Download task/single-software-execution/gui/solidcam/task-13/eval.py from HongchengGao/EngiWorld-Tasks: direct link, hf CLI and curl.
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27.6 kB
| from __future__ import annotations | |
| import math | |
| import os | |
| import re | |
| from dataclasses import dataclass, field | |
| from pathlib import Path | |
| DEFAULT_TARGET = r"C:\Users\User\Desktop" | |
| TARGET = Path(os.environ.get("EVAL_TARGET_DIR", os.environ.get("OUTPUT_ROOT", DEFAULT_TARGET))) | |
| OUTPUT_NAME = "task-13.nc" | |
| WORD_RE = re.compile(r"([A-Z])\s*([+-]?(?:\d+(?:\.\d*)?|\.\d+))", re.IGNORECASE) | |
| COMMENT_RE = re.compile(r"\([^()]*\)") | |
| LINEAR_TOL = 1.5 | |
| Z_TOL = 0.65 | |
| class Record: | |
| line: int | |
| section: int | |
| motion: int | |
| start: dict[str, float | None] | |
| end: dict[str, float | None] | |
| explicit: dict[str, float] | |
| tool: int | |
| wcs: str | None | |
| operation: str | None | |
| spindle_on: bool | |
| feed: float | None | |
| explicit_feed: float | None | |
| cutter_comp: int | None | |
| tool_diameter: float | None | |
| class Section: | |
| tool: int | |
| tool_diameter: float | None | |
| records: list[Record] = field(default_factory=list) | |
| has_g43: bool = False | |
| class Program: | |
| records: list[Record] = field(default_factory=list) | |
| sections: list[Section] = field(default_factory=list) | |
| units_seen: set[int] = field(default_factory=set) | |
| axes_seen: set[str] = field(default_factory=set) | |
| m_codes_seen: set[int] = field(default_factory=set) | |
| m30_lines: list[int] = field(default_factory=list) | |
| code_lines: list[str] = field(default_factory=list) | |
| class Rectangle: | |
| z: float | |
| section: int | |
| center: tuple[float, float] | |
| axis: tuple[float, float] | |
| normal: tuple[float, float] | |
| long_dim: float | |
| short_dim: float | |
| compensated: bool | |
| tool_diameter: float | None | |
| class FacePattern: | |
| z: float | |
| tracks: int | |
| along_span: float | |
| cross_span: float | |
| tool_diameter: float | None | |
| def close(left: float, right: float, tolerance: float = LINEAR_TOL) -> bool: | |
| return abs(float(left) - float(right)) <= tolerance | |
| def code_only(raw: str) -> str: | |
| return COMMENT_RE.sub(" ", raw.upper()).split(";", 1)[0] | |
| def operation_from_comments(raw: str, current: str | None) -> str | None: | |
| for comment in COMMENT_RE.findall(raw.upper()): | |
| if re.search(r"\b(?:CONTOUR|PROFILE)\b", comment): | |
| current = "profile" | |
| elif re.search(r"\bFACE(?:\s+MILL(?:ING)?)?\b", comment): | |
| current = "face" | |
| return current | |
| def diameter_from_comments(raw: str) -> float | None: | |
| for comment in COMMENT_RE.findall(raw.upper()): | |
| metric = re.search(r"\b(\d+(?:\.\d+)?)\s*MM\b", comment) | |
| if metric: | |
| candidate = float(metric.group(1)) | |
| return candidate if 1.0 <= candidate <= 100.0 else None | |
| inch = re.search(r"\b(\d+(?:\.\d+)?)\s*(?:IN|INCH)\b", comment) | |
| if inch: | |
| candidate = float(inch.group(1)) * 25.4 | |
| return candidate if 1.0 <= candidate <= 100.0 else None | |
| body = comment[1:-1].strip() | |
| fraction = re.search(r"^(\d{1,2})\s*/\s*(\d{1,2})\s+(?:EM|END\s+MILL)\b", body) | |
| if fraction: | |
| numerator, denominator = map(int, fraction.groups()) | |
| if ( | |
| denominator in {2, 4, 8, 16, 32, 64} | |
| and 0 < numerator < denominator | |
| and math.gcd(numerator, denominator) == 1 | |
| ): | |
| candidate = numerator / denominator * 25.4 | |
| return candidate if 1.0 <= candidate <= 100.0 else None | |
| return None | |
