def properties_for(self, index):
"""
Returns a list of properties, such that each entry in the list corresponds
to the element of the index given.
Example:
let properties: 'one':[1,2,3,4], 'two':[3,5,6]
>>> properties_for([2,3,5])
[['one'], ['one', 'two'], ['two']]
"""
return vectorize(lambda i: [prop for prop in self.iterproperties() if i in self[prop]], otypes=[list])(index)
def properties_for(self, index):
"""
Returns a list of properties, such that each entry in the list corresponds
to the element of the index given.
Example:
let properties: 'one':[1,2,3,4], 'two':[3,5,6]
>>> properties_for([2,3,5])
[['one'], ['one', 'two'], ['two']]
"""
return vectorize(
lambda i: [prop for prop in self.properties() if i in self[prop]],
otypes=[list])(index)
def __init__(self, **kwargs):
super(betabinom_gen, self).__init__(**kwargs)
self._sf = vectorize(self._sf_single, otypes='d')
self._sf.nin = self.numargs + 1