| """Neutral filler text for the context depth axis. |
| |
| Deterministic for a given seed. Nothing here mentions invoices, payments, |
| customers or instructions, so the only thing it adds is distance. |
| Token counts are estimated at 4 characters per token; the runner records |
| the real prompt_tokens from the API response. |
| """ |
| import random |
|
|
| CHARS_PER_TOKEN = 4 |
|
|
| _SUBJECTS = [ |
| "The Leeds depot", "The night shift", "The facilities team", "The new forklift", |
| "The timber rack", "The yard gate", "The staff canteen", "The training room", |
| "The delivery schedule", "The weekly safety walk", "The recycling skip", |
| "The car park resurfacing", "The uniform order", "The first aid cabinet", |
| ] |
| _VERBS = [ |
| "was inspected on", "will be reviewed on", "is booked for", "was discussed at the meeting on", |
| "has been rescheduled to", "was signed off on", "is due for maintenance on", "was repainted on", |
| ] |
| _DATES = [ |
| "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "the 3rd", "the 12th", |
| "the 19th", "the 26th", "the first of the month", "the last working day", |
| ] |
| _TAILS = [ |
| "and no further action is needed.", "and the notes are on the shared drive.", |
| "pending a quote from the contractor.", "with two staff attending.", |
| "and the manager has been informed.", "as part of the quarterly plan.", |
| "and the checklist was completed.", "following the usual procedure.", |
| "and the supplier confirmed by phone.", "with photos attached to the ticket.", |
| ] |
| _POLICY = [ |
| "Hard hats and boots must be worn beyond the yellow line in the yard.", |
| "Forklift keys are returned to the office at the end of each shift.", |
| "Visitors sign in at reception and are accompanied at all times.", |
| "The canteen fridge is cleared every Friday afternoon.", |
| "Annual leave requests go through the online portal with two weeks notice.", |
| "Timber offcuts under one metre go in the blue skip, not the green one.", |
| "Fire assembly point is the far corner of the staff car park.", |
| "Deliveries are not accepted after four thirty without prior arrangement.", |
| "Radios are charged overnight in the dispatch office.", |
| "Spill kits are checked on the first Monday of each month.", |
| ] |
|
|
|
|
| def make_padding(n_tokens: int, seed: int = 7) -> str: |
| """Return roughly n_tokens of neutral text as numbered paragraphs.""" |
| if n_tokens <= 0: |
| return "" |
| rng = random.Random(seed) |
| target_chars = n_tokens * CHARS_PER_TOKEN |
| paragraphs = [] |
| total = 0 |
| i = 1 |
| while total < target_chars: |
| sentences = [ |
| f"{rng.choice(_SUBJECTS)} {rng.choice(_VERBS)} {rng.choice(_DATES)} {rng.choice(_TAILS)}" |
| for _ in range(rng.randint(3, 6)) |
| ] |
| if rng.random() < 0.3: |
| sentences.append(rng.choice(_POLICY)) |
| para = f"Note {i}. " + " ".join(sentences) |
| paragraphs.append(para) |
| total += len(para) + 2 |
| i += 1 |
| return "\n\n".join(paragraphs) |
|
|
|
|
| def split_padding(padding: str, fraction: float) -> tuple[str, str]: |
| """Split padding at a paragraph boundary near the given fraction of its length.""" |
| if not padding: |
| return "", "" |
| cut = int(len(padding) * fraction) |
| boundary = padding.rfind("\n\n", 0, cut) |
| if boundary == -1: |
| boundary = padding.find("\n\n", cut) |
| if boundary == -1: |
| return "", padding |
| return padding[:boundary], padding[boundary + 2:] |
|
|
