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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,62 +1,61 @@ | ||
| # Licensed to Modin Development Team under one or more contributor license agreements. | ||
| # See the NOTICE file distributed with this work for additional information regarding | ||
| # copyright ownership. The Modin Development Team licenses this file to you under the | ||
| # Apache License, Version 2.0 (the "License"); you may not use this file except in | ||
| # compliance with the License. You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software distributed under | ||
| # the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF | ||
| # ANY KIND, either express or implied. See the License for the specific language | ||
| # governing permissions and limitations under the License. | ||
|
|
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| import unittest.mock as mock | ||
|
|
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| import pytest | ||
|
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| import modin.pandas as pd | ||
| from modin.config import Engine | ||
|
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| engine = Engine.get() | ||
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| # We have to explicitly mock subclass implementations of wait_partitions. | ||
| if engine == "Ray": | ||
| wait_method = ( | ||
| "modin.core.execution.ray.implementations." | ||
| + "pandas_on_ray.partitioning." | ||
| + "PandasOnRayDataframePartitionManager.wait_partitions" | ||
| ) | ||
| elif engine == "Dask": | ||
| wait_method = ( | ||
| "modin.core.execution.dask.implementations." | ||
| + "pandas_on_dask.partitioning." | ||
| + "PandasOnDaskDataframePartitionManager.wait_partitions" | ||
| ) | ||
| elif engine == "Unidist": | ||
| wait_method = ( | ||
| "modin.core.execution.unidist.implementations." | ||
| + "pandas_on_unidist.partitioning." | ||
| + "PandasOnUnidistDataframePartitionManager.wait_partitions" | ||
| ) | ||
| else: | ||
| wait_method = ( | ||
| "modin.core.dataframe.pandas.partitioning." | ||
| + "partition_manager.PandasDataframePartitionManager.wait_partitions" | ||
| import sys | ||
| import mpi4py | ||
|
|
||
| mpi4py.rc(recv_mprobe=False, initialize=False) | ||
| from mpi4py import MPI # noqa: E402 | ||
|
|
||
| ######################## | ||
| # Threads initializing # | ||
| ######################## | ||
|
|
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| MPI.Init_thread() | ||
|
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| comm = MPI.COMM_WORLD | ||
| rank = comm.Get_rank() | ||
| size = comm.Get_size() | ||
|
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| parent_comm = MPI.Comm.Get_parent() | ||
|
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| if rank == 0 and parent_comm == MPI.COMM_NULL and size == 1: | ||
| nprocs_to_spawn = 4 | ||
| args = ["reproducer.py"] | ||
| info = MPI.Info.Create() | ||
| intercomm = MPI.COMM_SELF.Spawn( | ||
| sys.executable, | ||
| args, | ||
| maxprocs=nprocs_to_spawn, | ||
| info=info, | ||
| root=rank, | ||
| ) | ||
|
|
||
| ####################### | ||
| # Merge communicators # | ||
| ####################### | ||
|
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| @pytest.mark.parametrize("set_benchmark_mode", [False], indirect=True) | ||
| def test_turn_off(set_benchmark_mode): | ||
| df = pd.DataFrame([0]) | ||
| with mock.patch(wait_method) as wait: | ||
| df.dropna() | ||
| wait.assert_not_called() | ||
|
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|
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| @pytest.mark.parametrize("set_benchmark_mode", [True], indirect=True) | ||
| def test_turn_on(set_benchmark_mode): | ||
| df = pd.DataFrame([0]) | ||
| with mock.patch(wait_method) as wait: | ||
| df.dropna() | ||
| wait.assert_called() | ||
| # Just comment the foollowing block if you want to run without communicators merging. | ||
| if parent_comm != MPI.COMM_NULL: | ||
| comm = parent_comm.Merge(high=True) | ||
| else: | ||
| comm = intercomm.Merge(high=False) | ||
|
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| # rank = comm.Get_rank() | ||
| # size = comm.Get_size() | ||
|
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| # if rank == 0: | ||
| # print(f"size = {size}") | ||
| # data = {"a": 1} | ||
| # for r in range(2, size): | ||
| # comm.send(data, dest=r, tag=11) | ||
| # comm.send(data, dest=r, tag=12) | ||
| # data2 = comm.recv(source=r, tag=11) | ||
| # data2 = comm.recv(source=r, tag=12) | ||
| # elif rank == 1: | ||
|
|
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| # else: | ||
| # data = comm.recv(source=0, tag=11) | ||
| # data = comm.recv(source=0, tag=12) | ||
| # comm.send(data, dest=0, tag=11) | ||
| # comm.send(data, dest=0, tag=12) | ||
|
|
||
| if not MPI.Is_finalized(): | ||
| MPI.Finalize() |
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