def _create_parameter_info(self, parameter, name):
return ParameterInfo(
parameter=parameter,
name=name,
default_encoder_sensitivity=parameter_mapping_sensitivity(
parameter,
self.device().class_name))
def _create_parameter_info(self, parameter, name):
return ParameterInfo(
parameter=parameter
if self._is_parameter_available(parameter) else None,
name=name,
default_encoder_sensitivity=self.default_sensitivity(parameter),
fine_grain_encoder_sensitivity=self.fine_sensitivity(parameter))
def make_automation_parameter(parameter_info):
wrapped_parameter = None
if parameter_info and liveobj_valid(parameter_info.parameter):
parameter = parameter_info.parameter
if isinstance(parameter, PitchParameter):
parameter = parameter.integer_value_host
wrapped_parameter = ParameterInfo(parameter=StepAutomationParameter(parameter=parameter), name=parameter_info.name, default_encoder_sensitivity=parameter_info.default_encoder_sensitivity, fine_grain_encoder_sensitivity=parameter_info.fine_grain_encoder_sensitivity)
return wrapped_parameter
def _create_parameter_info(self, parameter, name):
return ParameterInfo(
name=name,
parameter=parameter,
default_encoder_sensitivity=(
parameter_mapping_sensitivity(parameter)),
fine_grain_encoder_sensitivity=(
fine_grain_parameter_mapping_sensitivity(parameter)))
def _create_parameter_info(self, parameter, name):
assert name is not None
return ParameterInfo(
name=name,
parameter=parameter,
default_encoder_sensitivity=parameter_mapping_sensitivity(
parameter),
fine_grain_encoder_sensitivity=
fine_grain_parameter_mapping_sensitivity(parameter))
def _create_parameter_info(self, parameter, name):
device_class_name = self.device().class_name
return ParameterInfo(
parameter=parameter,
name=name,
default_encoder_sensitivity=parameter_mapping_sensitivity(
parameter, device_class_name),
fine_grain_encoder_sensitivity=
fine_grain_parameter_mapping_sensitivity(parameter,
device_class_name))
def parameters_for_pad(self):
if not self.has_filled_pad:
return []
return [
ParameterInfo(
parameter=parameter,
default_encoder_sensitivity=parameter_mapping_sensitivity(
parameter),
fine_grain_encoder_sensitivity=
fine_grain_parameter_mapping_sensitivity(parameter))
for parameter in [self.choke_param, self.transpose_param]
]
def _create_parameter_info(self, parameter, name):
return ParameterInfo(parameter=parameter,
name=name,
default_encoder_sensitivity=1.0)
