pNeuma_simulator package

Subpackages

• pNeuma_simulator.contact_distance package
  • Submodules
    • pNeuma_simulator.contact_distance.contact_distance module
      • calc_dtc()
      • ellipses()
  • Module contents
• pNeuma_simulator.gang package
  • Submodules
    • pNeuma_simulator.gang.collision module
      • collisions()
      • newton_iteration()
    • pNeuma_simulator.gang.navigation module
      • decay()
      • navigate()
    • pNeuma_simulator.gang.neighborhood module
      • neighborhood()
    • pNeuma_simulator.gang.particle module
      • Particle
  • Module contents
• pNeuma_simulator.initialization package
  • Submodules
    • pNeuma_simulator.initialization.equilibrium module
      • equilibrium()
      • synthetic_fd()
    • pNeuma_simulator.initialization.initialization module
      • budget()
      • f()
      • ov()
      • vo()
    • pNeuma_simulator.initialization.poissondisc module
      • PoissonDisc
  • Module contents
• pNeuma_simulator.shadowcasting package
  • Submodules
    • pNeuma_simulator.shadowcasting.fov module
      • FoV
      • Quadrant
      • Row
    • pNeuma_simulator.shadowcasting.shadowcasting module
      • shadowcasting()
  • Module contents
• pNeuma_simulator.utils package
  • Submodules
    • pNeuma_simulator.utils.utils module
      • direction()
      • projection()
      • tangent_dist()
      • truncated_rvs()
  • Module contents

Submodules

• pNeuma_simulator.animations module
  • draw()
  • ring()
• pNeuma_simulator.params module
• pNeuma_simulator.results module
  • aggregate()
  • confidence_interval()
  • intersect()
  • loader()
  • normalized()
  • percolate()
  • polarize()
  • zipdir()
• pNeuma_simulator.simulate module
  • CollisionException
  • batch()
  • identify()
  • infront()
  • main()

Module contents

pNeuma_simulator.batch(seed: int, permutation: tuple, n_jobs: int, distributed: bool = True, stochastic: bool = True)

Run a batch simulation with the given seed and permutation.

Parameters:

• seed (int) – The seed for random number generation.

• permutation (tuple) – A tuple containing the number of cars and motorcycles.

• n_jobs (int) – Number of parallel jobs.

• distributed (bool, optional) – Flag indicating if the simulation is distributed. Defaults to True.

• stochastic (bool, optional) – Flag indicating if the simulation is stochastic. Defaults to True.

Returns:

A tuple containing the simulation results for cars and motorcycles.

Return type:

tuple

pNeuma_simulator.ring(t: int, n_cars: int, l_agents: list, ax: Axes) → None

Draw the ring animation for a given time step.

Parameters:

• t (int) – The time step.

• n_cars (int) – The number of cars in the dataset.

• l_agents (list) – A list of agents at each time step.

• ax (matplotlib.axes.Axes) – The matplotlib axes object to draw the animation on.