class_docstr: Simulates the velocity of a dissipative soliton (kind of self organized particle) [6]_.
  The equilibrium velocity without noise R=0 for
  $   au>1.0/\kappa_3$ is $\kappa_3 \sqrt{(tau - 1.0/\kappa_3)/Q}.
  Before the drift-bifurcation $      au \le 1.0/\kappa_3$ the velocity is zero.
  
  References
  ----------
  
  .. [6] Andreas Kempa-Liehr (2013, p. 159-170)
      Dynamics of Dissipative Soliton
      Dissipative Solitons in Reaction Diffusion Systems.
      Springer: Berlin
  
  
  >>> ds = velocity(tau=3.5) # Dissipative soliton with equilibrium velocity 1.5e-3
  >>> print(ds.label) # Discriminating before or beyond Drift-Bifurcation
  1
  
  # Equilibrium velocity
  >>> print(ds.deterministic)
  0.0015191090506254991
  
  # Simulated velocity as a time series with 20000 time steps being disturbed by Gaussian white noise
  >>> v = ds.simulate(20000)
docstr: returns deterministic dynamic = acceleration (without noise)
  
  :param v: initial velocity vector
  :rtype v: ndarray
  :return: velocity vector of next time step
  :return type: ndarray
code: def __call__(self, v):
      """
      returns deterministic dynamic = acceleration (without noise)
  
      :param v: initial velocity vector
      :rtype v: ndarray
      :return: velocity vector of next time step
      :return type: ndarray
      """
  
      return v * (1.0 + self.a - self.b * np.dot(v, v))
  
file_path: tsfresh/tsfresh/examples/driftbif_simulation.py
imports: import logging
  import numpy
  import pandas
label_desc: Use image node_id 2 for calling the velocity obj's underlying member method code with example usage: obj.__call__(v) and returns: unknown