* Studio: add Vulkan llama.cpp support * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Address gemini's feedback * Studio: move the Vulkan VRAM probe into a standalone script * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Improve Vulkan probe error reporting * Resolve llama-server symlink so Vulkan build is detected * Drop unreachable Vulkan fallback in GPU free-memory dispatcher * Skip the Intel GPU probe when NVIDIA or ROCm is present * Reserve host RAM headroom for Vulkan integrated GPUs * Add a `UNSLOTH_FORCE_VULKAN` environment variable * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Honor GGML_VK_VISIBLE_DEVICES, reserve discrete Vulkan VRAM headroom, and clear Intel GPU on --cpu-fallback * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Route Intel and forced-Vulkan hosts to the upstream Vulkan prebuilt, add arm64 Vulkan, keep Vulkan out of RAG auto-detect * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Clear the fork release pin when routing a Vulkan host to the upstream repo * Gate auto-Vulkan routing on no physical NVIDIA so hidden CUDA devices aren't used * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Pin Vulkan launches with --device Vulkan<i> instead of the raw GGML_VK_VISIBLE_DEVICES index space * Let user --device override the Vulkan pin, and gate direct Vulkan asset picks on no physical NVIDIA * Update RAG auto-backend test mocks for the _resolve_auto binary and Vulkan probes * Keep the add_dll_directory handle alive through the Vulkan probe DLL loads * Revert RAG auto Vulkan guard, guard multi-backend Vulkan detection, and preserve forced Vulkan across updates * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Use getattr for RTLD_GLOBAL in the Vulkan probe CDLL mode * Skip CUDA/ROCm APU and datacenter GPU tuning on Vulkan builds On a Vulkan llama.cpp build gpu_indices are ggml compact ordinals, not CUDA/ROCm physical ids, so _amd_apu_wants_unified_memory and _apply_datacenter_env were reading the wrong device. On a mixed AMD APU plus discrete GPU host that could raise a spurious system-RAM shortfall and block a valid discrete-GPU load. Gate all three call sites on not is_vulkan_backend; the Vulkan path already reserves iGPU host headroom and the backend ignores GGML_CUDA_* anyway. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Tighten Vulkan-guard comment in load_model * Reduce comments in Vulkan support to be more succinct * Resolve shell-wrapper llama-server entrypoint to the real lib dir create_exec_entrypoint falls back to a #!/bin/sh wrapper at the install root when it cannot symlink into build/bin. _find_llama_server_binary returns that root entrypoint, but Path.resolve() does not follow a shell wrapper, so _llama_lib_dir returned the install root and _is_vulkan_backend missed libggml-vulkan.so -- silently skipping the Vulkan probe and --device pin on an otherwise valid Vulkan install. Follow the wrapper's exec target to build/bin. Regression test: test_shell_wrapper_entrypoint_resolves_to_real_lib_dir. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Lee Jackson <130007945+Imagineer99@users.noreply.github.com> Co-authored-by: danielhanchen <danielhanchen@gmail.com>
485 lines
18 KiB
Python
485 lines
18 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-only
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# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
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"""install_llama_prebuilt.py: the --resolve-prebuilt probe (plans against the fork
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by default; --published-repo overrides).
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These back the in-app update for source-build (markerless) installs: the backend
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asks the installer whether an official prebuilt exists for this host without
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downloading. Network and host detection are stubbed; no GPU or internet needed.
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"""
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from __future__ import annotations
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import importlib
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import json
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import sys
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from pathlib import Path
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from types import SimpleNamespace
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import pytest
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_studio = Path(__file__).resolve().parent.parent.parent
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if str(_studio) not in sys.path:
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sys.path.insert(0, str(_studio))
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ilp = importlib.import_module("install_llama_prebuilt")
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if not hasattr(ilp, "resolve_simple_install_release_plans"):
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pytest.skip("PR symbols not present - check branch", allow_module_level = True)
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FORK = ilp.DEFAULT_PUBLISHED_REPO # unslothai/llama.cpp
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UPSTREAM = ilp.UPSTREAM_REPO # ggml-org/llama.cpp
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def _host(**kw):
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base = dict(
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system = "Linux",
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machine = "x86_64",
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is_windows = False,
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is_linux = False,
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is_macos = False,
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is_x86_64 = False,
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is_arm64 = False,
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nvidia_smi = None,
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driver_cuda_version = None,
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compute_caps = [],
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visible_cuda_devices = None,
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has_physical_nvidia = False,
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has_usable_nvidia = False,
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has_rocm = False,
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rocm_gfx_target = None,
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macos_version = None,
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)
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base.update(kw)
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return ilp.HostInfo(**base)
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def test_force_cpu_clears_all_gpu_attributes_including_intel():
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# --cpu-fallback is the "select the CPU prebuilt even when a GPU is present"
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# escape hatch. It must drop EVERY GPU attribute, including has_intel_gpu, or
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# the planner still prepends the Vulkan asset on an Intel-GPU host.
