Record more credible intervals by default

The ModelCIs and PredictiveCIs tables now default to recording more
credible intervals than they did previously. These defaults can be
overridden in the scenario parameters, by defining a custom list of
credible intervals for 'summary.tables.TABLE.credible_intervals'.

src/pypfilt/examples/predation.toml

@@ -44,6 +44,7 @@ time.until = 15.0
 summary.from_first_day = true
 summary.meta.packages = [ "matplotlib" ]
 summary.tables.model_cints.credible_intervals = [ 0, 50, 95 ]
+summary.tables.forecasts.credible_intervals = [ 0, 50, 95 ]
 
 [scenario.example]
 name = "Example Scenario"

src/pypfilt/summary.py

@@ -293,12 +293,12 @@ class ModelCIs(Table):
 
     :param probs: an array of probabilities that define the size of each
         central credible interval.
-        The default value is ``numpy.uint8([0, 50, 90, 95, 99, 100])``.
+        The default value is ``numpy.uint8([0, 50, 60, 70, 80, 90, 95, 99, 100])``.
     """
 
     def __init__(self, probs=None):
         if probs is None:
-            probs = np.uint8([0, 50, 90, 95, 99, 100])
+            probs = np.uint8([0, 50, 60, 70, 80, 90, 95, 99, 100])
         self.__probs = probs
 
     def dtype(self, ctx, obs_list, name):
@@ -500,12 +500,12 @@ class PredictiveCIs(Table):
     :param exp_obs_monitor: a :class:`pypfilt.summary.ExpectedObsMonitor`.
     :param probs: an array of probabilities that define the size of each
         central credible interval.
-        The default value is ``numpy.uint8([0, 50, 95])``.
+        The default value is ``numpy.uint8([0, 50, 60, 70, 80, 90, 95])``.
     """
 
     def __init__(self, exp_obs_monitor, probs=None):
         if probs is None:
-            probs = np.uint8([0, 50, 95])
+            probs = np.uint8([0, 50, 60, 70, 80, 90, 95])
         self.__probs = np.sort(probs)
         self.__monitor_name = exp_obs_monitor