| def parse_program(source: str) -> Program: | |
| program = Program() | |
| position: dict[str, float | None] = {"x": None, "y": None, "z": None} | |
| unit_scale: float | None = None | |
| absolute = True | |
| wcs: str | None = None | |
| operation: str | None = None | |
| pending_tool_diameter: float | None = None | |
| pending_tool_diameter_line: int | None = None | |
| pending_tool: int | None = None | |
| current_tool: int | None = None | |
| section_index: int | None = None | |
| modal_motion: int | None = None | |
| spindle_on = False | |
| modal_feed: float | None = None | |
| cutter_comp: int | None = None | |
| for line_number, raw in enumerate(source.splitlines()): | |
| operation = operation_from_comments(raw, operation) | |
| diameter_hint = diameter_from_comments(raw) | |
| if diameter_hint is not None: | |
| pending_tool_diameter = diameter_hint | |
| pending_tool_diameter_line = line_number | |
| code = code_only(raw) | |
| program.code_lines.append(code) | |
| words = [(letter.upper(), float(value)) for letter, value in WORD_RE.findall(code)] | |
| if not words: | |
| continue | |
| g_codes = [int(round(value)) for letter, value in words if letter == "G"] | |
| m_codes = [int(round(value)) for letter, value in words if letter == "M"] | |
| program.m_codes_seen.update(m_codes) | |
| if 20 in g_codes: | |
| unit_scale = 25.4 | |
| program.units_seen.add(20) | |
| if 21 in g_codes: | |
| unit_scale = 1.0 | |
| program.units_seen.add(21) | |
| if 90 in g_codes: | |
| absolute = True | |
| if 91 in g_codes: | |
| absolute = False | |
| for value in g_codes: | |
| if 54 <= value <= 59: | |
| wcs = f"G{value}" | |
| for letter, value in words: | |
| if letter == "T": | |
| pending_tool = int(round(value)) | |
| if letter in {"X", "Y", "Z", "A", "B", "C", "U", "V", "W"}: | |
| program.axes_seen.add(letter) | |
| if 6 in m_codes: | |
| if pending_tool is None or pending_tool <= 0: | |
| raise ValueError("M6 without a valid tool") | |
| current_tool = pending_tool | |
| recent_diameter = ( | |
| pending_tool_diameter | |
| if pending_tool_diameter_line is not None and line_number - pending_tool_diameter_line <= 3 | |
| else None | |
| ) | |
| program.sections.append(Section(current_tool, recent_diameter)) | |
| section_index = len(program.sections) - 1 | |
| pending_tool_diameter = None | |
| pending_tool_diameter_line = None | |
| spindle_on = False | |
| cutter_comp = None | |
| if 3 in m_codes or 4 in m_codes: | |
| spindle_on = True | |
| if 5 in m_codes: | |
| spindle_on = False | |
| if 30 in m_codes: | |
| program.m30_lines.append(line_number) | |
| if 43 in g_codes and section_index is not None: | |
| program.sections[section_index].has_g43 = True | |
| if 40 in g_codes: | |
| cutter_comp = None | |
| if 41 in g_codes or 42 in g_codes: | |
| cutter_comp = 41 if 41 in g_codes else 42 | |
| if 80 in g_codes: | |
| modal_motion = None | |
| explicit_motion = next((value for value in g_codes if value in {0, 1, 2, 3}), None) | |
| if explicit_motion is not None: | |
| modal_motion = explicit_motion | |
| converted: dict[str, float] = {} | |
| if unit_scale is not None: | |
| converted = { | |
| letter.lower(): value * unit_scale | |
| for letter, value in words | |
| if letter in {"X", "Y", "Z", "I", "J", "K", "R"} | |
| } | |
| feeds = [value * unit_scale for letter, value in words if letter == "F"] | |
| if feeds: | |
| modal_feed = feeds[-1] | |
| explicit_feed = feeds[-1] if unit_scale is not None and feeds else None | |
| machine_coordinate = 53 in g_codes or 28 in g_codes or 30 in g_codes | |
| start = dict(position) | |