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host = _host(
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is_linux = True,
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is_x86_64 = True,
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has_usable_nvidia = True,
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has_physical_nvidia = True,
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has_rocm = True,
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rocm_gfx_target = "gfx1100",
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has_intel_gpu = True,
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)
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forced = ilp._apply_host_overrides(host, force_cpu = True)
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assert forced.has_usable_nvidia is False
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assert forced.has_physical_nvidia is False
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assert forced.has_rocm is False
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assert forced.rocm_gfx_target is None
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assert forced.has_intel_gpu is False
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def test_macos_upstream_pin_only_for_explicit_pre26_upstream():
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pre26 = _host(
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system = "Darwin",
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is_macos = True,
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is_arm64 = True,
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machine = "arm64",
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macos_version = (15, 5),
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)
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assert ilp.pinned_macos_release_tag(pre26, UPSTREAM) == "b9415"
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assert ilp.pinned_macos_release_tag(pre26, FORK) is None
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tahoe = _host(
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system = "Darwin",
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is_macos = True,
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is_arm64 = True,
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machine = "arm64",
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macos_version = (26, 0),
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)
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assert ilp.pinned_macos_release_tag(tahoe, UPSTREAM) is None
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def _run_resolve(monkeypatch, capsys, plans_or_exc):
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monkeypatch.setattr(
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ilp,
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"detect_host",
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lambda: _host(system = "Darwin", is_macos = True, is_arm64 = True, machine = "arm64"),
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)
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def _resolver(tag, host, repo, published_release_tag):
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if isinstance(plans_or_exc, Exception):
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raise plans_or_exc
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return ("b9585", plans_or_exc)
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monkeypatch.setattr(ilp, "resolve_simple_install_release_plans", _resolver)
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monkeypatch.setattr(
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sys,
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"argv",
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["install_llama_prebuilt.py", "--resolve-prebuilt", "latest", "--output-format", "json"],
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)
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rc = ilp.main()
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assert rc == ilp.EXIT_SUCCESS
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return json.loads(capsys.readouterr().out.strip().splitlines()[-1])
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def test_resolve_prebuilt_available(monkeypatch, capsys):
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plan = SimpleNamespace(
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release_tag = "b9585",
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llama_tag = "b9585",
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attempts = [
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SimpleNamespace(name = "llama-b9585-bin-macos-arm64.tar.gz", install_kind = "macos-arm64")
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],
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)
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out = _run_resolve(monkeypatch, capsys, [plan])
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assert out["prebuilt_available"] is True
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assert out["repo"] == FORK
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assert out["release_tag"] == "b9585"
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assert out["asset"] == "llama-b9585-bin-macos-arm64.tar.gz"
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assert out["install_kind"] == "macos-arm64"
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def test_resolve_prebuilt_unavailable(monkeypatch, capsys):
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out = _run_resolve(monkeypatch, capsys, ilp.PrebuiltFallback("no macOS asset"))
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assert out["prebuilt_available"] is False
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assert out["repo"] == FORK
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def _run_resolve_capture_host(monkeypatch, capsys):
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"""Drive --resolve-prebuilt and return the host the resolver was handed."""
