HongchengGao's picture
Align task taxonomy and IDs with the updated paper; main evaluation 306
3de3b50 verified
Raw History Blame Contribute Delete
23.8 kB
from __future__ import annotations
import math
import os
import re
from dataclasses import dataclass, field
from pathlib import Path
from typing import Iterable
TARGET = Path(os.environ.get("EVAL_TARGET_DIR", r"C:\Users\User\Desktop"))
NC_NAME = "task-09.nc"
MAX_BYTES = 2_000_000
MAX_LINES = 20_000
MAX_EXECUTED_BLOCKS = 50_000
MAX_SEGMENTS = 8_000
MAX_SAMPLES = 250_000
TOOL_DIAMETER_MM = 8.0
TOOL_RADIUS_MM = TOOL_DIAMETER_MM / 2.0
SPINDLE_RPM = 8000.0
FEED_MM_MIN = 500.0
PART_X = 45.0
PART_Y = 30.0
PART_Z = 10.0
WORD_RE = re.compile(r"([A-Z])\s*([+-]?(?:\d+(?:\.\d*)?|\.\d+))")
INTEGER_WORDS = {"N", "O", "M", "T", "H", "D", "P", "L"}
ALLOWED_WORDS = set("NOGMXYZIJKRFS THDPL".replace(" ", ""))
ALLOWED_G = {0.0, 1.0, 2.0, 3.0, 17.0, 20.0, 21.0, 28.0, 40.0, 41.0, 42.0,
43.0, 49.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0,
80.0, 90.0, 91.0, 94.0}
ALLOWED_M = {2, 3, 5, 6, 8, 9, 30, 98, 99}
class EvaluationError(ValueError):
pass
@dataclass(frozen=True)
class Point:
x: float
y: float
z: float
@dataclass
class Block:
line_no: int
words: dict[str, list[float]]
@dataclass
class Segment:
start: Point
end: Point
samples: list[Point]
motion: int
tool: int | None
spindle: float | None
spindle_on: bool
feed: float | None
wcs: str | None
length_comp: bool
h_offset: int | None
comp: int
d_offset: int | None
machine: bool
@dataclass
class State:
units: str | None = None
absolute: bool | None = None
motion: int | None = None
current: Point = Point(0.0, 0.0, 0.0)
pending_tool: int | None = None
tool: int | None = None
spindle: float | None = None
spindle_on: bool = False
feed: float | None = None
wcs: str | None = None
length_comp: bool = False
h_offset: int | None = None
comp: int = 40
d_offset: int | None = None
@dataclass
class ProgramResult:
segments: list[Segment] = field(default_factory=list)
selected_tools: list[int] = field(default_factory=list)
changed_tools: list[int] = field(default_factory=list)
called_programs: list[int] = field(default_factory=list)
executed_blocks: int = 0
sample_count: int = 0
terminated: bool = False
def close(a: float, b: float, tol: float) -> bool:
return abs(a - b) <= tol
def integer(value: float, label: str) -> int:
rounded = int(round(value))
if abs(value - rounded) > 1e-4:
raise EvaluationError(f"{label} must be integer-valued")
return rounded
def distance(a: Point, b: Point) -> float:
return math.dist((a.x, a.y, a.z), (b.x, b.y, b.z))
def strip_comments(src: str) -> list[str]:
lines: list[str] = []
depth = 0
for raw in src.upper().splitlines():
clean: list[str] = []
for char in raw:
if char == ";" and depth == 0:
break
if char == "(":
depth += 1
elif char == ")":
if depth == 0:
raise EvaluationError("unmatched comment")
depth -= 1
elif depth == 0:
clean.append(char)
lines.append("".join(clean).strip())
if depth:
raise EvaluationError("unterminated comment")
return lines
def tokenize(src: str) -> tuple[list[int], dict[int, list[Block]]]:
if len(src.encode("utf-8")) > MAX_BYTES or len(src.splitlines()) > MAX_LINES:
raise EvaluationError("program exceeds resource limits")
order: list[int] = []
programs: dict[int, list[Block]] = {}
current: int | None = None
for line_no, line in enumerate(strip_comments(src), 1):
if not line or line == "%":
continue
if any(char in line for char in "#[]="):
raise EvaluationError("expressions and macros are not accepted")
found = WORD_RE.findall(line)
residue = re.sub(r"[\s/]+", "", WORD_RE.sub("", line))
if not found or residue:
raise EvaluationError(f"unknown executable text on line {line_no}")
words: dict[str, list[float]] = {}
for letter, raw in found:
if letter not in ALLOWED_WORDS:
raise EvaluationError(f"unsupported address {letter}")
value = float(raw)
if not math.isfinite(value) or abs(value) > 1e7:
