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import pprint
import random
class Param(object):
def __init__(
self,
required=False,
set_by_user=False,
name=None,
**kwargs
):
self.name = name
self.required = required
self._value_default = kwargs.get("default") or None
if not hasattr(self, "set_by_user"):
self._set_by_user = set_by_user
if hasattr(self, "value") and self.value is not None and \
kwargs.get("value") is not None:
self._value = kwargs.get("value")
else:
self._value = self._value_default or None # maybe FIXME
def as_dict(self):
return {
'type': self.__class__.__name__,
'required': self.required,
'name': self.name,
'default': self.default,
'value': self.value
}
def __str__(self):
return pprint.pformat(self.as_dict())
def value_get(self):
if self._set_by_user:
return self._value
return self._value_default
def value_set(self, value):
self._value = value
self._set_by_user = True
value = property(value_get, value_set)
def default_set(self, value):
raise ValueError("Default must be set at instantiation")
def default_get(self):
return self._value_default
default = property(default_get, default_set)
def _choose_from_probabilities(self, probabilities):
"""
if using weights, considers all weights as a percentage of
100
"""
choice = random.randint(0, 100)
position = 0
for elem in probabilities:
position += elem["weight"]
if position >= choice:
self.value = elem["value"]
return True
return False
def randomize(self, probabilities=None):
pass
def from_normalized(self, value):
pass
def as_normalized(self):
if self.value:
return 1
return 0
|
