test_block_full_access_list_and_data()

Documentation for tests/benchmark/compute/scenario/test_transaction_types.py::test_block_full_access_list_and_data@892e6d1e.

Generate fixtures for these test cases for Amsterdam with:

fill -v tests/benchmark/compute/scenario/test_transaction_types.py::test_block_full_access_list_and_data --gas-benchmark-values 1

Test a block with access lists (60% gas) and calldata (40% gas) using random mixed bytes.

Source code in tests/benchmark/compute/scenario/test_transaction_types.py

def test_block_full_access_list_and_data(
    benchmark_test: BenchmarkTestFiller,
    pre: Alloc,
    intrinsic_cost: int,
    total_cost_standard_per_token: int,
    fork: Fork,
    gas_benchmark_value: int,
    tx_gas_limit: int,
) -> None:
    """
    Test a block with access lists (60% gas) and calldata (40% gas) using
    random mixed bytes.
    """
    # Skip if EIP-7934 block RLP size limit would be exceeded
    block_rlp_limit = fork.block_rlp_size_limit()
    if block_rlp_limit:
        pytest.skip(
            "Test skipped: EIP-7934 block RLP size limit might be exceeded"
        )

    iteration_count = math.ceil(gas_benchmark_value / tx_gas_limit)

    gas_remaining = gas_benchmark_value
    total_gas_used = 0

    txs = []
    for _ in range(iteration_count):
        gas_available = min(tx_gas_limit, gas_remaining) - intrinsic_cost

        # Split available gas: 60% for access lists, 40% for calldata
        gas_for_access_list = int(gas_available * 0.6)
        gas_for_calldata = int(gas_available * 0.4)

        # Access list gas costs from fork's gas_costs
        gas_costs = fork.gas_costs()
        gas_per_address = gas_costs.TX_ACCESS_LIST_ADDRESS
        gas_per_storage_key = gas_costs.TX_ACCESS_LIST_STORAGE_KEY

        # Calculate number of storage keys we can fit
        gas_after_address = gas_for_access_list - gas_per_address
        num_storage_keys = gas_after_address // gas_per_storage_key

        # Create access list with 1 address and many storage keys
        access_address = Address("0x1234567890123456789012345678901234567890")
        storage_keys = []
        for i in range(num_storage_keys):
            # Generate random-looking storage keys
            storage_keys.append(Hash(i))

        access_list = [
            AccessList(
                address=access_address,
                storage_keys=storage_keys,
            )
        ]

        # Calculate calldata with 29% of gas for zero bytes and 71% for
        # non-zero bytes
        # Token accounting: tokens_in_calldata = zero_bytes + 4 *
        # non_zero_bytes
        # We want to split the gas budget:
        # - 29% of gas_for_calldata for zero bytes
        # - 71% of gas_for_calldata for non-zero bytes

        max_tokens_in_calldata = (
            gas_for_calldata // total_cost_standard_per_token
        )

        # Calculate how many tokens to allocate to each type
        tokens_for_zero_bytes = int(max_tokens_in_calldata * 0.29)
        tokens_for_non_zero_bytes = (
            max_tokens_in_calldata - tokens_for_zero_bytes
        )

        # Convert tokens to actual byte counts
        # Zero bytes: 1 token per byte
        # Non-zero bytes: 4 tokens per byte
        num_zero_bytes = tokens_for_zero_bytes  # 1 token = 1 zero byte
        num_non_zero_bytes = (
            tokens_for_non_zero_bytes // 4
        )  # 4 tokens = 1 non-zero byte

        # Create calldata with mixed bytes
        calldata = bytearray()

        # Add zero bytes
        calldata.extend(b"\x00" * num_zero_bytes)

        # Add non-zero bytes (random values from 0x01 to 0xff)
        rng = random.Random(42)  # For reproducibility
        for _ in range(num_non_zero_bytes):
            calldata.append(rng.randint(1, 255))

        # Shuffle the bytes to mix zero and non-zero bytes
        calldata_list = list(calldata)
        rng.shuffle(calldata_list)
        shuffled_calldata = bytes(calldata_list)

        txs.append(
            Transaction(
                to=pre.fund_eoa(amount=0),
                data=shuffled_calldata,
                gas_limit=gas_available + intrinsic_cost,
                sender=pre.fund_eoa(),
                access_list=access_list,
            )
        )

        gas_remaining -= gas_for_access_list + intrinsic_cost
        total_gas_used += fork.transaction_intrinsic_cost_calculator()(
            calldata=shuffled_calldata,
            access_list=access_list,
        )

    benchmark_test(
        blocks=[Block(txs=txs)],
        expected_benchmark_gas_used=total_gas_used,
    )

Parametrized Test Cases

This test generates 1 parametrized test case across 3 forks.