raise EvaluationError("non-finite or excessive numeric value")
words.setdefault(letter, []).append(value)
for letter, values in words.items():
if letter not in {"G", "M"} and len(values) > 1:
raise EvaluationError(f"duplicate {letter} address")
if letter in INTEGER_WORDS:
for value in values:
integer(value, letter)
if "O" in words:
if len(words) != 1:
raise EvaluationError("O program label must be on its own line")
current = integer(words["O"][0], "O")
if current in programs:
raise EvaluationError("duplicate O program")
order.append(current)
programs[current] = []
continue
if current is None:
raise EvaluationError("executable block before first O program")
programs[current].append(Block(line_no, words))
if not order:
raise EvaluationError("missing O program")
return order, programs
def validate_program_structure(order: list[int], programs: dict[int, list[Block]]) -> None:
main = order[0]
for number in order:
blocks = programs[number]
terminals: list[tuple[int, int]] = []
for index, block in enumerate(blocks):
for value in block.words.get("M", []):
code = integer(value, "M")
if code not in ALLOWED_M:
raise EvaluationError(f"unsupported M{code}")
if code in {2, 30, 99}:
terminals.append((index, code))
expected = {2, 30} if number == main else {99}
if len(terminals) != 1 or terminals[0][1] not in expected:
raise EvaluationError(f"invalid terminal for O{number}")
if terminals[0][0] != len(blocks) - 1:
raise EvaluationError(f"code after terminal in O{number}")
def line_samples(a: Point, b: Point, spacing: float = 0.5) -> list[Point]:
length = distance(a, b)
count = max(1, min(4000, int(math.ceil(length / spacing))))
return [
Point(
a.x + (b.x - a.x) * index / count,
a.y + (b.y - a.y) * index / count,
a.z + (b.z - a.z) * index / count,
)
for index in range(count + 1)
]
def arc_center_from_r(a: Point, b: Point, radius_word: float, clockwise: bool) -> tuple[float, float]:
chord = math.hypot(b.x - a.x, b.y - a.y)
radius = abs(radius_word)
if chord <= 1e-9 or radius < chord / 2.0 - 1e-6:
raise EvaluationError("invalid R arc")
mx, my = (a.x + b.x) / 2.0, (a.y + b.y) / 2.0
height = math.sqrt(max(radius * radius - (chord / 2.0) ** 2, 0.0))
nx, ny = -(b.y - a.y) / chord, (b.x - a.x) / chord
candidates = [(mx + nx * height, my + ny * height), (mx - nx * height, my - ny * height)]
choices: list[tuple[float, float, float]] = []
for cx, cy in candidates:
a0 = math.atan2(a.y - cy, a.x - cx)
a1 = math.atan2(b.y - cy, b.x - cx)
sweep = (a0 - a1) % (2 * math.pi) if clockwise else (a1 - a0) % (2 * math.pi)
choices.append((sweep, cx, cy))
desired_major = radius_word < 0
filtered = [value for value in choices if (value[0] > math.pi) == desired_major]
_, cx, cy = (filtered or choices)[0]
return cx, cy
def arc_samples(a: Point, b: Point, words: dict[str, list[float]], factor: float, clockwise: bool) -> list[Point]:
if "I" in words or "J" in words:
if "I" not in words or "J" not in words:
raise EvaluationError("arc requires both I and J")
cx = a.x + words["I"][-1] * factor
cy = a.y + words["J"][-1] * factor
elif "R" in words:
cx, cy = arc_center_from_r(a, b, words["R"][-1] * factor, clockwise)
else:
raise EvaluationError("arc requires I/J or R")
radius = math.hypot(a.x - cx, a.y - cy)
if radius <= 1e-6 or not close(math.hypot(b.x - cx, b.y - cy), radius, 0.25):
raise EvaluationError("invalid arc geometry")
a0 = math.atan2(a.y - cy, a.x - cx)
a1 = math.atan2(b.y - cy, b.x - cx)
sweep = (a0 - a1) % (2 * math.pi) if clockwise else (a1 - a0) % (2 * math.pi)
if sweep <= 1e-9:
sweep = 2 * math.pi
count = max(12, min(4000, int(math.ceil(radius * sweep / 0.5))))
direction = -1.0 if clockwise else 1.0
return [
Point(
cx + radius * math.cos(a0 + direction * sweep * index / count),
cy + radius * math.sin(a0 + direction * sweep * index / count),
a.z + (b.z - a.z) * index / count,
)
for index in range(count + 1)
]
def execute(src: str) -> ProgramResult:
order, programs = tokenize(src)
