chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:17:40 +08:00
commit f1825c8ceb
10096 changed files with 2364182 additions and 0 deletions
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"""
A dummy ray driver script that executes in subprocess.
Prints global worker's `load_code_from_local` property that ought to be set
whenever `JobConfig.code_search_path` is specified
"""
def run():
import ray
from ray.job_config import JobConfig
ray.init(job_config=JobConfig(code_search_path=["/home/code/"]))
@ray.remote
def foo() -> bool:
return ray._private.worker.global_worker.load_code_from_local
load_code_from_local = ray.get(foo.remote())
statement = "propagated" if load_code_from_local else "NOT propagated"
# Step 1: Print the statement indicating that the code_search_path have been
# properly respected
print(f"Code search path is {statement}")
# Step 2: Print the whole runtime_env to validate that it's been passed
# appropriately from submit_job API
print(ray.get_runtime_context().runtime_env)
if __name__ == "__main__":
run()
@@ -0,0 +1,22 @@
import os
import ray
cuda_env = ray._private.accelerators.nvidia_gpu.NOSET_CUDA_VISIBLE_DEVICES_ENV_VAR
if os.environ.get("RAY_TEST_RESOURCES_SPECIFIED") == "1":
assert cuda_env not in os.environ
if os.environ.get("RAY_TEST_GPUS_SPECIFIED") == "1":
assert "CUDA_VISIBLE_DEVICES" in os.environ
else:
assert "CUDA_VISIBLE_DEVICES" not in os.environ
else:
assert os.environ[cuda_env] == "1"
@ray.remote
def f():
assert cuda_env not in os.environ
# Will raise if task fails.
ray.get(f.remote())
@@ -0,0 +1,23 @@
"""
A dummy ray driver script that executes in subprocess.
Checks that job manager's environment variable is different.
"""
import os
import ray
def run():
ray.init()
@ray.remote
def foo():
print("worker", os.nice(0))
ray.get(foo.remote())
if __name__ == "__main__":
print("driver", os.nice(0))
run()
@@ -0,0 +1,13 @@
import ray
ray.init()
@ray.remote(num_cpus=1)
def f():
pass
print("Hanging...")
ray.get(f.remote())
print("Success!")
@@ -0,0 +1,58 @@
import argparse
import sys
import time
import ray
# This prefix is used to identify the output log line that contains the runtime env.
RUNTIME_ENV_LOG_LINE_PREFIX = "ray_job_test_runtime_env_output:"
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Dashboard agent.")
parser.add_argument(
"--conflict",
type=str,
)
parser.add_argument(
"--worker-process-setup-hook",
type=str,
)
args = parser.parse_args()
if args.worker_process_setup_hook:
ray.init(
runtime_env={
"worker_process_setup_hook": lambda: print(
args.worker_process_setup_hook
)
}
)
@ray.remote
def f():
pass
ray.get(f.remote())
time.sleep(5)
sys.exit(0)
if args.conflict == "pip":
ray.init(runtime_env={"pip": ["numpy"]})
print(
RUNTIME_ENV_LOG_LINE_PREFIX + ray._private.worker.global_worker.runtime_env
)
elif args.conflict == "env_vars":
ray.init(runtime_env={"env_vars": {"A": "1"}})
print(
RUNTIME_ENV_LOG_LINE_PREFIX + ray._private.worker.global_worker.runtime_env
)
else:
ray.init(
runtime_env={
"env_vars": {"C": "1"},
}
)
print(
RUNTIME_ENV_LOG_LINE_PREFIX + ray._private.worker.global_worker.runtime_env
)
@@ -0,0 +1,27 @@
"""
Test script that attempts to set its own runtime_env, but we should ensure
we ended up using job submission API call's runtime_env instead of scripts
"""
def run():
import os
import ray
ray.init(
runtime_env={
"env_vars": {"TEST_SUBPROCESS_JOB_CONFIG_ENV_VAR": "SHOULD_BE_OVERRIDEN"}
},
)
@ray.remote
def foo():
return "bar"
ray.get(foo.remote())
print(os.environ.get("TEST_SUBPROCESS_JOB_CONFIG_ENV_VAR", None))
if __name__ == "__main__":
run()
@@ -0,0 +1,26 @@
import os
import ray
def run():
ray.init()
@ray.remote(runtime_env={"env_vars": {"FOO": "bar"}})
def get_task_working_dir():
# Check behavior of working_dir: The cwd should contain the
# current file, which is being used as a job entrypoint script.
assert os.path.exists("per_task_runtime_env.py")
return ray.get_runtime_context().runtime_env.working_dir()
driver_working_dir = ray.get_runtime_context().runtime_env.working_dir()
task_working_dir = ray.get(get_task_working_dir.remote())
assert driver_working_dir == task_working_dir, (
driver_working_dir,
task_working_dir,
)
if __name__ == "__main__":
run()
@@ -0,0 +1,22 @@
"""
A dummy ray driver script that executes in subprocess. Prints namespace
from ray's runtime context for job submission API testing.
"""
import ray
def run():
ray.init()
@ray.remote
def foo():
return "bar"
ray.get(foo.remote())
print(ray.get_runtime_context().namespace)
if __name__ == "__main__":
run()
@@ -0,0 +1,22 @@
"""
A dummy ray driver script that executes in subprocess. Prints runtime_env
from ray's runtime context for job submission API testing.
"""
import ray
def run():
ray.init()
@ray.remote
def foo():
return "bar"
ray.get(foo.remote())
print(ray.get_runtime_context().runtime_env)
if __name__ == "__main__":
run()
@@ -0,0 +1,15 @@
"""Tests that Ray Tune works with the working_dir set in Jobs.
Ray Tune internally sets environment variables using runtime_env.
If the inherited internal runtime environment overwrites the working_dir
from jobs with an empty working_dir, this test will fail. See #25484"""
from ray_tune_dependency import foo
from ray import tune
def objective(*args):
foo()
tune.run(objective)
@@ -0,0 +1,5 @@
"""A file dependency for testing working_dir behavior with Ray Tune."""
def foo():
pass
@@ -0,0 +1,6 @@
def run():
raise Exception("Script failed with exception !")
if __name__ == "__main__":
run()