Feature: Symbolic regression scoring against x+6 dataset
  In order to evaluate how well a Pile script models a given dataset
  As a symbolic regression modeler
  I want the score of a given script against a dataset to be the RSS value

  Scenario: score for a perfect program should be 0.0
    Given the Pile script "x 6.0 +"
    And the training data is "x_plus_6.csv"
    When I score the script
    Then the score should be 0.0

  Scenario: score is summed squared errors
    Given the Pile script "x 8.0 +"
    And the training data is "x_plus_6.csv"
    When I score the script
    Then the score should be 36.0

  Scenario: missing return value is important
    Given the Pile script "foo bar"
    And the training data is "x_plus_6.csv"
    When I score the script
    Then the score should be close to 10^18