validate_program_structure(order, programs)
result = ProgramResult()
state = State()
active_calls: list[int] = []
def run(number: int) -> None:
if number in active_calls or len(active_calls) >= 8:
raise EvaluationError("recursive or excessive subprogram calls")
active_calls.append(number)
for block in programs[number]:
result.executed_blocks += 1
if result.executed_blocks > MAX_EXECUTED_BLOCKS:
raise EvaluationError("executed-block limit exceeded")
words = block.words
gcodes = words.get("G", [])
mcodes = [integer(value, "M") for value in words.get("M", [])]
for code in mcodes:
if code not in ALLOWED_M:
raise EvaluationError(f"unsupported M{code}")
for value in gcodes:
if not any(close(value, allowed, 1e-6) for allowed in ALLOWED_G) and not close(value, 54.1, 1e-6):
raise EvaluationError(f"unsupported G{value:g}")
if any(close(value, 20.0, 1e-6) for value in gcodes):
state.units = "inch"
if any(close(value, 21.0, 1e-6) for value in gcodes):
state.units = "mm"
factor = 25.4 if state.units == "inch" else 1.0
machine = any(close(value, 28.0, 1e-6) or close(value, 53.0, 1e-6) for value in gcodes)
g52 = any(close(value, 52.0, 1e-6) for value in gcodes)
if g52 and any(abs(words[axis][-1] * factor) > 1e-6 for axis in ("X", "Y", "Z") if axis in words):
raise EvaluationError("nonzero G52 shift is outside this task contract")
for value in gcodes:
rounded = int(round(value))
if close(value, 90.0, 1e-6):
state.absolute = True
elif close(value, 91.0, 1e-6):
state.absolute = False
elif rounded in {0, 1, 2, 3} and close(value, float(rounded), 1e-6):
state.motion = rounded
elif rounded in {54, 55, 56, 57, 58, 59} and close(value, float(rounded), 1e-6):
state.wcs = f"G{rounded}"
elif close(value, 54.1, 1e-6):
if "P" not in words:
raise EvaluationError("G54.1 requires P")
p_value = integer(words["P"][-1], "P")
if p_value <= 0:
raise EvaluationError("invalid G54.1 P")
state.wcs = f"G54.1P{p_value}"
elif close(value, 43.0, 1e-6):
state.length_comp = True
elif close(value, 49.0, 1e-6):
state.length_comp = False
state.h_offset = None
elif rounded in {40, 41, 42} and close(value, float(rounded), 1e-6):
state.comp = rounded
if rounded == 40:
state.d_offset = None
if "T" in words:
state.pending_tool = integer(words["T"][-1], "T")
result.selected_tools.append(state.pending_tool)
if "S" in words:
state.spindle = words["S"][-1]
if "F" in words:
state.feed = words["F"][-1] * factor
if "H" in words:
state.h_offset = integer(words["H"][-1], "H")
if "D" in words:
state.d_offset = integer(words["D"][-1], "D")
if 6 in mcodes:
if state.pending_tool is None:
raise EvaluationError("M6 without T")
state.tool = state.pending_tool
result.changed_tools.append(state.tool)
if 3 in mcodes:
state.spindle_on = True
if 5 in mcodes:
state.spindle_on = False
has_axis = any(axis in words for axis in ("X", "Y", "Z"))
if has_axis and not (machine or g52):
if state.units is None or state.absolute is None or state.motion is None:
raise EvaluationError("motion before units/distance/motion mode")
def coordinate(axis: str, old: float) -> float:
if axis not in words:
return old
value = words[axis][-1] * factor
return value if state.absolute else old + value
new = Point(
coordinate("X", state.current.x),
coordinate("Y", state.current.y),
coordinate("Z", state.current.z),
)
samples = (
arc_samples(state.current, new, words, factor, state.motion == 2)
if state.motion in {2, 3}
else line_samples(state.current, new)
)
result.sample_count += len(samples)
if len(result.segments) >= MAX_SEGMENTS or result.sample_count > MAX_SAMPLES:
raise EvaluationError("geometry resource limit exceeded")
result.segments.append(
Segment(
state.current,
new,
samples,
state.motion,
state.tool,
state.spindle,
state.spindle_on,
state.feed,
state.wcs,
state.length_comp,
state.h_offset,
state.comp,
state.d_offset,
False,
)
)
state.current = new
elif has_axis and close(next((value for value in gcodes if close(value, 53.0, 1e-6)), 0.0), 53.0, 1e-6):
