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File size: 2,175 Bytes
371efe0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 | from __future__ import annotations
MODE_SINGLE = "single"
MODE_PAIR = "pair"
def normalize_selected_models(*values: str) -> list[str]:
normalized: list[str] = []
seen: set[str] = set()
for value in values:
model = str(value).strip()
if not model or model in seen:
continue
normalized.append(model)
seen.add(model)
return normalized[:2]
def sanitize_mode(mode: str) -> str:
return MODE_PAIR if str(mode).strip() == MODE_PAIR else MODE_SINGLE
def derive_initial_mode(*, selected_models: list[str], selected_model: str) -> str:
normalized = normalize_selected_models(*selected_models, selected_model)
return MODE_PAIR if len(normalized) >= 2 else MODE_SINGLE
def resolve_second_model_value(
*,
selected_models: list[str],
pair_model_backup: str,
model_1: str,
) -> str:
candidate = ""
if len(selected_models) > 1:
candidate = str(selected_models[1]).strip()
elif pair_model_backup:
candidate = str(pair_model_backup).strip()
if candidate and candidate == str(model_1).strip():
return ""
return candidate
def resolve_active_models(*, mode: str, model_1: str, model_2: str) -> tuple[list[str], bool]:
first = str(model_1).strip()
second = str(model_2).strip()
duplicate_selection = bool(first and second and first == second)
if sanitize_mode(mode) == MODE_SINGLE:
return normalize_selected_models(first), duplicate_selection
return normalize_selected_models(first, second), duplicate_selection
def is_run_eligible(mode: str, active_models: list[str]) -> bool:
normalized = normalize_selected_models(*active_models)
if sanitize_mode(mode) == MODE_PAIR:
return len(normalized) == 2
return len(normalized) >= 1
def update_pair_model_backup(
*,
current_backup: str,
mode: str,
model_1: str,
model_2: str,
) -> str:
backup = str(current_backup or "").strip()
if sanitize_mode(mode) != MODE_PAIR:
return backup
first = str(model_1).strip()
second = str(model_2).strip()
if second and second != first:
return second
return backup
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