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test: add Ollama markers and improve test documentation
- Add @pytest.mark.ollama to tests requiring Ollama backend - Update test/README.md with comprehensive marker documentation - Update .gitignore for logs/ and pytest output files
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.gitignore

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*.egg-info
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.vscode/
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# HPC job logs directory (synced from remote)
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logs/
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# Test output files
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pytest_*.stdout
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pytest_*.stderr
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# IDE
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.idea
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docs/examples/aLora/101_example.py

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# pytest: huggingface, requires_heavy_ram, llm
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# pytest: skip, huggingface, requires_heavy_ram, llm
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# SKIP REASON: Example broken since intrinsics refactor - see issue #385
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import time
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docs/examples/mify/rich_document_advanced.py

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# pytest: huggingface, requires_heavy_ram, llm
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# pytest: skip, huggingface, requires_heavy_ram, llm
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# SKIP REASON: CXXABI_1.3.15 not found - conda environment issue on HPC systems with old glibc
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# ruff: noqa E402
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# Example: Rich Documents and Templating

docs/examples/safety/guardian.py

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# pytest: huggingface, requires_heavy_ram, llm
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# pytest: ollama, llm
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"""Example of using the Enhanced Guardian Requirement with Granite Guardian 3.3 8B"""
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docs/examples/safety/guardian_huggingface.py

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# pytest: huggingface, requires_heavy_ram, llm
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# pytest: ollama, huggingface, requires_heavy_ram, llm
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"""Example of using GuardianCheck with HuggingFace backend for direct model inference
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docs/examples/safety/repair_with_guardian.py

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# pytest: huggingface, requires_heavy_ram, llm
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# pytest: ollama, huggingface, requires_heavy_ram, llm
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"""RepairTemplateStrategy Example with Actual Function Call Validation
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Demonstrates how RepairTemplateStrategy repairs responses using actual function calls.

test/README.md

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# Mellea Test Suite
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Test files must be named as `test_*.py` so that pydocstyle ignores them.
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Test files must be named as "test_*.py" so that pydocstyle ignores them
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## Running Tests
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```bash
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# Fast tests only (~2 min) - skips qualitative and slow tests
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uv run pytest -m "not qualitative"
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# Default - includes qualitative tests, skips slow tests
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uv run pytest
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# All tests including slow tests (>5 min)
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uv run pytest -m slow
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uv run pytest # without pytest.ini config
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```
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## GPU Testing on CUDA Systems
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### The Problem: CUDA EXCLUSIVE_PROCESS Mode
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When running GPU tests on systems with `EXCLUSIVE_PROCESS` mode (common on HPC clusters), you may encounter "CUDA device busy" errors. This happens because:
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1. **Parent Process Context**: The pytest parent process creates a CUDA context when running regular tests
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2. **Subprocess Blocking**: Example tests run in subprocesses (via `docs/examples/conftest.py`)
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3. **Exclusive Access**: In `EXCLUSIVE_PROCESS` mode, only one process can hold a CUDA context per GPU
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4. **Result**: Subprocesses fail with "CUDA device busy" when the parent still holds the context
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### Solution 1: NVIDIA MPS (Recommended)
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**NVIDIA Multi-Process Service (MPS)** allows multiple processes to share a GPU in `EXCLUSIVE_PROCESS` mode:
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```bash
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# Enable MPS in your job scheduler configuration
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# Consult your HPC documentation for specific syntax
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```
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### Why This Matters
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The test infrastructure runs examples in subprocesses (see `docs/examples/conftest.py`) to:
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- Isolate example execution environments
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- Capture stdout/stderr cleanly
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- Prevent cross-contamination between examples
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However, this creates the "Parent Trap": the parent pytest process holds a CUDA context from running regular tests, blocking subprocesses from accessing the GPU.
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### Technical Details
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**CUDA Context Lifecycle**:
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- Created on first CUDA operation (e.g., `torch.cuda.is_available()`)
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- Persists until process exit or explicit `cudaDeviceReset()`
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- In `EXCLUSIVE_PROCESS` mode, blocks other processes from GPU access
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**MPS Architecture**:
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- Runs as a proxy service between applications and GPU driver
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- Multiplexes CUDA contexts from multiple processes onto single GPU
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- Transparent to applications - no code changes needed
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- Requires explicit enablement via job scheduler flags
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**Alternative Approaches Tried** (documented in `GPU_PARENT_TRAP_SOLUTION.md`):
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-`torch.cuda.empty_cache()` - Only affects PyTorch allocator, not driver context
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-`cudaDeviceReset()` in subprocesses - Parent still holds context
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- ❌ Inter-example delays - Doesn't release parent context
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- ❌ pynvml polling - Can't force parent to release context
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- ✅ MPS - Allows GPU sharing without code changes
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## Test Markers
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See [`MARKERS_GUIDE.md`](MARKERS_GUIDE.md) for complete marker documentation.
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Key markers for GPU testing:
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- `@pytest.mark.huggingface` - Requires HuggingFace backend (local, GPU-heavy)
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- `@pytest.mark.requires_gpu` - Requires GPU hardware
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- `@pytest.mark.requires_heavy_ram` - Requires 48GB+ RAM
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- `@pytest.mark.slow` - Tests taking >5 minutes
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## Coverage
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Coverage reports are generated in `htmlcov/` and `coverage.json`.

