KOKO\Mimi
437 lines
24 KiB
Python
437 lines
24 KiB
Python
"""Compare the approved 101-frame HHT reference without modifying artifacts.
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Run with ``uv run --with h5py python -B scripts/verification/compare_hht_dynamic.py``.
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Only the documented displacement/rotation reference quantities are compared;
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this is not an independent validation of inertia, energy, or convergence.
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"""
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from __future__ import annotations
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import argparse
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import csv
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from decimal import Decimal, InvalidOperation
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import hashlib
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import json
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import math
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from pathlib import Path
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import re
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from typing import Any
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import h5py
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import numpy as np
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ROOT = Path(__file__).resolve().parents[2]
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CASE = "shellNL-dyn-meshfine"
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REFERENCE_DIRECTORY = ROOT / "reference" / CASE
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NODE_LABELS = (2, 21, 22, 69, 70, 165, 309, 442, 586)
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INSTANCE = "PART-1-1"
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STEP = "Step-1"
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NODE_COUNT = 729
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FRAME_COUNT = 101
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INCREMENT = 0.1
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COMPONENTS = ("U-U1", "U-U2", "U-U3", "UR-UR1", "UR-UR2", "UR-UR3")
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CSV_COLUMNS = ("Frame", "Part Instance Name", "Node Label", *COMPONENTS)
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FRAME_PATTERN = re.compile(
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r"Increment\s+(\d+):\s*Step Time\s*=\s*"
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r"([+-]?(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][+-]?\d+)?)"
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)
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POLICY = {
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"policy_id": "common-reference-tolerance",
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"near_zero_ratio": 0.01,
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"relative_tolerance": 0.05,
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"relative_rms_tolerance": 0.01,
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}
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class ComparisonError(ValueError):
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"""An identity/schema/finite failure that must precede tolerance evaluation."""
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def __init__(self, code: str, message: str):
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super().__init__(message)
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self.code = code
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def require(condition: bool, code: str, message: str) -> None:
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if not condition:
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raise ComparisonError(code, message)
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def positive_label(text: str) -> int:
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require(bool(re.fullmatch(r"\d+", text)), "invalid-node-label", repr(text))
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label = int(text)
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require(0 < label <= 2**63 - 1, "invalid-node-label", repr(text))
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return label
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def canonical_instance(text: str) -> str:
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return text.translate(str.maketrans("abcdefghijklmnopqrstuvwxyz", "ABCDEFGHIJKLMNOPQRSTUVWXYZ"))
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def input_inventory(path: Path) -> tuple[dict[int, tuple[float, ...]], str]:
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"""Read identity and schedule authority from this specific approved INP."""
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raw = path.read_bytes()
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nodes: dict[int, tuple[float, ...]] = {}
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parts: list[str] = []
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instances: list[tuple[str, str]] = []
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steps: list[dict[str, str]] = []
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dynamic_rows: list[tuple[float, float]] = []
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keyword = ""
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in_part = False
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for line_number, line in enumerate(raw.decode("utf-8-sig").splitlines(), 1):
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text = line.strip()
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if not text or text.startswith("**"):
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continue
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fields = [field.strip() for field in text.split(",")]
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if text.startswith("*"):
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keyword = fields[0].upper()
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parameters = dict(
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(name.upper(), value.strip())
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for field in fields[1:] if "=" in field
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for name, value in [field.split("=", 1)]
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)
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if keyword == "*PART":
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in_part = True
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parts.append(canonical_instance(parameters.get("NAME", "")))
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elif keyword == "*END PART":
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in_part = False
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elif keyword == "*INSTANCE":
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instances.append((canonical_instance(parameters.get("NAME", "")),
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canonical_instance(parameters.get("PART", ""))))
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elif keyword == "*STEP":
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steps.append(parameters)
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elif keyword == "*DYNAMIC":
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require([field.upper() for field in fields] == ["*DYNAMIC", "DIRECT"],
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"wrong-input-procedure", f"line {line_number}")
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continue
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if keyword == "*NODE":
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require(in_part and len(fields) == 4, "invalid-input-node", f"line {line_number}")
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label = positive_label(fields[0])
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require(label not in nodes, "duplicate-input-node", str(label))
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coordinates = tuple(float(value) for value in fields[1:])
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require(all(math.isfinite(value) for value in coordinates),
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"nonfinite-input-node", str(label))
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nodes[label] = coordinates
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elif keyword == "*DYNAMIC":
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if fields[-1] == "":
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fields.pop()
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require(len(fields) == 2, "wrong-input-schedule", f"line {line_number}")
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dynamic_rows.append((float(fields[0]), float(fields[1])))
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require(parts == ["PART-1"] and instances == [(INSTANCE, "PART-1")],
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"wrong-input-instance", "Expected the original single identity instance.")
