Pylint: Module causal_testing.testing.causal_test_case

[jmafoster1]

causal_testing/testing/causal_test_case.py:12:0: R0902: Too many instance attributes (9/7) (too-many-instance-attributes)
Currently, we have

        self.base_test_case = base_test_case
        self.control_value = control_value
        self.expected_causal_effect = expected_causal_effect
        self.outcome_variable = base_test_case.outcome_variable
        self.treatment_variable = base_test_case.treatment_variable
        self.treatment_value = treatment_value
        self.estimate_type = estimate_type
        self.effect = base_test_case.effect
        self.effect_modifier_configuration = {}

Perhaps we might want to reconsider the purpose of expected_causal_effect (implemented in CausalTestOutcome') and see if we can rework some aspects of this into there. I think it'd be quite reasonable to have a class to represent "we expect the outcome Y to Increase according to the ATE effect measure". That would cut three variables (outcome_variable, estimate_type, and effect) down to 1. As with AbstractCausalTestCase, we could also pass the effect modifiers directly into the estimator, as we do with the adjustment set. We should also stop unpacking the data class in the init` method!

causal_testing/testing/causal_test_case.py:24:4: R0913: Too many arguments (7/5) (too-many-arguments)
This would be solved by refactoring the above.