| """2. Reader + router: what is asked, and how the extracted values fit together. |
| |
| PLACEHOLDER: keyword rules standing in for the TinyLLM, which will read the same marked text and return the same |
| choices once it is trained. |
| |
| read("A car at <speed1> brakes at <acceleration>. How long until it stops?") |
| -> {"target": "t", "order": ("u",), "sign": -1, "u0": False, "v0": True, "a_source": None} |
| |
| Returns None when the question isn't one it can answer. |
| """ |
|
|
| import re |
|
|
| |
| TARGET_CUES = { |
| "s": r"how far|distance|how much (slip )?road", |
| "t": r"how long|\btime\b", |
| "v": r"how fast|\bspeed\b", |
| "F": r"\bforce\b", |
| "a": r"how hard|acceleration|deceleration", |
| } |
| OFF_TOPIC = r"\b(fuel|engine|legal|tyres?|insurance|poem|gear)\b" |
| REST = r"from (rest|a standstill|stationary)|pulls? away" |
| STOP = r"\bstop|stationary|\bahead\b" |
| BRAKE = r"\bbrak|\bstop|decel" |
| CONSTANT = r"constant|cruis|steady" |
| FINAL = r"(\bto|reach\w*) <speed1>" |
| SURFACE_DECEL = {"icy": 2.0, "wet": 5.0, "dry": 7.5} |
| SURFACE_CUES = {"icy": r"\bic[ey]|snow", "wet": r"rain|\bwet\b"} |
|
|
|
|
| def read(marked): |
| text = marked.lower() |
| words = re.sub(r"<\w+>", "#", text) |
| target = next((t for t, cue in TARGET_CUES.items() if re.search(cue, words)), None) |
| if target is None or re.search(OFF_TOPIC, words): |
| return None |
| speeds = text.count("<speed") |
| order = {0: (), 1: ("v",) if re.search(FINAL, text) else ("u",), 2: ("u", "v")}.get(speeds) |
| if order is None: |
| return None |
| braking = bool(re.search(BRAKE, text)) |
| v0 = target != "v" and "v" not in order and bool(re.search(STOP, text)) |
| u0 = "u" not in order and bool(re.search(REST, text)) |
| |
| |
| a_source = None |
| kinematics = len(order) + u0 + v0 + ("<time>" in text) + ("<distance>" in text) |
| if "<acceleration>" not in text and "<force>" not in text and target != "a" and kinematics < 3: |
| if re.search(CONSTANT, text): |
| a_source = 0.0 |
| elif braking: |
| surface = next((s for s, cue in SURFACE_CUES.items() if re.search(cue, text)), "dry") |
| a_source = SURFACE_DECEL[surface] |
| return {"target": target, "order": order, "sign": -1 if braking else 1, "u0": u0, "v0": v0, "a_source": a_source} |
|
|
