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96 changes: 48 additions & 48 deletions outputs/openfold3_msa_weighting_pipeline.py
Original file line number Diff line number Diff line change
Expand Up @@ -544,6 +544,49 @@ def build_registry_entry(
}


def _calculate_deltas(latest: dict, comparison: dict) -> dict:
def diff(field: str) -> float:
return round(latest.get(field, 0.0) - comparison.get(field, 0.0), 6)

return {
"temperature_delta": diff("temperature"),
"neighbor_identity_delta": diff("neighbor_identity"),
"diversity_strength_delta": diff("diversity_strength"),
"msa_neff_delta": diff("msa_neff"),
"paired_neff_delta": diff("paired_neff"),
}


def _calculate_next_defaults(latest_run: dict, best_run: dict, latest_vs_previous: dict) -> dict:
current_temp = latest_run.get("temperature", 0.35)
current_neighbor = latest_run.get("neighbor_identity", 0.95)
current_diversity = latest_run.get("diversity_strength", 0.45)
msa_delta = latest_vs_previous.get("msa_neff_delta", 0.0)
paired_delta = latest_vs_previous.get("paired_neff_delta", 0.0)
strength_signal = msa_delta + paired_delta

if strength_signal > 0:
return {
"temperature": round(max(0.15, current_temp * 0.95), 4),
"neighbor_identity": round(min(0.99, current_neighbor + 0.01), 4),
"diversity_strength": round(max(0.05, current_diversity * 0.9), 4),
"rule": "exploit-neff",
}
if strength_signal < 0:
return {
"temperature": round(min(0.8, current_temp * 1.05), 4),
"neighbor_identity": round(max(0.5, current_neighbor - 0.01), 4),
"diversity_strength": round(min(1.0, current_diversity * 1.1), 4),
"rule": "expand-diversity",
}
return {
"temperature": round(max(0.15, min(0.8, (current_temp + best_run.get("temperature", current_temp)) / 2.0)), 4),
"neighbor_identity": round(max(0.5, min(0.99, (current_neighbor + best_run.get("neighbor_identity", current_neighbor)) / 2.0)), 4),
"diversity_strength": round(max(0.05, min(1.0, (current_diversity + best_run.get("diversity_strength", current_diversity)) / 2.0)), 4),
"rule": "blend-best-and-latest",
}


def build_comparison_report(
latest_run: dict,
previous_run: dict | None,
Expand All @@ -555,54 +598,11 @@ def build_comparison_report(
if best_run is None:
best_run = latest_run

def diff(field: str) -> float:
return round(latest_run.get(field, 0.0) - previous_run.get(field, 0.0), 6)

latest_vs_previous = {
"temperature_delta": diff("temperature"),
"neighbor_identity_delta": diff("neighbor_identity"),
"diversity_strength_delta": diff("diversity_strength"),
"msa_neff_delta": diff("msa_neff"),
"paired_neff_delta": diff("paired_neff"),
"msa_top_header": latest_run.get("msa_top_header"),
"paired_top_key": latest_run.get("paired_top_key"),
}
latest_vs_best = {
"temperature_delta": round(latest_run.get("temperature", 0.0) - best_run.get("temperature", 0.0), 6),
"neighbor_identity_delta": round(latest_run.get("neighbor_identity", 0.0) - best_run.get("neighbor_identity", 0.0), 6),
"diversity_strength_delta": round(latest_run.get("diversity_strength", 0.0) - best_run.get("diversity_strength", 0.0), 6),
"msa_neff_delta": round(latest_run.get("msa_neff", 0.0) - best_run.get("msa_neff", 0.0), 6),
"paired_neff_delta": round(latest_run.get("paired_neff", 0.0) - best_run.get("paired_neff", 0.0), 6),
}
latest_vs_previous = _calculate_deltas(latest_run, previous_run)
latest_vs_previous["msa_top_header"] = latest_run.get("msa_top_header")
latest_vs_previous["paired_top_key"] = latest_run.get("paired_top_key")

def next_defaults() -> dict:
current_temp = latest_run.get("temperature", 0.35)
current_neighbor = latest_run.get("neighbor_identity", 0.95)
current_diversity = latest_run.get("diversity_strength", 0.45)
msa_delta = latest_vs_previous["msa_neff_delta"]
paired_delta = latest_vs_previous["paired_neff_delta"]
strength_signal = msa_delta + paired_delta