| if not machine_coordinate and unit_scale is not None: | |
| for axis in ("x", "y", "z"): | |
| if axis not in converted: | |
| continue | |
| if absolute: | |
| position[axis] = converted[axis] | |
| elif position[axis] is not None: | |
| position[axis] += converted[axis] | |
| else: | |
| raise ValueError("incremental motion before a known work position") | |
| if machine_coordinate or current_tool is None or section_index is None or modal_motion is None: | |
| continue | |
| if not any(axis in converted for axis in ("x", "y", "z")) and not ( | |
| modal_motion in {2, 3} and any(axis in converted for axis in ("i", "j", "r")) | |
| ): | |
| continue | |
| record = Record( | |
| line_number, | |
| section_index, | |
| modal_motion, | |
| start, | |
| dict(position), | |
| converted, | |
| current_tool, | |
| wcs, | |
| operation, | |
| spindle_on, | |
| modal_feed, | |
| explicit_feed, | |
| cutter_comp, | |
| program.sections[section_index].tool_diameter, | |
| ) | |
| program.records.append(record) | |
| program.sections[section_index].records.append(record) | |
| return program | |
| def point(record: Record, which: str = "end") -> tuple[float, float] | None: | |
| state = record.start if which == "start" else record.end | |
| if state["x"] is None or state["y"] is None: | |
| return None | |
| return float(state["x"]), float(state["y"]) | |
| def xy_length(record: Record) -> float: | |
| start, end = point(record, "start"), point(record) | |
| return 0.0 if start is None or end is None else math.dist(start, end) | |
| def is_xy_cut(record: Record) -> bool: | |
| return record.motion in {1, 2, 3} and ( | |
| xy_length(record) > 1.0e-6 | |
| or (record.motion in {2, 3} and any(axis in record.explicit for axis in ("i", "j", "r"))) | |
| ) | |
| def project(value: tuple[float, float], axis: tuple[float, float]) -> float: | |
| return value[0] * axis[0] + value[1] * axis[1] | |
| def cluster_tracks(items: list[tuple[float, float, float]], tolerance: float = 1.2): | |
| clusters: list[dict[str, object]] = [] | |
| for fixed, low, high in sorted(items): | |
| target = next((item for item in clusters if abs(float(item["fixed"]) - fixed) <= tolerance), None) | |
| if target is None: | |
| clusters.append({"fixed": fixed, "values": [fixed], "intervals": [(low, high)]}) | |
| else: | |
| values = target["values"] | |
| intervals = target["intervals"] | |
| assert isinstance(values, list) and isinstance(intervals, list) | |
| values.append(fixed) | |
| intervals.append((low, high)) | |
| target["fixed"] = sum(values) / len(values) | |
| return clusters | |
| def covered_fraction(intervals: list[tuple[float, float]], low: float, high: float) -> float: | |
| clipped = sorted((max(low, a), min(high, b)) for a, b in intervals if min(high, b) > max(low, a)) | |
| if not clipped or high <= low: | |
| return 0.0 | |
| merged: list[list[float]] = [] | |
| for left, right in clipped: | |
| if not merged or left > merged[-1][1] + 1.0: | |
| merged.append([left, right]) | |
| else: | |
| merged[-1][1] = max(merged[-1][1], right) | |
| return sum(right - left for left, right in merged) / (high - low) | |
| def rectangles_at_level(records: list[Record], z: float, section: int) -> list[Rectangle]: | |
| straight = [ | |
| record | |
| for record in records | |
| if record.section == section | |
| and record.motion == 1 | |
| and record.end["z"] is not None | |
| and close(float(record.end["z"]), z, 0.3) | |
| and xy_length(record) >= 8.0 | |
| ] | |
| found: list[Rectangle] = [] | |
| for seed in straight: | |
| start, end = point(seed, "start"), point(seed) | |