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seen = {}
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def _resolver(tag, host, repo, published_release_tag):
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seen["repo"] = repo
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seen["host"] = host
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raise ilp.PrebuiltFallback("no asset")
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monkeypatch.setattr(ilp, "resolve_simple_install_release_plans", _resolver)
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monkeypatch.setattr(
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sys,
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"argv",
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["install_llama_prebuilt.py", "--resolve-prebuilt", "latest", "--output-format", "json"],
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)
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assert ilp.main() == ilp.EXIT_SUCCESS
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out = json.loads(capsys.readouterr().out.strip().splitlines()[-1])
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return seen, out
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def test_resolve_prebuilt_cpu_linux_routes_to_fork(monkeypatch, capsys):
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# CPU-only Linux host (no GPU): the dispatch routes to the fork, which now
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# ships the CPU prebuilt -- it no longer falls back to ggml-org upstream.
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monkeypatch.setattr(ilp, "detect_host", lambda: _host(is_linux = True, is_x86_64 = True))
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seen, out = _run_resolve_capture_host(monkeypatch, capsys)
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assert seen["repo"] == FORK
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assert out["repo"] == FORK
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def test_resolve_prebuilt_rocm_sdk_only_host_still_offered_cpu(monkeypatch, capsys):
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# A CPU-only host that merely has ROCm/HIP SDK tools on PATH (no AMD GPU, so
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# detect_host leaves has_rocm False) is a valid CPU-prebuilt target. The probe
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# must NOT reclassify it as ROCm from tool presence alone and suppress the CPU
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# bundle -- that would deny the fork CPU prebuilt to a legitimate CPU source
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# build. The host is left CPU-only and resolves against the fork.
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monkeypatch.setattr(ilp, "detect_host", lambda: _host(is_linux = True, is_x86_64 = True))
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monkeypatch.setattr(
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ilp.shutil, "which", lambda tool: "/opt/rocm/bin/hipconfig" if tool == "hipconfig" else None
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)
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seen, out = _run_resolve_capture_host(monkeypatch, capsys)
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assert seen["repo"] == FORK
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assert seen["host"].has_rocm is False
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# Blackwell floor is sm_100 (data-center B100/B200, B300/GB300), below consumer
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# sm_120 -- 120 wrongly excluded data-center hosts from the prebuilt selection.
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def _gpu_linux_host(caps):
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return _host(
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is_linux = True,
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is_x86_64 = True,
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has_physical_nvidia = True,
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has_usable_nvidia = True,
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driver_cuda_version = (13, 1),
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compute_caps = caps,
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)
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def test_host_is_blackwell_includes_datacenter_parts():
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assert ilp._host_is_blackwell(_gpu_linux_host(["10.0"])) is True # B200 sm_100
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assert ilp._host_is_blackwell(_gpu_linux_host(["10.3"])) is True # B300 sm_103
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assert ilp._host_is_blackwell(_gpu_linux_host(["12.0"])) is True # RTX 50 sm_120
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assert ilp._host_is_blackwell(_gpu_linux_host(["12.1"])) is True # DGX Spark sm_121
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assert ilp._host_is_blackwell(_gpu_linux_host(["9.0"])) is False # Hopper
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assert ilp._host_is_blackwell(_gpu_linux_host(["8.0"])) is False # Ampere
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assert ilp._host_is_blackwell(_gpu_linux_host(["9.0", "10.0"])) is True # highest cap wins
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def _linux_cuda_artifact(runtime_line, supported_sms, min_sm, max_sm, profile):
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return ilp.PublishedLlamaArtifact(
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asset_name = f"app-b9739-linux-x64-{profile}.tar.gz",
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install_kind = "linux-cuda",
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runtime_line = runtime_line,
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coverage_class = "newer",
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supported_sms = supported_sms,
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min_sm = min_sm,
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max_sm = max_sm,
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bundle_profile = profile,
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rank = 50,
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)
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def test_linux_blackwell_override_prefers_cuda13_for_datacenter(monkeypatch):
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# Both bundles cover sm_100 and torch reports cuda12, so coverage alone can't
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# decide -- only the sm_100 Blackwell floor lifts cuda13 to the front.