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require(len(nodes) == NODE_COUNT and set(NODE_LABELS) <= nodes.keys(),
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"wrong-input-node-inventory", f"Expected {NODE_COUNT} source nodes.")
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require(len(steps) == 1 and steps[0].get("NAME") == STEP
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and steps[0].get("NLGEOM", "").upper() == "YES"
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and steps[0].get("INC") == "1000", "wrong-input-step", str(steps))
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require(dynamic_rows == [(INCREMENT, 10.0)], "wrong-input-schedule", str(dynamic_rows))
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value = 14695981039346656037
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for byte in raw:
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value = ((value ^ byte) * 1099511628211) & (2**64 - 1)
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return nodes, f"fnv1a64:{value:016x}"
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def read_reference(path: Path) -> dict[tuple[int, int], tuple[float, ...]]:
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rows: dict[tuple[int, int], tuple[float, ...]] = {}
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with path.open(encoding="utf-8-sig", newline="") as stream:
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reader = csv.reader(stream)
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header = [field.strip() for field in next(reader, [])]
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require(len(header) == len(set(header)), "duplicate-reference-column", str(header))
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require(set(CSV_COLUMNS) <= set(header), "missing-reference-column", str(header))
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for line_number, fields in enumerate(reader, 2):
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if not fields or all(not field.strip() for field in fields):
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continue
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require(len(fields) == len(header), "invalid-reference-row", f"line {line_number}")
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row = dict(zip(header, (field.strip() for field in fields)))
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match = FRAME_PATTERN.fullmatch(row["Frame"])
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require(match is not None, "invalid-reference-frame", f"line {line_number}")
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increment = int(match.group(1))
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time = Decimal(match.group(2))
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require(time.is_finite() and time == Decimal(increment) / Decimal(10),
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"wrong-reference-time", f"line {line_number}: {row['Frame']}")
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require(canonical_instance(row["Part Instance Name"]) == INSTANCE,
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"wrong-reference-instance", f"line {line_number}")
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label = positive_label(row["Node Label"])
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key = (increment, label)
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require(key not in rows, "duplicate-reference-row", str(key))
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values = tuple(float(row[component]) for component in COMPONENTS)
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require(all(math.isfinite(value) for value in values),
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"nonfinite-reference-value", str(key))
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rows[key] = values
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expected = {(frame, label) for frame in range(FRAME_COUNT) for label in NODE_LABELS}
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require(rows.keys() == expected, "reference-row-inventory",
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f"missing={sorted(expected - rows.keys())}; extra={sorted(rows.keys() - expected)}")
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return rows
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def text_value(value: Any) -> str:
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return value.decode("utf-8") if isinstance(value, bytes) else str(value)
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def string_attribute(obj: Any, name: str, expected: str | None = None) -> str:
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require(name in obj.attrs, "missing-hdf5-attribute", f"{obj.name}@{name}")
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attribute = obj.attrs.get_id(name)
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string = h5py.check_string_dtype(attribute.dtype)
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require(attribute.shape == () and string is not None and string.length is None
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and string.encoding == "utf-8", "wrong-hdf5-attribute-type", f"{obj.name}@{name}")
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value = text_value(obj.attrs[name])
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require(bool(value) and (expected is None or value == expected),
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"wrong-hdf5-attribute-value", f"{obj.name}@{name}: {value!r}")
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return value
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def numeric_attribute(obj: Any, name: str, dtype: str, expected: int | float) -> None:
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require(name in obj.attrs, "missing-hdf5-attribute", f"{obj.name}@{name}")
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attribute = obj.attrs.get_id(name)
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require(attribute.shape == () and attribute.dtype == np.dtype(dtype),
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"wrong-hdf5-attribute-type", f"{obj.name}@{name}")
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value = obj.attrs[name]
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require(math.isfinite(value) and value == expected, "wrong-hdf5-attribute-value",
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f"{obj.name}@{name}: {value!r}")
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def dataset(file: h5py.File, path: str, shape: tuple[int, ...]) -> h5py.Dataset:
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require(path in file and isinstance(file[path], h5py.Dataset), "missing-hdf5-dataset", path)
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result = file[path]
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require(result.shape == shape and result.chunks is None and result.compression is None,
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"wrong-hdf5-dataset-layout", path)
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return result
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def read_results(path: Path, nodes: dict[int, tuple[float, ...]],
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content_identity: str) -> tuple[list[np.ndarray], dict[str, Any]]:
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"""Precheck every result node/frame/component, then project by source key."""