| assert start is not None and end is not None | |
| delta = (end[0] - start[0], end[1] - start[1]) | |
| length = math.hypot(*delta) | |
| axis = (delta[0] / length, delta[1] / length) | |
| normal = (-axis[1], axis[0]) | |
| along: list[tuple[float, float, float]] = [] | |
| across: list[tuple[float, float, float]] = [] | |
| for record in straight: | |
| left, right = point(record, "start"), point(record) | |
| assert left is not None and right is not None | |
| vector = (right[0] - left[0], right[1] - left[1]) | |
| segment_length = math.hypot(*vector) | |
| if segment_length <= 1.0e-9: | |
| continue | |
| direction = (vector[0] / segment_length, vector[1] / segment_length) | |
| if abs(direction[0] * axis[0] + direction[1] * axis[1]) >= 0.995: | |
| values = sorted((project(left, axis), project(right, axis))) | |
| along.append(((project(left, normal) + project(right, normal)) / 2.0, *values)) | |
| elif abs(direction[0] * normal[0] + direction[1] * normal[1]) >= 0.995: | |
| values = sorted((project(left, normal), project(right, normal))) | |
| across.append(((project(left, axis) + project(right, axis)) / 2.0, *values)) | |
| u_tracks, v_tracks = cluster_tracks(along), cluster_tracks(across) | |
| for first_u_index, first_u in enumerate(u_tracks): | |
| for second_u in u_tracks[first_u_index + 1 :]: | |
| v_low, v_high = sorted((float(first_u["fixed"]), float(second_u["fixed"]))) | |
| for first_v_index, first_v in enumerate(v_tracks): | |
| for second_v in v_tracks[first_v_index + 1 :]: | |
| u_low, u_high = sorted((float(first_v["fixed"]), float(second_v["fixed"]))) | |
| dimensions = sorted((u_high - u_low, v_high - v_low), reverse=True) | |
| compensated = any(record.cutter_comp in {41, 42} for record in straight) | |
| diameter = next((record.tool_diameter for record in straight if record.tool_diameter), None) | |
| nominal_path = close(dimensions[0], 70.0, 3.0) and close(dimensions[1], 50.0, 3.0) | |
| tool_center_offset_path = ( | |
| diameter is not None | |
| and close(dimensions[0], 70.0 + diameter, 3.0) | |
| and close(dimensions[1], 50.0 + diameter, 3.0) | |
| ) | |
| if not (nominal_path or tool_center_offset_path): | |
| continue | |
| edge_items = (first_u, second_u, first_v, second_v) | |
| spans = ( | |
| covered_fraction(first_u["intervals"], u_low, u_high), | |
| covered_fraction(second_u["intervals"], u_low, u_high), | |
| covered_fraction(first_v["intervals"], v_low, v_high), | |
| covered_fraction(second_v["intervals"], v_low, v_high), | |
| ) | |
| if min(spans) < 0.72: | |
| continue | |
| center_u, center_v = (u_low + u_high) / 2.0, (v_low + v_high) / 2.0 | |
| center = ( | |
| center_u * axis[0] + center_v * normal[0], | |
| center_u * axis[1] + center_v * normal[1], | |
| ) | |
| long_axis, short_axis = axis, normal | |
| if u_high - u_low < v_high - v_low: | |
| long_axis, short_axis = normal, (-axis[0], -axis[1]) | |
| found.append( | |
| Rectangle( | |
| z, | |
| section, | |
| center, | |
| long_axis, | |
| short_axis, | |
| dimensions[0], | |
| dimensions[1], | |
| compensated, | |
| diameter, | |
| ) | |
| ) | |
| unique: list[Rectangle] = [] | |
| for item in found: | |
| if not any( | |
| close(item.long_dim, old.long_dim, 0.8) | |
| and close(item.short_dim, old.short_dim, 0.8) | |
| and math.dist(item.center, old.center) <= 1.0 | |
| for old in unique | |
| ): | |
| unique.append(item) | |
| return unique | |
| def find_profile(records: list[Record]) -> Rectangle | None: | |
| candidates: list[Rectangle] = [] | |
| sections = sorted({record.section for record in records}) | |
| for section in sections: | |
| levels = sorted( | |
