code: def get_variables_in_scope(scope, collection=tf.GraphKeys.TRAINABLE_VARIABLES):
    
    scope_name = get_variable_scope_name(scope)
  
    if scope_name:
      # Escape the name in case it contains any "." characters. Add a closing
      # slash so we will not search any scopes that have this scope name as a
      # prefix.
      scope_name = re.escape(scope_name) + "/"
  
    return tuple(tf.get_collection(collection, scope_name))
docs: Returns a tuple `tf.Variable`s in a scope for a given collection.
  
    Args:
      scope: `tf.VariableScope` or string to retrieve variables from.
      collection: Collection to restrict query to. By default this is
          `tf.Graphkeys.TRAINABLE_VARIABLES`, which doesn't include non-trainable
          variables such as moving averages.
  
    Returns:
      A tuple of `tf.Variable` objects.