def deploy_service_registry_and_set_urls(
    private_keys, web3, contract_manager, service_registry_address
) -> Tuple[ServiceRegistry, List[str]]:
    urls = ["http://foo", "http://boo", "http://coo"]
    c1_client = JSONRPCClient(web3, private_keys[0])
    c1_service_proxy = ServiceRegistry(
        jsonrpc_client=c1_client,
        service_registry_address=service_registry_address,
        contract_manager=contract_manager,
    )
    c2_client = JSONRPCClient(web3, private_keys[1])
    c2_service_proxy = ServiceRegistry(
        jsonrpc_client=c2_client,
        service_registry_address=service_registry_address,
        contract_manager=contract_manager,
    )
    c3_client = JSONRPCClient(web3, private_keys[2])
    c3_service_proxy = ServiceRegistry(
        jsonrpc_client=c3_client,
        service_registry_address=service_registry_address,
        contract_manager=contract_manager,
    )

    # Test that getting a random service for an empty registry returns None
    pfs_address = get_random_service(c1_service_proxy, "latest")
    assert pfs_address is None

    # Test that setting the urls works
    c1_service_proxy.set_url(urls[0])
    c2_service_proxy.set_url(urls[1])
    c3_service_proxy.set_url(urls[2])

    return c1_service_proxy, urls
def demag_pos(isa, pos, icur=-1, ibeta=-1, ax=0):
    """plot demag of NC/I7/ISA7 model at rotor position
    Args:
      isa: Isa7/NC object
      pos: rotor position in degree
      icur: cur amplitude index or last index if -1
      ibeta: beta angle index or last index if -1
    """
    emag = [e for e in isa.elements if e.is_magnet()]
    demag = np.array([isa.demagnetization(e, icur, ibeta)[1]
                     for e in emag])
    for i, x in enumerate(isa.pos_el_fe_induction):
        if x >= pos/180*np.pi:
            break

    hpol = demag[:, i]
    hpol[hpol == 0] = np.nan
    _contour(ax, f'Demagnetization at Pos. {round(x/np.pi*180)}° ({isa.MAGN_TEMPERATURE} °C)',
             emag, hpol, '-H / kA/m', isa)
    logger.info("Max demagnetization %f kA/m", np.nanmax(hpol))