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projected: list[np.ndarray] = []
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with h5py.File(path, "r") as file:
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require("metadata" in file and isinstance(file["metadata"], h5py.Group),
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"missing-hdf5-metadata", "/metadata")
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metadata = file["metadata"]
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for name, expected in {
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"feature_id": "hht-implicit-dynamics", "analysis_procedure": "hht-implicit-dynamics",
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"mass_formulation": "nodal-lumped-kinetic", "internal_formulation": "FESA-MITC4-total-lagrangian",
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"initial_state": "zero-q-v-step-load-0+",
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"acceleration_convention": "physical-endpoint-and-auxiliary-separated",
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"source_step_name": STEP, "step_name": STEP, "unit_system_label": "consistent-input-units",
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}.items():
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string_attribute(metadata, name, expected)
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string_attribute(metadata, "solver_version")
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source_identity = string_attribute(metadata, "source_input_identity")
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require(source_identity.endswith(";content_identity=" + content_identity),
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"wrong-input-content-identity", source_identity)
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require("schema_version" in metadata.attrs, "missing-hdf5-attribute", "/metadata@schema_version")
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version_attribute = metadata.attrs.get_id("schema_version")
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require(version_attribute.shape == () and version_attribute.dtype == np.dtype("<u8"),
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"wrong-hdf5-attribute-type", "/metadata@schema_version")
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schema_version = int(metadata.attrs["schema_version"])
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require(schema_version in (1, 2), "wrong-hdf5-attribute-value", "/metadata@schema_version")
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if schema_version == 2:
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string_attribute(metadata, "time_integration_formulation",
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"reduced-coordinate-HHT-with-physical-rate-reconstruction")
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elif "time_integration_formulation" in metadata.attrs:
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string_attribute(metadata, "time_integration_formulation", "full-coordinate-HHT")
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for name, dtype, value in (
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("schema_version", "<u8", schema_version), ("increment_count", "<u8", 100),
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("maximum_increments", "<u8", 1000), ("alpha", "<f8", -0.05),
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("beta", "<f8", 0.275625), ("gamma", "<f8", 0.55),
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("initial_increment", "<f8", INCREMENT), ("time_period", "<f8", 10.0),
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):
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numeric_attribute(metadata, name, dtype, value)
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table = dataset(file, "model/nodes", (NODE_COUNT,))
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require(table.dtype.names == ("internal_node_id", "instance_name", "source_label", "coordinates"),
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"wrong-node-schema", str(table.dtype))
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require(table.dtype["internal_node_id"] == np.dtype("<u8")
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and table.dtype["coordinates"] == np.dtype(("<f8", (3,))),
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"wrong-node-schema", str(table.dtype))
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for name in ("instance_name", "source_label"):
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string = h5py.check_string_dtype(table.dtype[name])
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require(string is not None and string.length is None and string.encoding == "utf-8",
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"wrong-node-schema", name)
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node_indices: dict[int, int] = {}
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for index, node in enumerate(table[:]):
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require(int(node["internal_node_id"]) == index, "wrong-internal-node-identity", str(index))
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instance = canonical_instance(text_value(node["instance_name"]))
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label = positive_label(text_value(node["source_label"]))
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require(instance == INSTANCE, "wrong-result-instance", instance)
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require(label not in node_indices, "duplicate-result-node", str(label))
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require(label in nodes, "extra-result-node", str(label))
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require(np.isfinite(node["coordinates"]).all(), "nonfinite-result-node", str(label))
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require(tuple(node["coordinates"]) == nodes[label], "wrong-result-coordinate", str(label))
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node_indices[label] = index
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require(node_indices.keys() == nodes.keys(), "result-node-inventory", "Source node inventories differ.")
