def genenrate_different_scale_move(param, ts=0.001):
"""Generates movements of two different scales.
"""
return np.array([[
gen_move(Ns=param['Ns'][i],
amp=(1.0 / _s) * param['amps'][i],
dT=_s * param['dTs'][i],
T=_s * param['Ts'][i],
ts=ts)[1] for i in xrange(param['N_m'])
] for _s in param['scales']])
def genenrate_different_scale_move(param, ts=0.001):
"""Generates movements of two different scales.
"""
return np.array([[gen_move(Ns=param['Ns'][i],
amp=(1.0 / _s) * param['amps'][i],
dT=_s * param['dTs'][i],
T=_s * param['Ts'][i],
ts=ts)[1]
for i in xrange(param['N_m'])]
for _s in param['scales']])
def generate_simulated_movements(Ns, dT, Ts, ts, move_type):
"""Generates a set of movements with different submovement numbers
and intervals."""
moves = []
for ni, n in enumerate(Ns):
_temp = []
for dt in dT:
sys.stdout.write('\rNs: {0}, dT: {1}'.format(n, dt))
t, m, _ = gen_move(n, [1. / n] * n, [dt] * (n - 1), [Ts] * n,
ts=ts,
move_type=move_type)
_temp.append(m)
moves.append(_temp)
return moves
def generate_ideal_movements(param, ts=0.001):
"""Generates a set of ideal movements using the given parameters.
"""
sys.stdout.write('.')
moves = []
for i in xrange(param['N_m']):
# Generate ideal movement
_, _move, _ = gen_move(Ns=param['Ns'][i],
amp=param['amps'][i],
dT=param['dTs'][i],
T=param['Ts'][i],
ts=ts)
# Append to ideal movements
moves.append(_move)
return np.array(moves)
def generate_ideal_movements(param, ts=0.001):
"""Generates a set of ideal movements using the given parameters.
"""
sys.stdout.write('.')
moves = []
for i in xrange(param['N_m']):
# Generate ideal movement
_, _move, _ = gen_move(Ns=param['Ns'][i],
amp=param['amps'][i],
dT=param['dTs'][i],
T=param['Ts'][i],
ts=ts)
# Append to ideal movements
moves.append(_move)
return np.array(moves)
