code: def get_num_obs_choosing_each_alternative(obs_per_alt_dict):
      
      # Initialize the object that is to be returned.
      num_obs_per_group = OrderedDict()
  
      # Determine the number of unique units of observation per group.
      for alt_id in obs_per_alt_dict:
          num_obs_per_group[alt_id] = len(obs_per_alt_dict[alt_id])
  
      # Determine the total number of units of observation that will be chosen
      # for each bootstrap sample.
      tot_num_obs = sum([num_obs_per_group[g] for g in num_obs_per_group])
  
      # Return the desired objects.
      return num_obs_per_group, tot_num_obs
docs: Will create an ordered dictionary that records the number of units of
      observation that have chosen the given alternative (i.e. the associated
      dictionary key). Will also determine the total number of unique
      observations in the dataset.
  
      Parameters
      ----------
      obs_per_alt_dict : dict.
          Each key should be a unique alternave id. Each key's value will be 1D
          ndarray that contains the sorted, unique observation ids of those
          observational units that chose the given alternative.
  
      Returns
      -------
      num_obs_per_group : OrderedDict.
          Keys will be the alternative ids present in `obs_per_alt_dict`. Values
          will be the `len(obs_per_alt_dict[alt_id]).`
      tot_num_obs : int.
          Denotes the total number of unique observation ids in one's dataset.