| { | |
| round(float(record.end["z"]), 2) | |
| for record in records | |
| if record.section == section and record.end["z"] is not None and is_xy_cut(record) | |
| } | |
| ) | |
| for level in levels: | |
| candidates.extend(rectangles_at_level(records, level, section)) | |
| return min(candidates, key=lambda item: item.z) if candidates else None | |
| def local(value: tuple[float, float], rectangle: Rectangle) -> tuple[float, float]: | |
| delta = (value[0] - rectangle.center[0], value[1] - rectangle.center[1]) | |
| return project(delta, rectangle.axis), project(delta, rectangle.normal) | |
| def same_point(left: Record, right: Record, tolerance: float = 0.08) -> bool: | |
| left_point, right_point = point(left), point(right, "start") | |
| if left_point is None or right_point is None: | |
| return False | |
| left_z, right_z = left.end["z"], right.start["z"] | |
| return ( | |
| math.dist(left_point, right_point) <= tolerance | |
| and left_z is not None | |
| and right_z is not None | |
| and close(float(left_z), float(right_z), tolerance) | |
| ) | |
| def segment_intersects_nominal_interior( | |
| start: tuple[float, float], end: tuple[float, float] | |
| ) -> bool: | |
| # Liang-Barsky against a slightly shrunken open 70 x 50 mm rectangle. | |
| xmin, xmax, ymin, ymax = -34.95, 34.95, -24.95, 24.95 | |
| dx, dy = end[0] - start[0], end[1] - start[1] | |
| p = (-dx, dx, -dy, dy) | |
| q = (start[0] - xmin, xmax - start[0], start[1] - ymin, ymax - start[1]) | |
| low, high = 0.0, 1.0 | |
| for denominator, numerator in zip(p, q): | |
| if abs(denominator) <= 1.0e-12: | |
| if numerator < 0.0: | |
| return False | |
| continue | |
| ratio = numerator / denominator | |
| if denominator < 0.0: | |
| low = max(low, ratio) | |
| else: | |
| high = min(high, ratio) | |
| if low > high: | |
| return False | |
| return True | |
| def valid_zero_feed_link(record: Record, records: list[Record], profile: Rectangle) -> bool: | |
| if record.motion != 1 or record.explicit_feed is None or abs(record.explicit_feed) > 1.0e-9: | |
| return False | |
| if record.start["z"] is None or record.end["z"] is None: | |
| return False | |
| if not close(float(record.start["z"]), float(record.end["z"]), 0.05): | |
| return False | |
| start, end = point(record, "start"), point(record) | |
| if start is None or end is None: | |
| return False | |
| try: | |
| index = records.index(record) | |
| except ValueError: | |
| return False | |
| neighbors = [] | |
| if index > 0: | |
| neighbors.append((records[index - 1], same_point(records[index - 1], record))) | |
| if index + 1 < len(records): | |
| neighbors.append((records[index + 1], same_point(record, records[index + 1]))) | |
| if not any( | |
| shared | |
| and neighbor.motion == 1 | |
| and neighbor.feed is not None | |
| and neighbor.feed > 0 | |
| and neighbor.end["z"] is not None | |
| and close(float(neighbor.end["z"]), float(record.end["z"]), 0.05) | |
| for neighbor, shared in neighbors | |
| ): | |
| return False | |
| return not segment_intersects_nominal_interior(local(start, profile), local(end, profile)) | |
| def face_patterns(records: list[Record], rectangle: Rectangle) -> list[FacePattern]: | |
| result: list[FacePattern] = [] | |
| for section in sorted({record.section for record in records}): | |
| levels = sorted( | |
| { | |
| round(float(record.end["z"]), 2) | |
| for record in records | |
| if record.section == section and record.end["z"] is not None and is_xy_cut(record) | |
| } | |
| ) | |
| for level in levels: | |
| level_records = [ | |
| record | |
| for record in records | |