# Preserve evidence of explicit G53 cutting attempts while not
# mixing machine coordinates with local work geometry.
if state.motion in {1, 2, 3}:
result.segments.append(
Segment(state.current, state.current, [state.current], state.motion, state.tool,
state.spindle, state.spindle_on, state.feed, state.wcs,
state.length_comp, state.h_offset, state.comp, state.d_offset, True)
)
if 98 in mcodes:
if "P" not in words:
raise EvaluationError("M98 requires P")
target = integer(words["P"][-1], "P")
repeats = integer(words.get("L", [1])[-1], "L")
if target not in programs or target == order[0] or not 1 <= repeats <= 20:
raise EvaluationError("invalid M98 target or repeat")
result.called_programs.extend([target] * repeats)
for _ in range(repeats):
run(target)
if number == order[0] and (2 in mcodes or 30 in mcodes):
result.terminated = True
break
if number != order[0] and 99 in mcodes:
break
active_calls.pop()
run(order[0])
called = set(result.called_programs)
if called != set(order[1:]):
raise EvaluationError("unreferenced or missing subprogram")
return result
def xy_length(segment: Segment) -> float:
return math.hypot(segment.end.x - segment.start.x, segment.end.y - segment.start.y)
def horizontal(segment: Segment, tolerance: float = 0.25) -> bool:
return abs(segment.start.z - segment.end.z) <= tolerance and xy_length(segment) > 1e-4
def percentile(values: list[float], fraction: float) -> float:
ordered = sorted(values)
if not ordered:
raise EvaluationError("empty percentile")
index = min(len(ordered) - 1, max(0, int(round((len(ordered) - 1) * fraction))))
return ordered[index]
def outside_distance(x: float, y: float, cx: float, cy: float) -> float:
dx = abs(x - cx) - PART_X / 2.0
dy = abs(y - cy) - PART_Y / 2.0
if dx <= 0 and dy <= 0:
return -min(-dx, -dy)
return math.hypot(max(dx, 0.0), max(dy, 0.0))
def covered(points: Iterable[Point], x: float, y: float, tolerance: float) -> bool:
return any(math.hypot(point.x - x, point.y - y) <= tolerance for point in points)
def rectangle_targets(cx: float, cy: float, half_x: float, half_y: float, spacing: float = 5.0) -> list[tuple[float, float]]:
targets: list[tuple[float, float]] = []
count_x = max(1, int(math.ceil(2 * half_x / spacing)))
count_y = max(1, int(math.ceil(2 * half_y / spacing)))
for index in range(count_x + 1):
x = cx - half_x + 2 * half_x * index / count_x
targets.extend([(x, cy - half_y), (x, cy + half_y)])
for index in range(count_y + 1):
y = cy - half_y + 2 * half_y * index / count_y
targets.extend([(cx - half_x, y), (cx + half_x, y)])
return targets
def validate_station(segments: list[Segment], wcs: str) -> None:
station = [segment for segment in segments if segment.wcs == wcs and not segment.machine]
cuts = [segment for segment in station if segment.motion in {1, 2, 3} and distance(segment.start, segment.end) > 1e-5]
if not cuts:
raise EvaluationError(f"{wcs} has no cutting motion")
for segment in cuts:
if (
segment.tool != 1
or not segment.spindle_on
or segment.spindle is None
or not close(segment.spindle, SPINDLE_RPM, 1.0)
or segment.feed is None
or not close(segment.feed, FEED_MM_MIN, 1.0)
or not segment.length_comp
or segment.h_offset != 1
):
raise EvaluationError(f"{wcs} contains cutting with invalid T/S/F/H state")
horizontal_cuts = [segment for segment in cuts if horizontal(segment)]
if not horizontal_cuts:
raise EvaluationError(f"{wcs} lacks horizontal machining")
face_z = max((segment.start.z + segment.end.z) / 2.0 for segment in horizontal_cuts)
bottom_z = min((segment.start.z + segment.end.z) / 2.0 for segment in horizontal_cuts)
depth = face_z - bottom_z
if not 9.5 <= depth <= 10.75:
raise EvaluationError(f"{wcs} lacks the required 10 mm face-to-contour depth")
deep_segments = [
segment
for segment in horizontal_cuts
