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style: address Sphinx double-backtick snippet syntax (#33389)

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This commit is contained in:
Mason Daugherty
2025-10-09 13:35:51 -04:00
committed by GitHub
parent f405a2c57d
commit d8a680ee57
145 changed files with 1306 additions and 1307 deletions
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20
libs/partners/ollama/tests/integration_tests/chat_models/test_chat_models_reasoning.py
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@@ -13,7 +13,7 @@ REASONING_MODEL_NAME = "deepseek-r1:1.5b"
@pytest.mark.parametrize("model", [REASONING_MODEL_NAME])
@pytest.mark.parametrize("use_async", [False, True])
async def test_stream_no_reasoning(model: str, use_async: bool) -> None:
"""Test streaming with ``reasoning=False``."""
"""Test streaming with `reasoning=False`."""
llm = ChatOllama(model=model, num_ctx=2**12, reasoning=False)
messages = [
{
@@ -46,7 +46,7 @@ async def test_stream_no_reasoning(model: str, use_async: bool) -> None:
@pytest.mark.parametrize("model", [REASONING_MODEL_NAME])
@pytest.mark.parametrize("use_async", [False, True])
async def test_stream_reasoning_none(model: str, use_async: bool) -> None:
"""Test streaming with ``reasoning=None``."""
"""Test streaming with `reasoning=None`."""
llm = ChatOllama(model=model, num_ctx=2**12, reasoning=None)
messages = [
{
@@ -81,7 +81,7 @@ async def test_stream_reasoning_none(model: str, use_async: bool) -> None:
@pytest.mark.parametrize("model", [REASONING_MODEL_NAME])
@pytest.mark.parametrize("use_async", [False, True])
async def test_reasoning_stream(model: str, use_async: bool) -> None:
"""Test streaming with ``reasoning=True``."""
"""Test streaming with `reasoning=True`."""
llm = ChatOllama(model=model, num_ctx=2**12, reasoning=True)
messages = [
{
@@ -125,7 +125,7 @@ async def test_reasoning_stream(model: str, use_async: bool) -> None:
@pytest.mark.parametrize("model", [REASONING_MODEL_NAME])
@pytest.mark.parametrize("use_async", [False, True])
async def test_invoke_no_reasoning(model: str, use_async: bool) -> None:
"""Test invoke with ``reasoning=False``."""
"""Test invoke with `reasoning=False`."""
llm = ChatOllama(model=model, num_ctx=2**12, reasoning=False)
message = HumanMessage(content=SAMPLE)
if use_async:
@@ -141,7 +141,7 @@ async def test_invoke_no_reasoning(model: str, use_async: bool) -> None:
@pytest.mark.parametrize("model", [REASONING_MODEL_NAME])
@pytest.mark.parametrize("use_async", [False, True])
async def test_invoke_reasoning_none(model: str, use_async: bool) -> None:
"""Test invoke with ``reasoning=None``."""
"""Test invoke with `reasoning=None`."""
llm = ChatOllama(model=model, num_ctx=2**12, reasoning=None)
message = HumanMessage(content=SAMPLE)
if use_async:
@@ -159,7 +159,7 @@ async def test_invoke_reasoning_none(model: str, use_async: bool) -> None:
@pytest.mark.parametrize("model", [REASONING_MODEL_NAME])
@pytest.mark.parametrize("use_async", [False, True])
async def test_reasoning_invoke(model: str, use_async: bool) -> None:
"""Test invoke with ``reasoning=True``."""
"""Test invoke with `reasoning=True`."""
llm = ChatOllama(model=model, num_ctx=2**12, reasoning=True)
message = HumanMessage(content=SAMPLE)
if use_async:
@@ -185,15 +185,15 @@ async def test_reasoning_invoke(model: str, use_async: bool) -> None:
@pytest.mark.parametrize("model", [REASONING_MODEL_NAME])
def test_think_tag_stripping_necessity(model: str) -> None:
"""Test that demonstrates why ``_strip_think_tags`` is necessary.
"""Test that demonstrates why `_strip_think_tags` is necessary.
DeepSeek R1 models include reasoning/thinking as their default behavior.
When ``reasoning=False`` is set, the user explicitly wants no reasoning content,
When `reasoning=False` is set, the user explicitly wants no reasoning content,
but Ollama cannot disable thinking at the API level for these models.
Therefore, post-processing is required to strip the ``<think>`` tags.
Therefore, post-processing is required to strip the `<think>` tags.
This test documents the specific behavior that necessitates the
``_strip_think_tags`` function in the chat_models.py implementation.
`_strip_think_tags` function in the chat_models.py implementation.
"""
# Test with reasoning=None (default behavior - should include think tags)
llm_default = ChatOllama(model=model, reasoning=None, num_ctx=2**12)