text: """This function provides an random init file generating process."""
  import collections
  
  import numpy as np
  import oyaml as yaml
  
  from soepy.python.pre_processing.model_processing import expand_init_dict
  
  
  def random_init(constr=None):
      """The module provides a random dictionary generating process for test purposes."""
  
      # Check for pre specified constraints
      if constr is not None:
          pass
      else:
          constr = {}
  
      if "EDUC_MAX" in constr.keys():
          educ_max = constr["EDUC_MAX"]
      else:
          educ_max = 14
  
      if "EDUC_MIN" in constr.keys():
          educ_max = constr["EDUC_MIN"]
      else:
          educ_min = 10
  
      if "AGENTS" in constr.keys():
          agents = constr["AGENTS"]
      else:
          agents = np.random.randint(500, 1000)
  
      if "PERIODS" in constr.keys():
          periods = constr["PERIODS"]
      else:
          periods = np.random.randint(8, 12)
  
      if "SEED_SIM" in constr.keys():
          seed_sim = constr["SEED_SIM"]
      else:
          seed_sim = np.random.randint(1000, 9999)
  
      if "SEED_EMAX" in constr.keys():
          seed_emax = constr["SEED_EMAX"]
      else:
          seed_emax = np.random.randint(1000, 9999)
  
      if "NUM_DRAWS_EMAX" in constr.keys():
          num_draws_emax = constr["NUM_DRAWS_EMAX"]
      else:
          num_draws_emax = np.random.randint(400, 600)
  
      init_dict = dict()
  
      for key_ in [
          "GENERAL",
          "CONSTANTS",
          "INITIAL_CONDITIONS",
          "SIMULATION",
          "SOLUTION",
          "PARAMETERS",
      ]:
          init_dict[key_] = {}
  
      init_dict["GENERAL"]["num_periods"] = periods
      init_dict["GENERAL"]["num_choices"] = 3
  
      init_dict["CONSTANTS"]["delta"] = np.random.uniform(0.8, 0.99)
      init_dict["CONSTANTS"]["mu"] = np.random.uniform(-0.7, -0.4)
      init_dict["CONSTANTS"]["benefits"] = np.random.uniform(1600.0, 2200.0)
  
      init_dict["INITIAL_CONDITIONS"]["educ_max"] = educ_max
      init_dict["INITIAL_CONDITIONS"]["educ_min"] = educ_min
  
      init_dict["SIMULATION"]["seed_sim"] = seed_sim
      init_dict["SIMULATION"]["num_agents_sim"] = agents
  
      init_dict["SOLUTION"]["seed_emax"] = seed_emax
      init_dict["SOLUTION"]["num_draws_emax"] = num_draws_emax
  
      # Generate random parameterization
      gamma0 = np.random.normal(6.0, 1.0, 3)
      gamma1 = np.random.uniform(0.2, 0.3, 3)
      g_s = np.random.uniform(0.02, 0.5, 3)
      delta = np.random.uniform(0.1, 0.9, 3)
      theta = np.random.uniform(-0.5, -0.1, 2)
      sigma = np.random.uniform(1.0, 2.0, 3)
  
      init_dict["PARAMETERS"]["optim_paras"] = np.concatenate(
          (gamma0, gamma1, g_s, delta, theta, sigma)
      ).tolist()
  
      init_dict["PARAMETERS"]["order"] = [
          "gamma_0s1",
          "gamma_0s2",
          "gamma_0s3",
          "gamma_1s1",
          "gamma_1s2",
          "gamma_1s3",
          "g_s1",
          "g_s2",
          "g_s3",
          "delta_s1",
          "delta_s2",
          "delta_s3",
          "theta_p",
          "theta_f",
          "sigma_0",
          "sigma_1",
          "sigma_2",
      ]
  
      print_dict(init_dict)
  
      return init_dict
  
  
  def print_dict(init_dict, file_name="test"):
      """This function prints the initialization dict to a *.yml file."""
      ordered_dict = collections.OrderedDict()
      order = [
          "GENERAL",
          "CONSTANTS",
          "INITIAL_CONDITIONS",
          "SIMULATION",
          "SOLUTION",
          "PARAMETERS",
      ]
      for key_ in order:
          ordered_dict[key_] = init_dict[key_]
  
      with open("{}.soepy.yml".format(file_name), "w") as outfile:
          yaml.dump(ordered_dict, outfile, explicit_start=True, indent=4)
  
  
  def namedtuple_to_dict(model_params):
  
      """Transfers model specification from a
      named tuple class object to dictionary."""
  
      init_dict = {}
  
      init_dict["GENERAL"] = {}
      init_dict["GENERAL"]["num_periods"] = model_params.num_periods
      init_dict["GENERAL"]["num_choices"] = model_params.num_choices
  
      init_dict["CONSTANTS"] = {}
      init_dict["CONSTANTS"]["delta"] = model_params.delta
      init_dict["CONSTANTS"]["mu"] = model_params.mu
      init_dict["CONSTANTS"]["benefits"] = model_params.benefits
  
      init_dict["INITIAL_CONDITIONS"] = {}
      init_dict["INITIAL_CONDITIONS"]["educ_max"] = model_params.educ_max
      init_dict["INITIAL_CONDITIONS"]["educ_min"] = model_params.educ_min
  
      init_dict["SIMULATION"] = {}
      init_dict["SIMULATION"]["seed_sim"] = model_params.seed_sim
      init_dict["SIMULATION"]["num_agents_sim"] = model_params.num_agents_sim
  
      init_dict["SOLUTION"] = {}
      init_dict["SOLUTION"]["seed_emax"] = model_params.seed_emax
      init_dict["SOLUTION"]["num_draws_emax"] = model_params.num_draws_emax
  
      init_dict["PARAMETERS"] = {}
      init_dict["PARAMETERS"]["optim_paras"] = model_params.optim_paras
  
      init_dict["DERIVED_ATTR"] = {}
      init_dict["DERIVED_ATTR"]["educ_range"] = model_params.educ_range
      init_dict["DERIVED_ATTR"]["shocks_cov"] = model_params.shocks_cov
  
      return init_dict
  
  
  def read_init_file2(init_file_name):
      """Reads in the model specification from yaml file."""
  
      # Import yaml initialization file as dictionary init_dict
      with open(init_file_name) as y:
          init_dict = yaml.load(y, Loader=yaml.FullLoader)
  
      init_dict = expand_init_dict(init_dict)
  
      return init_dict
  