def test_fit_clients() -> None:
"""Test fit_clients."""
# Prepare
clients: List[ClientProxy] = [
FailingCLient("0"),
SuccessClient("1"),
]
arr = np.array([[1, 2], [3, 4], [5, 6]])
arr_serialized = ndarray_to_bytes(arr)
ins: FitIns = FitIns(Parameters(tensors=[arr_serialized], tensor_type=""), {})
client_instructions = [(c, ins) for c in clients]
# Execute
results, failures = fit_clients(client_instructions)
# Assert
assert len(results) == 1
assert len(failures) == 1
assert results[0][1].num_examples == 1
def fit(self, ins: FitIns) -> FitRes:
arr = np.array([[1, 2], [3, 4], [5, 6]])
arr_serialized = ndarray_to_bytes(arr)
return FitRes(Parameters(tensors=[arr_serialized], tensor_type=""), 1, 1, 12.3)
