def __init__(
self,
index=None,
sequence=None,
):
DUGen.__init__(
self,
index=index,
sequence=sequence,
)
def __init__(
self,
reset=0,
source=None,
):
DUGen.__init__(
self,
reset=reset,
source=source,
)
def __init__(
self,
repeats=1,
sequence=None,
):
DUGen.__init__(
self,
repeats=repeats,
sequence=sequence,
)
def __init__(
self,
n=None,
source=None,
):
DUGen.__init__(
self,
n=n,
source=source,
)
def __init__(
self,
max_buffer_size=1024,
protected=True,
source=None,
):
DUGen.__init__(
self,
max_buffer_size=max_buffer_size,
protected=protected,
source=source,
)
def __init__(
self,
buffer_id=0,
loop=1,
phase=0,
):
DUGen.__init__(
self,
buffer_id=buffer_id,
loop=loop,
phase=phase,
)
def __init__(
self,
length=float('inf'),
start=1,
step=1,
):
if length is None:
length = float('inf')
DUGen.__init__(
self,
length=length,
start=start,
step=step,
)
def __init__(
self,
length=float('inf'),
maximum=1,
minimum=0,
):
if length is None:
length = float('inf')
DUGen.__init__(
self,
length=length,
maximum=maximum,
minimum=minimum,
)
def __init__(
self,
grow=2,
length=float('inf'),
start=1,
):
if length is None:
length = float('inf')
DUGen.__init__(
self,
grow=grow,
length=length,
start=start,
)
def __init__(
self,
calculation_rate=None,
length=float('inf'),
start=1,
step=1,
):
if length is None:
length = float('inf')
DUGen.__init__(
self,
length=length,
start=start,
step=step,
)
def __init__(
self,
calculation_rate=None,
label=None,
run=1,
source=None,
trigid=-1,
):
DUGen.__init__(
self,
calculation_rate=calculation_rate,
label=label,
run=run,
source=source,
trigid=trigid,
)
def __init__(self, repeats=1, sequence=None, weights=None, **kwargs):
if not isinstance(sequence, collections.Sequence):
sequence = [sequence]
sequence = tuple(float(_) for _ in sequence)
if not isinstance(weights, collections.Sequence):
weights = [weights]
weights = tuple(float(_) for _ in weights)
weights = weights[: len(sequence)]
weights += (0.0,) * (len(sequence) - len(weights))
DUGen.__init__(
self,
repeats=repeats,
length=len(sequence),
sequence=sequence,
weights=weights,
)
def __init__(self, calculation_rate=None, length=float("inf"), start=1, step=1):
if length is None:
length = float("inf")
DUGen.__init__(self, length=length, start=start, step=step)