if strength_signal > 0:
return {
"temperature": round(max(0.15, current_temp * 0.95), 4),
"neighbor_identity": round(min(0.99, current_neighbor + 0.01), 4),
"diversity_strength": round(max(0.05, current_diversity * 0.9), 4),
"rule": "exploit-neff",
}
if strength_signal < 0:
return {
"temperature": round(min(0.8, current_temp * 1.05), 4),
"neighbor_identity": round(max(0.5, current_neighbor - 0.01), 4),
"diversity_strength": round(min(1.0, current_diversity * 1.1), 4),
"rule": "expand-diversity",
}
return {
"temperature": round(max(0.15, min(0.8, (current_temp + best_run.get("temperature", current_temp)) / 2.0)), 4),
"neighbor_identity": round(max(0.5, min(0.99, (current_neighbor + best_run.get("neighbor_identity", current_neighbor)) / 2.0)), 4),
"diversity_strength": round(max(0.05, min(1.0, (current_diversity + best_run.get("diversity_strength", current_diversity)) / 2.0)), 4),
"rule": "blend-best-and-latest",
}
latest_vs_best = _calculate_deltas(latest_run, best_run)

report = {
"status": "MOCK / DEMO",
Expand All @@ -617,7 +617,7 @@ def next_defaults() -> dict:
"msa_top_header": best_run.get("msa_top_header"),
"paired_top_key": best_run.get("paired_top_key"),
},
"next_heuristic_defaults": next_defaults(),
"next_heuristic_defaults": _calculate_next_defaults(latest_run, best_run, latest_vs_previous),
"heuristic_update_rule": latest_run.get("heuristic_update_rule", {}),
"interpretation": (
"Positive neff deltas suggest broader local support; negative deltas suggest "
Expand Down
71 changes: 71 additions & 0 deletions outputs/test_openfold3_msa_weighting_pipeline.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,71 @@
import pytest
from openfold3_msa_weighting_pipeline import (
build_comparison_report,
_calculate_deltas,
_calculate_next_defaults,
)

def test_calculate_deltas():
latest = {"temperature": 0.5, "msa_neff": 10.5, "paired_neff": 5.0}
comparison = {"temperature": 0.4, "msa_neff": 10.0, "paired_neff": 4.5}
deltas = _calculate_deltas(latest, comparison)
assert deltas["temperature_delta"] == 0.1
assert deltas["msa_neff_delta"] == 0.5
assert deltas["paired_neff_delta"] == 0.5
assert deltas["neighbor_identity_delta"] == 0.0

def test_calculate_next_defaults_positive_signal():
latest = {"temperature": 0.5, "neighbor_identity": 0.9, "diversity_strength": 0.5}
best = {"temperature": 0.5, "neighbor_identity": 0.9, "diversity_strength": 0.5}
latest_vs_prev = {"msa_neff_delta": 1.0, "paired_neff_delta": 1.0}

defaults = _calculate_next_defaults(latest, best, latest_vs_prev)
assert defaults["rule"] == "exploit-neff"
assert defaults["temperature"] == round(0.5 * 0.95, 4)

def test_calculate_next_defaults_negative_signal():
latest = {"temperature": 0.5, "neighbor_identity": 0.9, "diversity_strength": 0.5}
best = {"temperature": 0.5, "neighbor_identity": 0.9, "diversity_strength": 0.5}
latest_vs_prev = {"msa_neff_delta": -1.0, "paired_neff_delta": -1.0}

defaults = _calculate_next_defaults(latest, best, latest_vs_prev)
assert defaults["rule"] == "expand-diversity"
assert defaults["temperature"] == round(0.5 * 1.05, 4)

def test_calculate_next_defaults_neutral_signal():
latest = {"temperature": 0.5, "neighbor_identity": 0.9, "diversity_strength": 0.5}
best = {"temperature": 0.6, "neighbor_identity": 0.8, "diversity_strength": 0.6}
latest_vs_prev = {"msa_neff_delta": 1.0, "paired_neff_delta": -1.0} # sum to 0

defaults = _calculate_next_defaults(latest, best, latest_vs_prev)
assert defaults["rule"] == "blend-best-and-latest"
assert defaults["temperature"] == 0.55

def test_build_comparison_report():
latest = {
"run_index": 2,
"query": "seq",
"temperature": 0.5,
"neighbor_identity": 0.9,
"msa_neff": 10,
"paired_neff": 5,
"msa_top_header": "header1",
"paired_top_key": "key1",
}
prev = {
"run_index": 1,
"temperature": 0.4,
"neighbor_identity": 0.8,
"msa_neff": 5,
"paired_neff": 3,
}
best = prev

report = build_comparison_report(latest, prev, best)

assert report["latest_vs_previous"]["temperature_delta"] == 0.1
assert report["latest_vs_previous"]["msa_top_header"] == "header1"
assert report["latest_vs_previous"]["paired_top_key"] == "key1"
assert report["latest_vs_best"]["msa_neff_delta"] == 5.0
assert report["best_run"]["run_index"] == 1
assert "next_heuristic_defaults" in report