def options(cls):
options = ArrayWriter.options()
options['pack'] = Option('pack', type=bool, default=False, required=False,
help=('If specified, dependent variables will be put in one table, instead of creating one '
'table per dependent variable in CSV file'))
options['separator'] = Option('separator', type=str, default=',', required=False,
help='Defines separator for CSV file, the default is comma: ","')
return options
def options(cls):
options = ArrayWriter.options()
options['rivet_analysis_name'] = Option(
'rivet-analysis-name',
'r',
type=str,
default='RIVET_ANALYSIS_NAME',
required=False,
variable_mapping='rivet_analysis_name',
help='Rivet analysis name, e.g. "ATLAS_2016_I1424838"')
return options
def options(cls):
options = ArrayWriter.options()
options['pack'] = Option(
'pack',
type=bool,
default=False,
required=False,
help=
('If specified, dependent variables will be put in one table, instead of creating one '
'table per dependent variable in CSV file'))
options['separator'] = Option(
'separator',
type=str,
default=',',
required=False,
help='Defines separator for CSV file, the default is comma: ","')
return options
def create_objects(self):
self.calculate_total_errors()
error_hists = []
error_labels = {}
error_indices = {}
index = 0
is_number_list = self.is_number_var(self.dependent_variable)
for i, value in enumerate(self.dependent_variable.get('values', [])):
if not is_number_list[i]: continue # skip non-numeric y values
# process the error labels to ensure uniqueness
ArrayWriter.process_error_labels(value)
for error in value.get('errors', []):
if 'label' not in error:
error['label'] = 'error'
label = error['label']
if label not in error_labels:
index += 1
error_indices[index] = label
if 'symerror' in error and label not in error_labels:
error_labels[label] = 'symerror'
elif 'asymerror' in error and error_labels.get(
label, 'symerror') == 'symerror':
error_labels[label] = 'asymerror'
yvals = []
for index in range(1, len(error_labels) + 1):
error_label = error_indices[index]
if error_labels[error_label] == 'asymerror':
yval_plus_label = error_label + '_plus'
yval_plus = []
yval_minus_label = error_label + '_minus'
yval_minus = []
for i, value in enumerate(
self.dependent_variable.get('values', [])):
if not is_number_list[i]:
continue # skip non-numeric y values
error = [
x for x in value.get('errors', [])
if x.get('label') == error_label
]
if len(error) == 0:
yval_plus.append(0.0)
yval_minus.append(0.0)
elif 'symerror' in error[0]:
err_val = error_value_processor(
value['value'], error[0]['symerror'])
yval_plus.append(err_val)
yval_minus.append(-err_val)
elif 'asymerror' in error[0]:
err_plus = error_value_processor(
value['value'], error[0]['asymerror']['plus'])
err_min = error_value_processor(
value['value'], error[0]['asymerror']['minus'])
yval_plus.append(err_plus)
yval_minus.append(err_min)
else:
yval_plus.append(0.0)
yval_minus.append(0.0)
yvals += [
(yval_plus_label, yval_plus, '%s%s' % (index, 'plus')),
(yval_minus_label, yval_minus, '%s%s' % (index, 'minus'))
]
else:
yval = []
for i, value in enumerate(
self.dependent_variable.get('values', [])):
if not is_number_list[i]:
continue # skip non-numeric y values
error = [
x for x in value.get('errors', [])
if x.get('label') == error_label
]
if len(error) == 0:
yval.append(0.0)
elif 'symerror' in error[0]:
err_val = error_value_processor(
value['value'], error[0]['symerror'])
yval.append(err_val)
else:
yval.append(0.0)
yvals += [(error_label, yval, index)]
for name, vals, index in yvals:
try:
error_hists.append(self._create_empty_hist(name, index, vals))
except:
log.error("Failed to create empty histogram")
xval = []
for i in range(self.dim):
xval.append([])
i_var = self.independent_variables[i]['values']
for ix, x in enumerate(i_var):
if not is_number_list[
ix] and 'labels' not in self.independent_variables[i]:
continue # skip defining bins for non-numeric y values unless alphanumeric bin labels are present
if x['low'] not in xval[i]:
xval[i].append(x['low'])
if x['high'] not in xval[i]:
xval[i].append(x['high'])
try:
hist = self._create_hist(xval)
except:
log.error("Failed to create histogram")
return [] + error_hists
return [hist] + error_hists
def options(cls):
options = ArrayWriter.options()
options['rivet_analysis_name'] = Option('rivet-analysis-name', 'r', type=str, default='RIVET_ANALYSIS_NAME',
required=False, variable_mapping='rivet_analysis_name',
help='Rivet analysis name, e.g. "ATLAS_2016_I1424838"')
return options
