| def use_selenium_driver driver | |
| $__capybara_selenium_driver_name = driver | |
| end | |
| def selenium_driver | |
| $__capybara_selenium_driver_name || :firefox | |
| end | |
| def (Capybara::Driver::Selenium).driver | |
| unless @driver |
| @doc """ | |
| Asserts that the given changeset is invalid, and that when the | |
| assertion_expression is applied to the error_message it results in a truthy | |
| value. | |
| """ | |
| defmacro assert_invalid(changeset, field, assertion_expression) when is_atom(field) do | |
| expr = Macro.to_string(assertion_expression) | |
| quote do | |
| error_messages = unquote(changeset) |
What do Tensorflow, Apache Airflow, Rule Engines, and Excel have in common?
Under the hood they all use DAGs to model data-flow dependencies of the program. Using graphs to model programs is great because you can modify the program at runtime. Lets talk about doing this in Elixir for great good.