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cuda12 = _linux_cuda_artifact(
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"cuda12", ["86", "89", "90", "100", "120"], 86, 120, "cuda12-newer"
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)
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cuda13 = _linux_cuda_artifact(
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"cuda13", ["86", "89", "90", "100", "103", "120"], 86, 120, "cuda13-newer"
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)
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release = ilp.PublishedReleaseBundle(
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repo = FORK,
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release_tag = "b9739-mix",
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upstream_tag = "b9739",
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assets = {cuda12.asset_name: "https://x/cuda12", cuda13.asset_name: "https://x/cuda13"},
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artifacts = [cuda12, cuda13],
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)
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monkeypatch.setattr(
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ilp,
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"detected_linux_runtime_lines",
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lambda: (["cuda13", "cuda12"], {"cuda13": ["/usr/lib"], "cuda12": ["/usr/lib"]}),
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)
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selection = ilp.linux_cuda_choice_from_release(
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_gpu_linux_host(["10.0"]), release, preferred_runtime_line = "cuda12"
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)
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assert selection is not None
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assert selection.primary.runtime_line == "cuda13"
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assert selection.primary.bundle_profile == "cuda13-newer"
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def test_drop_blackwell_incapable_windows_cuda_applies_to_datacenter():
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# B200 (sm_100) on Windows must drop the cuda-12.4 build and keep cuda13.
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host = _host(
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system = "Windows",
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is_windows = True,
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is_x86_64 = True,
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has_physical_nvidia = True,
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has_usable_nvidia = True,
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compute_caps = ["10.0"],
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)
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cuda124 = ilp.AssetChoice(
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repo = FORK,
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tag = "b9739",
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name = "llama-b9739-bin-win-cuda-12.4-x64.zip",
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url = "https://x/124",
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source_label = "published",
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install_kind = "windows-cuda",
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)
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cuda13 = ilp.AssetChoice(
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repo = FORK,
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tag = "b9739",
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name = "app-b9739-windows-x64-cuda13-newer.zip",
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url = "https://x/13",
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source_label = "published",
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install_kind = "windows-cuda",
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max_sm = 120,
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)
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kept = ilp._drop_blackwell_incapable_windows_cuda(host, [cuda124, cuda13])
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assert [a.name for a in kept] == [cuda13.name]
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def test_blackwell_min_toolkit_is_sm_aware():
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# Family floor is 12.8; sm_103/sm_121 (no native target before 12.9) lift it.
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f = ilp._blackwell_min_toolkit_for_host
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assert f(_gpu_linux_host(["10.0"])) == (12, 8) # B200
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assert f(_gpu_linux_host(["12.0"])) == (12, 8) # RTX 50
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assert f(_gpu_linux_host(["10.3"])) == (12, 9) # B300
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assert f(_gpu_linux_host(["12.1"])) == (12, 9) # DGX Spark
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assert f(_gpu_linux_host(["10.0", "10.3"])) == (12, 9) # max across SMs wins
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def test_sm103_host_drops_cuda128_windows_build():
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# B300 (sm_103) needs cuda-12.9: a legacy win-cuda-12.8 build must be dropped.
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host = _host(
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system = "Windows",
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is_windows = True,
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is_x86_64 = True,
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has_physical_nvidia = True,
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has_usable_nvidia = True,
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compute_caps = ["10.3"],
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)
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cuda128 = ilp.AssetChoice(
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repo = FORK,
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tag = "b9739",
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name = "llama-b9739-bin-win-cuda-12.8-x64.zip",
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url = "https://x/128",
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source_label = "published",
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install_kind = "windows-cuda",
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)
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cuda129 = ilp.AssetChoice(
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repo = FORK,
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tag = "b9739",
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name = "llama-b9739-bin-win-cuda-12.9-x64.zip",
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url = "https://x/129",
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source_label = "published",
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install_kind = "windows-cuda",
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)
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kept = ilp._drop_blackwell_incapable_windows_cuda(host, [cuda128, cuda129])
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assert [a.name for a in kept] == [cuda129.name]
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# sm_100 stays on the 12.8 family floor and keeps the same 12.8 build.
