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list_or: chaniging how list_or_* functions work and adding a generic list_or

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list_or_* functions (e.g. list_or_string) will now always return a list,
however will accept lists or indivitual values. Also added a list_or()
generator function, similar to what already exists for list_of().
This commit is contained in:
Sergei Trofimov
2015-06-01 15:24:22 +01:00
parent a9ab67990a
commit f59da723fb
5 changed files with 73 additions and 50 deletions
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16
wlauto/instrumentation/energy_model/__init__.py
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@@ -492,19 +492,11 @@ class EnergyModelInstrument(Instrument):
self.big_energy_metrics = []
self.little_energy_metrics = []
if self.power_metric:
if isinstance(self.power_metric, basestring):
self.big_power_metrics = [self.power_metric.format(core=self.big_core)]
self.little_power_metrics = [self.power_metric.format(core=self.little_core)]
else:
self.big_power_metrics = [pm.format(core=self.big_core) for pm in self.power_metric]
self.little_power_metrics = [pm.format(core=self.little_core) for pm in self.power_metric]
self.big_power_metrics = [pm.format(core=self.big_core) for pm in self.power_metric]
self.little_power_metrics = [pm.format(core=self.little_core) for pm in self.power_metric]
else: # must be energy_metric
if isinstance(self.energy_metric, basestring):
self.big_energy_metrics = [self.energy_metric.format(core=self.big_core)]
self.little_energy_metrics = [self.energy_metric.format(core=self.little_core)]
else:
self.big_energy_metrics = [em.format(core=self.big_core) for em in self.energy_metric]
self.little_energy_metrics = [em.format(core=self.little_core) for em in self.energy_metric]
self.big_energy_metrics = [em.format(core=self.big_core) for em in self.energy_metric]
self.little_energy_metrics = [em.format(core=self.little_core) for em in self.energy_metric]
def configure_clusters(self):
self.measured_cores = None