style: format sub_pattern test file

This commit is contained in:
2026-07-14 13:46:25 -04:00
parent ae0a718f67
commit 111c88488f
@@ -21,16 +21,22 @@ def _candidate() -> CandidateQuestion:
def test_generated_question_has_sub_pattern_default_none():
q = GeneratedQuestion(
question_id="q1", video_id="v1", task_type="Action Recognition",
question="?", options=("A. x",), answer="A",
source_nodes=("n1",), difficulty="easy",
question_id="q1",
video_id="v1",
task_type="Action Recognition",
question="?",
options=("A. x",),
answer="A",
source_nodes=("n1",),
difficulty="easy",
)
assert q.sub_pattern is None
def test_to_generated_question_threads_sub_pattern():
q = _to_generated_question(
_candidate(), family="ACTION_RECOGNITION",
_candidate(),
family="ACTION_RECOGNITION",
sub_pattern="premature_evidence_anchoring",
)
assert q.sub_pattern == "premature_evidence_anchoring"
@@ -43,12 +49,18 @@ def test_to_generated_question_sub_pattern_defaults_none():
def test_question_to_entry_includes_sub_pattern():
from tools.generate_questions import _question_to_entry
q = GeneratedQuestion(
question_id="v1_Action Recognition_0001", video_id="v1",
task_type="Action Recognition", question="?",
options=("A. 蒸", "B. 炒", "C. 煮", "D. 炸"), answer="A",
source_nodes=("n1",), difficulty="hard",
family="ACTION_RECOGNITION", skill_target="M1_AR",
question_id="v1_Action Recognition_0001",
video_id="v1",
task_type="Action Recognition",
question="?",
options=("A. 蒸", "B. 炒", "C. 煮", "D. 炸"),
answer="A",
source_nodes=("n1",),
difficulty="hard",
family="ACTION_RECOGNITION",
skill_target="M1_AR",
sub_pattern="temporal_reasoning_failure",
)
entry = _question_to_entry(q)
@@ -59,15 +71,22 @@ def test_question_to_entry_includes_sub_pattern():
def test_append_to_json_writes_sub_pattern(tmp_path):
from tools.generate_questions import _append_to_json
q = GeneratedQuestion(
question_id="v1_Action Recognition_0001", video_id="v1",
task_type="Action Recognition", question="?",
options=("A. 蒸", "B. 炒", "C. 煮", "D. 炸"), answer="A",
source_nodes=("n1",), difficulty="hard",
family="ACTION_RECOGNITION", skill_target="M1_AR",
question_id="v1_Action Recognition_0001",
video_id="v1",
task_type="Action Recognition",
question="?",
options=("A. 蒸", "B. 炒", "C. 煮", "D. 炸"),
answer="A",
source_nodes=("n1",),
difficulty="hard",
family="ACTION_RECOGNITION",
skill_target="M1_AR",
sub_pattern="temporal_reasoning_failure",
)
_append_to_json(tmp_path, q)
import json
data = json.loads((tmp_path / "v1.json").read_text(encoding="utf-8"))
assert data[0]["sub_pattern"] == "temporal_reasoning_failure"