import asyncio
import torch

import pytest
import hivemind

from concurrent.futures import CancelledError


def test_mpfuture_result():
    f1, f2 = hivemind.MPFuture.make_pair()
    f1.set_result(321)
    assert f2.result() == 321
    assert f1.result() == 321

    for future in [f1, f2]:
        with pytest.raises(RuntimeError):
            future.set_result(123)
        with pytest.raises(RuntimeError):
            future.set_exception(ValueError())
        assert future.cancel() is False
        assert future.done() and not future.running() and not future.cancelled()

    f1, f2 = hivemind.MPFuture.make_pair()
    with pytest.raises(TimeoutError):
        f1.result(timeout=1e-3)

    f2.set_result(['abacaba', 123])
    assert f1.result() == ['abacaba', 123]


def test_mpfuture_exception():
    f1, f2 = hivemind.MPFuture.make_pair()
    with pytest.raises(TimeoutError):
        f1.exception(timeout=1e-3)

    f2.set_exception(NotImplementedError())

    for future in [f1, f2]:
        assert isinstance(future.exception(), NotImplementedError)
        with pytest.raises(NotImplementedError):
            future.result()
        assert future.cancel() is False
        assert future.done() and not future.running() and not future.cancelled()


def test_mpfuture_cancel():
    f1, f2 = hivemind.MPFuture.make_pair()
    assert not f2.cancelled()
    f1.cancel()
    for future in [f1, f2]:
        with pytest.raises(CancelledError):
            future.result()
        with pytest.raises(CancelledError):
            future.exception()
        with pytest.raises(RuntimeError):
            future.set_result(123)
        with pytest.raises(RuntimeError):
            future.set_exception(NotImplementedError)
        assert future.cancelled() and future.done() and not future.running()


def test_mpfuture_status():
    f1, f2 = hivemind.MPFuture.make_pair()
    assert f1.set_running_or_notify_cancel() is True
    for future in [f1, f2]:
        assert future.running() and not future.done() and not future.cancelled()
        with pytest.raises(RuntimeError):
            future.set_running_or_notify_cancel()
    f2.cancel()
    for future in [f1, f2]:
        assert not future.running() and future.done() and future.cancelled()
        assert future.set_running_or_notify_cancel() is False

    f1, f2 = hivemind.MPFuture.make_pair()
    f1.cancel()
    for future in [f1, f2]:
        assert future.set_running_or_notify_cancel() is False


@pytest.mark.asyncio
async def test_await_mpfuture():
    # await result
    f1, f2 = hivemind.MPFuture.make_pair()

    async def wait_and_assign():
        assert f2.set_running_or_notify_cancel() is True
        await asyncio.sleep(0.1)
        f2.set_result((123, 'ololo'))

    asyncio.create_task(wait_and_assign())
    for future in [f1, f2]:
        res = await future
        assert res == (123, 'ololo')

    # await cancel
    f1, f2 = hivemind.MPFuture.make_pair()

    async def wait_and_cancel():
        await asyncio.sleep(0.1)
        f1.cancel()

    asyncio.create_task(wait_and_cancel())
    for future in [f1, f2]:
        with pytest.raises(CancelledError):
            await future

    # await exception
    f1, f2 = hivemind.MPFuture.make_pair()

    async def wait_and_raise():
        await asyncio.sleep(0.1)
        f1.set_exception(SystemError())

    asyncio.create_task(wait_and_raise())
    for future in [f1, f2]:
        with pytest.raises(SystemError):
            await future


def test_vector_compression(size=(128, 128, 64), alpha=5e-08):
    torch.manual_seed(0)
    from hivemind.proto.runtime_pb2 import CompressionType
    from hivemind.utils import serialize_torch_tensor, deserialize_torch_tensor
    X = torch.randn(*size)
    assert torch.allclose(deserialize_torch_tensor(serialize_torch_tensor(X, CompressionType.NONE)), X)
    error = deserialize_torch_tensor(serialize_torch_tensor(X, CompressionType.MEANSTD_LAST_AXIS_FLOAT16))-X
    assert error.square().mean() < alpha
    error = deserialize_torch_tensor(serialize_torch_tensor(X, CompressionType.FLOAT16)) - X
    assert error.square().mean() < alpha