def _calculate_(self, tas=None, pr=None, tas_percentile_dict=None, pr_percentile_dict=None):
"""
Allows subclasses to overload parameter definitions for `calculate`.
"""
assert (tas.ndim == 3)
assert (pr.ndim == 3)
try:
dt_arr = self.field.temporal.value_datetime[self._curr_group]
except AttributeError:
if not hasattr(self, '_curr_group'):
dt_arr = self.field.temporal.value_datetime
else:
raise
if tas_percentile_dict is None:
try:
tas_percentile_dict = self._storage_percentile_dict['tas']
pr_percentile_dict = self._storage_percentile_dict['pr']
except KeyError:
dt_arr_perc = self.field.temporal.value_datetime
alias_tas = self.parms['tas']
alias_pr = self.parms['pr']
t_arr_perc = self.field.variables[alias_tas].value.squeeze()
p_arr_perc = self.field.variables[alias_pr].value.squeeze()
tas_percentile_dict = get_percentile_dict(t_arr_perc, dt_arr_perc, self.percentile_tas,
self.window_width)
pr_percentile_dict = get_percentile_dict(p_arr_perc, dt_arr_perc, self.percentile_pr, self.window_width)
self._storage_percentile_dict['tas'] = tas_percentile_dict
self._storage_percentile_dict['pr'] = pr_percentile_dict
ret = _icclim_function_map[self.key]['func'](tas, tas_percentile_dict, pr, pr_percentile_dict, dt_arr,
fill_val1=tas.fill_value, fill_val2=pr.fill_value)
# convert output to a masked array
ret_mask = ret == tas.fill_value
ret = np.ma.array(ret, mask=ret_mask, fill_value=tas.fill_value)
return ret
def calculate(self, values, percentile_dict=None):
# if the percentile dictionary is not provided compute it
if percentile_dict is None:
try:
percentile_dict = self._storage_percentile_dict[self._curr_variable.alias]
except KeyError:
variable = self.field.variables[self._curr_variable.alias]
value = variable.value[0, :, 0, :, :]
assert (value.ndim == 3)
percentile_dict = get_percentile_dict(value, self.field.temporal.value_datetime, self.percentile,
self.window_width, only_leap_years=self.only_leap_years)
self._storage_percentile_dict[self._curr_variable.alias] = percentile_dict
dt_arr = self.field.temporal.value_datetime[self._curr_group]
ret = _icclim_function_map[self.key]['func'](values, dt_arr, percentile_dict, fill_val=values.fill_value)
return ret
def get_percentile_dict(*args, **kwargs):
"""See :func:`icclim.percentile_dict.get_percentile_dict` documentation."""
return get_percentile_dict(*args, **kwargs)