| if record.section == section | |
| and record.motion == 1 | |
| and record.feed is not None | |
| and record.feed > 0 | |
| and record.end["z"] is not None | |
| and close(float(record.end["z"]), level, 0.3) | |
| and xy_length(record) >= 8.0 | |
| ] | |
| for direction, cross_direction, nominal_along, nominal_cross in ( | |
| (rectangle.axis, rectangle.normal, 70.0, 50.0), | |
| (rectangle.normal, rectangle.axis, 50.0, 70.0), | |
| ): | |
| tracks: list[tuple[float, float, float]] = [] | |
| for record in level_records: | |
| start, end = point(record, "start"), point(record) | |
| assert start is not None and end is not None | |
| vector = (end[0] - start[0], end[1] - start[1]) | |
| length = math.hypot(*vector) | |
| alignment = abs((vector[0] * direction[0] + vector[1] * direction[1]) / length) | |
| if alignment < 0.995 or length < nominal_along * 0.72: | |
| continue | |
| along = sorted((project(start, direction), project(end, direction))) | |
| cross = (project(start, cross_direction) + project(end, cross_direction)) / 2.0 | |
| tracks.append((cross, along[0], along[1])) | |
| clustered = cluster_tracks(tracks) | |
| if not clustered: | |
| continue | |
| cross_values = [float(item["fixed"]) for item in clustered] | |
| along_low = min(low for _, low, _ in tracks) | |
| along_high = max(high for _, _, high in tracks) | |
| center_cross = project(rectangle.center, cross_direction) | |
| center_along = project(rectangle.center, direction) | |
| cross_span = max(cross_values) - min(cross_values) | |
| tool_diameter = next((record.tool_diameter for record in level_records if record.tool_diameter), None) | |
| if tool_diameter is not None and not 3.0 <= tool_diameter <= 100.0: | |
| continue | |
| radius = (tool_diameter or 0.0) / 2.0 | |
| if along_high - along_low + 2.0 * radius < nominal_along - 2.0: | |
| continue | |
| if not ( | |
| along_low - radius <= center_along - nominal_along / 2.0 + 2.0 | |
| and along_high + radius >= center_along + nominal_along / 2.0 - 2.0 | |
| ): | |
| continue | |
| if cross_span + 2.0 * radius < nominal_cross - 2.0: | |
| continue | |
| if not ( | |
| min(cross_values) - radius <= center_cross - nominal_cross / 2.0 + 2.0 | |
| and max(cross_values) + radius >= center_cross + nominal_cross / 2.0 - 2.0 | |
| ): | |
| continue | |
| result.append( | |
| FacePattern(float(level), len(clustered), along_high - along_low, cross_span, tool_diameter) | |
| ) | |
| return result | |
| def has_interior_deep_cut(records: list[Record], rectangle: Rectangle, face_z: float) -> bool: | |
| for record in records: | |
| if not is_xy_cut(record) or record.end["z"] is None or float(record.end["z"]) > face_z - 1.0: | |
| continue | |
| start, end = point(record, "start"), point(record) | |
| if start is None or end is None or xy_length(record) < 3.0: | |
| continue | |
| middle = ((start[0] + end[0]) / 2.0, (start[1] + end[1]) / 2.0) | |
| u, v = local(middle, rectangle) | |
| if abs(u) < 30.0 and abs(v) < 20.0: | |
| return True | |
| return False | |
| def safe_rapids(program: Program, face_z: dict[str, float]) -> bool: | |
| for record in program.records: | |
| if record.motion != 0 or xy_length(record) <= 1.0e-6 or record.wcs not in face_z: | |
| continue | |
| heights = [float(value) for value in (record.start["z"], record.end["z"]) if value is not None] | |
| if heights and min(heights) < face_z[record.wcs] + 0.9: | |
| return False | |
| return True | |
| def read_nc(path: Path) -> str | None: | |
| try: | |
| if not path.is_file() or not 500 <= path.stat().st_size <= 2_000_000: | |
| return None | |
| data = path.read_bytes() | |
