class_docstr: Class providing a method to create Gaussian orthogonal matrix. Class is responsible for constructing 2D Gaussian
  orthogonal arrays.
class_docstr_tok: ["Class","providing","a","method","to","create","Gaussian","orthogonal","matrix",".","Class","is","responsible","for","constructing","2D","Gaussian","orthogonal","arrays","."]
code: def __init__(self, nb_rows, nb_columns, key, scaling=0):
      self.nb_rows = nb_rows
      self.nb_columns = nb_columns
      self.key = key
      self.scaling = scaling
  
imports: import abc
  import functools
  from collections.abc import Iterable
  import numpy
  from absl import logging
  import jax
  import jax.numpy
  from jax import lax, random
label_desc: Use image node_id 1 to create a new GaussianOrthogonalRandomMatrix object from inherited base classes: RandomMatrix with example: obj = GaussianOrthogonalRandomMatrix(nb_rows, nb_columns, key, scaling)