def dataflow_safe_append(dataflow, component, params):
"""
Append component step to dataflow. Dataflow must have at most 1 final node.
Parameters are filtered according to the component parameters.
"""
filtered_params = {}
for name, default, desc in yaafecore.getComponentParameters(component):
filtered_params[name] = params.get(name, default)
fNodes = dataflow.finalNodes()
n = dataflow.createNode(component, filtered_params)
if len(fNodes) != 1:
print "WARNING: dataflow has %i final nodes when appending " "component %s !" % (len(fNodes), component)
return
dataflow.link(fNodes[0], "", n, "")
def dataflow_safe_append(dataflow, component, params):
"""
Append component step to dataflow. Dataflow must have at most 1 final node.
Parameters are filtered according to the component parameters.
"""
filtered_params = {}
for name, default, desc in yaafecore.getComponentParameters(component):
filtered_params[name] = params.get(name, default)
fNodes = dataflow.finalNodes()
n = dataflow.createNode(component, filtered_params)
if (len(fNodes) != 1):
print('WARNING: dataflow has %i final nodes when appending '\
'component %s !' % (len(fNodes), component))
return
dataflow.link(fNodes[0], '', n, '')
def __new__(mcs, name, base, kdict):
# check class attributes
if not 'PARAMS' in kdict:
kdict['PARAMS'] = []
if not 'TRANSFORM' in kdict:
kdict['TRANSFORM'] = False
# load component libraries
if 'COMPONENT_LIBS' in kdict:
for lib in kdict['COMPONENT_LIBS']:
if yaafecore.loadComponentLibrary(lib) != 0:
return
# compute exposed parameters and check components
exposed_params = []
components_available = True
for p in kdict['PARAMS']:
if not type(p) == tuple or not len(p) in [2, 3]:
print('ERROR: invalid PARAMS attribute for feature %s !' %
name)
return None
if len(p) == 3:
# explicit parameter
exposed_params.append(p)
else:
params = []
if isinstance(p[0], AudioFeatureFactory):
if not AudioFeatureFactory.feature_available(p[0]):
components_available = False
# import parameters from a feature
params = p[0].get_parameters()
else:
# import parameters from a component
if yaafecore.isComponentAvailable(p[0]):
params = yaafecore.getComponentParameters(p[0])
else:
components_available = False
# override defaults
params = [(key, p[1].get(key, value), desc)
for (key, value, desc) in params
if p[1].get(key, True)]
exposed_params.extend(params)
exposed_params.sort(key=lambda x: x[0])
kdict['_EXPOSED_PARAM_DESCRIPTORS'] = exposed_params
kdict['_COMPONENTS_AVAILABLE'] = components_available
# list all params
kdict['_ALL_PARAMS'] = [key for (key, default, desc) in exposed_params]
# create class
return type.__new__(mcs, name, base, kdict)
def __new__(mcs, name, base, kdict):
# check class attributes
if not 'PARAMS' in kdict:
kdict['PARAMS'] = []
if not 'TRANSFORM' in kdict:
kdict['TRANSFORM'] = False
# load component libraries
if 'COMPONENT_LIBS' in kdict:
for lib in kdict['COMPONENT_LIBS']:
if yaafecore.loadComponentLibrary(lib) != 0:
return
# compute exposed parameters and check components
exposed_params = []
components_available = True
for p in kdict['PARAMS']:
if not type(p) == tuple or not len(p) in [2, 3]:
print('ERROR: invalid PARAMS attribute for feature %s !'
% name)
return None
if len(p) == 3:
# explicit parameter
exposed_params.append(p)
else:
params = []
if isinstance(p[0], AudioFeatureFactory):
if not AudioFeatureFactory.feature_available(p[0]):
components_available = False
# import parameters from a feature
params = p[0].get_parameters()
else:
# import parameters from a component
if yaafecore.isComponentAvailable(p[0]):
params = yaafecore.getComponentParameters(p[0])
else:
components_available = False
# override defaults
params = [(key, p[1].get(key, value), desc)
for (key, value, desc) in params
if p[1].get(key, True)]
exposed_params.extend(params)
exposed_params.sort(key=lambda x: x[0])
kdict['_EXPOSED_PARAM_DESCRIPTORS'] = exposed_params
kdict['_COMPONENTS_AVAILABLE'] = components_available
# list all params
kdict['_ALL_PARAMS'] = [key for (key, default, desc) in exposed_params]
# create class
return type.__new__(mcs, name, base, kdict)