code: def create_swarm(
      n_particles,
      dimensions,
      discrete=False,
      binary=False,
      options={},
      bounds=None,
      center=1.0,
      init_pos=None,
      clamp=None,
  ):
      """Abstract the generate_swarm() and generate_velocity() methods
  
      Parameters
      ----------
      n_particles : int
          number of particles to be generated in the swarm.
      dimensions: int
          number of dimensions to be generated in the swarm
      discrete : bool
          Creates a discrete swarm. Default is `False`
      options : dict, optional
          Swarm options, for example, c1, c2, etc.
      binary : bool
          generate a binary matrix, Default is `False`
      bounds : tuple of np.ndarray or list
          a tuple of size 2 where the first entry is the minimum bound while
          the second entry is the maximum bound. Each array must be of shape
          :code:`(dimensions,)`. Default is `None`
      center : numpy.ndarray, optional
          a list of initial positions for generating the swarm. Default is `1`
      init_pos : numpy.ndarray, optional
          option to explicitly set the particles' initial positions. Set to
          :code:`None` if you wish to generate the particles randomly.
      clamp : tuple of floats, optional
          a tuple of size 2 where the first entry is the minimum velocity
          and the second entry is the maximum velocity. It
          sets the limits for velocity clamping.
  
      Returns
      -------
      pyswarms.backend.swarms.Swarm
          a Swarm class
      """
      if discrete:
          position = generate_discrete_swarm(
              n_particles, dimensions, binary=binary, init_pos=init_pos
          )
      else:
          position = generate_swarm(
              n_particles,
              dimensions,
              bounds=bounds,
              center=center,
              init_pos=init_pos,
          )
  
      velocity = generate_velocity(n_particles, dimensions, clamp=clamp)
      return Swarm(position, velocity, options=options)
  
file_path: pyswarms/pyswarms/backend/generators.py
imports: import logging
  import numpy
  from ..utils.reporter import Reporter
  from .swarms import Swarm
label_desc: Use image node_id 4 for calling a global function with example usage: create_swarm(n_particles, dimensions, discrete, binary, options, bounds, center, init_pos, clamp) and returns: Swarm