Exact Decimal tasks across machines

import aner.parallel

fn decimal_task(parameters: List, iteration: Int64, seed: Int64,
                output: OutputRegion<Decimal>) -> Unit {
    let scalar = cast<Decimal>(parameters.get(0))
    let values = cast<FrozenArray<Decimal>>(parameters.get(1))
    output[0] = scalar
    let index = iteration % values.len()
    output[1] = values[integer_div(index, 2), index % 2]
    output[2] = D("0.1000") + D("0.2000")
    output[3] = cast<Decimal>(parameters.get(2))
}

let values = NDArray<Decimal>(shape: List(2, 2), fill: D(0))
values[0, 0] = D("1234567890123456789012345678901234")
values[0, 1] = D("0.1000")
values[1, 0] = D("-0.00")
values[1, 1] = D("1e-6176")
let parameters = List(D("1e6144"), values.snapshot(), D("-0.0000"))
let baseline = parallel.repeat(12, decimal_task, parameters,
    output_shape: List(4), execution: parallel.local(1), seed: 42)
let remote = parallel.repeat(12, decimal_task, parameters,
    output_shape: List(4), execution: parallel.cluster("native-decimal-remote.conf"), seed: 42)
var exact = true
for iteration in Range(12) {
    for column in Range(4) {
        if String(remote[iteration, column]) != String(baseline[iteration, column]) {
            exact = false
        }
    }
    if remote.seed(iteration) != baseline.seed(iteration) { exact = false }
}
print(exact)
print(String(remote[0, 1]))
print(String(remote[1, 1]))
print(String(remote[2, 1]))
print(String(remote[3, 1]))
print(String(remote[0, 2]))
print(String(remote[0, 3]))
print(remote.summary())