def run_sim(trials, memory_states):
for memory_state in memory_states:
# initialise memory.
memory = buildNetwork.initializeMemorySet()
# load a sym file.
symProps = load_sym(memory_state)
# interpret the sym file.
mysym = buildNetwork.interpretSymfile(symProps)
# build the network object with memory.
memory = basicRunDORA.dataTypes.memorySet()
memory = buildNetwork.buildTheNetwork(mysym[0], memory)
network = basicRunDORA.runDORA(memory, parameters)
# run trials of each kind ('whole', 'feature', 'relation').
correct_w = 0
correct_f = 0
correct_r = 0
start_POs = 0
tally = 0
for i in range(trials):
# run a 'whole' trial.
tally, was_correct = run_trial(network, start_POs, tally,
correct_w, 'whole')
correct_w += was_correct
# run a 'feature' trial.
tally, was_correct = run_trial(network, start_POs, tally,
correct_w, 'feature')
correct_f += was_correct
# run a 'relation' trial.
tally, was_correct = run_trial(network, start_POs, tally,
correct_w, 'relation')
correct_r += was_correct
print(tally, '\n', correct_w, '\n', correct_f, '\n', correct_r, '\n',
'\n\n\n')
def init_network(parameters):
reload(buildNetwork)
reload(basicRunDORA)
fileName = parameters['filename']
f = open(fileName, 'r')
simType = ''
d = {'simType': simType}
f.seek(0)
exec(f.readline())
if simType == 'sym_file':
symstring = ''
for line in f:
symstring += line
exec(symstring)
# initialise memory
memory = buildNetwork.initializeMemorySet()
# interpret sym file
mysym = buildNetwork.interpretSymfile(symProps)
# build the network
memory = basicRunDORA.dataTypes.memorySet()
memory = buildNetwork.buildTheNetwork(mysym[0], memory)
network = basicRunDORA.runDORA(memory, parameters)
memory = basicRunDORA.update_memory_with_levels(memory)
# run cycles
# initialise mapping adjacency matrix:
mapping_adj = np.zeros((len(network.memory.Ps), len(network.memory.Ps)))
return [network, memory, mapping_adj]
def run_NBsim(trials, memory_states):
last_POs = 0
last_RBs = 0
last_Ps = 0
for memory_state in memory_states:
# initialise memory.
memory = buildNetwork.initializeMemorySet()
# load a sym file.
symProps = load_sym(memory_state)
# interpret the sym file.
mysym = buildNetwork.interpretSymfile(symProps)
# build the network object with memory.
memory = basicRunDORA.dataTypes.memorySet()
memory = buildNetwork.buildTheNetwork(mysym[0], memory)
network = basicRunDORA.runDORA(memory, parameters)
# find which reps were learned since the last simulation.
new_POs = len(network.memory.POs) - last_POs
new_RBs = len(network.memory.RBs) - last_RBs
new_Ps = len(network.memory.Ps) - last_Ps
last_POs = len(network.memory.POs)
last_RBs = len(network.memory.RBs)
last_Ps = len(network.memory.Ps)
start_POs = len(network.memory.POs) - new_POs
start_RBs = len(network.memory.RBs) - new_RBs
start_Ps = len(network.memory.Ps) - new_Ps
new_objs, new_preds, new_rels = count_reps(memory, start_POs,
start_RBs, start_Ps)
print(new_POs, new_RBs, new_Ps)
print(len(new_objs), len(new_preds), len(new_rels))
# run 1000 trials.
tally = {'P': 0, 'RB': 0, 'PO': 0}
correct = 0
for i in range(trials):
tally, was_correct = run_NBtrial(network, start_POs, tally,
correct)
correct += was_correct
print(tally, '\n', correct, '\n\n\n')
f = open('karthikeya/test_sim_4.py', 'r')
f.seek(0) # to get to the beginning of the file.
exec(f.readline())
if simType == 'sym_file':
symstring = ''
for line in f:
symstring += line
do_run = True
try:
exec symstring
except:
do_run = False
print '\nSorry, you have a badly formated sym file. \nI will return to the MainMenu.'
memory = buildNetwork.initializeMemorySet()
# interpret the sym file.
mysym = buildNetwork.interpretSymfile(symProps)
print 'Sym file loaded!'
# build the network object with memory.
memory = basicRunDORA.dataTypes.memorySet()
memory = buildNetwork.buildTheNetwork(mysym[0], memory)
network = basicRunDORA.runDORA(memory, parameters)
def clear_mem():
network.memory = basicRunDORA.clearDriverSet(network.memory)
network.memory = basicRunDORA.clearRecipientSet(network.memory)
clear_mem()