def clear(self):
"""Clear the parameters.
"""
AbstractPopulationPostprocessor.clear(self)
self.impact_total = None
self.female_ratio = None
def clear(self):
"""Clear the parameters.
"""
AbstractPopulationPostprocessor.clear(self)
self.impact_total = None
self.female_ratio = None
def setup(self, params):
"""Concrete implementation to ensure needed parameters are initialized.
:param params: Dict of parameters to pass to the post processor.
:type params: dict
"""
AbstractPopulationPostprocessor.setup(self, None)
if self.impact_total is not None:
self._raise_error('clear needs to be called before setup')
self.impact_total = params['impact_total']
try:
# either all 3 ratio are custom set or we use defaults
self.youth_ratio = params['youth_ratio']
self.adult_ratio = params['adult_ratio']
self.elderly_ratio = params['elderly_ratio']
ratios_total = (self.youth_ratio + self.adult_ratio +
self.elderly_ratio)
if ratios_total > 1:
self._raise_error('Age ratios should sum up to 1. Found: '
'%s + %s + %s = %s ' %
(self.youth_ratio, self.adult_ratio,
self.elderly_ratio, ratios_total))
except KeyError:
self._log_message('either all 3 age ratio are custom set or we'
' use defaults')
defaults = get_defaults()
self.youth_ratio = defaults['YOUTH_RATIO']
self.adult_ratio = defaults['ADULT_RATIO']
self.elderly_ratio = defaults['ELDERLY_RATIO']
def setup(self, params):
"""Initialise parameters.
"""
AbstractPopulationPostprocessor.setup(self, None)
if self.impact_total is not None or self.female_ratio is not None:
self._raise_error('clear needs to be called before setup')
self.impact_total = params['impact_total']
self.female_ratio = params['female_ratio']
if self.female_ratio > 1:
self._raise_error('Female ratio should be lower max 1. Found: '
'%s ' % self.female_ratio)
def __init__(self):
"""
Constructor for AgePostprocessor postprocessor class.
It takes care of defining self.impact_total
"""
AbstractPopulationPostprocessor.__init__(self)
self.youth_ratio = None
self.adult_ratio = None
self.elderly_ratio = None
self.impact_total = None
self._description = tr('Calculates age related statistics.')
def __init__(self):
"""
Constructor for AgePostprocessor postprocessor class.
It takes care of defining self.impact_total
"""
AbstractPopulationPostprocessor.__init__(self)
self.youth_ratio = None
self.adult_ratio = None
self.elderly_ratio = None
self.impact_total = None
self._description = tr('Calculates age related statistics.')
def setup(self, params):
"""Initialise parameters.
"""
AbstractPopulationPostprocessor.setup(self, None)
if self.impact_total is not None or self.female_ratio is not None:
self._raise_error('clear needs to be called before setup')
self.impact_total = params['impact_total']
self.female_ratio = params['female_ratio']
if self.female_ratio > 1:
self._raise_error(
'Female ratio should be lower max 1. Found: '
'%s ' % self.female_ratio)
def process(self):
"""Performs all the indicator calculations.
"""
AbstractPopulationPostprocessor.process(self)
if self.impact_total is None:
self._log_message('%s not all params have been correctly '
'initialized, setup needs to be called before '
'process. Skipping this postprocessor' %
self.__class__.__name__)
else:
self._calculate_total()
self._calculate_youth()
self._calculate_adult()
self._calculate_elderly()
def process(self):
"""Setup parameters parameters and performs all the calculations.
"""
AbstractPopulationPostprocessor.process(self)
if self.impact_total is None or self.female_ratio is None:
self._log_message('%s not all params have been correctly '
'initialized, setup needs to be called before '
'process. Skipping this postprocessor' %
self.__class__.__name__)
else:
self._calculate_total()
self._calculate_females()
self._calculate_weekly_hygene_packs()
self._calculate_weekly_increased_calories()
def process(self):
"""Performs all the indicator calculations.
"""
AbstractPopulationPostprocessor.process(self)
if self.impact_total is None:
self._log_message(
'%s not all params have been correctly '
'initialized, setup needs to be called before '
'process. Skipping this postprocessor'
% self.__class__.__name__)
else:
self._calculate_total()
self._calculate_youth()
self._calculate_adult()
self._calculate_elderly()
def process(self):
"""Setup parameters parameters and performs all the calculations.
"""
AbstractPopulationPostprocessor.process(self)
if self.impact_total is None or self.female_ratio is None:
self._log_message(
'%s not all params have been correctly '
'initialized, setup needs to be called before '
'process. Skipping this postprocessor'
% self.__class__.__name__)
else:
self._calculate_total()
self._calculate_females()
self._calculate_weekly_hygene_packs()
self._calculate_weekly_increased_calories()
def setup(self, params):
"""Concrete implementation to ensure needed parameters are initialized.
:param params: Dict of parameters to pass to the post processor.
:type params: dict
"""
AbstractPopulationPostprocessor.setup(self, None)
if self.impact_total is not None:
self._raise_error('clear needs to be called before setup')
self.impact_total = params['impact_total']
try:
# either all 3 ratio are custom set or we use defaults
self.youth_ratio = params['youth_ratio']
self.adult_ratio = params['adult_ratio']
self.elderly_ratio = params['elderly_ratio']
ratios_total = (self.youth_ratio +
self.adult_ratio +
self.elderly_ratio)
if ratios_total > 1:
self._raise_error(
'Age ratios should sum up to 1. Found: '
'%s + %s + %s = %s ' % (
self.youth_ratio,
self.adult_ratio,
self.elderly_ratio,
ratios_total))
except KeyError:
self._log_message('either all 3 age ratio are custom set or we'
' use defaults')
defaults = get_defaults()
self.youth_ratio = defaults['YOUTH_RATIO']
self.adult_ratio = defaults['ADULT_RATIO']
self.elderly_ratio = defaults['ELDERLY_RATIO']
def __init__(self):
AbstractPopulationPostprocessor.__init__(self)
self.impact_total = None
self.female_ratio = None
self._description = tr('Calculates gender related statistics.')
def clear(self):
"""Clear postprocessor state.
"""
AbstractPopulationPostprocessor.clear(self)
self.impact_total = None
def __init__(self):
AbstractPopulationPostprocessor.__init__(self)
self.impact_total = None
self.female_ratio = None
self._description = tr('Calculates gender related statistics.')
def clear(self):
"""Clear postprocessor state.
"""
AbstractPopulationPostprocessor.clear(self)
self.impact_total = None
