Euclidean

Euclidean#

generate_attributes_votes(num_agents: int | None = None, dim: int = 2, space: str = 'uniform', **_kwargs) → list[list[int]][source]#

Generate votes based on attributes model.

Parameters:

  • num_agents (int) – Number of agents.

  • dim (int) – Dimension of the space.

  • space (str) – Distribution of the agents.

  • _kwargs

Returns:

Votes

Return type:

list[list[int]]

generate_euclidean_votes(num_agents: int | None = None, dim: int = 2, space: str = 'uniform', **_kwargs) → list[list[int]][source]#

Generate votes based on Euclidean model.

Parameters:

  • num_agents (int) – Number of agents.

  • dim (int) – Dimension of the space.

  • space (str) – Distribution of the agents.

  • _kwargs

Returns:

Votes

Return type:

list[list[int]]

generate_expectation_votes(num_agents: int | None = None, dim: int = 2, space: str = 'uniform', std: float = 0.1, **_kwargs) → list[list[int]][source]#

Generate votes based on reverse Euclidean model.

Parameters:

  • num_agents (int) – Number of agents.

  • dim (int) – Dimension of the space.

  • space (str) – Distribution of the agents.

  • std (float) – Standard deviation of the agents.

  • _kwargs

Returns:

Votes

Return type:

list[list[int]]

generate_fame_votes(num_agents: int | None = None, dim: int = 2, space: str = 'uniform', radius: float = 0.1, **_kwargs) → list[list[int]][source]#

Generate votes based on fame model (also known as radius model).

Parameters:

  • num_agents (int) – Number of agents.

  • dim (int) – Dimension of the space.

  • space (str) – Distribution of the agents.

  • radius (float) – Radius of the agents.

  • _kwargs

Returns:

Votes

Return type:

list[list[int]]

generate_reverse_euclidean_votes(num_agents: int | None = None, dim: int = 2, space: str = 'uniform', proportion: float = 0.5, **_kwargs) → list[list[int]][source]#

Generate votes based on expectation model.

Parameters:

  • num_agents (int) – Number of agents.

  • dim (int) – Dimension of the space.

  • space (str) – Distribution of the agents.

  • proportion (float) – Proportion of the agents that will have the reverse order.

  • _kwargs

Returns:

Votes

Return type:

list[list[int]]

get_rand(model: str, i: int = 0, num_agents: int = 0) → list[source]#

generate random values

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