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require("steps" in file and isinstance(file["steps"], h5py.Group)
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and set(file["steps"]) == {STEP}, "wrong-result-step", "Expected one accepted step.")
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accepted = dataset(file, f"steps/{STEP}/accepted_frames", (FRAME_COUNT,))
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expected_fields = (("frame_index", "<u8"), ("increment_index", "<u8"),
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("time", "<f8"), ("iteration_count", "<u8"), ("is_initial", "u1"))
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require(accepted.dtype.names == tuple(name for name, _ in expected_fields)
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and all(accepted.dtype[name] == np.dtype(dtype) for name, dtype in expected_fields),
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"wrong-frame-table-schema", str(accepted.dtype))
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frame_path = f"steps/{STEP}/frames"
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require(frame_path in file and isinstance(file[frame_path], h5py.Group)
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and set(file[frame_path]) == {str(i) for i in range(FRAME_COUNT)},
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"result-frame-inventory", "Missing, extra, or noncanonical frame group.")
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selection = [node_indices[label] for label in NODE_LABELS]
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for frame, row in enumerate(accepted[:]):
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scheduled_time = float(frame) * INCREMENT
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require(int(row["frame_index"]) == frame and int(row["increment_index"]) == frame
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and math.isfinite(row["time"]) and float(row["time"]) == scheduled_time
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and int(row["is_initial"]) == int(frame == 0)
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and 0 <= int(row["iteration_count"]) <= 100
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and (frame != 0 or (int(row["iteration_count"]) == 0 and not np.signbit(row["time"]))),
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"wrong-result-frame-time", str(frame))
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displacement = dataset(file, f"{frame_path}/{frame}/nodal/displacement", (NODE_COUNT, 6))
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require(displacement.dtype == np.dtype("<f8"), "wrong-displacement-type", str(frame))
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for name, value in {
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"component_names": "UX,UY,UZ,URX,URY,URZ",
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"component_unit_dimensions": "length,length,length,1,1,1",
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"coordinate_system": "global-cartesian", "location": "nodal",
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"step_name": STEP, "source_step_name": STEP,
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"rotation_representation": "total-rotation-vector-chart",
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"quantity_semantics": "global-translation-and-total-rotation-vector",
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}.items():
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string_attribute(displacement, name, value)
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for name, dtype, value in (
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("schema_version", "<u8", schema_version), ("frame_index", "<u8", frame),
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("increment_index", "<u8", frame), ("time", "<f8", scheduled_time),
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("is_initial", "u1", int(frame == 0)),
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):
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numeric_attribute(displacement, name, dtype, value)
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if schema_version == 2:
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auxiliary = dataset(file, f"{frame_path}/{frame}/nodal/algorithmic_acceleration", (NODE_COUNT, 6))
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require(auxiliary.dtype == np.dtype("<f8"), "wrong-auxiliary-type", str(frame))
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for name, value in {
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"component_names": "AUX1,AUX2,AUX3,AUX4,AUX5,AUX6",
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"component_unit_dimensions": "length/time^2,length/time^2,length/time^2,1/time^2,1/time^2,1/time^2",
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"coordinate_system": "fixed-initial-global-chart", "location": "nodal",
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"step_name": STEP, "source_step_name": STEP,
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"rotation_representation": "total-rotation-vector-chart",
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"quantity_semantics": "full-chart-HHT-filter-combination-not-predictor-driver",
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}.items():
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string_attribute(auxiliary, name, value)
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for name, dtype, value in (
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("schema_version", "<u8", schema_version), ("frame_index", "<u8", frame),
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("increment_index", "<u8", frame), ("time", "<f8", scheduled_time),
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("is_initial", "u1", int(frame == 0)),
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):
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numeric_attribute(auxiliary, name, dtype, value)
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require(np.isfinite(auxiliary[:]).all(), "nonfinite-auxiliary-value", str(frame))
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values = displacement[:]
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require(np.isfinite(values).all(), "nonfinite-result-value", str(frame))
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if frame == 0:
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require((values == 0.0).all(), "nonzero-initial-displacement", "Frame zero must have q0=0.")
