docs: def gini_coefficient(y):
      r"""
      Implements the Gini inequality index
  
      Parameters
      -----------
      y : array_like(float)
          Array of income/wealth for each individual. Ordered or unordered is fine
  
      Returns
      -------
      Gini index: float
          The gini index describing the inequality of the array of income/wealth
  
      References
      ----------
  
      https://en.wikipedia.org/wiki/Gini_coefficient
      """
      n = len(y)
      i_sum = np.zeros(n)
      for i in prange(n):
          for j in range(n):
              i_sum[i] += abs(y[i] - y[j])
      return np.sum(i_sum) / (2 * n * np.sum(y))