def to_operation(self, inputs, conditions={}):
outputs = [self.name() + '.' + i for i in inputs.keys()]
buffer_output = [self.name()]
if len(inputs.values()) > 1:
node = [
gn.RollingBuffer(name=self.name() + "_buffer",
N=self.values['Num Points'],
condition_needs=conditions,
inputs=inputs,
outputs=buffer_output,
parent=self.name()),
gn.Map(name=self.name() + "_operation",
inputs=buffer_output,
outputs=outputs,
func=lambda a: zip(*a),
parent=self.name())
]
else:
node = gn.RollingBuffer(name=self.name(),
N=self.values['Num Points'],
condition_needs=conditions,
inputs=inputs,
outputs=outputs,
parent=self.name())
return node
def to_operation(self, inputs, outputs, **kwargs):
outputs = [self.name() + '.' + i for i in inputs.keys()]
buffer_output = [self.name()]
if len(inputs.values()) > 1:
node = [
gn.RollingBuffer(name=self.name() + "_buffer",
N=self.values['Num Points'],
inputs=inputs,
outputs=buffer_output,
**kwargs),
gn.Map(name=self.name() + "_operation",
inputs=buffer_output,
outputs=outputs,
func=lambda a: zip(*a),
**kwargs)
]
else:
node = gn.RollingBuffer(name=self.name(),
N=self.values['Num Points'],
inputs=inputs,
outputs=outputs,
**kwargs)
return node
def to_operation(self, inputs, outputs, **kwargs):
outputs = [self.name() + '.' + i for i in inputs.keys()]
buffer_output = [self.name()]
nodes = [
gn.RollingBuffer(name=self.name() + "_buffer",
N=self.values['Num Points'],
unique=self.values['Unique'],
inputs=inputs,
outputs=buffer_output,
**kwargs),
gn.Map(name=self.name() + "_operation",
inputs=buffer_output,
outputs=outputs,
func=lambda a: zip(*a),
**kwargs)
]
return nodes
def to_operation(self, **kwargs):
return gn.RollingBuffer(name=self.name() + "_operation",
N=self.values['N'],
**kwargs)