openenv-pathway-analysis-env / tests /envs /test_pathway_scoring.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
from pathway_analysis_env.server.scoring import (
is_unknown_ground_truth,
KEYWORD_BASE_SCORE,
labels_match,
score_submission,
)
def test_labels_match_fuzzy():
assert labels_match("MAPK signaling", "mapk signaling")
assert labels_match(
"Estrogen Response Early",
"MSigDB_Hallmark_2020: Estrogen Response Early",
)
def test_score_exact_pathway():
out = score_submission(
"MAPK signaling",
true_pathway="MAPK signaling",
pathway_gene_set_names=["MAPK signaling", "PI3K-Akt signaling"],
top_ora_pathways=["ERK cascade"],
)
assert out["correct"] is True
assert out["match_mode"] == "pathway_label"
def test_score_keywords_geo():
out = score_submission(
"Strong estrogen response hallmark",
true_pathway="Unknown (GEO benchmark)",
expected_keywords=["estrogen", "ESR1"],
top_ora_pathways=[],
)
assert out["correct"] is True
assert out["match_mode"] == "expected_keywords"
def test_unknown_ground_truth():
assert is_unknown_ground_truth("Unknown (GEO benchmark)")
def test_distractor_pathway_label_not_credited():
"""Naming a distractor pathway defined in the case must not score 1.0.
Regression guard for a reward-hacking surface: previously any pathway
gene-set name present in the case (or any top ORA hit) matched as a
``pathway_label`` and earned full credit.
"""
out = score_submission(
"PI3K-Akt signaling",
true_pathway="MAPK signaling",
pathway_gene_set_names=["MAPK signaling", "ERK cascade", "PI3K-Akt signaling"],
top_ora_pathways=["MAPK signaling", "ERK cascade", "PI3K-Akt signaling"],
)
assert out["correct"] is False
assert out["score"] == 0.0
assert out["match_mode"] == "no_match"
def test_top_ora_hit_not_credited_when_truth_known():
"""A top ORA hit that is not the true pathway must not earn credit."""
out = score_submission(
"ERK cascade",
true_pathway="MAPK signaling",
top_ora_pathways=["ERK cascade", "MAPK signaling"],
)
assert out["correct"] is False
assert out["score"] == 0.0
def test_true_pathway_alias_credited():
"""Explicit aliases of the true pathway earn full credit."""
out = score_submission(
"MAPK/ERK pathway",
true_pathway="MAPK signaling",
true_pathway_aliases=["MAPK/ERK pathway", "RAS-MAPK"],
)
assert out["correct"] is True
assert out["score"] == 1.0
assert out["match_mode"] == "pathway_label"
def test_keyword_score_normalized_above_base():
"""A correct GEO answer scores on a scale comparable to exact matches.
A single keyword hit out of several should land at or above the base
score, not collapse to a small fraction like 1/5 = 0.2.
"""
out = score_submission(
"estrogen response",
true_pathway="Unknown (GEO benchmark)",
expected_keywords=["estrogen", "ESR1", "fulvestrant", "ER", "hormone"],
)
assert out["correct"] is True
assert out["score"] >= KEYWORD_BASE_SCORE
assert out["match_mode"] == "expected_keywords"