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b200 = _host(
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system = "Windows",
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is_windows = True,
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is_x86_64 = True,
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has_physical_nvidia = True,
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has_usable_nvidia = True,
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compute_caps = ["10.0"],
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)
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kept_b200 = ilp._drop_blackwell_incapable_windows_cuda(b200, [cuda128, cuda129])
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assert [a.name for a in kept_b200] == [cuda128.name, cuda129.name]
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def _upstream_release(tag, asset_names):
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return {
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"tag_name": tag,
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"assets": [
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{"name": n, "browser_download_url": f"https://example/{n}"} for n in asset_names
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],
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}
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def test_direct_upstream_arm64_intel_prefers_vulkan():
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# Auto-detected Intel GPU on Linux arm64 -> Vulkan prebuilt first, CPU
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# second (mirrors the x86_64 branch; ggml-org ships the arm64 Vulkan asset).
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host = _host(is_linux = True, is_arm64 = True, machine = "aarch64", has_intel_gpu = True)
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rel = _upstream_release(
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"b9925",
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["llama-b9925-bin-ubuntu-vulkan-arm64.tar.gz", "llama-b9925-bin-ubuntu-arm64.tar.gz"],
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)
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plan = ilp.direct_upstream_release_plan(rel, host, UPSTREAM, "latest")
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kinds = [a.install_kind for a in plan.attempts]
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assert kinds[0] == "linux-vulkan", kinds
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assert "linux-arm64" in kinds
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assert plan.attempts[0].name == "llama-b9925-bin-ubuntu-vulkan-arm64.tar.gz"
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def test_direct_upstream_intel_with_hidden_nvidia_is_cpu_only():
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# A host with a physical NVIDIA hidden via CUDA_VISIBLE_DEVICES (physical
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# True, usable False) + an Intel iGPU must NOT get the Vulkan archive even
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# when planning directly against upstream: Vulkan ignores CUDA_VISIBLE_DEVICES
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# and could grab the reserved card. It falls through to the CPU asset.
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host = _host(
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is_linux = True,
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is_x86_64 = True,
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has_intel_gpu = True,
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has_physical_nvidia = True,
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has_usable_nvidia = False,
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)
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rel = _upstream_release(
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"b9925",
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["llama-b9925-bin-ubuntu-vulkan-x64.tar.gz", "llama-b9925-bin-ubuntu-x64.tar.gz"],
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|
)
|
|
plan = ilp.direct_upstream_release_plan(rel, host, UPSTREAM, "latest")
|
|
assert [a.install_kind for a in plan.attempts] == ["linux-cpu"]
|
|
|
|
|
|
def test_direct_upstream_arm64_without_intel_is_cpu_only():
|
|
host = _host(is_linux = True, is_arm64 = True, machine = "aarch64")
|
|
rel = _upstream_release(
|
|
"b9925",
|
|
["llama-b9925-bin-ubuntu-vulkan-arm64.tar.gz", "llama-b9925-bin-ubuntu-arm64.tar.gz"],
|
|
)
|
|
plan = ilp.direct_upstream_release_plan(rel, host, UPSTREAM, "latest")
|
|
assert [a.install_kind for a in plan.attempts] == ["linux-arm64"]
|
|
|
|
|
|
def test_direct_upstream_x86_intel_prefers_vulkan():
|
|
host = _host(is_linux = True, is_x86_64 = True, has_intel_gpu = True)
|
|
rel = _upstream_release(
|
|
"b9925",
|
|
["llama-b9925-bin-ubuntu-vulkan-x64.tar.gz", "llama-b9925-bin-ubuntu-x64.tar.gz"],
|
|
)
|
|
plan = ilp.direct_upstream_release_plan(rel, host, UPSTREAM, "latest")
|
|
kinds = [a.install_kind for a in plan.attempts]
|
|
assert kinds[0] == "linux-vulkan", kinds
|
|
assert "linux-cpu" in kinds
|
|
|
|
|
|
def test_linux_vulkan_health_glob_matches_bare_cpu_lib():
|
|
# The widened glob must cover both arch-suffixed (x64) and bare (arm64) CPU
|
|
# libs so a valid Vulkan install is not re-flagged unhealthy every check.
|
|
choice = ilp.AssetChoice(
|
|
repo = UPSTREAM,
|
|
tag = "b9925",
|
|
name = "llama-b9925-bin-ubuntu-vulkan-arm64.tar.gz",
|
|
url = "https://example/x",
|
|
source_label = "upstream",
|
|
install_kind = "linux-vulkan",
|
|
)
|
|
groups = ilp.runtime_payload_health_groups(choice)
|
|
assert ["libggml-cpu*.so*"] in groups
|
|
assert ["libggml-cpu-*.so*"] not in groups
|
|
|
|
|
|
def test_route_to_vulkan_prebuilt_auto_intel_goes_upstream_and_drops_fork_pin():
