eth2.0-specs/tests/formats/rewards
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README.md update test format docs 2020-05-19 14:31:28 +02:00

README.md

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:

class Deltas(Container):
    rewards: List[Gwei, VALIDATOR_REGISTRY_LIMIT]
    penalties: List[Gwei, VALIDATOR_REGISTRY_LIMIT]

Test case format

meta.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.yaml

A YAML-encoded BeaconState, the state before running the rewards sub-function.

Also available as pre.ssz.

source_deltas.yaml

A YAML-encoded Deltas representing the rewards and penalties returned by the rewards the get_source_deltas function

Also available as source_deltas.ssz.

target_deltas.yaml

A YAML-encoded Deltas representing the rewards and penalties returned by the rewards the get_target_deltas function

Also available as target_deltas.ssz.

head_deltas.yaml

A YAML-encoded Deltas representing the rewards and penalties returned by the rewards the get_head_deltas function

Also available as head_deltas.ssz.

inclusion_delay_deltas.yaml

A YAML-encoded Deltas representing the rewards and penalties returned by the rewards the get_inclusion_delay_deltas function

Also available as inclusion_delay_deltas.ssz.

inactivity_penalty_deltas.yaml

A YAML-encoded Deltas representing the rewards and penalties returned by the rewards the get_inactivity_penalty_deltas function

Also available as inactivity_penalty_deltas.ssz.

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:

    deltas.rewards == deltas_function(state)[0]
    deltas.penalties == deltas_function(state)[1]