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projected.append(values[selection])
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return projected, {"source_input_identity": source_identity, "source_node_count": NODE_COUNT,
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"accepted_frame_count": FRAME_COUNT, "checked_result_scalars": NODE_COUNT * FRAME_COUNT * 6,
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"projected_node_labels": list(NODE_LABELS)}
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def evaluate_family(increment: int, quantity: str, result: list[float],
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reference: list[float]) -> dict[str, Any]:
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"""Apply the common policy exactly, including zero-scale and family RMS."""
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require(len(result) == len(reference) and len(result) > 0, "scalar-inventory", quantity)
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require(all(math.isfinite(value) for value in (*result, *reference)),
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"nonfinite-comparison-value", quantity)
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scale = max(abs(value) for value in reference)
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band = POLICY["near_zero_ratio"] * scale
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rows = []
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error_norm = 0.0
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for index, (actual, expected) in enumerate(zip(result, reference)):
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error = abs(actual - expected)
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require(math.isfinite(error), "nonfinite-comparison-value", quantity)
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error_norm = math.hypot(error_norm, error)
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require(math.isfinite(error_norm), "nonfinite-comparison-value", quantity)
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relative_error = None
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if scale == 0.0:
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branch, threshold, passed = "zero-scale-exact", 0.0, error == 0.0
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elif abs(expected) <= band:
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branch, threshold, passed = "near-zero", band, error <= band
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else:
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branch = "relative"
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threshold = POLICY["relative_tolerance"] * abs(expected)
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relative_error = error / abs(expected)
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require(math.isfinite(relative_error), "nonfinite-comparison-value", quantity)
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passed = relative_error <= POLICY["relative_tolerance"]
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rows.append({"instance": INSTANCE, "node_label": NODE_LABELS[index // 3],
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"component": f"{quantity}{index % 3 + 1}", "fesa_value": actual,
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"reference_value": expected, "absolute_error": error,
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"relative_error": relative_error, "branch": branch,
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"threshold": threshold, "passed": passed})
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rows_passed = all(row["passed"] for row in rows)
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rms = error_norm / math.sqrt(len(rows)) / scale if scale else None
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require(rms is None or math.isfinite(rms), "nonfinite-comparison-value", quantity)
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rms_passed = rows_passed if scale == 0.0 else rms <= POLICY["relative_rms_tolerance"]
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return {"identity": f"{quantity}-global:{STEP}:increment-{increment}", "case": CASE,
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"step": STEP, "increment": increment, "hdf5_time": float(increment) * INCREMENT,
