pydistsim.demo_algorithms.santoro2007.mega_merger.algorithm.MegaMergerParameters

class MegaMergerParameters

Bases: TypedDict, Generic[T]

Class to specify the parameters for the Mega Merger algorithm.

The list of weights and cities must have at least the same size of edges and nodes in the network, respectively. Additionally, both list must be disjoint, i.e., no city can be a weight and vice-versa. Obviously, the INF_WEIGHT must be bigger than any weight or city and must be comparable in type to both (> and < must work).

Attributes:

percentage_of_initiators (float): Percentage of initiators in the network. INF_WEIGHT (T): Value representing infinity. WEIGHT_LIST (list[T]): List of weights for the links. CITY_LIST (list[T]): List of cities in the network.

Methods

__init__
clear
copy
fromkeys	Create a new dictionary with keys from iterable and values set to value.
get	Return the value for key if key is in the dictionary, else default.
items
keys
pop	If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem	Remove and return a (key, value) pair as a 2-tuple.
setdefault	Insert key with a value of default if key is not in the dictionary.
update	If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
values

Attributes

percentage_of_initiators
INF_WEIGHT
WEIGHT_LIST
CITY_LIST