| if b"\x00" in data: | |
| return None | |
| source = data.decode("latin-1") | |
| printable = sum(ch in "\t\r\n" or 32 <= ord(ch) <= 126 for ch in source) | |
| return source if printable / max(1, len(source)) >= 0.98 else None | |
| except Exception: | |
| return None | |
| def validate_nc(path: Path) -> bool: | |
| source = read_nc(path) | |
| if source is None: | |
| return False | |
| try: | |
| program = parse_program(source) | |
| except Exception: | |
| return False | |
| if len(program.units_seen) != 1 or program.axes_seen & {"A", "B", "C", "U", "V", "W"}: | |
| return False | |
| if not {6, 30} <= program.m_codes_seen or not ({3, 4} & program.m_codes_seen): | |
| return False | |
| if len(program.m30_lines) != 1 or any(WORD_RE.search(line) for line in program.code_lines[program.m30_lines[0] + 1 :]): | |
| return False | |
| xy_cuts = [record for record in program.records if is_xy_cut(record)] | |
| if len(xy_cuts) < 20 or {record.wcs for record in xy_cuts} != {"G54", "G55"}: | |
| return False | |
| if any(record.operation not in {"face", "profile"} for record in xy_cuts): | |
| return False | |
| if any(not record.spindle_on for record in xy_cuts): | |
| return False | |
| used_sections = {record.section for record in xy_cuts} | |
| if any(not program.sections[index].has_g43 for index in used_sections): | |
| return False | |
| profiles: dict[str, Rectangle] = {} | |
| faces: dict[str, FacePattern] = {} | |
| for wcs in ("G54", "G55"): | |
| profile_records = [record for record in xy_cuts if record.wcs == wcs and record.operation == "profile"] | |
| face_records = [record for record in xy_cuts if record.wcs == wcs and record.operation == "face"] | |
| profile = find_profile(profile_records) | |
| if profile is None: | |
| return False | |
| for record in profile_records: | |
| if record.feed is None or record.feed <= 0: | |
| return False | |
| for record in face_records: | |
| if record.feed is not None and record.feed > 0: | |
| continue | |
| if not valid_zero_feed_link(record, face_records, profile): | |
| return False | |
| candidates = [ | |
| item | |
| for item in face_patterns(face_records, profile) | |
| if 11.0 <= item.z - profile.z <= 14.5 | |
| ] | |
| if not candidates: | |
| return False | |
| face = max(candidates, key=lambda item: (item.tracks, item.along_span)) | |
| if has_interior_deep_cut(profile_records, profile, face.z): | |
| return False | |
| profiles[wcs], faces[wcs] = profile, face | |
| first_profile, second_profile = profiles["G54"], profiles["G55"] | |
| if not close(first_profile.long_dim, second_profile.long_dim, 2.0): | |
| return False | |
| if not close(first_profile.short_dim, second_profile.short_dim, 2.0): | |
| return False | |
| first_depth = faces["G54"].z - first_profile.z | |
| second_depth = faces["G55"].z - second_profile.z | |
| if not close(first_depth, second_depth, 1.5): | |
| return False | |
| if abs(faces["G54"].tracks - faces["G55"].tracks) > 1: | |
| return False | |
| if not close(faces["G54"].along_span, faces["G55"].along_span, 3.0): | |
| return False | |
| diameters = (faces["G54"].tool_diameter, faces["G55"].tool_diameter) | |
| if None not in diameters and not close(float(diameters[0]), float(diameters[1]), 0.5): | |
| return False | |
| if not safe_rapids(program, {name: faces[name].z for name in faces}): | |
| return False | |
| return True | |
| def evaluate() -> bool: | |
| return validate_nc(TARGET / OUTPUT_NAME) | |
| if __name__ == "__main__": | |
| try: | |
| result = evaluate() | |
| except Exception: | |
| result = False | |
| print("True" if result else "False") | |