def reduce(self, resultset, series, data=None):
key = series['data']
source = Glob.expand_list(series['source'], resultset.series_names,
exclude=self.filter_series, args=series)
values = []
for key in source:
values.append(super(FairnessReducer, self).reduce(resultset, None, resultset[key]))
valsum = math.fsum([x**2 for x in values])
if not valsum:
return None
return math.fsum(values)**2/(len(values)*valsum)
def reduce(self, resultset, series, data=None):
key = series['data']
source = Glob.expand_list(series['source'], resultset.series_names,
exclude=self.filter_series, args=series)
values = []
for key in source:
v = super(FairnessReducer, self).reduce(
resultset, None, resultset[key])
if v is not None:
values.append(v)
valsum = math.fsum([x**2 for x in values])
if not valsum:
return None
return math.fsum(values)**2 / (len(values) * valsum)
def expand_plot_config(self, config, data):
if not 'series' in config:
return config
new_series = []
for s in config['series']:
if isinstance(s['data'], Glob):
for d in Glob.expand_list(s['data'], data.keys()):
if 'label' in s and 'id' in data[d]:
new_series.append(dict(s, data=d, label='%s -- %s' % (s['label'], data[d]['id'])))
else:
new_series.append(dict(s, data=d))
else:
new_series.append(s)
return dict(config, series=new_series)
def result(self, res):
if not self.keys:
return res
new_res = []
keys = Glob.expand_list(self.keys,res.series_names,[self.name])
for r in res.zipped(keys):
values = [v for v in r[1:] if v is not None]
if not values:
new_res.append(None)
else:
new_res.append(self.compute(values))
meta = res.meta('SERIES_META') if 'SERIES_META' in res.meta() else {}
meta[self.name] = {}
for mk in self.supported_meta:
vals = []
for k in keys:
if k in meta and mk in meta[k] and meta[k][mk] is not None:
vals.append(meta[k][mk])
if vals:
try:
meta[self.name][mk] = self.compute(vals)
except TypeError:
meta[self.name][mk] = None
for mk in self.copied_meta:
vals = []
for k in keys:
if k in meta and mk in meta[k]:
vals.append(meta[k][mk])
if vals:
# If all the source values of the copied metadata are the same,
# just use that value, otherwise include all of them.
meta[self.name][mk] = vals if len(set(vals)) > 1 else vals[0]
res.add_result(self.name, new_res)
return res
def result(self, res):
if not self.keys:
return res
new_res = []
keys = Glob.expand_list(self.keys, res.series_names, [self.name])
for r in res.zipped(keys):
values = [v for v in r[1:] if v is not None]
if not values:
new_res.append(None)
else:
new_res.append(self.compute(values))
meta = res.meta('SERIES_META') if 'SERIES_META' in res.meta() else {}
meta[self.name] = {}
for mk in self.supported_meta:
vals = []
for k in keys:
if k in meta and mk in meta[k] and meta[k][mk] is not None:
vals.append(meta[k][mk])
if vals:
try:
meta[self.name][mk] = self.compute(vals)
except TypeError:
meta[self.name][mk] = None
for mk in self.copied_meta:
vals = []
for k in keys:
if k in meta and mk in meta[k]:
vals.append(meta[k][mk])
if vals:
# If all the source values of the copied metadata are the same,
# just use that value, otherwise include all of them.
meta[self.name][mk] = vals if len(set(vals)) > 1 else vals[0]
res.add_result(self.name, new_res)
return res
