code: def default(
      base_price: float, t_gen: int, delta: float
  ) -> "ModelParameters":
      """Creates a basic model parameter set with key parameters specified default
      parameters.
  
      Parameters
      ----------
      base_price : float
          The base price to use for price generation.
      t_gen : int
          The number of bars to generate.
      delta : float
          The time delta to use.
  
      Returns
      -------
      `ModelParameters`
          The default model parameters to use.
      """
      return ModelParameters(
          all_s0=base_price,
          all_r0=0.5,
          all_time=t_gen,
          all_delta=delta,
          all_sigma=0.125,
          gbm_mu=0.058,
          jumps_lambda=0.00125,
          jumps_sigma=0.001,
          jumps_mu=-0.2,
          cir_a=3.0,
          cir_mu=0.5,
          cir_rho=0.5,
          ou_a=3.0,
          ou_mu=0.5,
          heston_a=0.25,
          heston_mu=0.35,
          heston_vol0=0.06125,
      )
  
imports: from random import uniform
label_desc: Use image node_id 1 for calling a global function with example usage: default(base_price, t_gen, delta) and returns: ModelParameters