|
|
# Routing fork -> upstream also drops the fork release pin, which is in a
|
|
# different tag namespace and would make the upstream resolver miss.
|
|
host = _host(is_linux = True, is_x86_64 = True, has_intel_gpu = True)
|
|
routed, repo, tag = ilp._route_to_vulkan_prebuilt(host, FORK, "b9596-mix-abc", force_cpu = False)
|
|
assert repo == UPSTREAM
|
|
assert tag == ""
|
|
assert routed.has_intel_gpu is True
|
|
|
|
|
|
def test_route_to_vulkan_prebuilt_preserves_explicit_upstream_pin():
|
|
# A pin set WITH an explicit upstream repo is already on upstream -> kept.
|
|
host = _host(is_linux = True, is_x86_64 = True, has_intel_gpu = True)
|
|
_routed, repo, tag = ilp._route_to_vulkan_prebuilt(host, UPSTREAM, "b9596", force_cpu = False)
|
|
assert repo == UPSTREAM
|
|
assert tag == "b9596"
|
|
|
|
|
|
def test_route_to_vulkan_prebuilt_cpu_fallback_wins():
|
|
# --cpu-fallback suppresses Vulkan routing even for an Intel host.
|
|
host = _host(is_linux = True, is_x86_64 = True, has_intel_gpu = True)
|
|
routed, repo, tag = ilp._route_to_vulkan_prebuilt(host, FORK, "b9596-mix-abc", force_cpu = True)
|
|
assert repo == FORK
|
|
assert tag == "b9596-mix-abc"
|
|
assert routed is host
|
|
|
|
|
|
def test_route_to_vulkan_prebuilt_hidden_nvidia_not_rerouted():
|
|
# A mixed NVIDIA+Intel host that hid NVIDIA (CUDA_VISIBLE_DEVICES=""/-1):
|
|
# physical NVIDIA present but not usable. Must NOT auto-route to Vulkan, or
|
|
# Vulkan (which ignores CUDA_VISIBLE_DEVICES) could grab the reserved GPU.
|
|
host = _host(
|
|
is_linux = True,
|
|
is_x86_64 = True,
|
|
has_intel_gpu = True,
|
|
has_physical_nvidia = True,
|
|
has_usable_nvidia = False,
|
|
)
|
|
_routed, repo, _tag = ilp._route_to_vulkan_prebuilt(host, FORK, "", force_cpu = False)
|
|
assert repo == FORK
|
|
|
|
|
|
def test_route_to_vulkan_prebuilt_rocm_host_not_rerouted():
|
|
# An Intel iGPU alongside a usable ROCm GPU stays on its ROCm/fork path.
|
|
host = _host(is_linux = True, is_x86_64 = True, has_intel_gpu = True, has_rocm = True)
|
|
_routed, repo, _tag = ilp._route_to_vulkan_prebuilt(host, FORK, "", force_cpu = False)
|
|
assert repo == FORK
|
|
|
|
|
|
def test_route_to_vulkan_prebuilt_non_intel_unchanged():
|
|
host = _host(is_linux = True, is_x86_64 = True)
|
|
routed, repo, _tag = ilp._route_to_vulkan_prebuilt(host, FORK, "", force_cpu = False)
|
|
assert repo == FORK
|
|
assert routed is host
|
|
|
|
|
|
def test_resolve_prebuilt_intel_host_routes_to_upstream(monkeypatch, capsys):
|
|
# The --resolve-prebuilt probe must agree with the install path: an
|
|
# auto-detected Intel host resolves against upstream (Vulkan), not the fork.
|
|
monkeypatch.setattr(
|
|
ilp, "detect_host", lambda: _host(is_linux = True, is_x86_64 = True, has_intel_gpu = True)
|
|
)
|
|
seen, out = _run_resolve_capture_host(monkeypatch, capsys)
|
|
assert seen["repo"] == UPSTREAM
|
|
assert out["repo"] == UPSTREAM
|