test/stdlib/sampling/test_majority_voting.py

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MBRDRougeLStrategy,
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)
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# Mark all tests as requiring Ollama (start_session defaults to Ollama)
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pytestmark = [pytest.mark.ollama, pytest.mark.llm, pytest.mark.qualitative]
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@pytest.fixture(scope="module")
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def m_session(gh_run):

test/stdlib/sampling/test_sampling_ctx.py

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from mellea.stdlib.sampling import MultiTurnStrategy, RejectionSamplingStrategy
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class TestSamplingCtxCase:
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m = start_session(
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@pytest.fixture(scope="class")
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def m_session():
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"""Shared session for sampling context tests."""
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return start_session(
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model_options={ModelOption.MAX_NEW_TOKENS: 100}, ctx=ChatContext()
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)
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@pytest.mark.ollama
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@pytest.mark.llm
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@pytest.mark.qualitative
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class TestSamplingCtxCase:
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def _run_asserts_for_ctx_testing(self, res):
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assert isinstance(res, SamplingResult), "res should be a SamplingResult."
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"there should be 3 validation results."
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)
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def test_ctx_for_rejection_sampling(self):
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self.m.reset()
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res = self.m.instruct(
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def test_ctx_for_rejection_sampling(self, m_session):
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m_session.reset()
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res = m_session.instruct(
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"Write a sentence.",
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requirements=[
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self._run_asserts_for_ctx_testing(res)
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assert len(self.m.ctx.as_list()) == 2, (
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assert len(m_session.ctx.as_list()) == 2, (
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assert len(self.m.last_prompt()) == 1, ( # type: ignore
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assert len(m_session.last_prompt()) == 1, ( # type: ignore
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"Last prompt should only have only one instruction inside - independent of sampling iterations."
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def test_ctx_for_multiturn(self):
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self.m.reset()
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res = self.m.instruct(
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def test_ctx_for_multiturn(self, m_session):
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m_session.reset()
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res = m_session.instruct(
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"Write a sentence.",
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self._run_asserts_for_ctx_testing(res)
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assert len(self.m.ctx.as_list()) >= 2, (
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assert len(m_session.ctx.as_list()) >= 2, (
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"there should be at least a message and a response in the ctx; more if the first result failed validation"
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assert len(self.m.last_prompt()) == len(res.sample_generations) * 2 - 1, ( # type: ignore
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assert len(m_session.last_prompt()) == len(res.sample_generations) * 2 - 1, ( # type: ignore
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"For n sampling iterations there should be 2n-1 prompt conversation elements in the last prompt."
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)
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test/stdlib/test_chat_view.py

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from mellea.stdlib.context import ChatContext
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from mellea.stdlib.session import start_session
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# Mark all tests as requiring Ollama (start_session defaults to Ollama)
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pytestmark = [pytest.mark.ollama, pytest.mark.llm]
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@pytest.fixture(scope="function")
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def linear_session():

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