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"reference_decimal_time": str(Decimal(increment) / Decimal(10)),
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"quantity": quantity, "components": [f"{quantity}{i}" for i in (1, 2, 3)],
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"unit_dimension": "length" if quantity == "U" else "rad",
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"coordinate_system": "global-cartesian" if quantity == "U" else "fixed-initial-global-total-rotation-vector",
|
|
"impact": "blocking" if quantity == "U" else "warning-only", "row_count": len(rows),
|
|
"reference_scale": scale, "near_zero_band": band, "rows": rows,
|
|
"rows_passed": rows_passed, "relative_rms": rms, "rms_passed": rms_passed,
|
|
"diagnostic_code": "zero-reference-scale-nonzero-error" if scale == 0.0 and not rows_passed else None,
|
|
"passed": rows_passed and rms_passed}
|
|
|
|
|
|
def compare(input_path: Path, reference_path: Path, results_path: Path) -> dict[str, Any]:
|
|
report: dict[str, Any] = {
|
|
"schema": "hht-reference-comparison-v1", "case": CASE, "policy": dict(POLICY),
|
|
"identities": {}, "precheck": {"passed": False}, "families": [],
|
|
"blocking_failures": [], "warnings": [], "blocking_passed": False, "verdict": "failed",
|
|
}
|
|
try:
|
|
for name, path in (("input", input_path), ("reference", reference_path), ("results", results_path)):
|
|
report["identities"][name] = {"path": str(path.absolute())}
|
|
with path.open("rb") as stream:
|
|
report["identities"][name]["sha256"] = hashlib.file_digest(stream, "sha256").hexdigest()
|
|
nodes, content_identity = input_inventory(input_path)
|
|
reference = read_reference(reference_path)
|
|
result, evidence = read_results(results_path, nodes, content_identity)
|
|
families = []
|
|
for frame in range(FRAME_COUNT):
|
|
for quantity, first in (("U", 0), ("UR", 3)):
|
|
actual = [float(value) for row in result[frame] for value in row[first:first + 3]]
|
|
expected = [value for label in NODE_LABELS for value in reference[(frame, label)][first:first + 3]]
|
|
families.append(evaluate_family(frame, quantity, actual, expected))
|
|
report["precheck"] = {"passed": True, "reference_row_count": len(reference),
|
|
"reference_frame_count": FRAME_COUNT, **evidence}
|
|
report["families"] = families
|
|
for family in families:
|
|
if family["passed"]:
|
|
continue
|
|
if family["impact"] == "blocking":
|
|
report["blocking_failures"].append(family["identity"])
|
|
else:
|
|
if not family["rows_passed"]:
|
|
report["warnings"].append({"family": family["identity"], "code": "row-tolerance-failure"})
|
|
if not family["rms_passed"]:
|
|
report["warnings"].append({"family": family["identity"], "code": "relative-rms-failure"})
|
|
report["blocking_passed"] = not report["blocking_failures"]
|
|
report["verdict"] = "passed" if report["blocking_passed"] else "failed"
|
|
except (ComparisonError, OSError, ValueError, InvalidOperation, UnicodeError) as error:
|
|
report["precheck"] = {"passed": False, "code": getattr(error, "code", "invalid-comparison-input"),
|
|
"message": str(error)}
|
|
return report
|
|
|
|
|
|
def main() -> int:
|
|
parser = argparse.ArgumentParser(description=__doc__)
|
|
parser.add_argument("--input", type=Path, default=REFERENCE_DIRECTORY / f"{CASE}.inp")
|
|
parser.add_argument("--reference", type=Path, default=REFERENCE_DIRECTORY / f"{CASE} displacements.csv")
|
|
parser.add_argument("--results", type=Path)
|
|
parser.add_argument("--report", type=Path, required=True)
|
|
args = parser.parse_args()
|
|
results = args.results or args.input.with_name(args.input.stem + "_results.h5")
|
|
if args.report.resolve() in {args.input.resolve(), args.reference.resolve(), results.resolve()}:
|
|
parser.error("The report path must not overwrite an input, reference, or solver result.")
|
|
report = compare(args.input, args.reference, results)
|
|
args.report.parent.mkdir(parents=True, exist_ok=True)
|
|
args.report.write_text(json.dumps(report, indent=2, sort_keys=True, allow_nan=False) + "\n", encoding="utf-8")
|
|
print(json.dumps({"verdict": report["verdict"], "precheck": report["precheck"],
|
|
"blocking_failure_count": len(report["blocking_failures"]),
|
|
"warning_count": len(report["warnings"]), "report": str(args.report)}, allow_nan=False))
|
|
return 2 if not report["precheck"]["passed"] else (0 if report["blocking_passed"] else 1)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
raise SystemExit(main())
|