chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,305 @@
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load("@rules_python//python:defs.bzl", "py_library", "py_test")
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load("//bazel:python.bzl", "doctest")
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doctest(
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name = "py_doctest[air]",
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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files = glob(
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["**/*.py"],
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exclude = glob([
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"examples/**/*",
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"tests/**/*",
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"callbacks/*.py",
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]) + ["integrations/wandb.py"],
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),
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tags = ["team:ml"],
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)
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py_library(
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name = "conftest",
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srcs = ["tests/conftest.py"],
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)
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# --------------------------------------------------------------------
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# Tests from the python/ray/air/tests directory.
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# Covers all tests starting with `test_`.
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# Please keep these sorted alphabetically.
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# --------------------------------------------------------------------
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py_test(
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name = "test_air_usage",
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size = "small",
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srcs = ["tests/test_air_usage.py"],
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# NOTE: This tests Train V1 telemetry.
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env = {"RAY_TRAIN_V2_ENABLED": "0"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_new_dataset_config",
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size = "large",
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srcs = ["tests/test_new_dataset_config.py"],
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# NOTE: Relevant tests moved to train/v2/tests/test_data_integration.py
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env = {"RAY_TRAIN_V2_ENABLED": "0"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_experiment_restore",
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size = "large",
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srcs = [
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"tests/_test_experiment_restore_run.py",
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"tests/test_experiment_restore.py",
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],
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# NOTE: This tests Tune and Train V1 restoration.
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env = {"RAY_TRAIN_V2_ENABLED": "0"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_errors",
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size = "medium",
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srcs = ["tests/test_errors.py"],
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# NOTE: This tests Tune (Train V1) error propagation logic.
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env = {"RAY_TRAIN_V2_ENABLED": "0"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_integration_comet",
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size = "small",
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srcs = ["tests/test_integration_comet.py"],
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# NOTE: This tests the Tune Comet callback.
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env = {"RAY_TRAIN_V2_ENABLED": "0"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_integration_wandb",
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size = "small",
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srcs = ["tests/test_integration_wandb.py"],
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# NOTE: This tests the Tune wandb callback.
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env = {"RAY_TRAIN_V2_ENABLED": "0"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_integration_mlflow",
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size = "medium",
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srcs = ["tests/test_integration_mlflow.py"],
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# NOTE: This tests the Tune mlflow callback.
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_keras_callback",
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size = "medium",
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srcs = ["tests/test_keras_callback.py"],
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env = {
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"RAY_TRAIN_V2_ENABLED": "1",
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"TF_USE_LEGACY_KERAS": "1",
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},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_remote_storage_hdfs",
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size = "small",
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srcs = ["tests/test_remote_storage_hdfs.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"hdfs",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_tracebacks",
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size = "small",
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srcs = ["tests/test_tracebacks.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_utils",
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size = "small",
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srcs = ["tests/test_utils.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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# --------------------------------------------------------------------
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# Tests from the python/ray/air/tests/execution directory.
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# Covers all tests starting with `test_`.
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# Please keep these sorted alphabetically.
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# TODO: Move this to Tune.
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# --------------------------------------------------------------------
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py_test(
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name = "test_barrier",
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size = "small",
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srcs = ["tests/execution/test_barrier.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_e2e_train_flow",
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size = "medium",
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srcs = ["tests/execution/test_e2e_train_flow.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_e2e_tune_flow",
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size = "medium",
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srcs = ["tests/execution/test_e2e_tune_flow.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_event_manager",
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size = "medium",
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srcs = ["tests/execution/test_event_manager.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_resource_manager_fixed",
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size = "small",
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srcs = ["tests/execution/test_resource_manager_fixed.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_resource_manager_placement_group",
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size = "medium",
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srcs = ["tests/execution/test_resource_manager_placement_group.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_resource_request",
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size = "small",
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srcs = ["tests/execution/test_resource_request.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_tracked_actor",
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size = "small",
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srcs = ["tests/execution/test_tracked_actor.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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py_test(
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name = "test_tracked_actor_task",
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size = "small",
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srcs = ["tests/execution/test_tracked_actor_task.py"],
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env = {"RAY_TRAIN_V2_ENABLED": "1"},
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tags = [
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"exclusive",
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"team:ml",
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],
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deps = [":ml_lib"],
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)
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# This is a dummy test dependency that causes the above tests to be
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# re-run if any of these files changes.
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py_library(
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name = "ml_lib",
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srcs = glob(
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["**/*.py"],
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exclude = ["tests/*.py"],
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),
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visibility = [
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"//python/ray/air:__pkg__",
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"//python/ray/air:__subpackages__",
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"//python/ray/train:__pkg__",
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"//python/ray/train:__subpackages__",
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"//release:__pkg__",
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],
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)
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