max_batches = int(a)
elif o == "--batch-size":
batch_size = int(a)
elif o == "--conf-perc":
conf_perc = int(a)
conf_fact = invstdnrmlcdf(1 - (100 - conf_perc) / 200)
elif o == "--out":
text_file = a
print("Output is written out to {}".format(text_file))
tic = perf_counter()
stateSpace = og.StateSpace(m1, n2, reduced=True)
toc = timedelta(seconds=perf_counter() - tic)
og.print_header("m1 = {}, n2 = {}".format(m1, n2), text_file)
f = open(text_file, 'a')
print("Generating the state space took {}".format(toc), file=f)
f.close()
#################################################
# Simulations
#################################################
policies = ['RA', 'LF', 'MF']
f = open(text_file, 'a')
print("SSA simulation with batch size {:,d},".format(batch_size) +
" minimum {} batches and maximum {} batches.".format(
min_batches, max_batches),
file=f)
for _i in range(numrhos)
]
elif o == "--maxit":
maxit = int(a)
elif o == "--out":
text_file = a
elif o == "--repeat":
reps = a
print("Output is written out to {}".format(text_file))
tic = perf_counter()
stateSpace = og.StateSpace(m1, n2, reduced=True)
toc = timedelta(seconds=perf_counter() - tic)
og.print_header("m1 = {}, n2 = {}".format(m1, n2), text_file)
f = open(text_file, 'a')
print("Generating the state space took {}".format(toc), file=f)
f.close()
#################################################
# Looping the computations over all possible values of rho
#################################################
ULs = ['L', 'U'] # 'L' and/or 'T'
BPs = [1, 2] # 0, 1 and/or 2
f = open(text_file, 'a')
print("Using the completely imprecise chain.", file=f)
print("The state space has {} states".format(stateSpace.dim), file=f)
print("Running {} simulations for rho = {}".format(reps, rhos), file=f)