_10_control",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": 0,
"reservoirAssessmentNoise": 0,
"genomeLookupNoise": 0,
"useSignals": False,
},
{
"name": "oct_10_signals",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": 0,
"reservoirAssessmentNoise": 0,
"genomeLookupNoise": 0,
"useSignals": True,
},
{
"name": "oct_10_signals_neighbor_noise_low",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": .02,
"reservoirAssessmentNoise": 0,
"genomeLookupNoise": 0,
"useSignals": True,
},
{
"name": "oct_10_signals_neighbor_noise_med",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": .05,
"reservoirAssessmentNoise": 0,
"genomeLookupNoise": 0,
"useSignals": True,
},
{
"name": "oct_10_signals_neighbor_noise_high",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": .1,
"reservoirAssessmentNoise": 0,
"genomeLookupNoise": 0,
"useSignals": True,
},
{
"name": "oct_10_signals_reservoir_noise_low",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": 0,
"reservoirAssessmentNoise": .02,
"genomeLookupNoise": 0,
"useSignals": True,
},
{
"name": "oct_10_signals_reservoir_noise_med",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": 0,
"reservoirAssessmentNoise": .05,
"genomeLookupNoise": 0,
"useSignals": True,
},
{
"name": "oct_10_signals_reservoir_noise_high",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": 0,
"reservoirAssessmentNoise": .1,
"genomeLookupNoise": 0,
"useSignals": True,
},
{
"name": "oct_10_signals_genome_noise_low",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": 0,
"reservoirAssessmentNoise": 0,
"genomeLookupNoise": .02,
"useSignals": True,
},
{
"name": "oct_10_signals_genome_noise_med",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": 0,
"reservoirAssessmentNoise": 0,
"genomeLookupNoise": .05,
"useSignals": True,
},
{
"name": "oct_10_signals_genome_noise_high",
"runs": 10,
"onlyInfinite": False,
"onlyFinite": False,
"useReservoirsAsInputs": False,
"onlyUseSizeAsFitness": False,
"targetSize": 400,
"targetAspectRatio": 5,
"useConsistency": True,
"boardWidth": 100,
"populationSize": 250,
"neighborAssessmentNoise": 0,
"reservoirAssessmentNoise": 0,
"genomeLookupNoise": .1,
"useSignals": True,
}
]
# Make a new file for each simulation
def copy_file_or_dir(src, dst):
try:
shutil.copytree(src, dst)
except OSError as exc: # python >2.5
if exc.errno in (errno.ENOTDIR, errno.EINVAL):
shutil.copy(src, dst)
else: raise
for s in simulations:
# Create new simulation folder
copy_file_or_dir("simulation", "simulations/" + s["name"])
# Create the hyperparameter file
new_hp_name = "simulations/" + s["name"] + "/hyperParameters.py"
copy_file_or_dir("hyperParameters.py", new_hp_name)
# Configure the hyperparameters.
c_file = open(new_hp_name, "r")
list_of_lines = c_file.readlines()
for i, l in enumerate(list_of_lines):
if l[:7] == "onlyInf":
list_of_lines[i] = "onlyInfinite = "+ str(s["onlyInfinite"]) + " # hp in script\n"
elif l[:7] == "onlyFin":
list_of_lines[i] = "onlyFinite = " + str(s["onlyFinite"]) + " # hp in script\n"
elif l[:7] == "useRese":
list_of_lines[i] = "useReservoirsAsInputs = " + str(s["useReservoirsAsInputs"]) + " # hp in script\n"
elif l[:7] == "onlyUse":
list_of_lines[i] = "onlyUseSizeAsFitness = " + str(s["onlyUseSizeAsFitness"]) + " # hp in script\n"
elif l[:10] == "targetSize":
list_of_lines[i] = "targetSize = " + str(s["targetSize"]) + " # hp in script\n"
elif l[:10] == "targetAspe":
list_of_lines[i] = "targetAspectRatio = " + str(s["targetAspectRatio"]) + " # hp in script\n"
elif l[:10] == "useConsist":
list_of_lines[i] = "useConsistency = " + str(s["useConsistency"]) + " # hp in script\n"
elif l[:10] == "boardWidth":
list_of_lines[i] = "boardWidth = " + str(s["boardWidth"]) + " # hp in script\n"
elif l[:10] == "population":
list_of_lines[i] = "populationSize = " + str(s["populationSize"]) + " # hp in script\n"
elif l[:23] == "neighborAssessmentNoise":
list_of_lines[i] = "neighborAssessmentNoise = " + str(s["neighborAssessmentNoise"]) + " # hp in script\n"
elif l[:24] == "reservoirAssessmentNoise":
list_of_lines[i] = "reservoirAssessmentNoise = " + str(s["reservoirAssessmentNoise"]) + " # hp in script\n"
elif l[:17] == "genomeLookupNoise":
list_of_lines[i] = "genomeLookupNoise = " + str(s["genomeLookupNoise"]) + " # hp in script\n"
elif l[:10] == "useSignals":
list_of_lines[i] = "useSignals = " + str(s["useSignals"]) + " # hp in script\n"
c_file = open(new_hp_name, "w")
c_file.writelines(list_of_lines)
c_file.close()
time.sleep(0.5)
for r_index in range(s["runs"]):
# Create a new driver for each run
new_driver_name = "simulations/" + s["name"] + "/driver" + str(r_index) + ".py"
copy_file_or_dir("driver.py", new_driver_name)
# Edit the driver file
a_file = open(new_driver_name, "r")
list_of_lines = a_file.readlines()
for i, l in enumerate(list_of_lines):
if l[:3] == "dst":
list_of_lines[i] = "dst = \"/cluster/home/psmile01/simulations/" + s["name"] + "/data/r" + str(r_index) + ".json\""
a_file = open(new_driver_name, "w")
a_file.writelines(list_of_lines)
a_file.close()
# Create a new submit file for each run
new_submit_name = "simulations/" + s["name"] + "/submit" + str(r_index) + ".sh"
copy_file_or_dir("submit.sh", new_submit_name)
time.sleep(0.5)
# Edit the submit file
b_file = open(new_submit_name, "r")
list_of_lines = b_file.readlines()
for i, l in enumerate(list_of_lines):
if l[:3] == "pyt":
list_of_lines[i] = "python3 /cluster/home/psmile01/" + new_driver_name
b_file = open(new_submit_name, "w")
b_file.writelines(list_of_lines)
b_file.close()
# Run the submit file.
run_submit_command = "sbatch " + new_submit_name
os.system(run_submit_command)