Unverified Commit e489ad7a authored by Russell Bryant's avatar Russell Bryant Committed by GitHub
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[Misc] Add SPDX-License-Identifier headers to python source files (#12628)

- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**

commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:18:24 2025 -0500

    Add SPDX license headers to python source files
    
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
    also be easily used by tools to help manage license compliance.
    
The Linux Foundation runs license scans against the codebase to help
ensure
    we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
    
    More information can be found on the SPDX site:
    
    - https://spdx.dev/learn/handling-license-info/

Signed-off-by: default avatarRussell Bryant <rbryant@redhat.com>

commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:36:32 2025 -0500

    Check for SPDX headers using pre-commit
Signed-off-by: default avatarRussell Bryant <rbryant@redhat.com>

---------
Signed-off-by: default avatarRussell Bryant <rbryant@redhat.com>
parent f256ebe4
# SPDX-License-Identifier: Apache-2.0
import argparse
import dataclasses
import json
......
# SPDX-License-Identifier: Apache-2.0
import importlib
import traceback
from typing import Callable
......
# SPDX-License-Identifier: Apache-2.0
msg = """Old style python only build (without compilation) is deprecated, please check https://docs.vllm.ai/en/latest/getting_started/installation.html#python-only-build-without-compilation for the new way to do python only build (without compilation).
TL;DR:
......
# SPDX-License-Identifier: Apache-2.0
import ctypes
import importlib.util
import logging
......
# SPDX-License-Identifier: Apache-2.0
"""vllm.entrypoints.api_server with some extra logging for testing."""
from typing import Any, Dict, Iterable
......
# SPDX-License-Identifier: Apache-2.0
import subprocess
import sys
import time
......
# SPDX-License-Identifier: Apache-2.0
import asyncio
import os
import uuid
......
# SPDX-License-Identifier: Apache-2.0
import pytest
from vllm.engine.async_llm_engine import RequestTracker
......
# SPDX-License-Identifier: Apache-2.0
"""Compare the short outputs of HF and vLLM when using greedy sampling.
Run `pytest tests/basic_correctness/test_basic_correctness.py`.
......
# SPDX-License-Identifier: Apache-2.0
"""Compare the outputs of HF and vLLM when using greedy sampling.
It tests chunked prefill. Chunked prefill can be enabled by
......
# SPDX-License-Identifier: Apache-2.0
from ..utils import compare_two_settings
......
# SPDX-License-Identifier: Apache-2.0
import torch
from vllm import LLM, SamplingParams
......
# SPDX-License-Identifier: Apache-2.0
"""Compare the short outputs of HF and vLLM when using greedy sampling.
VLLM_TEST_ENABLE_ARTIFICIAL_PREEMPT=1 has to be set before running this test.
......
# SPDX-License-Identifier: Apache-2.0
from copy import deepcopy
from typing import Callable, Union
......
# SPDX-License-Identifier: Apache-2.0
"""
Test the piecewise compilation with a simple model so that we
can exactly calculate the expected output and side effects.
......
# SPDX-License-Identifier: Apache-2.0
"""
Test the piecewise compilation with a simple model, comparing the output
with and without the piecewise compilation.
......
# SPDX-License-Identifier: Apache-2.0
import dataclasses
from typing import Dict, List, Optional
......
# SPDX-License-Identifier: Apache-2.0
import pytest
from vllm.config import CompilationLevel
......
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
......
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
from compressed_tensors.quantization import FP8_DTYPE
......
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