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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_variables_in_scope(scope, collection=tf.GraphKeys.TRAINABLE_VARIABLES):
 """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. """

  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))