# Rewards tests All rewards deltas sub-functions are tested for each test case. There is no "change" factor, the rewards/penalties outputs are pure functions with just the pre-state as input. (See test condition documentation on how to run the tests.) `Deltas` is defined as: ```python class Deltas(Container): rewards: List[Gwei, VALIDATOR_REGISTRY_LIMIT] penalties: List[Gwei, VALIDATOR_REGISTRY_LIMIT] ``` ## Test case format ### `meta.yaml` ```yaml description: string -- Optional description of test case, purely for debugging purposes. Tests should use the directory name of the test case as identifier, not the description. ``` _Note_: No signature verification happens within rewards sub-functions. These tests can safely be run with or without BLS enabled. ### `pre.ssz_snappy` An SSZ-snappy encoded `BeaconState`, the state before running the rewards sub-function. ### `source_deltas.ssz_snappy` An SSZ-snappy encoded `Deltas` representing the rewards and penalties returned by the rewards the `get_source_deltas` function ### `target_deltas.ssz_snappy` An SSZ-snappy encoded `Deltas` representing the rewards and penalties returned by the rewards the `get_target_deltas` function ### `head_deltas.ssz_snappy` An SSZ-snappy encoded `Deltas` representing the rewards and penalties returned by the rewards the `get_head_deltas` function ### `inclusion_delay_deltas.ssz_snappy` An SSZ-snappy encoded `Deltas` representing the rewards and penalties returned by the rewards the `get_inclusion_delay_deltas` function ### `inactivity_penalty_deltas.ssz_snappy` An SSZ-snappy encoded `Deltas` representing the rewards and penalties returned by the rewards the `get_inactivity_penalty_deltas` function ## Condition A handler of the `rewards` test-runner should process these cases, calling the corresponding rewards deltas function for each set of deltas. The provided pre-state is ready to be input into each rewards deltas function. The provided `deltas` should match the return values of the deltas function. Specifically the following must hold true for each set of deltas: ```python deltas.rewards == deltas_function(state)[0] deltas.penalties == deltas_function(state)[1] ```