if abs((segment.start.z + segment.end.z) / 2.0 - bottom_z) <= 0.35
]
deep_points = [point for segment in deep_segments for point in segment.samples]
if len(deep_points) < 40 or sum(xy_length(segment) for segment in deep_segments) < 130.0:
raise EvaluationError(f"{wcs} contour is incomplete")
xs = [point.x for point in deep_points]
ys = [point.y for point in deep_points]
cx = (percentile(xs, 0.05) + percentile(xs, 0.95)) / 2.0
cy = (percentile(ys, 0.05) + percentile(ys, 0.95)) / 2.0
face_segments = [
segment
for segment in horizontal_cuts
if abs((segment.start.z + segment.end.z) / 2.0 - face_z) <= 0.35
]
face_points = [point for segment in face_segments for point in segment.samples]
if len(face_points) < 80 or sum(xy_length(segment) for segment in face_segments) < 150.0:
raise EvaluationError(f"{wcs} face sweep is too small")
for ix in range(10):
x = cx - PART_X / 2.0 + PART_X * ix / 9.0
for iy in range(7):
y = cy - PART_Y / 2.0 + PART_Y * iy / 6.0
if not covered(face_points, x, y, TOOL_RADIUS_MM + 0.35):
raise EvaluationError(f"{wcs} face undercoverage")
offset_targets = rectangle_targets(cx, cy, PART_X / 2.0 + TOOL_RADIUS_MM, PART_Y / 2.0 + TOOL_RADIUS_MM)
nominal_targets = rectangle_targets(cx, cy, PART_X / 2.0, PART_Y / 2.0)
offset_ok = all(covered(deep_points, x, y, 1.25) for x, y in offset_targets)
nominal_ok = all(covered(deep_points, x, y, 1.25) for x, y in nominal_targets)
if offset_ok:
if any(outside_distance(point.x, point.y, cx, cy) < 2.7 for point in deep_points):
raise EvaluationError(f"{wcs} contour intrudes into the part")
elif nominal_ok:
if not any(segment.comp in {41, 42} and segment.d_offset is not None and segment.d_offset > 0 for segment in deep_segments):
raise EvaluationError(f"{wcs} nominal contour lacks controller compensation")
if any(outside_distance(point.x, point.y, cx, cy) < -0.75 for point in deep_points):
raise EvaluationError(f"{wcs} compensated contour self-intersects the part")
else:
raise EvaluationError(f"{wcs} lacks a closed full outside contour")
for segment in station:
if segment.motion != 0 or min(segment.start.z, segment.end.z) >= face_z - 0.5:
continue
if any(outside_distance(point.x, point.y, cx, cy) < 2.7 for point in segment.samples):
raise EvaluationError(f"{wcs} has a rapid move through stock")
def validate_result(result: ProgramResult) -> None:
if not result.terminated or not result.segments:
raise EvaluationError("program did not terminate after real motion")
if not result.selected_tools or any(tool != 1 for tool in result.selected_tools):
raise EvaluationError("only T1 may be selected")
if not result.changed_tools or any(tool != 1 for tool in result.changed_tools):
raise EvaluationError("only T1 may be changed")
if any(segment.machine and segment.motion in {1, 2, 3} for segment in result.segments):
raise EvaluationError("machine-coordinate cutting is not station geometry")
offsets = {segment.wcs for segment in result.segments if segment.wcs is not None and not segment.machine}
approved = (
{"G54", "G55", "G56", "G57"},
{"G54.1P1", "G54.1P2", "G54.1P3", "G54.1P4"},
)
expected = next((group for group in approved if offsets == group), None)
if expected is None:
raise EvaluationError("program must use exactly four approved posted offsets")
for wcs in sorted(expected):
validate_station(result.segments, wcs)
def evaluate_text(src: str) -> bool:
try:
validate_result(execute(src))
return True
except (EvaluationError, ValueError, OverflowError, RecursionError):
return False
def main() -> bool:
path = TARGET / NC_NAME
if not path.is_file() or path.stat().st_size <= 0 or path.stat().st_size > MAX_BYTES:
return False
return evaluate_text(path.read_text(encoding="utf-8", errors="strict"))
if __name__ == "__main__":
try:
ok = main()
except Exception:
ok = False
print("True" if ok else "False")
raise SystemExit(0)