def test_MapWorker_one_failure():
inputs = [protos_pb2.AddXandY(x=2, y=2), protos_pb2.AddXandY(x=10, y=1)]
workers = list(
ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/proto_worker',
input_protos=inputs,
output_proto_class=protos_pb2.AddXandY))
# Two inputs produce two outputs.
assert len(workers) == 2
# Sort the results by input values. The first worker (2 + 2) will be good,
# the second worker (10 + 0) will have failed (see proto_worker.cc for the
# CHECK() macro that causes this failure).
workers = sorted(workers, key=lambda r: r.input().x)
# Check that the first result has the correct values.
assert workers[0].ok()
assert workers[0].output().result == 4
assert workers[0].error() is None
# Check that the failed worker has the correct values.
assert not workers[1].ok()
assert workers[1].output() is None
error = workers[1].error()
assert type(error) is ppar.MapWorkerError
assert error.returncode == 1
def test_MapWorker_binary_args():
"""Test that args are passed to the binary."""
results = list(
ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/proto_worker_requires_args',
[protos_pb2.AddXandY(x=2, y=2)],
protos_pb2.AddXandY,
binary_args=['-required_arg']))
assert len(results) == 1
assert results[0].ok()
# Run again without the required arg, causing the binary to crash.
results = list(
ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/proto_worker_requires_args',
[protos_pb2.AddXandY(x=2, y=2)], protos_pb2.AddXandY))
assert len(results) == 1
assert not results[0].ok()
def test_MapWorker_binary_not_found():
"""Test that FileNotFoundError raised when binary does not exist."""
# Note that calling the function does not raise the error (since it is a
# generator and is evaluated lazily. The error is raised when we attempt to
# read the results.
generator = ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/not/a/real/binary', [protos_pb2.AddXandY()],
protos_pb2.AddXandY)
with pytest.raises(FileNotFoundError):
next(generator)
def test_MapWorker_num_processes():
"""Test running with explicit number of processes."""
results = list(
ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/proto_worker',
[protos_pb2.AddXandY(x=2, y=2)],
protos_pb2.AddXandY,
num_processes=1))
assert len(results) == 1
assert results[0].ok()
assert results[0].output().result == 4
def test_MapWorker_pool():
"""Test that multiprocessing.Pool can be passed to function."""
pool = multiprocessing.Pool(processes=1)
results = list(
ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/proto_worker',
[protos_pb2.AddXandY(x=2, y=2)],
protos_pb2.AddXandY,
pool=pool))
assert len(results) == 1
assert results[0].ok()
assert results[0].output().result == 4
def test_MapWorker_output_decode_error_silently_ignore():
"""Test that message that cannot be decoded is silently ignored."""
inputs = [protos_pb2.AddXandY(x=2, y=2)]
results = list(
ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/unexpected_output_proto_worker', inputs,
protos_pb2.AddXandY))
assert len(results) == 1
assert results[0].ok()
assert not results[0].output().x
assert not results[0].output().y
assert not results[0].output().result
def test_MapWorker_generator_inputs():
"""Test that generator input is accepted."""
def InputGenerator():
"""A generator for MapNativeProtoProcessingBinary() inputs."""
yield protos_pb2.AddXandY(x=1, y=2)
yield protos_pb2.AddXandY(x=2, y=2)
assert len(list(InputGenerator())) == 2
results = list(
ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/proto_worker', InputGenerator(),
protos_pb2.AddXandY))
assert len(results) == 2
def test_MapWorker_wrap_progressbar():
"""Test wrapping the worker generator with a progress bar."""
inputs = [protos_pb2.AddXandY(x=2, y=2), protos_pb2.AddXandY(x=10)]
bar = progressbar.ProgressBar(max_value=len(inputs))
worker_generator = ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/proto_worker',
input_protos=inputs,
output_proto_class=protos_pb2.AddXandY)
map_workers = []
for map_worker in bar(worker_generator):
map_workers.append(map_worker)
# Two inputs produce two outputs.
assert len(map_workers) == 2
def test_MapWorker_okay():
inputs = [protos_pb2.AddXandY(x=2, y=2), protos_pb2.AddXandY(x=0, y=1)]
ret = list(
ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/proto_worker',
input_protos=inputs,
output_proto_class=protos_pb2.AddXandY))
# Two inputs produce two outputs.
assert len(ret) == 2
# Check that both work units completed successfully.
assert ret[0].ok()
assert ret[1].ok()
# Get the output protos.
output_protos = [r.output() for r in ret]
# The proto worker binary does not set the x and y fields.
assert not output_protos[0].x
assert not output_protos[0].y
assert not output_protos[1].x
assert not output_protos[1].y
# Sort the results by input values.
ret = sorted(ret, key=lambda r: r.input().x)
# Check that the input protos are unchanged.
assert not ret[0].input().x
assert ret[0].input().y == 1
assert not ret[0].input().result
assert ret[1].input().x == 2
assert ret[1].input().y == 2
assert not ret[1].input().result
# Check that the output protos have the expected values.
assert not ret[0].output().x
assert not ret[0].output().y
assert ret[0].output().result == 0 + 1
assert not ret[1].output().x
assert not ret[1].output().y
assert ret[1].output().result == 2 + 2
def test_MapWorker_no_inputs():
"""Test that no output is produced when run with no inputs."""
results = list(
ppar.MapNativeProtoProcessingBinary(
'phd/labm8/data/test/ppar/proto_worker', [], protos_pb2.AddXandY))
assert not results
