249 lines
7.5 KiB
Python
249 lines
7.5 KiB
Python
"""
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Streaming via async gen api
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"""
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import time
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from functools import partial
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import platform
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import trio
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import tractor
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import pytest
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def test_must_define_ctx():
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with pytest.raises(TypeError) as err:
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@tractor.stream
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async def no_ctx():
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pass
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assert "no_ctx must be `ctx: tractor.Context" in str(err.value)
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@tractor.stream
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async def has_ctx(ctx):
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pass
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async def async_gen_stream(sequence):
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for i in sequence:
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yield i
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await trio.sleep(0.1)
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# block indefinitely waiting to be cancelled by ``aclose()`` call
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with trio.CancelScope() as cs:
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await trio.sleep(float('inf'))
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assert 0
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assert cs.cancelled_caught
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@tractor.stream
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async def context_stream(ctx, sequence):
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for i in sequence:
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await ctx.send_yield(i)
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await trio.sleep(0.1)
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# block indefinitely waiting to be cancelled by ``aclose()`` call
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with trio.CancelScope() as cs:
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await trio.sleep(float('inf'))
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assert 0
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assert cs.cancelled_caught
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async def stream_from_single_subactor(stream_func_name):
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"""Verify we can spawn a daemon actor and retrieve streamed data.
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"""
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async with tractor.find_actor('streamerd') as portals:
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if not portals:
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# only one per host address, spawns an actor if None
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async with tractor.open_nursery() as nursery:
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# no brokerd actor found
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portal = await nursery.start_actor(
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'streamerd',
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rpc_module_paths=[__name__],
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statespace={'global_dict': {}},
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)
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seq = range(10)
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stream = await portal.run(
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__name__,
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stream_func_name, # one of the funcs above
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sequence=list(seq), # has to be msgpack serializable
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)
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# it'd sure be nice to have an asyncitertools here...
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iseq = iter(seq)
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ival = next(iseq)
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async for val in stream:
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assert val == ival
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try:
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ival = next(iseq)
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except StopIteration:
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# should cancel far end task which will be
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# caught and no error is raised
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await stream.aclose()
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await trio.sleep(0.3)
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try:
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await stream.__anext__()
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except StopAsyncIteration:
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# stop all spawned subactors
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await portal.cancel_actor()
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# await nursery.cancel()
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@pytest.mark.parametrize(
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'stream_func', ['async_gen_stream', 'context_stream']
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)
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def test_stream_from_single_subactor(arb_addr, start_method, stream_func):
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"""Verify streaming from a spawned async generator.
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"""
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tractor.run(
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partial(
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stream_from_single_subactor,
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stream_func_name=stream_func,
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),
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arbiter_addr=arb_addr,
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start_method=start_method,
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)
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# this is the first 2 actors, streamer_1 and streamer_2
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async def stream_data(seed):
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for i in range(seed):
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yield i
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# trigger scheduler to simulate practical usage
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await trio.sleep(0)
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# this is the third actor; the aggregator
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async def aggregate(seed):
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"""Ensure that the two streams we receive match but only stream
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a single set of values to the parent.
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"""
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async with tractor.open_nursery() as nursery:
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portals = []
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for i in range(1, 3):
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# fork point
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portal = await nursery.start_actor(
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name=f'streamer_{i}',
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rpc_module_paths=[__name__],
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)
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portals.append(portal)
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send_chan, recv_chan = trio.open_memory_channel(500)
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async def push_to_chan(portal, send_chan):
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async with send_chan:
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async for value in await portal.run(
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__name__, 'stream_data', seed=seed
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):
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# leverage trio's built-in backpressure
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await send_chan.send(value)
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print(f"FINISHED ITERATING {portal.channel.uid}")
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# spawn 2 trio tasks to collect streams and push to a local queue
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async with trio.open_nursery() as n:
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for portal in portals:
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n.start_soon(push_to_chan, portal, send_chan.clone())
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# close this local task's reference to send side
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await send_chan.aclose()
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unique_vals = set()
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async with recv_chan:
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async for value in recv_chan:
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if value not in unique_vals:
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unique_vals.add(value)
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# yield upwards to the spawning parent actor
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yield value
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assert value in unique_vals
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print("FINISHED ITERATING in aggregator")
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await nursery.cancel()
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print("WAITING on `ActorNursery` to finish")
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print("AGGREGATOR COMPLETE!")
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# this is the main actor and *arbiter*
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async def a_quadruple_example():
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# a nursery which spawns "actors"
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async with tractor.open_nursery() as nursery:
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seed = int(1e3)
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pre_start = time.time()
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portal = await nursery.run_in_actor(
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'aggregator',
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aggregate,
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seed=seed,
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)
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start = time.time()
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# the portal call returns exactly what you'd expect
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# as if the remote "aggregate" function was called locally
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result_stream = []
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async for value in await portal.result():
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result_stream.append(value)
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print(f"STREAM TIME = {time.time() - start}")
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print(f"STREAM + SPAWN TIME = {time.time() - pre_start}")
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assert result_stream == list(range(seed))
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return result_stream
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async def cancel_after(wait):
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with trio.move_on_after(wait):
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return await a_quadruple_example()
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@pytest.fixture(scope='module')
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def time_quad_ex(arb_addr, ci_env, spawn_backend):
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if spawn_backend == 'mp' and (platform.system() != 'Windows'):
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"""no idea but the mp *nix runs are flaking out here often...
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"""
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pytest.skip("Test is too flaky on mp in CI")
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timeout = 7 if platform.system() in ('Windows', 'Darwin') else 4
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start = time.time()
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results = tractor.run(cancel_after, timeout, arbiter_addr=arb_addr)
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diff = time.time() - start
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assert results
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return results, diff
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def test_a_quadruple_example(time_quad_ex, ci_env, spawn_backend):
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"""This also serves as a kind of "we'd like to be this fast test"."""
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results, diff = time_quad_ex
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assert results
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this_fast = 6 if platform.system() in ('Windows', 'Darwin') else 2.5
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assert diff < this_fast
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@pytest.mark.parametrize(
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'cancel_delay',
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list(map(lambda i: i/10, range(3, 9)))
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)
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def test_not_fast_enough_quad(
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arb_addr, time_quad_ex, cancel_delay, ci_env, spawn_backend
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):
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"""Verify we can cancel midway through the quad example and all actors
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cancel gracefully.
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"""
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results, diff = time_quad_ex
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delay = max(diff - cancel_delay, 0)
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results = tractor.run(cancel_after, delay, arbiter_addr=arb_addr)
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system = platform.system()
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if system in ('Windows', 'Darwin') and results is not None:
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# In CI envoirments it seems later runs are quicker then the first
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# so just ignore these
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print(f"Woa there {system} caught your breath eh?")
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else:
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# should be cancelled mid-streaming
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assert results is None
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